b6e0fcd925
- Auth cookie simple (SSO-ready) : login/logout, redirection si non authentifié
- Données isolées par utilisateur dans /data/users/{user_id}/
- Migration automatique des données legacy au premier login
- Page classement avec podium et tableau comparatif (score, précision zéro, conformité)
- Nav mise à jour : Classement, affichage utilisateur courant, déconnexion
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
"""Leaderboard stats: compare all users on overtime precision and directive compliance."""
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from models import list_users
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from stats import compute_all_stats, _compliance_over, _day_compliant
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from calcul import minutes_to_hhmm
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def compute_classement() -> list[dict]:
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"""Return ranked list of users with their key metrics."""
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results = []
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for user_id in list_users():
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s = compute_all_stats(user_id)
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if not s["weekly_balances"] and s["n_jours"] == 0:
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continue # skip empty accounts
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balances = [b["delta_min"] for b in s["weekly_balances"]]
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# Precision: % of weeks where |solde| ≤ 30 min (≈ at zero)
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if balances:
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pct_zero = round(100 * sum(1 for b in balances if abs(b) <= 30) / len(balances))
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mean_abs = round(sum(abs(b) for b in balances) / len(balances))
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else:
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pct_zero = None
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mean_abs = None
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conf_pct = s["comp_globale"]["pct"]
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# Combined score (SSO era: will weight per role/contract)
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score = round(
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(pct_zero or 0) * 0.6 + (conf_pct or 0) * 0.4
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)
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results.append({
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"user_id": user_id,
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"display_name": user_id.replace("_", " ").replace("-", " ").title(),
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"n_semaines": len(balances),
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"n_jours": s["n_jours"],
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"pct_zero": pct_zero, # % weeks ≈ 0 HS — higher = better
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"mean_abs_min": mean_abs, # mean abs(solde) in minutes — lower = better
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"mean_abs_str": minutes_to_hhmm(mean_abs) if mean_abs is not None else "—",
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"conf_pct": conf_pct, # directive compliance % — higher = better
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"score": score, # combined 0-100 — higher = better
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"avg_delta": s["avg_delta"],
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"avg_delta_min": s["avg_delta_min"],
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})
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results.sort(key=lambda r: -r["score"])
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return results
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