Merge data/wikipedia/{year}/ into data/{year}/ so there is a single
canonical location for World Cup JSON files. Update scrape and seed
scripts to use data/ instead of data/wikipedia/.
Re-scraped all 22 years (1930-2022) with fixed player name extraction
(full name from <a title="..."> rather than abbreviated display text)
so historical goals now show e.g. "Thomas Müller" not "Müller".
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add TEAM_ALIASES to lib/wiki-scraper.ts applied at extraction time so both
scraper and sync consistently produce canonical names. Removes the duplicate
alias map from seed.ts in favour of the shared normalizeTeam() export.
Aliases added:
Bosnia & Herzegovina → Bosnia and Herzegovina
USA → United States
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add worldcup.meta.json per year with host, teams_count, winner, runner_up,
third_place, fourth_place — derived from match results (Final/Third-place
match) with infobox as fallback for edge cases like 1950's round-robin final.
Fix infobox host extraction to handle <br>-separated multi-host entries
(2002: Japan / South Korea). Fix squad scraper to filter out zero-player
phantom sections that Wikipedia appends (References, Captains, etc.).
Drop app/data/world_cup.csv and the PLACEMENTS/parseCsv code in seed.ts —
all tournament metadata now comes from the scraped JSON files.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Move world_cup.csv to app/data/ directly (the only remaining Kaggle file
used by seed.ts for tournament metadata). Delete the rest of the Kaggle CSVs.
Update path constants in scrape-wikipedia.ts and seed.ts accordingly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add scripts/scrape-wikipedia.ts that fetches all 22 World Cups (1930–2022)
from English Wikipedia via MediaWiki API, handles group sub-pages, AET/penalty
detection, and goal parsing, writing openfootball-format JSON to app/data/openfootball/.
Rewrite scripts/seed.ts to read these local JSON files instead of the Kaggle
CSV, producing 965 matches and 2716 goals with per-group assignments for all
historical tournaments (enabling group standings on tournament pages).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- scripts/seed.ts: one-time import of Kaggle FIFA dataset (matches_1930_2022.csv,
world_cup.csv) covering all 964 matches and 2720 goals from 1930-2022 with full
scorer names, minutes, penalties, and own goals for every tournament
- scripts/sync.ts: stripped to 2026 only (openfootball live data); historical years
removed since Kaggle is now authoritative for 1930-2022
- Dockerfile: copy app/data into runner image; CMD runs seed.ts before server.js so
a fresh deployment auto-seeds on first start (skips if already seeded)
- package.json: add 'seed' script; use --force to re-import from updated CSV files
- app/data/kaggle/: bundle Kaggle CSV files in repo
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
valknar