Upload run_codewriter.py

run_codewriter.py

@@ -0,0 +1,61 @@
+import os
+
+import hydra
+
+from flows.backends.api_info import ApiInfo
+from flows.messages import InputMessage
+from flows.utils.general_helpers import read_yaml_file
+
+from flows import logging
+from flows.flow_cache import CACHING_PARAMETERS, clear_cache
+
+CACHING_PARAMETERS.do_caching = False  # Set to True in order to disable caching
+# clear_cache() # Uncomment this line to clear the cache
+
+logging.set_verbosity_debug()
+logging.auto_set_dir()
+
+dependencies = [
+    {"url": "Tachi67/ContentWriterFlowModule", "revision": "main"},
+    {"url": "Tachi67/InteractiveCodeGenFlowModule", "revision": "main"},
+    {"url": "Tachi67/CodeWriterFlowModule", "revision": "main"},
+    {"url": "aiflows/ChatFlowModule", "revision": "a749ad10ed39776ba6721c37d0dc22af49ca0f17"},
+]
+
+from flows import flow_verse
+
+flow_verse.sync_dependencies(dependencies)
+
+if __name__ == "__main__":
+    # ~~~ make sure to set the openai api key in the envs ~~~
+    key = os.getenv("OPENAI_API_KEY")
+    api_information = [ApiInfo(backend_used="openai", api_key=os.getenv("OPENAI_API_KEY"))]
+    path_to_output_file = None
+
+    # ~~~ setting api information into config ~~~
+    current_dir = os.getcwd()
+    cfg_path = os.path.join(current_dir, "CodeWriterFlow.yaml")
+    cfg = read_yaml_file(cfg_path)
+    cfg["subflows_config"]["Controller"]["backend"]["api_infos"] = api_information
+    cfg["subflows_config"]["Executor"]["subflows_config"]["write_code"]["subflows_config"]["CodeGenerator"]["backend"]["api_infos"] = api_information
+
+    # ~~~ setting code library into config ~~~
+    code_lib_file_loc = os.path.join(current_dir, "library.py")
+    with open(code_lib_file_loc, 'w') as file:
+        pass
+    cfg["subflows_config"]["Executor"]["subflows_config"]["write_code"]["memory_files"] = {"code_library": code_lib_file_loc}
+    cfg["subflows_config"]["Executor"]["subflows_config"]["test"]["memory_files"] = {"code_library": code_lib_file_loc}
+
+    # ~~~ instantiating the flow and input data ~~~
+    CodeWriterFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
+    input_data = {
+        "goal": "create a function that adds two numbers and returns the result",
+    }
+    input_message = InputMessage.build(
+        data_dict=input_data,
+        src_flow="Launcher",
+        dst_flow=CodeWriterFlow.name
+    )
+
+    # ~~~ calling the flow ~~~
+    output_message = CodeWriterFlow(input_message)