Update ControllerAtomicFlow.py
Browse files- ControllerAtomicFlow.py +16 -10
ControllerAtomicFlow.py
CHANGED
@@ -22,14 +22,22 @@ class ControllerAtomicFlow(OpenAIChatAtomicFlow):
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commands: List[Command],
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plan_file_location: str,
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code_file_location: str,
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**kwargs):
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super().__init__(**kwargs)
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if os.path.isdir(plan_file_location):
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plan_file_location = os.path.join(plan_file_location, "plan.txt")
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self.plan_file_location = plan_file_location
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self.code_file_location = code_file_location
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self.system_message_prompt_template = self.system_message_prompt_template.partial(
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commands=self._build_commands_manual(commands)
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)
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self.hint_for_model = """
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Make sure your response is in the following format:
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@@ -45,7 +53,6 @@ class ControllerAtomicFlow(OpenAIChatAtomicFlow):
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}
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}
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"""
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self.original_system_template = self.system_message_prompt_template.template
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@staticmethod
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def _build_commands_manual(commands: List[Command]) -> str:
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@@ -77,8 +84,12 @@ class ControllerAtomicFlow(OpenAIChatAtomicFlow):
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# ~~~ Set up file location for plan and code ~~~
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plan_file_location = flow_config["plan_file_location"]
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code_file_location = flow_config["code_file_location"]
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kwargs.update({"plan_file_location": plan_file_location})
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kwargs.update({"code_file_location": code_file_location})
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# ~~~ Instantiate flow ~~~
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return cls(**kwargs)
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@@ -109,14 +120,9 @@ class ControllerAtomicFlow(OpenAIChatAtomicFlow):
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input_data['goal'] += self.hint_for_model
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if 'human_feedback' in input_data:
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input_data['human_feedback'] += self.hint_for_model
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plan_to_append = self._get_plan()
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function_signatures_to_append = self._get_library_function_signatures()
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self.system_message_prompt_template.
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self.original_system_template + "\n\n" + f"Here are the available functions at {self.code_file_location}\n" \
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+ function_signatures_to_append + "\n" \
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+ f"Here is the step-by-step plan to achieve the goal:\n" \
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+ plan_to_append + "\n\n" + f"Make sure the plan your write is at {self.plan_file_location}\n" \
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+ f"Make sure the code you call the code writer to write is at {self.code_file_location}"
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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self._update_prompts_and_input(input_data)
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commands: List[Command],
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plan_file_location: str,
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code_file_location: str,
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plan_to_append: str,
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function_signatures_to_append: str,
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**kwargs):
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super().__init__(**kwargs)
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if os.path.isdir(plan_file_location):
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plan_file_location = os.path.join(plan_file_location, "plan.txt")
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self.plan_file_location = plan_file_location
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self.code_file_location = code_file_location
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self.plan_to_append = plan_to_append
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self.function_signatures_to_append = function_signatures_to_append
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self.system_message_prompt_template = self.system_message_prompt_template.partial(
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commands=self._build_commands_manual(commands),
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plan_file_location=self.plan_file_location,
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code_file_location=self.code_file_location,
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plan_to_append=self.plan_to_append,
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function_signatures_to_append=self.function_signatures_to_append
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)
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self.hint_for_model = """
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Make sure your response is in the following format:
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}
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}
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"""
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@staticmethod
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def _build_commands_manual(commands: List[Command]) -> str:
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# ~~~ Set up file location for plan and code ~~~
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plan_file_location = flow_config["plan_file_location"]
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code_file_location = flow_config["code_file_location"]
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plan_to_append = flow_config["plan_to_append"]
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function_signatures_to_append = flow_config["function_signatures_to_append"]
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kwargs.update({"plan_file_location": plan_file_location})
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kwargs.update({"code_file_location": code_file_location})
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kwargs.update({"plan_to_append": plan_to_append})
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kwargs.update({"function_signatures_to_append": function_signatures_to_append})
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# ~~~ Instantiate flow ~~~
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return cls(**kwargs)
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input_data['goal'] += self.hint_for_model
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if 'human_feedback' in input_data:
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input_data['human_feedback'] += self.hint_for_model
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self.plan_to_append = self._get_plan()
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self.function_signatures_to_append = self._get_library_function_signatures()
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self.system_message_prompt_template = self.system_message_prompt_template.partial(plan_to_append = self.plan_to_append, function_signatures_to_append = self.function_signatures_to_append)
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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self._update_prompts_and_input(input_data)
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