Datasets:
File size: 2,324 Bytes
9c4ed50 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | """Module: transfer_suggestions.py - Suggestions de Transferts.
Extrait de transferability.py pour conformité ISO 5055 (<300 lignes).
ISO Compliance:
- ISO/IEC 5055:2021 - Code Quality (<300 lignes)
- ISO/IEC 5259:2024 - Data Quality
Author: ALICE Engine Team
Last Updated: 2026-01-15
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from scripts.features.ce.types import TeamTransferability
if TYPE_CHECKING:
import pandas as pd
def calculate_transfer_score(team: TeamTransferability) -> float:
"""Calcule un score de transfert [-1, 1].
-1.0 = Donneur maximal (équipe condamnée)
+1.0 = Receveur prioritaire (course titre urgente)
0.0 = Neutre
Ce score permet de matcher donneurs et receveurs.
"""
if team.can_donate and not team.can_receive:
return -1.0 + (team.priority - 1) * 0.2
if team.can_receive and not team.can_donate:
return 1.0 - (team.priority - 1) * 0.2
return 0.0
def suggest_transfers(
transferability: pd.DataFrame,
club_id: str | None = None,
) -> list[dict]:
"""Suggère des transferts de joueurs entre équipes.
Args:
----
transferability: DataFrame issu de calculate_transferability
club_id: Optionnel - filtrer par club
Returns:
-------
Liste de suggestions:
[{"from_team": ..., "to_team": ..., "priority": ..., "reason": ...}]
"""
if transferability.empty:
return []
donors = transferability[transferability["can_donate"]].sort_values("priority")
receivers = transferability[transferability["can_receive"]].sort_values("priority")
suggestions = []
for _, donor in donors.iterrows():
for _, receiver in receivers.iterrows():
if donor["saison"] != receiver["saison"]:
continue
suggestions.append(
{
"from_team": donor["equipe"],
"to_team": receiver["equipe"],
"donor_scenario": donor["scenario"],
"receiver_scenario": receiver["scenario"],
"priority": receiver["priority"],
"reason": f"{donor['reason']} → {receiver['reason']}",
}
)
return sorted(suggestions, key=lambda x: x["priority"])
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