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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,
"result": output_payload["command_args"]["summary"],
"summary": "ExtendLibrary/CodeWriter: " + output_payload["command_args"]["summary"],
"status": "finished"
}
elif command == "manual_finish":
# ~~~ delete the temp code file ~~~
keys_to_fetch_from_state = ["temp_code_file_location"]
fetched_state = self._fetch_state_attributes_by_keys(keys=keys_to_fetch_from_state)
temp_code_file_location = fetched_state["temp_code_file_location"]
if os.path.exists(temp_code_file_location):
os.remove(temp_code_file_location)
# ~~~ return the manual quit status ~~~
return {
"EARLY_EXIT": True,
"code": "no code was generated",
"result": "CodeWriter was terminated explicitly by the user, process is unfinished",
"summary": "ExtendLibrary/CodeWriter: CodeWriter was terminated explicitly by the user, process is unfinished",
"status": "unfinished"
}
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
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()
self.reset(full_reset=True, recursive=True, src_flow=self)
return output |