mirror of
https://github.com/hwchase17/langchain
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40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
from pathlib import Path
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import pytest
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from langchain_community.document_loaders import (
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TelegramChatApiLoader,
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TelegramChatFileLoader,
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)
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def test_telegram_chat_file_loader() -> None:
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"""Test TelegramChatFileLoader."""
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file_path = Path(__file__).parent / "test_docs" / "telegram.json"
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loader = TelegramChatFileLoader(str(file_path))
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docs = loader.load()
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assert len(docs) == 1
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assert docs[0].metadata["source"] == str(file_path)
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assert docs[0].page_content == (
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"Henry on 2020-01-01T00:00:02: It's 2020...\n\n"
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"Henry on 2020-01-01T00:00:04: Fireworks!\n\n"
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"Grace 🧤 ðŸ\x8d’ on 2020-01-01T00:00:05: You're a minute late!\n\n"
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)
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@pytest.mark.requires("telethon", "pandas")
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def test_telegram_channel_loader_parsing() -> None:
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"""Test TelegramChatApiLoader."""
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file_path = Path(__file__).parent / "test_docs" / "telegram_channel.json"
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# if we don't provide any value, it will skip fetching from telegram
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# and will check the parsing logic.
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loader = TelegramChatApiLoader(file_path=str(file_path))
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docs = loader.load()
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assert len(docs) == 1
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print(docs[0].page_content) # noqa: T201
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assert docs[0].page_content == (
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"Hello, world!.\nLLMs are awesome! Langchain is great. Telegram is the best!."
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)
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