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Harrison/official pre release (#8106)
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from langchain_experimental.prompts.load import load_prompt
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__all__ = ["load_prompt"]
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51
libs/experimental/langchain_experimental/prompts/load.py
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51
libs/experimental/langchain_experimental/prompts/load.py
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# Susceptible to arbitrary code execution: https://github.com/hwchase17/langchain/issues/4849
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import importlib
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import json
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from pathlib import Path
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from typing import Union
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import yaml
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from langchain.prompts.loading import load_prompt_from_config, try_load_from_hub
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from langchain.schema.prompts import BasePromptTemplate
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def load_prompt(path: Union[str, Path]) -> BasePromptTemplate:
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"""Unified method for loading a prompt from LangChainHub or local fs."""
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if hub_result := try_load_from_hub(
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path, _load_prompt_from_file, "prompts", {"py", "json", "yaml"}
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):
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return hub_result
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else:
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return _load_prompt_from_file(path)
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def _load_prompt_from_file(file: Union[str, Path]) -> BasePromptTemplate:
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"""Load prompt from file."""
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# Convert file to a Path object.
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if isinstance(file, str):
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file_path = Path(file)
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else:
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file_path = file
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# Load from either json or yaml.
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if file_path.suffix == ".json":
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with open(file_path) as f:
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config = json.load(f)
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elif file_path.suffix == ".yaml":
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with open(file_path, "r") as f:
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config = yaml.safe_load(f)
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elif file_path.suffix == ".py":
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spec = importlib.util.spec_from_loader(
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"prompt", loader=None, origin=str(file_path)
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)
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if spec is None:
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raise ValueError("could not load spec")
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helper = importlib.util.module_from_spec(spec)
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with open(file_path, "rb") as f:
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exec(f.read(), helper.__dict__)
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if not isinstance(helper.PROMPT, BasePromptTemplate):
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raise ValueError("Did not get object of type BasePromptTemplate.")
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return helper.PROMPT
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else:
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raise ValueError(f"Got unsupported file type {file_path.suffix}")
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# Load the prompt from the config now.
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return load_prompt_from_config(config)
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