kopia lustrzana https://github.com/biobootloader/wolverine
move json_validated_response to standalone function
rodzic
923f7057e3
commit
2497fb816b
91
wolverine.py
91
wolverine.py
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@ -35,47 +35,49 @@ def run_script(script_name, script_args):
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return result.decode("utf-8"), 0
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def send_error_to_gpt(file_path, args, error_message, model=DEFAULT_MODEL):
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def json_validated_response(model, messages):
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"""
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This function is needed because the API can return a non-json response.
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This will run recursively until a valid json response is returned.
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"""
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response = openai.ChatCompletion.create(
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model=model,
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messages=messages,
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temperature=0.5,
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def json_validated_response(model, messages):
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"""
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This function is needed because the API can return a non-json response.
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This will run recursively until a valid json response is returned.
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todo: might want to stop after a certain number of retries
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"""
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response = openai.ChatCompletion.create(
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model=model,
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messages=messages,
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temperature=0.5,
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)
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messages.append(response.choices[0].message)
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content = response.choices[0].message.content
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# see if json can be parsed
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try:
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json_start_index = content.index(
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"["
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) # find the starting position of the JSON data
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json_data = content[
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json_start_index:
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] # extract the JSON data from the response string
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json_response = json.loads(json_data)
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except (json.decoder.JSONDecodeError, ValueError) as e:
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cprint(f"{e}. Re-running the query.", "red")
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# debug
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cprint(f"\n\GPT RESPONSE:\n\n{content}\n\n", "yellow")
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# append a user message that says the json is invalid
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messages.append(
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{
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"role": "user",
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"content": "Your response could not be parsed by json.loads. Please restate your last message as pure JSON.",
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}
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)
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messages.append(response.choices[0].message)
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content = response.choices[0].message.content
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# see if json can be parsed
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try:
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json_start_index = content.index(
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"["
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) # find the starting position of the JSON data
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json_data = content[
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json_start_index:
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] # extract the JSON data from the response string
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json_response = json.loads(json_data)
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except (json.decoder.JSONDecodeError, ValueError) as e:
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cprint(f"{e}. Re-running the query.", "red")
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# debug
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cprint(f"\n\GPT RESPONSE:\n\n{content}\n\n", "yellow")
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# append a user message that says the json is invalid
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messages.append(
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{
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"role": "user",
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"content": "Your response could not be parsed by json.loads. Please restate your last message as pure JSON.",
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}
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)
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# rerun the api call
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return json_validated_response(model, messages)
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except Exception as e:
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cprint(f"Unknown error: {e}", "red")
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cprint(f"\n\GPT RESPONSE:\n\n{content}\n\n", "yellow")
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raise e
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return json_response
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# rerun the api call
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return json_validated_response(model, messages)
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except Exception as e:
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cprint(f"Unknown error: {e}", "red")
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cprint(f"\nGPT RESPONSE:\n\n{content}\n\n", "yellow")
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raise e
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return json_response
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def send_error_to_gpt(file_path, args, error_message, model=DEFAULT_MODEL):
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with open(file_path, "r") as f:
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file_lines = f.readlines()
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@ -106,6 +108,16 @@ def send_error_to_gpt(file_path, args, error_message, model=DEFAULT_MODEL):
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"content": prompt,
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},
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]
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messages = [
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{
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"role": "system",
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"content": SYSTEM_PROMPT,
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},
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{
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"role": "user",
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"content": prompt,
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},
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]
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return json_validated_response(model, messages)
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@ -188,6 +200,7 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL):
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file_path=script_name,
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args=script_args,
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error_message=output,
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model=model,
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)
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apply_changes(script_name, json_response)
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