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65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
"""request parser."""
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import json
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import re
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from typing import Dict
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from pydantic import root_validator
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from langchain.chains.api.openapi.prompts import REQUEST_TEMPLATE
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from langchain.chains.llm import LLMChain
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from langchain.llms.base import BaseLLM
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from langchain.prompts.prompt import PromptTemplate
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from langchain.schema import BaseOutputParser
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class APIRequesterOutputParser(BaseOutputParser):
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"""Parse the request and error tags."""
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that json5 package exists."""
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try:
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import json5 # noqa: F401
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except ImportError:
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raise ValueError(
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"Could not import json5 python package. "
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"Please it install it with `pip install json5`."
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)
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return values
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def parse(self, llm_output: str) -> str:
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"""Parse the request and error tags."""
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import json5
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json_match = re.search(r"```json(.*?)```", llm_output, re.DOTALL)
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if json_match:
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typescript_block = json_match.group(1).strip()
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try:
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return json.dumps(json5.loads(typescript_block))
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except json.JSONDecodeError:
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return "ERROR serializing request"
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message_match = re.search(r"```text(.*?)```", llm_output, re.DOTALL)
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if message_match:
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return f"MESSAGE: {message_match.group(1).strip()}"
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return "ERROR making request"
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class APIRequesterChain(LLMChain):
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"""Get the request parser."""
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@classmethod
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def from_llm_and_typescript(
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cls, llm: BaseLLM, typescript_definition: str, verbose: bool = True
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) -> LLMChain:
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"""Get the request parser."""
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output_parser = APIRequesterOutputParser()
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prompt = PromptTemplate(
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template=REQUEST_TEMPLATE,
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output_parser=output_parser,
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partial_variables={"schema": typescript_definition},
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input_variables=["instructions"],
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)
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return cls(prompt=prompt, llm=llm, verbose=verbose)
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