Source code for langchain_core.output_parsers.json

from __future__ import annotations

import json
import re
from json import JSONDecodeError
from typing import Any, Callable, List, Optional, Type

import jsonpatch  # type: ignore[import]

from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers.format_instructions import JSON_FORMAT_INSTRUCTIONS
from langchain_core.output_parsers.transform import BaseCumulativeTransformOutputParser
from langchain_core.outputs import Generation
from langchain_core.pydantic_v1 import BaseModel


def _replace_new_line(match: re.Match[str]) -> str:
    value = match.group(2)
    value = re.sub(r"\n", r"\\n", value)
    value = re.sub(r"\r", r"\\r", value)
    value = re.sub(r"\t", r"\\t", value)
    value = re.sub(r'(?<!\\)"', r"\"", value)

    return match.group(1) + value + match.group(3)


def _custom_parser(multiline_string: str) -> str:
    """
    The LLM response for `action_input` may be a multiline
    string containing unescaped newlines, tabs or quotes. This function
    replaces those characters with their escaped counterparts.
    (newlines in JSON must be double-escaped: `\\n`)
    """
    if isinstance(multiline_string, (bytes, bytearray)):
        multiline_string = multiline_string.decode()

    multiline_string = re.sub(
        r'("action_input"\:\s*")(.*)(")',
        _replace_new_line,
        multiline_string,
        flags=re.DOTALL,
    )

    return multiline_string


# Adapted from https://github.com/KillianLucas/open-interpreter/blob/main/interpreter/utils/parse_partial_json.py
# MIT License
[docs]def parse_partial_json(s: str, *, strict: bool = False) -> Any: """Parse a JSON string that may be missing closing braces. Args: s: The JSON string to parse. strict: Whether to use strict parsing. Defaults to False. Returns: The parsed JSON object as a Python dictionary. """ # Attempt to parse the string as-is. try: return json.loads(s, strict=strict) except json.JSONDecodeError: pass # Initialize variables. new_s = "" stack = [] is_inside_string = False escaped = False # Process each character in the string one at a time. for char in s: if is_inside_string: if char == '"' and not escaped: is_inside_string = False elif char == "\n" and not escaped: char = "\\n" # Replace the newline character with the escape sequence. elif char == "\\": escaped = not escaped else: escaped = False else: if char == '"': is_inside_string = True escaped = False elif char == "{": stack.append("}") elif char == "[": stack.append("]") elif char == "}" or char == "]": if stack and stack[-1] == char: stack.pop() else: # Mismatched closing character; the input is malformed. return None # Append the processed character to the new string. new_s += char # If we're still inside a string at the end of processing, # we need to close the string. if is_inside_string: new_s += '"' # Try to parse mods of string until we succeed or run out of characters. while new_s: final_s = new_s # Close any remaining open structures in the reverse # order that they were opened. for closing_char in reversed(stack): final_s += closing_char # Attempt to parse the modified string as JSON. try: return json.loads(final_s, strict=strict) except json.JSONDecodeError: # If we still can't parse the string as JSON, # try removing the last character new_s = new_s[:-1] # If we got here, we ran out of characters to remove # and still couldn't parse the string as JSON, so return the parse error # for the original string. return json.loads(s, strict=strict)
[docs]def parse_json_markdown( json_string: str, *, parser: Callable[[str], Any] = parse_partial_json ) -> dict: """ Parse a JSON string from a Markdown string. Args: json_string: The Markdown string. Returns: The parsed JSON object as a Python dictionary. """ # Try to find JSON string within triple backticks match = re.search(r"```(json)?(.*)```", json_string, re.DOTALL) # If no match found, assume the entire string is a JSON string if match is None: json_str = json_string else: # If match found, use the content within the backticks json_str = match.group(2) # Strip whitespace and newlines from the start and end json_str = json_str.strip() # handle newlines and other special characters inside the returned value json_str = _custom_parser(json_str) # Parse the JSON string into a Python dictionary parsed = parser(json_str) return parsed
[docs]def parse_and_check_json_markdown(text: str, expected_keys: List[str]) -> dict: """ Parse a JSON string from a Markdown string and check that it contains the expected keys. Args: text: The Markdown string. expected_keys: The expected keys in the JSON string. Returns: The parsed JSON object as a Python dictionary. """ try: json_obj = parse_json_markdown(text) except json.JSONDecodeError as e: raise OutputParserException(f"Got invalid JSON object. Error: {e}") for key in expected_keys: if key not in json_obj: raise OutputParserException( f"Got invalid return object. Expected key `{key}` " f"to be present, but got {json_obj}" ) return json_obj
[docs]class JsonOutputParser(BaseCumulativeTransformOutputParser[Any]): """Parse the output of an LLM call to a JSON object. When used in streaming mode, it will yield partial JSON objects containing all the keys that have been returned so far. In streaming, if `diff` is set to `True`, yields JSONPatch operations describing the difference between the previous and the current object. """ pydantic_object: Optional[Type[BaseModel]] = None def _diff(self, prev: Optional[Any], next: Any) -> Any: return jsonpatch.make_patch(prev, next).patch
[docs] def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any: text = result[0].text text = text.strip() if partial: try: return parse_json_markdown(text) except JSONDecodeError: return None else: try: return parse_json_markdown(text) except JSONDecodeError as e: raise OutputParserException(f"Invalid json output: {text}") from e
[docs] def parse(self, text: str) -> Any: return self.parse_result([Generation(text=text)])
[docs] def get_format_instructions(self) -> str: if self.pydantic_object is None: return "Return a JSON object." else: schema = self.pydantic_object.schema() # Remove extraneous fields. reduced_schema = schema if "title" in reduced_schema: del reduced_schema["title"] if "type" in reduced_schema: del reduced_schema["type"] # Ensure json in context is well-formed with double quotes. schema_str = json.dumps(reduced_schema) return JSON_FORMAT_INSTRUCTIONS.format(schema=schema_str)
@property def _type(self) -> str: return "simple_json_output_parser"
# For backwards compatibility SimpleJsonOutputParser = JsonOutputParser