# Table of Contents
* [Structure of CodeWriterFlow](#structure-of-codewriterflow)
* [run\_codewriter](#run_codewriter)
* [CodeWriterCtrlFlow](#CodeWriterCtrlFlow)
* [CodeWriterCtrlFlow](#CodeWriterCtrlFlow.CodeWriterCtrlFlow)
* [CodeWriterAskUserFlow](#CodeWriterAskUserFlow)
* [CodeWriterAskUserFlow](#CodeWriterAskUserFlow.CodeWriterAskUserFlow)
* [run](#CodeWriterAskUserFlow.CodeWriterAskUserFlow.run)
* [CodeWriterFlow](#CodeWriterFlow)
* [CodeWriterFlow](#CodeWriterFlow.CodeWriterFlow)
* [detect\_finish\_or\_continue](#CodeWriterFlow.CodeWriterFlow.detect_finish_or_continue)
* [run](#CodeWriterFlow.CodeWriterFlow.run)
* [\_\_init\_\_](#__init__)
# Structure of CodeWriterFlow
```
goal
|
v
+---------------+
| Controller | --------<<<<-----------+
+---------------+ |
| |
| (command, command args) |
| |
v |
+------------------+ |
| Executor | Each branch is an |
| (Tree Structure) | executor |
+------------------+ |
| ^
| (summary) |
| |
v |
| |
+-> goes back to the Controller>-+
```
Structure of the Executors:
```
+-------------------+
| Branching |
| Executor |
+-------------------+
/ | \
/ | \
/ | \
/ | \
write_code ask_user test
```
About the branches:
- [ask_user](https://huggingface.co/aiflows/CodeWriterFlowModule/blob/main/CodeWriterAskUserFlow.py): Ask user for info / confirmation, etc.
- [write_code](https://huggingface.co/aiflows/InteractiveCodeGenFlowModule): Generates code (user edit is allowed) and fetches user feedback.
- [test](https://huggingface.co/aiflows/TestCodeFlowModule): Test the code, user can provide test suites, if nothing is provided, syntax of the code is checked.
How it works:
Controller calls write_code until user is satisfied in the feedback, then controller calls test to test the code, if test passes, finish.
# run\_codewriter
# CodeWriterCtrlFlow
## CodeWriterCtrlFlow Objects
```python
class CodeWriterCtrlFlow(ChatAtomicFlow)
```
refer to https://huggingface.co/aiflows/JarvisFlowModule/blob/main/Controller_JarvisFlow.py
This class controls the execution of the CodeWriterFlow.
*Input Interface Non Initialized*:
- `goal`
*Input Interface Initialized*:
- `goal`
- `code`
- `feedback`
*Output Interface*:
- `command`
- `command_args`
*Config Parameters*:
- `backend`: the backend used to call the LLM.
- `commands`: a list of commands that the controller can use.
- `system_message_prompt_template`: the template of the system message prompt.
- `init_human_message_prompt_template`: the template of the init human (user) message prompt.
- `human_message_prompt_template`: the template of the human (user) message prompt.
- `previous_messages`: the sliding window of previous messages.
# CodeWriterAskUserFlow
## CodeWriterAskUserFlow Objects
```python
class CodeWriterAskUserFlow(HumanStandardInputFlow)
```
This class is used to ask for user feedback whenever the controller is unsure of something, or need confirmation, etc.
*Expected Input*:
- `question`: The question asked by the controller
*Expected Behaviour*:
- The question is displayed, and the user gives feedback by inputing string.
*Expected Ouput*:
- `feedback`: The input of the user.
- `code`: No code was written.
#### run
```python
def run(input_data: Dict[str, Any]) -> Dict[str, Any]
```
Run the flow.
**Arguments**:
- `input_data`: The input data.
**Returns**:
The output data.
# CodeWriterFlow
## CodeWriterFlow Objects
```python
class CodeWriterFlow(ContentWriterFlow)
```
This flow inherits from ContentWriterFlow, it is used to write code in an interactive way.
In the subflow of the executor, we specify an InteractiveCodeGenFlow (https://huggingface.co/aiflows/InteractiveCodeGenFlowModule)
*Input Interface*:
- `goal`
*Output Interface*:
- `code`
- `result`
- `summary`
- `status`
*Configuration Parameters*:
- `name`: Name of the flow
- `description`: Description of the flow
- `_target_`: The instantiation target of the flow
- `input_interface`: The input to the flow. Inherited from ContentWriterFlow, in this case, it is `goal`.
- `output_interface`: The output of the flow.
- `subflows_config`: Configurations of subflows
- `early_exit_keys`: The keys that will trigger an early exit of the flow
- `topology`: Configures the topology of the subflows, please have a special look at the I/O interfaces of the subflows.
#### detect\_finish\_or\_continue
```python
@CircularFlow.output_msg_payload_processor
def detect_finish_or_continue(output_payload: Dict[str, Any],
src_flow) -> Dict[str, Any]
```
This function is used to detect whether the code generation process is finished or not.
It is configured in the topology of the subflows, see CodeWriterFlow.yaml for more details.
**Arguments**:
- `output_payload`: The output payload of the subflow
- `src_flow`: The subflow that generated the output payload
**Returns**:
The output payload of the subflow
#### run
```python
def run(input_data: Dict[str, Any]) -> Dict[str, Any]
```
The run function of the flow.
**Arguments**:
- `input_data`: The input data of the flow
**Returns**:
The output data of the flow
# \_\_init\_\_