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70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
"""Utilities for the json_fixes package."""
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import ast
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import json
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import os.path
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from typing import Any
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from jsonschema import Draft7Validator
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from autogpt.config import Config
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from autogpt.logs import logger
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CFG = Config()
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LLM_DEFAULT_RESPONSE_FORMAT = "llm_response_format_1"
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def extract_json_from_response(response_content: str) -> dict:
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# Sometimes the response includes the JSON in a code block with ```
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if response_content.startswith("```") and response_content.endswith("```"):
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# Discard the first and last ```, then re-join in case the response naturally included ```
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response_content = "```".join(response_content.split("```")[1:-1])
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# response content comes from OpenAI as a Python `str(content_dict)`, literal_eval reverses this
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try:
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return ast.literal_eval(response_content)
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except BaseException as e:
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logger.error(f"Error parsing JSON response with literal_eval {e}")
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# TODO: How to raise an error here without causing the program to exit?
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return {}
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def llm_response_schema(
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schema_name: str = LLM_DEFAULT_RESPONSE_FORMAT,
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) -> dict[str, Any]:
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filename = os.path.join(os.path.dirname(__file__), f"{schema_name}.json")
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with open(filename, "r") as f:
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return json.load(f)
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def validate_json(
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json_object: object, schema_name: str = LLM_DEFAULT_RESPONSE_FORMAT
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) -> bool:
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"""
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:type schema_name: object
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:param schema_name: str
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:type json_object: object
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Returns:
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bool: Whether the json_object is valid or not
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"""
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schema = llm_response_schema(schema_name)
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validator = Draft7Validator(schema)
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if errors := sorted(validator.iter_errors(json_object), key=lambda e: e.path):
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for error in errors:
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logger.error(f"JSON Validation Error: {error}")
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if CFG.debug_mode:
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logger.error(
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json.dumps(json_object, indent=4)
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) # Replace 'json_object' with the variable containing the JSON data
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logger.error("The following issues were found:")
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for error in errors:
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logger.error(f"Error: {error.message}")
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return False
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logger.debug("The JSON object is valid.")
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return True
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