mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
5e2d5047af
Add LLMBashChain to experimental
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
# flake8: noqa
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from __future__ import annotations
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import re
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from typing import List
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from langchain.prompts.prompt import PromptTemplate
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from langchain.schema import BaseOutputParser, OutputParserException
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_PROMPT_TEMPLATE = """If someone asks you to perform a task, your job is to come up with a series of bash commands that will perform the task. There is no need to put "#!/bin/bash" in your answer. Make sure to reason step by step, using this format:
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Question: "copy the files in the directory named 'target' into a new directory at the same level as target called 'myNewDirectory'"
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I need to take the following actions:
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- List all files in the directory
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- Create a new directory
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- Copy the files from the first directory into the second directory
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```bash
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ls
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mkdir myNewDirectory
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cp -r target/* myNewDirectory
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```
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That is the format. Begin!
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Question: {question}"""
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class BashOutputParser(BaseOutputParser):
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"""Parser for bash output."""
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def parse(self, text: str) -> List[str]:
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if "```bash" in text:
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return self.get_code_blocks(text)
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else:
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raise OutputParserException(
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f"Failed to parse bash output. Got: {text}",
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)
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@staticmethod
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def get_code_blocks(t: str) -> List[str]:
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"""Get multiple code blocks from the LLM result."""
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code_blocks: List[str] = []
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# Bash markdown code blocks
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pattern = re.compile(r"```bash(.*?)(?:\n\s*)```", re.DOTALL)
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for match in pattern.finditer(t):
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matched = match.group(1).strip()
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if matched:
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code_blocks.extend(
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[line for line in matched.split("\n") if line.strip()]
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)
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return code_blocks
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@property
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def _type(self) -> str:
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return "bash"
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PROMPT = PromptTemplate(
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input_variables=["question"],
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template=_PROMPT_TEMPLATE,
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output_parser=BashOutputParser(),
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)
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