add more comments and docs & error fix w/ logger
Browse files- CodeWriterCtrlFlow.py +25 -1
- CodeWriterFlow.py +27 -0
- README.md +90 -11
CodeWriterCtrlFlow.py
CHANGED
@@ -14,7 +14,31 @@ class Command:
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input_args: List[str]
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class CodeWriterCtrlFlow(ChatAtomicFlow):
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-
"""refer to https://huggingface.co/Tachi67/JarvisFlowModule/blob/main/Controller_JarvisFlow.py
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def __init__(
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self,
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commands: List[Command],
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input_args: List[str]
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class CodeWriterCtrlFlow(ChatAtomicFlow):
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"""refer to https://huggingface.co/Tachi67/JarvisFlowModule/blob/main/Controller_JarvisFlow.py
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This class controls the execution of the CodeWriterFlow.
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*Input Interface Non Initialized*:
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- `goal`
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*Input Interface Initialized*:
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- `goal`
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- `code`
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- `feedback`
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*Output Interface*:
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- `command`
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- `command_args`
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*Config Parameters*:
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- `backend`: the backend used to call the LLM.
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- `commands`: a list of commands that the controller can use.
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- `system_message_prompt_template`: the template of the system message prompt.
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- `init_human_message_prompt_template`: the template of the init human (user) message prompt.
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- `human_message_prompt_template`: the template of the human (user) message prompt.
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- `previous_messages`: the sliding window of previous messages.
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"""
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def __init__(
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self,
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commands: List[Command],
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CodeWriterFlow.py
CHANGED
@@ -4,6 +4,9 @@ import os
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from flow_modules.aiflows.ContentWriterFlowModule import ContentWriterFlow
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from aiflows.base_flows import CircularFlow
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class CodeWriterFlow(ContentWriterFlow):
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"""This flow inherits from ContentWriterFlow, it is used to write code in an interactive way.
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@@ -17,8 +20,22 @@ class CodeWriterFlow(ContentWriterFlow):
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- `result`
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- `summary`
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- `status`
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"""
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def _on_reach_max_round(self):
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self._state_update_dict({
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"code": "The maximum amount of rounds was reached before the model generated the code.",
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"status": "unfinished"
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@@ -26,6 +43,12 @@ class CodeWriterFlow(ContentWriterFlow):
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@CircularFlow.output_msg_payload_processor
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def detect_finish_or_continue(self, output_payload: Dict[str, Any], src_flow) -> Dict[str, Any]:
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command = output_payload["command"]
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if command == "finish":
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# ~~~ delete the temp code file ~~~
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@@ -72,6 +95,10 @@ class CodeWriterFlow(ContentWriterFlow):
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return output_payload
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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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from flow_modules.aiflows.ContentWriterFlowModule import ContentWriterFlow
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from aiflows.base_flows import CircularFlow
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from aiflows.utils import logging
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log = logging.get_logger(f"aiflows.{__name__}")
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class CodeWriterFlow(ContentWriterFlow):
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"""This flow inherits from ContentWriterFlow, it is used to write code in an interactive way.
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- `result`
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- `summary`
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- `status`
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*Configuration Parameters*:
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- `name`: Name of the flow
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- `description`: Description of the flow
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- `_target_`: The instantiation target of the flow
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- `input_interface`: The input to the flow. Inherited from ContentWriterFlow, in this case, it is `goal`.
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- `output_interface`: The output of the flow.
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- `subflows_config`: Configurations of subflows
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- `early_exit_keys`: The keys that will trigger an early exit of the flow
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- `topology`: Configures the topology of the subflows, please have a special look at the I/O interfaces of the subflows.
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"""
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def _on_reach_max_round(self):
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"""This function is called when the maximum amount of rounds was reached before the model generated the code.
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"""
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self._state_update_dict({
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"code": "The maximum amount of rounds was reached before the model generated the code.",
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"status": "unfinished"
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@CircularFlow.output_msg_payload_processor
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def detect_finish_or_continue(self, output_payload: Dict[str, Any], src_flow) -> Dict[str, Any]:
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"""This function is used to detect whether the code generation process is finished or not.
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It is configured in the topology of the subflows, see CodeWriterFlow.yaml for more details.
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:param output_payload: The output payload of the subflow
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:param src_flow: The subflow that generated the output payload
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:return: The output payload of the subflow
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"""
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command = output_payload["command"]
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if command == "finish":
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# ~~~ delete the temp code file ~~~
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return output_payload
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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"""The run function of the flow.
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:param input_data: The input data of the flow
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:return: The output data of the flow
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"""
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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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README.md
CHANGED
@@ -1,4 +1,20 @@
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```
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goal
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@@ -46,17 +62,7 @@ About the branches:
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How it works:
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Controller calls write_code until user is satisfied in the feedback, then controller calls test to test the code, if test passes, finish.
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# Table of Contents
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* [run\_codewriter](#run_codewriter)
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* [CodeWriterCtrlFlow](#CodeWriterCtrlFlow)
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* [CodeWriterCtrlFlow](#CodeWriterCtrlFlow.CodeWriterCtrlFlow)
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* [CodeWriterAskUserFlow](#CodeWriterAskUserFlow)
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* [CodeWriterAskUserFlow](#CodeWriterAskUserFlow.CodeWriterAskUserFlow)
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* [run](#CodeWriterAskUserFlow.CodeWriterAskUserFlow.run)
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* [CodeWriterFlow](#CodeWriterFlow)
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* [CodeWriterFlow](#CodeWriterFlow.CodeWriterFlow)
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* [\_\_init\_\_](#__init__)
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<a id="run_codewriter"></a>
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@@ -76,6 +82,28 @@ class CodeWriterCtrlFlow(ChatAtomicFlow)
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refer to https://huggingface.co/Tachi67/JarvisFlowModule/blob/main/Controller_JarvisFlow.py
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<a id="CodeWriterAskUserFlow"></a>
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# CodeWriterAskUserFlow
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@@ -139,6 +167,57 @@ In the subflow of the executor, we specify an InteractiveCodeGenFlow (https://hu
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- `summary`
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- `status`
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<a id="__init__"></a>
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# \_\_init\_\_
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# Table of Contents
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* [Structure of CodeWriterFlow](#structure-of-codewriterflow)
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* [run\_codewriter](#run_codewriter)
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* [CodeWriterCtrlFlow](#CodeWriterCtrlFlow)
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* [CodeWriterCtrlFlow](#CodeWriterCtrlFlow.CodeWriterCtrlFlow)
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* [CodeWriterAskUserFlow](#CodeWriterAskUserFlow)
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* [CodeWriterAskUserFlow](#CodeWriterAskUserFlow.CodeWriterAskUserFlow)
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* [run](#CodeWriterAskUserFlow.CodeWriterAskUserFlow.run)
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* [CodeWriterFlow](#CodeWriterFlow)
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* [CodeWriterFlow](#CodeWriterFlow.CodeWriterFlow)
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* [detect\_finish\_or\_continue](#CodeWriterFlow.CodeWriterFlow.detect_finish_or_continue)
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* [run](#CodeWriterFlow.CodeWriterFlow.run)
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* [\_\_init\_\_](#__init__)
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# Structure of CodeWriterFlow
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```
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goal
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How it works:
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Controller calls write_code until user is satisfied in the feedback, then controller calls test to test the code, if test passes, finish.
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<a id="run_codewriter"></a>
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refer to https://huggingface.co/Tachi67/JarvisFlowModule/blob/main/Controller_JarvisFlow.py
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This class controls the execution of the CodeWriterFlow.
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*Input Interface Non Initialized*:
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- `goal`
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*Input Interface Initialized*:
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- `goal`
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- `code`
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- `feedback`
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*Output Interface*:
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- `command`
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- `command_args`
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*Config Parameters*:
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- `backend`: the backend used to call the LLM.
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+
- `commands`: a list of commands that the controller can use.
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102 |
+
- `system_message_prompt_template`: the template of the system message prompt.
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103 |
+
- `init_human_message_prompt_template`: the template of the init human (user) message prompt.
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- `human_message_prompt_template`: the template of the human (user) message prompt.
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- `previous_messages`: the sliding window of previous messages.
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<a id="CodeWriterAskUserFlow"></a>
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# CodeWriterAskUserFlow
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- `summary`
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- `status`
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*Configuration Parameters*:
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- `name`: Name of the flow
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- `description`: Description of the flow
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- `_target_`: The instantiation target of the flow
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- `input_interface`: The input to the flow. Inherited from ContentWriterFlow, in this case, it is `goal`.
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- `output_interface`: The output of the flow.
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- `subflows_config`: Configurations of subflows
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- `early_exit_keys`: The keys that will trigger an early exit of the flow
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- `topology`: Configures the topology of the subflows, please have a special look at the I/O interfaces of the subflows.
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<a id="CodeWriterFlow.CodeWriterFlow.detect_finish_or_continue"></a>
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#### detect\_finish\_or\_continue
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```python
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@CircularFlow.output_msg_payload_processor
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def detect_finish_or_continue(output_payload: Dict[str, Any],
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src_flow) -> Dict[str, Any]
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```
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This function is used to detect whether the code generation process is finished or not.
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It is configured in the topology of the subflows, see CodeWriterFlow.yaml for more details.
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**Arguments**:
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- `output_payload`: The output payload of the subflow
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- `src_flow`: The subflow that generated the output payload
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**Returns**:
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The output payload of the subflow
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<a id="CodeWriterFlow.CodeWriterFlow.run"></a>
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#### run
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```python
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def run(input_data: Dict[str, Any]) -> Dict[str, Any]
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```
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The run function of the flow.
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**Arguments**:
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- `input_data`: The input data of the flow
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**Returns**:
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The output data of the flow
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<a id="__init__"></a>
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# \_\_init\_\_
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