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schedule_daily_cron

Data PipelineDataCron

INSTALLATION

$python -c "exec(open('schedule_daily_cron.py').read())"

#or paste directly into your Claude Code terminal

[ ABOUT ]

Configures APScheduler's `BlockingScheduler` to execute the full analysis pipeline — fetching top 100 coins, analyzing each, and caching to Supabase — at midnight UTC daily. The scheduler is started with `sched.start()` which blocks the Python process indefinitely, making it suitable for running in a dedicated background process or Docker container.

For production deployments, prefer a system-level cron job or a managed scheduler (e.g. GitHub Actions scheduled workflow, Railway cron) over APScheduler's in-process scheduling. In-process schedulers are fragile to crashes — if the Python process exits unexpectedly, no restart logic is in place. System crons restart independently of the application.

[ USAGE EXAMPLE ]

example.py

# Run in background process or Docker container:
# python schedule_daily_cron.py
# Executes at 00:00 UTC every day

[ FULL CODE ]

schedule_daily_cron.py

from apscheduler.schedulers.blocking import BlockingScheduler sched = BlockingScheduler() sched.add_job(lambda: cache_analysis(batch_analyze(fetch_top100())), "cron", hour=0) sched.start()

[ METADATA ]

CategoryData Pipeline

ComplexityIntermediate

LanguagePython 3.10+

TagsData, Cron

[ ASK CLAUDE ]

Ask AI about this skill before installing it.

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