6a2945275a
The previous in-memory dict only worked with a single gunicorn worker. With workers=2 in gunicorn_config.py, the async-search worker stored the result in its own process memory while the dashboard request landed on the other worker ~50% of the time — cache miss → fell through to a synchronous Box fetch → exceeded the GCP load balancer's 30s timeout, returning "stream timeout" to the user even though the search itself succeeded. Now stores cache entries as pickled files at storage/cache/<key>.pkl, shared across workers via the existing volume mount. Atomic writes via tempfile + os.replace. TTL still 30 minutes. Public API (cache_set/get/delete/cleanup) is unchanged so call sites in reporting/routes.py continue to work.
68 lines
689 B
Text
68 lines
689 B
Text
# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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venv/
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env/
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ENV/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Flask
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instance/
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.webassets-cache
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# Environment
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.env
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.env.local
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# Box credentials
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config/box_config.json
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# IDEs
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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Thumbs.db
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# Logs
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*.log
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logs/
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# Database
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database/*.db
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database/*.db-journal
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# Uploads and Storage
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uploads/
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storage/reports/
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storage/cache/
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# Reference files (test data, results, cheat sheets)
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reference/
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# Supporting data (censorship training images)
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data/supporting/censorship_trainset/
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# Temporary/working directories
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tmp/
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