metadata pipeline via Step Functions
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32
functions/list_pdfs/handler.py
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32
functions/list_pdfs/handler.py
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"""List every .pdf key under the configured bucket+prefix.
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Output:
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{"keys": ["2026/04/a.pdf", ...], "count": N, "pages": N}
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Used as the first state in the metadata-index pipeline. The "keys" array
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feeds an SFN Map state that runs ExtractMetadata in parallel per key.
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"""
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import os
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import boto3
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_s3 = boto3.client("s3", endpoint_url=os.environ.get("S3_ENDPOINT_URL") or None)
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def handler(event, context):
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bucket = event.get("bucket") or os.environ["BUCKET_NAME"]
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prefix = event.get("prefix") or os.environ["PREFIX"]
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keys = []
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pages = 0
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paginator = _s3.get_paginator("list_objects_v2")
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for page in paginator.paginate(
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Bucket=bucket, Prefix=prefix, PaginationConfig={"PageSize": 1000}
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):
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pages += 1
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for obj in page.get("Contents", []) or []:
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key = obj["Key"]
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if key.lower().endswith(".pdf"):
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keys.append(key)
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return {"keys": keys, "count": len(keys), "pages": pages}
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