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5 Commits
v202603010
...
worktree-t
| Author | SHA1 | Date | |
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a898a06575 | ||
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1aedf78ec6 | ||
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8f2ffd432b | ||
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c9dec066f7 | ||
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fea4f85da3 |
@@ -6,6 +6,13 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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## [Unreleased]
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### Changed
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- **Per-proxy dead tracking in tiered cycler** — `make_tiered_cycler` now accepts a `proxy_failure_limit` parameter (default 3). Individual proxies that hit the limit are marked dead and permanently skipped by `next_proxy()`. If all proxies in the active tier are dead, `next_proxy()` auto-escalates to the next tier without needing the tier-level threshold. `record_failure(proxy_url)` and `record_success(proxy_url)` accept an optional `proxy_url` argument for per-proxy tracking; callers without `proxy_url` are fully backward-compatible. New `dead_proxy_count()` callable exposed for monitoring.
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- `extract/padelnomics_extract/src/padelnomics_extract/proxy.py`: added per-proxy state (`proxy_failure_counts`, `dead_proxies`), updated `next_proxy`/`record_failure`/`record_success`, added `dead_proxy_count`
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- `extract/padelnomics_extract/src/padelnomics_extract/playtomic_tenants.py`: `_fetch_page_via_cycler` passes `proxy_url` to `record_success`/`record_failure`
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- `extract/padelnomics_extract/src/padelnomics_extract/playtomic_availability.py`: `_worker` returns `(proxy_url, result)` tuple; serial loops in `extract` and `extract_recheck` capture `proxy_url` before passing to `record_success`/`record_failure`
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- `web/tests/test_supervisor.py`: 11 new tests in `TestTieredCyclerDeadProxyTracking` covering dead proxy skipping, auto-escalation, `dead_proxy_count`, backward compat, and thread safety
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### Added
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- **Affiliate programs management** — centralised retailer config (`affiliate_programs` table) with URL template + tracking tag + commission %. Products now use a program dropdown + product identifier (e.g. ASIN) instead of manually baking full URLs. URL is assembled at redirect time via `build_affiliate_url()`, so changing a tag propagates instantly to all products. Legacy products (baked `affiliate_url`) continue to work via fallback. Amazon OneLink configured in the Associates dashboard handles geo-redirect to local marketplaces — no per-country programs needed.
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- `web/src/padelnomics/migrations/versions/0027_affiliate_programs.py`: `affiliate_programs` table, nullable `program_id` + `product_identifier` columns on `affiliate_products`, seeds "Amazon" program, backfills ASINs from existing URLs
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@@ -17,6 +24,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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- 15 new tests in `web/tests/test_affiliate.py` (41 total)
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### Fixed
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- **Data Platform admin view showing stale/zero row counts** — Docker web containers were mounting `/opt/padelnomics/data` (stale copy) instead of `/data/padelnomics` (live supervisor output). Fixed volume mount in all 6 containers (blue/green × app/worker/scheduler) and added `LANDING_DIR=/app/data/pipeline/landing` so extraction stats and landing zone file stats are visible to the web app.
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- **`workflows.toml` never found in dev** — `_REPO_ROOT` in `pipeline_routes.py` used `parents[5]` (one level too far up) instead of `parents[4]`. Workflow schedules now display correctly on the pipeline overview tab in dev.
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- **Article preview frontmatter bug** — `_rebuild_article()` in `admin/routes.py` now strips YAML frontmatter before passing markdown to `mistune.html()`, preventing raw `title:`, `slug:` etc. from appearing as visible text in article previews.
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### Added
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@@ -60,9 +60,10 @@ services:
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environment:
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- DATABASE_PATH=/app/data/app.db
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- SERVING_DUCKDB_PATH=/app/data/pipeline/analytics.duckdb
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- LANDING_DIR=/app/data/pipeline/landing
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volumes:
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- app-data:/app/data
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- /opt/padelnomics/data:/app/data/pipeline:ro
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- /data/padelnomics:/app/data/pipeline:ro
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networks:
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- net
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healthcheck:
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@@ -82,9 +83,10 @@ services:
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environment:
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- DATABASE_PATH=/app/data/app.db
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- SERVING_DUCKDB_PATH=/app/data/pipeline/analytics.duckdb
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- LANDING_DIR=/app/data/pipeline/landing
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volumes:
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- app-data:/app/data
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- /opt/padelnomics/data:/app/data/pipeline:ro
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- /data/padelnomics:/app/data/pipeline:ro
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networks:
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- net
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@@ -98,9 +100,10 @@ services:
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environment:
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- DATABASE_PATH=/app/data/app.db
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- SERVING_DUCKDB_PATH=/app/data/pipeline/analytics.duckdb
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- LANDING_DIR=/app/data/pipeline/landing
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volumes:
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- app-data:/app/data
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- /opt/padelnomics/data:/app/data/pipeline:ro
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- /data/padelnomics:/app/data/pipeline:ro
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networks:
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- net
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@@ -115,9 +118,10 @@ services:
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environment:
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- DATABASE_PATH=/app/data/app.db
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- SERVING_DUCKDB_PATH=/app/data/pipeline/analytics.duckdb
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- LANDING_DIR=/app/data/pipeline/landing
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volumes:
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- app-data:/app/data
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- /opt/padelnomics/data:/app/data/pipeline:ro
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- /data/padelnomics:/app/data/pipeline:ro
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networks:
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- net
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healthcheck:
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@@ -137,9 +141,10 @@ services:
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environment:
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- DATABASE_PATH=/app/data/app.db
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- SERVING_DUCKDB_PATH=/app/data/pipeline/analytics.duckdb
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- LANDING_DIR=/app/data/pipeline/landing
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volumes:
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- app-data:/app/data
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- /opt/padelnomics/data:/app/data/pipeline:ro
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- /data/padelnomics:/app/data/pipeline:ro
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networks:
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- net
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@@ -153,9 +158,10 @@ services:
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environment:
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- DATABASE_PATH=/app/data/app.db
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- SERVING_DUCKDB_PATH=/app/data/pipeline/analytics.duckdb
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- LANDING_DIR=/app/data/pipeline/landing
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volumes:
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- app-data:/app/data
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- /opt/padelnomics/data:/app/data/pipeline:ro
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- /data/padelnomics:/app/data/pipeline:ro
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networks:
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- net
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@@ -213,9 +213,10 @@ def _fetch_venues_parallel(
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completed_count = 0
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lock = threading.Lock()
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def _worker(tenant_id: str) -> dict | None:
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def _worker(tenant_id: str) -> tuple[str | None, dict | None]:
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proxy_url = cycler["next_proxy"]()
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return _fetch_venue_availability(tenant_id, start_min_str, start_max_str, proxy_url)
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result = _fetch_venue_availability(tenant_id, start_min_str, start_max_str, proxy_url)
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return proxy_url, result
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with ThreadPoolExecutor(max_workers=worker_count) as pool:
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for batch_start in range(0, len(tenant_ids), PARALLEL_BATCH_SIZE):
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@@ -231,17 +232,17 @@ def _fetch_venues_parallel(
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batch_futures = {pool.submit(_worker, tid): tid for tid in batch}
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for future in as_completed(batch_futures):
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result = future.result()
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proxy_url, result = future.result()
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with lock:
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completed_count += 1
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if result is not None:
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venues_data.append(result)
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cycler["record_success"]()
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cycler["record_success"](proxy_url)
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if on_result is not None:
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on_result(result)
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else:
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venues_errored += 1
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cycler["record_failure"]()
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cycler["record_failure"](proxy_url)
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if completed_count % 500 == 0:
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logger.info(
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@@ -336,16 +337,17 @@ def extract(
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else:
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logger.info("Serial mode: 1 worker, %d venues", len(venues_to_process))
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for i, tenant_id in enumerate(venues_to_process):
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proxy_url = cycler["next_proxy"]()
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result = _fetch_venue_availability(
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tenant_id, start_min_str, start_max_str, cycler["next_proxy"](),
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tenant_id, start_min_str, start_max_str, proxy_url,
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)
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if result is not None:
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new_venues_data.append(result)
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cycler["record_success"]()
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cycler["record_success"](proxy_url)
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_on_result(result)
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else:
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venues_errored += 1
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cycler["record_failure"]()
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cycler["record_failure"](proxy_url)
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if cycler["is_exhausted"]():
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logger.error("All proxy tiers exhausted — writing partial results")
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break
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@@ -500,13 +502,14 @@ def extract_recheck(
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venues_data = []
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venues_errored = 0
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for tid in venues_to_recheck:
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result = _fetch_venue_availability(tid, start_min_str, start_max_str, cycler["next_proxy"]())
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proxy_url = cycler["next_proxy"]()
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result = _fetch_venue_availability(tid, start_min_str, start_max_str, proxy_url)
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if result is not None:
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venues_data.append(result)
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cycler["record_success"]()
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cycler["record_success"](proxy_url)
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else:
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venues_errored += 1
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cycler["record_failure"]()
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cycler["record_failure"](proxy_url)
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if cycler["is_exhausted"]():
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logger.error("All proxy tiers exhausted — writing partial recheck results")
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break
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@@ -10,11 +10,11 @@ API notes (discovered 2026-02):
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- `size=100` is the maximum effective page size
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- ~14K venues globally as of Feb 2026
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Parallel mode: when PROXY_URLS is set, fires batch_size = len(proxy_urls)
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pages concurrently. Each page gets its own fresh session + proxy. Pages beyond
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the last one return empty lists (safe — just triggers the done condition).
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Without proxies, falls back to single-threaded with THROTTLE_SECONDS between
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pages.
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Parallel mode: when proxy tiers are configured, fires BATCH_SIZE pages
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concurrently. Each page gets its own fresh session + proxy from the tiered
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cycler. On failure the cycler escalates through free → datacenter →
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residential tiers. Without proxies, falls back to single-threaded with
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THROTTLE_SECONDS between pages.
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Rate: 1 req / 2 s per IP (see docs/data-sources-inventory.md §1.2).
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@@ -22,6 +22,7 @@ Landing: {LANDING_DIR}/playtomic/{year}/{month}/tenants.jsonl.gz
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"""
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import json
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import os
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import sqlite3
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import time
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from concurrent.futures import ThreadPoolExecutor, as_completed
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@@ -31,7 +32,7 @@ from pathlib import Path
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import niquests
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from ._shared import HTTP_TIMEOUT_SECONDS, run_extractor, setup_logging, ua_for_proxy
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from .proxy import load_proxy_tiers, make_round_robin_cycler
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from .proxy import load_proxy_tiers, make_tiered_cycler
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from .utils import compress_jsonl_atomic, landing_path
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logger = setup_logging("padelnomics.extract.playtomic_tenants")
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@@ -42,6 +43,9 @@ PLAYTOMIC_TENANTS_URL = "https://api.playtomic.io/v1/tenants"
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THROTTLE_SECONDS = 2
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PAGE_SIZE = 100
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MAX_PAGES = 500 # safety bound — ~50K venues max, well above current ~14K
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BATCH_SIZE = 20 # concurrent pages per batch (fixed, independent of proxy count)
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CIRCUIT_BREAKER_THRESHOLD = int(os.environ.get("CIRCUIT_BREAKER_THRESHOLD") or "10")
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MAX_PAGE_ATTEMPTS = 5 # max retries per individual page before giving up
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def _fetch_one_page(proxy_url: str | None, page: int) -> tuple[int, list[dict]]:
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@@ -61,22 +65,57 @@ def _fetch_one_page(proxy_url: str | None, page: int) -> tuple[int, list[dict]]:
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return (page, tenants)
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def _fetch_pages_parallel(pages: list[int], next_proxy) -> list[tuple[int, list[dict]]]:
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"""Fetch multiple pages concurrently. Returns [(page_num, tenants_list), ...]."""
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def _fetch_page_via_cycler(cycler: dict, page: int) -> tuple[int, list[dict]]:
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"""Fetch a single page, retrying across proxy tiers via the circuit breaker.
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On each attempt, pulls the next proxy from the active tier. Records
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success/failure so the circuit breaker can escalate tiers. Raises
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RuntimeError if all tiers are exhausted or MAX_PAGE_ATTEMPTS is exceeded.
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"""
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last_exc: Exception | None = None
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for attempt in range(MAX_PAGE_ATTEMPTS):
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proxy_url = cycler["next_proxy"]()
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if proxy_url is None: # all tiers exhausted
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raise RuntimeError(f"All proxy tiers exhausted fetching page {page}")
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try:
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result = _fetch_one_page(proxy_url, page)
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cycler["record_success"](proxy_url)
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return result
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except Exception as exc:
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last_exc = exc
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logger.warning(
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"Page %d attempt %d/%d failed (proxy=%s): %s",
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page,
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attempt + 1,
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MAX_PAGE_ATTEMPTS,
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proxy_url,
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exc,
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)
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cycler["record_failure"](proxy_url)
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if cycler["is_exhausted"]():
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raise RuntimeError(f"All proxy tiers exhausted fetching page {page}") from exc
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raise RuntimeError(f"Page {page} failed after {MAX_PAGE_ATTEMPTS} attempts") from last_exc
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def _fetch_pages_parallel(pages: list[int], cycler: dict) -> list[tuple[int, list[dict]]]:
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"""Fetch multiple pages concurrently using the tiered cycler.
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Returns [(page_num, tenants_list), ...]. Raises if any page exhausts all tiers.
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"""
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with ThreadPoolExecutor(max_workers=len(pages)) as pool:
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futures = [pool.submit(_fetch_one_page, next_proxy(), p) for p in pages]
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futures = [pool.submit(_fetch_page_via_cycler, cycler, p) for p in pages]
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return [f.result() for f in as_completed(futures)]
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def extract(
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landing_dir: Path,
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year_month: str, # noqa: ARG001 — unused; tenants uses ISO week partition instead
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year_month: str, # noqa: ARG001 — unused; tenants uses daily partition instead
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conn: sqlite3.Connection,
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session: niquests.Session,
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) -> dict:
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"""Fetch all Playtomic venues via global pagination. Returns run metrics.
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Partitioned by ISO week (e.g. 2026/W09) so each weekly run produces a
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Partitioned by day (e.g. 2026/03/01) so each daily run produces a
|
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fresh file. _load_tenant_ids() in playtomic_availability globs across all
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partitions and picks the most recent one.
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"""
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@@ -89,12 +128,16 @@ def extract(
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return {"files_written": 0, "files_skipped": 1, "bytes_written": 0}
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tiers = load_proxy_tiers()
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all_proxies = [url for tier in tiers for url in tier]
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next_proxy = make_round_robin_cycler(all_proxies) if all_proxies else None
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batch_size = len(all_proxies) if all_proxies else 1
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cycler = make_tiered_cycler(tiers, CIRCUIT_BREAKER_THRESHOLD) if tiers else None
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batch_size = BATCH_SIZE if cycler else 1
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if next_proxy:
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logger.info("Parallel mode: %d pages per batch (%d proxies across %d tier(s))", batch_size, len(all_proxies), len(tiers))
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if cycler:
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logger.info(
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"Parallel mode: %d pages/batch, %d tier(s), threshold=%d",
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batch_size,
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cycler["tier_count"](),
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CIRCUIT_BREAKER_THRESHOLD,
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)
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else:
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logger.info("Serial mode: 1 page at a time (no proxies)")
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@@ -104,15 +147,33 @@ def extract(
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done = False
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while not done and page < MAX_PAGES:
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if cycler and cycler["is_exhausted"]():
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logger.error(
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"All proxy tiers exhausted — stopping at page %d (%d venues collected)",
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page,
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len(all_tenants),
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)
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break
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batch_end = min(page + batch_size, MAX_PAGES)
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pages_to_fetch = list(range(page, batch_end))
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|
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if next_proxy and len(pages_to_fetch) > 1:
|
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if cycler and len(pages_to_fetch) > 1:
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logger.info(
|
||||
"Fetching pages %d-%d in parallel (%d workers, total so far: %d)",
|
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page, batch_end - 1, len(pages_to_fetch), len(all_tenants),
|
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page,
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batch_end - 1,
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len(pages_to_fetch),
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len(all_tenants),
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)
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results = _fetch_pages_parallel(pages_to_fetch, next_proxy)
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try:
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results = _fetch_pages_parallel(pages_to_fetch, cycler)
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except RuntimeError:
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logger.error(
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||||
"Proxy tiers exhausted mid-batch — writing partial results (%d venues)",
|
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len(all_tenants),
|
||||
)
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||||
break
|
||||
else:
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# Serial: reuse the shared session, throttle between pages
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page_num = pages_to_fetch[0]
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@@ -126,7 +187,7 @@ def extract(
|
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)
|
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results = [(page_num, tenants)]
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||||
|
||||
# Process pages in order so the done-detection on < PAGE_SIZE is deterministic
|
||||
# Process pages in order so done-detection on < PAGE_SIZE is deterministic
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||||
for p, tenants in sorted(results):
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new_count = 0
|
||||
for tenant in tenants:
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||||
@@ -137,7 +198,11 @@ def extract(
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new_count += 1
|
||||
|
||||
logger.info(
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||||
"page=%d got=%d new=%d total=%d", p, len(tenants), new_count, len(all_tenants),
|
||||
"page=%d got=%d new=%d total=%d",
|
||||
p,
|
||||
len(tenants),
|
||||
new_count,
|
||||
len(all_tenants),
|
||||
)
|
||||
|
||||
# Last page — fewer than PAGE_SIZE results means we've exhausted the list
|
||||
@@ -146,7 +211,7 @@ def extract(
|
||||
break
|
||||
|
||||
page = batch_end
|
||||
if not next_proxy:
|
||||
if not cycler:
|
||||
time.sleep(THROTTLE_SECONDS)
|
||||
|
||||
# Write each tenant as a JSONL line, then compress atomically
|
||||
|
||||
@@ -134,8 +134,8 @@ def make_sticky_selector(proxy_urls: list[str]):
|
||||
return select_proxy
|
||||
|
||||
|
||||
def make_tiered_cycler(tiers: list[list[str]], threshold: int) -> dict:
|
||||
"""Thread-safe N-tier proxy cycler with circuit breaker.
|
||||
def make_tiered_cycler(tiers: list[list[str]], threshold: int, proxy_failure_limit: int = 3) -> dict:
|
||||
"""Thread-safe N-tier proxy cycler with circuit breaker and per-proxy dead tracking.
|
||||
|
||||
Uses tiers[0] until consecutive failures >= threshold, then escalates
|
||||
to tiers[1], then tiers[2], etc. Once all tiers are exhausted,
|
||||
@@ -144,13 +144,21 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int) -> dict:
|
||||
Failure counter resets on each escalation — the new tier gets a fresh start.
|
||||
Once exhausted, further record_failure() calls are no-ops.
|
||||
|
||||
Per-proxy dead tracking (when proxy_failure_limit > 0):
|
||||
Individual proxies are marked dead after proxy_failure_limit failures and
|
||||
skipped by next_proxy(). If all proxies in the active tier are dead,
|
||||
next_proxy() auto-escalates to the next tier. Both mechanisms coexist:
|
||||
per-proxy dead tracking removes broken individuals; tier-level threshold
|
||||
catches systemic failure even before any single proxy hits the limit.
|
||||
|
||||
Returns a dict of callables:
|
||||
next_proxy() -> str | None — URL from the active tier, or None
|
||||
record_success() -> None — resets consecutive failure counter
|
||||
record_failure() -> bool — True if just escalated to next tier
|
||||
next_proxy() -> str | None — URL from active tier (skips dead), or None
|
||||
record_success(proxy_url=None) -> None — resets consecutive failure counter
|
||||
record_failure(proxy_url=None) -> bool — True if just escalated to next tier
|
||||
is_exhausted() -> bool — True if all tiers exhausted
|
||||
active_tier_index() -> int — 0-based index of current tier
|
||||
tier_count() -> int — total number of tiers
|
||||
dead_proxy_count() -> int — number of individual proxies marked dead
|
||||
|
||||
Edge cases:
|
||||
Empty tiers list: next_proxy() always returns None, is_exhausted() True.
|
||||
@@ -158,28 +166,75 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int) -> dict:
|
||||
"""
|
||||
assert threshold > 0, f"threshold must be positive, got {threshold}"
|
||||
assert isinstance(tiers, list), f"tiers must be a list, got {type(tiers)}"
|
||||
assert proxy_failure_limit >= 0, f"proxy_failure_limit must be >= 0, got {proxy_failure_limit}"
|
||||
|
||||
lock = threading.Lock()
|
||||
cycles = [itertools.cycle(t) for t in tiers]
|
||||
state = {
|
||||
"active_tier": 0,
|
||||
"consecutive_failures": 0,
|
||||
"proxy_failure_counts": {}, # proxy_url -> int
|
||||
"dead_proxies": set(), # proxy URLs marked dead
|
||||
}
|
||||
|
||||
def next_proxy() -> str | None:
|
||||
with lock:
|
||||
idx = state["active_tier"]
|
||||
if idx >= len(cycles):
|
||||
return None
|
||||
return next(cycles[idx])
|
||||
# Try each remaining tier (bounded: at most len(tiers) escalations)
|
||||
for _ in range(len(tiers) + 1):
|
||||
idx = state["active_tier"]
|
||||
if idx >= len(cycles):
|
||||
return None
|
||||
|
||||
def record_success() -> None:
|
||||
tier_proxies = tiers[idx]
|
||||
tier_len = len(tier_proxies)
|
||||
|
||||
# Find a live proxy in this tier (bounded: try each proxy at most once)
|
||||
for _ in range(tier_len):
|
||||
candidate = next(cycles[idx])
|
||||
if candidate not in state["dead_proxies"]:
|
||||
return candidate
|
||||
|
||||
# All proxies in this tier are dead — auto-escalate
|
||||
state["consecutive_failures"] = 0
|
||||
state["active_tier"] += 1
|
||||
new_idx = state["active_tier"]
|
||||
if new_idx < len(tiers):
|
||||
logger.warning(
|
||||
"All proxies in tier %d are dead — auto-escalating to tier %d/%d",
|
||||
idx + 1,
|
||||
new_idx + 1,
|
||||
len(tiers),
|
||||
)
|
||||
else:
|
||||
logger.error(
|
||||
"All proxies in all %d tier(s) are dead — no more fallbacks",
|
||||
len(tiers),
|
||||
)
|
||||
|
||||
return None # safety fallback
|
||||
|
||||
def record_success(proxy_url: str | None = None) -> None:
|
||||
with lock:
|
||||
state["consecutive_failures"] = 0
|
||||
if proxy_url is not None:
|
||||
state["proxy_failure_counts"][proxy_url] = 0
|
||||
|
||||
def record_failure() -> bool:
|
||||
def record_failure(proxy_url: str | None = None) -> bool:
|
||||
"""Increment failure counter. Returns True if just escalated to next tier."""
|
||||
with lock:
|
||||
# Per-proxy dead tracking (additional to tier-level circuit breaker)
|
||||
if proxy_url is not None and proxy_failure_limit > 0:
|
||||
count = state["proxy_failure_counts"].get(proxy_url, 0) + 1
|
||||
state["proxy_failure_counts"][proxy_url] = count
|
||||
if count >= proxy_failure_limit and proxy_url not in state["dead_proxies"]:
|
||||
state["dead_proxies"].add(proxy_url)
|
||||
logger.warning(
|
||||
"Proxy %s marked dead after %d consecutive failures",
|
||||
proxy_url,
|
||||
count,
|
||||
)
|
||||
|
||||
# Tier-level circuit breaker (existing behavior)
|
||||
idx = state["active_tier"]
|
||||
if idx >= len(tiers):
|
||||
# Already exhausted — no-op
|
||||
@@ -219,6 +274,10 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int) -> dict:
|
||||
def tier_count() -> int:
|
||||
return len(tiers)
|
||||
|
||||
def dead_proxy_count() -> int:
|
||||
with lock:
|
||||
return len(state["dead_proxies"])
|
||||
|
||||
return {
|
||||
"next_proxy": next_proxy,
|
||||
"record_success": record_success,
|
||||
@@ -226,4 +285,5 @@ def make_tiered_cycler(tiers: list[list[str]], threshold: int) -> dict:
|
||||
"is_exhausted": is_exhausted,
|
||||
"active_tier_index": active_tier_index,
|
||||
"tier_count": tier_count,
|
||||
"dead_proxy_count": dead_proxy_count,
|
||||
}
|
||||
|
||||
@@ -19,8 +19,10 @@
|
||||
-- 4. Country-level income (global fallback from stg_income / ilc_di03)
|
||||
--
|
||||
-- Distance calculations use ST_Distance_Sphere (DuckDB spatial extension).
|
||||
-- A bounding-box pre-filter (~0.5°, ≈55km) reduces the cross-join before the
|
||||
-- exact sphere distance is computed.
|
||||
-- Spatial joins use BETWEEN predicates (not ABS()) to enable DuckDB's IEJoin
|
||||
-- (interval join) optimization: O((N+M) log M) vs O(N×M) nested-loop.
|
||||
-- Country pre-filters restrict the left side to ~20K rows for padel/tennis CTEs
|
||||
-- (~8 countries each), down from ~140K global locations.
|
||||
|
||||
MODEL (
|
||||
name foundation.dim_locations,
|
||||
@@ -147,6 +149,8 @@ padel_courts AS (
|
||||
WHERE lat IS NOT NULL AND lon IS NOT NULL
|
||||
),
|
||||
-- Nearest padel court distance per location (bbox pre-filter → exact sphere distance)
|
||||
-- BETWEEN enables DuckDB IEJoin (O((N+M) log M)) vs ABS() nested-loop (O(N×M)).
|
||||
-- Country pre-filter reduces left side from ~140K to ~20K rows (padel is ~8 countries).
|
||||
nearest_padel AS (
|
||||
SELECT
|
||||
l.geoname_id,
|
||||
@@ -158,9 +162,12 @@ nearest_padel AS (
|
||||
) AS nearest_padel_court_km
|
||||
FROM locations l
|
||||
JOIN padel_courts p
|
||||
-- ~55km bounding box pre-filter to limit cross-join before sphere calc
|
||||
ON ABS(l.lat - p.lat) < 0.5
|
||||
AND ABS(l.lon - p.lon) < 0.5
|
||||
-- ~55km bounding box pre-filter; BETWEEN triggers IEJoin optimization
|
||||
ON l.lat BETWEEN p.lat - 0.5 AND p.lat + 0.5
|
||||
AND l.lon BETWEEN p.lon - 0.5 AND p.lon + 0.5
|
||||
WHERE l.country_code IN (
|
||||
SELECT DISTINCT country_code FROM padel_courts WHERE country_code IS NOT NULL
|
||||
)
|
||||
GROUP BY l.geoname_id
|
||||
),
|
||||
-- Padel venues within 5km of each location (counts as "local padel supply")
|
||||
@@ -170,24 +177,35 @@ padel_local AS (
|
||||
COUNT(*) AS padel_venue_count
|
||||
FROM locations l
|
||||
JOIN padel_courts p
|
||||
ON ABS(l.lat - p.lat) < 0.05 -- ~5km bbox pre-filter
|
||||
AND ABS(l.lon - p.lon) < 0.05
|
||||
WHERE ST_Distance_Sphere(
|
||||
-- ~5km bbox pre-filter; BETWEEN triggers IEJoin optimization
|
||||
ON l.lat BETWEEN p.lat - 0.05 AND p.lat + 0.05
|
||||
AND l.lon BETWEEN p.lon - 0.05 AND p.lon + 0.05
|
||||
WHERE l.country_code IN (
|
||||
SELECT DISTINCT country_code FROM padel_courts WHERE country_code IS NOT NULL
|
||||
)
|
||||
AND ST_Distance_Sphere(
|
||||
ST_Point(l.lon, l.lat),
|
||||
ST_Point(p.lon, p.lat)
|
||||
) / 1000.0 <= 5.0
|
||||
GROUP BY l.geoname_id
|
||||
),
|
||||
-- Tennis courts within 25km of each location (sports culture proxy)
|
||||
-- Country pre-filter reduces left side from ~140K to ~20K rows (tennis courts are European only).
|
||||
tennis_nearby AS (
|
||||
SELECT
|
||||
l.geoname_id,
|
||||
COUNT(*) AS tennis_courts_within_25km
|
||||
FROM locations l
|
||||
JOIN staging.stg_tennis_courts t
|
||||
ON ABS(l.lat - t.lat) < 0.23 -- ~25km bbox pre-filter
|
||||
AND ABS(l.lon - t.lon) < 0.23
|
||||
WHERE ST_Distance_Sphere(
|
||||
-- ~25km bbox pre-filter; BETWEEN triggers IEJoin optimization
|
||||
ON l.lat BETWEEN t.lat - 0.23 AND t.lat + 0.23
|
||||
AND l.lon BETWEEN t.lon - 0.23 AND t.lon + 0.23
|
||||
WHERE l.country_code IN (
|
||||
SELECT DISTINCT country_code
|
||||
FROM staging.stg_tennis_courts
|
||||
WHERE country_code IS NOT NULL
|
||||
)
|
||||
AND ST_Distance_Sphere(
|
||||
ST_Point(l.lon, l.lat),
|
||||
ST_Point(t.lon, t.lat)
|
||||
) / 1000.0 <= 25.0
|
||||
|
||||
@@ -49,7 +49,7 @@ _LANDING_DIR = os.environ.get("LANDING_DIR", "data/landing")
|
||||
_SERVING_DUCKDB_PATH = os.environ.get("SERVING_DUCKDB_PATH", "data/analytics.duckdb")
|
||||
|
||||
# Repo root: web/src/padelnomics/admin/ → up 4 levels
|
||||
_REPO_ROOT = Path(__file__).resolve().parents[5]
|
||||
_REPO_ROOT = Path(__file__).resolve().parents[4]
|
||||
_WORKFLOWS_TOML = _REPO_ROOT / "infra" / "supervisor" / "workflows.toml"
|
||||
|
||||
# A "running" row older than this is considered stale/crashed.
|
||||
|
||||
@@ -3037,6 +3037,7 @@ async def outreach():
|
||||
current_search=search,
|
||||
current_follow_up=follow_up,
|
||||
page=page,
|
||||
outreach_email=EMAIL_ADDRESSES["outreach"],
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -40,8 +40,10 @@
|
||||
.admin-subnav {
|
||||
display: flex; align-items: stretch; padding: 0 2rem;
|
||||
background: #fff; border-bottom: 1px solid #E2E8F0;
|
||||
flex-shrink: 0; overflow-x: auto; gap: 0;
|
||||
flex-shrink: 0; overflow-x: auto; overflow-y: hidden; gap: 0;
|
||||
scrollbar-width: none;
|
||||
}
|
||||
.admin-subnav::-webkit-scrollbar { display: none; }
|
||||
.admin-subnav a {
|
||||
display: flex; align-items: center; gap: 5px;
|
||||
padding: 0 1px; margin: 0 13px 0 0; height: 42px;
|
||||
|
||||
@@ -3,6 +3,19 @@
|
||||
|
||||
{% block title %}Admin Dashboard - {{ config.APP_NAME }}{% endblock %}
|
||||
|
||||
{% block admin_head %}
|
||||
<style>
|
||||
.funnel-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, 1fr);
|
||||
gap: 0.75rem;
|
||||
}
|
||||
@media (min-width: 768px) {
|
||||
.funnel-grid { grid-template-columns: repeat(5, 1fr); }
|
||||
}
|
||||
</style>
|
||||
{% endblock %}
|
||||
|
||||
{% block admin_content %}
|
||||
<header class="flex justify-between items-center mb-8">
|
||||
<div>
|
||||
@@ -47,7 +60,7 @@
|
||||
|
||||
<!-- Lead Funnel -->
|
||||
<p class="text-xs font-semibold text-slate uppercase tracking-wider mb-2">Lead Funnel</p>
|
||||
<div style="display:grid;grid-template-columns:repeat(5,1fr);gap:0.75rem" class="mb-8">
|
||||
<div class="funnel-grid mb-8">
|
||||
<div class="card text-center border-l-4 border-l-electric" style="padding:0.75rem">
|
||||
<p class="text-xs text-slate">Planner Users</p>
|
||||
<p class="text-xl font-bold text-navy">{{ stats.planner_users }}</p>
|
||||
@@ -72,7 +85,7 @@
|
||||
|
||||
<!-- Supplier Stats -->
|
||||
<p class="text-xs font-semibold text-slate uppercase tracking-wider mb-2">Supplier Funnel</p>
|
||||
<div style="display:grid;grid-template-columns:repeat(5,1fr);gap:0.75rem" class="mb-8">
|
||||
<div class="funnel-grid mb-8">
|
||||
<div class="card text-center border-l-4 border-l-accent" style="padding:0.75rem">
|
||||
<p class="text-xs text-slate">Claimed Suppliers</p>
|
||||
<p class="text-xl font-bold text-navy">{{ stats.suppliers_claimed }}</p>
|
||||
|
||||
@@ -2,13 +2,30 @@
|
||||
{% set admin_page = "outreach" %}
|
||||
{% block title %}Outreach Pipeline - Admin - {{ config.APP_NAME }}{% endblock %}
|
||||
|
||||
{% block admin_head %}
|
||||
<style>
|
||||
.pipeline-status-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, 1fr);
|
||||
gap: 0.75rem;
|
||||
margin-bottom: 1.5rem;
|
||||
}
|
||||
@media (min-width: 640px) {
|
||||
.pipeline-status-grid { grid-template-columns: repeat(3, 1fr); }
|
||||
}
|
||||
@media (min-width: 1024px) {
|
||||
.pipeline-status-grid { grid-template-columns: repeat(6, 1fr); }
|
||||
}
|
||||
</style>
|
||||
{% endblock %}
|
||||
|
||||
{% block admin_content %}
|
||||
<header class="flex justify-between items-center mb-6">
|
||||
<div>
|
||||
<h1 class="text-2xl">Outreach</h1>
|
||||
<p class="text-sm text-slate mt-1">
|
||||
{{ pipeline.total }} supplier{{ 's' if pipeline.total != 1 else '' }} in pipeline
|
||||
· Sending domain: <span class="mono text-xs">hello.padelnomics.io</span>
|
||||
· Sending from: <span class="mono text-xs">{{ outreach_email }}</span>
|
||||
</p>
|
||||
</div>
|
||||
<div class="flex gap-2">
|
||||
@@ -18,7 +35,7 @@
|
||||
</header>
|
||||
|
||||
<!-- Pipeline cards -->
|
||||
<div style="display:grid;grid-template-columns:repeat(6,1fr);gap:0.75rem;margin-bottom:1.5rem">
|
||||
<div class="pipeline-status-grid">
|
||||
{% set status_colors = {
|
||||
'prospect': '#E2E8F0',
|
||||
'contacted': '#DBEAFE',
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
{% if emails %}
|
||||
<div class="card">
|
||||
<div style="overflow-x:auto">
|
||||
<table class="table">
|
||||
<thead>
|
||||
<tr>
|
||||
@@ -38,6 +39,7 @@
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
{% else %}
|
||||
<div class="card text-center" style="padding:2rem">
|
||||
|
||||
@@ -25,6 +25,7 @@
|
||||
|
||||
{% if leads %}
|
||||
<div class="card">
|
||||
<div style="overflow-x:auto">
|
||||
<table class="table">
|
||||
<thead>
|
||||
<tr>
|
||||
@@ -58,6 +59,7 @@
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Pagination -->
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
{% if suppliers %}
|
||||
<div class="card">
|
||||
<div style="overflow-x:auto">
|
||||
<table class="table">
|
||||
<thead>
|
||||
<tr>
|
||||
@@ -19,6 +20,7 @@
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
{% else %}
|
||||
<div class="card text-center" style="padding:2rem">
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
{% if suppliers %}
|
||||
<div class="card">
|
||||
<div style="overflow-x:auto">
|
||||
<table class="table">
|
||||
<thead>
|
||||
<tr>
|
||||
@@ -47,6 +48,7 @@
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
{% else %}
|
||||
<div class="card text-center" style="padding:2rem">
|
||||
|
||||
@@ -4,6 +4,15 @@
|
||||
|
||||
{% block admin_head %}
|
||||
<style>
|
||||
.pipeline-stat-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, 1fr);
|
||||
gap: 0.75rem;
|
||||
}
|
||||
@media (min-width: 768px) {
|
||||
.pipeline-stat-grid { grid-template-columns: repeat(4, 1fr); }
|
||||
}
|
||||
|
||||
.pipeline-tabs {
|
||||
display: flex; gap: 0; border-bottom: 2px solid #E2E8F0; margin-bottom: 1.5rem;
|
||||
}
|
||||
@@ -46,7 +55,7 @@
|
||||
</header>
|
||||
|
||||
<!-- Health stat cards -->
|
||||
<div style="display:grid;grid-template-columns:repeat(4,1fr);gap:0.75rem" class="mb-6">
|
||||
<div class="pipeline-stat-grid mb-6">
|
||||
<div class="card text-center" style="padding:0.875rem">
|
||||
<p class="text-xs text-slate">Total Runs</p>
|
||||
<p class="text-2xl font-bold text-navy metric">{{ summary.total | default(0) }}</p>
|
||||
|
||||
@@ -218,9 +218,7 @@
|
||||
.nav-bar[data-navopen="true"] .nav-mobile {
|
||||
display: flex;
|
||||
}
|
||||
.nav-mobile a,
|
||||
.nav-mobile button.nav-auth-btn,
|
||||
.nav-mobile a.nav-auth-btn {
|
||||
.nav-mobile a:not(.nav-auth-btn) {
|
||||
display: block;
|
||||
padding: 0.625rem 0;
|
||||
border-bottom: 1px solid #F1F5F9;
|
||||
@@ -230,15 +228,18 @@
|
||||
text-decoration: none;
|
||||
transition: color 0.15s;
|
||||
}
|
||||
.nav-mobile a:last-child { border-bottom: none; }
|
||||
.nav-mobile a:hover { color: #1D4ED8; }
|
||||
.nav-mobile a:not(.nav-auth-btn):last-child { border-bottom: none; }
|
||||
.nav-mobile a:not(.nav-auth-btn):hover { color: #1D4ED8; }
|
||||
/* nav-auth-btn in mobile menu: override block style, keep button colours */
|
||||
.nav-mobile a.nav-auth-btn,
|
||||
.nav-mobile button.nav-auth-btn {
|
||||
display: inline-flex;
|
||||
margin-top: 0.5rem;
|
||||
padding: 6px 16px;
|
||||
border-bottom: none;
|
||||
width: auto;
|
||||
align-self: flex-start;
|
||||
color: #fff;
|
||||
}
|
||||
.nav-mobile .nav-mobile-section {
|
||||
font-size: 0.6875rem;
|
||||
|
||||
@@ -500,3 +500,131 @@ class TestTieredCyclerNTier:
|
||||
t.join()
|
||||
|
||||
assert errors == [], f"Thread safety errors: {errors}"
|
||||
|
||||
|
||||
class TestTieredCyclerDeadProxyTracking:
|
||||
"""Per-proxy dead tracking: individual proxies marked dead are skipped."""
|
||||
|
||||
def test_dead_proxy_skipped_in_next_proxy(self):
|
||||
"""After a proxy hits the failure limit it is never returned again."""
|
||||
tiers = [["http://dead", "http://live"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=1)
|
||||
# Mark http://dead as dead
|
||||
cycler["record_failure"]("http://dead")
|
||||
# next_proxy must always return the live one
|
||||
for _ in range(6):
|
||||
assert cycler["next_proxy"]() == "http://live"
|
||||
|
||||
def test_dead_proxy_count_increments(self):
|
||||
tiers = [["http://a", "http://b", "http://c"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=2)
|
||||
assert cycler["dead_proxy_count"]() == 0
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 0 # only 1 failure, limit is 2
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 1
|
||||
cycler["record_failure"]("http://b")
|
||||
cycler["record_failure"]("http://b")
|
||||
assert cycler["dead_proxy_count"]() == 2
|
||||
|
||||
def test_auto_escalates_when_all_proxies_in_tier_dead(self):
|
||||
"""If all proxies in the active tier are dead, next_proxy auto-escalates."""
|
||||
tiers = [["http://t0a", "http://t0b"], ["http://t1"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=1)
|
||||
# Kill all proxies in tier 0
|
||||
cycler["record_failure"]("http://t0a")
|
||||
cycler["record_failure"]("http://t0b")
|
||||
# next_proxy should transparently escalate and return tier 1 proxy
|
||||
assert cycler["next_proxy"]() == "http://t1"
|
||||
|
||||
def test_auto_escalates_updates_active_tier_index(self):
|
||||
"""Auto-escalation via dead proxies bumps active_tier_index."""
|
||||
tiers = [["http://t0a", "http://t0b"], ["http://t1"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=1)
|
||||
cycler["record_failure"]("http://t0a")
|
||||
cycler["record_failure"]("http://t0b")
|
||||
cycler["next_proxy"]() # triggers auto-escalation
|
||||
assert cycler["active_tier_index"]() == 1
|
||||
|
||||
def test_returns_none_when_all_tiers_exhausted_by_dead_proxies(self):
|
||||
tiers = [["http://t0"], ["http://t1"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=1)
|
||||
cycler["record_failure"]("http://t0")
|
||||
cycler["record_failure"]("http://t1")
|
||||
assert cycler["next_proxy"]() is None
|
||||
|
||||
def test_record_success_resets_per_proxy_counter(self):
|
||||
"""Success resets the failure count so proxy is not marked dead."""
|
||||
tiers = [["http://a", "http://b"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=3)
|
||||
# Two failures — not dead yet
|
||||
cycler["record_failure"]("http://a")
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 0
|
||||
# Success resets the counter
|
||||
cycler["record_success"]("http://a")
|
||||
# Two more failures — still not dead (counter was reset)
|
||||
cycler["record_failure"]("http://a")
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 0
|
||||
# Third failure after reset — now dead
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 1
|
||||
|
||||
def test_dead_proxy_stays_dead_after_success(self):
|
||||
"""Once marked dead, a proxy is not revived by record_success."""
|
||||
tiers = [["http://a", "http://b"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=1)
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 1
|
||||
cycler["record_success"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 1
|
||||
# http://a is still skipped
|
||||
for _ in range(6):
|
||||
assert cycler["next_proxy"]() == "http://b"
|
||||
|
||||
def test_backward_compat_no_proxy_url(self):
|
||||
"""Calling record_failure/record_success without proxy_url still works."""
|
||||
tiers = [["http://t0"], ["http://t1"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=2)
|
||||
cycler["record_failure"]()
|
||||
cycler["record_failure"]() # escalates
|
||||
assert cycler["active_tier_index"]() == 1
|
||||
cycler["record_success"]()
|
||||
assert cycler["dead_proxy_count"]() == 0 # no per-proxy tracking happened
|
||||
|
||||
def test_proxy_failure_limit_zero_disables_per_proxy_tracking(self):
|
||||
"""proxy_failure_limit=0 disables per-proxy dead tracking entirely."""
|
||||
tiers = [["http://a", "http://b"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=10, proxy_failure_limit=0)
|
||||
for _ in range(100):
|
||||
cycler["record_failure"]("http://a")
|
||||
assert cycler["dead_proxy_count"]() == 0
|
||||
|
||||
def test_thread_safety_with_per_proxy_tracking(self):
|
||||
"""Concurrent record_failure(proxy_url) calls don't corrupt state."""
|
||||
import threading as _threading
|
||||
|
||||
tiers = [["http://t0a", "http://t0b", "http://t0c"], ["http://t1a"]]
|
||||
cycler = make_tiered_cycler(tiers, threshold=50, proxy_failure_limit=5)
|
||||
errors = []
|
||||
lock = _threading.Lock()
|
||||
|
||||
def worker():
|
||||
try:
|
||||
for _ in range(30):
|
||||
p = cycler["next_proxy"]()
|
||||
if p is not None:
|
||||
cycler["record_failure"](p)
|
||||
cycler["record_success"](p)
|
||||
except Exception as e:
|
||||
with lock:
|
||||
errors.append(e)
|
||||
|
||||
threads = [_threading.Thread(target=worker) for _ in range(10)]
|
||||
for t in threads:
|
||||
t.start()
|
||||
for t in threads:
|
||||
t.join()
|
||||
|
||||
assert errors == [], f"Thread safety errors: {errors}"
|
||||
|
||||
Reference in New Issue
Block a user