padelnomics

deemanone/padelnomics

Fork 0

Commit Graph

Author	SHA1	Message	Date
Deeman	a1faddbed6	feat: Python supervisor + feature flags Supervisor (replaces supervisor.sh): - supervisor.py — cron-based pipeline orchestration, reads workflows.toml on every tick, runs due extractors in topological waves with parallel execution, then SQLMesh transform + serving export - workflows.toml — workflow registry: overpass (monthly), eurostat (monthly), playtomic_tenants (weekly), playtomic_availability (daily), playtomic_recheck (hourly 6–23) - padelnomics-supervisor.service — updated ExecStart to Python supervisor Extraction enhancements: - proxy.py — optional round-robin/sticky proxy rotation via PROXY_URLS env - playtomic_availability.py — parallel fetch (EXTRACT_WORKERS), recheck mode (main_recheck) re-queries imminent slots for accurate occupancy measurement - _shared.py — realistic browser User-Agent on all extractor sessions - stg_playtomic_availability.sql — reads morning + recheck snapshots, tags each - fct_daily_availability.sql — prefers recheck over morning for same slot Feature flags (replaces WAITLIST_MODE env var): - migration 0019 — feature_flags table, 5 initial flags: markets (on), payments/planner_export/supplier_signup/lead_unlock (off) - core.py — is_flag_enabled() + feature_gate() decorator - routes — payments, markets, planner_export, supplier_signup, lead_unlock gated - admin flags UI — /admin/flags toggle page + nav link - app.py — flag() injected as Jinja2 global Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-23 13:53:45 +01:00
Deeman	79f7fc6fad	feat: Playtomic pricing/occupancy pipeline + email i18n + audience restructure Three workstreams: 1. Playtomic full data extraction & transform pipeline: - Expand venue bounding boxes from 4 to 23 regions (global coverage) - New staging models for court resources, opening hours, and slot-level availability with real prices from the Playtomic API - Foundation fact tables for venue capacity and daily occupancy/revenue - City-level pricing benchmarks replacing hardcoded country estimates - Planner defaults now use 3-tier cascade: city data → country → fallback 2. Transactional email i18n: - _t() helper in worker.py with ~70 translation keys (EN + DE) - All 8 email handlers translated, lang passed in task payloads 3. Resend audiences restructured to 3 named audiences (free plan limit) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-23 00:54:53 +01:00

Author

SHA1

Message

Date

Deeman

a1faddbed6

feat: Python supervisor + feature flags

Supervisor (replaces supervisor.sh):
- supervisor.py — cron-based pipeline orchestration, reads workflows.toml
  on every tick, runs due extractors in topological waves with parallel
  execution, then SQLMesh transform + serving export
- workflows.toml — workflow registry: overpass (monthly), eurostat (monthly),
  playtomic_tenants (weekly), playtomic_availability (daily),
  playtomic_recheck (hourly 6–23)
- padelnomics-supervisor.service — updated ExecStart to Python supervisor

Extraction enhancements:
- proxy.py — optional round-robin/sticky proxy rotation via PROXY_URLS env
- playtomic_availability.py — parallel fetch (EXTRACT_WORKERS), recheck mode
  (main_recheck) re-queries imminent slots for accurate occupancy measurement
- _shared.py — realistic browser User-Agent on all extractor sessions
- stg_playtomic_availability.sql — reads morning + recheck snapshots, tags each
- fct_daily_availability.sql — prefers recheck over morning for same slot

Feature flags (replaces WAITLIST_MODE env var):
- migration 0019 — feature_flags table, 5 initial flags:
  markets (on), payments/planner_export/supplier_signup/lead_unlock (off)
- core.py — is_flag_enabled() + feature_gate() decorator
- routes — payments, markets, planner_export, supplier_signup, lead_unlock gated
- admin flags UI — /admin/flags toggle page + nav link
- app.py — flag() injected as Jinja2 global

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-23 13:53:45 +01:00

Deeman

79f7fc6fad

feat: Playtomic pricing/occupancy pipeline + email i18n + audience restructure

Three workstreams:

1. Playtomic full data extraction & transform pipeline:
   - Expand venue bounding boxes from 4 to 23 regions (global coverage)
   - New staging models for court resources, opening hours, and slot-level
     availability with real prices from the Playtomic API
   - Foundation fact tables for venue capacity and daily occupancy/revenue
   - City-level pricing benchmarks replacing hardcoded country estimates
   - Planner defaults now use 3-tier cascade: city data → country → fallback

2. Transactional email i18n:
   - _t() helper in worker.py with ~70 translation keys (EN + DE)
   - All 8 email handlers translated, lang passed in task payloads

3. Resend audiences restructured to 3 named audiences (free plan limit)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-23 00:54:53 +01:00

2 Commits