Upload 3 files
Browse files- InteractiveCodeGenFlow.py +52 -0
- InteractiveCodeGenFlow.yaml +66 -0
- __init__.py +12 -0
InteractiveCodeGenFlow.py
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from copy import deepcopy
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from typing import Any, Dict
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from flows.base_flows import SequentialFlow
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from flows.utils import logging
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logging.set_verbosity_debug()
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log = logging.get_logger(__name__)
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class InteractiveCodeGenFlow(SequentialFlow):
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REQUIRED_KEYS_CONFIG = ["max_rounds", "early_exit_key", "topology", "memory_files"]
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def __init__(
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self,
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memory_files: Dict[str, Any],
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**kwargs
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):
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super().__init__(**kwargs)
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self.memory_files = memory_files
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@classmethod
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def instantiate_from_config(cls, config):
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flow_config = deepcopy(config)
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kwargs = {"flow_config": flow_config}
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# ~~~ Set up memory file ~~~
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memory_files = flow_config["memory_files"]
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kwargs.update({"memory_files": memory_files})
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# ~~~ Set up subflows ~~~
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kwargs.update({"subflows": cls._set_up_subflows(flow_config)})
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# ~~~ Instantiate flow ~~~
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return cls(**kwargs)
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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# ~~~ sets the input_data in the flow_state dict ~~~
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self._state_update_dict(update_data=input_data)
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# ~~~ set the memory file to the flow state ~~~
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self._state_update_dict(update_data={"memory_files": self.memory_files})
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max_rounds = self.flow_config.get("max_rounds", 1)
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if max_rounds is None:
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log.info(f"Running {self.flow_config['name']} without `max_rounds` until the early exit condition is met.")
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self._sequential_run(max_rounds=max_rounds)
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output = self._get_output_from_state()
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return output
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InteractiveCodeGenFlow.yaml
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name: "InteractiveCodeGenFlow"
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description: "Generate code as goal requests, open up a temp file for the user to examine and provide feedback"
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_target_: Tachi67.InteractiveCodeGenFlowModule.InteractiveCodeGenFlow.instantiate_from_default_config
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memory_files: ???
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input_interface:
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- "goal"
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output_interface:
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- "code"
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- "human_feedback"
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subflows_config:
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MemoryReading:
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_target_: Tachi67.MemoryReadingFlowModule.MemoryReadingAtomicFlow.instantiate_from_default_config
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CodeGenerator:
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_target_: Tachi67.CodeGeneratorFlowModule.CodeGeneratorAtomicFlow.instantiate_from_default_config
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backend:
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api_infos: ???
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model_name:
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openai: gpt-4
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azure: azure/gpt-4
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CodeFileEditor:
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_target_: Tachi67.CodeFileEditFlowModule.CodeFileEditAtomicFlow.instantiate_from_default_config
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ParseFeedback:
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_target_: Tachi67.ParseFeedbackFlowModule.ParseFeedbackAtomicFlow.instantiate_from_default_config
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early_exit_key: "EARLY_EXIT"
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topology:
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- goal: "Read in necessary memory"
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input_interface:
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_target_: flows.interfaces.KeyInterface
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additional_transformations:
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- _target_: flows.data_transformations.KeyMatchInput
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flow: MemoryReading
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reset: false
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- goal: "Generate code to achieve the task."
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input_interface:
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_target_: flows.interfaces.KeyInterface
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additional_transformations:
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- _target_: flows.data_transformations.KeyMatchInput
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flow: CodeGenerator
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reset: false
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- goal: "Write the code generated to a temp file with instructions to the user"
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input_interface:
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_target_: flows.interfaces.KeyInterface
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additional_transformations:
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- _target_: flows.data_transformations.KeyMatchInput
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flow: CodeFileEditor
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reset: false
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- goal: "Parse user feedback from the temp file"
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input_interface:
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_target_: flows.interfaces.KeyInterface
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additional_transformations:
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- _target_: flows.data_transformations.KeyMatchInput
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flow: ParseFeedback
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reset: false
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__init__.py
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# ~~~ Specify the dependencies ~~~
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dependencies = [
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{"url": "Tachi67/MemoryReadingFlowModule", "revision": "main"},
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{"url": "Tachi67/CodeGeneratorFlowModule", "revision": "main"},
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{"url": "Tachi67/CodeFileEditFlowModule", "revision": "main"},
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{"url": "Tachi67/ParseFeedbackFlowModule", "revision": "main"},
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]
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from flows import flow_verse
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flow_verse.sync_dependencies(dependencies)
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from .InteractiveCodeGenFlow import InteractiveCodeGenFlow
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