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1.78 kB
| from copy import deepcopy | |
| from typing import Any, Dict | |
| from aiflows.base_flows import SequentialFlow | |
| from aiflows.utils import logging | |
| logging.set_verbosity_debug() | |
| log = logging.get_logger(__name__) | |
| class InteractivePlanGenFlow(SequentialFlow): | |
| """This flow writes code in an interactive manner. It is a sequential flow composed of: | |
| 1. PlanGenerator: generates plan based on the goal. | |
| 2. PlanFileEditor: writes the generated plan to a temp file for the user to see, edit and provide feedback. | |
| 3. ParseFeedback: opens up the temp file with vscode and parses the feedback from the user. | |
| *Input Interface*: | |
| - `goal` | |
| - `plan_file_location` | |
| *Output Interface*: | |
| - `plan` | |
| - `feedback` | |
| - `temp_plan_file_location` | |
| """ | |
| REQUIRED_KEYS_CONFIG = ["max_rounds", "early_exit_key", "topology"] | |
| def __init__( | |
| self, | |
| **kwargs | |
| ): | |
| super().__init__(**kwargs) | |
| def instantiate_from_config(cls, config): | |
| flow_config = deepcopy(config) | |
| kwargs = {"flow_config": flow_config} | |
| # ~~~ Set up subflows ~~~ | |
| kwargs.update({"subflows": cls._set_up_subflows(flow_config)}) | |
| # ~~~ Instantiate flow ~~~ | |
| return cls(**kwargs) | |
| def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]: | |
| # ~~~ sets the input_data in the flow_state dict ~~~ | |
| self._state_update_dict(update_data=input_data) | |
| max_rounds = self.flow_config.get("max_rounds", 1) | |
| if max_rounds is None: | |
| log.info(f"Running {self.flow_config['name']} without `max_rounds` until the early exit condition is met.") | |
| self._sequential_run(max_rounds=max_rounds) | |
| output = self._get_output_from_state() | |
| return output | |