CodeWriterFlow.py

from typing import Dict, Any
import os

from flow_modules.Tachi67.ContentWriterFlowModule import ContentWriterFlow
from flows.base_flows import CircularFlow


class CodeWriterFlow(ContentWriterFlow):
    def _on_reach_max_round(self):
        self._state_update_dict({
            "code": "The maximum amount of rounds was reached before the model generated the code.",
            "status": "unfinished"
        })

    @CircularFlow.output_msg_payload_processor
    def detect_finish_or_continue(self, output_payload: Dict[str, Any], src_flow) -> Dict[str, Any]:
        command = output_payload["command"]
        if command == "finish":
            # ~~~ delete the temp code file ~~~
            keys_to_fetch_from_state = ["temp_code_file_location", "code"]
            fetched_state = self._fetch_state_attributes_by_keys(keys=keys_to_fetch_from_state)
            temp_code_file_location = fetched_state["temp_code_file_location"]
            code_content = fetched_state["code"]
            if os.path.exists(temp_code_file_location):
                os.remove(temp_code_file_location)
            # ~~~ return the code content ~~~
            return {
                "EARLY_EXIT": True,
                "code": code_content,
                "status": "finished"
            }
        elif command == "test":
            # ~~~ fetch code string from flow state ~~~
            keys_to_fetch_from_state = ["code"]
            fetched_state = self._fetch_state_attributes_by_keys(keys=keys_to_fetch_from_state)

            # ~~~ add code content to the command args (branch input data) ~~~
            code_content = fetched_state["code"]
            output_payload["command_args"]["code"] = code_content

            return output_payload
        else:
            return output_payload