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refactor
Browse files- embed_docs.py +62 -0
embed_docs.py
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import logging
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import os
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from buster.docparser import get_all_documents
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from buster.documents_manager import DeepLakeDocumentsManager
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from buster.parser import SphinxParser
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from rtd_scraper.scrape_rtd import sanitize_url, run_spider
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# When using scrapy it seems to set logging for all apps at DEBUG, so simply shut it off here...
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for name in logging.root.manager.loggerDict:
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logger = logging.getLogger(name)
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logger.setLevel(logging.INFO)
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def embed_documents(homepage_url, save_directory, target_version=None):
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# adds https:// and trailing slash
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homepage_url = sanitize_url(homepage_url)
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# Crawl the website using scrapy
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run_spider(
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homepage_url, save_directory=save_directory, target_version=target_version
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)
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# # Convert the .html pages into chunks using Buster's SphinxParser
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# root_dir is the folder containing the scraped content e.g. crawled_outputs/buster.readthedocs.io/
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root_dir = os.path.join(save_directory, homepage_url.split("https://")[1])
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df = get_all_documents(
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root_dir=root_dir,
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base_url=homepage_url,
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parser_cls=SphinxParser,
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min_section_length=100,
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max_section_length=1000,
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)
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df["source"] = "readthedocs" # Add the source column
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# Initialize the DeepLake vector store
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vector_store_path = os.path.join(save_directory, "deeplake_store")
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dm = DeepLakeDocumentsManager(
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vector_store_path=vector_store_path,
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overwrite=True,
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required_columns=["url", "content", "source", "title"],
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)
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# Add all embeddings to the vector store
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dm.batch_add(
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df=df,
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batch_size=3000,
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min_time_interval=60,
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num_workers=32,
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)
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if __name__ == "__main__":
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homepage_url = "https://orion.readthedocs.io/"
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target_version = "v0.2.7"
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save_directory = "outputs/"
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embed_documents(
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homepage_url=homepage_url,
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target_version=target_version,
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save_directory=save_directory,
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)
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