138 lines
6.6 KiB
Python
138 lines
6.6 KiB
Python
from __future__ import annotations
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from typing import Any
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from django.conf import settings
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from .base import BaseSnapshotExtractor, ExtractorConfigError, ExtractorNormalizationError, ExtractorParseError
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from .http import ResponsibleHttpClient
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def _first_non_empty(record: dict[str, Any], *keys: str) -> Any:
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for key in keys:
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value = record.get(key)
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if value not in (None, ""):
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return value
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return None
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class LBASnapshotExtractor(BaseSnapshotExtractor):
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"""
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LBA (Lega Basket Serie A) MVP extractor.
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Scope is intentionally conservative:
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- one configured public stats endpoint
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- one configured season label
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- normalized player-season rows only
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"""
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extractor_name = "lba"
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source_name = "lba"
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def __init__(self, *, http_client: ResponsibleHttpClient | None = None):
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self.url = settings.EXTRACTOR_LBA_STATS_URL.strip()
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self.season_label = settings.EXTRACTOR_LBA_SEASON_LABEL.strip()
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self.competition_external_id = settings.EXTRACTOR_LBA_COMPETITION_EXTERNAL_ID.strip()
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self.competition_name = settings.EXTRACTOR_LBA_COMPETITION_NAME.strip()
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self.include_raw_payload = settings.EXTRACTOR_INCLUDE_RAW_PAYLOAD
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self.http_client = http_client or ResponsibleHttpClient(
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user_agent=settings.EXTRACTOR_USER_AGENT,
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timeout_seconds=settings.EXTRACTOR_HTTP_TIMEOUT_SECONDS,
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retries=settings.EXTRACTOR_HTTP_RETRIES,
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retry_sleep_seconds=settings.EXTRACTOR_RETRY_SLEEP_SECONDS,
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request_delay_seconds=settings.EXTRACTOR_REQUEST_DELAY_SECONDS,
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)
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if not self.url:
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raise ExtractorConfigError("EXTRACTOR_LBA_STATS_URL is required for lba extractor.")
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if not self.season_label:
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raise ExtractorConfigError("EXTRACTOR_LBA_SEASON_LABEL is required for lba extractor.")
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if not self.competition_external_id:
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raise ExtractorConfigError("EXTRACTOR_LBA_COMPETITION_EXTERNAL_ID is required.")
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if not self.competition_name:
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raise ExtractorConfigError("EXTRACTOR_LBA_COMPETITION_NAME is required.")
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def fetch(self) -> Any:
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return self.http_client.get_json(self.url)
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def parse(self, payload: Any) -> list[dict[str, Any]]:
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if isinstance(payload, list):
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return payload
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if not isinstance(payload, dict):
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raise ExtractorParseError("LBA payload must be a JSON object or array.")
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for key in ("records", "data", "players", "items"):
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rows = payload.get(key)
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if isinstance(rows, list):
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return rows
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raise ExtractorParseError("LBA payload must contain one of: records, data, players, items.")
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def normalize_record(self, source_record: dict[str, Any]) -> dict[str, Any]:
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player_obj = source_record.get("player") if isinstance(source_record.get("player"), dict) else {}
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team_obj = source_record.get("team") if isinstance(source_record.get("team"), dict) else {}
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full_name = _first_non_empty(
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source_record,
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"full_name",
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"player_name",
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"name",
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) or _first_non_empty(player_obj, "full_name", "name")
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first_name = _first_non_empty(source_record, "first_name") or _first_non_empty(player_obj, "first_name")
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last_name = _first_non_empty(source_record, "last_name") or _first_non_empty(player_obj, "last_name")
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player_external_id = _first_non_empty(
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source_record, "player_external_id", "player_id", "athlete_id"
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) or _first_non_empty(player_obj, "id", "player_id")
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team_external_id = _first_non_empty(source_record, "team_external_id", "team_id") or _first_non_empty(
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team_obj, "id", "team_id"
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)
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team_name = _first_non_empty(source_record, "team_name", "team") or _first_non_empty(team_obj, "name")
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normalized = {
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"competition_external_id": self.competition_external_id,
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"competition_name": self.competition_name,
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"season": self.season_label,
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"team_external_id": team_external_id,
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"team_name": team_name,
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"player_external_id": player_external_id,
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"full_name": full_name,
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"first_name": first_name,
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"last_name": last_name,
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"birth_date": _first_non_empty(source_record, "birth_date") or _first_non_empty(
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player_obj, "birth_date", "dob"
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),
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"nationality": _first_non_empty(source_record, "nationality")
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or _first_non_empty(player_obj, "nationality", "country"),
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"height_cm": _first_non_empty(source_record, "height_cm") or _first_non_empty(player_obj, "height_cm"),
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"weight_kg": _first_non_empty(source_record, "weight_kg") or _first_non_empty(player_obj, "weight_kg"),
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"position": _first_non_empty(source_record, "position") or _first_non_empty(player_obj, "position"),
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"role": _first_non_empty(source_record, "role"),
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"games_played": _first_non_empty(source_record, "games_played", "gp"),
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"minutes_per_game": _first_non_empty(source_record, "minutes_per_game", "mpg"),
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"points_per_game": _first_non_empty(source_record, "points_per_game", "ppg"),
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"rebounds_per_game": _first_non_empty(source_record, "rebounds_per_game", "rpg"),
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"assists_per_game": _first_non_empty(source_record, "assists_per_game", "apg"),
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"steals_per_game": _first_non_empty(source_record, "steals_per_game", "spg"),
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"blocks_per_game": _first_non_empty(source_record, "blocks_per_game", "bpg"),
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"turnovers_per_game": _first_non_empty(source_record, "turnovers_per_game", "tov"),
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"fg_pct": _first_non_empty(source_record, "fg_pct", "fg_percentage"),
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"three_pt_pct": _first_non_empty(
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source_record, "three_pt_pct", "three_point_pct", "3p_pct", "three_pct"
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),
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"ft_pct": _first_non_empty(source_record, "ft_pct", "ft_percentage"),
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}
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missing = [key for key, value in normalized.items() if key != "role" and value in (None, "")]
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if missing:
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raise ExtractorNormalizationError(f"lba row missing required fields: {', '.join(sorted(missing))}")
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normalized["team_external_id"] = str(normalized["team_external_id"]).strip()
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normalized["player_external_id"] = str(normalized["player_external_id"]).strip()
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normalized["competition_external_id"] = str(normalized["competition_external_id"]).strip()
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normalized["season"] = str(normalized["season"]).strip()
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if self.include_raw_payload:
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normalized["raw_payload"] = source_record
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return normalized
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