diff --git a/.env b/.env new file mode 100644 index 0000000000000000000000000000000000000000..89a7c57a087630d13756e38878e70d643fddc5fe --- /dev/null +++ b/.env @@ -0,0 +1,58 @@ +# LLM import use litellm lib (https://docs.litellm.ai/docs/) +# OPENAI | AZURE | OR other LLM PREFIX +LLM_SOURCE='OPENAI' + +LLM_TEMPERATURE='0.1' + +# open ai +OPENAI_API_KEY='sk-666' +OPENAI_API_BASE='https://api.zhtec.xyz/xht/chatWith16k.php' +OPENAI_EMBEDDING_MODEL='text-embedding-ada-002' +OPENAI_LLM_MODEL_NORMAL='gpt-3.5-turbo-16k' +OPENAI_LLM_MODEL_SMART='gpt-4' +OPENAI_LLM_MODEL_SMART_LIMIT='8000' +OPENAI_LLM_MODEL_SMART_LONG='gpt-4-32k' +OPENAI_LLM_MODEL_SMART_LONG_LIMIT='32000' +OPENAI_LLM_MODEL_LONG='gpt-4-1106-preview' +OPENAI_LLM_MODEL_VISION='gpt-4-vision-preview' +OPENAI_LLM_MODEL_ALL='gpt-4-all' + +# azure open ai +AZURE_API_KEY='xx' +AZURE_API_BASE='xx' +AZURE_API_VERSION='2023-06-01-preview' +AZURE_EMBEDDING_MODEL='azure/ada002' +AZURE_LLM_MODEL_NORMAL='azure/gpt35t' +AZURE_LLM_MODEL_SMART='azure/gpt4' +OPENAI_LLM_MODEL_SMART_LIMIT='8000' +AZURE_LLM_MODEL_LONG='azure/gpt4' + +# replicate +REPLICATE_API_TOKEN='r8_E2UIynoq1yuY5ErDijgm4uR1C2pW8pG4IPXU7' + +## user data directory, store user's applications、functions、application_datas and server datas +DATA_DIR='/workspace/data/' + +# cache llm inference and embedding, useful when develop and debug +LLM_CACHE='no' +EMBEDDING_CACHE='yes' +# CACHE_PATH='./llm_cache.json' + +# google search tool at https://google.serper.dev +SERPER_API_KEY='7a7a62b5f4a991043dd7fe96553802fb7675927c' + +# Whether to automatically run python, shell, applescript and other codes +# Default no: n +AUTO_RUN='y' + +# Logging level +# Default: INFO, can be DEBUG, INFO, WARNING, ERROR +LOG_LEVEL='INFO' + +## ui builder directory, webui server(webui/server/server/app.py) will automatically set TSX_BUILDER_DIR to webui/server/server/ts_builder +# TSX_BUILDER_DIR + +## local applications code directory. webui server(webui/server/server/app.py) will automatically set LOCAL_APPLICATIONS_DIR to webui/server/server/applicatoins +# LOCAL_APPLICATIONS_DIR + +# export $(grep -v '^#' .env | sed 's/^export //g' | xargs) \ No newline at end of file diff --git a/.gitattributes b/.gitattributes index 44a744071c7d50fee9ba36bba6cd14395ac5df91..ad2bf505b18de13c07b4b9f64035b0d74210907f 100644 --- a/.gitattributes +++ b/.gitattributes @@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text GeneralAgent/GeneralAgent/skills/merge_video_audio/music.wav filter=lfs diff=lfs merge=lfs -text GeneralAgent/test/data/Nougat.pdf filter=lfs diff=lfs merge=lfs -text +GeneralAgent/skills/merge_video_audio/music.wav filter=lfs diff=lfs merge=lfs -text +test/data/Nougat.pdf filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..d5ae3e7716f58f56d4ddca11bddd031a2b158660 --- /dev/null +++ b/.gitignore @@ -0,0 +1,40 @@ +*.pyc +GeneralAgent/.env +GeneralAgent/*.json + +test/data_0.json +test/data/test_workspace/* +test/tetris.py +test/tetris.py.bak +GeneralAgent/cache_json +test/data/plan_memory.json +test/data/test_interpreter.bin +test/data/b.txt +test/data/a.txt +test/data/hello.pptx +test/.env + +build/* +dist/* +GeneralAgent.egg-info* +test/multi_lines_input/* +test/multi_lines_input/* +.env +examples/memory.json +test/link_memory.json +test/memory.json +test/llm_cache.json +test/summary_memory.json +*/llm_cache.json +test/test_skills/data/* +test/test_skills/llm_cache.json +webui/server/server/applications/test_application_id/bot.json +webui/server/server/applications/test_application_id/main.py +data/* + +.idea/* +test/test_skills/code/* +test/data/ui/* +test/code/* +test/data/read_interpreter/* +webui/server/server/ts_builder/src/lib/index.tsx diff --git a/GeneralAgent/__init__.py b/GeneralAgent/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..bd29ebace2969d4adaa57124530303c143209701 --- /dev/null +++ b/GeneralAgent/__init__.py @@ -0,0 +1 @@ +from .skills import skills \ No newline at end of file diff --git a/GeneralAgent/agent/__init__.py b/GeneralAgent/agent/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c2c636f0fccfc355b08822f6cd400bb39f571dd7 --- /dev/null +++ b/GeneralAgent/agent/__init__.py @@ -0,0 +1,14 @@ +# import +from .normal_agent import NormalAgent +from .stack_agent import StackAgent + +class Agent(NormalAgent): + pass + +import os +LLM_SOURCE = os.environ.get('LLM_SOURCE', None) +if LLM_SOURCE is None: + print('enviroment variable LLM_SOURCE not available.') + +from GeneralAgent.utils import set_logging_level +set_logging_level() \ No newline at end of file diff --git a/GeneralAgent/agent/abs_agent.py b/GeneralAgent/agent/abs_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..4854a5cc63c2e51e796c203626bd8f4dde4e31ce --- /dev/null +++ b/GeneralAgent/agent/abs_agent.py @@ -0,0 +1,83 @@ +import abc +import os +import asyncio +from GeneralAgent.utils import default_get_input, default_output_callback + + +class AbsAgent(metaclass=abc.ABCMeta): + """ + Abstract Agent + @memory: Memory + @interpreters: list, interpreters + @model_type: str, 'normal' or 'smart' or 'long'. For OpenAI api, normal=gpt3.5, smart=gpt4, long=gpt3.5-16k + @hide_output_parse: bool, hide the llm's output that output interpreters will parse, default True + """ + memory = None + interpreters = [] + model_type = 'normal' + hide_output_parse = False + + def add_role_prompt(self, prompt): + """ + add role prompt + """ + if len(self.interpreters) > 0 and self.interpreters[0].__class__.__name__ == 'RoleInterpreter': + role_interpreter = self.interpreters[0] + if role_interpreter.system_prompt is not None: + role_interpreter.system_prompt += '\n' + prompt + else: + role_interpreter.system_prompt_template += '\n' + prompt + + @abc.abstractmethod + async def run(self, input=None, output_callback=default_output_callback, input_for_memory_node_id=-1): + """ + input: str, user's new input, None means continue to run where it stopped + input_for_memory_node_id: int, -1 means input is not from memory, None means input new, otherwise input is for memory node + output_callback: async function, output_callback(content: str) -> None + """ + pass + + def stop(self): + """ + stop the agent + """ + self.stop_event.set() + + + def __init__(self, workspace='./'): + """ + @workspace: str, workspace path + """ + if not os.path.exists(workspace): + os.makedirs(workspace) + self.is_running = False + self.stop_event = asyncio.Event() + self.workspace = workspace + + @classmethod + def empty(cls, workspace='./'): + """ + empty agent, only role interpreter and memory, work like a basic LLM chatbot + @workspace: str, workspace path + """ + pass + + @classmethod + def default(cls, workspace='./', retrieve_type='embedding'): + """ + default agent, with all interpreters + @workspace: str, workspace path + @retrieve_type: str, 'embedding' or 'link' + """ + pass + + @classmethod + def with_functions(cls, functions, role_prompt=None, workspace = './', model_type='smart'): + """ + functions: list, [function1, function2, ...] + @role_prompt: str, role prompt + @workspace: str, workspace path + @import_code: str, import code + @libs: str, libs + """ + pass \ No newline at end of file diff --git a/GeneralAgent/agent/normal_agent.py b/GeneralAgent/agent/normal_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..4184a8807c896b18f9a8824a32921a8f02805f4c --- /dev/null +++ b/GeneralAgent/agent/normal_agent.py @@ -0,0 +1,189 @@ +# Agent +import os, re +import asyncio +import logging +from GeneralAgent.utils import default_get_input, default_output_callback +from GeneralAgent.memory import NormalMemory +from GeneralAgent.interpreter import Interpreter +from GeneralAgent.interpreter import EmbeddingRetrieveInterperter, LinkRetrieveInterperter +from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter, ShellInterpreter, AppleScriptInterpreter, FileInterpreter +from .abs_agent import AbsAgent + + +class NormalAgent(AbsAgent): + + def __init__(self, workspace='./'): + super().__init__(workspace) + self.memory = NormalMemory(serialize_path=f'{workspace}/normal_memory.json') + + @classmethod + def empty(cls, workspace='./'): + """ + empty agent, only role interpreter and memory, work like a basic LLM chatbot + """ + agent = cls(workspace) + agent.interpreters = [RoleInterpreter()] + return agent + + @classmethod + def default(cls, workspace='./', retrieve_type='embedding'): + """ + default agent, with all interpreters + @workspace: str, workspace path + @retrieve_type: str, 'embedding' or 'link' + """ + agent = cls(workspace) + # memory + # interpreters + role_interpreter = RoleInterpreter() + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + if retrieve_type == 'embedding': + retrieve_interperter = EmbeddingRetrieveInterperter(serialize_path=f'{workspace}/read_interperter/') + else: + retrieve_interperter = LinkRetrieveInterperter(python_interpreter) + bash_interpreter = ShellInterpreter(workspace) + applescript_interpreter = AppleScriptInterpreter() + file_interpreter = FileInterpreter() + agent.interpreters = [role_interpreter, retrieve_interperter, python_interpreter, bash_interpreter, applescript_interpreter, file_interpreter] + return agent + + @classmethod + def with_functions(cls, functions, role_prompt=None, workspace = './', model_type='smart'): + """ + functions: list, [function1, function2, ...] + @role_prompt: str, role prompt + @workspace: str, workspace path + @import_code: str, import code + @libs: str, libs + """ + agent = cls(workspace) + role_interpreter = RoleInterpreter() + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + python_interpreter.function_tools = functions + agent.interpreters = [role_interpreter, python_interpreter, ShellInterpreter()] + agent.model_type = model_type + if role_prompt is not None: + agent.add_role_prompt(role_prompt) + return agent + + + async def run(self, input=None, output_callback=default_output_callback, input_for_memory_node_id=-1): + """ + agent run: parse intput -> get llm messages -> run LLM and parse output + @input: str, user's new input, None means continue to run where it stopped + @input_for_memory_node_id: int, -1 means input is not from memory, None means input new, otherwise input is for memory node + @output_callback: async function, output_callback(content: str) -> None + """ + self.is_running = True + + input_stop = await self._parse_input(input, output_callback) + if input_stop: + self.is_running = False + return + + while True: + messages = await self._get_llm_messages() + output_stop = await self._llm_and_parse_output(messages, output_callback) + if output_stop: + self.is_running = False + return + await asyncio.sleep(0) + if self.stop_event.is_set(): + self.is_running = False + return + + async def _parse_input(self, input, output_callback): + self.memory.add_message('user', input) + input_content = input + input_stop = False + interpreter:Interpreter = None + for interpreter in self.interpreters: + if interpreter.input_match(input_content): + logging.info('interpreter: ' + interpreter.__class__.__name__) + parse_output, case_is_stop = await interpreter.input_parse(input_content) + if case_is_stop: + await output_callback(parse_output) + input_stop = True + return input_stop + + async def _get_llm_messages(self): + from GeneralAgent import skills + messages = self.memory.get_messages() + token_limit = skills.get_llm_token_limit(self.model_type) + messages = skills.cut_messages(messages, int(token_limit*0.8)) + system_prompt = '\n\n'.join([await interpreter.prompt(messages) for interpreter in self.interpreters]) + messages = [{'role': 'system', 'content': system_prompt}] + messages + return messages + + async def _llm_and_parse_output(self, messages, output_callback): + from GeneralAgent import skills + try: + result = '' + is_stop = True + is_break = False + in_parse_content = False + cache_tokens = [] + response = skills.llm_inference(messages, model_type=self.model_type, stream=True) + for token in response: + if token is None: break + result += token + # logging.debug(result) + # print(token) + if self.hide_output_parse: + if not in_parse_content: + interpreter:Interpreter = None + for interpreter in self.interpreters: + is_start_matched, string_matched = interpreter.output_match_start(result) + if is_start_matched: + in_parse_content = True + # clear cache + cache_tokens.append(token) + left_count = len(string_matched) + while left_count > 0: + left_count -= len(cache_tokens[-1]) + cache_tokens.remove(cache_tokens[-1]) + while len(cache_tokens) > 0: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + if not in_parse_content: + # cache token + cache_tokens.append(token) + if len(cache_tokens) > 5: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + else: + await output_callback(token) + interpreter:Interpreter = None + for interpreter in self.interpreters: + if interpreter.output_match(result): + logging.info('interpreter: ' + interpreter.__class__.__name__) + output, is_stop = await interpreter.output_parse(result) + if interpreter.outptu_parse_done_recall is not None: + await interpreter.outptu_parse_done_recall() + if self.hide_output_parse: + is_matched, string_left = interpreter.output_match_end(result) + await output_callback(string_left) + while len(cache_tokens) > 0: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + result += '\n' + output.strip() + '\n' + # logging.debug(result) + if not self.hide_output_parse or is_stop: + await output_callback('\n' + output.strip() + '\n') + is_break = True + in_parse_content = False + break + if is_break: + break + while len(cache_tokens) > 0: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + # append messages + # logging.debug(result) + self.memory.append_message('assistant', result) + return is_stop + except Exception as e: + # if fail, recover + logging.exception(e) + await output_callback(str(e)) + return True \ No newline at end of file diff --git a/GeneralAgent/agent/stack_agent.py b/GeneralAgent/agent/stack_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..07a3dc405fc99deafb601a8172cf4516c747bb86 --- /dev/null +++ b/GeneralAgent/agent/stack_agent.py @@ -0,0 +1,221 @@ +# Agent +import os, re +import asyncio +import logging +from GeneralAgent.utils import default_get_input, default_output_callback +from GeneralAgent.memory import StackMemory, StackMemoryNode +from GeneralAgent.interpreter import Interpreter +from GeneralAgent.interpreter import PlanInterpreter, EmbeddingRetrieveInterperter, LinkRetrieveInterperter +from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter, ShellInterpreter, AppleScriptInterpreter, FileInterpreter +from .abs_agent import AbsAgent + + +class StackAgent(AbsAgent): + + def __init__(self, workspace='./'): + super().__init__(workspace) + self.memory = StackMemory(serialize_path=f'{workspace}/memory.json') + + @classmethod + def empty(cls, workspace='./'): + """ + empty agent, only role interpreter and memory, work like a basic LLM chatbot + """ + agent = cls(workspace) + agent.interpreters = [RoleInterpreter()] + return agent + + @classmethod + def default(cls, workspace='./', retrieve_type='embedding'): + """ + default agent, with all interpreters + @workspace: str, workspace path + @retrieve_type: str, 'embedding' or 'link' + """ + agent = cls(workspace) + # memory + # interpreters + role_interpreter = RoleInterpreter() + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + plan_interperter = PlanInterpreter(agent.memory) + if retrieve_type == 'embedding': + retrieve_interperter = EmbeddingRetrieveInterperter(serialize_path=f'{workspace}/read_interperter/') + else: + retrieve_interperter = LinkRetrieveInterperter(python_interpreter) + bash_interpreter = ShellInterpreter(workspace) + applescript_interpreter = AppleScriptInterpreter() + file_interpreter = FileInterpreter() + agent.interpreters = [role_interpreter, plan_interperter, retrieve_interperter, python_interpreter, bash_interpreter, applescript_interpreter, file_interpreter] + return agent + + @classmethod + def with_functions(cls, functions, role_prompt=None, workspace = './', model_type='smart'): + """ + functions: list, [function1, function2, ...] + @role_prompt: str, role prompt + @workspace: str, workspace path + @import_code: str, import code + @libs: str, libs + """ + agent = cls(workspace) + role_interpreter = RoleInterpreter(system_prompt=role_prompt) + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + python_interpreter.function_tools = functions + agent.interpreters = [role_interpreter, python_interpreter, ShellInterpreter()] + agent.model_type = model_type + return agent + + + async def run(self, input=None, output_callback=default_output_callback, input_for_memory_node_id=-1): + """ + agent run: parse intput -> get llm messages -> run LLM and parse output + input: str, user's new input, None means continue to run where it stopped + input_for_memory_node_id: int, -1 means input is not from memory, None means input new, otherwise input is for memory node + output_callback: async function, output_callback(content: str) -> None + """ + self.is_running = True + + if input_for_memory_node_id == -1: + memory_node_id = self.memory.current_node.node_id if self.memory.current_node is not None else None + else: + memory_node_id = input_for_memory_node_id + input_node = self._insert_node(input, memory_node_id) if input is not None else None + + # input interpreter + if input_node is not None: + input_content = input + input_stop = False + self.memory.set_current_node(input_node) + interpreter:Interpreter = None + for interpreter in self.interpreters: + if interpreter.input_match(input_content): + logging.info('interpreter: ' + interpreter.__class__.__name__) + # await output_callback('input parsing\n') + input_content, case_is_stop = await interpreter.input_parse(input_content) + if case_is_stop: + await output_callback(input_content) + input_stop = True + input_node.content = input_content + self.memory.update_node(input_node) + if input_stop: + self.memory.success_node(input_node) + self.is_running = False + return input_node.node_id + + # execute todo node from memory + todo_node = self.memory.get_todo_node() or input_node + logging.debug(self.memory) + while todo_node is not None: + new_node, is_stop = await self._execute_node(todo_node, output_callback) + logging.debug(self.memory) + logging.debug(new_node) + logging.debug(is_stop) + if is_stop: + return new_node.node_id + todo_node = self.memory.get_todo_node() + await asyncio.sleep(0) + if self.stop_event.is_set(): + self.is_running = False + return None + self.is_running = False + return None + + def _insert_node(self, input, memory_node_id=None): + node = StackMemoryNode(role='user', action='input', content=input) + if memory_node_id is None: + logging.debug(self.memory) + self.memory.add_node(node) + else: + for_node = self.memory.get_node(memory_node_id) + self.memory.add_node_after(for_node, node) + self.memory.success_node(for_node) + return node + + async def _execute_node(self, node, output_callback): + # construct system prompt + from GeneralAgent import skills + messages = self.memory.get_related_messages_for_node(node) + messages = skills.cut_messages(messages, 3000) + system_prompt = '\n\n'.join([await interpreter.prompt(messages) for interpreter in self.interpreters]) + messages = [{'role': 'system', 'content': system_prompt}] + messages + + # add answer node and set current node + answer_node = StackMemoryNode(role='system', action='answer', content='') + self.memory.add_node_after(node, answer_node) + self.memory.set_current_node(answer_node) + + if node.action == 'plan': + await output_callback(f'\n[{node.content}]\n') + + try: + result = '' + is_stop = False + is_break = False + in_parse_content = False + cache_tokens = [] + response = skills.llm_inference(messages, model_type=self.model_type, stream=True) + for token in response: + if token is None: break + result += token + # print(token) + if self.hide_output_parse: + if not in_parse_content: + interpreter:Interpreter = None + for interpreter in self.interpreters: + is_start_matched, string_matched = interpreter.output_match_start(result) + if is_start_matched: + in_parse_content = True + # clear cache + cache_tokens.append(token) + left_count = len(string_matched) + while left_count > 0: + left_count -= len(cache_tokens[-1]) + cache_tokens.remove(cache_tokens[-1]) + while len(cache_tokens) > 0: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + if not in_parse_content: + # cache token + cache_tokens.append(token) + if len(cache_tokens) > 5: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + else: + await output_callback(token) + interpreter:Interpreter = None + for interpreter in self.interpreters: + if interpreter.output_match(result): + logging.info('interpreter: ' + interpreter.__class__.__name__) + output, is_stop = await interpreter.output_parse(result) + if interpreter.outptu_parse_done_recall is not None: + await interpreter.outptu_parse_done_recall() + if self.hide_output_parse: + is_matched, string_left = interpreter.output_match_end(result) + await output_callback(string_left) + result += '\n' + output.strip() + '\n' + if not self.hide_output_parse or is_stop: + await output_callback('\n' + output.strip() + '\n') + is_break = True + in_parse_content = False + break + if is_break: + break + while len(cache_tokens) > 0: + pop_token = cache_tokens.pop(0) + await output_callback(pop_token) + # await output_callback('\n') + # update current node and answer node + answer_node.content = result + self.memory.update_node(answer_node) + self.memory.success_node(node) + # llm run end with any interpreter, success the node + if not is_break: + self.memory.success_node(answer_node) + return answer_node, is_stop + except Exception as e: + # if fail, recover + logging.exception(e) + await output_callback(str(e)) + self.memory.delete_node(answer_node) + self.memory.set_current_node(node) + return node, True \ No newline at end of file diff --git a/GeneralAgent/cli.py b/GeneralAgent/cli.py new file mode 100644 index 0000000000000000000000000000000000000000..910c7b640f967875fe31de8b7bb6dc8bbe6a0322 --- /dev/null +++ b/GeneralAgent/cli.py @@ -0,0 +1,39 @@ +import os +import asyncio +import datetime +import argparse +from GeneralAgent.agent import Agent +from GeneralAgent.utils import default_get_input, set_logging_level + + +async def _main(args): + if args.auto_run: + os.environ['AUTO_RUN'] = 'y' + else: + os.environ['AUTO_RUN'] = 'n' + set_logging_level(os.environ.get('LOG_LEVEL', 'ERROR')) + workspace = args.workspace + if args.new: + if os.path.exists(workspace): + workspace = workspace + '_' + datetime.datetime.now().strftime('%Y%m%d%H%M%S') + print('New workspace: ', workspace) + if not os.path.exists(workspace): + os.mkdir(workspace) + + agent = Agent.default(workspace=workspace) + print('You can input multi lines, enter twice to end') + while True: + input_content = default_get_input() + print('[output]\n', end='', flush=True) + await agent.run(input_content) + +def main(): + parser = argparse.ArgumentParser(description='GeneralAgent CLI') + parser.add_argument('--workspace', default='./general_agent', help='Set workspace directory') + parser.add_argument('--new', action='store_true', help='Enable new workspace') + parser.add_argument('--auto_run', action='store_true', help='Auto run code without confirm') + args = parser.parse_args() + asyncio.run(_main(args)) + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/GeneralAgent/interpreter/__init__.py b/GeneralAgent/interpreter/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2cf37a16cb19a6567ee1dfca221b21281bdd0c96 --- /dev/null +++ b/GeneralAgent/interpreter/__init__.py @@ -0,0 +1,22 @@ +# import +from .interpreter import Interpreter + +# role +from .role_interpreter import RoleInterpreter + +# input +from .plan_interpreter import PlanInterpreter + +# retrieve +from .embedding_retrieve_interpreter import EmbeddingRetrieveInterperter +from .link_retrieve_interpreter import LinkRetrieveInterperter + +# output +from .applescript_interpreter import AppleScriptInterpreter +from .file_interpreter import FileInterpreter +from .python_interpreter import SyncPythonInterpreter +from .python_interpreter import AsyncPythonInterpreter +from .shell_interpreter import ShellInterpreter +from .ui_interpreter import UIInterpreter +class PythonInterpreter(AsyncPythonInterpreter): + pass \ No newline at end of file diff --git a/GeneralAgent/interpreter/applescript_interpreter.py b/GeneralAgent/interpreter/applescript_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..36b175a30a3175613fe4a5490cb348153232a4ac --- /dev/null +++ b/GeneralAgent/interpreter/applescript_interpreter.py @@ -0,0 +1,46 @@ +import re +from .interpreter import Interpreter +from GeneralAgent.utils import confirm_to_run + +applescript_promt = """ +# Run applescript +* Here are the commands +```applescript + +``` +* the command will be executed if in macOS computer. +""" + +class AppleScriptInterpreter(Interpreter): + + output_match_pattern = '```(\n)?applescript(.*?)\n```' + output_match_start_pattern = '```(\n)?applescript' + + async def prompt(self, messages) -> str: + return applescript_promt + + async def output_parse(self, string) -> (str, bool): + pattern = re.compile(self.output_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + if confirm_to_run(): + sys_out = self._run_applescript(match.group(2)) + return sys_out.strip(), False + else: + return '', False + + def _run_applescript(self, content): + content = content.replace('"', '\\"') + sys_out = '' + import subprocess + try: + p = subprocess.Popen('osascript -e "{}"'.format(content), shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + except: + pass + finally: + sys_out, err = p.communicate() + sys_out = sys_out.decode('utf-8') + sys_out = sys_out.strip() + if sys_out == '': + sys_out = 'run successfully' + return sys_out \ No newline at end of file diff --git a/GeneralAgent/interpreter/embedding_retrieve_interpreter.py b/GeneralAgent/interpreter/embedding_retrieve_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..8d705397f54e0143228bdcd8438acd6757ab9d25 --- /dev/null +++ b/GeneralAgent/interpreter/embedding_retrieve_interpreter.py @@ -0,0 +1,77 @@ +# read the document and can retrieve the information +import re +from .interpreter import Interpreter +import chromadb +import logging + +class EmbeddingRetrieveInterperter(Interpreter): + """ + EmbeddingRetrieveInterperter can retrieve the information from the memory by embedding. + """ + + input_match_pattern = '```read\n(.*?)\n```' + + def __init__(self, serialize_path='./read_data/', prompt_max_length=1000, useful_msg_count=2) -> None: + self.prompt_max_length = prompt_max_length + self.useful_msg_count = useful_msg_count + self.client = chromadb.PersistentClient(path=serialize_path) + self.collection = self.client.get_or_create_collection(name="read", metadata={"hnsw:space": "cosine"}) + + async def prompt(self, messages) -> str: + from GeneralAgent import skills + # when collection is empty, return empty string + if self.collection.count() == 0: + return '' + + querys = [] + for x in messages[-self.useful_msg_count:]: + querys += skills.split_text(x['content'], 200) + query_embeddings = skills.embedding_batch(querys) + result = self.collection.query( + query_embeddings=query_embeddings, + n_results=2, + ) + # extract distances and documents + distances = [x for z in result['distances'] for x in z] + documents = [x for z in result['documents'] for x in z] + + # sort distances and documents by distance + sorted_docs = sorted(list(zip(distances, documents)), key=lambda x: x[0]) + + # filter documents with distance < 100 + documents = [x for d, x in sorted_docs if d < 100] + # texts token count should less than prompt_max_length + texts = [] + texts_token_count = 0 + for x in documents: + if texts_token_count + skills.string_token_count(x) > self.prompt_max_length: + break + texts.append(x) + return '\n'.join(texts) + + async def input_parse(self, string) -> (str, bool): + from GeneralAgent import skills + information = [] + pattern = re.compile(self.input_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + file_paths = match.group(1).strip().split('\n') + for file_path in file_paths: + paragraphs = skills.split_text(skills.read_file_content(file_path), max_token=300) + if len(paragraphs) > 0: + information.append(f'The content of file {file_path} is: ' + '\n'.join(paragraphs)[:100] + '\n......') + embeddings = skills.embedding_batch(paragraphs) + # logging.debug(paragraphs[:2]) + # logging.debug(embeddings[:2]) + self.collection.add( + documents=paragraphs, + embeddings=embeddings, + metadatas=[{'file_path': file_path} for _ in paragraphs], + ids=[file_path+str(i) for i in range(len(paragraphs))], + ) + stop = False + if string.replace(match.group(0), '').strip() == '': + stop = True + info = '\n'.join(information) + string = f'\n{string}\n```{info}```\n' + return string, stop \ No newline at end of file diff --git a/GeneralAgent/interpreter/file_interpreter.py b/GeneralAgent/interpreter/file_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..f3165bc09d59ecd849522f69435bb8681695b73d --- /dev/null +++ b/GeneralAgent/interpreter/file_interpreter.py @@ -0,0 +1,120 @@ +import re, os +import logging +from .interpreter import Interpreter + +file_prompt = """ +# For file operations, ALWAYS enclose your commands in triple backticks (```). Here are the commands: + +1. Write: +```file + write < +EOF +``` +2. Read: +```file + read +``` +3. Delete: +```file + delete +``` + +Line numbers start from 0, and -1 is the last line. +Read will print the content of the file with [line numbers] prefixed. +""" + + +class FileInterpreter(Interpreter): + + output_match_pattern = '```(\n)?file(\n| )?(.*?) (write|read|delete) (-?\d+) (-?\d+)(.*?)```' + + async def prompt(self, messages) -> str: + return file_prompt + + def _parse_commands(self, string): + match = re.search(self.output_match_pattern, string, re.DOTALL) + assert match is not None + file_path = match.group(3) + operation = match.group(4) + start_line = int(match.group(5)) + end_line = int(match.group(6)) + content = match.group(7).strip() + if content.startswith('< (str, bool): + logging.debug('FileInterpreter:parse called') + file_path, operation, start_line, end_line, content = self._parse_commands(string) + is_stop = True + if operation == 'write': + self._write_file(file_path, content, start_line, end_line) + return f'Content write to {file_path} successfully\n', is_stop + elif operation == 'delete': + self._delete_file(file_path, start_line, end_line) + return f'Delete lines of {file_path} successfully\n', is_stop + elif operation == 'read': + content = self._read_file(file_path, start_line, end_line) + return f'Read {file_path} succesfully, the content is below: \n\n```\n{content}\n```\n', is_stop + + def _write_file(self, file_path, content, start_index, end_index): + # if .py file, remove ```python and ``` pair + if file_path.endswith('.py'): + content = content.replace('```python', '') + content = content.replace('```', '') + # file_path = os.path.join(self.workspace, file_path) + dir_path = os.path.dirname(file_path) + if not os.path.exists(dir_path): + os.makedirs(dir_path) + if not os.path.exists(file_path): + with open(file_path, 'w', encoding='utf-8') as f: + f.write('') + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + if start_index == -1: + start_index = len(lines) + if end_index == -1: + end_index = len(lines) + lines = lines[:start_index] + [content] + lines[end_index+1:] + with open(file_path, 'w', encoding='utf-8') as f: + f.writelines(lines) + + def _delete_file(self, file_path, start_index, end_index): + # file_path = os.path.join(self.workspace, file_path) + if not os.path.exists(file_path): + with open(file_path, 'w', encoding='utf-8') as f: + f.write('') + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + if start_index == -1: + start_index = len(lines) + if end_index == -1: + end_index = len(lines) + lines = lines[:start_index] + lines[end_index+1:] + with open(file_path, 'w', encoding='utf-8') as f: + f.writelines(lines) + + def _read_file(self, file_path, start_index, end_index): + # file_path = os.path.join(self.workspace, file_path) + if not os.path.exists(file_path): + with open(file_path, 'w', encoding='utf-8') as f: + f.write('') + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + if start_index == -1: + start_index = len(lines) + if end_index == -1: + end_index = len(lines) + content = '' + end_index = min(end_index + 1, len(lines)) + for index in range(start_index, end_index): + new_add = f'[{index}]{lines[index]}' + if len(content + new_add) > 2000: + left_count = len(lines) - index + content += f'...\n[there are {left_count} lines left]' + break + content += new_add + return content.strip() \ No newline at end of file diff --git a/GeneralAgent/interpreter/interpreter.py b/GeneralAgent/interpreter/interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..25db9e1a1f5ceee214ac07e36761b30747ef838b --- /dev/null +++ b/GeneralAgent/interpreter/interpreter.py @@ -0,0 +1,80 @@ +# Interpreter +import abc +import re + +class Interpreter(metaclass=abc.ABCMeta): + """ + Interpreter is the base class for all interpreters. + input_match_pattern is the pattern to match the LLM input string. for example ```tsx\n(.*?)\n``` + output_match_pattern is the pattern to match the LLM ouput string. for example ```tsx\n(.*?)\n``` + output_match_start_pattern is the pattern to match the start of the LLM output string. for example: ```tsx\n + outptu_parse_done_recall is the callback function to recall when the output_parse is done + """ + input_match_pattern = None + output_match_pattern = None + output_match_start_pattern = None + outptu_parse_done_recall = None + + async def prompt(self, messages) -> str: + """ + :param messages: list of messages + :return: string + """ + return '' + + def input_match(self, string) -> bool: + if self.input_match_pattern is None: + return False + match = re.compile(self.input_match_pattern, re.DOTALL).search(string) + if match is not None: + return True + else: + return False + + def output_match(self, string) -> bool: + if self.output_match_pattern is None: + return False + match = re.compile(self.output_match_pattern, re.DOTALL).search(string) + if match is not None: + return True + else: + return False + + def output_match_start(self, string) -> (bool, str): + """ + return is_match, string_matched + """ + if self.output_match_start_pattern is None: + return False, '' + match = re.compile(self.output_match_start_pattern, re.DOTALL).search(string) + if match is not None: + string_matched = string[match.start():] + return True, string_matched + else: + return False, '' + + def output_match_end(self, string) -> (bool, str): + """ + return is_match, string_matched + """ + if self.output_match_pattern is None: + return False, '' + match = re.compile(self.output_match_pattern, re.DOTALL).search(string) + if match is not None: + string_left = string[match.end():] + return True, string_left + else: + return False, '' + + async def input_parse(self, string) -> (str, bool): + """ + parse the input、output string, and return the output string and is_stop + """ + return '', False + + async def output_parse(self, string) -> (str, bool): + """ + parse the input、output string, and return the output string and is_stop + """ + return '', False + diff --git a/GeneralAgent/interpreter/link_retrieve_interpreter.py b/GeneralAgent/interpreter/link_retrieve_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..9b88b4fa2bfc708d1f823b2f634cb1621a79a7db --- /dev/null +++ b/GeneralAgent/interpreter/link_retrieve_interpreter.py @@ -0,0 +1,57 @@ +# read the document and can retrieve the information +import re +from .interpreter import Interpreter +from GeneralAgent.memory import LinkMemory + + +class LinkRetrieveInterperter(Interpreter): + """ + LinkRetrieveInterperter store and retrieve the information from the memory by link embed in the document. like I live in <>. + LinkRetrieveInterperter handle input string like this: + ```read + path/to/file1.pdf + path/to/file2.pdf + ``` + """ + + input_match_pattern = '```read\n(.*?)\n```' + + def __init__(self, python_interpreter=None, sparks_dict_name='sparks'): + self.python_intrepreter = python_interpreter + self.sparks_dict_name = sparks_dict_name + self.link_memory = LinkMemory() + + async def prompt(self, messages) -> str: + if self.link_memory.is_empty(): + return None + else: + access_prompt = f""" +In Python, You can access the values of <> in all documents through the dictionary {self.sparks_dict_name}, such as <>: +``` +print({self.sparks_dict_name}['Hello world']) +``` +""" + return await 'Background Information: \n' + self.link_memory.get_memory(messages) + access_prompt + + async def input_parse(self, string) -> (str, bool): + from GeneralAgent import skills + pattern = re.compile(self.input_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + file_paths = match.group(1).strip().split('\n') + result = '' + async def output_callback(token): + nonlocal result + if token is not None: + result += token + for file_path in file_paths: + content = skills.read_file_content(file_path) + await self.link_memory.add_memory(content, output_callback=output_callback) + self._update_python_variables() + return string + '\n' + result, True + + def _update_python_variables(self): + if self.python_intrepreter is not None: + nodes = self.link_memory.concepts.values() + sparks_dict = dict(zip([node.key for node in nodes], [node.content for node in nodes])) + self.python_intrepreter.set_variable(self.sparks_dict_name, sparks_dict) \ No newline at end of file diff --git a/GeneralAgent/interpreter/plan_interpreter.py b/GeneralAgent/interpreter/plan_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..fc2e4794e811a6bf410d5f74ab9fb3e3f07786e5 --- /dev/null +++ b/GeneralAgent/interpreter/plan_interpreter.py @@ -0,0 +1,59 @@ +import re +from collections import OrderedDict +from .interpreter import Interpreter +from GeneralAgent.memory import StackMemoryNode + + +class PlanInterpreter(Interpreter): + """ + PlanInterperter is used to parse the plan structure. + PlanInterpreter handle the input string like this: + ```runplan + section1 + section1.1 + ``` + Note: this is only for StackAgent and StackMemory. + """ + input_match_pattern = '```runplan(.*?)?\n(.*?)\n```' + + def __init__(self, memory, max_plan_depth=4) -> None: + self.memory = memory + self.max_plan_depth = max_plan_depth + + async def prompt(self, messages) -> str: + return '' + + async def input_parse(self, string) -> (str, bool): + pattern = re.compile(self.input_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + prefix = match.group(1).strip() + structure_data = match.group(2).strip() + plan_dict = self._structure_plan(structure_data) + current_node = self.memory.current_node + self._add_plans_for_node(current_node, plan_dict, prefix) + return string, False + + def _add_plans_for_node(self, node:StackMemoryNode, plan_dict, prefix): + if self.memory.get_node_level(node) >= self.max_plan_depth: + return + for k, v in plan_dict.items(): + new_node = StackMemoryNode(role='system', action='plan', content=k.strip(), prefix=prefix) + self.memory.add_node_in(node, new_node) + if len(v) > 0: + self._add_plans_for_node(new_node, v, prefix) + + @classmethod + def _structure_plan(cls, data): + structured_data = OrderedDict() + current_section = [structured_data] + for line in data.split('\n'): + if not line.strip(): + continue + depth = line.count(' ') + section = line.strip() + while depth < len(current_section) - 1: + current_section.pop() + current_section[-1][section] = OrderedDict() + current_section.append(current_section[-1][section]) + return structured_data \ No newline at end of file diff --git a/GeneralAgent/interpreter/python_interpreter.py b/GeneralAgent/interpreter/python_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..284c067f5659dd35b45d0993d529cee3c64c353d --- /dev/null +++ b/GeneralAgent/interpreter/python_interpreter.py @@ -0,0 +1,326 @@ +import re, io, os, sys +import pickle +import logging +from jinja2 import Template +from .interpreter import Interpreter +from GeneralAgent.utils import confirm_to_run +from GeneralAgent import skills +import asyncio + +default_import_code = """ +import os, sys, math +from GeneralAgent import skills +""" + +# default_libs = ' '.join(["requests", "tinydb", "openai", "jinja2", "numpy", "bs4", "playwright", "retrying", "pymupdf", "python-pptx", "python-docx", "yfinance"]) +# default_libs = skills.get_current_env_python_libs() +default_libs = '' + +# from GeneralAgent.tools import Tools + +class SyncPythonInterpreter(Interpreter): + """ + Sync Python Interpreter: run python code in the interpreter. Not same namespace with the agent & Can Only run synchronous code + """ + + output_match_start_pattern = '```python\n' + output_match_pattern = '```python\n(.*?)\n```' + + python_prompt_template = """ +# Run python +* format is : ```python\\nthe_code\\n``` +* the code will be executed +* python version is {{python_version}} +* only write synchronous code +* The output display should be limited in length and should be truncated when displaying characters whose length is unknown. for example: print(a[:100]) +* * Pickleable objects can be shared between different codes and variables +* Available libraries: {{python_libs}} +* The following functions can be used in code (already implemented and imported for you): +``` +{{python_funcs}} +``` +""" + + function_tools = [] + + def __init__(self, + serialize_path:str=None, + libs: str=default_libs, + import_code:str=None, + prompt_append='', + stop_wrong_count = 2 + ): + """ + Args: + serialize_path (str): path to save the global variables, default None, which means not save, like './serialized.bin' + libs ([str], optional): libraries can be to used. Defaults to skills.get_current_env_python_libs() + import_code (str, optional): code to import. The tools used should be imported. Defaults to default_import_code. + prompt_append: append to the prompt, custom prompt can be added here + stop_wrong_count: stop running when the code is wrong for stop_wrong_count times + """ + from GeneralAgent import skills + self.globals = {} # global variables shared by all code + self.python_libs = libs + self.import_code = import_code or default_import_code + self.serialize_path = serialize_path + self.prompt_append = prompt_append + # self.tools = tools or Tools([]) + self.globals = self.load() + # count the number of times the code is wrong, and stop running when it reaches the threshold + self.run_wrong_count = 0 + self.stop_wrong_count = stop_wrong_count + + def load(self): + if self.serialize_path is None: + return {} + if os.path.exists(self.serialize_path): + with open(self.serialize_path, 'rb') as f: + data = pickle.loads(f.read()) + return data['globals'] + return {} + + async def prompt(self, messages) -> str: + from GeneralAgent import skills + funtions = '\n\n'.join([skills.get_function_signature(x) for x in self.function_tools]) + variables = { + 'python_libs': self.python_libs, + 'python_funcs': funtions, + 'python_version': skills.get_python_version() + } + return Template(self.python_prompt_template).render(**variables) + self.prompt_append + + def save(self): + if self.serialize_path is None: + return + self._remove_unpickleable() + # save + with open(self.serialize_path, 'wb') as f: + data = {'globals': self.globals} + f.write(pickle.dumps(data)) + + def _remove_unpickleable(self): + if '__builtins__' in self.globals: + self.globals.__delitem__('__builtins__') + keys = list(self.globals.keys()) + for key in keys: + try: + pickle.dumps(self.globals[key]) + except Exception as e: + self.globals.__delitem__(key) + + async def output_parse(self, string) -> (str, bool): + sys_out = '' + pattern = re.compile(self.output_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + if confirm_to_run(): + sys_out, stop = await self.run_code(match.group(1)) + result = 'python runs result:\n' + sys_out.strip() + return result, stop + else: + return '', False + + async def run_code(self, code): + stop = False + code = self.add_print(code) + code = self.import_code + '\n' + code + globals_backup = self.load() + logging.debug(code) + sys_stdout = '' + output = io.StringIO() + sys.stdout = output + success = False + try: + exec(code, self.globals) + success = True + self.run_wrong_count = 0 + except Exception as e: + import traceback + sys_stdout += traceback.format_exc() + self.globals = globals_backup + self.run_wrong_count += 1 + if self.run_wrong_count >= self.stop_wrong_count: + stop = True + finally: + sys_stdout += output.getvalue() + sys.stdout = sys.__stdout__ + if success: + self.save() + sys_stdout = sys_stdout.strip() + if sys_stdout == '': + sys_stdout = 'run successfully' + return sys_stdout, stop + + def get_variable(self, name): + if name in self.globals: + return self.globals[name] + else: + logging.warning(f"Variable {name} not found") + return None + + def set_variable(self, name, value): + self.globals[name] = value + self.save() + + @classmethod + def add_print_old(cls, code_string): + pattern = r'^(\s*)(\w+)(\s*)$' + lines = code_string.split('\n') + for i, line in enumerate(lines): + keywords = ['False' 'None', 'True', 'and', 'as', 'assert', 'async', 'await', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield'] + if line.strip() in keywords: + continue + match = re.match(pattern, line) + if match: + lines[i] = f'{match.group(1)}print({match.group(2)}){match.group(3)}' + return '\n'.join(lines) + + @classmethod + def add_print(cls, code_string): + from GeneralAgent import skills + code = code_string.strip() + lines = code.split('\n') + if len(lines) > 0: + last_line = lines[-1] + if skills.python_line_is_variable_expression(last_line): + last_line = f'print({last_line})' + lines[-1] = last_line + return '\n'.join(lines) + +def _remove_unpickleable(namespace): + import pickle + if '__builtins__' in namespace: + namespace.__delitem__('__builtins__') + keys = list(namespace.keys()) + for key in keys: + try: + pickle.dumps(namespace[key]) + except Exception as e: + namespace.__delitem__(key) + return namespace + + +def code_wrap(code, namespace): + lines = code.split('\n') + code = '\n '.join(lines) + variables = '\n '.join([f'{name} = globals()[\'{name}\']' for name, value in namespace.items()]) + content = f""" +import asyncio + +def _remove_unpickleable(namespace): + import pickle + if '__builtins__' in namespace: + namespace.__delitem__('__builtins__') + keys = list(namespace.keys()) + for key in keys: + try: + pickle.dumps(namespace[key]) + except Exception as e: + namespace.__delitem__(key) + for name in ['__name', '__value', '__namespace']: + if name in namespace: + namespace.__delitem__(name) + return namespace + +__namespace = None + +async def __main(): + {variables} + {code} + global __namespace + __namespace = _remove_unpickleable(locals().copy()) +""" + # print('------------------') + # print(content) + # print('------------------') + return content + + +class AsyncPythonInterpreter(SyncPythonInterpreter): + """ + Sync Python Interpreter: run python code in the interpreter. Same namespace with the agent & Can run async code + """ + + python_prompt_template = """ +# Run python +- format is : ```python\\nthe_code\\n``` +- the code will be executed +- python version is {{python_version}} +- Pickleable objects can be shared between different codes and variables +- The output display should be limited in length and should be truncated when displaying characters whose length is unknown. for example: print(a[:100]) +- Available libraries: {{python_libs}} +Complete the entire process in one code instead of writing multiple codes to run step by step. For example, the following code is allowed: +```python +# step 1 +a = fun1(xx) +# step 2 +c = fun2(a) +# step 3 +d = fun3(c) +... +``` +- The following functions can be used in code (already implemented and imported for you): +``` +{{python_funcs}} +``` +""" + + async def run_code(self, code): + stop = False + code = self.add_print(code) + code = code_wrap(code, self.globals) + code = self.import_code + '\n' + code + # print('hello') + # print(code) + # print(self.function_tools) + globals_backup = self.load() + logging.debug(code) + sys_stdout = '' + output = io.StringIO() + sys.stdout = output + success = False + try: + # exec(code, self.globals) + # run async python code + local_vars = self.globals + # register functions + for fun in self.function_tools: + local_vars[fun.__name__] = fun + # print(local_vars) + exec(code, local_vars, local_vars) + main_function = local_vars['__main'] + await asyncio.create_task(main_function()) + local_vars = _remove_unpickleable(local_vars) + local_vars = local_vars['__namespace'] + # remove functions + for fun in self.function_tools: + if fun.__name__ in local_vars: + local_vars.__delitem__(fun.__name__) + self.globals = local_vars + + success = True + self.run_wrong_count = 0 + except Exception as e: + import traceback + sys_stdout += traceback.format_exc() + self.globals = globals_backup + logging.exception((e)) + self.run_wrong_count += 1 + if self.run_wrong_count >= self.stop_wrong_count: + stop = True + finally: + sys_stdout += output.getvalue() + sys.stdout = sys.__stdout__ + if success: + self.save() + sys_stdout = sys_stdout.strip() + if sys_stdout == '': + sys_stdout = 'run successfully' + return sys_stdout, stop + + +# class PythonInterpreter(AsyncPythonInterpreter): +# """ +# Sync Python Interpreter: run python code in the interpreter. Same namespace with the agent & Can run async code +# """ +# pass \ No newline at end of file diff --git a/GeneralAgent/interpreter/role_interpreter.py b/GeneralAgent/interpreter/role_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..9f444c9be2a5bae2692043b9ac639feb704e199f --- /dev/null +++ b/GeneralAgent/interpreter/role_interpreter.py @@ -0,0 +1,40 @@ +import os +import datetime +import platform +from jinja2 import Template +from .interpreter import Interpreter + + +class RoleInterpreter(Interpreter): + """ + RoleInterpreter, a interpreter that can change the role of the agent. + Note: This should be the first interpreter in the agent. + """ + + system_prompt_template = \ +""" +Now: {{now}} +You are GeneralAgent, a agent on the {{os_version}} computer to help the user solve the problem. +Remember, you can control the computer and access the internet. +Reponse message in markdown format to user. for example file a.txt, you should reponse [title](a.txt) +You can use the following skills (start with # ) to help you solve the problem directly without explain, without ask for permission. +""" + + def __init__(self, system_prompt=None) -> None: + from GeneralAgent import skills + self.os_version = skills.get_os_version() + self.system_prompt = system_prompt + + async def prompt(self, messages) -> str: + if self.system_prompt is not None: + return self.system_prompt + if os.environ.get('LLM_CACHE', 'no') in ['yes', 'y', 'YES']: + now = '2023-09-27 00:00:00' + else: + now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') + data = { + 'now': now, + 'os_version': self.os_version + } + the_prompt = Template(self.system_prompt_template).render(**data) + return the_prompt \ No newline at end of file diff --git a/GeneralAgent/interpreter/shell_interpreter.py b/GeneralAgent/interpreter/shell_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..bcf04eeb1f2f0c7acbc9d59eec90a293bfde8090 --- /dev/null +++ b/GeneralAgent/interpreter/shell_interpreter.py @@ -0,0 +1,44 @@ +import re +from .interpreter import Interpreter +from GeneralAgent.utils import confirm_to_run + +shell_prompt = """ +# Run shell +* format is : ```shell\\nthe_command\\n``` +* the command will be executed +""" + +class ShellInterpreter(Interpreter): + + output_match_start_pattern = '```shell\n' + output_match_pattern = '```shell\n(.*?)\n```' + + def __init__(self, workspace='./') -> None: + self.workspace = workspace + + async def prompt(self, messages) -> str: + return shell_prompt + + async def output_parse(self, string) -> (str, bool): + pattern = re.compile(self.output_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + if confirm_to_run(): + output = self._run_bash(match.group(1)) + return output.strip(), False + else: + return '', False + + def _run_bash(self, content): + sys_out = '' + import subprocess + if 'python ' in content: + content = content.replace('python ', 'python3 ') + try: + p = subprocess.Popen(content, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) + except: + pass + finally: + sys_out, err = p.communicate() + sys_out = sys_out.decode('utf-8') + return sys_out \ No newline at end of file diff --git a/GeneralAgent/interpreter/ui_interpreter.py b/GeneralAgent/interpreter/ui_interpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..c200881ee71a11f44353745210570570d2e8202f --- /dev/null +++ b/GeneralAgent/interpreter/ui_interpreter.py @@ -0,0 +1,51 @@ +import re +from .interpreter import Interpreter +import asyncio + +class UIInterpreter(Interpreter): + + output_match_start_pattern = '```tsx\n' + output_match_pattern = '```tsx\n(.*?)\n```' + + ui_prompt = """ +# Send UI to user +Use the following tsx architecture to write a React component. The component will be compiled into a UI and sent to the user. The user's input can be sent to you through the save_data function. +```tsx +const React = (window as any).React; +const antd = (window as any).antd; + +const [Form, Input, Button] = [antd.Form, antd.Input, antd.Button]; + +const LibTemplate = ({save_data}: {save_data: (data:any)=>void}) => { + // use save_data to save the data +} + +export default LibTemplate; +``` +""" + + def __init__(self, send_ui, output_callback, workspace=None) -> None: + """ + :param send_ui: the async function to send ui to user + :param workspace: workspace for the interpreter + """ + self.send_ui = send_ui + self.output_callback = output_callback + self.workspace = workspace + + async def prompt(self, messages) -> str: + return self.ui_prompt + + async def output_parse(self, string) -> (str, bool): + from GeneralAgent import skills + pattern = re.compile(self.output_match_pattern, re.DOTALL) + match = pattern.search(string) + assert match is not None + code = match.group(1) + lib_name, js_path = skills.parse_tsx_to_ui(code, save_dir=self.workspace) + # Terminate the output callback + await self.output_callback(None) + # Send UI to user + await self.send_ui(lib_name, js_path) + print('Send UI to user successfuly.') + return '', True \ No newline at end of file diff --git a/GeneralAgent/memory/__init__.py b/GeneralAgent/memory/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..08a93521d866e632fed83dcd882f803ecfd4282b --- /dev/null +++ b/GeneralAgent/memory/__init__.py @@ -0,0 +1,4 @@ +# import +from .normal_memory import NormalMemory +from .stack_memory import StackMemory, StackMemoryNode +from .link_memory import LinkMemory, LinkMemoryNode \ No newline at end of file diff --git a/GeneralAgent/memory/link_memory.py b/GeneralAgent/memory/link_memory.py new file mode 100644 index 0000000000000000000000000000000000000000..95827d4b6843fdeea4603521184bb822aa29164d --- /dev/null +++ b/GeneralAgent/memory/link_memory.py @@ -0,0 +1,125 @@ +from dataclasses import dataclass +from typing import List +from tinydb import TinyDB, Query +import asyncio + +@dataclass +class LinkMemoryNode: + key: str + content: str + childrens: List[str] = None + parents: List[str] = None + + def __post_init__(self): + self.childrens = self.childrens if self.childrens else [] + self.parents = self.parents if self.parents else [] + + def __str__(self): + return f'<<{self.key}>>\n{self.content}' + + def __repr__(self): + return str(self) + + +async def summarize_and_segment(text, output_callback=None): + from GeneralAgent import skills + summary = await skills.summarize_text(text) + if output_callback is not None: + await output_callback(f'Summary: {summary}\n') + segments = await skills.segment_text(text) + if output_callback is not None: + for key in segments: + await output_callback(f'<<{key}>>\n') + return summary, segments + + +class LinkMemory(): + def __init__(self, serialize_path='./link_memory.json', short_memory_limit=2000) -> None: + self.serialize_path = serialize_path + self.short_memory_limit = short_memory_limit + self.db = TinyDB(serialize_path) + nodes = [LinkMemoryNode(**x) for x in self.db.all()] + self.concepts = dict(zip([node.key for node in nodes], nodes)) + self.short_memory = '' + self._load_short_memory() + + def is_empty(self): + return len(self.concepts) == 0 + + async def add_memory(self, content, output_callback=None): + from GeneralAgent import skills + # await self._oncurrent_summarize_content(content, output_callback) + await self._summarize_content(content, output_callback) + while skills.string_token_count(self.short_memory) > self.short_memory_limit: + content = self.short_memory + self.short_memory = '' + # await self._oncurrent_summarize_content(content, output_callback) + await self._summarize_content(content, output_callback) + + async def get_memory(self, messages=None): + from GeneralAgent import skills + if len(self.concepts) == 0: + return '' + if messages is None: + return self.short_memory + else: + messages = skills.cut_messages(messages, 1000) + xx = self.short_memory.split('\n') + background = '\n'.join([f'#{line} {xx[line]}' for line in range(len(xx))]) + task = '\n'.join([f'{x["role"]}: {x["content"]}' for x in messages]) + info = await skills.extract_info(background, task) + line_numbers, keys = skills.parse_extract_info(info) + result = [] + for line_number in line_numbers: + if line_number < len(xx) and line_number >= 0: + result.append(xx[line_number]) + for key in keys: + if key in self.concepts: + result.append(f'{key}\n{self.concepts[key]}\n') + return '\n'.join(result) + + def _load_short_memory(self): + short_memorys = self.db.table('short_memory').all() + self.short_memory = '' if len(short_memorys) == 0 else short_memorys[0]['content'] + + def _save_short_memory(self): + self.db.table('short_memory').truncate() + self.db.table('short_memory').insert({'content': self.short_memory}) + + async def _oncurrent_summarize_content(self, input): + from GeneralAgent import skills + inputs = skills.split_text(input, max_token=3000) + print('splited count: ', len(inputs)) + coroutines = [summarize_and_segment(x) for x in inputs] + results = await asyncio.gather(*coroutines) + for summary, nodes in results: + new_nodes = {} + for key in nodes: + new_key = self._add_node(key, nodes[key]) + new_nodes[new_key] = nodes[key] + self.short_memory += '\n' + summary + ' Detail in ' + ', '.join([f'<<{key}>>' for key in new_nodes]) + self.short_memory = self.short_memory.strip() + self._save_short_memory() + + async def _summarize_content(self, input, output_callback=None): + from GeneralAgent import skills + inputs = skills.split_text(input, max_token=3000) + for text in inputs: + summary, nodes = await summarize_and_segment(text, output_callback) + new_nodes = {} + for key in nodes: + new_key = self._add_node(key, nodes[key]) + new_nodes[new_key] = nodes[key] + self.short_memory += '\n' + summary + ' Detail in ' + ', '.join([f'<<{key}>>' for key in new_nodes]) + self.short_memory = self.short_memory.strip() + self._save_short_memory() + + def _add_node(self, key, value): + index = 0 + new_key = key + while new_key in self.concepts: + index += 1 + new_key = key + str(index) + self.concepts[new_key] = LinkMemoryNode(key=new_key, content=value) + self.db.upsert(self.concepts[key].__dict__, Query().key == new_key) + return new_key \ No newline at end of file diff --git a/GeneralAgent/memory/normal_memory.py b/GeneralAgent/memory/normal_memory.py new file mode 100644 index 0000000000000000000000000000000000000000..f8feab41229ac1304cb82bd6ccba3bf2a74351c1 --- /dev/null +++ b/GeneralAgent/memory/normal_memory.py @@ -0,0 +1,42 @@ +# Memeory +import json +import os + +class NormalMemory: + def __init__(self, serialize_path='./memory.json'): + self.messages = [] + self.serialize_path = serialize_path + if os.path.exists(serialize_path): + with open(serialize_path, 'r', encoding='utf-8') as f: + self.messages = json.load(f) + + def save(self): + with open(self.serialize_path, 'w', encoding='utf-8') as f: + json.dump(self.messages, f) + + def add_message(self, role, content): + assert role in ['user', 'assistant'] + self.messages.append({'role': role, 'content': content}) + self.save() + + def append_message(self, role, content): + assert role in ['user', 'assistant'] + if len(self.messages) > 0 and self.messages[-1]['role'] == role: + self.messages[-1]['content'] += '\n' + content + else: + self.messages.append({'role': role, 'content': content}) + self.save() + + def get_messages(self): + return self.messages + + +def test_NormalMemory(): + serialize_path = './memory.json' + mem = NormalMemory(serialize_path=serialize_path) + mem.add_message('user', 'hello') + mem.add_message('assistant', 'hi') + mem = NormalMemory(serialize_path=serialize_path) + assert len(mem.get_messages()) == 2 + mem.append_message('assistant', 'hi') + assert len(mem.get_messages()) == 2 \ No newline at end of file diff --git a/GeneralAgent/memory/stack_memory.py b/GeneralAgent/memory/stack_memory.py new file mode 100644 index 0000000000000000000000000000000000000000..0dbf5cb4f9d6da0a62c9b55961cbe58946d556ed --- /dev/null +++ b/GeneralAgent/memory/stack_memory.py @@ -0,0 +1,223 @@ +# Memeory +from dataclasses import dataclass +from typing import List +from tinydb import TinyDB, Query + + +@dataclass +class StackMemoryNode: + role: str + action: str + state: str = 'ready' + content: str = None + prefix: str = None + node_id: int = None + parent: int = None + childrens: List[int] = None + + def __post_init__(self): + assert self.role in ['user', 'system', 'root'], self.role + assert self.action in ['input', 'answer', 'plan'], self.action + assert self.state in ['ready', 'success', 'fail'], self.state + self.childrens = self.childrens if self.childrens else [] + + def __str__(self): + return f'<{self.role}><{self.action}><{self.state}>: {self.content}' + + def __repr__(self): + return str(self) + + def success_work(self): + self.state = 'success' + + def fail_work(self): + self.state = 'fail' + + def is_root(self): + return self.role == 'root' + + def get_level(self): + if self.is_root(): + return 0 + else: + return self.get_parent().get_level() + 1 + + @classmethod + def new_root(cls): + return cls(node_id=0, role='root', action='input', state='success', content='root', parent=None, childrens=[]) + + +class StackMemory: + def __init__(self, serialize_path='./memory.json'): + self.db = TinyDB(serialize_path) + nodes = [StackMemoryNode(**node) for node in self.db.all()] + self.spark_nodes = dict(zip([node.node_id for node in nodes], nodes)) + # add root node + if len(self.spark_nodes) == 0: + root_node = StackMemoryNode.new_root() + self.spark_nodes[root_node.node_id] = root_node + self.db.insert(root_node.__dict__) + # load current_node + current_nodes = self.db.table('current_node').all() + if len(current_nodes) > 0: + node_id = current_nodes[0]['id'] + # print(node_id) + # print(self) + self.current_node = self.get_node(node_id) + else: + self.current_node = None + + def set_current_node(self, current_node): + self.current_node = current_node + # save current node + self.db.table('current_node').truncate() + self.db.table('current_node').insert({'id': current_node.node_id}) + + def new_node_id(self): + return max(self.spark_nodes.keys()) + 1 + + def node_count(self): + # ignore root node + return len(self.spark_nodes.keys()) - 1 + + def is_all_children_success(self, node): + # check if all childrens of node are success + childrens = [self.get_node(node_id) for node_id in node.childrens] + return all([children.state == 'success' for children in childrens]) + + def add_node(self, node): + # put in root node + root_node = self.get_node(0) + node.node_id = self.new_node_id() + node.parent = root_node.node_id + root_node.childrens.append(node.node_id) + # save node + self.update_node(root_node) + self.db.insert(node.__dict__) + self.spark_nodes[node.node_id] = node + + def delete_node(self, node): + # delete node and all its childrens + for children_id in node.childrens: + children = self.get_node(children_id) + self.delete_node(children) + parent = self.get_node_parent(node) + if parent: + parent.childrens.remove(node.node_id) + self.update_node(parent) + self.db.remove(Query().node_id == node.node_id) + del self.spark_nodes[node.node_id] + + + def add_node_after(self, last_node, node): + # add node after last_node + node.node_id = self.new_node_id() + node.parent = last_node.parent + parent = self.get_node_parent(node) + if parent: + parent.childrens.insert(parent.childrens.index(last_node.node_id)+1, node.node_id) + self.update_node(parent) + # move childrens of last_node to node + node.childrens = last_node.childrens + last_node.childrens = [] + self.update_node(last_node) + for children_id in node.childrens: + children = self.get_node(children_id) + children.parent = node.node_id + self.update_node(children) + # save node + self.db.insert(node.__dict__) + self.spark_nodes[node.node_id] = node + return node + + def add_node_in(self, parent_node, node, put_first=False): + # add node in parent_node + node.node_id = self.new_node_id() + node.parent = parent_node.node_id + if put_first: + parent_node.childrens.insert(0, node.node_id) + else: + parent_node.childrens.append(node.node_id) + self.update_node(parent_node) + # save node + self.db.insert(node.__dict__) + self.spark_nodes[node.node_id] = node + return node + + def get_node(self, node_id): + return self.spark_nodes[node_id] + + def get_node_level(self, node:StackMemoryNode): + if node.is_root(): + return 0 + else: + return self.get_node_level(self.get_node_parent(node)) + 1 + + def get_node_parent(self, node): + if node.parent is None: + return None + else: + return self.get_node(node.parent) + + def update_node(self, node): + self.db.update(node.__dict__, Query().node_id == node.node_id) + + def get_related_nodes_for_node(self, node): + # ancestors + left_brothers + self + parent = self.get_node_parent(node) + brothers = [self.get_node(node_id) for node_id in parent.childrens] + left_brothers = [('brother', x) for x in brothers[:brothers.index(node)]] + ancestors = self.get_related_nodes_for_node(parent) if not parent.is_root() else [] + return ancestors + left_brothers + [('direct', node)] + + def get_related_messages_for_node(self, node: StackMemoryNode): + def _get_message(node, position='direct'): + content = node.content if node.prefix is None else node.prefix + ' ' + node.content + if position == 'brother' and node.action == 'plan' and len(node.childrens) > 0: + content = node.content + ' [detail ...]' + return {'role': node.role, 'content': content} + nodes_with_position = self.get_related_nodes_for_node(node) + messages = [_get_message(node, position) for position, node in nodes_with_position] + # if node.action == 'plan': + # messages[-1]['content'] = 'Improve the details of this topic:: ' + messages[-1]['content'] + return messages + + def get_all_description_of_node(self, node, intend_char=' ', depth=0): + lines = [] + description = intend_char * depth + str(node) + if not node.is_root(): + lines += [description] + for children_id in node.childrens: + children = self.get_node(children_id) + lines += self.get_all_description_of_node(children, intend_char, depth+1) + return lines + + def __str__(self) -> str: + lines = self.get_all_description_of_node(self.get_node(0), depth=-1) + return '\n'.join(lines) + + def success_node(self, node): + node.success_work() + self.update_node(node) + + def _get_todo_node(self, node=None): + # get the first ready node in the tree of node + if node is None: + node = self.get_node(0) + for node_id in node.childrens: + child = self._get_todo_node(self.get_node(node_id)) + if child is not None: + return child + if node.is_root(): + return None + if node.state in ['ready']: + return node + return None + + def get_todo_node(self): + todo_node = self._get_todo_node() + # if all childrens of todo_node are success, success todo_node + if todo_node is not None and len(todo_node.childrens) > 0 and self.is_all_children_success(todo_node): + self.success_node(todo_node) + return self.get_todo_node() + return todo_node \ No newline at end of file diff --git a/GeneralAgent/pytest.ini b/GeneralAgent/pytest.ini new file mode 100644 index 0000000000000000000000000000000000000000..5f5fa6afde9a85db49f3fff5901259d0228a4f40 --- /dev/null +++ b/GeneralAgent/pytest.ini @@ -0,0 +1,2 @@ +[pytest] +python_files = *.py \ No newline at end of file diff --git a/GeneralAgent/requirements.txt b/GeneralAgent/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..25cb1a498e731eb59b41c8a328b7cbbad89a5075 --- /dev/null +++ b/GeneralAgent/requirements.txt @@ -0,0 +1,30 @@ +fastapi==0.104.1 +requests==2.31.0 +tinydb==4.8.0 +openai==0.27.6 +jinja2==3.1.2 +numpy==1.24.4 +bs4==0.0.1 +playwright==1.39.0 +retrying==1.3.4 +pymupdf==1.23.6 +python-pptx==0.6.23 +python-docx==1.1.0 +yfinance==0.2.31 +beautifulsoup4==4.12.2 +python-dotenv==1.0.0 +uvicorn==0.24.0.post1 +tiktoken==0.5.1 +httpx==0.25.1 +pulsar-client==3.3.0 +pymongo==4.6.0 +websocket-client-py3==0.15.0 +websockets==12.0 +pypdf==3.17.1 +replicate==0.18.1 +edge-tts==6.1.9 +pydub==0.25.1 +chromadb==0.4.17 +python-multipart==0.0.6 +pytest==7.4.3 +pytest-asyncio==0.21.1 \ No newline at end of file diff --git a/GeneralAgent/skills/__init__.py b/GeneralAgent/skills/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..820b53104ae662cd21309eb8530334cb07d04560 --- /dev/null +++ b/GeneralAgent/skills/__init__.py @@ -0,0 +1,121 @@ +# 单列 +import os + +def load_functions_with_path(python_code_path): + try: + import importlib.util + import inspect + + # 指定要加载的文件路径和文件名 + module_name = 'skills' + module_file = python_code_path + + # 使用importlib加载文件 + spec = importlib.util.spec_from_file_location(module_name, module_file) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + # 获取文件中的所有函数 + functions = inspect.getmembers(module, inspect.isfunction) + + # 过滤functions中以下划线开头的函数、test_开头的函数 + functions = filter(lambda f: not f[0].startswith('_'), functions) + # functions = filter(lambda f: not f[0].startswith('test_'), functions) + + return [f[1] for f in functions] + except Exception as e: + # 代码可能有错误，加载不起来 + import logging + logging.exception(e) + return [] + +class Skills: + __instance = None + + @classmethod + def __getInstance(cls): + return cls.__instance + + @classmethod + def _instance(cls, *args, **kwargs): + if not Skills.__instance: + Skills.__instance = Skills(*args, **kwargs) + return Skills.__instance + + def __setattr__(self, name, value): + if name.startswith('_'): + object.__setattr__(self, name, value) + else: + self._local_funs[name] = value + + def __getattr__(self, name): + if name.startswith('_'): + return object.__getattr__(self, name) + else: + return self._get_func(name) + + def _get_func(self, name): + fun = self._local_funs.get(name, None) + if fun is not None: + return fun + fun = self._remote_funs.get(name, None) + if fun is not None: + return fun + self._load_remote_funs() + fun = self._remote_funs.get(name, None) + if fun is not None: + return fun + print('Function {} not found'.format(name)) + return None + + def __init__(self): + self._local_funs = {} + self._remote_funs = {} + self._load_local_funs() + self._load_remote_funs() + + def _load_funcs(self, the_dir): + total_funs = [] + for file in os.listdir(the_dir): + # 如果file是文件夹 + if os.path.isdir(os.path.join(the_dir, file)): + total_funs += self._load_funcs(os.path.join(the_dir, file)) + else: + # 如果file是文件 + if file.endswith('.py') and (not file.startswith('__init__') and not file.startswith('_') and not file == 'main.py'): + funcs = load_functions_with_path(os.path.join(the_dir, file)) + total_funs += funcs + return total_funs + + def _load_local_funs(self): + self._local_funs = {} + funcs = self._load_funcs(os.path.dirname(__file__)) + for fun in funcs: + self._local_funs[fun.__name__] = fun + + def _load_remote_funs(self): + from GeneralAgent.utils import get_functions_dir + self._remote_funs = {} + funcs = self._load_funcs(get_functions_dir()) + for fun in funcs: + self._remote_funs[fun.__name__] = fun + + def _search_functions(self, task_description, return_list=False): + """ + Search functions that may help to solve the task. + """ + from .llm_inference import search_similar_texts + signatures = self._all_function_signatures() + results = search_similar_texts(task_description, signatures, top_k=5) + if return_list: + return results + else: + return '\n'.join(results) + + def _all_function_signatures(self): + from .python_envs import get_function_signature + locals = [get_function_signature(fun, 'skills') for fun in self._local_funs.values() if not fun.__name__.startswith('test_')] + remotes = [get_function_signature(fun, 'skills') for fun in self._remote_funs.values() if not fun.__name__.startswith('test_')] + return locals + remotes + +skills = Skills._instance() \ No newline at end of file diff --git a/GeneralAgent/skills/agent_builder_2.py b/GeneralAgent/skills/agent_builder_2.py new file mode 100644 index 0000000000000000000000000000000000000000..c33d86d4538b3447b39e0567e54d51627935ae9b --- /dev/null +++ b/GeneralAgent/skills/agent_builder_2.py @@ -0,0 +1,245 @@ +def _llm_write_ui_lib(lib_name:str, task:str) -> str: + """ + Write a UI library for a given task description. + @param lib_name: The name of the UI library. + @param task: The task description. + @return: The UI library code. + """ + from GeneralAgent import skills + prompt_template = """ +You are a React and Typescript expert. + +# Task +Create a React function component named LibTemplate in tsx language. +The component should have the following functionality: +{{task}} +Note: +1. The component only save data to backend, no need to display data, or result of task. +2. When uploaded file, should show the file path +3. No need to ask user set result file name, backend server will use a unique name to save the file. + +# Import +Use the following import syntax: +``` +const React = (window as any).React; +const antd = (window as any).antd; +``` +No other import methods are allowed. + +# DEMO + +```tsx +const React = (window as any).React; +const antd = (window as any).antd; + +interface Props { + save_data: (user_data:any)=>void, + FileUploadConponent: (props: {onUploadSuccess: (file_path: string) => void, title?: string}) => React.ReactElement +} + +// user save_data to save the user_data +// user_data will be processed into a string through save_data using JSON.stringify({'data': user_data}) and sent to the backend +// use FileUploadConponent to upload file () and add file_path to data before save + +const LibTemplate = (props: Props) => { + + const handleCommit = () => { + # props.save_data(all_data_should_save) + }; + + return (<>{xxx}); +}; + +export default LibTemplate; +``` + +Please reponse the component code which finish the task without any explaination. +""" + + from jinja2 import Template + prompt = Template(prompt_template).render(task=task) + messages = [{'role': 'system', 'content': prompt}] + response = skills.llm_inference(messages, model_type="normal", stream=True) + result = '' + for token in response: + result += token + result = result.replace('LibTemplate', lib_name) + return result + + +def create_application_ui(task: str, component_name: str = None) -> (str, str): + """ + Convert a given task description into UI components. + In the code, user_data will be processed into a string through save_data using JSON.stringify({'data': user_data}) and sent to the backend + @param task: Task description, should include all details related to creating the UI + @param component_name: The name of the UI library. + @return: The name of the UI library, the path of the UI library, the code of the UI library. None if failed. + Example: + create_application_ui('A task description with all the necessary details') + """ + import os + import uuid + from GeneralAgent import skills + lib_name = component_name + if lib_name is None: + lib_name = 'Lib' + str(uuid.uuid1())[:4] + target_dir = os.path.join(skills.get_code_dir(), lib_name) + content = _llm_write_ui_lib(lib_name, task) + code = skills.extract_tsx_code(content) + success = skills.compile_tsx(lib_name, code, target_dir) + if success: + js_path = os.path.join(lib_name, 'index.js') + print(f'UI library created successfully.\n js_component_name: {lib_name}\n js_path: {js_path}\n code: \n```tsx\n{code}\n```') + return lib_name, js_path, code + else: + return None + + +def update_application_meta_2( + application_id:str=None, + type:str=None, + application_name:str=None, + description:str=None, + js_component_name:str=None, + js_path:str=None, + agent_can_upload_file=None, + ) -> None: + """ + Update application meta data. When type is application, you should provide js_component_name and js_path. When type is agent, you should ignore js_component_name and js_path. + @param application_id: application id, You should name it, example: translat_text, ai_draw + @param type: application type, one of ['application', 'agent']. application is a normal application with ui, agent is a agent application with chat interface. + @param application_name: application name + @param description: application description + @param js_component_name: js component name + @param js_path: js file path + @param agent_can_upload_file: agent can upload file or not, default is False, if True, agent can upload file to the application + @return: None + """ + import os, json + from GeneralAgent import skills + bot_json_path = os.path.join(skills.get_code_dir(), 'bot.json') + if os.path.exists(bot_json_path): + with open(bot_json_path, 'r', encoding='utf-8') as f: + app_json = json.loads(f.read()) + else: + app_json = {} + if application_id is not None: + from GeneralAgent import skills + bots = skills.load_applications() + if application_id in [x['id'] for x in bots]: + print(f'application_id ({application_id}) exists. ignore If you are just edit the exist application, or you should change the application_id') + app_json['id'] = application_id + if type is not None: + app_json['type'] = type + if application_name is not None: + app_json['name'] = application_name + if description is not None: + app_json['description'] = description + app_json['upload_file'] = 'yes' + if js_component_name is not None: + app_json['js_name'] = js_component_name + if js_path is not None: + app_json['js_path'] = js_path + if agent_can_upload_file is not None: + app_json['upload_file'] = 'yes' + if os.path.exists(os.path.join(skills.get_code_dir(), 'icon.jpg')): + app_json['icon'] = 'icon.jpg' + else: + del app_json['icon'] + with open(bot_json_path, 'w', encoding='utf-8') as f: + f.write(json.dumps(app_json, indent=4)) + + +def edit_application_code_2(task_description:str) -> str: + """ + edit_application_code_2 is an Agent. You just tell it what will be done and vailable functions, it will generate a python function to complete the task. the code will be saved in main.py, which will be used to create a normal application or agent application. + @param task_description: task description, should be a string and include the detail of task, and what functions can be used. when building a normal application, task_desciption should have the detail of data format that ui save to backend, example: "Create a image creation application. Available functions:\n\nskills.image_generation(prompt) generate a image with prompt (in english), return a image url\n\nskills.translate_text(content, target_language), data format is {'data': {'prompt': 'xxxxx'}}". when building a agent application, ignore the detail of data format, example: "Create a agent. role prompt is : You are a image creator, transfer users's need to create a image. Available functions:\n\n xxxx" + @return: python code for the task + """ + import os + from GeneralAgent import skills + code_path = os.path.join(skills.get_code_dir(), 'main.py') + old_code = None + if os.path.exists(code_path): + with open(code_path, 'r', encoding='utf-8') as f: + old_code = f.read() + code = _generate_agent_code(task_description, default_code=old_code) + with open(code_path, 'w', encoding='utf-8') as f: + f.write(code) + return code + + +def _generate_agent_code(task_description, default_code=None): + """Return the python code text that completes the task to build a chat bot, when default_code is not None, update default_code by task""" + from GeneralAgent import skills + python_version = skills.get_python_version() + requirements = skills.get_current_env_python_libs() + prompt = f""" +You are a python expert, write a python function to complete user's task. +The function in code will be used to create a chat bot, like slack, discord. + +# Function signature +``` +async def main(messages, input, output_callback): + # messages is a list of dict, like [{{"role": "user", "content": "hello"}}, {{"role": "system", "content": "hi"}}] + # input is a string, user's input in agent application, or json string by save_data in UI in normal application. + # output_callback is a async function, output_callback(content: str) -> None. output_callback will send content to user. the content should be markdown format. file should be like [title](sandbox:file_path) +``` + +# Python Version: {python_version} + +# Python Libs installed +{requirements} + +# CONSTRAINTS: +- Do not import the lib that the function not use. +- Import the lib in the function +- In the code, Intermediate files are written directly to the current directory (./) +- Give the function a name that describe the task +- The docstring of the function should be as concise as possible without losing key information, only one line, and output in English + +# DEMO 1 : normal application, write user's input to a file and return +```python +async def main(messages, input, output_callback): + from GeneralAgent import skills + import json + data = json.loads(input)['data'] + # file_path should be a unique name, because the file will not be deleted, and the application will run many times. + file_path = skills.unique_name() + '.json + with open(file_path, 'w', encoding='utf-8') as f: + f.write(json.dumps(data)) + await output_callback(f'file saved: [user_data.json](sandbox:{{file_path}})') +``` + +# DEMO 2 : agent application, Agent with functions +```python +async def main(messages, input, output_callback): + from GeneralAgent.agent import Agent + role_prompt = \"\"\" +You are a translation agent. +You complete user requirements by writing python code to call the predefined functions. +\"\"\" + functions = [ + skills.translate_text + ] + agent = Agent.with_functions(functions) + agent.add_role_prompt(role_prompt) + await agent.run(input, output_callback=output_callback) +```python + +# There are two function types: +1. Application: like DEMO1, The application process is fixed and less flexible, but the function will be more stable +2. Agent: like DEMO2, Agent is a chat bot that can use functions to complete user's task. The agent will automatic handle user's input and output +You can choose one of them to complete the task. + +Please think step by step carefully, consider any possible situation, and write a complete code like DEMO +Just reponse the python code, no any explain, no start with ```python, no end with ```, no any other text. +""" + + messages = [{"role": "system", "content": prompt}] + if default_code is not None: + messages += [{"role": "system", "content": "user's code: " + default_code}] + messages += [{"role": "system", "content": f"user's task: {task_description}"}] + code = skills.llm_inference(messages, model_type='smart') + code = skills.get_python_code(code) + return code \ No newline at end of file diff --git a/GeneralAgent/skills/agents.py b/GeneralAgent/skills/agents.py new file mode 100644 index 0000000000000000000000000000000000000000..9e6a816508152da206bbc0004bfba656f33e0890 --- /dev/null +++ b/GeneralAgent/skills/agents.py @@ -0,0 +1,105 @@ + +async def get_function_builder_agent(): + """ + Get a function builder agent + """ + from GeneralAgent.agent import Agent + from GeneralAgent import skills + from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter, FileInterpreter, ShellInterpreter + from GeneralAgent.utils import get_functions_dir + function_dir = get_functions_dir() + role_prompt = f""" +You are an agent who writes python function and the test function of it, into files according to user needs. +You can control your computer and access the Internet. + +# make a directory to store function file and test dataset +```shell +mkdir -p {function_dir}/function_folder_name +``` + +# copy files uploaded by users to the function file directory +```shell +cp yy.zz {function_dir}/function_folder_name/yy.zz +``` + +# When writing a function, you can first search for available functions. For Example +```python +result = search_functions('scrape web page') +print(result) +``` + +# The function should be written in the folder {function_dir}/functoin_folder_name, and the file name should be the function name +# The content of the file is the function and the test function of the function (starting with test_) +# every created file should have a unique name, which can be generated by skills.unique_name() +# Import code should be placed inside the function + +# DEMO +```file +{function_dir}/image_generation/image_generation.py write 0 -1 < str: + \"\"\" + Generate an image according to the prompt and return the image path. For example, when the prompt is "apple" you will get an image of an apple. Note: The prompt should describe objective things in detail, not abstract concepts. For example, if you want to draw a picture of Chengdu, the prompt should be "Picture of Chengdu, with giant pandas playing in the bamboo forest, people eating hot pot around, and a Jinsha Sunbird totem next to it" instead of "Draw a picture of Chengdu" "painting" + @param prompt: The prompt should be detailed enough to describe the image. Tips can be in any type of language, but English is recommended. + \"\"\" + import replicate + from GeneralAgent import skills + output = replicate.run( + "stability-ai/sdxl:2f779eb9b23b34fe171f8eaa021b8261566f0d2c10cd2674063e7dbcd351509e", + input={{"prompt": prompt}} + ) + image_url = output + if not skills.text_is_english(prompt): + prompt = skills.translate_text(prompt, 'english') + image_url = _replicate_image_generation(prompt) + image_path = skills.try_download_file(image_url) + print(f'image created at {{image_path}}') + return image_path + +def test_image_generation(): + import os + # load test file + file_path = os.path.join(os.path.dirname(__file__), 'yy.zz') + prompt = 'xxx' + image_path = image_generation(prompt) + assert os.path.exists(image_path) +EOF +``` + +# The written functions can be accessed through GeneralAgent's skills library, such as: + +```python +from GeneralAgent import skills +result = skills.function_name() +skills.test_function_name() +``` + +# Note: +- Don't make up functions that don't exist + +# General process for write function +* Fully communicate needs with users +* search available functions (by search_functions in python, optional) +* edit functions (by file operation) +* test functions (by python) +* ask for test files if needed, for example test data, test code, etc. +""" + functoins = [ + skills.search_functions, + # skills.scrape_dynamic_web + ] + workspace = './' + agent = Agent(workspace) + role_interpreter = RoleInterpreter(system_prompt=role_prompt) + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + python_interpreter.function_tools = functoins + + # when file operation(python file), reload functions + file_interpreter = FileInterpreter() + async def reload_funs(): + skills._load_remote_funs() + + file_interpreter.outptu_parse_done_recall = reload_funs + agent.interpreters = [role_interpreter, python_interpreter, FileInterpreter(), ShellInterpreter()] + agent.model_type = 'smart' + agent.hide_output_parse = False + return agent \ No newline at end of file diff --git a/GeneralAgent/skills/ai_draw_prompt_gen.py b/GeneralAgent/skills/ai_draw_prompt_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..ad34002622c8fc3f1d187c1bf0784a041a101e40 --- /dev/null +++ b/GeneralAgent/skills/ai_draw_prompt_gen.py @@ -0,0 +1,11 @@ + +def ai_draw_prompt_gen(command): + """The prompt word generator for AI painting inputs the user's needs and outputs a description word for a picture.""" + from GeneralAgent import skills + system_prompt = "You are a prompt word engineer for AI painting. Your task is to describe the user's needs into descriptors for a picture, and require the content of the picture to meet the user's needs as much as possible. You can add some of your own creativity and understanding. Directly returns the description of the image without explanation or suffixes." + messages = [ + {'role': 'system', 'content': system_prompt}, + {"role": "user", "content": command} + ] + image_prompt = skills.llm_inference(messages) + return image_prompt \ No newline at end of file diff --git a/GeneralAgent/skills/application_builder.py b/GeneralAgent/skills/application_builder.py new file mode 100644 index 0000000000000000000000000000000000000000..541a0e86b98b1787c2310b0978371d54a2d9ada6 --- /dev/null +++ b/GeneralAgent/skills/application_builder.py @@ -0,0 +1,598 @@ + +CODE_DIR = './code' + +def get_code_dir(): + global CODE_DIR + import os + if not os.path.exists(CODE_DIR): + os.makedirs(CODE_DIR) + return CODE_DIR + +def _set_code_dir(code_dir): + global CODE_DIR + CODE_DIR = code_dir + + +def search_functions(task_description:str) -> str: + """ + print function signatures that may help to solve the task, and return the function signatures + """ + from GeneralAgent import skills + functions = skills._search_functions(task_description) + print(functions) + return functions + from jinja2 import Template +# # print(functions) +# prompt_template = """ +# # Functions +# {{functions}} + +# # Task +# {{task}} + +# Please return the function signatures that can solve the task. + +# """ +# prompt = Template(prompt_template).render(task=task_description, functions=functions) +# functions = skills.llm_inference([{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': prompt}]) +# print(functions) +# return functions + + +def edit_normal_function(function_name:str, task_description:str) -> None: + """ + Edit normal function code by task_description + @param function_name: The name of the function to be generated. + @param task_description (str): A description of the task that the generated function should perform and what functions can be used. + @return: The generated Python function signature as a string. + """ + return _edit_function(function_name, task_description, _generate_function_code) + + +def edit_llm_function(function_name: str, task_description:str) -> str: + """ + This function generates a Python function to perform a specific task using a large language model (LLM), such as translation, planning, answering general knowledge questions and so on. + @param function_name: The name of the function to be generated. + @param task_description (str): A description of the task that the generated function should perform. + @return: The generated Python function signature as a string. + """ + return _edit_function(function_name, task_description, _generate_llm_task_function) + + +def _edit_function(function_name: str, task_description:str, code_fun) -> str: + import os + from GeneralAgent import skills + from GeneralAgent.utils import get_functions_dir + file_path = os.path.join(get_functions_dir(), function_name + '.py') + code = None + if os.path.exists(file_path): + with open(file_path, 'r', encoding='utf-8') as f: + code = f.read() + task_description += f'\n# Function name: {function_name}' + code = code_fun(task_description, default_code=code) + with open(file_path, 'w', encoding='utf-8') as f: + f.write(code) + funcs, error = skills.load_functions_with_path(file_path) + funcs = [x for x in funcs if x.__name__ == function_name] + if len(funcs) <= 0: + print(error) + return error + else: + signature = skills.get_function_signature(funcs[0], 'skills') + skills._load_remote_funs() + print(signature) + return signature + +def delete_function(func_name:str) -> None: + """ + Delete a function by name + """ + import os + from GeneralAgent.utils import get_functions_dir + file_path = os.path.join(get_functions_dir(), func_name + '.py') + if os.path.exists(file_path): + os.remove(file_path) + +def create_application_icon(application_description:str) -> None: + """ + Create a application icon by application description. The application description is application_description + """ + import os + from GeneralAgent import skills + prompt = skills.ai_draw_prompt_gen("Create an application icon. The application's description is below: \n" + application_description) + image_url = skills.image_generation(prompt) + file_path = skills.try_download_file(image_url) + target_path = os.path.join(get_code_dir(), 'icon.jpg') + os.system(f"mv {file_path} {target_path}") + + +def edit_application_code(task_description:str) -> None: + """ + edit_application_code is an Agent. You just tell it what will be done and vailable functions, it will generate a python function to complete the task. + Edit agent code by task_description. task description should be a string and include the detail of task, and what functions can be used. + task_description example: "Create a image creation agent. Available functions:\n\nskills.image_generation(prompt) generate a image with prompt (in english), return a image url\n\nskills.translate_text(content, target_language)" + """ + import os + code_path = os.path.join(get_code_dir(), 'main.py') + old_code = None + if os.path.exists(code_path): + with open(code_path, 'r', encoding='utf-8') as f: + old_code = f.read() + from GeneralAgent import skills + code = _generate_agent_code(task_description, default_code=old_code) + with open(code_path, 'w', encoding='utf-8') as f: + f.write(code) + + +def delete_application(): + """ + Delete application code + """ + import os + code_path = os.path.join(get_code_dir(), 'main.py') + if os.path.exists(code_path): + os.remove(code_path) + + +def update_application_meta(application_id:str=None, application_name:str=None, description:str=None, upload_file:str=None) -> None: + """ + Update application meta data + application_id: application id, You should name it, example: translat_text, ai_draw + application_name: application name + description: application description + upload_file: 'yes' or 'no', when upload_file is 'yes', the application can upload file, when upload_file is 'no', the application can not upload file + """ + import os, json + bot_json_path = os.path.join(get_code_dir(), 'bot.json') + if os.path.exists(bot_json_path): + with open(bot_json_path, 'r', encoding='utf-8') as f: + app_json = json.loads(f.read()) + else: + app_json = {} + if application_id is not None: + from GeneralAgent import skills + bots = skills.load_applications() + if application_id in [x['id'] for x in bots]: + print(f'application_id ({application_id}) exists. ignore If you are just edit the exist application, or you should change the application_id') + app_json['id'] = application_id + if application_name is not None: + app_json['name'] = application_name + if description is not None: + app_json['description'] = description + if upload_file is not None: + app_json['upload_file'] = upload_file + if os.path.exists(os.path.join(get_code_dir(), 'icon.jpg')): + app_json['icon'] = 'icon.jpg' + else: + del app_json['icon'] + with open(bot_json_path, 'w', encoding='utf-8') as f: + f.write(json.dumps(app_json, indent=4)) + + +def install_application() -> None: + """ + Install application to chat bot + """ + # TODO: check function_id and application_name + import os, json + bot_json_path = os.path.join(get_code_dir(), 'bot.json') + if os.path.exists(bot_json_path): + with open(bot_json_path, 'r', encoding='utf-8') as f: + app_json = json.loads(f.read()) + else: + print('applicatoin meta not exists') + return + application_id = app_json['id'] + # move code to bot + from GeneralAgent.utils import get_applications_dir + target_dir = os.path.join(get_applications_dir(), application_id) + if os.path.exists(target_dir): + import shutil + shutil.rmtree(target_dir) + os.makedirs(target_dir) + # print(target_dir) + os.system(f"cp -r {get_code_dir()}/* {target_dir}") + + +def uninstall_application() -> None: + """ + Uninstall application from chat bot + """ + import os, json + bot_json_path = os.path.join(get_code_dir(), 'bot.json') + if os.path.exists(bot_json_path): + with open(bot_json_path, 'r', encoding='utf-8') as f: + app_json = json.loads(f.read()) + else: + print('applicatoin meta not exists') + return + application_id = app_json['id'] + # move code to bot + from GeneralAgent.utils import get_applications_dir + target_dir = os.path.join(get_applications_dir(), application_id) + if os.path.exists(target_dir): + import shutil + shutil.rmtree(target_dir) + + + +def _generate_function_code(task:str, default_code=None, search_functions=False): + """Return the python function code text that completes the task to be used by other function or application, when default_code is not None, update default_code by task""" + + """ + Return the python function code text that completes the task(a string) + task: 文字描述的任务 + default_code: 如果不为None，按task修改默认代码，否则按task生成代码 + return: 一个python代码字符串，主要包含了一个函数 + """ + # global skills + import os + from GeneralAgent import skills + python_version = skills.get_python_version() + requirements = skills.get_current_env_python_libs() + the_skills_can_use = skills._search_functions(task) if search_functions else '' + prompt = f""" +You are a python expert, write a function to complete user's task + +# Python Version +{python_version} + +# Python Libs installed +{requirements} + +# You can use skills lib(from GeneralAgent import skills), the function in the lib are: +{the_skills_can_use} + + +# CONSTRAINTS: +- Do not import the lib that the function not use. +- Import the lib in the function, any import statement must be placed in the function +- docstring the function simplely +- Do not use other libraries +- In the code, Intermediate files are written directly to the current directory (./) +- Give the function a name that describle the task +- The docstring of the function should be as concise as possible without losing key information, only one line, and output in English +- The code should be as simple as possible and the operation complexity should be low + +# Demo: +```python +def translate(text:str, language:str) -> str: + \"\"\" + translate, return the translated text + Parameters: text -- user text, string + Returns: the translated text, string + \"\"\" + from GeneralAgent import skills + contents = text.split('.') + translated = [] + for x in contents: + prompt = "Translate the following text to " + language + "\n" + x + translated += [skills.llm_inference([{{'role': 'system', 'content': prompt}}]) + return '. '.join(translated) +``` + +Please think step by step carefully, consider any possible situation, and write a complete function. +Just reponse the python code, no any explain, no start with ```python, no end with ```, no any other text. +""" + messages = [{"role": "system", "content": prompt}] + if default_code is not None: + messages += [{"role": "system", "content": "user's code: " + default_code}] + messages += [{"role": "system", "content": f"user's task: {task}"}] + code = skills.llm_inference(messages, model_type='smart') + code = skills.get_python_code(code) + return code + + +def application_code_generation(task, default_code=None): + """Return the python code text that completes the task to build a chat bot, when default_code is not None, update default_code by task""" + from GeneralAgent import skills + python_version = skills.get_python_version() + requirements = skills.get_current_env_python_libs() + the_skills_can_use = skills._search_functions(task) + + prompt = f""" +You are a python expert, write a python function to complete user's task. +The function in code will be used to create a chat bot, like slack, discord. + +# Function signature +``` +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + # chat_history is a list of dict, like [{{"role": "user", "content": "hello"}}, {{"role": "system", "content": "hi"}}] + # input is a string, user's input + # file_path is a string, user's file path + # output_callback is a async function, output_callback(content: str) -> None + # file_callback is a async function, file_callback(file_path: str) -> None + # ui_callback is a async function, ui_callback(name:str, js_path:str, data={{}}) -> None +``` + +# Python Version: {python_version} + +# Python Libs installed +{requirements} + +# You can use skills lib(from GeneralAgent import skills), the function in the lib are: +{the_skills_can_use} + +# CONSTRAINTS: +- Do not import the lib that the function not use. +- Import the lib in the function +- In the code, Intermediate files are written directly to the current directory (./) +- Give the function a name that describe the task +- The docstring of the function should be as concise as possible without losing key information, only one line, and output in English + +# DEMO 1 : Chat with A large language model +```python +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + chat_history = skills.cut_messages(chat_history, 4000) + messages = [{{"role": "system", "content": "You are a helpful assistant."}}] + chat_history + response = skills.llm_inference(messages, stream=True) + for token in response: + await output_callback(token) + await output_callback(None) +``` + +# DEMO 2 : Create a image by user's prompt +```python +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + prompt = input + if not skills.text_is_english(prompt): + prompt = skills.translate_text(prompt, 'english') + image_url = skills.image_generation(prompt) + await file_callback(image_url) +``` + +Please think step by step carefully, consider any possible situation, and write a complete code like DEMO +Just reponse the python code, no any explain, no start with ```python, no end with ```, no any other text. +""" + + messages = [{"role": "system", "content": prompt}] + if default_code is not None: + messages += [{"role": "system", "content": "user's code: " + default_code}] + messages += [{"role": "system", "content": f"user's task: {task}"}] + code = skills.llm_inference(messages, model_type='smart') + code = skills.get_python_code(code) + return code + + +def _generate_agent_code(task_description, default_code=None): + """Return the python code text that completes the task to build a chat bot, when default_code is not None, update default_code by task""" + from GeneralAgent import skills + python_version = skills.get_python_version() + requirements = skills.get_current_env_python_libs() + prompt = f""" +You are a python expert, write a python function to complete user's task. +The function in code will be used to create a chat bot, like slack, discord. + +# Function signature +``` +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + # chat_history is a list of dict, like [{{"role": "user", "content": "hello"}}, {{"role": "system", "content": "hi"}}] + # input is a string, user's input + # file_path is a string, user's file path + # output_callback is a async function, output_callback(content: str) -> None + # file_callback is a async function, file_callback(file_path: str) -> None + # ui_callback is a async function, ui_callback(name:str, js_path:str, data={{}}) -> None +``` + +# Python Version: {python_version} + +# Python Libs installed +{requirements} + +# CONSTRAINTS: +- Do not import the lib that the function not use. +- Import the lib in the function +- In the code, Intermediate files are written directly to the current directory (./) +- Give the function a name that describe the task +- The docstring of the function should be as concise as possible without losing key information, only one line, and output in English +- Every created file should have a unique name, which can be generated by skills.unique_name() + +# DEMO 1 : write user's input to a file and return +```python +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + +``` + +# DEMO 2 : Agent with functions +```python +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent.agent import Agent + role_prompt = \"\"\" +You are a translation agent. +You complete user requirements by writing python code to call the predefined functions. +\"\"\" + functions = [ + skills.translate_text + ] + agent = Agent.with_functions(functions, role_prompt) + await agent.run(input, output_callback=output_callback) +```python + +# There are two function types: +1. Application: like DEMO1, The application process is fixed and less flexible, but the function will be more stable +2. Agent: like DEMO2, Agent is a chat bot that can use functions to complete user's task. The agent will automatic handle user's input and output +You can choose one of them to complete the task. + +Please think step by step carefully, consider any possible situation, and write a complete code like DEMO +Just reponse the python code, no any explain, no start with ```python, no end with ```, no any other text. +""" + + messages = [{"role": "system", "content": prompt}] + if default_code is not None: + messages += [{"role": "system", "content": "user's code: " + default_code}] + messages += [{"role": "system", "content": f"user's task: {task_description}"}] + code = skills.llm_inference(messages, model_type='smart') + code = skills.get_python_code(code) + return code + + +def _generate_llm_task_function(task_description, default_code=None): + """ + This function generates a Python function to perform a specific task using a large language model (LLM), such as translation, planning, answering general knowledge questions. + + Parameters: + task_description (str): A description of the task that the generated function should perform. + + Returns: + str: The generated Python function code as a string. + """ + import os + from GeneralAgent import skills + python_version = skills.get_python_version() + requirements = skills.get_current_env_python_libs() + the_skills_can_use = skills._search_functions(task_description) if search_functions else '' + prompt = f""" +You are a python expert, write a function to complete user's task + +# Python Version +{python_version} + +# Python Libs installed +{requirements} + +# You can use skills lib(from GeneralAgent import skills), the function in the lib are: + +def skills.simple_llm_inference(messages, json_schema): + Run LLM (large language model) inference on the provided messages, The total number of tokens in the messages and the returned string must be less than 8000. + @param messages: Input messages for the model, like [{{'role': 'system', 'content': 'You are a helpful assistant'}}, {{'role': 'user', 'content': 'translate blow to english:\nxxxx'}}] + @param json_schema: the json schema of return dictionary, like {{"type": "object", "properties": {{"name": {{"type": "string"}}, "age": {{"type": "integer" }} }} }} + @return returned as a dictionary According to the provided JSON schema. + +{the_skills_can_use} + +# CONSTRAINTS: +- Do not import the lib that the function not use. +- Import the lib in the function, any import statement must be placed in the function +- docstring the function simplely +- Do not use other libraries +- In the code, Intermediate files are written directly to the current directory (./) +- Give the function a name that describle the task +- The docstring of the function should be as concise as possible without losing key information, only one line, and output in English +- The code should be as simple as possible and the operation complexity should be low +- Every created file should have a unique name, which can be generated by skills.unique_name() + +# Demo: +```python +def translate(text:str, language:str) -> str: + \"\"\" + translate, return the translated text + Parameters: text -- user text, string + Returns: the translated text, string + \"\"\" + from GeneralAgent import skills + contents = text.split('.') + translated = [] + for x in contents: + prompt = "Translate the following text to " + language + "\n" + x + translated += [skills.llm_inference([{{'role': 'system', 'content': prompt}}]) + return '. '.join(translated) +``` + +Please think step by step carefully, consider any possible situation, and write a complete function. +Just reponse the python code, no any explain, no start with ```python, no end with ```, no any other text. +""" + messages = [{"role": "system", "content": prompt}] + if default_code is not None: + messages += [{"role": "system", "content": "user's code: " + default_code}] + messages += [{"role": "system", "content": f"user's task: {task_description}"}] + code = skills.llm_inference(messages, model_type='smart') + code = skills.get_python_code(code) + return code + +# from GeneralAgent import skills +# from jinja2 import Template +# prompt_template = """ +# 你是一个python专家。 + + +# Your job is to have a large language model (LLM) perform specific tasks, such as translation, planning, answering general knowledge questions, etc. +# Your job is to have a large language model (LLM) perform specific tasks, such as translation, planning, answering general knowledge questions, etc. +# Large language model calling function: + +# ```python +# def xxx(xxx): +# \"\"\" +# xxx +# \"\"\" +# from GeneralAgent import skills +# # skills.simple_llm_inference +# ``` + +# # Task + +# {{task}} + +# # Note: + +# - All imports should be placed inside the function. +# - While creating your function, consider the all edge cases. +# - Do not use any other libraries except simple_llm_inference and installed libraries. +# - The simple_llm_inference function requires that the input messages are less than 8000, and the output length is less than 8000. - +# - When the task cannot be completed through one simple_llm_inference, you should consider task disassembly. +# """ +# prompt = Template(prompt_template).render({'task': task_description}) +# if default_code is not None: +# prompt += '\n' + 'user\'s code: ' + default_code + '\nUpdate the code to complete the task' +# result = skills.llm_inference([{'role': 'system', 'content': prompt}, {'role': 'user', 'content': 'You are a python expert.'}, {'role': 'user', 'content': prompt}], model_type="smart") +# code = skills.get_python_code(result) +# return code + + +# def create_function(func_name:str, task_description:str): +# """ +# create a function by task description. Where task_description can include functions in GeneralAgent.skills +# """ +# # from GeneralAgent import skills +# import os +# code = _generate_function_code(task_description) +# file_path = os.path.join(get_code_dir(), func_name + '.py') +# with open(file_path, 'w', encoding='utf-8') as f: +# f.write(code) + +# def delete_function(func_name:str) -> None: +# """ +# Delete a function by name +# """ +# import os +# file_path = os.path.join(get_code_dir(), func_name + '.py') +# if os.path.exists(file_path): +# os.remove(file_path) + +# def list_functions() -> [str]: +# """ +# list all function names +# """ +# # TODO function description +# import os +# files = os.listdir(get_code_dir()) +# functions = [x.split('.')[0] for x in files] +# return functions + +# def show_function(func_name:str) -> str: +# """ +# Show a function code by name +# """ +# import os +# file_path = os.path.join(get_code_dir(), func_name + '.py') +# if os.path.exists(file_path): +# with open(file_path, 'r', encoding='utf-8') as f: +# code = f.read() +# return code +# else: +# return None + + +# def create_application(task_description:str) -> None: +# """ +# Create a application by task_description description. The application name is application_name, the task_description is task_description(string) +# """ +# import os +# from GeneralAgent import skills +# # code = application_code_generation(task_description) +# code = _generate_agent_code(task_description) +# code_path = os.path.join(get_code_dir(), 'main.py') +# with open(code_path, 'w', encoding='utf-8') as f: +# f.write(code) \ No newline at end of file diff --git a/GeneralAgent/skills/applications.py b/GeneralAgent/skills/applications.py new file mode 100644 index 0000000000000000000000000000000000000000..58b30ea03792344793017e327e9994285245ee25 --- /dev/null +++ b/GeneralAgent/skills/applications.py @@ -0,0 +1,85 @@ + +def load_applications(): + """ + load all applications(bots) metadata + """ + from GeneralAgent.utils import get_applications_dir + local_bots = _load_bots(_get_local_applications_dir()) + remote_bots= _load_bots(get_applications_dir()) + for bot in remote_bots: + bot['nickname'] = '# ' + bot['nickname'] + return local_bots + remote_bots + + +def _get_local_applications_dir(): + from GeneralAgent.utils import get_local_applications_dir + return get_local_applications_dir() + + +def _load_bots(code_dir): + import os, json + result = [] + for bot_name in os.listdir(code_dir): + bot_dir = os.path.join(code_dir, bot_name) + if os.path.isdir(bot_dir): + result.append(_load_bot_metadata(bot_dir)) + return result + + +def _load_bot_metadata(bot_dir): + import os, json + bot_json_path = os.path.join(bot_dir, 'bot.json') + if os.path.exists(bot_json_path): + with open(bot_json_path, 'r', encoding='utf-8') as f: + bot_json = json.load(f) + if 'icon' in bot_json: + bot_json['icon_url'] = os.path.join(bot_dir, bot_json['icon']) + if 'js_path' in bot_json: + bot_json['js_path'] = os.path.join(bot_dir, bot_json['js_path']) + bot_json['nickname'] = bot_json['name'] + return bot_json + return None + + +def load_bot_metadata_by_id(bot_id): + """ + load bot metadata by bot id + """ + import os + local_dir = _get_local_applications_dir() + from GeneralAgent.utils import get_applications_dir + remote_dir = get_applications_dir() + bot_dir = os.path.join(local_dir, bot_id) + if not os.path.exists(bot_dir): + bot_dir = os.path.join(remote_dir, bot_id) + return _load_bot_metadata(bot_dir) + + +def get_application_module(bot_id): + """ + get application module by bot id + """ + import os + from GeneralAgent.utils import get_applications_dir + local_dir = _get_local_applications_dir() + remote_dir = get_applications_dir() + code_path = os.path.join(local_dir, f"{bot_id}/main.py") + if not os.path.exists(code_path): + code_path = os.path.join(remote_dir, f"{bot_id}/main.py") + return _load_application(code_path) + + +def _load_application(code_path): + """ + load application with code path + """ + import os, importlib.util, logging + application = None + try: + spec = importlib.util.spec_from_file_location("main", code_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + application = module + except Exception as e: + logging.exception(e) + return application \ No newline at end of file diff --git a/GeneralAgent/skills/build_web.py b/GeneralAgent/skills/build_web.py new file mode 100644 index 0000000000000000000000000000000000000000..180d07fea3c5aa3ac34b98fe8e9ae4526a0de77c --- /dev/null +++ b/GeneralAgent/skills/build_web.py @@ -0,0 +1,149 @@ +from ast import Tuple +import os + +def compile_tsx(lib_name:str, code:str, target_dir:str): + """ + Compile tsx code into a UI library. + @lib_name: the name of the UI library + @code: the tsx code + @target_dir: the directory to save the UI library + """ + # 目标目录不存在就创建 + if os.path.exists(target_dir): + import shutil + shutil.rmtree(target_dir) + os.makedirs(target_dir) + + from GeneralAgent.utils import get_tsx_builder_dir + ts_builder_dir = get_tsx_builder_dir() + + code_path = os.path.join(ts_builder_dir, 'src/lib/index.tsx') + with open(code_path, 'w', encoding='utf-8') as f: + f.write(code) + # 写入lib名称 + webpack_template_path = os.path.join(ts_builder_dir, 'webpack.config.template.js') + webpack_template = '' + with open(webpack_template_path, 'r', encoding='utf-8') as f: + webpack_template = f.read() + webpack_template = webpack_template.replace('LibTemplate', lib_name) + webpack_path = os.path.join(ts_builder_dir, 'webpack.config.js') + with open(webpack_path, 'w', encoding='utf-8') as f: + f.write(webpack_template) + # 获取编译的标准输出 + output = os.popen(f"cd {ts_builder_dir} && npm run build").read() + if 'successfully' not in output: + print(output) + return False + # 将编译后的文件移动到目标目录 + os.system(f"mv {ts_builder_dir}/build/* {target_dir}") + return True + + +def _llm_write_ui_lib(lib_name, task): + from GeneralAgent import skills + prompt_template = """ +You are a React and Typescript expert. + +# Task +Create a React function component named LibTemplate in tsx language. +The component should have the following functionality: +{{task}} + +# Import +Use the following import syntax: +``` +const React = (window as any).React; +const antd = (window as any).antd; +``` +No other import methods are allowed. + +# DEMO + +```tsx +const React = (window as any).React; +const antd = (window as any).antd; + +const [Form, Input, Button] = [antd.Form, antd.Input, antd.Button]; + +const LibTemplate = ({save_data}: {save_data: (data:any)=>void}) => { + // use save_data to save the data +} + +export default LibTemplate; +``` + +Please reponse the component code which finish the task without any explaination. +""" + + from jinja2 import Template + prompt = Template(prompt_template).render(task=task) + messages = [{'role': 'system', 'content': prompt}] + response = skills.llm_inference(messages, model_type="normal", stream=True) + result = '' + for token in response: + # print(token, end='', flush=True) + result += token + result = result.replace('LibTemplate', lib_name) + return result + + +def extract_tsx_code(content): + """ + Extract tsx code from markdown content. + """ + import re + # 兼容tsx和ts + pattern = re.compile(r'```tsx?\n([\s\S]*)\n```') + match = pattern.search(content) + if match: + return match.group(1) + else: + return content + +# def create_ui(task: str, ui_dir: str = './ui', component_name: str = None) -> (str, str): +# """ +# Convert task into UI components. Return (component_name, js_path) tuple. +# """ +def create_ui(task: str, ui_dir: str = './ui', component_name: str = None) -> (str, str): + """ + Convert a given task description into UI components. + + Args: + task: A string representing the task description with all the necessary details. + + Returns: + A tuple containing the name of the UI component and the path to the JavaScript file. + + Example: + create_ui('A task description with all the necessary details') + """ + import uuid + import os + lib_name = component_name + if lib_name is None: + lib_name = 'Lib' + str(uuid.uuid1())[:4] + if not os.path.exists(ui_dir): + os.makedirs(ui_dir) + target_dir = os.path.join(ui_dir, lib_name) + for _ in range(2): + content = _llm_write_ui_lib(lib_name, task) + code = extract_tsx_code(content) + success = compile_tsx(lib_name, code, target_dir) + if success: + return lib_name, os.path.join(target_dir, 'index.js') + return None + +def parse_tsx_to_ui(code, save_dir=None): + import uuid + lib_name = 'Lib' + str(uuid.uuid1())[:4] + if save_dir is None: + from GeneralAgent import skills + save_dir = skills.get_code_dir() + if not os.path.exists(save_dir): + os.makedirs(save_dir) + target_dir = os.path.join(save_dir, lib_name) + success = compile_tsx(lib_name, code, target_dir) + if success: + return lib_name, os.path.join(target_dir, 'index.js') + else: + return None \ No newline at end of file diff --git a/GeneralAgent/skills/concatenate_videos/concatenate_videos.py b/GeneralAgent/skills/concatenate_videos/concatenate_videos.py new file mode 100644 index 0000000000000000000000000000000000000000..9c9a8726a9374d8d126559c0f4e16763f99a2afd --- /dev/null +++ b/GeneralAgent/skills/concatenate_videos/concatenate_videos.py @@ -0,0 +1,27 @@ + +def concatenate_videos(video_list: list) -> str: + """ + Concatenate a list of videos into one video. + @param video_list: A list of video file paths. + @return: The file path of the concatenated video. + """ + import uuid + from moviepy.editor import concatenate_videoclips, VideoFileClip + clips = [VideoFileClip(video) for video in video_list] + final_clip = concatenate_videoclips(clips) + output_path = f"{uuid.uuid4().hex}.mp4" # Generate a unique output file name + final_clip.write_videofile(output_path) + return output_path + +def test_concatenate_videos(): + """ + Test the concatenate_videos function. + """ + import os + file_path = os.path.join(os.path.dirname(__file__), "f63bfaae7b0e.mp4") + video_list = [file_path, file_path, file_path] # Use the provided video file for testing + output_path = concatenate_videos(video_list) + assert os.path.exists(output_path) + +if __name__ == '__main__': + test_concatenate_videos() \ No newline at end of file diff --git a/GeneralAgent/skills/concatenate_videos/f63bfaae7b0e.mp4 b/GeneralAgent/skills/concatenate_videos/f63bfaae7b0e.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..557a43f5df56ebb90d59c24c8daf4f77fc681113 Binary files /dev/null and b/GeneralAgent/skills/concatenate_videos/f63bfaae7b0e.mp4 differ diff --git a/GeneralAgent/skills/download_file.py b/GeneralAgent/skills/download_file.py new file mode 100644 index 0000000000000000000000000000000000000000..1f7eccf76dac6afd55fad7ad39bbfaa9d82fec9f --- /dev/null +++ b/GeneralAgent/skills/download_file.py @@ -0,0 +1,50 @@ + +def download_file(file_url, save_path): + """download file to save_path, return True if success, else False""" + """实现一个下载文件的函数，返回文件路径""" + import requests + import logging + try_count = 3 + while try_count > 0: + try: + response = requests.get(file_url) + with open(save_path, "wb") as f: + f.write(response.content) + # print("Success: 文件(%s)已下载至 %s" % (file_url, save_path)) + return True + except Exception as e: + # print("Error: 文件下载失败:", e) + logging.error(e) + import time + time.sleep(5) + try_count -= 1 + continue + return False + + +def try_download_file(file_path): + import os + from GeneralAgent import skills + from PIL import Image + """Try to download file if it is a url, else return file_path""" + if file_path.startswith("http://") or file_path.startswith("https://"): + save_path = skills.unique_name() + '.' + file_path.split('.')[-1] + success = skills.download_file(file_path, save_path) + if success: + if save_path.endswith('.png') or save_path.endswith('.PNG'): + # 转成jpg + png_image = Image.open(save_path) + jpg_save_path = skills.unique_name() + '.jpg' + png_image.save(jpg_save_path, 'JPEG') + os.remove(save_path) + return jpg_save_path + else: + return save_path + else: + return file_path + else: + return file_path + +if __name__ == '__main__': + # download_file('https://ai.tongtianta.site/file-upload/gvsAc4cEm543iaX5x/5.pdf', '1.pdf') + download_file('https://ai.tongtianta.site/file-upload/27XEb3WgyDru5eFFe/9.pdf', '3.pdf') \ No newline at end of file diff --git a/GeneralAgent/skills/file_operation.py b/GeneralAgent/skills/file_operation.py new file mode 100644 index 0000000000000000000000000000000000000000..74355187fe08a772cbb7cb26a7aac4636cc3a5ff --- /dev/null +++ b/GeneralAgent/skills/file_operation.py @@ -0,0 +1,51 @@ + +def read_pdf_pages(file_path): + """Read the pdf file and return a list of strings on each page of the pdf""" + """读取pdf文件，返回pdf每页字符串的列表""" + import fitz + doc = fitz.open(file_path) + documents = [] + for page in doc: + documents.append(page.get_text()) + return documents + +def read_word_pages(file_path): + """Read the word file and return a list of word paragraph strings""" + """读取word文件，返回word段落字符串的列表""" + # https://zhuanlan.zhihu.com/p/146363527 + from docx import Document + # 打开文档 + document = Document(file_path) + # 读取标题、段落、列表内容 + ps = [ paragraph.text for paragraph in document.paragraphs] + return ps + +def read_ppt(file_path): + import pptx + prs = pptx.Presentation(file_path) + documents = [] + for slide in prs.slides: + for shape in slide.shapes: + if hasattr(shape, "text"): + documents.append(shape.text) + return '\n'.join(documents) + + +def read_file_content(file_path): + """return content of txt, md, pdf, docx file""" + # 支持file_path的类型包括txt、md、pdf、docx + if file_path.endswith('.pdf'): + return ' '.join(read_pdf_pages(file_path)) + elif file_path.endswith('.docx'): + return ' '.join(read_word_pages(file_path)) + elif file_path.endswith('.ppt') or file_path.endswith('.pptx'): + return read_ppt(file_path) + else: + # 默认当做文本文件 + with open(file_path, 'r', encoding='utf-8') as f: + return '\n'.join(f.readlines()) + +def write_file_content(file_path, content): + """write content to txt, md""" + with open(file_path, 'w', encoding='utf-8') as f: + f.write(content) diff --git a/GeneralAgent/skills/llm_inference.py b/GeneralAgent/skills/llm_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..0e761d7ebd534d85cb4614c00b97943c77ce0675 --- /dev/null +++ b/GeneralAgent/skills/llm_inference.py @@ -0,0 +1,458 @@ +# from retrying import retry as _retry +# from tenacity import retry, stop_after_attempt, wait_fixed + +class TinyDBCache(): + def __init__(self): + from tinydb import TinyDB + import os, json + llm_path = os.environ.get('CACHE_PATH', None) + if llm_path is None: + from GeneralAgent.utils import get_server_dir + llm_path = os.path.join(get_server_dir(), 'cache.json') + self.db = TinyDB(llm_path) + + @property + def cache_llm(self): + import os + return os.environ.get('LLM_CACHE', 'no') in ['yes', 'y', 'YES'] + + @property + def cache_embedding(self): + import os + return os.environ.get('EMBEDDING_CACHE', 'no') in ['yes', 'y', 'YES'] + + def get(self, table, key): + from tinydb import Query + result = self.db.table(table).get(Query().key == key) + if result is not None: + return result['value'] + else: + return None + + def set(self, table, key, value): + from tinydb import Query + self.db.table(table).upsert({'key': key, 'value': value}, Query().key == key) + + def set_llm_cache(self, key, value): + if self.cache_llm: + self.set('llm', key, value) + + def get_llm_cache(self, key): + if self.cache_llm: + return self.get('llm', key) + + def set_embedding_cache(self, key, value): + if self.cache_embedding: + self.set('embedding', key, value) + + def get_embedding_cache(self, key): + if self.cache_embedding: + return self.get('embedding', key) + + +global_cache = TinyDBCache() + + +def embedding_single(text) -> [float]: + """ + embedding the text and return a embedding (list of float) for the string + """ + global global_cache + key = _md5(text) + embedding = global_cache.get_embedding_cache(key) + if embedding is not None: + # print('embedding cache hitted') + return embedding + texts = [text] + from litellm import embedding + resp = embedding(model = _get_embedding_model(), + input=texts + ) + result = [x['embedding'] for x in resp['data']] + embedding = result[0] + global_cache.set_embedding_cache(key, embedding) + return embedding + + +def test_embedding_single(): + size = None + from GeneralAgent.utils import EnvironmentVariableManager + with EnvironmentVariableManager('EMBEDDING_CACHE', 'no'): + for source_type in ['OPENAI', 'AZURE']: + with EnvironmentVariableManager('LLM_SOURCE', source_type): + result = embedding_single("Say this is a test") + # print(source_type, result) + if size is not None: + assert len(result) == size + size = len(result) + +def test_embedding_batch(): + size = None + from GeneralAgent.utils import EnvironmentVariableManager + with EnvironmentVariableManager('EMBEDDING_CACHE', 'no'): + for source_type in ['OPENAI', 'AZURE']: + with EnvironmentVariableManager('LLM_SOURCE', source_type): + result = embedding_batch(["Say this is a test"]) + if size is not None: + assert len(result[0]) == size + size = len(result[0]) + + +def embedding_batch(texts) -> [[float]]: + """ + embedding the texts(list of string), and return a list of embedding (list of float) for every string + """ + global global_cache + embeddings = {} + remain_texts = [] + for text in texts: + key = _md5(text) + embedding = global_cache.get_embedding_cache(key) + if embedding is not None: + embeddings[text] = embedding + else: + remain_texts.append(text) + if len(remain_texts) > 0: + result = _embedding_many(remain_texts) + for text, embedding in zip(remain_texts, result): + key = _md5(text) + global_cache.set_embedding_cache(key, embedding) + embeddings[text] = embedding + return [embeddings[text] for text in texts] + + +def _embedding_many(texts) -> [[float]]: + from litellm import embedding + # 每次最多embedding 16个 + max_batch_size = 16 + result = [] + for i in range(0, len(texts), max_batch_size): + resp = embedding(model=_get_embedding_model(),input=texts[i:i+max_batch_size]) + result += [x['embedding'] for x in resp['data']] + return result + + +def cos_sim(a, b): + import numpy as np + from numpy.linalg import norm + # This function calculates the cosine similarity (scalar value) between two input vectors 'a' and 'b' (1-D array object), and return the similarity. + a = a if isinstance(a, np.ndarray) else np.array(a) + b = b if isinstance(b, np.ndarray) else np.array(b) + return np.dot(a, b)/(norm(a)*norm(b)) + + +def search_similar_texts(focal:str, texts:[str], top_k=5): + """ + search the most similar texts in texts, and return the top_k similar texts + """ + embeddings = embedding_batch([focal] + texts) + focal_embedding = embeddings[0] + texts_embeddings = embeddings[1:] + import numpy as np + similarities = np.dot(texts_embeddings, focal_embedding) + sorted_indices = np.argsort(similarities) + sorted_indices = sorted_indices[::-1] + return [texts[i] for i in sorted_indices[:top_k]] + + +def _md5(obj): + import hashlib, json + if isinstance(obj, str): + return hashlib.md5(obj.encode('utf-8')).hexdigest() + else: + return hashlib.md5(json.dumps(obj).encode('utf-8')).hexdigest() + + +def _get_llm_model(messages, model_type): + import os + from GeneralAgent import skills + assert model_type in ['normal', 'smart', 'long'] + if model_type == 'normal' and skills.messages_token_count(messages) > 3000: + model_type = 'long' + api_type = os.environ.get('LLM_SOURCE', 'OPENAI') + model_key = f'{api_type}_LLM_MODEL_{model_type.upper()}' + model = os.environ.get(model_key, None) + if model is not None: + return model + model_key = f'{api_type}_LLM_MODEL_NORMAL' + return os.environ.get(model_key, 'gpt-3.5-turbo') + + +def get_llm_token_limit(model_type): + """ + return the token limit for the model + """ + import os + assert model_type in ['normal', 'smart', 'long'] + api_type = os.environ.get('LLM_SOURCE', 'OPENAI') + # OPENAI_LLM_MODEL_SMART_LIMIT + limit_key = f'{api_type}_LLM_MODEL_{model_type.upper()}_LIMIT' + limit = os.environ.get(limit_key, None) + if limit is not None: + return int(limit) + limit_key = f'{api_type}_LLM_MODEL_NORMAL_LIMIT' + return int(os.environ.get(limit_key, 4000)) + + +def test_get_llm_token_limit(): + from GeneralAgent.utils import EnvironmentVariableManager + with EnvironmentVariableManager('LLM_SOURCE', 'OPENAI'): + with EnvironmentVariableManager('OPENAI_LLM_MODEL_SMART_LIMIT', '8000'): + assert get_llm_token_limit('smart') == 8000 + + +def _get_embedding_model(): + import os + api_type = os.environ.get('LLM_SOURCE', 'OPENAI') + embedding_model = os.environ.get(f'{api_type}_EMBEDDING_MODEL', 'text-embedding-ada-002') + return embedding_model + +def _get_temperature(): + import os + temperature = float(os.environ.get('LLM_TEMPERATURE', 0.5)) + return temperature + + +def llm_inference(messages, model_type='normal', stream=False, json_schema=None): + """ + Run LLM (large language model) inference on the provided messages using the specified model. + + Parameters: + messages: Input messages for the model, like [{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'What is your name?'}] + model_type: Type of model to use. Options are 'normal', 'smart', 'long' + use_stream: Boolean indicating if the function should use streaming inference + json_format: Optional JSON schema string + + Returns: + If use_stream is True, returns a generator that yields the inference results as they become available. + If use_stream is False, returns a string containing the inference result. + If json_format is provided, the inference result is parsed according to the provided JSON schema and returned as a dictionary. + + Note: + The total number of tokens in the messages and the returned string must be less than 4000 when model_variant is 'normal', and less than 16000 when model_variant is 'long'. + """ + import logging + if stream: + return _llm_inference_with_stream(messages, model_type) + else: + if json_schema is None: + return _llm_inference_without_stream(messages, model_type) + else: + import json + if not isinstance(json_schema, str): + json_schema = json.dumps(json_schema) + messages[-1]['content'] += '\n' + return_json_prompt + json_schema + # messages += [{'role': 'user', 'content': return_json_prompt + json_schema}] + logging.debug(messages) + result = _llm_inference_without_stream(messages, model_type) + logging.debug(result) + return json.loads(fix_llm_json_str(result)) + + +def test_llm_inference(): + from GeneralAgent.utils import EnvironmentVariableManager + with EnvironmentVariableManager('LLM_CACHE', 'no'): + for source_type in ['OPENAI', 'AZURE']: + with EnvironmentVariableManager('LLM_SOURCE', source_type): + model_types = ['normal', 'smart', 'long'] + for model_type in model_types: + result = llm_inference([{"role": "user","content": "Say this is a test",}], model_type=model_type, stream=False) + print(source_type, model_type, result) + assert 'test' in result + result = '' + response = llm_inference([{"role": "user","content": "Say this is a test",}], model_type=model_type, stream=True) + for token in response: + result += token + print(source_type, model_type, result) + assert 'test' in result + + +def simple_llm_inference(messages, json_schema=None): + """ + Run LLM (large language model) inference on the provided messages + + Parameters: + messages: Input messages for the model, like [{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'What is your name?'}] + json_format: Optional JSON schema string + + Returns: + If json_format is provided, the inference result is parsed according to the provided JSON schema and returned as a dictionary. + Else return a string + + Note: + The total number of tokens in the messages and the returned string must be less than 16000. + """ + from GeneralAgent import skills + return skills.llm_inference(messages, json_schema=json_schema) + + +# @retry(stop=stop_after_attempt(3), wait=wait_fixed(3)) +async def async_llm_inference(messages, model_type='normal'): + from litellm import acompletion + import logging + global global_cache + logging.debug(messages) + key = _md5(messages) + result = global_cache.get_llm_cache(key) + if result is not None: + return result + model = _get_llm_model(messages, model_type) + temperature = _get_temperature() + try_count = 3 + while try_count > 0: + try: + response = await acompletion(model=model, messages=messages, temperature=temperature) + result = response['choices'][0]['message']['content'] + global_cache.set_llm_cache(key, result) + return result + except Exception as e: + try_count -= 1 + import asyncio + await asyncio.sleep(3) + if try_count == 0: + raise ValueError('LLM(Large Languate Model) error, Please check your key or base_url, or network') + return '' + + +# @retry(stop=stop_after_attempt(3), wait=wait_fixed(3)) +def _llm_inference_with_stream(messages, model_type='normal'): + """ + messages: llm messages, model_type: normal, smart, long + """ + from litellm import completion + import logging + # from GeneralAgent import skills + model = _get_llm_model(messages, model_type) + logging.debug(messages) + global global_cache + key = _md5(messages) + result = global_cache.get_llm_cache(key) + if result is not None: + # print('llm_inference cache hitted') + for x in result.split(' '): + yield x + ' ' + yield '\n' + # yield None + else: + temperature = _get_temperature() + try_count = 3 + while try_count > 0: + try: + response = completion(model=model, messages=messages, stream=True, temperature=temperature) + result = '' + for chunk in response: + # print(chunk) + if chunk['choices'][0]['finish_reason'] is None: + token = chunk['choices'][0]['delta']['content'] + if token is None: + continue + result += token + global_cache.set_llm_cache(key, result) + yield token + break + except Exception as e: + try_count -= 1 + import time + time.sleep(3) + if try_count == 0: + raise ValueError('LLM(Large Languate Model) error, Please check your key or base_url, or network') + # logging.info(result) + # yield None + +# if we choose to use local llm for inferce, we can use the following completion function. +#def compeltion(model,messages,temperature): +# pass + + +# @retry(stop=stop_after_attempt(3), wait=wait_fixed(3)) +def _llm_inference_without_stream(messages, model_type='normal'): + from litellm import completion + import logging + global global_cache + logging.debug(messages) + # print(messages) + key = _md5(messages) + result = global_cache.get_llm_cache(key) + if result is not None: + return result + model = _get_llm_model(messages, model_type) + temperature = _get_temperature() + try_count = 3 + while try_count > 0: + try: + response = completion(model=model, messages=messages, temperature=temperature) + result = response['choices'][0]['message']['content'] + global_cache.set_llm_cache(key, result) + return result + except Exception as e: + try_count -= 1 + import time + time.sleep(3) + if try_count == 0: + raise ValueError('LLM(Large Languate Model) error, Please check your key or base_url, or network') + return '' + + +def fix_llm_json_str(string): + import json + import re + new_string = string.strip() + if new_string.startswith('```json'): + new_string = new_string[7:] + if new_string.endswith('```'): + new_string = new_string[:-3] + try: + json.loads(new_string) + return new_string + except Exception as e: + print("fix_llm_json_str failed 1:", e) + try: + pattern = r'```json(.*?)```' + match = re.findall(pattern, new_string, re.DOTALL) + if match: + new_string = match[-1] + + json.loads(new_string) + return new_string + except Exception as e: + print("fix_llm_json_str failed 2:", e) + try: + new_string = new_string.replace("\n", "\\n") + json.loads(new_string) + return new_string + except Exception as e: + print("fix_llm_json_str failed 3:", e) + + messages = [{ + "role": "system", + "content": """Do not change the specific content, fix the json, directly return the repaired JSON, without any explanation and dialogue. + ``` + """+new_string+""" + ```""" + }] + + message = llm_inference(messages) + pattern = r'```json(.*?)```' + match = re.findall(pattern, message, re.DOTALL) + if match: + return match[-1] + + return message + +return_json_prompt = """\n\nYou should only directly respond in JSON format without explian as described below, that must be parsed by Python json.loads. +Response JSON schema: \n""" + + +# def prompt_call(prompt_template, variables, json_schema=None): +# from jinja2 import Template +# import json +# prompt = Template(prompt_template).render(**variables) +# if json_schema is not None: +# prompt += return_json_prompt + json_schema +# result = llm_inference([{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'system', 'content': prompt}], model_type='smart') +# return json.loads(fix_llm_json_str(result)) +# else: +# result = llm_inference([{'role': 'system', 'content': prompt}], model_type='smart') + +if __name__ == '__main__': + test_embedding_single() \ No newline at end of file diff --git a/GeneralAgent/skills/memory_utils.py b/GeneralAgent/skills/memory_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..efea52e868f27c6eb4e969b92c769eab3254fcac --- /dev/null +++ b/GeneralAgent/skills/memory_utils.py @@ -0,0 +1,153 @@ + + +def _parse_segment_llm_result(text): + import logging + lines = text.strip().split('\n') + key = None + nodes = {} + # print(lines) + for line in lines: + # print(line) + line = line.strip() + if len(line) == 0: + continue + if line.startswith('<<') and line.endswith('>>'): + key = line[2:-2] + else: + if key is None: + logging.warning(f'key is None, line: {line}') + continue + blocks = line.split(':') + if len(blocks) >= 2: + start = int(blocks[0]) + end = int(blocks[1]) + nodes[key] = (start, end) + return nodes + + +async def segment_text(text): + """ + 将文本进行语义分段，返回分段后的文本和key组成的字典nodes + """ + from GeneralAgent import skills + from jinja2 import Template + segment_prompt = """ +--------- +{{text}} +--------- + +For the text enclosed by ---------, the number following # is the line number. +Your task is to divide the text into segments (up to 6), each represented by the start and end line numbers. Additionally, assign a brief title (not exceeding 10 words) to each segment. +The output format is as follows: +``` +<> +Start_line: End_line + +<<Title for Segment>> +Start_line: End_line +``` +For instance: +``` +<<Hello>> +0:12 + +<<World>> +13:20 +``` +Please note, each title should not exceed 10 words. Titles exceeding this limit will be considered invalid. Strive to keep your titles concise yet reflective of the main content in the segment. +""" + lines = text.strip().split('\n') + new_lines = [] + for index in range(len(lines)): + new_lines.append(f'#{index} {lines[index]}') + new_text = '\n'.join(new_lines) + prompt = Template(segment_prompt).render({'text': new_text}) + messages = [ + {'role': 'system','content': 'You are a helpful assistant'}, + {'role': 'user','content': prompt} + ] + model_type='normal' + if skills.messages_token_count(messages) > 3500: + model_type = 'long' + result = await skills.async_llm_inference(messages, model_type) + # print(result) + nodes = _parse_segment_llm_result(result) + for key in nodes: + start, end = nodes[key] + nodes[key] = '\n'.join(lines[start:end]) + return nodes + + +async def summarize_text(text): + from GeneralAgent import skills + prompt = "Please distill the content between --------- into a concise phrase or sentence that captures the essence without any introductory phrases." + # prompt = "请将---------之间的内容提炼成一个简洁的短语或句子，抓住要点，无需任何介绍性短语。" + messages = [ + {'role': 'system','content': 'You are a helpful assistant'}, + {'role': 'user','content': f'{prompt}.\n---------\n{text}\n---------'} + ] + result = await skills.async_llm_inference(messages) + return result + +async def extract_info(background, task): + prompt_template = """ +Background (line number is indicated by #number, and <<title>> is a link to the details): +--------- +{{background}} +--------- + +Task +--------- +{{task}} +--------- + +Please provide the line numbers in the background that contain information relevant to solving the task. +Then, provide the <<titles>> that provide further details related to the background information. +The expected output format is as follows: +``` +#Line Number 1 +#Line Number 2 +... +<<title 1>> +<<title 2>> +... +``` +If no relevant information is found, please output "[Nothing]". +``` +[Nothing] +``` +""" + + from GeneralAgent import skills + from jinja2 import Template + prompt = Template(prompt_template).render({'background': background, 'task': task}) + messages = [ + {'role': 'system','content': 'You are a helpful assistant'}, + {'role': 'user','content': prompt} + ] + result = await skills.async_llm_inference(messages) + return result + + +def parse_extract_info(text): + import re + numbers = re.findall(r'#(\d+)', text) + numbers = [int(x) for x in numbers] + titles = re.findall(r'<<([^>>]+)>>', text) + return numbers, titles + + +def extract_title(text): + """ + extract title from text + """ + if len(text) > 500: + text = text[:500] + prompt = "Please distill the content between --------- into a concise title of the content, less than five words.\n---------\n" + text + "\n---------" + from GeneralAgent import skills + messages = [ + {'role': 'system','content': 'You are a helpful assistant'}, + {'role': 'user','content': prompt} + ] + result = skills.llm_inference(messages) + return result \ No newline at end of file diff --git a/GeneralAgent/skills/merge_video_audio/merge_video_audio.py b/GeneralAgent/skills/merge_video_audio/merge_video_audio.py new file mode 100644 index 0000000000000000000000000000000000000000..78c49c84c22dab5e22f1f6e58f4aa35609ebfcb7 --- /dev/null +++ b/GeneralAgent/skills/merge_video_audio/merge_video_audio.py @@ -0,0 +1,67 @@ +def merge_video_audio(video_path:str, narration_path:str=None, music_path:str=None) -> str: + """ + Merge video, narration, and background music into a final video based on the shortest length among all elements. + Parameters: video_path -- path of the video file, string + narration_path -- path of the narration audio file, string, can be None + music_path -- path of the background music file, string, can be None + Returns: the path of the final video file, string + """ + from moviepy.editor import VideoFileClip, AudioFileClip, CompositeAudioClip + + # Load video file + video = VideoFileClip(video_path) + + # Load audio files if they exist + audio_clips = [] + durations = [video.duration] + if narration_path is not None: + narration = AudioFileClip(narration_path) + audio_clips.append(narration) + durations.append(narration.duration) + if music_path is not None: + music = AudioFileClip(music_path) + audio_clips.append(music) + durations.append(music.duration) + + # Determine base length + base_length = min(durations) + + # Adjust lengths of elements + audio_clips = [clip.subclip(0, base_length) for clip in audio_clips] + + # Merge audio files + if len(audio_clips) == 1: + final_audio = audio_clips[0] + elif audio_clips: + final_audio = CompositeAudioClip(audio_clips) + else: + final_audio = None + + # Set audio of video file to final audio + final_video = video.subclip(0, base_length) + if final_audio is not None: + final_video = final_video.set_audio(final_audio) + + # Save final video file + from GeneralAgent import skills + final_video_path = skills.unique_name() + ".mp4" + final_video.write_videofile(final_video_path) + + return final_video_path + + +def test_merge_video_audio(): + """ + Test merge_video_audio function + """ + import os + video_path = os.path.join(os.path.dirname(__file__), "video.mp4") + narration_path = os.path.join(os.path.dirname(__file__), "narration.mp3") + music_path = os.path.join(os.path.dirname(__file__), "music.wav") + final_video_path = merge_video_audio(video_path, narration_path, music_path) + assert os.path.exists(final_video_path) + os.remove(final_video_path) + # os.remove("./final_audio.mp3") + +if __name__ == '__main__': + test_merge_video_audio() \ No newline at end of file diff --git a/GeneralAgent/skills/merge_video_audio/music.wav b/GeneralAgent/skills/merge_video_audio/music.wav new file mode 100644 index 0000000000000000000000000000000000000000..7eabb585898a37641596ef12ad6a43662b63aaed --- /dev/null +++ b/GeneralAgent/skills/merge_video_audio/music.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:27e302b1c36a4feb0a89f31f1cc7981d20356305396edf08fada7c36d57ed3a7 +size 3840078 diff --git a/GeneralAgent/skills/merge_video_audio/narration.mp3 b/GeneralAgent/skills/merge_video_audio/narration.mp3 new file mode 100644 index 0000000000000000000000000000000000000000..877f47dc967f0facbfd72993010b4cf7eca4a9b4 Binary files /dev/null and b/GeneralAgent/skills/merge_video_audio/narration.mp3 differ diff --git a/GeneralAgent/skills/merge_video_audio/tmp_audio.mp3 b/GeneralAgent/skills/merge_video_audio/tmp_audio.mp3 new file mode 100644 index 0000000000000000000000000000000000000000..12c0ae71e81c845d44484e391083a93992d34574 Binary files /dev/null and b/GeneralAgent/skills/merge_video_audio/tmp_audio.mp3 differ diff --git a/GeneralAgent/skills/merge_video_audio/video.mp4 b/GeneralAgent/skills/merge_video_audio/video.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..4627e3bab992691f149a38876534ee05023e4e21 Binary files /dev/null and b/GeneralAgent/skills/merge_video_audio/video.mp4 differ diff --git a/GeneralAgent/skills/musicgen/generate_music.py b/GeneralAgent/skills/musicgen/generate_music.py new file mode 100644 index 0000000000000000000000000000000000000000..398e36cbdf3a939ca2ddc6ebbeaf92582bbd7ea6 --- /dev/null +++ b/GeneralAgent/skills/musicgen/generate_music.py @@ -0,0 +1,32 @@ +def generate_music(prompt: str, model_version: str = 'stereo-melody-large', duration: int = 8, output_format: str = 'wav') -> str: + """ + Generate music according to the prompt and return the music file path. prompt should be english. + @param prompt: A description of the music you want to generate. + @param model_version: Model to use for generation. Default is 'stereo-melody-large'. + @param duration: Duration of the generated audio in seconds. Default is 8. + @param output_format: Output format for generated audio. Default is 'wav'. + """ + import replicate + from GeneralAgent import skills + + output = replicate.run( + "meta/musicgen:7be0f12c54a8d033a0fbd14418c9af98962da9a86f5ff7811f9b3423a1f0b7d7", + input={ + "model_version": model_version, + "prompt": prompt, + "duration": duration, + "output_format": output_format + } + ) + music_url = output + music_path = skills.try_download_file(music_url) + print(f'Music created at {music_path}') + return music_path + +def test_generate_music(): + import os + music_path = generate_music('Happy birthday song', 'stereo-melody-large', 10, 'mp3') + assert os.path.exists(music_path), "Music file does not exist." + +if __name__ == '__main__': + test_generate_music() \ No newline at end of file diff --git a/GeneralAgent/skills/python_envs.py b/GeneralAgent/skills/python_envs.py new file mode 100644 index 0000000000000000000000000000000000000000..6ecfb3a12efd339ab973bf7ef51c66fdbc3c9486 --- /dev/null +++ b/GeneralAgent/skills/python_envs.py @@ -0,0 +1,130 @@ + +def get_current_env_python_libs() -> str: + """ + Return the python libs that installed in current env + """ + import os + requirements_path = os.path.join(os.path.dirname(__file__), '../requirements.txt') + with open(requirements_path, 'r', encoding='utf-8') as f: + requirements = f.read() + requirements = requirements.replace('\n', ' ') + return requirements.strip() + + +def get_python_version() -> str: + """ + Return the python version, like "3.9.12" + """ + import platform + python_version = platform.python_version() + return python_version + +def get_os_version() -> str: + import platform + system = platform.system() + if system == 'Windows': + version = platform.version() + return f"Windows version: {version}" + elif system == 'Darwin': + version = platform.mac_ver()[0] + return f"macOS version: {version}" + elif system == 'Linux': + version = platform.platform() + return f"Linux version: {version}" + else: + return "Unknown system" + +def get_python_code(content:str) -> str: + """ + Return the python code text from content + """ + template = '```python\n(.*?)\n```' + import re + code = re.findall(template, content, re.S) + if len(code) > 0: + return code[0] + else: + return content + +def test_get_python_code(): + content = """ +```python +import os +print(os.getcwd()) +``` +""" + assert get_python_code(content) == 'import os\nprint(os.getcwd())' + + +def load_functions_with_path(python_code_path): + try: + import importlib.util + import inspect + + # 指定要加载的文件路径和文件名 + module_name = 'skills' + module_file = python_code_path + + # 使用importlib加载文件 + spec = importlib.util.spec_from_file_location(module_name, module_file) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + # 获取文件中的所有函数 + functions = inspect.getmembers(module, inspect.isfunction) + + # 过滤functions中以下划线开头的函数 + functions = filter(lambda f: not f[0].startswith('_'), functions) + + return [f[1] for f in functions], None + except Exception as e: + # 代码可能有错误，加载不起来 + import logging + logging.exception(e) + return [], str(e) + +def get_function_signature(func, module:str=None): + """Returns a description string of function""" + import inspect + sig = inspect.signature(func) + sig_str = str(sig) + desc = f"{func.__name__}{sig_str}" + if func.__doc__: + desc += ': ' + func.__doc__.strip() + if module is not None: + desc = f'{module}.{desc}' + if inspect.iscoroutinefunction(func): + desc = "async " + desc + return desc + + +def python_line_is_variable_expression(line): + """ + Return True if line is a variable expression, else False + """ + import ast + try: + tree = ast.parse(line) + except SyntaxError: + return False + + if len(tree.body) != 1 or not isinstance(tree.body[0], ast.Expr): + return False + + expr = tree.body[0].value + if isinstance(expr, ast.Call): + return False + + return True + + +def test_python_line_is_variable_expression(): + assert python_line_is_variable_expression('a') + assert python_line_is_variable_expression('a, b') + assert python_line_is_variable_expression('a + b') + assert python_line_is_variable_expression('vars[0]') + assert python_line_is_variable_expression('scrape_web("https://www.baidu.com")[0]') + + assert python_line_is_variable_expression(' vars[0]') is False + assert python_line_is_variable_expression('print(a)') is False + assert python_line_is_variable_expression('x = a + b') is False \ No newline at end of file diff --git a/GeneralAgent/skills/replicate_api.py b/GeneralAgent/skills/replicate_api.py new file mode 100644 index 0000000000000000000000000000000000000000..668924b2d592012f79ad6613c1aea84fe5e3170d --- /dev/null +++ b/GeneralAgent/skills/replicate_api.py @@ -0,0 +1,75 @@ +# replicate api + +def _replicate_image_generation(prompt): + """generate a image with prompt (in english), return a image url""" + + # import replicate + # output = replicate.run( + # "cjwbw/taiyi-stable-diffusion-1b-chinese-v0.1:36c580142e9fbbd52e5e678e30541c0da6f2021c9d2039a5c00be192a010e8c5", + # input={"prompt": prompt} + # ) + # print(output) + + # 图片生成切换成为sdxl的version 1 版本 + import replicate + + output = replicate.run( + # "stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4", + "stability-ai/sdxl:2f779eb9b23b34fe171f8eaa021b8261566f0d2c10cd2674063e7dbcd351509e", + input={"prompt": prompt} + ) + image_url = output[0] + # print(image_url) + + return image_url + + +def image_generation(prompt) -> str: + """ + Generate an image according to the prompt and return the image path. For example, when the prompt is "apple" you will get an image of an apple. Note: The prompt should describe objective things in detail, not abstract concepts. For example, if you want to draw a picture of Chengdu, the prompt should be "Picture of Chengdu, with giant pandas playing in the bamboo forest, people eating hot pot around, and a Jinsha Sunbird totem next to it" instead of "Draw a picture of Chengdu" "painting" + @param prompt: The prompt should be detailed enough to describe the image. Tips can be in any type of language, but English is recommended. + """ + from GeneralAgent import skills + if not skills.text_is_english(prompt): + prompt = skills.translate_text(prompt, 'english') + image_url = _replicate_image_generation(prompt) + image_path = skills.try_download_file(image_url) + print(f'image created at ![{image_path}]({image_path})') + return image_path + +def face_restoration(image_path): + """ Practical face restoration algorithm for old photos or AI-generated faces. input image path, and return the new image path""" + import replicate + from GeneralAgent import skills + image_url = replicate.run( + "tencentarc/gfpgan:9283608cc6b7be6b65a8e44983db012355fde4132009bf99d976b2f0896856a3", + input={"img": open(image_path, "rb")} + ) + new_image_path = skills.try_download_file(image_url) + return new_image_path + +def qrcode_stable_diffusion(prompt, qr_code_content): + """generate a qrcode image with prompt, return a image url""" + import replicate + output = replicate.run( + "nateraw/qrcode-stable-diffusion:9cdabf8f8a991351960c7ce2105de2909514b40bd27ac202dba57935b07d29d4", + input={"prompt": prompt, 'qr_code_content': qr_code_content} + ) + return output[0] + +def speech_to_text(audio_file_path): + """Convert speech in audio to text, return a text and the language of the text""" + import replicate + output = replicate.run( + "openai/whisper:91ee9c0c3df30478510ff8c8a3a545add1ad0259ad3a9f78fba57fbc05ee64f7", + input={"audio": open(audio_file_path, "rb")} + ) + print(output) + language = output['detected_language'] + text = output['transcription'] + + return text, language + + +if __name__ == '__main__': + image_generation('a cat') \ No newline at end of file diff --git a/GeneralAgent/skills/scrape_dynamic_web.py b/GeneralAgent/skills/scrape_dynamic_web.py new file mode 100644 index 0000000000000000000000000000000000000000..65709ec78487a5721a4e5115cd0254284f984bd6 --- /dev/null +++ b/GeneralAgent/skills/scrape_dynamic_web.py @@ -0,0 +1,70 @@ +def scrape_dynamic_web(url): + """ + This function takes a url and returns the text content of the web page. + It uses selenium to load the dynamic content of the page, and BeautifulSoup to parse the HTML and extract the text. + It also replaces <span> tags with their text content, and <br> tags with newline characters. + """ + from selenium import webdriver + from selenium.webdriver.chrome.service import Service + from webdriver_manager.chrome import ChromeDriverManager + from selenium.webdriver.common.by import By + from selenium.webdriver.chrome.options import Options + from selenium.webdriver.common.action_chains import ActionChains + from selenium.webdriver.support.ui import WebDriverWait + from selenium.webdriver.support import expected_conditions as EC + from selenium.webdriver.common.by import By + from bs4 import BeautifulSoup + import time + import re + from urllib.parse import urljoin + + # Setup chrome options + chrome_options = Options() + chrome_options.add_argument("--headless") # Ensure GUI is off + chrome_options.add_argument("--no-sandbox") + chrome_options.add_argument("--disable-dev-shm-usage") + + # Set path to chromedriver as per your configuration + webdriver_service = Service(ChromeDriverManager().install()) + + # Choose Chrome Browser + driver = webdriver.Chrome(service=webdriver_service, options=chrome_options) + driver.get(url) + + # Wait for the dynamic content to load + WebDriverWait(driver, 20).until(EC.presence_of_element_located((By.TAG_NAME, 'body'))) + + html = driver.page_source + driver.quit() + + # Parse html content + soup = BeautifulSoup(html, "html.parser") + for span in soup.find_all("span"): + span.replace_with(span.text) + for a in soup.find_all("a"): + href = urljoin(url, a.get('href')) + a.replace_with(f"[{a.text}]({href})") + for br in soup.find_all("br"): + br.replace_with("\n") + text = soup.get_text(separator="\n") + + # Replace multiple newlines and spaces around them with a single newline + text = re.sub('\s*\n\s*', '\n', text) + + # Collapse whitespace + text = ' '.join(text.split()) + + return text + +def test_scrape_dynamic_web(): + """ + This function tests the scrape_dynamic_web function. + It asserts that the returned text contains the string 'replicate'. + """ + url = "https://replicate.com/stability-ai/stable-video-diffusion/api?tab=python" + text = scrape_dynamic_web(url) + assert 'replicate' in text + print(text) + +if __name__ == '__main__': + test_scrape_dynamic_web() \ No newline at end of file diff --git a/GeneralAgent/skills/split_text.py b/GeneralAgent/skills/split_text.py new file mode 100644 index 0000000000000000000000000000000000000000..5ba7efb01b1384c1a71cee77dff37b5933298031 --- /dev/null +++ b/GeneralAgent/skills/split_text.py @@ -0,0 +1,28 @@ + + +def split_text(text, max_token=3000, separators='\n'): + """ + Split the text into paragraphs, each paragraph has less than max_token tokens. + """ + import re + from GeneralAgent import skills + pattern = "[" + re.escape(separators) + "]" + paragraphs = list(re.split(pattern, text)) + print(len(paragraphs)) + result = [] + current = '' + for paragraph in paragraphs: + if skills.string_token_count(current) + skills.string_token_count(paragraph) > max_token: + result.append(current) + current = '' + current += paragraph + '\n' + if len(current) > 0: + result.append(current) + new_result = [] + for x in result: + if skills.string_token_count(x) > max_token: + new_result.extend(split_text(x, max_token=max_token, separators="，。,.;；")) + else: + new_result.append(x) + new_result = [x.strip() for x in new_result if len(x.strip()) > 0] + return new_result \ No newline at end of file diff --git a/GeneralAgent/skills/stable_video_diffusion/dab774a452f3.jpg b/GeneralAgent/skills/stable_video_diffusion/dab774a452f3.jpg new file mode 100644 index 0000000000000000000000000000000000000000..caada5d150195a6288d6a183b7b72603efbab4dd Binary files /dev/null and b/GeneralAgent/skills/stable_video_diffusion/dab774a452f3.jpg differ diff --git a/GeneralAgent/skills/stable_video_diffusion/stable_video_diffusion.py b/GeneralAgent/skills/stable_video_diffusion/stable_video_diffusion.py new file mode 100644 index 0000000000000000000000000000000000000000..1c65b217c9fd8b485e49dcf6f807c4bd470f3742 --- /dev/null +++ b/GeneralAgent/skills/stable_video_diffusion/stable_video_diffusion.py @@ -0,0 +1,42 @@ +def stable_video_diffusion(image_path:str, video_frames_type='25_frames_with_svd_xt', sizing_strategy='maintain_aspect_ratio', frames_per_second=6, motion_bucket_id=127, cond_aug=0.02, decoding_t=14, seed=0) -> str: + """ + Generate a video piece in 4 seconds. Convert an image to a video using the stability-ai/stable-video-diffusion model. Default video duration is almost 4 seconds (25/6) Note: if you want to make a long video than 4 seconds, you should use stable_video_diffusion multi times and merge the videos using skills.concat_videos. + + Parameters: + image_path (str): The path to the input image. + video_frames_type (str): Use svd to generate 25 frames or 14_frames_with_svd for 14 frames. Default is '25_frames_with_svd_xt'. + sizing_strategy (str): Decide how to resize the input image. Default is 'maintain_aspect_ratio'. + frames_per_second (int): Frames per second. Default is 6. + motion_bucket_id (int): Increase overall motion in the generated video. Default is 127. + cond_aug (float): Amount of noise to add to input image. Default is 0.02. + decoding_t (int): Number of frames to decode at a time. Default is 14. + seed (int): Random seed. Default is 0. + + Returns: + str: The path of the generated video. + """ + import replicate + video_url = replicate.run( + "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438", + input={ + "input_image": open(image_path, "rb"), + "video_length": video_frames_type, + "sizing_strategy": sizing_strategy, + "frames_per_second": frames_per_second, + "motion_bucket_id": motion_bucket_id, + "cond_aug": cond_aug, + "decoding_t": decoding_t, + "seed": seed + } + ) + from GeneralAgent import skills + video_path = skills.try_download_file(video_url) + print(f'video created at [{video_path}]({video_path})') + return video_path + +def test_stable_video_diffusion(): + import os + image_path = os.path.join(os.path.dirname(__file__), 'dab774a452f3.jpg') + video_path = stable_video_diffusion(image_path) + assert os.path.exists(video_path) + os.remove(video_path) \ No newline at end of file diff --git a/GeneralAgent/skills/text_is_english.py b/GeneralAgent/skills/text_is_english.py new file mode 100644 index 0000000000000000000000000000000000000000..97f0aee9f79fef807e3cbffd7ddd3cbc45c9637f --- /dev/null +++ b/GeneralAgent/skills/text_is_english.py @@ -0,0 +1,17 @@ +def text_is_english(text): + """ + Check if a string is an English string. + """ + import string + # Remove all whitespace characters + text = ''.join(text.split()) + + # Check if all characters are in the ASCII range + if all(ord(c) < 128 for c in text): + # Check if the string contains any non-English characters + for c in text: + if c not in string.ascii_letters and c not in string.punctuation and c not in string.digits and c not in string.whitespace: + return False + return True + else: + return False \ No newline at end of file diff --git a/GeneralAgent/skills/text_to_speech.py b/GeneralAgent/skills/text_to_speech.py new file mode 100644 index 0000000000000000000000000000000000000000..0291ef57869f4ec02d317f8b67cce9c3fe2be7c6 --- /dev/null +++ b/GeneralAgent/skills/text_to_speech.py @@ -0,0 +1,942 @@ + +async def text_to_speech(text, voice_name='zh-CN-XiaoyiNeural'): + """ +Convert text to speech, retrun the audio file path. Available voices are below: +# voice_name: en-US-GuyNeural +# Gender: Male + +# voice_name: en-US-AriaNeural +# Gender: Female + +# voice_name: zh-CN-XiaoyiNeural +# Gender: Female + +# voice_name: zh-CN-YunxiNeural +# Gender: Male + """ + # import asyncio + # 查看所有的声音: edge-tts --list-voices + # https://github.com/rany2/edge-tts + # VOICE = "en-GB-SoniaNeural" + # VOICE = "zh-CN-XiaoxiaoNeural" + VOICE = voice_name + + from GeneralAgent import skills + save_path= skills.unique_name() + '.mp3' + # asyncio.run(_create_tts(text, VOICE, save_path)) + await _create_tts(text, VOICE, save_path) + print(f'audio created at [{save_path}]({save_path})') + return save_path + + +async def _create_tts(text, voice, output_file): + import edge_tts + communicate = edge_tts.Communicate(text, voice) + await communicate.save(output_file) + +if __name__ == '__main__': + text_to_speech('hello world') + + +# Name: af-ZA-AdriNeural +# Gender: Female + +# Name: af-ZA-WillemNeural +# Gender: Male + +# Name: am-ET-AmehaNeural +# Gender: Male + +# Name: am-ET-MekdesNeural +# Gender: Female + +# Name: ar-AE-FatimaNeural +# Gender: Female + +# Name: ar-AE-HamdanNeural +# Gender: Male + +# Name: ar-BH-AliNeural +# Gender: Male + +# Name: ar-BH-LailaNeural +# Gender: Female + +# Name: ar-DZ-AminaNeural +# Gender: Female + +# Name: ar-DZ-IsmaelNeural +# Gender: Male + +# Name: ar-EG-SalmaNeural +# Gender: Female + +# Name: ar-EG-ShakirNeural +# Gender: Male + +# Name: ar-IQ-BasselNeural +# Gender: Male + +# Name: ar-IQ-RanaNeural +# Gender: Female + +# Name: ar-JO-SanaNeural +# Gender: Female + +# Name: ar-JO-TaimNeural +# Gender: Male + +# Name: ar-KW-FahedNeural +# Gender: Male + +# Name: ar-KW-NouraNeural +# Gender: Female + +# Name: ar-LB-LaylaNeural +# Gender: Female + +# Name: ar-LB-RamiNeural +# Gender: Male + +# Name: ar-LY-ImanNeural +# Gender: Female + +# Name: ar-LY-OmarNeural +# Gender: Male + +# Name: ar-MA-JamalNeural +# Gender: Male + +# Name: ar-MA-MounaNeural +# Gender: Female + +# Name: ar-OM-AbdullahNeural +# Gender: Male + +# Name: ar-OM-AyshaNeural +# Gender: Female + +# Name: ar-QA-AmalNeural +# Gender: Female + +# Name: ar-QA-MoazNeural +# Gender: Male + +# Name: ar-SA-HamedNeural +# Gender: Male + +# Name: ar-SA-ZariyahNeural +# Gender: Female + +# Name: ar-SY-AmanyNeural +# Gender: Female + +# Name: ar-SY-LaithNeural +# Gender: Male + +# Name: ar-TN-HediNeural +# Gender: Male + +# Name: ar-TN-ReemNeural +# Gender: Female + +# Name: ar-YE-MaryamNeural +# Gender: Female + +# Name: ar-YE-SalehNeural +# Gender: Male + +# Name: az-AZ-BabekNeural +# Gender: Male + +# Name: az-AZ-BanuNeural +# Gender: Female + +# Name: bg-BG-BorislavNeural +# Gender: Male + +# Name: bg-BG-KalinaNeural +# Gender: Female + +# Name: bn-BD-NabanitaNeural +# Gender: Female + +# Name: bn-BD-PradeepNeural +# Gender: Male + +# Name: bn-IN-BashkarNeural +# Gender: Male + +# Name: bn-IN-TanishaaNeural +# Gender: Female + +# Name: bs-BA-GoranNeural +# Gender: Male + +# Name: bs-BA-VesnaNeural +# Gender: Female + +# Name: ca-ES-EnricNeural +# Gender: Male + +# Name: ca-ES-JoanaNeural +# Gender: Female + +# Name: cs-CZ-AntoninNeural +# Gender: Male + +# Name: cs-CZ-VlastaNeural +# Gender: Female + +# Name: cy-GB-AledNeural +# Gender: Male + +# Name: cy-GB-NiaNeural +# Gender: Female + +# Name: da-DK-ChristelNeural +# Gender: Female + +# Name: da-DK-JeppeNeural +# Gender: Male + +# Name: de-AT-IngridNeural +# Gender: Female + +# Name: de-AT-JonasNeural +# Gender: Male + +# Name: de-CH-JanNeural +# Gender: Male + +# Name: de-CH-LeniNeural +# Gender: Female + +# Name: de-DE-AmalaNeural +# Gender: Female + +# Name: de-DE-ConradNeural +# Gender: Male + +# Name: de-DE-KatjaNeural +# Gender: Female + +# Name: de-DE-KillianNeural +# Gender: Male + +# Name: el-GR-AthinaNeural +# Gender: Female + +# Name: el-GR-NestorasNeural +# Gender: Male + +# Name: en-AU-NatashaNeural +# Gender: Female + +# Name: en-AU-WilliamNeural +# Gender: Male + +# Name: en-CA-ClaraNeural +# Gender: Female + +# Name: en-CA-LiamNeural +# Gender: Male + +# Name: en-GB-LibbyNeural +# Gender: Female + +# Name: en-GB-MaisieNeural +# Gender: Female + +# Name: en-GB-RyanNeural +# Gender: Male + +# Name: en-GB-SoniaNeural +# Gender: Female + +# Name: en-GB-ThomasNeural +# Gender: Male + +# Name: en-HK-SamNeural +# Gender: Male + +# Name: en-HK-YanNeural +# Gender: Female + +# Name: en-IE-ConnorNeural +# Gender: Male + +# Name: en-IE-EmilyNeural +# Gender: Female + +# Name: en-IN-NeerjaExpressiveNeural +# Gender: Female + +# Name: en-IN-NeerjaNeural +# Gender: Female + +# Name: en-IN-PrabhatNeural +# Gender: Male + +# Name: en-KE-AsiliaNeural +# Gender: Female + +# Name: en-KE-ChilembaNeural +# Gender: Male + +# Name: en-NG-AbeoNeural +# Gender: Male + +# Name: en-NG-EzinneNeural +# Gender: Female + +# Name: en-NZ-MitchellNeural +# Gender: Male + +# Name: en-NZ-MollyNeural +# Gender: Female + +# Name: en-PH-JamesNeural +# Gender: Male + +# Name: en-PH-RosaNeural +# Gender: Female + +# Name: en-SG-LunaNeural +# Gender: Female + +# Name: en-SG-WayneNeural +# Gender: Male + +# Name: en-TZ-ElimuNeural +# Gender: Male + +# Name: en-TZ-ImaniNeural +# Gender: Female + +# Name: en-US-AnaNeural +# Gender: Female + +# Name: en-US-AriaNeural +# Gender: Female + +# Name: en-US-ChristopherNeural +# Gender: Male + +# Name: en-US-EricNeural +# Gender: Male + +# Name: en-US-GuyNeural +# Gender: Male + +# Name: en-US-JennyNeural +# Gender: Female + +# Name: en-US-MichelleNeural +# Gender: Female + +# Name: en-US-RogerNeural +# Gender: Male + +# Name: en-US-SteffanNeural +# Gender: Male + +# Name: en-ZA-LeahNeural +# Gender: Female + +# Name: en-ZA-LukeNeural +# Gender: Male + +# Name: es-AR-ElenaNeural +# Gender: Female + +# Name: es-AR-TomasNeural +# Gender: Male + +# Name: es-BO-MarceloNeural +# Gender: Male + +# Name: es-BO-SofiaNeural +# Gender: Female + +# Name: es-CL-CatalinaNeural +# Gender: Female + +# Name: es-CL-LorenzoNeural +# Gender: Male + +# Name: es-CO-GonzaloNeural +# Gender: Male + +# Name: es-CO-SalomeNeural +# Gender: Female + +# Name: es-CR-JuanNeural +# Gender: Male + +# Name: es-CR-MariaNeural +# Gender: Female + +# Name: es-CU-BelkysNeural +# Gender: Female + +# Name: es-CU-ManuelNeural +# Gender: Male + +# Name: es-DO-EmilioNeural +# Gender: Male + +# Name: es-DO-RamonaNeural +# Gender: Female + +# Name: es-EC-AndreaNeural +# Gender: Female + +# Name: es-EC-LuisNeural +# Gender: Male + +# Name: es-ES-AlvaroNeural +# Gender: Male + +# Name: es-ES-ElviraNeural +# Gender: Female + +# Name: es-GQ-JavierNeural +# Gender: Male + +# Name: es-GQ-TeresaNeural +# Gender: Female + +# Name: es-GT-AndresNeural +# Gender: Male + +# Name: es-GT-MartaNeural +# Gender: Female + +# Name: es-HN-CarlosNeural +# Gender: Male + +# Name: es-HN-KarlaNeural +# Gender: Female + +# Name: es-MX-DaliaNeural +# Gender: Female + +# Name: es-MX-JorgeNeural +# Gender: Male + +# Name: es-NI-FedericoNeural +# Gender: Male + +# Name: es-NI-YolandaNeural +# Gender: Female + +# Name: es-PA-MargaritaNeural +# Gender: Female + +# Name: es-PA-RobertoNeural +# Gender: Male + +# Name: es-PE-AlexNeural +# Gender: Male + +# Name: es-PE-CamilaNeural +# Gender: Female + +# Name: es-PR-KarinaNeural +# Gender: Female + +# Name: es-PR-VictorNeural +# Gender: Male + +# Name: es-PY-MarioNeural +# Gender: Male + +# Name: es-PY-TaniaNeural +# Gender: Female + +# Name: es-SV-LorenaNeural +# Gender: Female + +# Name: es-SV-RodrigoNeural +# Gender: Male + +# Name: es-US-AlonsoNeural +# Gender: Male + +# Name: es-US-PalomaNeural +# Gender: Female + +# Name: es-UY-MateoNeural +# Gender: Male + +# Name: es-UY-ValentinaNeural +# Gender: Female + +# Name: es-VE-PaolaNeural +# Gender: Female + +# Name: es-VE-SebastianNeural +# Gender: Male + +# Name: et-EE-AnuNeural +# Gender: Female + +# Name: et-EE-KertNeural +# Gender: Male + +# Name: fa-IR-DilaraNeural +# Gender: Female + +# Name: fa-IR-FaridNeural +# Gender: Male + +# Name: fi-FI-HarriNeural +# Gender: Male + +# Name: fi-FI-NooraNeural +# Gender: Female + +# Name: fil-PH-AngeloNeural +# Gender: Male + +# Name: fil-PH-BlessicaNeural +# Gender: Female + +# Name: fr-BE-CharlineNeural +# Gender: Female + +# Name: fr-BE-GerardNeural +# Gender: Male + +# Name: fr-CA-AntoineNeural +# Gender: Male + +# Name: fr-CA-JeanNeural +# Gender: Male + +# Name: fr-CA-SylvieNeural +# Gender: Female + +# Name: fr-CH-ArianeNeural +# Gender: Female + +# Name: fr-CH-FabriceNeural +# Gender: Male + +# Name: fr-FR-DeniseNeural +# Gender: Female + +# Name: fr-FR-EloiseNeural +# Gender: Female + +# Name: fr-FR-HenriNeural +# Gender: Male + +# Name: ga-IE-ColmNeural +# Gender: Male + +# Name: ga-IE-OrlaNeural +# Gender: Female + +# Name: gl-ES-RoiNeural +# Gender: Male + +# Name: gl-ES-SabelaNeural +# Gender: Female + +# Name: gu-IN-DhwaniNeural +# Gender: Female + +# Name: gu-IN-NiranjanNeural +# Gender: Male + +# Name: he-IL-AvriNeural +# Gender: Male + +# Name: he-IL-HilaNeural +# Gender: Female + +# Name: hi-IN-MadhurNeural +# Gender: Male + +# Name: hi-IN-SwaraNeural +# Gender: Female + +# Name: hr-HR-GabrijelaNeural +# Gender: Female + +# Name: hr-HR-SreckoNeural +# Gender: Male + +# Name: hu-HU-NoemiNeural +# Gender: Female + +# Name: hu-HU-TamasNeural +# Gender: Male + +# Name: id-ID-ArdiNeural +# Gender: Male + +# Name: id-ID-GadisNeural +# Gender: Female + +# Name: is-IS-GudrunNeural +# Gender: Female + +# Name: is-IS-GunnarNeural +# Gender: Male + +# Name: it-IT-DiegoNeural +# Gender: Male + +# Name: it-IT-ElsaNeural +# Gender: Female + +# Name: it-IT-IsabellaNeural +# Gender: Female + +# Name: ja-JP-KeitaNeural +# Gender: Male + +# Name: ja-JP-NanamiNeural +# Gender: Female + +# Name: jv-ID-DimasNeural +# Gender: Male + +# Name: jv-ID-SitiNeural +# Gender: Female + +# Name: ka-GE-EkaNeural +# Gender: Female + +# Name: ka-GE-GiorgiNeural +# Gender: Male + +# Name: kk-KZ-AigulNeural +# Gender: Female + +# Name: kk-KZ-DauletNeural +# Gender: Male + +# Name: km-KH-PisethNeural +# Gender: Male + +# Name: km-KH-SreymomNeural +# Gender: Female + +# Name: kn-IN-GaganNeural +# Gender: Male + +# Name: kn-IN-SapnaNeural +# Gender: Female + +# Name: ko-KR-InJoonNeural +# Gender: Male + +# Name: ko-KR-SunHiNeural +# Gender: Female + +# Name: lo-LA-ChanthavongNeural +# Gender: Male + +# Name: lo-LA-KeomanyNeural +# Gender: Female + +# Name: lt-LT-LeonasNeural +# Gender: Male + +# Name: lt-LT-OnaNeural +# Gender: Female + +# Name: lv-LV-EveritaNeural +# Gender: Female + +# Name: lv-LV-NilsNeural +# Gender: Male + +# Name: mk-MK-AleksandarNeural +# Gender: Male + +# Name: mk-MK-MarijaNeural +# Gender: Female + +# Name: ml-IN-MidhunNeural +# Gender: Male + +# Name: ml-IN-SobhanaNeural +# Gender: Female + +# Name: mn-MN-BataaNeural +# Gender: Male + +# Name: mn-MN-YesuiNeural +# Gender: Female + +# Name: mr-IN-AarohiNeural +# Gender: Female + +# Name: mr-IN-ManoharNeural +# Gender: Male + +# Name: ms-MY-OsmanNeural +# Gender: Male + +# Name: ms-MY-YasminNeural +# Gender: Female + +# Name: mt-MT-GraceNeural +# Gender: Female + +# Name: mt-MT-JosephNeural +# Gender: Male + +# Name: my-MM-NilarNeural +# Gender: Female + +# Name: my-MM-ThihaNeural +# Gender: Male + +# Name: nb-NO-FinnNeural +# Gender: Male + +# Name: nb-NO-PernilleNeural +# Gender: Female + +# Name: ne-NP-HemkalaNeural +# Gender: Female + +# Name: ne-NP-SagarNeural +# Gender: Male + +# Name: nl-BE-ArnaudNeural +# Gender: Male + +# Name: nl-BE-DenaNeural +# Gender: Female + +# Name: nl-NL-ColetteNeural +# Gender: Female + +# Name: nl-NL-FennaNeural +# Gender: Female + +# Name: nl-NL-MaartenNeural +# Gender: Male + +# Name: pl-PL-MarekNeural +# Gender: Male + +# Name: pl-PL-ZofiaNeural +# Gender: Female + +# Name: ps-AF-GulNawazNeural +# Gender: Male + +# Name: ps-AF-LatifaNeural +# Gender: Female + +# Name: pt-BR-AntonioNeural +# Gender: Male + +# Name: pt-BR-FranciscaNeural +# Gender: Female + +# Name: pt-PT-DuarteNeural +# Gender: Male + +# Name: pt-PT-RaquelNeural +# Gender: Female + +# Name: ro-RO-AlinaNeural +# Gender: Female + +# Name: ro-RO-EmilNeural +# Gender: Male + +# Name: ru-RU-DmitryNeural +# Gender: Male + +# Name: ru-RU-SvetlanaNeural +# Gender: Female + +# Name: si-LK-SameeraNeural +# Gender: Male + +# Name: si-LK-ThiliniNeural +# Gender: Female + +# Name: sk-SK-LukasNeural +# Gender: Male + +# Name: sk-SK-ViktoriaNeural +# Gender: Female + +# Name: sl-SI-PetraNeural +# Gender: Female + +# Name: sl-SI-RokNeural +# Gender: Male + +# Name: so-SO-MuuseNeural +# Gender: Male + +# Name: so-SO-UbaxNeural +# Gender: Female + +# Name: sq-AL-AnilaNeural +# Gender: Female + +# Name: sq-AL-IlirNeural +# Gender: Male + +# Name: sr-RS-NicholasNeural +# Gender: Male + +# Name: sr-RS-SophieNeural +# Gender: Female + +# Name: su-ID-JajangNeural +# Gender: Male + +# Name: su-ID-TutiNeural +# Gender: Female + +# Name: sv-SE-MattiasNeural +# Gender: Male + +# Name: sv-SE-SofieNeural +# Gender: Female + +# Name: sw-KE-RafikiNeural +# Gender: Male + +# Name: sw-KE-ZuriNeural +# Gender: Female + +# Name: sw-TZ-DaudiNeural +# Gender: Male + +# Name: sw-TZ-RehemaNeural +# Gender: Female + +# Name: ta-IN-PallaviNeural +# Gender: Female + +# Name: ta-IN-ValluvarNeural +# Gender: Male + +# Name: ta-LK-KumarNeural +# Gender: Male + +# Name: ta-LK-SaranyaNeural +# Gender: Female + +# Name: ta-MY-KaniNeural +# Gender: Female + +# Name: ta-MY-SuryaNeural +# Gender: Male + +# Name: ta-SG-AnbuNeural +# Gender: Male + +# Name: ta-SG-VenbaNeural +# Gender: Female + +# Name: te-IN-MohanNeural +# Gender: Male + +# Name: te-IN-ShrutiNeural +# Gender: Female + +# Name: th-TH-NiwatNeural +# Gender: Male + +# Name: th-TH-PremwadeeNeural +# Gender: Female + +# Name: tr-TR-AhmetNeural +# Gender: Male + +# Name: tr-TR-EmelNeural +# Gender: Female + +# Name: uk-UA-OstapNeural +# Gender: Male + +# Name: uk-UA-PolinaNeural +# Gender: Female + +# Name: ur-IN-GulNeural +# Gender: Female + +# Name: ur-IN-SalmanNeural +# Gender: Male + +# Name: ur-PK-AsadNeural +# Gender: Male + +# Name: ur-PK-UzmaNeural +# Gender: Female + +# Name: uz-UZ-MadinaNeural +# Gender: Female + +# Name: uz-UZ-SardorNeural +# Gender: Male + +# Name: vi-VN-HoaiMyNeural +# Gender: Female + +# Name: vi-VN-NamMinhNeural +# Gender: Male + +# Name: zh-CN-XiaoxiaoNeural +# Gender: Female + +# Name: zh-CN-XiaoyiNeural +# Gender: Female + +# Name: zh-CN-YunjianNeural +# Gender: Male + +# Name: zh-CN-YunxiNeural +# Gender: Male + +# Name: zh-CN-YunxiaNeural +# Gender: Male + +# Name: zh-CN-YunyangNeural +# Gender: Male + +# Name: zh-CN-liaoning-XiaobeiNeural +# Gender: Female + +# Name: zh-CN-shaanxi-XiaoniNeural +# Gender: Female + +# Name: zh-HK-HiuGaaiNeural +# Gender: Female + +# Name: zh-HK-HiuMaanNeural +# Gender: Female + +# Name: zh-HK-WanLungNeural +# Gender: Male + +# Name: zh-TW-HsiaoChenNeural +# Gender: Female + +# Name: zh-TW-HsiaoYuNeural +# Gender: Female + +# Name: zh-TW-YunJheNeural +# Gender: Male + +# Name: zu-ZA-ThandoNeural +# Gender: Female + +# Name: zu-ZA-ThembaNeural +# Gender: Male \ No newline at end of file diff --git a/GeneralAgent/skills/text_translation.py b/GeneralAgent/skills/text_translation.py new file mode 100644 index 0000000000000000000000000000000000000000..6442c07f6bd22b33fc573805d071292106624409 --- /dev/null +++ b/GeneralAgent/skills/text_translation.py @@ -0,0 +1,69 @@ +def translate_text(text, language): + """Translates the given text into the specified language, e.g. translate_text('I love china', 'chinese'). For efficiency, You Must translate larger text blocks at once.""" + """translate the text to language, like chinese, english, frech etc. like translate_text('I love china', 'chinese'). Try to translate more content at once, instead of calling multiple times""" + from GeneralAgent import skills + segments = skills.split_text(text, 1800) + translated = [] + # system_prompt = [{"role": "system", "content": f"You are a translator, translate the following text to {language}."}] + for x in segments: + # messages = system_prompt + [{"role": "user", "content": x}] + messages = [ + {"role": "system", "content": 'You are a helpful assistant that translates text.'}, + {"role": "user", "content": f'翻译下面被---------包围起来的文字成{language}。注意，返回翻译全文，不要任何解释和描述。: \n---------\n{x}\n---------\n'} + ] + translated += [skills.llm_inference(messages)] + return '. '.join(translated) + + +def _translate_text(text, target_language): + # This is write by Agent builder + """ + Translate a given text into the specified language using the large language model. + + Parameters: + text (str): The text to be translated. + target_language (str): The language to which the text should be translated. + + Returns: + str: The translated text. + """ + # Importing necessary libraries + import numpy as np + from GeneralAgent import skills + + # Defining constants + MAX_TOKENS = 8000 + + # Splitting the text into chunks of suitable size + text_chunks = [] + while len(text) > 0: + if len(text) > MAX_TOKENS: + chunk, text = text[:MAX_TOKENS], text[MAX_TOKENS:] + else: + chunk, text = text, "" + text_chunks.append(chunk) + + # Translating each chunk + translated_text = "" + for chunk in text_chunks: + # Preparing the messages for the LLM + messages = [ + {"role": "system", "content": 'You are a helpful assistant that translates text.'}, + {"role": "user", "content": f'Translate the following text to {target_language}: "{chunk}"'} + ] + + # Defining the JSON schema for the return dictionary + json_schema = { + "type": "object", + "properties": { + "translated_text": {"type": "string"} + } + } + + # Running the LLM inference + result = skills.simple_llm_inference(messages, json_schema) + + # Adding the translated chunk to the final translated text + translated_text += result["translated_text"] + + return translated_text \ No newline at end of file diff --git a/GeneralAgent/skills/token_count.py b/GeneralAgent/skills/token_count.py new file mode 100644 index 0000000000000000000000000000000000000000..249888e12b66c2ecd1f838016d8ecb02da6937ac --- /dev/null +++ b/GeneralAgent/skills/token_count.py @@ -0,0 +1,28 @@ +def messages_token_count(messages): + "Calculate and return the total number of tokens in the provided messages." + import tiktoken + encoding = tiktoken.get_encoding("cl100k_base") + tokens_per_message = 4 + tokens_per_name = 1 + num_tokens = 0 + for message in messages: + num_tokens += tokens_per_message + for key, value in message.items(): + num_tokens += len(encoding.encode(value)) + if key == "name": + num_tokens += tokens_per_name + num_tokens += 3 # every reply is primed with <|start|>assistant<|message|> + return num_tokens + +def string_token_count(str): + """Calculate and return the token count in a given string.""" + import tiktoken + encoding = tiktoken.get_encoding("cl100k_base") + tokens = encoding.encode(str) + return len(tokens) + + +def cut_messages(messages, token_limit): + while messages_token_count(messages) > token_limit: + messages.pop(0) + return messages \ No newline at end of file diff --git a/GeneralAgent/skills/unique_name.py b/GeneralAgent/skills/unique_name.py new file mode 100644 index 0000000000000000000000000000000000000000..dc36eac1eb7d51e6a1b01dc525c0e2c477da235b --- /dev/null +++ b/GeneralAgent/skills/unique_name.py @@ -0,0 +1,16 @@ + +def unique_name(): + """Generates a unique name, suitable for creating non-deletable files.""" + """生成唯一的名称，可用于新建文件名，且文件不删除""" + import uuid + return str(uuid.uuid4()).split('-')[-1] + +def unique_tmp_file_name(): + """Generates a unique temporary file name which needs to be deleted afterwards.""" + """"生成唯一的临时文件名称，且文件需要事后删除""" + import os + tmp_dir = os.path.abspath(os.path.join(os.getcwd(), 'tmp')) + # 如果tmp_dir目录不存在，就创建 + if not os.path.exists(tmp_dir): + os.makedirs(tmp_dir) + return tmp_dir + unique_name() \ No newline at end of file diff --git a/GeneralAgent/skills/web_tools.py b/GeneralAgent/skills/web_tools.py new file mode 100644 index 0000000000000000000000000000000000000000..c3f39c93308292c4de46fba59a271af899848cd9 --- /dev/null +++ b/GeneralAgent/skills/web_tools.py @@ -0,0 +1,92 @@ +def google_search(query: str) -> dict: + """ + google search with query, return a result in list like [{"title": "xx", "link": "xx", "snippet": "xx"}] + """ + import os + import json + import requests + SERPER_API_KEY = os.environ.get('SERPER_API_KEY', None) + if SERPER_API_KEY is None: + print('Please set SERPER_API_KEY in environment variable first.') + return None + url = "https://google.serper.dev/search" + payload = json.dumps({"q": query}) + headers = { + 'X-API-KEY': SERPER_API_KEY, + 'Content-Type': 'application/json' + } + response = requests.request("POST", url, headers=headers, data=payload) + result = json.loads(response.text) + # 提取organic的title、link、snippet + organic = [{'title': item['title'], 'link': item['link'], 'snippet': item['snippet']} for item in result['organic']] + return organic + +def scrape_web(url: str): + """ + Scrape web page, return (title: str, text: str, image_urls: [str], hyperlinks: [str]) when success, otherwise return None. + """ + # TODO: use selenium + import re + import requests + from bs4 import BeautifulSoup + from requests.compat import urljoin + try: + response = requests.get(url) + response.raise_for_status() + soup = BeautifulSoup(response.content, "html.parser") + title = str(soup.title.string) + text = str(re.sub(r'<style.*?</style>', '', soup.get_text(), flags=re.DOTALL)) + image_urls = [str(image['src']) for image in soup.find_all('img')] + hyperlinks = [(str(link.text), str(urljoin(url, link["href"]))) for link in soup.find_all("a", href=True) if urljoin(url, link["href"]).startswith('http')] + return (title, text, image_urls, hyperlinks) + except Exception as e: + import logging + logging.exception(e) + return None + + +def wikipedia_search(query: str) -> str: + """ + wikipedia search with query, return a result in string + """ + import requests + from bs4 import BeautifulSoup + + def get_page_obs(page): + # find all paragraphs + paragraphs = page.split("\n") + paragraphs = [p.strip() for p in paragraphs if p.strip()] + + # find all sentence + sentences = [] + for p in paragraphs: + sentences += p.split('. ') + sentences = [s.strip() + '.' for s in sentences if s.strip()] + return ' '.join(sentences[:5]) + + def clean_str(s): + return s.replace("\xa0", " ").replace("\n", " ") + + entity = query.replace(" ", "+") + search_url = f"https://en.wikipedia.org/w/index.php?search={entity}" + response_text = requests.get(search_url).text + soup = BeautifulSoup(response_text, features="html.parser") + result_divs = soup.find_all("div", {"class": "mw-search-result-heading"}) + if result_divs: + result_titles = [clean_str(div.get_text().strip()) for div in result_divs] + obs = f"Could not find {query}. Similar: {result_titles[:5]}." + else: + page = [p.get_text().strip() for p in soup.find_all("p") + soup.find_all("ul")] + if any("may refer to:" in p for p in page): + obs = wikipedia_search("[" + query + "]") + else: + page_content = "" + for p in page: + if len(p.split(" ")) > 2: + page_content += ' ' + clean_str(p) + if not p.endswith("\n"): + page_content += "\n" + obs = get_page_obs(page_content) + if not obs: + obs = None + return obs diff --git a/GeneralAgent/utils.py b/GeneralAgent/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..e8e93ca7400f727489a411555b282f7829548146 --- /dev/null +++ b/GeneralAgent/utils.py @@ -0,0 +1,136 @@ +import os +import logging + + +def default_get_input(): + "input multi lines, end with two empty lines" + print('[input]') + lines = [] + while True: + line = input() + if line: + lines.append(line) + else: + break + text = '\n'.join(lines) + return text + +async def default_output_callback(token): + if token is not None: + print(token, end='', flush=True) + else: + print('\n[output end]\n', end='', flush=True) + +def confirm_to_run(): + auto_run = os.environ.get('AUTO_RUN', 'n') + if auto_run == 'y': + return True + print('Are you sure to run this script? (y/n)') + while True: + line = input() + if line == 'y': + return True + elif line == 'n': + return False + else: + print('Please input y or n') + +def set_logging_level(log_level=None): + for handler in logging.root.handlers[:]: + logging.root.removeHandler(handler) + if log_level is None: + log_level = os.environ.get('LOG_LEVEL', 'ERROR') + log_level = log_level.upper() + if log_level == 'DEBUG': + level = logging.DEBUG + elif log_level == 'INFO': + level = logging.INFO + elif log_level == 'WARNING': + level = logging.WARNING + elif log_level == 'ERROR': + level = logging.ERROR + else: + level = logging.ERROR + # logging设置显示文件(绝对路径) + logging.basicConfig( + level=level, + format='%(asctime)s %(pathname)s [line:%(lineno)d] %(levelname)s %(funcName)s %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' + ) + +def get_data_dir(): + # import traceback + # traceback.print_stack() + data_dir = os.environ.get('DATA_DIR', None) + if data_dir is None: + data_dir = os.path.join(os.path.dirname(__file__), '../data/') + logging.warning('enviroment DATA_DIR (user data directory) is not set, use default: %s', data_dir) + if not os.path.exists(data_dir): + os.makedirs(data_dir) + return data_dir + +def get_applications_dir(): + data_dir = get_data_dir() + applications_dir = os.path.join(data_dir, 'applications') + if not os.path.exists(applications_dir): + os.makedirs(applications_dir) + return applications_dir + +def get_applications_data_dir(): + data_dir = get_data_dir() + applications_dir = os.path.join(data_dir, 'applications_data') + if not os.path.exists(applications_dir): + os.makedirs(applications_dir) + return applications_dir + +def get_functions_dir(): + data_dir = get_data_dir() + functions_dir = os.path.join(data_dir, 'functions') + if not os.path.exists(functions_dir): + os.makedirs(functions_dir) + logging.info('functions_dir: %s', functions_dir) + return functions_dir + +def get_server_dir(): + data_dir = get_data_dir() + server_dir = os.path.join(data_dir, 'server') + if not os.path.exists(server_dir): + os.makedirs(server_dir) + return server_dir + +def set_tsx_builder_dir(the_dir): + os.environ['TSX_BUILDER_DIR'] = the_dir + +def get_tsx_builder_dir(): + default_tsx_builder_dir = os.path.join(os.path.dirname(__file__), '../webui/server/server/ts_builder') + tsx_builder_dir = os.environ.get('TSX_BUILDER_DIR', default_tsx_builder_dir) + if not os.path.exists(os.path.join(default_tsx_builder_dir, 'package.json')): + raise Exception('enviroment TSX_BUILDER_DIR (ui builder project directory) is not set, the package.json file not exists') + return tsx_builder_dir + +def set_local_applications_dir(the_dir): + os.environ['LOCAL_APPLICATIONS_DIR'] = the_dir + +def get_local_applications_dir(): + local_applications_dir = os.environ.get('LOCAL_APPLICATIONS_DIR', None) + if local_applications_dir is None: + raise Exception('enviroment LOCAL_APPLICATIONS_DIR is not set') + return local_applications_dir + +import os + +class EnvironmentVariableManager: + def __init__(self, key, value): + self.key = key + self.value = value + self.original_value = None + + def __enter__(self): + self.original_value = os.environ.get(self.key) + os.environ[self.key] = self.value + + def __exit__(self, exc_type, exc_val, exc_tb): + if self.original_value is None: + del os.environ[self.key] + else: + os.environ[self.key] = self.original_value \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..9bae682fed94eacac3ff167c83c9f1e625686896 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +The MIT License + +Copyright (c) Chen Li + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md index f2c23774e5c1b8d355e51606c8713232b050a6d2..4b98ec48957b0c9616772806498d7e5ef70ac698 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,188 @@ ---- -title: GeneralAgent -emoji: 📊 -colorFrom: indigo -colorTo: gray -sdk: docker -pinned: false -license: mit ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference +<h1 align="center">GeneralAgent: From LLM to Agent</h1> +<p align="center"> +<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a> +<a href="README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a> +<img src="https://img.shields.io/static/v1?label=license&message=MIT&color=white&style=flat" alt="License"/> +</p> +<p align='center'> +A simple, general, customizable Agent framework +</p> + + +## Features + +* Simple、Fast、Stable: **stable with GPT3.5**. +* GeneralAgent support **serialization**, include **python state**. +* Build-in interpreters: Python, AppleScript, Shell, File, Plan, Retrieve Embedding etc. +* **Dynamic UI**: Agent can create dynamic ui to user who can use. +* **Agent Builder**: Create agents using natural language and use them immediately, without coding. +* [AthenaAgent](https://github.com/sigworld/AthenaAgent) is a TypeScript port of GeneralAgent. + + + +## Architecture + +**GeneralAgent** + +![Architecture](./docs/images/Architecture_2023.11.15.png) + +**WebUI** + +<p align="center"> +<img src="./docs/images/webui_2023.11.15.png" alt="WebUI" width=600/> +</p> + + +## Demo + +**Version 0.0.11** + +![agent builder](./docs/images/2023_11_27_builder_agent.jpg) + +![agent created](./docs/images/2023_11_27_image_creator.jpg) + + + +**Version 0.03** + +![webui](./docs/images/2023.11.15.jpg) + + + +**Version 0.0.2** + + + +https://github.com/CosmosShadow/GeneralAgent/assets/13933465/9d9b4d6b-0c9c-404d-87d8-7f8e03f3772b + + + +## Usage + +### docker + +```bash +# pull docker +docker pull cosmosshadow/general-agent + +# make .env +# download .env.example and copy to .env, then configure environment variables in the .env file, such as OPENAI_API_KEY, etc. +wget https://github.com/CosmosShadow/GeneralAgent/blob/main/.env.example +cp .env.example .env +vim .env +# Configure environment variables in the .env file, such as OPENAI_API_KEY, etc. + +# run +docker run \ +-p 3000:3000 \ +-p 7777:7777 \ +-v `pwd`/.env:/workspace/.env \ +-v `pwd`/data:/workspace/data \ +--name=agent \ +--privileged=true \ +-d cosmosshadow/general-agent + +# open web with localhost:3000 +``` + + + +### Local installation and usage + +#### Installation + +```bash +pip install GeneralAgent +``` + +#### Set environment variables + +```bash +# download .env.example and copy to .env, then configure environment variables in the .env file, such as OPENAI_API_KEY, etc. +wget https://github.com/CosmosShadow/GeneralAgent/blob/main/.env.example +cp .env.example .env +vim .env + +export $(grep -v '^#' .env | sed 's/^export //g' | xargs) +``` + +#### Command line tool + +```shell +GeneralAgent +# or +GeneralAgent --workspace ./test --new --auto_run +# worksapce: Set workspace directory, default ./general_agent +# new: if workspace exists, create a new workspace, like ./general_agent_2023xxx +# auto_run: if auto_run, the agent will run the code automatically, default no +``` + +#### WebUI + +```bash +git clone https://github.com/CosmosShadow/GeneralAgent +cd GeneralAgent +# Preparation +cd webui/web/ && npm install && cd ../../ +cd webui/server/server/ts_builder && npm install && cd ../../../../ +# Start the server +cd webui/server/server/ +uvicorn app:app --host 0.0.0.0 --port 7777 +# Start the web service +cd webui/web +npm run start +``` + + + +#### Python usage + +Please refer to the code for usage + +* [examples](examples) +* [webui/server/server/applications](webui/server/server/applications) + + + +## Development + +* Build, code development and release in docker environment: [docs/develop/docker.md](docs/develop/docker.md) +* pip library packaging process: [docs/develop/package.md](docs/develop/package.md) +* Unit testing and release (pip & docker) process: [docs/develop/test_publish.md](docs/develop/test_publish.md) + + + +## Others + +* GeneralAgent uses [litellm](https://docs.litellm.ai/docs/) to access various platforms of large models. + +* If you access local LLM and Embedding, you can refer to the code: +[llm_inference.py](https://github.com/CosmosShadow/GeneralAgent/blob/main/GeneralAgent/skills/llm_inference.py), rewrite the following three methods: + +```python +from GeneralAgent import skills + +def llm_inference(messages, model_type='normal', stream=False, json_schema=None): + pass +skills.llm_inference = llm_inference + +def embedding_single(text) -> [float]: + pass +skills.embedding_single = embedding_single + +def embedding_batch(texts) -> [[float]]: + pass +skills.embedding_batch = embedding_batch + +``` + + +## Join us + +Scan the QR code below with WeChat + +<p align="center"> +<img src="./docs/images/wechat.jpg" alt="wechat" width=400/> +</p> + +discord is comming soon. \ No newline at end of file diff --git a/README_CN.md b/README_CN.md new file mode 100644 index 0000000000000000000000000000000000000000..468ac18f56df88c5cabbbbf5ec407844ce07edb6 --- /dev/null +++ b/README_CN.md @@ -0,0 +1,215 @@ +<h1 align="center">GeneralAgent: 从LLM到Agent</h1> + +<p align="center"> +<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a> +<a href="README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a> +<img src="https://img.shields.io/static/v1?label=license&message=MIT&color=white&style=flat" alt="License"/> +</p> + +<p align='center'> +一个简单、通用、可定制的Agent框架 +</p> + + + +## 特点 + +* 简单、快速、稳定：**与GPT3.5稳定兼容**。 + +* GeneralAgent支持**序列化**，包括**Python状态**。 + +* 内置解释器：Python、AppleScript、Shell、文件、计划、检索嵌入等。 + +* **动态UI**：Agent可以为用户创建动态UI。 + +* **Agent Builder**: 使用自然语言创建Agent，并可以马上使用，而无需编码。 + +* [AthenaAgent](https://github.com/sigworld/AthenaAgent)是GeneralAgent的TypeScript版本。 + + + +## 架构 + +**GeneralAgent** + + + +![架构](./docs/images/Architecture_2023.11.15.png) + + + +**WebUI** + +<p align="center"> +<img src="./docs/images/webui_2023.11.15.png" alt="WebUI" width=600/> +</p> + + +## 演示 + +**Version 0.0.11** + +![agent builder](./docs/images/2023_11_27_builder_agent.jpg) + +![agent created](./docs/images/2023_11_27_image_creator.jpg) + +**版本0.03** + + +![webui](./docs/images/2023.11.15.jpg) + + +**版本0.0.2** + + +https://github.com/CosmosShadow/GeneralAgent/assets/13933465/9d9b4d6b-0c9c-404d-87d8-7f8e03f3772b + + + +## 使用方法 + +### Docker + +```bash + +# 拉取Docker镜像 +docker pull cosmosshadow/general-agent + + +# 下载.env.example并拷贝成.env，替换其中的变量，如LLM_SOURCE、OPENAI_API_KEY +wget https://github.com/CosmosShadow/GeneralAgent/blob/main/.env.example +cp .env.example .env +vim .env +# 配置.env文件中的环境变量，比如OPENAI_API_KEY等 + + +# 运行 +docker run \ +-p 3000:3000 \ +-p 7777:7777 \ +-v `pwd`/.env:/workspace/.env \ +-v `pwd`/data:/workspace/data \ +--name=agent \ +--privileged=true \ +-d cosmosshadow/general-agent + +# 在本地浏览器中打开localhost:3000 +``` + + + +### 本地安装使用 + +#### 安装 + +```bash +pip install GeneralAgent +``` + + + +#### 设置环境变量 + +```bash +# 下载.env.example并拷贝成.env，替换其中的变量，如LLM_SOURCE、OPENAI_API_KEY +wget https://github.com/CosmosShadow/GeneralAgent/blob/main/.env.example +cp .env.example .env +vim .env +# 配置.env文件中的环境变量，比如OPENAI_API_KEY等 +export $(grep -v '^#' .env | sed 's/^export //g' | xargs) +``` + + + +#### 命令行工具 + +```shell +GeneralAgent +# 或者 +GeneralAgent --workspace ./test --new --auto_run +# worksapce: 设置工作目录，默认为./general_agent +# new: 如果工作目录已存在，则创建一个新的工作目录，如./general_agent_2023xxx +# auto_run: 如果设置了auto_run，Agent将自动运行代码，默认为否 +``` + + + +#### WebUI + +```bash +git clone https://github.com/CosmosShadow/GeneralAgent +cd GeneralAgent +# 准备工作 + +cd webui/web/ && npm install && cd ../../ + +cd webui/server/server/ts_builder && npm install && cd ../../../../ + +# 启动服务端 + +cd webui/server/server/ + +uvicorn app:app --host 0.0.0.0 --port 7777 + +# 启动web服务 + +cd webui/web + +npm run start + +``` + + + +#### Python使用 + +请参考代码 + +* [examples](examples) + +* [webui/server/server/applications](webui/server/server/applications) + + + +## 开发 + +* docker环境下的build、代码开发、发布: [docs/develop/docker.md](docs/develop/docker.md) +* pip库打包流程: [docs/develop/package.md](docs/develop/package.md) +* 单元测试和发布(pip & docker)流程: [docs/develop/test_publish.md](docs/develop/test_publish.md) + + + +## 其他 + +* GeneralAgent使用[litellm](https://docs.litellm.ai/docs/)来接入各种平台的大模型。 + +* 如果接入本地LLM和Embedding，可以参考代码: +[llm_inference.py](https://github.com/CosmosShadow/GeneralAgent/blob/main/GeneralAgent/skills/llm_inference.py)，重写下面三个方法: + +```python +from GeneralAgent import skills + +def llm_inference(messages, model_type='normal', stream=False, json_schema=None): + pass +skills.llm_inference = llm_inference + +def embedding_single(text) -> [float]: + pass +skills.embedding_single = embedding_single + +def embedding_batch(texts) -> [[float]]: + pass +skills.embedding_batch = embedding_batch + +``` + + +## 加入我们 + +微信扫码下面二维码 + +<p align="center"> +<img src="./docs/images/wechat.jpg" alt="wechat" width=400/> +</p> + +discord即将推出。 \ No newline at end of file diff --git a/docker/Dockerfile b/docker/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..c6d63b97eb9796e2d00097068d0b581f86582d36 --- /dev/null +++ b/docker/Dockerfile @@ -0,0 +1,23 @@ +FROM cosmosshadow/general-agent-base:0.0.2 + +WORKDIR /workspace + +# install requirements +ADD ./pyproject.toml ./pyproject.toml +RUN pip install poetry && poetry install + +# copy source +RUN chmod -R a+w /workspace +ADD GeneralAgent ./GeneralAgent +ADD webui/server ./webui/server +ADD webui/web/build ./webui/web/build +RUN mkdir ./data + +# /workspace添加到python环境变量 +ENV PYTHONPATH=/workspace:$PYTHONPATH +ENV DATA_DIR='/workspace/data/' + +ADD ./start.sh ./start.sh +RUN chmod +x ./start.sh + +CMD [ "bash", "./start.sh" ] \ No newline at end of file diff --git a/docker/Dockerfile_base b/docker/Dockerfile_base new file mode 100644 index 0000000000000000000000000000000000000000..affd88fd39cb62e15d751962072520e171a0e31b --- /dev/null +++ b/docker/Dockerfile_base @@ -0,0 +1,54 @@ +FROM ubuntu:18.04 + +RUN apt-get update && apt-get install -y \ + libgl1-mesa-glx libglib2.0-dev \ + build-essential \ + cmake \ + wget \ + curl \ + unzip \ + ca-certificates \ + libjpeg-dev \ + libpng-dev \ + libopenblas-dev \ + libatlas-base-dev \ + gdebi-core + +RUN apt-get update && apt-get install -y software-properties-common gcc && \ + add-apt-repository -y ppa:deadsnakes/ppa +ARG DEBIAN_FRONTEND=noninteractive + +WORKDIR /tmp/ + +# python3.8 +RUN apt-get update &&apt-get install -y python3.8 python3.8-distutils +RUN curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3.8 get-pip.py && rm get-pip.py +RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.8 10 + +# python3.8 compile env +RUN apt-get update && apt-get install -y python3.8-dev + +# install node、npm +RUN curl -fsSL https://deb.nodesource.com/setup_14.x | bash - +RUN apt-get update && apt-get install -y nodejs +RUN npm install -g serve + +# ffmpeg +RUN apt install ffmpeg -y + +# upgrade sqlite3 +RUN wget https://www.sqlite.org/2023/sqlite-autoconf-3440000.tar.gz && \ + tar xvfz sqlite-autoconf-3440000.tar.gz && \ + cd sqlite-autoconf-3440000 && \ + ./configure --prefix=/usr && \ + make -j 4&& \ + make install && \ + cd .. +ENV LD_LIBRARY_PATH=/usr/lib + +# install requirements +ADD ./pyproject.toml ./pyproject.toml +RUN pip install poetry && poetry install + +# /workspace添加到python环境变量 +ENV PYTHONPATH=/workspace:$PYTHONPATH \ No newline at end of file diff --git a/docs/cases/cases.md b/docs/cases/cases.md new file mode 100644 index 0000000000000000000000000000000000000000..6aa1c38bbe7a070f734822f0b1d55f1ab338e768 --- /dev/null +++ b/docs/cases/cases.md @@ -0,0 +1,50 @@ +## run in terminal + +## math +calculate 0.99 ** 1000 + +## file +[input 1] +Write the description of Chengdu to the file a.txt in one step +[input 2] +what is in a.txt + +## plan +[input 1] +Help me write a business plan framework for an AI painting product for angel round investment. If it is unclear, you can design it appropriately without asking me. +帮我写一个天使轮投资的AI绘画产品的商业计划框架。 如果不清楚，你可以适当设计，不用问我。 + +[input 2] +```runplan complete +1. Executive Summary: + - Provide an overview of your AI painting product and its unique selling points. + - Highlight the market opportunity and potential for growth. + - Summarize your business model and revenue streams. + - Mention the funding requirements for the angel round investment. +``` + +## control computer +[input 1] +set dark mode +[input 2] +trun back + +## write a ppt +help me write a ppt hello.pptx: 1 page with 'hello world' + +## read for retrieve +[input 1] +```read +Nougat_piece.pdf +``` +[input 2] +what is the advantage of the model Nougat? + +## stock compare +What date is today? Compare the year-to-date gain for META and TESLA. + +see [stock_compare.md](./stock_compare.md) for more. + +## get the news +[input 1] +Give me five latest news about Tesla. \ No newline at end of file diff --git a/docs/cases/stock_compare.md b/docs/cases/stock_compare.md new file mode 100644 index 0000000000000000000000000000000000000000..262e3d4cd370a542bc3ed608653dd3f1d650e412 --- /dev/null +++ b/docs/cases/stock_compare.md @@ -0,0 +1,139 @@ +[lichen@test]$ GeneralAgent +Enter twice to input end | 两次回车结束输入 +[input] +2023-10-06 11:56:04 _common.py[line:105] INFO _log_backoff Backing off send_request(...) for 0.8s (requests.exceptions.ConnectionError: HTTPSConnectionPool(host='app.posthog.com', port=443): Max retries exceeded with url: /batch/ (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x10c1e2b20>: Failed to establish a new connection: [Errno 8] nodename nor servname provided, or not known'))) +2023-10-06 11:56:05 _common.py[line:105] INFO _log_backoff Backing off send_request(...) for 0.4s (requests.exceptions.ConnectionError: HTTPSConnectionPool(host='app.posthog.com', port=443): Max retries exceeded with url: /batch/ (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x10c1e2ac0>: Failed to establish a new connection: [Errno 8] nodename nor servname provided, or not known'))) +2023-10-06 11:56:06 _common.py[line:105] INFO _log_backoff Backing off send_request(...) for 0.2s (requests.exceptions.ConnectionError: HTTPSConnectionPool(host='app.posthog.com', port=443): Max retries exceeded with url: /batch/ (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x10c1e2550>: Failed to establish a new connection: [Errno 8] nodename nor servname provided, or not known'))) +2023-10-06 11:56:06 _common.py[line:120] ERROR _log_giveup Giving up send_request(...) after 4 tries (requests.exceptions.ConnectionError: HTTPSConnectionPool(host='app.posthog.com', port=443): Max retries exceeded with url: /batch/ (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x10c1e2580>: Failed to establish a new connection: [Errno 8] nodename nor servname provided, or not known'))) +What date is today? Compare the year-to-date gain for META and TESLA. + +[output] +To get the current date, we can use the `datetime` module in Python. To compare the year-to-date gain for META and TESLA, we need to access the stock prices for both companies. We can use the `yfinance` library to get the stock prices. Here's the plan: + +1. Import the necessary modules and libraries. +2. Get the current date using the `datetime` module. +3. Use the `yfinance` library to get the year-to-date gain for META and TESLA. +4. Compare the year-to-date gain for both companies. + +Do you want me to write the code for you? +[input] +yes + +[output] +Here's the code: + +```python +import datetime +import yfinance as yf + +# Get the current date +now = datetime.datetime.now() + +# Get the year-to-date gain for META and TESLA +meta = yf.Ticker("META") +meta_ytd = meta.history(start=f"{now.year}-01-01")["Close"].iloc[-1] / meta.history(start=f"{now.year}-01-01")["Close"].iloc[0] - 1 + +tesla = yf.Ticker("TSLA") +tesla_ytd = tesla.history(start=f"{now.year}-01-01")["Close"].iloc[-1] / tesla.history(start=f"{now.year}-01-01")["Close"].iloc[0] - 1 + +# Compare the year-to-date gain for both companies +if meta_ytd > tesla_ytd: + print("META has a higher year-to-date gain than TESLA.") +elif meta_ytd < tesla_ytd: + print("TESLA has a higher year-to-date gain than META.") +else: + print("META and TESLA have the same year-to-date gain.") +``` + +2023-10-06 11:58:54 base.py[line:269] ERROR history TSLA: No price data found, symbol may be delisted (1d 2023-01-01 -> 2023-10-05) + +Traceback (most recent call last): + File "/Users/lichen/Documents/code/projects/GeneralAgent/GeneralAgent/interpreter/python_interpreter.py", line 90, in run_code + exec(code, self.globals) + File "<string>", line 17, in <module> + File "/opt/homebrew/lib/python3.9/site-packages/pandas/core/indexing.py", line 1073, in __getitem__ + return self._getitem_axis(maybe_callable, axis=axis) + File "/opt/homebrew/lib/python3.9/site-packages/pandas/core/indexing.py", line 1625, in _getitem_axis + self._validate_integer(key, axis) + File "/opt/homebrew/lib/python3.9/site-packages/pandas/core/indexing.py", line 1557, in _validate_integer + raise IndexError("single positional indexer is out-of-bounds") +IndexError: single positional indexer is out-of-bounds + +It looks like there was an error with the code. The error message suggests that the index used to access the stock prices is out of bounds. This could be because the `yfinance` library was unable to retrieve the stock prices for the specified date range. + +To fix this, we can add some error handling to the code. Here's an updated version of the code: + +```python +import datetime +import yfinance as yf + +# Get the current date +now = datetime.datetime.now() + +# Get the year-to-date gain for META and TESLA +meta = yf.Ticker("META") +try: + meta_ytd = meta.history(start=f"{now.year}-01-01")["Close"].iloc[-1] / meta.history(start=f"{now.year}-01-01")["Close"].iloc[0] - 1 +except: + meta_ytd = None + +tesla = yf.Ticker("TSLA") +try: + tesla_ytd = tesla.history(start=f"{now.year}-01-01")["Close"].iloc[-1] / tesla.history(start=f"{now.year}-01-01")["Close"].iloc[0] - 1 +except: + tesla_ytd = None + +# Compare the year-to-date gain for both companies +if meta_ytd is None or tesla_ytd is None: + print("Unable to retrieve stock prices.") +elif meta_ytd > tesla_ytd: + print("META has a higher year-to-date gain than TESLA.") +elif meta_ytd < tesla_ytd: + print("TESLA has a higher year-to-date gain than META.") +else: + print("META and TESLA have the same year-to-date gain.") +``` + +2023-10-06 11:59:23 base.py[line:269] ERROR history TSLA: No price data found, symbol may be delisted (1d 2023-01-01 -> 2023-10-05) + +Unable to retrieve stock prices. + +It looks like there was still an error with the code. The error message suggests that the `yfinance` library was unable to retrieve the stock prices for both companies. This could be because the ticker symbols are incorrect or because there was an issue with the internet connection. + +To fix this, we can add some error handling to the code and print out the error message if there is an issue with retrieving the stock prices. Here's an updated version of the code: + +```python +import datetime +import yfinance as yf + +# Get the current date +now = datetime.datetime.now() + +# Get the year-to-date gain for META and TESLA +try: + meta = yf.Ticker("META") + meta_ytd = meta.history(start=f"{now.year}-01-01")["Close"].iloc[-1] / meta.history(start=f"{now.year}-01-01")["Close"].iloc[0] - 1 +except Exception as e: + print(f"Error retrieving META stock prices: {e}") + meta_ytd = None + +try: + tesla = yf.Ticker("TSLA") + tesla_ytd = tesla.history(start=f"{now.year}-01-01")["Close"].iloc[-1] / tesla.history(start=f"{now.year}-01-01")["Close"].iloc[0] - 1 +except Exception as e: + print(f"Error retrieving TESLA stock prices: {e}") + tesla_ytd = None + +# Compare the year-to-date gain for both companies +if meta_ytd is None or tesla_ytd is None: + print("Unable to retrieve stock prices.") +elif meta_ytd > tesla_ytd: + print("META has a higher year-to-date gain than TESLA.") +elif meta_ytd < tesla_ytd: + print("TESLA has a higher year-to-date gain than META.") +else: + print("META and TESLA have the same year-to-date gain.") +``` +META has a higher year-to-date gain than TESLA. + +According to the code, META has a higher year-to-date gain than TESLA. Is there anything else I can help you with? \ No newline at end of file diff --git a/docs/develop/docker.md b/docs/develop/docker.md new file mode 100644 index 0000000000000000000000000000000000000000..c418cfadecfae40ded0130083ff6686dee44f36e --- /dev/null +++ b/docs/develop/docker.md @@ -0,0 +1,75 @@ +# Work with docker + +## Build + +```bash +# setting +docker buildx create --use + +# build base image +docker buildx build --platform linux/amd64,linux/arm64 -f ./docker/Dockerfile_base -t cosmosshadow/general-agent-base:0.0.2 . --push + +# build web +cd webui/web && npm run build && cd ../../ + +# build general-agent with amd64 and arm64 +docker buildx build --platform linux/amd64,linux/arm64 -f ./docker/Dockerfile -t cosmosshadow/general-agent:0.0.9 . --push +docker buildx build --platform linux/amd64,linux/arm64 -f ./docker/Dockerfile -t cosmosshadow/general-agent:latest . --push + +# build general-agent-local +docker build -f ./docker/Dockerfile -t cosmosshadow/general-agent-local:0.0.5 . +``` + +## Develop +```bash +# run docker +docker run \ +-p 3000:3000 \ +-p 7777:7777 \ +--name=agent \ +--privileged=true \ +-v `pwd`:/workspace \ +--rm=true \ +-it cosmosshadow/general-agent:0.0.5 /bin/bash + +# run server +export $(grep -v '^#' /workspace/.env | sed 's/^export //g' | xargs) +cd /workspace/webui/server/server +uvicorn app:app --host 0.0.0.0 --port 7777 + +# run web +docker exec -it agent /bin/bash +cd /workspace/webui/web +# develop +npm run start +# or serve +serve -s build +``` + +## Run + +```bash +# Run with .env file +docker run \ +-p 3000:3000 \ +-p 7777:7777 \ +-v `pwd`/.env:/workspace/.env \ +-v `pwd`/data:/workspace/data \ +--name=agent \ +--privileged=true \ +-d cosmosshadow/general-agent:0.0.5 + +# RUN with ENV +docker run \ +--platform linux/amd64 \ +-p 3000:3000 \ +-p 7777:7777 \ +-E "OPENAI_API_KEY=xxxx" \ +-v `pwd`/data:/workspace/data \ +--name=agent \ +--privileged=true \ +-d cosmosshadow/general-agent:0.0.5 + +# Stop +docker stop agent && docker rm agent +``` \ No newline at end of file diff --git a/docs/develop/package.md b/docs/develop/package.md new file mode 100644 index 0000000000000000000000000000000000000000..b2b8faef673ad321aec7cc5ea29dd3090540e297 --- /dev/null +++ b/docs/develop/package.md @@ -0,0 +1,17 @@ +# 初始化环境(新) +```bash +# 创建环境 +conda create -n GeneralAgent python=3.8 +# 激活环境 +conda activate GeneralAgent +# 安装poetry +pip install poetry +# 安装依赖 +poetry install +# 添加新依赖 +poetry add 依赖包 +# 打包 +poetry build -f 指定格式 wheel或sdist +# 发布包 +poetry publish -u 用户名 -p 密码 +``` diff --git a/docs/develop/test_publish.md b/docs/develop/test_publish.md new file mode 100644 index 0000000000000000000000000000000000000000..c43c25b456d5be6d92fbfdee090a08b3cd6595e8 --- /dev/null +++ b/docs/develop/test_publish.md @@ -0,0 +1,15 @@ +# scripts + +```bash +# 测试 +./scripts/test.sh +# 查看测试结果 +docker logs agent + +# 修改版本 +# pyproject.toml +# publish.sh + +# 发布 +./scripts/publish.sh +``` \ No newline at 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mode 100644 index 0000000000000000000000000000000000000000..2abd2836835813cd8827a56322b2426f9f96e224 --- /dev/null +++ b/examples/custom_interpter.py @@ -0,0 +1,38 @@ + +import re +import asyncio +from GeneralAgent.agent import Agent +from GeneralAgent.interpreter import Interpreter, RoleInterpreter +from GeneralAgent.utils import confirm_to_run + +python_prompt = """ +# Run python +* format is : ```python\\nthe_code\\n``` +* the code will be executed +* python version is 3.9 +""" + +class CustomPythonInterpreter(Interpreter): + input_match_pattern = None + output_match_start_pattern = '```python\n' + output_match_pattern = '```python\n(.*?)\n```' + + def parse(self, string) -> (str, bool): + pattern = re.compile(self.match_template, re.DOTALL) + code = pattern.search(string).group(1) + if confirm_to_run(): + exec(code) + return '' , False + + def prompt(self, messages) -> str: + return python_prompt + +async def main(): + agent = Agent() + agent.interpreters = [RoleInterpreter(), CustomPythonInterpreter()] + while True: + input_content = input('>>>') + await agent.run(input_content) + +if __name__ == '__main__': + asyncio.run(main()) \ No newline at end of file diff --git a/examples/custom_output.py b/examples/custom_output.py new file mode 100644 index 0000000000000000000000000000000000000000..208b4ad6f95b27ea89ab46e9980b925a595ff86a --- /dev/null +++ b/examples/custom_output.py @@ -0,0 +1,18 @@ + +import asyncio +from GeneralAgent.agent import Agent + +async def custom_output(token): + if token is None: + print('[output end]') + else: + print(token, end='', flush=True) + +async def main(): + agent = Agent.default() + while True: + input_content = input('>>>') + await agent.run(input_content, output_callback=custom_output) + +if __name__ == '__main__': + asyncio.run(main()) \ No newline at end of file diff --git a/examples/custom_role_prompt.py b/examples/custom_role_prompt.py new file mode 100644 index 0000000000000000000000000000000000000000..e568c9032e216a1d2c4c5ca3d502fabb60c4efcf --- /dev/null +++ b/examples/custom_role_prompt.py @@ -0,0 +1,20 @@ +import asyncio +from GeneralAgent.agent import Agent +from GeneralAgent.interpreter import RoleInterpreter + +role_prompt = """ +You are GeneralAgent, a agent on the computer to help the user solve the problem. +Remember, you can control the computer and access the internet. +Solve the task step by step if you need to. If a plan is not provided, explain your plan first simply and clearly. +You can use the following skills to help you solve the problem directly without explain and ask for permission: +""" + +async def main(): + agent = Agent() + agent.interpreters = [RoleInterpreter(system_prompt=role_prompt)] + while True: + input_content = input('>>>') + await agent.run(input_content) + +if __name__ == '__main__': + asyncio.run(main()) \ No newline at end of file diff --git a/examples/default_agent.py b/examples/default_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..2beefe39521c97f4127f5afb63c929fab104dae8 --- /dev/null +++ b/examples/default_agent.py @@ -0,0 +1,12 @@ +import asyncio +from GeneralAgent.agent import Agent + +async def main(): + workspace = './' + agent = Agent.default(workspace) + while True: + input_content = input('>>>') + await agent.run(input_content) + +if __name__ == '__main__': + asyncio.run(main()) \ No newline at end of file diff --git a/examples/empty_agent.py b/examples/empty_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..5f1398caf5a986a13700852ba59543ee4bba60c2 --- /dev/null +++ b/examples/empty_agent.py @@ -0,0 +1,11 @@ +import asyncio +from GeneralAgent.agent import Agent + +async def main(): + agent = Agent.empty() + while True: + input_content = input('>>>') + await agent.run(input_content) + +if __name__ == '__main__': + asyncio.run(main()) \ No newline at end of file diff --git a/examples/multi_lines_input.py b/examples/multi_lines_input.py new file mode 100644 index 0000000000000000000000000000000000000000..fa7405af22473232a3f61b83fdd4d9d05b0d28ac --- /dev/null +++ b/examples/multi_lines_input.py @@ -0,0 +1,20 @@ +import os, sys +import asyncio +from GeneralAgent.agent import Agent +from GeneralAgent.utils import default_get_input + +async def main(workspace): + if not os.path.exists(workspace): + os.mkdir(workspace) + agent = Agent.default(workspace=workspace) + print('Enter twice to input end | 两次回车结束输入') + while True: + input_content = default_get_input() + print('[output]\n', end='', flush=True) + await agent.run(input_content) + +if __name__ == '__main__': + workspace = './multi_lines_input' + if len(sys.argv) > 1: + workspace = sys.argv[1] + asyncio.run(main(workspace)) \ No newline at end of file diff --git a/examples/serialize_demo.py b/examples/serialize_demo.py new file mode 100644 index 0000000000000000000000000000000000000000..1519053ca32b764c854d3d1b92510ef86809aa95 --- /dev/null +++ b/examples/serialize_demo.py @@ -0,0 +1,14 @@ +import asyncio +from GeneralAgent.agent import Agent + +async def main(): + agent = Agent.default(workspace='./test') + await agent.run('Hi, My Name is Chen Li') + + agent = None + agent = Agent.default(workspace='./test') + await agent.run('What is my Name?') + # expect to output Chen Li + +if __name__ == '__main__': + asyncio.run(main()) \ No newline at end of file diff --git a/examples/with_functions.py 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+[tool.poetry] +name = "GeneralAgent" +version = "0.0.14" +description = "General Agent: From LLM to Agent" +authors = ["Chen Li <lichenarthurdata@gmail.com>"] +license = "Apache 2.0" +readme = "README.md" +repository = "https://github.com/CosmosShadow/GeneralAgent" +packages = [ + { include = "GeneralAgent" }, +] + +[tool.poetry.dependencies] +python = "^3.8" +fastapi = "0.104.1" +requests = "2.31.0" +tinydb = "4.8.0" +openai = "1.3.3" +litellm = "^1.7.5" +jinja2 = "3.1.2" +numpy = "1.24.4" +bs4 = "0.0.1" +playwright = "1.39.0" +retrying = "1.3.4" +pymupdf = "1.23.6" +python-pptx = "0.6.23" +python-docx = "1.1.0" +yfinance = "0.2.31" +beautifulsoup4 = "4.12.2" +python-dotenv = "1.0.0" +uvicorn = "0.24.0.post1" +tiktoken = "0.5.1" +httpx = "0.24.0" +pulsar-client = "3.3.0" +pymongo = "4.6.0" +websocket-client-py3 = "0.15.0" +websockets = "12.0" +pypdf = "3.17.1" +replicate = "0.18.1" +edge-tts = "6.1.9" +pydub = "0.25.1" +chromadb = "0.4.17" +python-multipart = "0.0.6" +pytest = "7.4.3" +pytest-asyncio = "0.21.1" +pydantic = '2.5.1' + + +[tool.poetry.group.dev.dependencies] +pytest = "^7.4.3" +pytest-asyncio = "^0.21.1" + + +[[tool.poetry.source]] +name = "PyPI" +priority="primary" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + + +[tool.poetry.scripts] +GeneralAgent= 'GeneralAgent.cli:main' \ No newline at end of file diff --git a/scripts/auto_test.sh b/scripts/auto_test.sh new file mode 100644 index 0000000000000000000000000000000000000000..04bf5c77852c0d99410845212533d01abb87746c --- /dev/null +++ b/scripts/auto_test.sh @@ -0,0 +1,28 @@ +# docker自动测试脚本，给docker用的，非人工操作 + +# load env +if [ -f /workspace/.env ]; then + export $(grep -v '^#' /workspace/.env | sed 's/^export //g' | xargs) +fi + +# start server +cd /workspace/webui/server/server +poetry run uvicorn app:app --host 0.0.0.0 --port 7777 > /dev/null 2>&1 & + +# start web +cd /workspace/webui/web +nohup serve -s build & + +export LLM_CACHE='yes' + +# test GeneralAgent +cd /workspace/GeneralAgent +poetry run pytest -s -v + +# global unit test +cd /workspace/test +poetry run pytest -s -v + +# test server +cd /workspace/webui/server/test +poetry run pytest -s -v \ No newline at end of file diff --git a/scripts/publish.sh b/scripts/publish.sh new file mode 100644 index 0000000000000000000000000000000000000000..b82bc165b988f939388e9794a8262fbf312e94ba --- /dev/null +++ b/scripts/publish.sh @@ -0,0 +1,10 @@ +# 发布版本: pip & docker + +# pip +poetry build -f sdist +poetry publish -u lichen -p $PYPI_PASSWORD + +# docker +cd webui/web && npm run build && cd ../../ +docker buildx build --platform linux/amd64,linux/arm64 -f ./docker/Dockerfile -t cosmosshadow/general-agent:0.0.14 . --push +docker buildx build --platform linux/amd64,linux/arm64 -f ./docker/Dockerfile -t cosmosshadow/general-agent:latest . --push \ No newline at end of file diff --git a/scripts/test.sh b/scripts/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..064c825c91072913db0d4a9e5b9de29ab29f49a2 --- /dev/null +++ b/scripts/test.sh @@ -0,0 +1,23 @@ +# 测试 + +# 编译web前端 +cd webui/web && npm run build && cd ../../ + +# 打包测试镜像 +docker build -f ./docker/Dockerfile -t cosmosshadow/general-agent:test . + +# 停止可能运行镜像 +docker stop agent && docker rm agent + +# 测试: 启动docker服务 & 映射单元测试代码 & 映射启动脚本 & 自动测试 +docker run \ +-p 3000:3000 \ +-p 7777:7777 \ +-v `pwd`/.env:/workspace/.env \ +-v `pwd`/data:/workspace/data \ +-v `pwd`/test:/workspace/test \ +-v `pwd`/webui/server/test:/workspace/webui/server/test \ +-v `pwd`/scripts/auto_test.sh:/workspace/start.sh \ +--name=agent \ +--privileged=true \ +-d cosmosshadow/general-agent:test \ No newline at end of file diff --git a/start.sh b/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..ec61f45e792a8b360323cdd14487a646ebd24f67 --- /dev/null +++ b/start.sh @@ -0,0 +1,11 @@ +# load env +if [ -f /workspace/.env ]; then + export $(grep -v '^#' /workspace/.env | sed 's/^export //g' | xargs) +fi + +cd /workspace/webui/server/server +# poetry shell, python app.py +poetry run uvicorn app:app --host 0.0.0.0 --port 7777 > /dev/null 2>&1 & + +cd /workspace/webui/web +serve -s build \ No newline at end of file diff --git a/test/data/.gitkeep b/test/data/.gitkeep new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/test/data/Nougat.pdf b/test/data/Nougat.pdf new file mode 100644 index 0000000000000000000000000000000000000000..c92655b3ba4154ae2958538aa1581f0f9fd98dcf --- /dev/null +++ b/test/data/Nougat.pdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:679be336ce8010d3dc86b9530f0a30d4d5ea2a13153c6f274601b40f4382745b +size 4133781 diff --git a/test/data/Nougat_piece.pdf b/test/data/Nougat_piece.pdf new file mode 100644 index 0000000000000000000000000000000000000000..5a52a5ebb950dd442426502abc1914e3c2666c25 Binary files /dev/null and b/test/data/Nougat_piece.pdf differ diff --git a/test/data/a.py b/test/data/a.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/test/data/hello.py b/test/data/hello.py new file mode 100644 index 0000000000000000000000000000000000000000..00950d9ac57ceeabf45f9120c2615199746d35fb --- /dev/null +++ b/test/data/hello.py @@ -0,0 +1 @@ +print('hello world') \ No newline at end of file diff --git a/test/pytest.ini b/test/pytest.ini new file mode 100644 index 0000000000000000000000000000000000000000..6b0f814749d28c00ddb5331ada4ae830be8c1e31 --- /dev/null +++ b/test/pytest.ini @@ -0,0 +1,3 @@ +[pytest] +markers = + asyncio: asyncio mark \ No newline at end of file diff --git a/test/test_interpreter_applescript.py b/test/test_interpreter_applescript.py new file mode 100644 index 0000000000000000000000000000000000000000..da6dfd9f865858b91b351cab85a385bd3f7a5c09 --- /dev/null +++ b/test/test_interpreter_applescript.py @@ -0,0 +1,31 @@ +import pytest +import asyncio +from GeneralAgent.interpreter import AppleScriptInterpreter + +def test_match(): + content = """```\napplescript\nxxxx\n```""" + interpreter = AppleScriptInterpreter() + assert interpreter.output_match(content) + + +@pytest.mark.asyncio +async def test_open_url(): + import platform + system = platform.system() + if system != 'Darwin': + return + interpreter = AppleScriptInterpreter() + content = """```applescript +tell application "Safari" + activate + open location "https://www.google.com" +end tell +```""" + output, is_stop = await interpreter.output_parse(content) + assert is_stop is False + assert output.strip() == 'run successfully' + + +if __name__ == '__main__': + test_match() + asyncio.run(test_open_url()) \ No newline at end of file diff --git a/test/test_interpreter_async_python.py b/test/test_interpreter_async_python.py new file mode 100644 index 0000000000000000000000000000000000000000..86684935e5ac0d07c7670b59fe4c55620cbe3c9a --- /dev/null +++ b/test/test_interpreter_async_python.py @@ -0,0 +1,73 @@ +import os +import pytest +import asyncio +from GeneralAgent.interpreter import AsyncPythonInterpreter + + + +@pytest.mark.asyncio +async def test_async_python_interpreter(): + serialize_path = './data/serialized.bin' + if os.path.exists(serialize_path): + os.remove(serialize_path) + code1 = """ +a = 1 +await asyncio.sleep(0.5) +""" + code2 = """ +a += 1 +""" + python_interpreter = AsyncPythonInterpreter(serialize_path=serialize_path) + await python_interpreter.run_code(code1) + value = python_interpreter.get_variable('a') + assert value == 1 + + python_interpreter = None + python_interpreter = AsyncPythonInterpreter(serialize_path=serialize_path) + await python_interpreter.run_code(code2) + value = python_interpreter.get_variable('a') + assert value == 2 + + if os.path.exists(serialize_path): + os.remove(serialize_path) + +# +@pytest.mark.asyncio +async def test_with_async_tools(): + serialize_path = './data/serialized.bin' + if os.path.exists(serialize_path): + os.remove(serialize_path) + code1 = """ +a = 1 +await asyncio.sleep(0.5) +""" + code2 = """ +a = await increase(a) +""" + + async def increase(x): + await asyncio.sleep(0.5) + print(f'increase called with parameter: x={x}') + return x + 1 + + python_interpreter = AsyncPythonInterpreter(serialize_path=serialize_path) + python_interpreter.function_tools = [increase] + await python_interpreter.run_code(code1) + value = python_interpreter.get_variable('a') + assert value == 1 + + python_interpreter = None + python_interpreter = AsyncPythonInterpreter(serialize_path=serialize_path) + python_interpreter.function_tools = [increase] + sys_out = await python_interpreter.run_code(code2) + value = python_interpreter.get_variable('a') + assert value == 2 + assert 'increase called with parameter: x=' in sys_out + + if os.path.exists(serialize_path): + os.remove(serialize_path) + + +if __name__ == '__main__': + # asyncio.run(test_async_python_interpreter()) + asyncio.run(test_with_async_tools()) \ No newline at end of file diff --git a/test/test_interpreter_bash.py b/test/test_interpreter_bash.py new file mode 100644 index 0000000000000000000000000000000000000000..4c8d60c1979e007472679493a4da12b16221ab6d --- /dev/null +++ b/test/test_interpreter_bash.py @@ -0,0 +1,13 @@ +import pytest +import asyncio +from GeneralAgent.interpreter import ShellInterpreter + +@pytest.mark.asyncio +async def test_bash_interperter(): + interpreter = ShellInterpreter() + output, is_stop = await interpreter.output_parse("""```shell\npython ./data/hello.py\n```""") + assert 'hello world' in output + assert is_stop is False + +if __name__ == '__main__': + asyncio.run(test_bash_interperter()) \ No newline at end of file diff --git a/test/test_interpreter_file.py b/test/test_interpreter_file.py new file mode 100644 index 0000000000000000000000000000000000000000..b9dfbf49339372f20e61d042ea13a2d7e6408fec --- /dev/null +++ b/test/test_interpreter_file.py @@ -0,0 +1,63 @@ +import pytest +import asyncio +from GeneralAgent.interpreter import FileInterpreter + + +def test_parse_command(): + contents = [ + """```\nfile a.txt write 0 -1 <<EOF\nhello world\nEOF```""", + """```\nfile a.txt write 0 -1 <<EOF\nhello world\n```""", + """```file a.txt write 0 -1 <<EOF\nhello world\nEOF```""", + """```file a.txt write 0 -1 <<EOF\nhello world\n```""", + ] + interperter = FileInterpreter() + for content in contents: + file_path, operation, start_line, end_line, content = interperter._parse_commands(content) + assert file_path == 'a.txt' + assert operation == 'write' + assert start_line == 0 + assert end_line == -1 + assert content == 'hello world' + +@pytest.mark.asyncio +async def test_write_read(): + import os + interpreter = FileInterpreter() + target_path = './data/a.txt' + if os.path.exists(target_path): + os.remove(target_path) + + # write + write_content = """ +To write the description of Chengdu to the file %s in one step, you can use the following command: + +``` +file %s write 0 -1 <<EOF +Chengdu is a sub-provincial city which serves as the capital of Sichuan province. It is one of the three most populous cities in Western China, the other two being Chongqing and Xi'an. As of 2021, the administrative area of Chengdu has a population of over 16 million. Chengdu is famous for its spicy Sichuan cuisine, giant pandas, and historical and cultural heritage. It is also an important transportation hub and a center for science and technology in Western China. +EOF +``` + +""" % (target_path, target_path) + assert interpreter.output_match(write_content) is True + output, is_stop = await interpreter.output_parse(write_content) + assert is_stop is True + assert 'successfully' in output.strip() + assert os.path.exists(target_path) + + # read + read_content = """ +firsrt, read the file. +``` +file %s read 0 -1 +``` +""" % (target_path, ) + assert interpreter.output_match(read_content) is True + output, is_stop = await interpreter.output_parse(read_content) + assert is_stop is True + assert 'Chengdu is a sub-provincial city' in output + + +if __name__ == '__main__': + # test_parse_command() + # test_write_read() + pass \ No newline at end of file diff --git a/test/test_interpreter_plan.py b/test/test_interpreter_plan.py new file mode 100644 index 0000000000000000000000000000000000000000..aca0c2c70587432cf74c4e9b6580ea9462a3be8e --- /dev/null +++ b/test/test_interpreter_plan.py @@ -0,0 +1,57 @@ +import os +import pytest +import asyncio +from GeneralAgent.interpreter import PlanInterpreter +from GeneralAgent.memory import StackMemory, StackMemoryNode + + +def test_structure_plan(): + content = """ +1.xxx + 1.1 xxx + +2.xxx + +""" + plan_dict = PlanInterpreter._structure_plan(content) + assert len(plan_dict) == 2 + key0 = list(plan_dict.keys())[0] + key1 = list(plan_dict.keys())[1] + assert key0 == '1.xxx' + assert len(plan_dict[key0]) == 1 + assert len(plan_dict[key1]) == 0 + +@pytest.mark.asyncio +async def test_plan_interpreter(): + serialize_path = './data/plan_memory.json' + if os.path.exists(serialize_path): os.remove(serialize_path) + memory = StackMemory(serialize_path) + node = StackMemoryNode('user', 'input', content='hello world') + memory.add_node(node) + memory.set_current_node(node) + interpreter = PlanInterpreter(memory, max_plan_depth=4) + content = """ +```runplan +1.xxx + 1.1 xxx + +2.xxx + +``` +""" + output, is_stop = await interpreter.input_parse(content) + assert output == content + assert is_stop is False + assert memory.node_count() == 4 + + + + +if __name__ == '__main__': + # test_python_interpreter() + # test_bash_interperter() + # test_applescript_interpreter() + # test_file_interpreter_old() + # test_structure_plan() + test_plan_interpreter() + # test_ask_interpreter() \ No newline at end of file diff --git a/test/test_interpreter_read.py b/test/test_interpreter_read.py new file mode 100644 index 0000000000000000000000000000000000000000..77aaae0f74887c53878b2c2403d8b7ff8f61f7dd --- /dev/null +++ b/test/test_interpreter_read.py @@ -0,0 +1,34 @@ +import shutil +import pytest +import asyncio +from GeneralAgent.interpreter import EmbeddingRetrieveInterperter + + +@pytest.mark.asyncio +async def test_read_interpreter(): + import os + workspace = './data/read_interpreter/' + content = """ +```read +./data/Nougat_piece.pdf +``` +""" + if os.path.exists(workspace): + shutil.rmtree(workspace) + + interpreter = EmbeddingRetrieveInterperter(serialize_path=workspace) + await interpreter.input_parse(content) + + messages = [ + {'role': 'system', 'content': 'what is the advantage of the Model?'} + ] + prompt = await interpreter.prompt(messages) + # print(prompt) + assert len(prompt) > 0 + + if os.path.exists(workspace): + shutil.rmtree(workspace) + + +if __name__ == '__main__': + test_read_interpreter() diff --git a/test/test_interpreter_sync_python.py b/test/test_interpreter_sync_python.py new file mode 100644 index 0000000000000000000000000000000000000000..ed5a9b2898fca373ddd2ae5fe7a089c2ca256a52 --- /dev/null +++ b/test/test_interpreter_sync_python.py @@ -0,0 +1,34 @@ +import os +import pytest +import asyncio +from GeneralAgent.interpreter import SyncPythonInterpreter + + +@pytest.mark.asyncio +async def test_python_interpreter(): + # test add print + code = """ +x = a + b +x""" + code = SyncPythonInterpreter.add_print(code) + print(code) + assert code.strip() == """ +x = a + b +print(x)""".strip() + # test run + serialize_path = './data/test_interpreter.bin' + if os.path.exists(serialize_path): os.remove(serialize_path) + + interpreter = SyncPythonInterpreter(serialize_path) + sys_stdout, is_stop = await interpreter.output_parse('```python\nprint("hello world")\n```') + assert 'hello world' in sys_stdout.strip() + assert is_stop is False + + interpreter.set_variable('a', 10) + sys_stdout, is_stop = await interpreter.output_parse('```python\na += 1\n```') + a = interpreter.get_variable('a') + assert a == 11 + + sys_stdout, is_stop = await interpreter.output_parse('```python\na += 1\n```') + a = interpreter.get_variable('a') + assert a == 12 \ No newline at end of file diff --git a/test/test_link_memory.py b/test/test_link_memory.py new file mode 100644 index 0000000000000000000000000000000000000000..14084e5cc40911790bc329ac6bb2e2e2279cc2d4 --- /dev/null +++ b/test/test_link_memory.py @@ -0,0 +1,37 @@ +import os +import fitz +import pytest +import asyncio +from GeneralAgent.memory import LinkMemory +from GeneralAgent.utils import default_output_callback +from GeneralAgent.utils import set_logging_level +set_logging_level() + + +@pytest.mark.asyncio +async def test_read_paper(): + serialize_path = './summary_memory.json' + if os.path.exists(serialize_path): + os.remove(serialize_path) + memory = LinkMemory(serialize_path=serialize_path) + file_path = './data/Nougat_piece.pdf' + doc = fitz.open(file_path) + content = '' + for page in doc: + content += '\n' + page.get_text() + new_content = await memory.add_memory(content, output_callback=None) + # new_content = await memory.add_memory(content, output_callback=default_output_callback) + spark = await memory.get_memory() + # print(f'-----------\n{spark}\n-----------') + assert '<<Introduction>>' in spark + + messages = [ + {'role': 'user', 'content': '论文有哪些贡献?'}, + ] + spark = await memory.get_memory(messages) + print(f'-----------\n{spark}\n-----------') + assert 'pdf' in spark.lower() + + +if __name__ == '__main__': + asyncio.run(test_read_paper()) \ No newline at end of file diff --git a/test/test_llm.py b/test/test_llm.py new file mode 100644 index 0000000000000000000000000000000000000000..2d3d46794f159d13b977aecb795e9f8f10b3a9f4 --- /dev/null +++ b/test/test_llm.py @@ -0,0 +1,12 @@ +# 测试llm +from GeneralAgent.utils import set_logging_level +set_logging_level() + + + + + +if __name__ == '__main__': + test_embedding_fun() + test_llm_inference() + test_llm_inference_break() \ No newline at end of file diff --git a/test/test_normal_agent.py b/test/test_normal_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..d5474fcbb1152a899c9e9e87e9733482aa0124ff --- /dev/null +++ b/test/test_normal_agent.py @@ -0,0 +1,137 @@ +import os +import pytest +import shutil +import asyncio +from GeneralAgent.agent import NormalAgent +from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter +from GeneralAgent.utils import set_logging_level +set_logging_level() + + +workspace = './data/test_workspace' + +result = '' + +def get_output_callback(): + async def _output_callback(token): + if token is not None: + global result + result += token + print(token, end='', flush=True) + return _output_callback + + +@pytest.mark.asyncio +async def test_math(): + global result + result = '' + if os.path.exists(workspace): shutil.rmtree(workspace) + agent = NormalAgent.default(workspace=workspace) + await agent.run('calculate 0.99 ** 1000', output_callback=get_output_callback()) + count = 3 + while count > 0: + if '3171' in result: + break + count -= 1 + await agent.run('OK', output_callback=get_output_callback()) + assert '3171' in result + +@pytest.mark.asyncio +async def test_write_file(): + global result + result = '' + target_path = './data/a.txt' + if os.path.exists(target_path): + os.remove(target_path) + if os.path.exists(workspace): shutil.rmtree(workspace) + agent = NormalAgent.default(workspace=workspace) + agent.model_type = 'smart' + await agent.run('Write the description of Chengdu to the file ./data/a.txt. You shoud provide the description', output_callback=get_output_callback()) + for index in range(2): + # print('-' * 100) + # print(index) + # print('-' * 100) + if os.path.exists(target_path): + break + await agent.run('OK', output_callback=get_output_callback()) + assert os.path.exists(target_path) + with open(target_path, 'r') as f: + content = f.read() + assert 'Chengdu' in content + if os.path.exists(target_path): + os.remove(target_path) + +@pytest.mark.asyncio +async def test_read_file(): + global result + result = '' + content = """Chengdu, the capital of China's southwest Sichuan Province, is famed for being the home of cute giant pandas. Apart from the Panda Research base, Chengdu has a lot of other attractions. It is known for its spicy Sichuan cuisine and ancient history, including the site of the ancient Jinsha civilization and the Three Kingdoms-era Wuhou Shrine. The city also features beautiful natural landscapes such as Mount Qingcheng and the Dujiangyan Irrigation System, both UNESCO World Heritage Sites.""" + target_path = './data/b.txt' + if os.path.exists(target_path): + os.remove(target_path) + with open(target_path, 'w') as f: + f.write(content) + if os.path.exists(workspace): shutil.rmtree(workspace) + agent = NormalAgent.default(workspace=workspace) + memory_node_id = await agent.run('what is in ./data/b.txt', output_callback=get_output_callback()) + for _ in range(2): + if 'Mount Qingcheng' in result: + break + await agent.run('OK', output_callback=get_output_callback()) + assert 'Mount Qingcheng' in result + assert memory_node_id == None + if os.path.exists(target_path): + os.remove(target_path) + +# @pytest.mark.asyncio +# async def test_functions(): +# global result +# result = '' +# if os.path.exists(workspace): shutil.rmtree(workspace) +# os.mkdir(workspace) +# serialize_path = f'{workspace}/code.bin' +# python_interpreter = PythonInterpreter(serialize_path=serialize_path) +# from GeneralAgent import skills +# python_interpreter.function_tools = [skills.scrape_web] +# agent = NormalAgent(workspace=workspace) +# agent.interpreters=[RoleInterpreter(), python_interpreter] +# await agent.run("what's the tiltle of web page https://www.baidu.com ?", output_callback=get_output_callback()) +# for _ in range(2): +# await agent.run('OK', output_callback=get_output_callback()) +# assert '百度' in result +# assert os.path.exists(serialize_path) +# shutil.rmtree(workspace) + + +def get_weather(city:str): + """ + get weather from city + """ + state = 'weather is good, sunny.' + print(state) + return state + +@pytest.mark.asyncio +async def test_functions(): + global result + result = '' + if os.path.exists(workspace): shutil.rmtree(workspace) + os.mkdir(workspace) + agent = NormalAgent.with_functions([get_weather], workspace=workspace) + agent.hide_output_parse = False + await agent.run("what's the weather of Chengdu ?", output_callback=get_output_callback()) + for _ in range(2): + if 'sunny' in result: + break + await agent.run('OK', output_callback=get_output_callback()) + assert 'good, sunny' in result + # assert os.path.exists(serialize_path) + shutil.rmtree(workspace) + + + +if __name__ == '__main__': + # asyncio.run(test_math()) + # asyncio.run(test_write_file()) + # asyncio.run(test_read_file()) + asyncio.run(test_functions()) \ No newline at end of file diff --git a/test/test_skills/test_agent_builder_2.py b/test/test_skills/test_agent_builder_2.py new file mode 100644 index 0000000000000000000000000000000000000000..ea25772faa4e0d7abd96023a449cb2b1af357adb --- /dev/null +++ b/test/test_skills/test_agent_builder_2.py @@ -0,0 +1,24 @@ + +task = '做一个翻译软件的界面，包括上传文件和选择翻译的语言，语言包括: 英文、中文、日文，默认英文。上传文件后，可以选择翻译的语言，然后点击翻译按钮，文件地址和翻译的语言会传给后端。' + +def test__llm_write_ui_lib(): + from GeneralAgent.skills.agent_builder_2 import _llm_write_ui_lib + code = _llm_write_ui_lib('LibTemplate', task) + # print(code) + assert 'antd' in code + + +def test_create_application_ui(): + from GeneralAgent import skills + lib_name = 'LibTest' + lib_name, js_path, code = skills.create_application_ui(task, component_name=lib_name) + # 验证js文件存在 + import os + js_path = os.path.join(skills.get_code_dir(), js_path) + assert os.path.exists(js_path) + assert lib_name in js_path + + +if __name__ == '__main__': + test__llm_write_ui_lib() + test_create_application_ui() \ No newline at end of file diff --git a/test/test_skills/test_application_builder.py b/test/test_skills/test_application_builder.py new file mode 100644 index 0000000000000000000000000000000000000000..5b59c400b181196edfd60aad2ec35079c9cea533 --- /dev/null +++ b/test/test_skills/test_application_builder.py @@ -0,0 +1,58 @@ + + +def test_edit_normal_function(): + from GeneralAgent import skills + fun_name = 'random_big_value' + task = "返回一个1到1千万间的随机数" + code = skills.edit_normal_function(fun_name, task) + # print(code) + # assert '10000000' in code + assert fun_name in code + +def test_application_code_generation(): + from GeneralAgent import skills + task = "读取用户上传的文件内容，并返回文件内容" + code = skills.application_code_generation(task) + # print(code) + assert 'skills.read_file_content' in code + +def test_search_functions(): + from GeneralAgent import skills + result = skills.search_functions('translate text') + print(result) + assert 'skills.translate_text' in result + result = skills.search_functions('翻译') + assert 'skills.translate_text' in result + print(result) + +def test_edit_llm_function(): + from GeneralAgent import skills + function_name = 'translate_text_test' + signature = skills.edit_llm_function(function_name, 'Translate text of any length into the specified language.') + print(signature) + assert signature.startswith('skills.') + assert function_name in signature + skills.delete_function(function_name) + + +# def test_install_application(): +# import os +# from GeneralAgent import skills +# code_dir = skills.get_code_dir() +# if os.path.exists(code_dir): +# import shutil +# shutil.rmtree(code_dir) +# os.mkdir(code_dir) +# task = "读取用户上传的文件内容，并返回文件内容" +# skills.create_application(task) +# application_id = 'test_application_id' +# application_name = '读取文件' +# description = '读取用户上传的文件内容，并返回文件内容' +# skills.install_application(application_id, application_name, description, upload_file='yes') + +if __name__ == '__main__': + test_edit_normal_function() + # test_application_code_generation() + # test_install_application() + # test_edit_llm_function() + # test_search_functions() \ No newline at end of file diff --git a/test/test_skills/test_build_web.py b/test/test_skills/test_build_web.py new file mode 100644 index 0000000000000000000000000000000000000000..a161248f7bf1a9b5e78ee6779422719c0d55a28c --- /dev/null +++ b/test/test_skills/test_build_web.py @@ -0,0 +1,96 @@ + + +code = """ +const React = (window as any).React; +const antd = (window as any).antd; + +const MyLibrary = () => { + const { Form, Input, Button, Modal } = antd; + const [visible, setVisible] = React.useState(false); + const [summary, setSummary] = React.useState(''); + + const onFinish = (values: any) => { + const { name, address, phone } = values; + const summary = `姓名: ${name}\n家庭住址: ${address}\n手机号: ${phone}`; + setSummary(summary); + setVisible(true); + }; + + const handleOk = () => { + setVisible(false); + }; + + const handleCancel = () => { + setVisible(false); + }; + + return ( + <div> + <Form onFinish={onFinish}> + <Form.Item + label="姓名" + name="name" + rules={[{ required: true, message: '请输入姓名' }]} + > + <Input /> + </Form.Item> + + <Form.Item + label="家庭住址" + name="address" + rules={[{ required: true, message: '请输入家庭住址' }]} + > + <Input /> + </Form.Item> + + <Form.Item + label="手机号" + name="phone" + rules={[{ required: true, message: '请输入手机号' }]} + > + <Input /> + </Form.Item> + + <Form.Item> + <Button type="primary" htmlType="submit"> + 提交 + </Button> + </Form.Item> + </Form> + + <Modal + title="提交内容概要" + visible={visible} + onOk={handleOk} + onCancel={handleCancel} + > + <p>{summary}</p> + </Modal> + </div> + ); + }; + +export default MyLibrary; +""" + +def test_compile_tsx(): + from GeneralAgent import skills + lib_name = 'LibTest' + target_dir = './data/ui/' + success = skills.compile_tsx(lib_name, code, target_dir) + assert success + +def test_create_ui(): + from GeneralAgent import skills + task = "用户输入姓名、家庭住址、手机号的表单，并且点击提交的时候，弹窗显示" + lib_name = 'LibTest' + target_dir = './data/ui/' + lib_name, js_path = skills.create_ui(task, ui_dir=target_dir, component_name=lib_name) + import os + assert os.path.exists(js_path) + assert lib_name in js_path + + +if __name__ == '__main__': + test_compile_tsx() + test_create_ui() \ No newline at end of file diff --git a/test/test_skills/test_llm_inference.py b/test/test_skills/test_llm_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..e58ec824bc27dcdfa69ffdbec3d539ac2d491e54 --- /dev/null +++ b/test/test_skills/test_llm_inference.py @@ -0,0 +1,60 @@ +def test_embedding_single(): + from GeneralAgent import skills + texts = [ + "我爱唱歌", + "I love singing" + ] + embeddings = [skills.embedding_single(text) for text in texts] + a, b = embeddings[0], embeddings[1] + assert skills.cos_sim(a, a) >= 0.999 + assert skills.cos_sim(a, b) > 0.8 + +def test_embedding_batch(): + from GeneralAgent import skills + texts = [str(i) for i in range(20)] + embeddings = skills.embedding_batch(texts) + assert len(embeddings) == 20 + + +def test_llm_inference(): + messages = [ + {'role': 'system', 'content': 'you are a helpful assistant'}, + {'role': 'user', 'content': '1 + 1 = ?'}, + ] + result = '' + from GeneralAgent import skills + for x in skills.llm_inference(messages, stream=True): + if x is None: + break + result += x + assert '2' in result + +def test_llm_inference_break(): + messages = [ + {'role': 'system', 'content': 'you are a helpful assistant'}, + {'role': 'user', 'content': 'describle the Chengdu'}, + ] + result = '' + from GeneralAgent import skills + for x in skills.llm_inference(messages, stream=True): + if x is None: + break + # print(x, end='', flush=True) + result += x + if len(result) > 10: + break + assert len(result) > 10 + + result = '' + from GeneralAgent import skills + for x in skills.llm_inference(messages, stream=True): + result += x + if len(result) > 10: + break + assert len(result) > 10 + +if __name__ == '__main__': + # test_llm_inference_break() + # test_llm_inference() + # test_embedding_single() + test_embedding_batch() \ No newline at end of file diff --git a/test/test_skills/test_memory_utils.py b/test/test_skills/test_memory_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..2c806fd27dd6e0e4cd71fa1f265d956339c5df45 --- /dev/null +++ b/test/test_skills/test_memory_utils.py @@ -0,0 +1,96 @@ +import pytest +import asyncio + + +content = """ +Nougat: Neural Optical Understanding for Academic Documents +Lukas Blecher⇤ Guillem Cucurull Thomas Scialom Robert Stojnic Meta AI +Abstract +Scientific knowledge is predominantly stored in books and scientific journals, often in the form of PDFs. However, the PDF format leads to a loss of semantic information, particularly for mathematical expressions. We propose Nougat (Neural Optical Understanding for Academic Documents), a Visual Transformer model that performs an Optical Character Recognition (OCR) task for processing scientific documents into a markup language, and demonstrate the effectiveness of our model on a new dataset of scientific documents. The proposed approach offers a promising solution to enhance the accessibility of scientific knowledge in the digital age, by bridging the gap between human- readable documents and machine-readable text. We release the models and code to accelerate future work on scientific text recognition. +1 Introduction +The majority of scientific knowledge is stored in books or published in scientific journals, most commonly in the Portable Document Format (PDF). Next to HTML, PDFs are the second most prominent data format on the internet, making up 2.4% of common crawl [1]. However, the information stored in these files is very difficult to extract into any other formats. This is especially true for highly specialized documents, such as scientific research papers, where the semantic information of mathematical expressions is lost. +Existing Optical Character Recognition (OCR) engines, such as Tesseract OCR [2], excel at detecting and classifying individual characters and words in an image, but fail to understand the relationship between them due to their line-by-line approach. This means that they treat superscripts and subscripts in the same way as the surrounding text, which is a significant drawback for mathematical expressions. In mathematical notations like fractions, exponents, and matrices, relative positions of characters are crucial. +Converting academic research papers into machine-readable text also enables accessibility and searchability of science as a whole. The information of millions of academic papers can not be fully accessed because they are locked behind an unreadable format. Existing corpora, such as the S2ORC dataset [3], capture the text of 12M2 papers using GROBID [4], but are missing meaningful representations of the mathematical equations. +To this end, we introduce Nougat, a transformer based model that can convert images of document pages to formatted markup text. +The primary contributions in this paper are +• Release of a pre-trained model capable of converting a PDF to a lightweight markup language. We release the code and the model on GitHub3 +• We introduce a pipeline to create dataset for pairing PDFs to source code +• Our method is only dependent on the image of a page, allowing access to scanned papers and books +⇤Correspondence to: lblecher@meta.com +2The paper reports 8.1M papers but the authors recently updated the numbers on the GitHub page https://github.com/allenai/s2orc 3 https://github.com/facebookresearch/nougat +""" + +background = """ +#01 Nougat is a Visual Transformer model that performs Optical Character Recognition (OCR) on scientific documents, converting them into a markup language. It aims to enhance the accessibility and searchability of scientific knowledge by bridging the gap between human-readable documents and machine-readable text. The model has been released along with the code for future work on scientific text recognition. Detail in <<Nougat: Neural Optical Understanding for Academic Documents>>, <<Introduction>>, <<Related Work>>, <<Model>>, <<Data Augmentation>>, <<Datasets>> +#02 The content discusses the process of splitting a document into pages and predicting the page numbers for each paragraph. It also mentions the use of fuzzy matching to find the exact position within a paragraph. The content acknowledges that there may be artifacts and missing elements in the ground truth data. The results and evaluation section mentions the metrics used to evaluate the model's performance. Detail in <<Page Index>>, <<Staircase Fit>>, <<Predictions>>, <<Figure 4: Splitting Paragraphs into Pages>>, <<Bag of Words Matching>>, <<Fuzzy Matching>> +#03 The model presented, Nougat, is an end-to-end trainable encoder-decoder transformer-based model for converting document pages to markup. It relies solely on the rasterized document page and does not rely on OCR or embedded text representations. The model has shown potential for extracting text from digital-born PDFs and converting scanned papers and textbooks. The model's utility is limited by factors such as repetitions and the need for improvements in handling different document styles. The model's generation speed is slower compared to classical approaches but can correctly parse mathematical expressions. Future work includes addressing the tendency for the model to collapse into a repeating loop and improving the handling of inconsistencies across the document. Detail in <<Numbers and Punctuation>>, <<Math and Plain Text Scores>>, <<Results and Format of GROBID>>, <<Comparison of Approaches>>, <<Repetition Detection and Inference>>, <<Limitations and Future Work>> +#04 Training systems for handwritten mathematical expression recognition, generating LaTeX sequences from math formula images using deep neural networks, and pre-training models for document understanding and image recognition. Detail in <<Training Handwritten Mathematical Expression Recognition>>, <<Neural Markup Generation with Visual Attention>>, <<Multi-Scale Attention for Handwritten Mathematical Expression Recognition>>, <<Translating Math Formula Images to LaTeX Sequences>>, <<Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer>>, <<Competition on Recognition of Handwritten Mathematical Expressions>>, <<LaTeX OCR>>, <<Attention Is All You Need>>, <<LayoutLM: Pre-training of Text and Layout for Document Image Understanding>>, <<LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding>>, <<LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking>>, <<Online publishing via pdf2htmlEX>>, <<DocFormer: End-to-End Transformer for Document Understanding>>, <<Representation Learning for Information Extraction from Form-like Documents>>, <<OCR-free Document Understanding Transformer>>, <<Swin Transformer: Hierarchical Vision Transformer using Shifted Windows>>, <<An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale>>, <<BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension>>, <<Galactica: A Large Language Model for Science>>, <<Decoupled Weight Decay Regularization>>, <<Best practices for convolutional neural networks applied to visual document analysis>>, <<Albumentations: Fast and Flexible Image Augmentations>>, <<OCR-IDL: OCR Annotations for Industry Document Library Dataset>>, <<PDFFigures 2.0: Mining Figures from Research Papers>>, <<Binary codes capable of correcting deletions, insertions, and reversals>>, <<Distributional Structure>>, <<Beyond neural scaling laws: beating power law scaling via data pruning>>, <<Bleu: a Method for Automatic Evaluation of Machine Translation>>, <<METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments>>, <<The Curious Case of Neural Text Degeneration>>, <<Calculus>>, <<Kinetics and Thermodynamics in High-Temperature Gases>>, <<Hierarchical Neural Story Generation>> +#05 The content discusses various topics including a dataset composition, examples of text generation, derivative rules, pressure calculations, gas mixtures, and molecular Hamiltonian. Detail in <<Annual Meeting>>, <<Cycle-Consistency for Visual Question Answering>>, <<Dataset Composition>>, <<Examples>>, <<Derivative of a Constant>>, <<Molecular Hamiltonian and Anharmonic Coupling Terms>> +#06 jf (t) is a mathematical function. Detail in <<Segment 1>>, <<Segment 2>> +#07 The content discusses various models and their performance in the field of VQA (Visual Question Answering). It also includes information about a proposed cycle-consistent training framework and its impact on model performance. Additionally, there is mention of evaluation metrics and the effect of hierarchical generation on story generation models. Detail in <<Introduction1>>, <<Description of the Method>>, <<Comparison with Other Models>>, <<Evaluation Metrics and Results>>, <<Effect of Hierarchical Generation>>, <<Perplexity and Accuracy Analysis>> +""" + + +def test_parse_segment_llm_result(): + from GeneralAgent.skills.memory_utils import _parse_segment_llm_result + string = "<<Nougat: Neural Optical Understanding for Academic Documents>>\n0: 15\n\n<<Abstract>>\n6: 15\n\n<<Introduction>>\n17: 32\n\n<<Primary Contributions>>\n34: 38" + nodes = _parse_segment_llm_result(string) + assert nodes['Abstract'] == (6, 15) + assert len(nodes) == 4 + +@pytest.mark.asyncio +async def test_segment_text(): + from GeneralAgent import skills + nodes = await skills.segment_text(content) + assert len(nodes) > 0 + assert 'Abstract' in ''.join(nodes.keys()) + +@pytest.mark.asyncio +async def test_summarize_text(): + from GeneralAgent import skills + summary = await skills.summarize_text(content) + # print(summary) + assert len(summary) < len(content) + +@pytest.mark.asyncio +async def test_extract_info(): + from GeneralAgent import skills + task = "今天天气怎么样?" + info = await skills.extract_info(background, task) + assert '[Nothing]' == info + + task = "论文有哪贡献?" + info = await skills.extract_info(background, task) + print(info) + + task = "论文有哪些限制?" + info = await skills.extract_info(background, task) + print(info) + +def test_parse_extract_info(): + content = """ +#01 +<<Nougat: Neural Optical Understanding for Academic Documents>> + +#03 +<<Numbers and Punctuation>> +<<Math and Plain Text Scores>> +<<Results and Format of GROBID>> +<<Comparison of Approaches>> +<<Repetition Detection and Inference>> +<<Limitations and Future Work>> +#03 The model's utility is limited by factors such as repetitions and the need for improvements in handling different document styles. The model's generation speed is slower compared to classical approaches but can correctly parse mathematical expressions. Future work includes addressing the tendency for the model to collapse into a repeating loop and improving the handling of inconsistencies across the document. Detail in <<Repetition Detection and Inference>>, <<Limitations and Future Work>> +""" + from GeneralAgent import skills + numbers, titles = skills.parse_extract_info(content) + assert numbers == [1, 3, 3] + # print(numbers) + assert titles == ['Nougat: Neural Optical Understanding for Academic Documents', 'Numbers and Punctuation', 'Math and Plain Text Scores', 'Results and Format of GROBID', 'Comparison of Approaches', 'Repetition Detection and Inference', 'Limitations and Future Work', 'Repetition Detection and Inference', 'Limitations and Future Work'] + + +if __name__ == '__main__': + # test_parse_segment_llm_result() + # asyncio.run(test_segment_text()) + # asyncio.run(test_summarize_text()) + # asyncio.run(test_extract_info()) + test_parse_extract_info() \ No newline at end of file diff --git a/test/test_skills/test_translate_text.py b/test/test_skills/test_translate_text.py new file mode 100644 index 0000000000000000000000000000000000000000..0d6ee2b59e0e020576c0ea9fd41a5f0b10a021e2 --- /dev/null +++ b/test/test_skills/test_translate_text.py @@ -0,0 +1,8 @@ + +def test_translate_text(): + from GeneralAgent import skills + result = skills.translate_text('Hello world', '中文') + print(result) + +if __name__ == '__main__': + test_translate_text() \ No newline at end of file diff --git a/test/test_skills/test_web_tools.py b/test/test_skills/test_web_tools.py new file mode 100644 index 0000000000000000000000000000000000000000..a7a6283b57a128b569a94945db649463e1eb7ff8 --- /dev/null +++ b/test/test_skills/test_web_tools.py @@ -0,0 +1,24 @@ +def test_google_search(): + from GeneralAgent import skills + result = skills.google_search('apple inc') + import json + assert 'apple' in json.dumps(result) + +# def test_wikipedia_search(): +# from GeneralAgent import skills +# result = skills.wikipedia_search('apple inc') +# print(result) +# assert 'Steve Jobs' in result + +def test_scrape_web(): + from GeneralAgent import skills + url = 'https://www.baidu.com' + result = skills.scrape_web(url) + title = result[0] + assert '百度' in title + + +if __name__ == '__main__': + # test_search_functions() + # test_edit_llm_function() + pass \ No newline at end of file diff --git a/test/test_stack_agent.py b/test/test_stack_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..498f5d379ce210bea0b3bff7b88fd3fa4c9d38c8 --- /dev/null +++ b/test/test_stack_agent.py @@ -0,0 +1,109 @@ +import os +import pytest +import shutil +import asyncio +from GeneralAgent.agent import StackAgent +from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter +from GeneralAgent.utils import set_logging_level +set_logging_level() + + +workspace = './data/test_workspace' + +result = '' + +def get_output_callback(): + global result + async def _output_callback(token): + if token is not None: + global result + result += token + print(token, end='', flush=True) + return _output_callback + + +@pytest.mark.asyncio +async def test_math(): + global result + result = '' + if os.path.exists(workspace): shutil.rmtree(workspace) + agent = StackAgent.default(workspace=workspace) + await agent.run('calculate 0.99 ** 1000 by python code', output_callback=get_output_callback()) + count = 3 + while count > 0: + if '3171' in result: + break + count -= 1 + await agent.run('OK', output_callback=get_output_callback()) + assert '3171' in result + +@pytest.mark.asyncio +async def test_write_file(): + global result + result = '' + target_path = './data/a.txt' + if os.path.exists(target_path): + os.remove(target_path) + if os.path.exists(workspace): shutil.rmtree(workspace) + agent = StackAgent.default(workspace=workspace) + agent.model_type = 'smart' + await agent.run('Write the description of Chengdu to the file ./data/a.txt. You shoud provide the description', output_callback=get_output_callback()) + for _ in range(2): + await agent.run('OK', output_callback=get_output_callback()) + if os.path.exists(target_path): + break + assert os.path.exists(target_path) + with open(target_path, 'r') as f: + content = f.read() + assert 'Chengdu' in content + if os.path.exists(target_path): + os.remove(target_path) + +@pytest.mark.asyncio +async def test_read_file(): + global result + result = '' + content = """Chengdu, the capital of China's southwest Sichuan Province, is famed for being the home of cute giant pandas. Apart from the Panda Research base, Chengdu has a lot of other attractions. It is known for its spicy Sichuan cuisine and ancient history, including the site of the ancient Jinsha civilization and the Three Kingdoms-era Wuhou Shrine. The city also features beautiful natural landscapes such as Mount Qingcheng and the Dujiangyan Irrigation System, both UNESCO World Heritage Sites.""" + target_path = './data/b.txt' + if os.path.exists(target_path): + os.remove(target_path) + with open(target_path, 'w') as f: + f.write(content) + if os.path.exists(workspace): shutil.rmtree(workspace) + agent = StackAgent.default(workspace=workspace) + memory_node_id = await agent.run('what is in ./data/b.txt', output_callback=get_output_callback()) + for _ in range(2): + if 'Mount Qingcheng' in result: + break + await agent.run('OK', output_callback=get_output_callback()) + assert 'Mount Qingcheng' in result + assert memory_node_id == None + if os.path.exists(target_path): + os.remove(target_path) + +# @pytest.mark.asyncio +# async def test_functions(): +# global result +# result = '' +# if os.path.exists(workspace): shutil.rmtree(workspace) +# os.mkdir(workspace) +# serialize_path = f'{workspace}/code.bin' +# python_interpreter = PythonInterpreter(serialize_path=serialize_path) +# from GeneralAgent import skills +# python_interpreter.function_tools = [skills.scrape_web] +# agent = StackAgent(workspace=workspace) +# agent.interpreters = [RoleInterpreter(), python_interpreter] +# await agent.run("what's the tiltle of web page https://baidu.com ?", output_callback=get_output_callback()) +# for _ in range(2): +# await agent.run('OK', output_callback=get_output_callback()) +# assert '百度' in result +# assert os.path.exists(serialize_path) +# shutil.rmtree(workspace) + + + +if __name__ == '__main__': + asyncio.run(test_math()) + # asyncio.run(test_write_file()) + # asyncio.run(test_read_file()) + # asyncio.run(test_functions()) \ No newline at end of file diff --git a/test/test_stack_memory.py b/test/test_stack_memory.py new file mode 100644 index 0000000000000000000000000000000000000000..b88c494b1d2d603c307e1710263f6700760e19fd --- /dev/null +++ b/test/test_stack_memory.py @@ -0,0 +1,63 @@ +import os +from GeneralAgent.memory import StackMemory, StackMemoryNode +from GeneralAgent.utils import set_logging_level +set_logging_level() + +def test_memory(): + serialize_path='./data/memory.json' + if os.path.exists(serialize_path): + os.remove(serialize_path) + memory = StackMemory(serialize_path=serialize_path) + node1 = StackMemoryNode(role='user', action='input', content='node1') + node2 = StackMemoryNode(role='system', action='answer', content='node2') + node3 = StackMemoryNode(role='system', action='answer', content='node3') + node4 = StackMemoryNode(role='system', action='answer', content='node4') + memory.add_node(node1) + memory.add_node_in(node1, node2) + memory.add_node_after(node2, node3) + memory.add_node_after(node3, node4) + # [node1 [node2, node3, node4] ] + + def _assert_init_state(memory): + node1 = memory.get_node(1) + node2 = memory.get_node(2) + node3 = memory.get_node(3) + node4 = memory.get_node(4) + assert node1.role == 'user' + assert node1.childrens == [2, 3, 4] + assert node2.parent == 1 + assert node3.parent == 1 + assert node4.parent == 1 + assert node2.childrens == [] + assert node3.childrens == [] + assert node4.childrens == [] + assert memory.get_node(1).childrens == [2, 3, 4] + + # first assert + _assert_init_state(memory) + description_1 = str(memory) + + # load from serialized file + memory = None + memory = StackMemory(serialize_path=serialize_path) + _assert_init_state(memory) + description_2 = str(memory) + assert description_1 == description_2 + + # test get node + tmp_node = memory.get_node(3) + assert tmp_node.content == 'node3' + + # get todo node + todo_node = memory.get_todo_node() + assert todo_node.node_id == 2 + + # success node + memory.success_node(todo_node) + assert memory.get_todo_node().node_id == 3 + + if os.path.exists(serialize_path): + os.remove(serialize_path) + +if __name__ == '__main__': + test_memory() \ No newline at end of file diff --git a/webui/.gitignore b/webui/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..112b361ab42af29d0b5e3d9d6943a0c082093d1b --- /dev/null +++ b/webui/.gitignore @@ -0,0 +1,8 @@ +*.pyc +server/server/general_agent_db.json +server/server/.env +server/server/data/* +server/server/files/* +server/server/llm_cache.json +server/test/ui/* +server/test/llm_cache.json diff --git a/webui/README.md b/webui/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a30a1ce19fbfb4902a08ae640c14c01aa0309efc --- /dev/null +++ b/webui/README.md @@ -0,0 +1,6 @@ +# develop command + +```shell +uvicorn app:app --host 0.0.0.0 --port 7777 --reload +uvicorn app:app --host 0.0.0.0 --port 7777 +``` diff --git a/webui/server/server/app.py b/webui/server/server/app.py new file mode 100644 index 0000000000000000000000000000000000000000..2e12d21055d93d0b5d9d381da001d346cc367cfc --- /dev/null +++ b/webui/server/server/app.py @@ -0,0 +1,458 @@ +import os +import asyncio +import random +from pydantic import BaseModel +from fastapi import FastAPI, WebSocket, Depends, File, UploadFile, HTTPException, WebSocketDisconnect, Query, Request, BackgroundTasks, Form, Path +from fastapi.responses import RedirectResponse, Response, FileResponse +from starlette.websockets import WebSocketState +from fastapi.middleware.cors import CORSMiddleware +from tinydb import TinyDB, Query +from dotenv import load_dotenv +import threading +import logging +import queue +import uuid +import uuid, json +from typing import Optional +from datetime import datetime +from dataclasses import dataclass + +# Try to set DATA_DIR +data_dir = os.environ.get('DATA_DIR', None) +if data_dir is None: + the_dir = os.path.join(os.path.dirname(__file__), '../../../data/') + # logging.info('enviroment DATA_DIR (user data directory) is not set, use default: %s', the_dir) + print('enviroment DATA_DIR (user data directory) is not set, use default: %s' % the_dir) + os.environ['DATA_DIR'] = the_dir + +from GeneralAgent import skills +from GeneralAgent.utils import set_local_applications_dir, set_tsx_builder_dir +from GeneralAgent.utils import set_logging_level, get_server_dir, get_applications_data_dir +set_logging_level(os.environ.get('LOG_LEVEL', 'ERROR')) +set_tsx_builder_dir(os.path.join(os.path.dirname(__file__), 'ts_builder')) +set_local_applications_dir(os.path.join(os.path.dirname(__file__), 'applications')) + +# load env +# if os.path.exists('.env'): +# load_dotenv('.env') + +import contextvars +import functools +async def to_thread(func, /, *args, **kwargs): + loop = asyncio.get_running_loop() + ctx = contextvars.copy_context() + func_call = functools.partial(ctx.run, func, *args, **kwargs) + return await loop.run_in_executor(None, func_call) + +@dataclass +class Chat(): + id: Optional[str] = None + name: Optional[str] = '' + create_at: Optional[str] = None + update_at: Optional[str] = None + bot_id: Optional[str] = '' + + def __post_init__(self): + if self.create_at is None: + self.create_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S:%f") + if self.update_at is None: + self.update_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S:%f") + if self.id is None: + self.id = datetime.now().strftime("%Y%m%d_%H%M%S") + '_' + str(uuid.uuid4())[:8] + + +@dataclass +class Message(): + type: Optional[str] = 'message' # token | message + id: Optional[str] = None + role: Optional[str] = '' # user / bot + bot_id: Optional[str] = '' # bot id + chat_id: Optional[str] = '' # chat id + create_at: Optional[str] = None + msg: Optional[str] = '' + file: Optional[str] = '' + ui: Optional[str] = '' # UI组件(js, name, data) + extention: Optional[str] = None # 扩展字段 + + def __post_init__(self): + if self.create_at is None: + self.create_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S:%f") + if self.id is None: + self.id = str(uuid.uuid4()) + + def response_template(self, is_token=False): + new_message = Message( + role='bot', + bot_id=self.bot_id, + chat_id=self.chat_id, + type='token' if is_token else 'message', + ) + return new_message + + def to_text(self): + data = { + 'type': 'message', + 'data': self.__dict__ + } + return json.dumps(data) + + +app = FastAPI() +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +db_path = os.path.join(get_server_dir(), './general_agent_db.json') +db = TinyDB(db_path) +task_queue: queue.Queue = queue.Queue() +response_queue: queue.Queue = queue.Queue() + + +def sync_worker(): + asyncio.run(worker()) + +applications_data_dir = get_applications_data_dir() + +def get_bot_dir(bot_id): + """ + Return the bot data dir + """ + data_dir = os.path.join(applications_data_dir, bot_id) + return data_dir + +def get_chat_dir(bot_id, chat_id): + """ + Return the chat data dir + """ + data_dir = os.path.join(applications_data_dir, bot_id, chat_id) + return data_dir + + +def history_to_messages(history): + messages = [] + for item in history: + message = Message(**item) + role = {'user': 'user', 'bot': 'assistant'}.get(message.role, 'user') + content = message.msg if len(message.msg) > 0 else message.file + messages.append({'role': role, 'content': content}) + return messages + +def try_create_chat_name(message:Message, chat_messages): + from GeneralAgent import skills + chat = db.table('chats').get(Query().id == message.chat_id) + chat = Chat(**chat) + if chat.name == '' and len(chat_messages) > 0: + content = chat_messages[0]['content'] + if len(content) < 10: + title = content + else: + title = skills.extract_title(content) + chat.name = title + db.table('chats').update({'name': title}, Query().id == message.chat_id) + +async def worker(): + logging.info('enter worker') + while True: + try: + message = None + current_workspace_dir = None + # message:Message = await to_thread(task_queue.get) + while True: # Add a loop here + try: + message: Message = await to_thread(task_queue.get_nowait) + break # If the message is successfully got, break the loop + except queue.Empty: + # if random.random() < 0.01: + # logging.info('Worker waiting for a message.') + await asyncio.sleep(0) # Wait for a while before the next attempt + logging.info('Worker get a message') + chat_id = message.chat_id + bot_id = message.bot_id + msg_id = str(uuid.uuid4()) + result = '' + async def _output_callback(token): + nonlocal result + nonlocal msg_id + if token is not None: + result += token + # logging.debug({'token': token}) + response:Message = message.response_template(is_token=True) + response.msg = token + response.id = msg_id + # await response_queue.put(response) + await to_thread(response_queue.put, response) + else: + if len(result.strip()) > 0: + response:Message = message.response_template() + response.msg = result.strip() + response.id = msg_id + await save_message(response) + await to_thread(response_queue.put, response) + # await response_queue.put(response) + result = '' + msg_id = str(uuid.uuid4()) + logging.info('sended message') + + async def _file_callback(file_path): + file_path = skills.try_download_file(file_path) + response:Message = message.response_template() + response.file = file_path + await save_message(response) + await to_thread(response_queue.put, response) + logging.info('sended file') + + # async def _ui_callback(name, js_path, data={}): + # """ + # Send UI to user, name: UI component name, js_path: js file address corresponding to UI component, data: data required by UI component + # """ + async def send_ui(component_name:str, js_path:str, data={}): + """ + Send UI to user, component_name: UI component name, js_path: js file address corresponding to UI component, data: data required by UI component + """ + response:Message = message.response_template() + response.ui = json.dumps({ + 'name': component_name, + 'js': js_path, + 'data': data + }) + await save_message(response) + await to_thread(response_queue.put, response) + logging.debug(response) + + # os.chdir(self.local_dir) + current_workspace_dir = os.getcwd() + application_module = skills.get_application_module(bot_id) + db.table('mesasges').clear_cache() + history = db.table('messages').search((Query().bot_id == bot_id) & (Query().chat_id == chat_id))[-20:] + chat_messages = history_to_messages(history) + + bot_meta = skills.load_bot_metadata_by_id(bot_id) + + bot_is_agent = bot_meta.get('type', 'agent') == 'agent' + if bot_is_agent: + try_create_chat_name(message, chat_messages) + + + # data_dir = os.path.join(os.getcwd(), 'data', bot_id, chat_id) + data_dir = get_chat_dir(bot_id, chat_id) + if not os.path.exists(data_dir): + os.makedirs(data_dir) + os.chdir(data_dir) + if application_module is not None: + file = None if message.file == '' else message.file + # 获取application_module.main函数参数个数 + params_count = application_module.main.__code__.co_argcount + if params_count == 3: + if file is not None: + message.msg = f'uploaded a file: {message.file}' + await application_module.main(chat_messages, message.msg, _output_callback) + else: + await application_module.main(chat_messages, message.msg, file, _output_callback, _file_callback, send_ui) + if len(result.strip()) > 0: + response = message.response_template() + response.msg = result + response.id = msg_id + await save_message(response) + await to_thread(response_queue.put, response) + else: + response = message.response_template() + response.msg = 'application load error' + await save_message(response) + # await response_queue.put(response) + await to_thread(response_queue.put, response) + except Exception as e: + logging.exception(e) + if message is not None: + response = message.response_template() + response.msg = str(e) + await save_message(response) + await to_thread(response_queue.put, response) + finally: + if message is not None: + task_queue.task_done() + logging.info('Worker process message successfully') + if current_workspace_dir is not None: + os.chdir(current_workspace_dir) + +@app.on_event("startup") +async def startup_event(): + logging.info('startup') + threading.Thread(target=sync_worker, daemon=True).start() + +@app.on_event('shutdown') +async def shutdown_event(): + logging.info('shutdown') + os._exit(0) + +async def save_message(message:Message): + if message.chat_id == '': + chat = Chat( + bot_id=message.bot_id, + ) + db.table('chats').insert(chat.__dict__) + message.chat_id = chat.id + db.table('messages').insert(message.__dict__) + + +async def listen_message(websocket: WebSocket) -> None: + while True: + # message = await response_queue.get() + # message:Message = await to_thread(response_queue.get) + # await websocket.send_text(message.to_text()) + # response_queue.task_done() + try: + message: Message = await to_thread(response_queue.get_nowait) + await websocket.send_text(message.to_text()) + response_queue.task_done() + except queue.Empty: + # if random.random() < 0.01: + # logging.info('Socket waiting for a message.') + await asyncio.sleep(0) + + +@app.websocket("/ws/user/") +async def websocket_user_endpoint(websocket: WebSocket): + await websocket.accept() + listen_task = asyncio.create_task(listen_message(websocket)) + try: + while True: + data = await websocket.receive_text() + if data == 'ping': + await websocket.send_text('pong') + continue + else: + data = json.loads(data) + logging.info('Websocket get a message') + if data['type'] == 'message': + message = Message(**data['data']) + message.role = 'user' + await save_message(message) + await websocket.send_text(message.to_text()) + logging.info('Websocket sended message') + await to_thread(task_queue.put, message) + # await task_queue.put(message) + except Exception as e: + if isinstance(e, WebSocketDisconnect): + logging.info(f"websocket disconnect: {e}") + else: + logging.exception(e) + finally: + listen_task.cancel() + if websocket.client_state != WebSocketState.DISCONNECTED: + try: + await websocket.close(code=4001) + except: + pass + +@app.get("/bot/list") +async def bot_list(): + from GeneralAgent import skills + return skills.load_applications() + + +@app.get("/chats/{bot_id}") +async def user_chat(bot_id: str): + chats = db.table('chats').search(Query().bot_id == bot_id) + # 当chats为空的时候，创建一个 + if len(chats) == 0: + chat = Chat( + bot_id=bot_id, + ) + db.table('chats').insert(chat.__dict__) + chats = db.table('chats').search(Query().bot_id == bot_id) + # 倒序排列 + chats = chats[::-1] + return chats + +@app.get("/chats/new/{bot_id}") +async def user_chat_new(bot_id: str): + chat = Chat( + bot_id=bot_id, + ) + db.table('chats').insert(chat.__dict__) + chats = db.table('chats').search(Query().bot_id == bot_id) + chats = chats[::-1] + return chats + + +@app.post('/clear_bot_chats/{bot_id}') +async def clear_messages(bot_id: str): + """ + clear all chats for bot + """ + # clear messages + db.table('messages').remove(Query().bot_id == bot_id) + db.table('chats').remove(Query().bot_id == bot_id) + # delete bot dir + the_dir = get_bot_dir(bot_id) + if os.path.exists(the_dir): + import shutil + shutil.rmtree(the_dir) + return 'ok' + + +@app.post('/delete_chat/{bot_id}/{chat_id}') +async def delete_chat(bot_id: str, chat_id: str): + """ + delete a chat + """ + db.table('messages').remove((Query().bot_id == bot_id) & (Query().chat_id == chat_id)) + db.table('chats').remove((Query().bot_id == bot_id) & (Query().id == chat_id)) + # delete chat dir + the_dir = get_chat_dir(bot_id, chat_id) + if os.path.exists(the_dir): + import shutil + shutil.rmtree(the_dir) + return 'ok' + + +class MessagesInput(BaseModel): + bot_id: str + chat_id: str +@app.post("/messages/") +async def user_messages(data:MessagesInput): + bot_id = data.bot_id + chat_id = data.chat_id + db.table('mesasges').clear_cache() + messages = db.table('messages').search((Query().bot_id == bot_id) & (Query().chat_id == chat_id)) + return messages + +@app.get("/system/file/{path:path}") +async def get_file(path: str): + if os.path.exists(path): + return FileResponse(path) + else: + raise HTTPException(status_code=404, detail="File not found") + + +@app.get("/file/download/{bot_id}/{chat_id}/{file_name:path}") +async def download_file(bot_id: str, chat_id: str, file_name: str = Path(..., convert_underscores=False)): + the_dir = get_chat_dir(bot_id, chat_id) + file_path = os.path.join(the_dir, file_name) + # print(file_path) + logging.debug(file_path) + if os.path.exists(file_path): + return FileResponse(file_path) + else: + raise HTTPException(status_code=404, detail="File not found") + + +# 文件上传: /file/upload +@app.post("/file/upload") +async def upload_file( + bot_id: str = Form(..., description="Bot ID"), + chat_id: str = Form(..., description="Chat ID"), + file: UploadFile = File(...) + ): + file_name = file.filename + the_dir = get_chat_dir(bot_id, chat_id) + if not os.path.exists(the_dir): + os.makedirs(the_dir) + file_path = os.path.join(the_dir, file_name) + with open(file_path, 'wb') as f: + f.write(file.file.read()) + return {'code': 0, "message": "File uploaded successfully", 'file': './'+file_name} \ No newline at end of file diff --git a/webui/server/server/applications/agent/agent.png b/webui/server/server/applications/agent/agent.png new file mode 100644 index 0000000000000000000000000000000000000000..658de918dc4d3a420f5278db3b72d86119cb09ba Binary files /dev/null and b/webui/server/server/applications/agent/agent.png differ diff --git a/webui/server/server/applications/agent/bot.json b/webui/server/server/applications/agent/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..2ee68637ba6a7e006fc1c7a2eef981fe1285b831 --- /dev/null +++ b/webui/server/server/applications/agent/bot.json @@ -0,0 +1,6 @@ +{ + "id": "agent", + "name": "Agent by GPT3.5", + "description": "Agent with all tools: Code Interpreter(Python, Shell, AppleScript)、AI tools(Draw、TTS、ASR and others)、Dynamic UI", + "upload_file": "yes" +} \ No newline at end of file diff --git a/webui/server/server/applications/agent/main.py b/webui/server/server/applications/agent/main.py new file mode 100644 index 0000000000000000000000000000000000000000..8a901d4f31a75d386c2b31c6bf6c23b6e33df000 --- /dev/null +++ b/webui/server/server/applications/agent/main.py @@ -0,0 +1,26 @@ +from GeneralAgent.agent import Agent + +async def main(chat_history, input, file_path, output_callback, file_callback, send_ui): + from GeneralAgent.agent import Agent + from GeneralAgent import skills + from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter, AppleScriptInterpreter, ShellInterpreter, UIInterpreter + functions = [ + skills.search_functions, + skills.image_generation, + skills.scrape_web, + skills.text_to_speech, + # skills.text_to_speech, + skills.translate_text + ] + workspace = './' + agent = Agent(workspace) + # agent.hide_output_parse = False + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + python_interpreter.function_tools = functions + agent.interpreters = [RoleInterpreter(), python_interpreter, AppleScriptInterpreter(), ShellInterpreter(), UIInterpreter(send_ui, output_callback)] + # agent.model_type = 'smart' + + input_content = input + if file_path is not None and file_path != '': + input_content = "user upload a file: " + file_path + await agent.run(input_content, output_callback=output_callback) \ No newline at end of file diff --git a/webui/server/server/applications/agent_gpt4/agent.png b/webui/server/server/applications/agent_gpt4/agent.png new file mode 100644 index 0000000000000000000000000000000000000000..658de918dc4d3a420f5278db3b72d86119cb09ba Binary files /dev/null and b/webui/server/server/applications/agent_gpt4/agent.png differ diff --git a/webui/server/server/applications/agent_gpt4/bot.json b/webui/server/server/applications/agent_gpt4/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..06fe09ef26794ff9cca8a48861e56c17aa1987da --- /dev/null +++ b/webui/server/server/applications/agent_gpt4/bot.json @@ -0,0 +1,6 @@ +{ + "id": "agent_gpt4", + "name": "Agent by GPT4", + "description": "Agent with all tools: Code Interpreter(Python, Shell, AppleScript)、AI tools(Draw、TTS、ASR and others)、Dynamic UI", + "upload_file": "yes" +} \ No newline at end of file diff --git a/webui/server/server/applications/agent_gpt4/main.py b/webui/server/server/applications/agent_gpt4/main.py new file mode 100644 index 0000000000000000000000000000000000000000..90b3e291e2167d14e0de2489b2fcd516b390a3c0 --- /dev/null +++ b/webui/server/server/applications/agent_gpt4/main.py @@ -0,0 +1,25 @@ +from GeneralAgent.agent import Agent + +async def main(chat_history, input, file_path, output_callback, file_callback, send_ui): + from GeneralAgent.agent import Agent + from GeneralAgent import skills + from GeneralAgent.interpreter import RoleInterpreter, PythonInterpreter, AppleScriptInterpreter, ShellInterpreter, UIInterpreter + functions = [ + skills.search_functions, + skills.image_generation, + skills.scrape_web, + skills.text_to_speech, + skills.text_to_speech, + skills.translate_text + ] + workspace = './' + agent = Agent(workspace) + python_interpreter = PythonInterpreter(serialize_path=f'{workspace}/code.bin') + python_interpreter.function_tools = functions + agent.interpreters = [RoleInterpreter(), python_interpreter, AppleScriptInterpreter(), ShellInterpreter(), UIInterpreter(send_ui, output_callback)] + agent.model_type = 'smart' + + input_content = input + if file_path is not None and file_path != '': + input_content = "user upload a file: " + file_path + await agent.run(input_content, output_callback=output_callback) \ No newline at end of file diff --git a/webui/server/server/applications/application_builder_2/bot.json b/webui/server/server/applications/application_builder_2/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..7fcad02dc05d198f17202ce574ad1ca09d61f91b --- /dev/null +++ b/webui/server/server/applications/application_builder_2/bot.json @@ -0,0 +1,7 @@ +{ + "id": "application_builder_2", + "name": "Agent Builder", + "description": "version 2, build application or agent only by chat without any code", + "icon": "icon.png", + "upload_file": "yes" +} \ No newline at end of file diff --git a/webui/server/server/applications/application_builder_2/icon.png b/webui/server/server/applications/application_builder_2/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..435a041c3fcf2945b64d63bfa3070045a810e4c7 Binary files /dev/null and b/webui/server/server/applications/application_builder_2/icon.png differ diff --git a/webui/server/server/applications/application_builder_2/main.py b/webui/server/server/applications/application_builder_2/main.py new file mode 100644 index 0000000000000000000000000000000000000000..fd31fd17ee2c9d68554ff8465313d027d6f04a42 --- /dev/null +++ b/webui/server/server/applications/application_builder_2/main.py @@ -0,0 +1,52 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent.agent import Agent + role_prompt = """ +You are an online normal application and agent application building robot. +You build and install the application by writing Python code to call predefined functions. +You mainly care about the core business process (function implementation), and do not need to care about input and output processing. + +You should decide to create an normal application or an agent application first. +When you create an normal application, you need to implement the core business process and the user interface. +When you create an agent application, you only need to provide role prompt and functions to the agent by the edit_application_code_2 function. The agent will automatically handle the input and output. + +# For Example +```python +search_functions('scrape web page') +``` + +# Note: +- Don't make up functions that don't exist +- If the required function does not exist, you can build it through edit_function and generate_llm_task_function +- You can also uninstall the application according to user needs +- edit_application_code_2 will handle user input and output, including text and files, you don't need to care. + +# General process for building applications: +* Fully communicate needs with users +* search available functions(optional) +* edit normal function (optional) +* edit llm function (optional) +* create application ui (normal application must) +* edit application code (must) +* create application icon (must) +* update application meta (must) +* install application (must) +* uninstall_application (optional) +""" + from GeneralAgent import skills + functoins = [ + skills.search_functions, + skills.edit_normal_function, + skills.edit_llm_function, + skills.create_application_ui, + skills.edit_application_code_2, + skills.create_application_icon, + skills.update_application_meta_2, + skills.install_application, + skills.uninstall_application + ] + agent = Agent.with_functions(functoins, role_prompt) + agent.hide_output_parse = False + await agent.run(input, output_callback=output_callback) + + # 实现一个文件翻译应用，用户上传一个文件，选择要翻译的语言(可选项包括中文、日文、英文，默认中文)，然后翻译成目标语言，返回翻译后的文件。 \ No newline at end of file diff --git a/webui/server/server/applications/application_test/Libbd2e/index.js b/webui/server/server/applications/application_test/Libbd2e/index.js new file mode 100644 index 0000000000000000000000000000000000000000..f96b192bbc69352b40790ae7648892825bd14ffa --- /dev/null +++ b/webui/server/server/applications/application_test/Libbd2e/index.js @@ -0,0 +1,13 @@ +/*! + * + * ts_builder v1.1.250 + * https://github.com/hodgef/ts-library-boilerplate-basic + * + * Copyright (c) Francisco Hodge (https://github.com/hodgef) and project contributors. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + * + */ +!function(e,t){"object"==typeof exports&&"object"==typeof module?module.exports=t():"function"==typeof define&&define.amd?define([],t):"object"==typeof exports?exports.Libbd2e=t():e.Libbd2e=t()}(self,(()=>(()=>{"use strict";var e={d:(t,r)=>{for(var n in r)e.o(r,n)&&!e.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:r[n]})},o:(e,t)=>Object.prototype.hasOwnProperty.call(e,t),r:e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})}},t={};function r(e,t){return function(e){if(Array.isArray(e))return e}(e)||function(e,t){var r=null==e?null:"undefined"!=typeof Symbol&&e[Symbol.iterator]||e["@@iterator"];if(null!=r){var n,o,a,i,l=[],u=!0,c=!1;try{if(a=(r=r.call(e)).next,0===t){if(Object(r)!==r)return;u=!1}else 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rules={[{ required: true, message: '请选择日期和时间' }]}>\n <DatePicker showTime format=\"YYYY-MM-DD HH:mm:ss\" />\n </Form.Item>\n <Form.Item>\n <Button type=\"primary\" onClick={calculateTimeDifference}>\n 计算时间差\n </Button>\n </Form.Item>\n </Form>\n );\n};\n\nexport default TimeDifference;"],"names":["root","factory","exports","module","define","amd","self","__webpack_require__","definition","key","o","Object","defineProperty","enumerable","get","obj","prop","prototype","hasOwnProperty","call","Symbol","toStringTag","value","React","window","antd","Form","DatePicker","Button","_ref","save_data","form","_slicedToArray","useForm","createElement","layout","Item","name","rules","required","message","showTime","format","type","onClick","validateFields","then","values","selectedDateTime","datePicker","toDate","currentDateTime","Date","differenceInSeconds","Math","abs","getTime"],"sourceRoot":""} \ No newline at end of file diff --git a/webui/server/server/applications/application_test/Libbd2e/types/index.d.ts b/webui/server/server/applications/application_test/Libbd2e/types/index.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..63126b43fe3ac038be33f700bf3de5ca1ac27f2c --- /dev/null +++ b/webui/server/server/applications/application_test/Libbd2e/types/index.d.ts @@ -0,0 +1,4 @@ +declare const TimeDifference: ({ save_data }: { + save_data: (data: any) => void; +}) => import("react/jsx-runtime").JSX.Element; +export default TimeDifference; diff --git a/webui/server/server/applications/application_test/agent.png b/webui/server/server/applications/application_test/agent.png new file mode 100644 index 0000000000000000000000000000000000000000..658de918dc4d3a420f5278db3b72d86119cb09ba Binary files /dev/null and b/webui/server/server/applications/application_test/agent.png differ diff --git a/webui/server/server/applications/application_test/bot.json b/webui/server/server/applications/application_test/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..987822360ac5e584bba45b6c4f331196d1e09ddd --- /dev/null +++ b/webui/server/server/applications/application_test/bot.json @@ -0,0 +1,9 @@ +{ + "id": "application_test", + "name": "Application Test", + "description": "Application with UI", + "upload_file": "yes", + "type": "application", + "js_name": "Libbd2e", + "js_path": "Libbd2e/index.js" +} \ No newline at end of file diff --git a/webui/server/server/applications/application_test/main.py b/webui/server/server/applications/application_test/main.py new file mode 100644 index 0000000000000000000000000000000000000000..b4c767bfa64acc13ec2321e2a500771a222c98b4 --- /dev/null +++ b/webui/server/server/applications/application_test/main.py @@ -0,0 +1,11 @@ + +async def main(chat_history, input:str, file_path:str, output_callback, file_callback, send_ui): + """ + input: for example, {"data":518102.454} + """ + from GeneralAgent import skills + file_path = skills.unique_name() + '.json' + with open(file_path, 'w') as f: + f.write(input) + message = f'I receive: {input}, And write to file [{file_path}](sandbox:{file_path})' + await output_callback(message) \ No newline at end of file diff --git a/webui/server/server/applications/asr/asr.png b/webui/server/server/applications/asr/asr.png new file mode 100644 index 0000000000000000000000000000000000000000..e64bafd8f461cd02a5d0cbaa744b3beef24df8d9 Binary files /dev/null and b/webui/server/server/applications/asr/asr.png differ diff --git a/webui/server/server/applications/asr/bot.json b/webui/server/server/applications/asr/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..c4aeff3f518358543a65b85a04e1bc1ef6d11412 --- /dev/null +++ b/webui/server/server/applications/asr/bot.json @@ -0,0 +1,7 @@ +{ + "id": "asr", + "name": "ASR", + "description": "Automatic Speech Recognition", + "icon": "asr.png", + "upload_file": "yes" +} \ No newline at end of file diff --git a/webui/server/server/applications/asr/main.py b/webui/server/server/applications/asr/main.py new file mode 100644 index 0000000000000000000000000000000000000000..048e750d0d285cf27df11907facf0de96727e83b --- /dev/null +++ b/webui/server/server/applications/asr/main.py @@ -0,0 +1,9 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + if file_path is None: + await output_callback('Please upload a voice file') + return + text, language = skills.speech_to_text(file_path) + await output_callback(text) + \ No newline at end of file diff --git a/webui/server/server/applications/chatgpt/bot.json b/webui/server/server/applications/chatgpt/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..999b07e8c26e9e3198b57a9781e14ef81aabc5e7 --- /dev/null +++ b/webui/server/server/applications/chatgpt/bot.json @@ -0,0 +1,6 @@ +{ + "id": "chatgpt", + "name": "ChatGPT", + "description": "Chat with GPT3.5", + "icon": "chatgpt.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/chatgpt/chatgpt.jpg b/webui/server/server/applications/chatgpt/chatgpt.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f3e84a33a7fa66dae28e1aaf5dde3dd0a7faf1cf Binary files /dev/null and b/webui/server/server/applications/chatgpt/chatgpt.jpg differ diff --git a/webui/server/server/applications/chatgpt/main.py b/webui/server/server/applications/chatgpt/main.py new file mode 100644 index 0000000000000000000000000000000000000000..dfe31c0ddc632c58fdc8f47cdf07d6f4d9760a62 --- /dev/null +++ b/webui/server/server/applications/chatgpt/main.py @@ -0,0 +1,9 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + chat_history = skills.cut_messages(chat_history, 4000) + messages = [{"role": "system", "content": "You are a helpful assistant."}] + chat_history + response = skills.llm_inference(messages, stream=True) + for token in response: + await output_callback(token) + await output_callback(None) \ No newline at end of file diff --git a/webui/server/server/applications/chatgpt16k/bot.json b/webui/server/server/applications/chatgpt16k/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..44c96236a3445ee86f9cf65fce4f23819274e00c --- /dev/null +++ b/webui/server/server/applications/chatgpt16k/bot.json @@ -0,0 +1,6 @@ +{ + "id": "chatgpt16k", + "name": "ChatGPT-16K", + "description": "Chat with GPT3.5 16K", + "icon": "chatgpt.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/chatgpt16k/chatgpt.jpg b/webui/server/server/applications/chatgpt16k/chatgpt.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f3e84a33a7fa66dae28e1aaf5dde3dd0a7faf1cf Binary files /dev/null and b/webui/server/server/applications/chatgpt16k/chatgpt.jpg differ diff --git a/webui/server/server/applications/chatgpt16k/main.py b/webui/server/server/applications/chatgpt16k/main.py new file mode 100644 index 0000000000000000000000000000000000000000..4f9c3ead3fbd56980371d267dc607185b940243d --- /dev/null +++ b/webui/server/server/applications/chatgpt16k/main.py @@ -0,0 +1,9 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + chat_history = skills.cut_messages(chat_history, 15*1000) + messages = [{"role": "system", "content": "You are a helpful assistant."}] + chat_history + response = skills.llm_inference(messages, model_type='long', stream=True) + for token in response: + await output_callback(token) + await output_callback(None) \ No newline at end of file diff --git a/webui/server/server/applications/file_translate/Libf0b0/index.js b/webui/server/server/applications/file_translate/Libf0b0/index.js new file mode 100644 index 0000000000000000000000000000000000000000..c6eb9018fb92fe189779bbb219f2d9c17f435cf8 --- /dev/null +++ b/webui/server/server/applications/file_translate/Libf0b0/index.js @@ -0,0 +1,13 @@ +/*! + * + * ts_builder v1.1.250 + * https://github.com/hodgef/ts-library-boilerplate-basic + * + * Copyright (c) Francisco Hodge (https://github.com/hodgef) and project contributors. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + * + */ +!function(e,t){"object"==typeof exports&&"object"==typeof module?module.exports=t():"function"==typeof define&&define.amd?define([],t):"object"==typeof exports?exports.Libf0b0=t():e.Libf0b0=t()}(self,(()=>(()=>{"use strict";var e={d:(t,r)=>{for(var n in r)e.o(r,n)&&!e.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:r[n]})},o:(e,t)=>Object.prototype.hasOwnProperty.call(e,t),r:e=>{"undefined"!=typeof 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(obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","// define __esModule on exports\n__webpack_require__.r = (exports) => {\n\tif(typeof Symbol !== 'undefined' && Symbol.toStringTag) {\n\t\tObject.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });\n\t}\n\tObject.defineProperty(exports, '__esModule', { value: true });\n};","const React = (window as any).React;\nconst antd = (window as any).antd;\n\ninterface Props {\n save_data: (user_data:any)=>void,\n FileUploadConponent: (props: {onUploadSuccess: (file_path: string) => void, title?: string}) => React.ReactElement\n}\n\nconst Libf0b0 = (props: Props) => {\n const [file, setFile] = React.useState<string>('');\n const [language, setLanguage] = React.useState<string>('中文');\n\n const handleUploadSuccess = (file_path: string) => {\n setFile(file_path);\n };\n\n const handleCommit = () => {\n const all_data_should_save = {\n file: file,\n language: language\n };\n props.save_data(all_data_should_save);\n };\n\n return (\n <>\n <props.FileUploadConponent onUploadSuccess={handleUploadSuccess} title='' />\n <antd.Select defaultValue=\"中文\" onChange={(value: string) => setLanguage(value)}>\n <antd.Select.Option value=\"中文\">中文</antd.Select.Option>\n <antd.Select.Option value=\"日文\">日文</antd.Select.Option>\n <antd.Select.Option value=\"英文\">英文</antd.Select.Option>\n </antd.Select>\n <antd.Button type=\"primary\" onClick={handleCommit}>提交</antd.Button>\n </>\n );\n};\n\nexport default Libf0b0;"],"names":["root","factory","exports","module","define","amd","self","__webpack_require__","definition","key","o","Object","defineProperty","enumerable","get","obj","prop","prototype","hasOwnProperty","call","Symbol","toStringTag","value","React","window","antd","props","_React$useState2","_slicedToArray","useState","file","setFile","_React$useState4","language","setLanguage","createElement","Fragment","FileUploadConponent","onUploadSuccess","file_path","title","Select","defaultValue","onChange","Option","Button","type","onClick","all_data_should_save","save_data"],"sourceRoot":""} \ No newline at end of file diff --git a/webui/server/server/applications/file_translate/Libf0b0/types/index.d.ts b/webui/server/server/applications/file_translate/Libf0b0/types/index.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..331be478117d3a1cb72aa14ffca0bbb4a8e96430 --- /dev/null +++ b/webui/server/server/applications/file_translate/Libf0b0/types/index.d.ts @@ -0,0 +1,10 @@ +/// <reference types="react" /> +interface Props { + save_data: (user_data: any) => void; + FileUploadConponent: (props: { + onUploadSuccess: (file_path: string) => void; + title?: string; + }) => React.ReactElement; +} +declare const Libf0b0: (props: Props) => import("react/jsx-runtime").JSX.Element; +export default Libf0b0; diff --git a/webui/server/server/applications/file_translate/bot.json b/webui/server/server/applications/file_translate/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..013e883807b4aa1e1456df8f74806fd1de00c934 --- /dev/null +++ b/webui/server/server/applications/file_translate/bot.json @@ -0,0 +1,10 @@ +{ + "id": "file_translate", + "type": "application", + "name": "\u6587\u4ef6\u7ffb\u8bd1", + "description": "\u6587\u4ef6\u7ffb\u8bd1\u5e94\u7528", + "upload_file": "yes", + "js_name": "Libf0b0", + "js_path": "Libf0b0/index.js", + "icon": "icon.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/file_translate/icon.jpg b/webui/server/server/applications/file_translate/icon.jpg new file mode 100644 index 0000000000000000000000000000000000000000..216fe2691bc905e303a14a7cca5174ed188ea52c Binary files /dev/null and b/webui/server/server/applications/file_translate/icon.jpg differ diff --git a/webui/server/server/applications/file_translate/main.py b/webui/server/server/applications/file_translate/main.py new file mode 100644 index 0000000000000000000000000000000000000000..4962ba07b1229a63da15a80b140c3aa0a3aa0b7c --- /dev/null +++ b/webui/server/server/applications/file_translate/main.py @@ -0,0 +1,18 @@ +async def main(messages, input, output_callback): + from GeneralAgent import skills + import json + + data = json.loads(input)['data'] + file_path = data['file'] + language = data.get('language', 'chinese') + + content = skills.read_file_content(file_path) + translated_content = skills.translate_text(content, language) + + # print(content) + # print(translated_content) + + output_file_path = skills.unique_name() + '.txt' + skills.write_file_content(output_file_path, translated_content) + + await output_callback(f'Translated file: [{output_file_path}](sandbox:{output_file_path})') \ No newline at end of file diff --git a/webui/server/server/applications/function_builder/bot.json b/webui/server/server/applications/function_builder/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..80c0928468d2b69c03326c9482c5ddfca134f566 --- /dev/null +++ b/webui/server/server/applications/function_builder/bot.json @@ -0,0 +1,7 @@ +{ + "id": "function_builder", + "name": "Function builder", + "description": "Build function by chat, and reuse it in Function Builder or Agent Builder", + "icon": "icon.jpg", + "upload_file": "yes" +} \ No newline at end of file diff --git a/webui/server/server/applications/function_builder/icon.jpg b/webui/server/server/applications/function_builder/icon.jpg new file mode 100644 index 0000000000000000000000000000000000000000..988ecf38d787507dabb6121088a8e77a259e8b11 Binary files /dev/null and b/webui/server/server/applications/function_builder/icon.jpg differ diff --git a/webui/server/server/applications/function_builder/main.py b/webui/server/server/applications/function_builder/main.py new file mode 100644 index 0000000000000000000000000000000000000000..f31ec491aaba4820649c39e0ce57de9acb112f6f --- /dev/null +++ b/webui/server/server/applications/function_builder/main.py @@ -0,0 +1,5 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + agent = await skills.get_function_builder_agent() + await agent.run(input, output_callback=output_callback) \ No newline at end of file diff --git a/webui/server/server/applications/gpt4/bot.json b/webui/server/server/applications/gpt4/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..61b119acbef3bd4a4eef9c05ce5c27d493a5620a --- /dev/null +++ b/webui/server/server/applications/gpt4/bot.json @@ -0,0 +1,6 @@ +{ + "id": "gpt4", + "name": "Smart LLM", + "description": "GPT4 | GPT4-turbo | xxx", + "icon": "gpt4.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/gpt4/gpt4.jpg b/webui/server/server/applications/gpt4/gpt4.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f3e84a33a7fa66dae28e1aaf5dde3dd0a7faf1cf Binary files /dev/null and b/webui/server/server/applications/gpt4/gpt4.jpg differ diff --git a/webui/server/server/applications/gpt4/main.py b/webui/server/server/applications/gpt4/main.py new file mode 100644 index 0000000000000000000000000000000000000000..7caa45af5941d92f6553a4281385bd07fde14f1c --- /dev/null +++ b/webui/server/server/applications/gpt4/main.py @@ -0,0 +1,9 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + chat_history = skills.cut_messages(chat_history, 6000) + messages = [{"role": "system", "content": "You are a helpful assistant."}] + chat_history + response = skills.llm_inference(messages, model_type='smart', stream=True) + for token in response: + await output_callback(token) + await output_callback(None) \ No newline at end of file diff --git a/webui/server/server/applications/hello/bot.json b/webui/server/server/applications/hello/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..2589f56515be484627eb85de52ecc8e75a24a0a4 --- /dev/null +++ b/webui/server/server/applications/hello/bot.json @@ -0,0 +1,6 @@ +{ + "id": "hello", + "name": "Hello", + "description": "test", + "icon": "hello.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/hello/hello.jpg b/webui/server/server/applications/hello/hello.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f3e84a33a7fa66dae28e1aaf5dde3dd0a7faf1cf Binary files /dev/null and b/webui/server/server/applications/hello/hello.jpg differ diff --git a/webui/server/server/applications/hello/main.py b/webui/server/server/applications/hello/main.py new file mode 100644 index 0000000000000000000000000000000000000000..3f585780a4a41f5a3eb6e68627fb5f32aaf9851e --- /dev/null +++ b/webui/server/server/applications/hello/main.py @@ -0,0 +1,3 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + await output_callback('hello') \ No newline at end of file diff --git a/webui/server/server/applications/image_creation_agent/bot.json b/webui/server/server/applications/image_creation_agent/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..164fc1d065132735dc86007f744715cdf3391f39 --- /dev/null +++ b/webui/server/server/applications/image_creation_agent/bot.json @@ -0,0 +1,8 @@ +{ + "id": "image_creation_agent", + "type": "agent", + "name": "Image Creation Agent", + "description": "This agent can generate images based on user's description.", + "upload_file": "yes", + "icon": "icon.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/image_creation_agent/icon.jpg b/webui/server/server/applications/image_creation_agent/icon.jpg new file mode 100644 index 0000000000000000000000000000000000000000..74595c9d92afafbe0faa208fe814f75f3e4edccd Binary files /dev/null and b/webui/server/server/applications/image_creation_agent/icon.jpg differ diff --git a/webui/server/server/applications/image_creation_agent/main.py b/webui/server/server/applications/image_creation_agent/main.py new file mode 100644 index 0000000000000000000000000000000000000000..0d8ceea16af0e1e3a6d1c712376279317c509e24 --- /dev/null +++ b/webui/server/server/applications/image_creation_agent/main.py @@ -0,0 +1,15 @@ +async def main(messages, input, output_callback): + from GeneralAgent.agent import Agent + from GeneralAgent import skills + + role_prompt = """ +You are a image creator. +You complete user requirements by writing python code to call the predefined functions. +You should convert the user's needs into the description of the image's content and then pass it to image_generation. +response markdown format text to user. +""" + functions = [ + skills.image_generation + ] + agent = Agent.with_functions(functions, role_prompt) + await agent.run(input, output_callback=output_callback) \ No newline at end of file diff --git a/webui/server/server/applications/stable_diffusion_xl/bot.json b/webui/server/server/applications/stable_diffusion_xl/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..6d25b9f0bd1969c4142d92cf840f68a3d6defa47 --- /dev/null +++ b/webui/server/server/applications/stable_diffusion_xl/bot.json @@ -0,0 +1,6 @@ +{ + "id": "stable_diffusion_xl", + "name": "Stable Diffusion", + "description": "Stable Diffusion XL", + "icon": "icon.png" +} \ No newline at end of file diff --git a/webui/server/server/applications/stable_diffusion_xl/icon.png b/webui/server/server/applications/stable_diffusion_xl/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..8aaf532e6b0c50456ba3b0d023083c61af42b839 Binary files /dev/null and b/webui/server/server/applications/stable_diffusion_xl/icon.png differ diff --git a/webui/server/server/applications/stable_diffusion_xl/main.py b/webui/server/server/applications/stable_diffusion_xl/main.py new file mode 100644 index 0000000000000000000000000000000000000000..62191a6d0eaecf0e88d2c954a9942863c3e82c72 --- /dev/null +++ b/webui/server/server/applications/stable_diffusion_xl/main.py @@ -0,0 +1,5 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + image_path = skills.image_generation(input) + await file_callback(image_path) \ No newline at end of file diff --git a/webui/server/server/applications/tts/bot.json b/webui/server/server/applications/tts/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..658cf37956f7457da28118bea437bd68b789329b --- /dev/null +++ b/webui/server/server/applications/tts/bot.json @@ -0,0 +1,7 @@ +{ + "id": "tts", + "name": "TTS", + "description": "Text To Speech", + "icon": "icon.png", + "upload_file": "yes" +} \ No newline at end of file diff --git a/webui/server/server/applications/tts/icon.png b/webui/server/server/applications/tts/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..1462c1c455da2ba112777c975801843264271809 Binary files /dev/null and b/webui/server/server/applications/tts/icon.png differ diff --git a/webui/server/server/applications/tts/main.py b/webui/server/server/applications/tts/main.py new file mode 100644 index 0000000000000000000000000000000000000000..6beb6ef0b78c6ccdbf6704edb0ea34989f131550 --- /dev/null +++ b/webui/server/server/applications/tts/main.py @@ -0,0 +1,10 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + text = input + if file_path is not None: + text = skills.read_file_content(file_path) + save_path = skills.unique_name() + '.mp3' + await skills.text_to_speech(text, save_path) + await file_callback(save_path) + \ No newline at end of file diff --git a/webui/server/server/applications/video_generation_agent/bot.json b/webui/server/server/applications/video_generation_agent/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..f60ca726ecb4caffaa18b768efe5f2da6a290737 --- /dev/null +++ b/webui/server/server/applications/video_generation_agent/bot.json @@ -0,0 +1,8 @@ +{ + "id": "video_generation_agent", + "type": "agent", + "name": "Video Generation Agent", + "description": "A video generation agent application that can generate videos according to user requirements.", + "upload_file": "yes", + "icon": "icon.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/video_generation_agent/icon.jpg b/webui/server/server/applications/video_generation_agent/icon.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6b716bd31a483d45dc5c7e6da4dcbca4952acf10 Binary files /dev/null and b/webui/server/server/applications/video_generation_agent/icon.jpg differ diff --git a/webui/server/server/applications/video_generation_agent/main.py b/webui/server/server/applications/video_generation_agent/main.py new file mode 100644 index 0000000000000000000000000000000000000000..a95c0f58d0a410b3df4d167d32eacafd69248372 --- /dev/null +++ b/webui/server/server/applications/video_generation_agent/main.py @@ -0,0 +1,23 @@ +async def main(messages, input, output_callback): + from GeneralAgent.agent import Agent + from GeneralAgent import skills + + role_prompt = """ +You are a video generator, write one piece of code which contains all steps to generate videos according to user requirements. +""" + + functions = [ + skills.image_generation, + skills.face_restoration, + skills.stable_video_diffusion, + skills.concatenate_videos, + skills.text_to_speech, + skills.generate_music, + skills.merge_video_audio + ] + + agent = Agent.with_functions(functions) + agent.add_role_prompt(role_prompt) + await agent.run(input, output_callback=output_callback) + + diff --git a/webui/server/server/applications/xiaohongshu/bot.json b/webui/server/server/applications/xiaohongshu/bot.json new file mode 100644 index 0000000000000000000000000000000000000000..6835bb236c989062b10ffc96a245ae6bc978a4c3 --- /dev/null +++ b/webui/server/server/applications/xiaohongshu/bot.json @@ -0,0 +1,6 @@ +{ + "id": "xiaohongshu", + "name": "小红书", + "description": "小红书风格文案", + "icon": "icon.jpg" +} \ No newline at end of file diff --git a/webui/server/server/applications/xiaohongshu/icon.jpg b/webui/server/server/applications/xiaohongshu/icon.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cba672e1401088a55f4418c559bdad48eb34a08b Binary files /dev/null and b/webui/server/server/applications/xiaohongshu/icon.jpg differ diff --git a/webui/server/server/applications/xiaohongshu/main.py b/webui/server/server/applications/xiaohongshu/main.py new file mode 100644 index 0000000000000000000000000000000000000000..06d704dfc2dac81843f61541cdc8f1da93e89600 --- /dev/null +++ b/webui/server/server/applications/xiaohongshu/main.py @@ -0,0 +1,9 @@ + +async def main(chat_history, input, file_path, output_callback, file_callback, ui_callback): + from GeneralAgent import skills + system_prompt = "Please edit the following passage using the Emoji style, which is characterized by captivating headlines, the inclusion of emoticons in each paragraph, and the addition of relevant tags at the end. Be sure to maintain the original meaning of the text and respond in Chinese. Please begin by editing the following text: " + input + messages = [{"role": "system", "content": system_prompt}] + response = skills.llm_inference(messages, stream=True) + for token in response: + await output_callback(token) + await output_callback(None) \ No newline at end of file diff --git a/webui/server/server/ts_builder/.eslintignore b/webui/server/server/ts_builder/.eslintignore new file mode 100644 index 0000000000000000000000000000000000000000..2c7ea48ead3aba93a30e2fcd148d61eed91a776d --- /dev/null +++ b/webui/server/server/ts_builder/.eslintignore @@ -0,0 +1,2 @@ +build/* +/**/*.d.ts \ No newline at end of file diff --git a/webui/server/server/ts_builder/.eslintrc.json b/webui/server/server/ts_builder/.eslintrc.json new file mode 100644 index 0000000000000000000000000000000000000000..d614b0b2fe0ade82ef83702bf53958dff550bf40 --- /dev/null +++ b/webui/server/server/ts_builder/.eslintrc.json @@ -0,0 +1,31 @@ +{ + "parser": "@typescript-eslint/parser", + "parserOptions": { + "ecmaVersion": 6, + "sourceType": "module", + "ecmaFeatures": { + "modules": true, + "experimentalObjectRestSpread": true + } + }, + "plugins": ["@typescript-eslint"], + "extends": ["eslint:recommended", "plugin:@typescript-eslint/recommended"], + "rules": { + "comma-dangle": 0, + "no-unused-vars": "warn", + "no-unexpected-multiline": "warn", + "prefer-const": "warn", + "@typescript-eslint/no-empty-function": "off", + "@typescript-eslint/explicit-module-boundary-types": "off", + "@typescript-eslint/no-explicit-any": "off", + "@typescript-eslint/no-var-requires": "off" + }, + "settings": {}, + "env": { + "browser": true, + "node": true, + "jasmine": true, + "jest": true, + "es6": true + } +} diff --git a/webui/server/server/ts_builder/.gitignore b/webui/server/server/ts_builder/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..3b97951d578599b51c745d3952f671636e9476ed --- /dev/null +++ b/webui/server/server/ts_builder/.gitignore @@ -0,0 +1,22 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local +.vscode + +npm-debug.log* +yarn-debug.log* +yarn-error.log* +/build/* diff --git a/webui/server/server/ts_builder/.npmignore b/webui/server/server/ts_builder/.npmignore new file mode 100644 index 0000000000000000000000000000000000000000..d36841e9746c0f19dc5686a11a1080150c213076 --- /dev/null +++ b/webui/server/server/ts_builder/.npmignore @@ -0,0 +1,36 @@ +# dependencies +/node_modules + +# testing +/tests +/coverage + +# docs +/docs + +# misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local +/.github +/demo +.esdoc.json + +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Development folders and files +public +src +scripts +config +.travis.yml +CHANGELOG.md +README.md +.eslintignore +.eslintrc.json +webpack.config.js +babel.config.js \ No newline at end of file diff --git a/webui/server/server/ts_builder/babel.config.js b/webui/server/server/ts_builder/babel.config.js new file mode 100644 index 0000000000000000000000000000000000000000..c0f797d68fe381ac6129bc0baa6974a51971596a --- /dev/null +++ b/webui/server/server/ts_builder/babel.config.js @@ -0,0 +1,7 @@ +module.exports = { + presets: ['@babel/env', '@babel/preset-react', '@babel/preset-typescript'], + plugins: [ + ["@babel/plugin-proposal-class-properties"], + ["@babel/plugin-transform-typescript"], + ], +}; diff --git a/webui/server/server/ts_builder/package-lock.json b/webui/server/server/ts_builder/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..719fdbc54629b3262ed3052d25260ef074bca5f7 --- /dev/null +++ b/webui/server/server/ts_builder/package-lock.json @@ -0,0 +1,24145 @@ +{ + "name": "ts_builder", + "version": "1.1.250", + "lockfileVersion": 2, + "requires": true, + 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"Typescript Minimal Starter Kit for building libraries", + "main": "build/index.js", + "types": "build/types/index.d.ts", + "scripts": { + "start": "webpack serve --config webpack.config.demo.js", + "build": "webpack && tsc", + "build:demo": "webpack --config webpack.config.demo.js", + "test": "jest --silent", + "coverage": "npm run test -- --coverage", + "prepare": "npm run build", + "trypublish": "npm publish || true" + }, + "repository": { + "type": "git", + "url": "https://github.com/hodgef/ts-library-boilerplate-basic" + }, + "author": "Francisco Hodge <hello@franciscohodge.com> (https://github.com/hodgef)", + "license": "MIT", + "bugs": { + "url": "https://github.com/hodgef/ts-library-boilerplate-basic/issues" + }, + "homepage": "https://github.com/hodgef/ts-library-boilerplate-basic", + "keywords": [ + "library", + "starter", + "es6" + ], + "devDependencies": { + "@babel/cli": "^7.23.0", + "@babel/core": "^7.23.2", + "@babel/plugin-proposal-class-properties": "^7.16.0", + "@babel/plugin-transform-typescript": "^7.22.15", + "@babel/polyfill": "^7.12.1", + "@babel/preset-env": "^7.23.2", + "@babel/preset-react": "^7.22.15", + "@babel/preset-typescript": "^7.23.2", + "@types/jest": "^29.5.6", + "@types/react": "^18.2.32", + "@typescript-eslint/eslint-plugin": "^4.33.0", + "@typescript-eslint/parser": "^4.33.0", + "babel-eslint": "^10.1.0", + "babel-loader": "^9.1.3", + "babel-preset-minify": "^0.5.2", + "css-loader": "^6.8.1", + "css-minimizer-webpack-plugin": "^5.0.1", + "eslint": "^7.32.0", + "file-loader": "^6.2.0", + "html-webpack-plugin": "^5.5.3", + "jest": "^29.7.0", + "mini-css-extract-plugin": "^2.7.6", + "style-loader": "^3.3.2", + "terser-webpack-plugin": "^5.3.9", + "typescript": "^4.9.5", + "url-loader": "^4.1.1", + "webpack": "^5.89.0", + "webpack-cli": "^5.1.4", + "webpack-dev-server": "4.13.3" + }, + "jest": { + "moduleNameMapper": { + "\\.(jpg|jpeg|png|gif|eot|otf|webp|svg|ttf|woff|woff2|mp4|webm|wav|mp3|m4a|aac|oga)$": "<rootDir>/scripts/testMock.js", + "\\.(css|less)$": "<rootDir>/scripts/testMock.js" + }, + "moduleFileExtensions": [ + "web.js", + "js", + "web.ts", + "ts", + "web.tsx", + "tsx", + "json", + "web.jsx", + "jsx", + "node" + ] + }, + "dependencies": { + "antd": "5.5.2", + "react": "^18.2.0" + }, + "peerDependencies": { + "antd": "5.5.2", + "react": "^18.2.0" + } +} diff --git a/webui/server/server/ts_builder/scripts/getPackageJson.js b/webui/server/server/ts_builder/scripts/getPackageJson.js new file mode 100644 index 0000000000000000000000000000000000000000..fe44d4b5d5756151b9f8d92b2acbc3251ebaa597 --- /dev/null +++ b/webui/server/server/ts_builder/scripts/getPackageJson.js @@ -0,0 +1,25 @@ +const fs = require('fs'); +const path = require('path'); + +/** + * A module to get package informations from package.json + * @module getPackageJson + * @param {...string} keys from package.json if no arguments passed it returns package.json content as object + * @returns {object} with given keys or content of package.json as object + */ + +/** + * Returns package info + */ +const getPackageJson = function(...args) { + const packageJSON = JSON.parse(fs.readFileSync(path.join(__dirname, '../package.json'))); + if (!args.length) { + return packageJSON; + } + return args.reduce((out, key) => { + out[key] = packageJSON[key]; + return out; + }, {}); +}; + +module.exports = getPackageJson; \ No newline at end of file diff --git a/webui/server/server/ts_builder/scripts/testMock.js b/webui/server/server/ts_builder/scripts/testMock.js new file mode 100644 index 0000000000000000000000000000000000000000..a0995453769c8a76594b879c09c58064530c155a --- /dev/null +++ b/webui/server/server/ts_builder/scripts/testMock.js @@ -0,0 +1 @@ +module.exports = {}; \ No newline at end of file diff --git a/webui/server/server/ts_builder/src/.keep b/webui/server/server/ts_builder/src/.keep new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/webui/server/server/ts_builder/src/lib/index.tsx b/webui/server/server/ts_builder/src/lib/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..dab931296d54fd854613ddf87c29ddeaf5d982d1 --- /dev/null +++ b/webui/server/server/ts_builder/src/lib/index.tsx @@ -0,0 +1,53 @@ +const React = (window as any).React; +const antd = (window as any).antd; + +interface Props { + save_data: (user_data:any)=>void, + FileUploadConponent: (props: {onUploadSuccess: (file_path: string) => void, title?: string}) => React.ReactElement +} + +const Lib2257 = (props: Props) => { + const [file1Path, setFile1Path] = React.useState(""); + const [file2Path, setFile2Path] = React.useState(""); + const [outputPath, setOutputPath] = React.useState(""); + + const handleFile1UploadSuccess = (path: string) => { + setFile1Path(path); + }; + + const handleFile2UploadSuccess = (path: string) => { + setFile2Path(path); + }; + + const handleCommit = () => { + const allDataShouldSave = { + file1Path, + file2Path, + outputPath + }; + props.save_data(allDataShouldSave); + }; + + return ( + <> + <props.FileUploadConponent + onUploadSuccess={handleFile1UploadSuccess} + title="Select File 1" + /> + <props.FileUploadConponent + onUploadSuccess={handleFile2UploadSuccess} + title="Select File 2" + /> + <antd.Input + value={outputPath} + onChange={(e: any) => setOutputPath(e.target.value)} + placeholder="Output File Path" + /> + <antd.Button type="primary" onClick={handleCommit}> + Save + </antd.Button> + </> + ); +}; + +export default Lib2257; \ No newline at end of file diff --git a/webui/server/server/ts_builder/tsconfig.json b/webui/server/server/ts_builder/tsconfig.json new file mode 100644 index 0000000000000000000000000000000000000000..fd9bdb6896a301665d2a26084cd7896c0a4eedc2 --- /dev/null +++ b/webui/server/server/ts_builder/tsconfig.json @@ -0,0 +1,18 @@ +{ + "compilerOptions": { + "noImplicitAny": true, + "outDir": "build/types", + "module": "esnext", + "target": "es5", + "allowJs": true, + "sourceMap": true, + "declaration": true, + "emitDeclarationOnly": true, + "allowSyntheticDefaultImports": true, + "lib": ["es2018", "dom"], + "moduleResolution": "node", + "jsx": "react-jsx" + }, + "include": ["src/lib"], + "exclude": ["src/lib/**/tests"], +} \ No newline at end of file diff --git a/webui/server/server/ts_builder/webpack.config.demo.js b/webui/server/server/ts_builder/webpack.config.demo.js new file mode 100644 index 0000000000000000000000000000000000000000..d85be006220bae05c6bac8c71d8f4d58c3056a65 --- /dev/null +++ b/webui/server/server/ts_builder/webpack.config.demo.js @@ -0,0 +1,47 @@ +const MiniCssExtractPlugin = require("mini-css-extract-plugin"); +const HtmlWebpackPlugin = require('html-webpack-plugin'); + +module.exports = { + mode: "development", + devtool: 'cheap-module-source-map', + entry: './src/demo/index.tsx', + output: { + filename: 'index.js' + }, + optimization: { + minimize: false, + }, + devServer: { + open: true, + hot: true, + host: "localhost", + port: 9000 + }, + module: { + rules: [ + { + test: /\.(m|j|t)s$/, + exclude: /(node_modules|bower_components)/, + use: { + loader: 'babel-loader' + } + }, + { + test: /\.(sa|sc|c)ss$/, + use: [ + MiniCssExtractPlugin.loader, + { loader: "css-loader", options: { sourceMap: true } }, + ], + } + ] + }, + plugins: [ + new MiniCssExtractPlugin({ + filename: 'css/index.css' + }), + new HtmlWebpackPlugin(), + ], + resolve: { + extensions: ['.ts', '.js', '.json'] + } +}; \ No newline at end of file diff --git a/webui/server/server/ts_builder/webpack.config.js b/webui/server/server/ts_builder/webpack.config.js new file mode 100644 index 0000000000000000000000000000000000000000..59404e530c39ab62c066e5ca1e98efd66c35b243 --- /dev/null +++ b/webui/server/server/ts_builder/webpack.config.js @@ -0,0 +1,78 @@ +const path = require('path'); +const webpack = require('webpack'); +const TerserPlugin = require('terser-webpack-plugin'); +const getPackageJson = require('./scripts/getPackageJson'); +const MiniCssExtractPlugin = require("mini-css-extract-plugin"); +const CssMinimizerPlugin = require("css-minimizer-webpack-plugin"); + +const { + version, + name, + license, + repository, + author, +} = getPackageJson('version', 'name', 'license', 'repository', 'author'); + +const banner = ` + ${name} v${version} + ${repository.url} + + Copyright (c) ${author.replace(/ *<[^)]*> */g, " ")} and project contributors. + + This source code is licensed under the ${license} license found in the + LICENSE file in the root directory of this source tree. +`; + +module.exports = { + mode: "production", + devtool: 'source-map', + entry: './src/lib/index.tsx', + output: { + filename: 'index.js', + path: path.resolve(__dirname, 'build'), + library: "LibTest", + libraryTarget: 'umd', + clean: true + }, + externals: { + react: 'window.react', + // antd: 'window.Button' + }, + optimization: { + minimize: true, + minimizer: [ + new TerserPlugin({ extractComments: false }), + new CssMinimizerPlugin() + ], + }, + module: { + rules: [ + { + test: /\.(m|j|t)sx?$/, + exclude: /(node_modules|bower_components)/, + use: { + loader: 'babel-loader', + options: { + presets: ['@babel/preset-env', '@babel/preset-react'], + }, + }, + }, + { + test: /\.(sa|sc|c)ss$/, + use: [ + MiniCssExtractPlugin.loader, + { loader: "css-loader", options: { sourceMap: true } }, + ], + } + ] + }, + plugins: [ + new MiniCssExtractPlugin({ + filename: 'css/index.css' + }), + new webpack.BannerPlugin(banner) + ], + resolve: { + extensions: ['.ts', '.js', '.json', '.jsx', '.tsx'] + } +}; diff --git a/webui/server/server/ts_builder/webpack.config.template.js b/webui/server/server/ts_builder/webpack.config.template.js new file mode 100644 index 0000000000000000000000000000000000000000..dd5b357c89efda7b43f70692c81035d1e8aad285 --- /dev/null +++ b/webui/server/server/ts_builder/webpack.config.template.js @@ -0,0 +1,78 @@ +const path = require('path'); +const webpack = require('webpack'); +const TerserPlugin = require('terser-webpack-plugin'); +const getPackageJson = require('./scripts/getPackageJson'); +const MiniCssExtractPlugin = require("mini-css-extract-plugin"); +const CssMinimizerPlugin = require("css-minimizer-webpack-plugin"); + +const { + version, + name, + license, + repository, + author, +} = getPackageJson('version', 'name', 'license', 'repository', 'author'); + +const banner = ` + ${name} v${version} + ${repository.url} + + Copyright (c) ${author.replace(/ *<[^)]*> */g, " ")} and project contributors. + + This source code is licensed under the ${license} license found in the + LICENSE file in the root directory of this source tree. +`; + +module.exports = { + mode: "production", + devtool: 'source-map', + entry: './src/lib/index.tsx', + output: { + filename: 'index.js', + path: path.resolve(__dirname, 'build'), + library: "LibTemplate", + libraryTarget: 'umd', + clean: true + }, + externals: { + react: 'window.react', + // antd: 'window.Button' + }, + optimization: { + minimize: true, + minimizer: [ + new TerserPlugin({ extractComments: false }), + new CssMinimizerPlugin() + ], + }, + module: { + rules: [ + { + test: /\.(m|j|t)sx?$/, + exclude: /(node_modules|bower_components)/, + use: { + loader: 'babel-loader', + options: { + presets: ['@babel/preset-env', '@babel/preset-react'], + }, + }, + }, + { + test: /\.(sa|sc|c)ss$/, + use: [ + MiniCssExtractPlugin.loader, + { loader: "css-loader", options: { sourceMap: true } }, + ], + } + ] + }, + plugins: [ + new MiniCssExtractPlugin({ + filename: 'css/index.css' + }), + new webpack.BannerPlugin(banner) + ], + resolve: { + extensions: ['.ts', '.js', '.json', '.jsx', '.tsx'] + } +}; diff --git a/webui/server/test/base_setting.py b/webui/server/test/base_setting.py new file mode 100644 index 0000000000000000000000000000000000000000..ef768feb60e9ac04e0d9030abaa45bf569093fa7 --- /dev/null +++ b/webui/server/test/base_setting.py @@ -0,0 +1,28 @@ +# 添加上级目录 +import os, sys +import requests +import pytest +import asyncio + +sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +HPPT_HOST = 'http://127.0.0.1:7777' +WS_HOST = HPPT_HOST.replace('http', 'ws') + +def clear_bot(bot_id): + url = HPPT_HOST + '/clear_bot_chats/' + bot_id + result = requests.post(url) + +def get_chats(bot_id): + url = HPPT_HOST + '/chats/' + bot_id + result = requests.get(url) + return result.json() + +def get_messages(bot_id, chat_id): + url = HPPT_HOST + '/messages/' + data = { + 'bot_id': bot_id, + 'chat_id': chat_id + } + result = requests.post(url, json=data) + return result.json() \ No newline at end of file diff --git a/webui/server/test/data/.keep b/webui/server/test/data/.keep new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/webui/server/test/data/ui/index.js b/webui/server/test/data/ui/index.js new file mode 100644 index 0000000000000000000000000000000000000000..984cdcd4258854e1d3afa685550dd000b4aa991c --- /dev/null +++ b/webui/server/test/data/ui/index.js @@ -0,0 +1,13 @@ +/*! + * + * ts_builder v1.1.250 + * https://github.com/hodgef/ts-library-boilerplate-basic + * + * Copyright (c) Francisco Hodge (https://github.com/hodgef) and project contributors. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + * + */ +!function(e,t){"object"==typeof exports&&"object"==typeof module?module.exports=t():"function"==typeof define&&define.amd?define([],t):"object"==typeof exports?exports.MyLibrary=t():e.MyLibrary=t()}(self,(()=>(()=>{"use strict";var e={d:(t,r)=>{for(var n in r)e.o(r,n)&&!e.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:r[n]})},o:(e,t)=>Object.prototype.hasOwnProperty.call(e,t),r:e=>{"undefined"!=typeof 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property getters","webpack://MyLibrary/webpack/runtime/hasOwnProperty shorthand","webpack://MyLibrary/webpack/runtime/make namespace object","webpack://MyLibrary/./src/lib/index.tsx"],"sourcesContent":["(function webpackUniversalModuleDefinition(root, factory) {\n\tif(typeof exports === 'object' && typeof module === 'object')\n\t\tmodule.exports = factory();\n\telse if(typeof define === 'function' && define.amd)\n\t\tdefine([], factory);\n\telse if(typeof exports === 'object')\n\t\texports[\"MyLibrary\"] = factory();\n\telse\n\t\troot[\"MyLibrary\"] = factory();\n})(self, () => {\nreturn ","// The require scope\nvar __webpack_require__ = {};\n\n","// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","// define __esModule on exports\n__webpack_require__.r = (exports) => {\n\tif(typeof Symbol !== 'undefined' && Symbol.toStringTag) {\n\t\tObject.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });\n\t}\n\tObject.defineProperty(exports, '__esModule', { value: true });\n};","const React = (window as any).React;\nconst antd = (window as any).antd;\n\nconst MyLibrary = () => {\n const { Form, Input, Button, Modal } = antd;\n const [visible, setVisible] = React.useState(false);\n const [summary, setSummary] = React.useState('');\n \n const onFinish = (values: any) => {\n const { name, address, phone } = values;\n const summary = `姓名: ${name}\\n家庭住址: ${address}\\n手机号: ${phone}`;\n setSummary(summary);\n setVisible(true);\n };\n \n const handleOk = () => {\n setVisible(false);\n };\n \n const handleCancel = () => {\n setVisible(false);\n };\n \n return (\n <div>\n <Form onFinish={onFinish}>\n <Form.Item\n label=\"姓名\"\n name=\"name\"\n rules={[{ required: true, message: '请输入姓名' }]}\n >\n <Input />\n </Form.Item>\n \n <Form.Item\n label=\"家庭住址\"\n name=\"address\"\n rules={[{ required: true, message: '请输入家庭住址' }]}\n >\n <Input />\n </Form.Item>\n \n <Form.Item\n label=\"手机号\"\n name=\"phone\"\n rules={[{ required: true, message: '请输入手机号' }]}\n >\n <Input />\n </Form.Item>\n \n <Form.Item>\n <Button type=\"primary\" htmlType=\"submit\">\n 提交\n </Button>\n </Form.Item>\n </Form>\n \n <Modal\n title=\"提交内容概要\"\n visible={visible}\n onOk={handleOk}\n onCancel={handleCancel}\n >\n <p>{summary}</p>\n </Modal>\n </div>\n );\n };\n \n// export default MyLibrary;\n\nexport default MyLibrary;"],"names":["root","factory","exports","module","define","amd","self","__webpack_require__","definition","key","o","Object","defineProperty","enumerable","get","obj","prop","prototype","hasOwnProperty","call","Symbol","toStringTag","value","React","window","antd","Form","Input","Button","Modal","_React$useState2","_slicedToArray","useState","visible","setVisible","_React$useState4","summary","setSummary","createElement","onFinish","values","name","address","phone","concat","Item","label","rules","required","message","type","htmlType","title","onOk","onCancel"],"sourceRoot":""} \ No newline at end of file diff --git a/webui/server/test/data/ui/types/index.d.ts b/webui/server/test/data/ui/types/index.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..2984785bc81e122749fc31443f0af7a31db8e139 --- /dev/null +++ b/webui/server/test/data/ui/types/index.d.ts @@ -0,0 +1,2 @@ +declare const MyLibrary: () => boolean; +export default MyLibrary; diff --git a/webui/server/test/test_app.py b/webui/server/test/test_app.py new file mode 100644 index 0000000000000000000000000000000000000000..62fbcbb86ff3e6f0d0add93c26f28ceb90f46b09 --- /dev/null +++ b/webui/server/test/test_app.py @@ -0,0 +1,46 @@ +from base_setting import * +import requests +import pytest +import shutil +import asyncio + +def test_bot_list(): + url = HPPT_HOST + '/bot/list' + r = requests.get(url) + assert r.status_code == 200 + bot_list = r.json() + assert len(bot_list) > 0 + ids = [bot['id'] for bot in bot_list] + assert 'hello' in ids + +def test_file(): + path = os.path.join(os.path.dirname(__file__), '../server/applications/hello/hello.jpg') + url = HPPT_HOST + '/system/file/' + path + # 获取图片 + r = requests.get(url) + assert r.status_code == 200 + assert r.headers['Content-Type'] == 'image/jpeg' + # 获取不存在的图片 + path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../applications/hello/hello1.jpg')) + url = HPPT_HOST + '/system/file/' + path + r = requests.get(url) + assert r.status_code == 404 + +# @pytest.mark.asyncio +# async def test_load_application(): +# from GeneralAgent import skills +# application_module = skills.get_application_module('hello') +# assert application_module is not None +# assert hasattr(application_module, 'main') +# result = '' +# async def _output(token): +# nonlocal result +# result += token +# await application_module.main(None, None, None, _output) +# assert 'hello' in result + + +if __name__ == '__main__': + # test_bot_list() + # test_file() + asyncio.run(test_load_application()) \ No newline at end of file diff --git a/webui/server/test/test_chat.py b/webui/server/test/test_chat.py new file mode 100644 index 0000000000000000000000000000000000000000..09e35d023e6f80f4b9c0c9765f901534e9bf4940 --- /dev/null +++ b/webui/server/test/test_chat.py @@ -0,0 +1,93 @@ +from base_setting import * +import websockets +import logging +import json +from dataclasses import dataclass +from typing import Optional +from datetime import datetime +import uuid + +@dataclass +class Message(): + type: Optional[str] = 'message' # token | message + id: Optional[str] = None + role: Optional[str] = '' # user / bot + bot_id: Optional[str] = '' # bot id + chat_id: Optional[str] = '' # chat id + create_at: Optional[str] = None + msg: Optional[str] = '' + file: Optional[str] = '' + ui: Optional[str] = '' # UI组件(js, name, data) + extention: Optional[str] = None # 扩展字段 + + def __post_init__(self): + if self.create_at is None: + self.create_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S:%f") + if self.id is None: + self.id = str(uuid.uuid4()) + + def response_template(self, is_token=False): + new_message = Message( + role='bot', + bot_id=self.bot_id, + chat_id=self.chat_id, + type='token' if is_token else 'message', + ) + return new_message + + def to_text(self): + data = { + 'type': 'message', + 'data': self.__dict__ + } + return json.dumps(data) + +@pytest.mark.asyncio +async def test_user_chat(): + bot_id = 'hello' + clear_bot(bot_id) + ws_url = WS_HOST + "/ws/user/" + async with websockets.connect(ws_url) as ws: + # 发送消息 + msg = '1 + 1 = ?' + message = Message(bot_id=bot_id, msg=msg) + await ws.send(message.to_text()) + logging.debug('send message success') + # 接收消息， + # 第一条: 发送成功的消息 + res = await ws.recv() + message: Message = Message(**json.loads(res)['data']) + logging.debug(message) + logging.debug(message) + assert msg.strip() == message.msg.strip() + assert message.chat_id != '' + # 回复消息: token + message + result = '' + msg_id = None + while True: + res = await ws.recv() + obj = json.loads(res) + if obj['type'] == 'message': + message = Message(**obj['data']) + if message.type == 'token': + result += message.msg + msg_id = message.id + continue + else: + assert result == message.msg + assert 'hello' in message.msg + assert msg_id is not None + logging.debug(msg_id, message.id) + assert msg_id == message.id + break + # 获取chats列表 + chats = get_chats(bot_id) + assert len(chats) == 1 + chat_id = chats[0]['id'] + # 获取messages列表 + messages = get_messages(bot_id, chat_id) + assert len(messages) == 2 + clear_bot(bot_id) + +if __name__ == '__main__': + asyncio.run(test_user_chat()) \ No newline at end of file diff --git a/webui/web/.gitignore b/webui/web/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..4d29575de80483b005c29bfcac5061cd2f45313e --- /dev/null +++ b/webui/web/.gitignore @@ -0,0 +1,23 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# production +/build + +# misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* diff --git a/webui/web/package-lock.json b/webui/web/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..183a99dc9ad2bfbea11854ad98360a3edd9057da --- /dev/null +++ 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0000000000000000000000000000000000000000..1b0a8a55db1e05df83c1eca14a8ad1d59fafc1e8 --- /dev/null +++ b/webui/web/package.json @@ -0,0 +1,62 @@ +{ + "name": "web", + "version": "0.1.0", + "private": true, + "dependencies": { + "@ant-design/icons": "^5.1.4", + "@reduxjs/toolkit": "^1.9.5", + "@testing-library/jest-dom": "^5.16.5", + "@testing-library/react": "^13.4.0", + "@testing-library/user-event": "^13.5.0", + "@types/jest": "^27.5.2", + "@types/react": "^18.2.8", + "@types/react-dom": "^18.2.4", + "antd": "5.5.2", + "axios": "^1.4.0", + "dexie": "^3.2.4", + "dexie-react-hooks": "^1.1.6", + "html-react-parser": "^5.0.6", + "js-cookie": "^3.0.5", + "qrcode.react": "^3.1.0", + "react": "^18.2.0", + "react-center": "^1.1.1", + "react-dom": "^18.2.0", + "react-infinite-scroll-component": "^6.1.0", + "react-redux": "^8.0.7", + "react-router-dom": "^6.12.0", + "react-scripts": "5.0.1", + "react-tencent-captcha": "^2.0.4", + "remarkable": "^2.0.1", + "typescript": "^4.9.5", + "web-vitals": "^2.1.4" + }, + "scripts": { + "start": "react-scripts start", + "build": "react-scripts build", + "test": "react-scripts test", + "eject": "react-scripts eject" + }, + "eslintConfig": { + "extends": [ + "react-app", + "react-app/jest" + ] + }, + "browserslist": { + "production": [ + ">0.2%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 1 chrome version", + "last 1 firefox version", + "last 1 safari version" + ] + }, + "devDependencies": { + "@types/js-cookie": "^3.0.3", + "@types/node": "^20.2.5", + "@types/remarkable": "^2.0.8" + } +} diff --git a/webui/web/public/favicon.ico b/webui/web/public/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..10382fc5a0b5748faf650718ae2f397535a02ede Binary files /dev/null and b/webui/web/public/favicon.ico differ diff --git a/webui/web/public/index.html b/webui/web/public/index.html new file mode 100644 index 0000000000000000000000000000000000000000..9ea084875f466c39109bb583ba21ab9193e4507f --- /dev/null +++ b/webui/web/public/index.html @@ -0,0 +1,51 @@ +<!DOCTYPE html> +<html lang="en"> + <head> + <meta charset="utf-8" /> + <link rel="icon" href="%PUBLIC_URL%/favicon.ico" /> + <meta name="viewport" content="width=device-width, initial-scale=1" /> + <meta name="theme-color" content="#ffffff" /> + <meta + name="description" + content="Web site created using create-react-app" + /> + <!-- <link rel="apple-touch-icon" href="%PUBLIC_URL%/logo192.png" /> --> + <!-- + manifest.json provides metadata used when your web app is installed on a + user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/ + --> + <link rel="manifest" href="%PUBLIC_URL%/manifest.json" /> + <!-- + Notice the use of %PUBLIC_URL% in the tags above. + It will be replaced with the URL of the `public` folder during the build. + Only files inside the `public` folder can be referenced from the HTML. + + Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will + work correctly both with client-side routing and a non-root public URL. + Learn how to configure a non-root public URL by running `npm run build`. + --> + <title>General Agent WebUI + + + + + + + + + + + +
+ + + diff --git a/webui/web/public/manifest.json b/webui/web/public/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bc2d88e439ec772b159ab00ab98888b5546d490a --- /dev/null +++ b/webui/web/public/manifest.json @@ -0,0 +1,25 @@ +{ + "short_name": "Assistant", + "name": "Assistant", + "icons": [ + { + "src": "favicon.ico", + "sizes": "64x64 32x32 24x24 16x16", + "type": "image/x-icon" + }, + { + "src": "logo192.png", + "type": "image/png", + "sizes": "192x192" + }, + { + "src": "logo512.png", + "type": "image/png", + "sizes": "512x512" + } + ], + "start_url": ".", + "display": "standalone", + "theme_color": "#000000", + "background_color": "#ffffff" +} diff --git a/webui/web/public/products/app_store.jpeg b/webui/web/public/products/app_store.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..43b9fd432ca431a7682215cc506ea6ac30fd1479 Binary files /dev/null and b/webui/web/public/products/app_store.jpeg differ diff --git a/webui/web/public/products/default_bot.png b/webui/web/public/products/default_bot.png new file mode 100644 index 0000000000000000000000000000000000000000..caada5d150195a6288d6a183b7b72603efbab4dd Binary files /dev/null and b/webui/web/public/products/default_bot.png differ diff --git a/webui/web/public/products/default_bot1.png b/webui/web/public/products/default_bot1.png new file mode 100644 index 0000000000000000000000000000000000000000..10382fc5a0b5748faf650718ae2f397535a02ede Binary files /dev/null and b/webui/web/public/products/default_bot1.png differ diff --git a/webui/web/public/products/default_user.png b/webui/web/public/products/default_user.png new file mode 100644 index 0000000000000000000000000000000000000000..fbda87b70b40b0648ec063e753a0e8f84f504313 Binary files /dev/null and b/webui/web/public/products/default_user.png differ diff --git a/webui/web/public/products/personal_setting.jpeg b/webui/web/public/products/personal_setting.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..b723cfa9703cbf3405b04356df00fd1022d17d84 Binary files /dev/null and b/webui/web/public/products/personal_setting.jpeg differ diff --git a/webui/web/public/robots.txt b/webui/web/public/robots.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9e57dc4d41b9b46e05112e9f45b7ea6ac0ba15e --- /dev/null +++ b/webui/web/public/robots.txt @@ -0,0 +1,3 @@ +# https://www.robotstxt.org/robotstxt.html +User-agent: * +Disallow: diff --git a/webui/web/src/App.css b/webui/web/src/App.css new file mode 100644 index 0000000000000000000000000000000000000000..23417c1ae1c517a6c7e43d05ad02f06568e46f0e --- /dev/null +++ b/webui/web/src/App.css @@ -0,0 +1,38 @@ +.App { + text-align: center; +} + +.App-logo { + height: 40vmin; + pointer-events: none; +} + +@media (prefers-reduced-motion: no-preference) { + .App-logo { + animation: App-logo-spin infinite 20s linear; + } +} + +.App-header { + background-color: #ffffff; + min-height: 100vh; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + font-size: calc(10px + 2vmin); + color: white; +} + +.App-link { + color: #61dafb; +} + +@keyframes App-logo-spin { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} diff --git a/webui/web/src/App.test.tsx b/webui/web/src/App.test.tsx new file mode 100644 index 0000000000000000000000000000000000000000..2a68616d9846ed7d3bfb9f28ca1eb4d51b2c2f84 --- /dev/null +++ b/webui/web/src/App.test.tsx @@ -0,0 +1,9 @@ +import React from 'react'; +import { render, screen } from '@testing-library/react'; +import App from './App'; + +test('renders learn react link', () => { + render(); + const linkElement = screen.getByText(/learn react/i); + expect(linkElement).toBeInTheDocument(); +}); diff --git a/webui/web/src/App.tsx b/webui/web/src/App.tsx new file mode 100644 index 0000000000000000000000000000000000000000..84cddb9b7d23efdfed81887fe0b5908175a42816 --- /dev/null +++ b/webui/web/src/App.tsx @@ -0,0 +1,20 @@ +import './App.css'; +import {Provider} from 'react-redux' +import {store} from './db/redux' +import ChatPage from './pages/chat_page'; +import { WebSocketProvider } from './components/WebSocketProvider'; + + +function App() { + return ( +
+ + + + + +
+ ); +} + +export default App; diff --git a/webui/web/src/components/Lib06f4.tsx b/webui/web/src/components/Lib06f4.tsx new file mode 100644 index 0000000000000000000000000000000000000000..aa3bceea105473366ac24f5c882a149cf9a91e92 --- /dev/null +++ b/webui/web/src/components/Lib06f4.tsx @@ -0,0 +1,59 @@ +// const React = (window as any).React; +// const antd = (window as any).antd; + + +import React from 'react'; +import * as antd from 'antd'; + +interface Props { + save_data: (data:any)=>void, + FileUploadConponent: (props: {onUploadSuccess: (file_path: string) => void, title?: string}) => React.ReactElement +} + +const [Form, DatePicker, Button] = [antd.Form, antd.DatePicker, antd.Button]; + +const Lib06f4 = (props: Props) => { + const [file1Path, setFile1Path] = React.useState(""); + const [file2Path, setFile2Path] = React.useState(""); + const [outputPath, setOutputPath] = React.useState(""); + + const handleFile1UploadSuccess = (path: string) => { + setFile1Path(path); + }; + + const handleFile2UploadSuccess = (path: string) => { + setFile2Path(path); + }; + + const handleCommit = () => { + const allDataShouldSave = { + file1Path, + file2Path, + outputPath + }; + props.save_data(allDataShouldSave); + }; + + return ( + <> + + + setOutputPath(e.target.value)} + placeholder="Output File Path" + /> + + Save + + + ); +}; + +export default Lib06f4; \ No newline at end of file diff --git a/webui/web/src/components/WebSocketContext.tsx b/webui/web/src/components/WebSocketContext.tsx new file mode 100644 index 0000000000000000000000000000000000000000..3f28deb055df7d257f4681388a142aa1b16d5d1b --- /dev/null +++ b/webui/web/src/components/WebSocketContext.tsx @@ -0,0 +1,9 @@ +import React from 'react'; + +export const WebSocketContext = React.createContext<{ + sendMessage: (message: string) => void; + subscribe: (messageHandler: (message: string) => void) => void; +}>({ + sendMessage: () => {}, + subscribe: () => {}, +}); \ No newline at end of file diff --git a/webui/web/src/components/WebSocketProvider.tsx b/webui/web/src/components/WebSocketProvider.tsx new file mode 100644 index 0000000000000000000000000000000000000000..c62dd0af0ae64add077a6168da347b9951d5afcd --- /dev/null +++ b/webui/web/src/components/WebSocketProvider.tsx @@ -0,0 +1,74 @@ +import React, { useEffect, useRef, useState, PropsWithChildren } from 'react'; +import { WebSocketContext } from './WebSocketContext'; +import {WS_HOST} from './api' + +interface Props {} + +export const WebSocketProvider: React.FC> = ({ children }) => { + const socketRef = useRef(null); + const [shouldReconnect, setShouldReconnect] = useState(true); + let reconnectTimerRef: any = null; + + const connectWebSocket = () => { + const socket = new WebSocket(WS_HOST + '/ws/user/'); + console.log('WebSocket连接OK'); + socketRef.current = socket; + socket.onclose = () => { + console.log('WebSocket连接已断开'); + if (shouldReconnect) { + // 随机的3~5秒后自动重连 + const random = (Math.random() * (5 - 3) + 3) * 1000; + reconnectTimerRef = setTimeout(() => { + connectWebSocket(); + }, random); + } + }; + }; + + useEffect(() => { + connectWebSocket() + return () => { + setShouldReconnect(false); // 取消重连标志 + socketRef.current && socketRef.current.close(); + if (reconnectTimerRef) { + clearTimeout(reconnectTimerRef); // 取消延迟计时器 + } + }; + }, []); + + // websocket 心跳 + useEffect(() => { + const timer = setInterval(() => { + if (socketRef.current && socketRef.current.readyState === WebSocket.OPEN) { + console.log('ping') + socketRef.current.send('ping'); + } + }, 10000); + return () => clearInterval(timer); + }, []); + + const sendMessage = (message: string) => { + if (socketRef.current?.readyState === WebSocket.OPEN) { + socketRef.current.send(message); + } + }; + + const subscribe = (messageHandler: (message: string) => void) => { + if (socketRef.current) { + socketRef.current.onmessage = (event) => { + // console.log(event); + if (event.data == 'pong') { + console.log('pong') + } else { + messageHandler(event.data); + } + }; + } + }; + + return ( + + {children} + + ); +}; \ No newline at end of file diff --git a/webui/web/src/components/api.tsx b/webui/web/src/components/api.tsx new file mode 100644 index 0000000000000000000000000000000000000000..181c5222722b3b9cfbc431ce6702603caa00d552 --- /dev/null +++ b/webui/web/src/components/api.tsx @@ -0,0 +1,145 @@ +// ```typescript +import axios, { AxiosResponse } from "axios"; +import {Bot} from './interface' + +const HOST = window.location.hostname + ':7777' + +export const HTTP_HOST = 'http://' + HOST; +export const WS_HOST = 'ws://' + HOST; + + +const header = { + headers: { + "Content-Type": "application/json", + "Access-Control-Allow-Origin": "*", + "Access-Control-Allow-Methods": "GET, POST, PUT, DELETE, OPTIONS", + }, +}; + +export async function apiSendCode(phone: string, randstr: string, ticket: string): Promise { + const url = `${HTTP_HOST}/user/send_code`; + const data = { + 'phone': phone, + 'randstr': randstr, + 'ticket': ticket + }; + const response = await axios.post(url, data, header); + return response; +} + +export async function apiBotList(): Promise { + const url = `${HTTP_HOST}/bot/list`; + const response = await axios.get(url); + return response; +} + +export async function apiChatList(bot_id:string): Promise { + const url = `${HTTP_HOST}/chats/${bot_id}`; + const response = await axios.get(url); + return response; +} + +// 清空bot的聊天记录 +export async function apiChatClear(bot_id:string): Promise { + const url = `${HTTP_HOST}/clear_bot_chats/${bot_id}`; + const response = await axios.post(url); + return response; +} + +// 删除Chat +export async function apiDeleteChat(bot_id:string, chat_id: string): Promise { + const url = `${HTTP_HOST}/delete_chat/${bot_id}/${chat_id}`; + const response = await axios.post(url); + return response; +} + +export async function apiChatListNew(bot_id:string): Promise { + const url = `${HTTP_HOST}/chats/new/${bot_id}`; + const response = await axios.get(url); + return response; +} + +export async function apiMessages(bot_id: string, chat_id: string): Promise { + const url = `${HTTP_HOST}/messages/`; + const data = { + bot_id: bot_id, + chat_id: chat_id + }; + const response = await axios.post(url, data); + return response; +} + +// export async function apiUploadFile(bot_id: string, chat_id: string, file: File): Promise { +// const url = `${HTTP_HOST}/file/upload`; +// const formData = new FormData(); +// formData.append("bot_id", bot_id); +// formData.append("chat_id", chat_id); +// formData.append("file", file); +// const response = await axios.post(url, formData); +// if (response.status !== 200 || response.data.code !== 0) { +// throw new Error("Upload file failed."); +// } +// return response.data.file; +// } + +export async function apiUploadFile(bot_id: string, chat_id: string, file: File): Promise { + const url = `${HTTP_HOST}/file/upload`; + const formData = new FormData(); + formData.append("bot_id", bot_id); + formData.append("chat_id", chat_id); + formData.append("file", file); + const response = await axios.post(url, formData, { + headers: { + "Content-Type": "multipart/form-data" + } + }); + if (response.status !== 200 || response.data.code !== 0) { + throw new Error("Upload file failed."); + } + return response.data.file; +} + +export async function apiDownloadURL(file_path: string): Promise { + const url = `${HTTP_HOST}/file/download`; + const data = { + file_path: file_path + } + const response = await axios.post(url, data); + if (response.status !== 200 || response.data.code !== 0) { + throw new Error("Download file failed."); + } + return response.data.url; +} + +export const get_chat_file_url = (bot_id: string, chat_id:string, file_name:string) =>{ + const url = `${HTTP_HOST}/file/download/${bot_id}/${chat_id}/${file_name}`; + return url +} + +export const default_application_avator = process.env.PUBLIC_URL + "/products/default_bot.png" +export const defualt_user_avator = process.env.PUBLIC_URL + "/products/default_user.png" + +export const get_application_icon_src = (bot: Bot|null) => { + if (bot && bot.id == 'app_store') { + return process.env.PUBLIC_URL + "/products/app_store.jpeg" + } + if (bot && bot.id == 'personal_setting') { + return process.env.PUBLIC_URL + "/products/personal_setting.jpeg" + } + + if (bot && bot.icon_url) { + let icon_url = `${HTTP_HOST}/system/file/${bot.icon_url}` + return icon_url + } else { + return default_application_avator + } +} + +export const get_system_file = (file_path:string) => { + return `${HTTP_HOST}/system/file/${file_path}` +} + +export const get_public_image_src = (image_url: string) => { + let image_src = `${HTTP_HOST}/public/images/${image_url}` + return image_src +} \ No newline at end of file diff --git a/webui/web/src/components/app_store.tsx b/webui/web/src/components/app_store.tsx new file mode 100644 index 0000000000000000000000000000000000000000..94bd464b0c4ee9d744c852c32d81356b50006cc5 --- /dev/null +++ b/webui/web/src/components/app_store.tsx @@ -0,0 +1,193 @@ +import React, { useState, useEffect } from 'react'; +import {useSelector, useDispatch } from 'react-redux' +import { Input, Tooltip, Space, Button, Spin} from 'antd'; +import { Row, Col, Avatar } from 'antd'; +import {Bot, theme_blue, cut_string} from '../components/interface' +import {apiBotList, get_application_icon_src} from '../components/api' +import {update_app_store_bot_list} from '../db/redux' +import ImageComponentPublic from './image_component_public' + +const { Search } = Input; + +// const AppStore = () => { +export default function AppStore ({ onHandleSelectBot }: { onHandleSelectBot: (bot: Bot) => void }) { + const dispatch = useDispatch(); + let tags_dict: {[key: string]: string} = { + 'all': '全部', + 'chat': 'Chat', + 'hr': 'HR', + 'image': '图像', + 'video': '视频', + 'audio': '音频', + 'person': '人物', + 'doc': '文档', + 'develop': '开发', + 'language': '语言', + 'professional': '专业', + 'philosophy': '哲学', + 'write': '写作', + 'music': '音乐', + 'contribute': '建议', + 'seo': 'SEO', + 'pedagogy': '教育', + 'games': '游戏', + 'social': '社交', + 'interesting': '爱好', + 'life': '生活', + 'finance': '金融', + 'ai': 'AI', + 'doctor': '医生', + 'company': '公司', + 'living': '生活', + 'speech': '演讲', + 'academic': '学术', + 'comments': '评论', + 'mind': '思想', + 'tool': '工具', + 'article': '文章', + } + // 获取tags的所有key + const tags_keys = Object.keys(tags_dict).map((key) => key); + const local_bot_list = useSelector((state) => (state as any).data.app_store_bot_list); + const [bot_list, setBotList] = useState(local_bot_list); + // const [bot_list, setBotList] = useState([]); + + const [selectedTag, setSelectedTag] = useState('all'); + var init_loading = true + if (local_bot_list && local_bot_list.length > 0) { + init_loading = false + } + const [loading, setLoading] = useState(init_loading); + + const [bot_list_tags, setBotListTags] = useState([...bot_list]); + const [bot_list_tags_filtered, setBotListTagsFiltered] = useState([...bot_list_tags]); + + // 获取bot列表 + const getBotList = async () => { + // console.log('getBotList'); + apiBotList().then(function(res){ + // 过滤掉hello + const new_bot_list = res.data.filter((bot: Bot) => { + return bot && bot.id != 'hello'; + }); + dispatch(update_app_store_bot_list(new_bot_list)); + setBotList(new_bot_list) + setBotListTags(new_bot_list); + setBotListTagsFiltered(new_bot_list); + setLoading(false); + }); + } + + useEffect(() => { + getBotList(); + }, []); // 添加空数组作为依赖 + + const onSearch = (e: any) => { + let value = e.target.value; + // setInputValue(e.target.value) + // const onSearch = (value: string) => { + console.log(value); + // 过滤选中tag的bot list，并成为新的list，用于显示 + setBotListTagsFiltered(bot_list_tags.filter((bot: Bot) => { + return bot.nickname.includes(value) || bot.description.includes(value) + })); + }; + + const handleTagClick = (tag: string) => { + setSelectedTag(tag); + let new_bot_list = []; + if (tag == 'all') { + new_bot_list = [...bot_list] + } else { + new_bot_list = bot_list.filter((bot: Bot) => { + // console.log(bot) + // console.log(bot.tags) + return bot.tags.includes(tag); + }) + } + setBotListTags(new_bot_list); + setBotListTagsFiltered(new_bot_list); + // console.log(`Selected tag: ${tag}`); + }; + + return ( + +
+ {/* + + {tags_keys.map((tag, index) => { + const isSelected = tag === selectedTag; + return ( +
handleTagClick(tag)} + > + {tags_dict[tag]} +
+ ); + })} + + + */} + + {bot_list_tags_filtered.map((bot: Bot, index:any) => { + return ( + +
{ + e.currentTarget.style.background = theme_blue; + e.currentTarget.style.color = 'white'; + }} + onMouseLeave={(e) => { + e.currentTarget.style.background = '#F0F0F0'; + e.currentTarget.style.color = 'black'; + }} + onClick={() => onHandleSelectBot(bot)} + > +
+ +
{bot.nickname}
+
+
+ 30 ? bot.description : ''}> + {cut_string(bot.description, 30)} + +
+
+ + ); + })} + +
+ + ); +}; \ No newline at end of file diff --git a/webui/web/src/components/audio_player.tsx b/webui/web/src/components/audio_player.tsx new file mode 100644 index 0000000000000000000000000000000000000000..0fa4875a262ed0e2ad1165366a4afa031aa3716b --- /dev/null +++ b/webui/web/src/components/audio_player.tsx @@ -0,0 +1,57 @@ +import React, { useEffect, useRef, useState} from 'react'; +import { apiDownloadURL } from './api'; +import { Button} from 'antd'; +import { + PlayCircleOutlined, + PauseCircleOutlined + } from '@ant-design/icons'; + +interface Props { + file: string; +} +const AudioPlayer: React.FC = (props) => { + const audioRef = useRef(null); + const [audioSrc, setAudioSrc] = useState(''); + const [readyPlay, setReadyPlay] = useState(false); // 输入框的内容 + + const handleAudioDataLoad = async () => { + if (audioSrc == '') { + // const real_url = await apiDownloadURL(props.file); + const real_url = props.file + setAudioSrc(real_url) + } + } + + const handlePlay = () => { + if (audioRef.current) { + if (!readyPlay) { + audioRef.current.load(); + audioRef.current.play(); + setReadyPlay(true); + } else { + audioRef.current.pause(); + audioRef.current.currentTime = 0; + setReadyPlay(false); + } + // setReadyPlay(true); + // audioRef.current.play(); + } + } + + useEffect(() => { + handleAudioDataLoad(); + }, []); + + return ( + <> + {/*