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Fix score of leagues

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This commit is contained in:
Janek Hlavatý
2026-03-25 21:49:47 +01:00
parent 1aeca0c420
commit 54e3218779
2 changed files with 7 additions and 4 deletions
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2
beaky-backend/src/beaky/link_classifier/classifier.py
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@@ -133,7 +133,7 @@ def _extract_legs(page: Page, fallback_date: datetime | None) -> list[Bet]:
title = leg.locator("h3").first.get_attribute("title") or "" title = leg.locator("h3").first.get_attribute("title") or ""
date_text = leg.locator(".betslip-leg-date span").first.inner_text() date_text = leg.locator(".betslip-leg-date span").first.inner_text()
bet_text = leg.locator("[data-selection-id]").first.inner_text() bet_text = leg.locator("[data-selection-id]").first.inner_text()
league = leg.locator(".f-mt-1.f-leading-tight.f-line-clamp-2").first.inner_text() league = leg.locator(".f-mt-1.f-leading-tight.f-line-clamp-2").first.inner_text().replace("Fotbal /", "")
team1, team2 = _parse_teams(title) team1, team2 = _parse_teams(title)
date = _parse_czech_date(date_text) or fallback_date or datetime.now() date = _parse_czech_date(date_text) or fallback_date or datetime.now()

9
beaky-backend/src/beaky/resolvers/resolver.py
View File

@@ -213,13 +213,13 @@ class TicketResolver:
return self._league_cache[key] return self._league_cache[key]
# Static map — fuzzy match # Static map — fuzzy match
patterns = list(self._league_map.keys()) patterns = [x.lower().strip() for x in self._league_map.keys()]
idx, score = _best_match(key, patterns) idx, score = _best_match(key, patterns)
if idx is not None: if idx is not None:
best_id = self._league_map[patterns[idx]] best_id = self._league_map[patterns[idx]]
_ansi.log(_ansi.gray(f" │ league {league_name!r} -> id={best_id} (static map, pattern={patterns[idx]!r}, score={score:.2f})")) _ansi.log(_ansi.gray(f" │ league {league_name!r} -> id={best_id} (static map, pattern={patterns[idx]!r}, score={score:.2f})"))
self._league_cache[key] = (best_id, 1.0) self._league_cache[key] = (best_id, score)
return best_id, 1.0 return best_id, score
# API fallback — fuzzy match all results # API fallback — fuzzy match all results
_ansi.log(_ansi.gray(f" │ GET /leagues search={league_name!r}")) _ansi.log(_ansi.gray(f" │ GET /leagues search={league_name!r}"))
@@ -307,7 +307,10 @@ def _best_fixture_match(fixtures: list[dict[str, Any]], team1: str, team2: str,
# Name similarity is the primary signal; date proximity is a tiebreaker # Name similarity is the primary signal; date proximity is a tiebreaker
home_names = [f["teams"]["home"]["name"] for f in fixtures] home_names = [f["teams"]["home"]["name"] for f in fixtures]
away_names = [f["teams"]["away"]["name"] for f in fixtures] away_names = [f["teams"]["away"]["name"] for f in fixtures]
print(home_names)
print(away_names)
name_scores = [(_similarity(team1, h) + _similarity(team2, a)) / 2 for h, a in zip(home_names, away_names)] name_scores = [(_similarity(team1, h) + _similarity(team2, a)) / 2 for h, a in zip(home_names, away_names)]
print(name_scores)
date_proxies = [_date_proximity(f, center) for f in fixtures] date_proxies = [_date_proximity(f, center) for f in fixtures]
combined = [n * 0.8 + d * 0.2 for n, d in zip(name_scores, date_proxies)] combined = [n * 0.8 + d * 0.2 for n, d in zip(name_scores, date_proxies)]
best_idx = max(range(len(combined)), key=lambda i: combined[i]) best_idx = max(range(len(combined)), key=lambda i: combined[i])