mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
66 lines
1.7 KiB
Python
66 lines
1.7 KiB
Python
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import re
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from pathlib import Path
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from typing import List
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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def concatenate_rows(date: str, sender: str, text: str) -> str:
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"""Combine message information in a readable format ready to be used."""
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return f"{sender} on {date}: {text}\n\n"
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class WhatsAppChatLoader(BaseLoader):
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"""Load `WhatsApp` messages text file."""
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def __init__(self, path: str):
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"""Initialize with path."""
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self.file_path = path
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def load(self) -> List[Document]:
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"""Load documents."""
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p = Path(self.file_path)
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text_content = ""
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with open(p, encoding="utf8") as f:
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lines = f.readlines()
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message_line_regex = r"""
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\[?
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(
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\d{1,4}
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[\/.]
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\d{1,2}
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[\/.]
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\d{1,4}
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,\s
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\d{1,2}
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:\d{2}
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(?:
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:\d{2}
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)?
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(?:[\s_](?:AM|PM))?
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)
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\]?
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[\s-]*
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([~\w\s]+)
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[:]+
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\s
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(.+)
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"""
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ignore_lines = ["This message was deleted", "<Media omitted>"]
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for line in lines:
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result = re.match(
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message_line_regex, line.strip(), flags=re.VERBOSE | re.IGNORECASE
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)
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if result:
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date, sender, text = result.groups()
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if text not in ignore_lines:
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text_content += concatenate_rows(date, sender, text)
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metadata = {"source": str(p)}
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return [Document(page_content=text_content, metadata=metadata)]
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