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https://github.com/Sea-Haven-Industries/apm-wo-analysis.git
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20 lines
779 B
Python
20 lines
779 B
Python
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"""S3-triggered classifier Lambda: parse export → two-axis classify → Parquet.
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Triggered on ``s3:ObjectCreated`` under the ``raw/`` prefix regardless of how
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the file arrives (direct upload or local drop-folder). For each non-blank-comment
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row it strips HTML, runs ``classify()``, derives ``is_escalation`` / ``is_action``
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/ ``mismatch``, writes a per-WO snapshot to ``analytics/dt=YYYY-MM-DD/`` as
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Parquet (registering the Glue partition), emits a small ``summary.json`` for the
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slack-post Lambda, then invokes it.
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Runtime when wired up: Python 3.12, ARM64, 512 MB, 120 s, awswrangler layer.
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Implemented in Phase 2 (docs/BUILD.md).
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"""
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from __future__ import annotations
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def handler(event, context):
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"""Lambda entry point. (Phase 2)"""
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raise NotImplementedError
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