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https://github.com/hwchase17/langchain.git
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82baecc892
This PR adds * `ZeroShotAgent.as_sql_agent`, which returns an agent for interacting with a sql database. This builds off of `SQLDatabaseChain`. The main advantages are 1) answering general questions about the db, 2) access to a tool for double checking queries, and 3) recovering from errors * `ZeroShotAgent.as_json_agent` which returns an agent for interacting with json blobs. * Several examples in notebooks --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
114 lines
3.5 KiB
Python
114 lines
3.5 KiB
Python
# flake8: noqa
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"""Tools for working with JSON specs."""
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from __future__ import annotations
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import json
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import re
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from pathlib import Path
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from typing import Dict, List, Union
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from pydantic import BaseModel
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from langchain.tools.base import BaseTool
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def _parse_input(text: str) -> List[Union[str, int]]:
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"""Parse input of the form data["key1"][0]["key2"] into a list of keys."""
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_res = re.findall(r"\[.*?]", text)
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# strip the brackets and quotes, convert to int if possible
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res = [i[1:-1].replace('"', "") for i in _res]
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res = [int(i) if i.isdigit() else i for i in res]
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return res
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class JsonSpec(BaseModel):
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"""Base class for JSON spec."""
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dict_: Dict
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max_value_length: int = 200
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@classmethod
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def from_file(cls, path: Path) -> JsonSpec:
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"""Create a JsonSpec from a file."""
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if not path.exists():
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raise FileNotFoundError(f"File not found: {path}")
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dict_ = json.loads(path.read_text())
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return cls(dict_=dict_)
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def keys(self, text: str) -> str:
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"""Return the keys of the dict at the given path.
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Args:
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text: Python representation of the path to the dict (e.g. data["key1"][0]["key2"]).
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"""
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try:
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items = _parse_input(text)
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val = self.dict_
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for i in items:
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if i:
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val = val[i]
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if not isinstance(val, dict):
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raise ValueError(
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f"Value at path `{text}` is not a dict, get the value directly."
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)
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return str(list(val.keys()))
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except Exception as e:
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return repr(e)
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def value(self, text: str) -> str:
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"""Return the value of the dict at the given path.
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Args:
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text: Python representation of the path to the dict (e.g. data["key1"][0]["key2"]).
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"""
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try:
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items = _parse_input(text)
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val = self.dict_
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for i in items:
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val = val[i]
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if isinstance(val, dict) and len(str(val)) > self.max_value_length:
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return "Value is a large dictionary, should explore its keys directly"
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str_val = str(val)
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if len(str_val) > self.max_value_length:
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str_val = str_val[: self.max_value_length] + "..."
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return str_val
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except Exception as e:
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return repr(e)
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class JsonListKeysTool(BaseTool):
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"""Tool for listing keys in a JSON spec."""
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name = "json_spec_list_keys"
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description = """
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Can be used to list all keys at a given path.
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Before calling this you should be SURE that the path to this exists.
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The input is a text representation of the path to the dict in Python syntax (e.g. data["key1"][0]["key2"]).
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"""
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spec: JsonSpec
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def _run(self, tool_input: str) -> str:
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return self.spec.keys(tool_input)
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async def _arun(self, tool_input: str) -> str:
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return self._run(tool_input)
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class JsonGetValueTool(BaseTool):
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"""Tool for getting a value in a JSON spec."""
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name = "json_spec_get_value"
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description = """
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Can be used to see value in string format at a given path.
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Before calling this you should be SURE that the path to this exists.
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The input is a text representation of the path to the dict in Python syntax (e.g. data["key1"][0]["key2"]).
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"""
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spec: JsonSpec
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def _run(self, tool_input: str) -> str:
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return self.spec.value(tool_input)
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async def _arun(self, tool_input: str) -> str:
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return self._run(tool_input)
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