feat(v2): add BCL snapshot extractor and command
This commit is contained in:
Alfredo Di Stasio
@ -1,3 +1,4 @@
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from .bcl import BCLSnapshotExtractor
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from .base import (
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BaseSnapshotExtractor,
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ExtractionResult,
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@ -12,6 +13,7 @@ from .registry import available_extractors, create_extractor
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__all__ = [
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"BaseSnapshotExtractor",
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"BCLSnapshotExtractor",
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"LBASnapshotExtractor",
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"ExtractionResult",
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"ExtractorError",
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137
apps/ingestion/extractors/bcl.py
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137
apps/ingestion/extractors/bcl.py
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@ -0,0 +1,137 @@
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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 BCLSnapshotExtractor(BaseSnapshotExtractor):
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"""
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Basketball Champions League 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 = "bcl"
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source_name = "bcl"
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def __init__(self, *, http_client: ResponsibleHttpClient | None = None):
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self.url = settings.EXTRACTOR_BCL_STATS_URL.strip()
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self.season_label = settings.EXTRACTOR_BCL_SEASON_LABEL.strip()
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self.competition_external_id = settings.EXTRACTOR_BCL_COMPETITION_EXTERNAL_ID.strip()
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self.competition_name = settings.EXTRACTOR_BCL_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_BCL_STATS_URL is required for bcl extractor.")
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if not self.season_label:
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raise ExtractorConfigError("EXTRACTOR_BCL_SEASON_LABEL is required for bcl extractor.")
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if not self.competition_external_id:
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raise ExtractorConfigError("EXTRACTOR_BCL_COMPETITION_EXTERNAL_ID is required.")
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if not self.competition_name:
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raise ExtractorConfigError("EXTRACTOR_BCL_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("BCL 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("BCL 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"bcl 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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@ -1,10 +1,12 @@
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from __future__ import annotations
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from .bcl import BCLSnapshotExtractor
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from .base import BaseSnapshotExtractor, ExtractorConfigError
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from .lba import LBASnapshotExtractor
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from .public_json import PublicJsonSnapshotExtractor
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EXTRACTOR_REGISTRY: dict[str, type[BaseSnapshotExtractor]] = {
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BCLSnapshotExtractor.extractor_name: BCLSnapshotExtractor,
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LBASnapshotExtractor.extractor_name: LBASnapshotExtractor,
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PublicJsonSnapshotExtractor.extractor_name: PublicJsonSnapshotExtractor,
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}
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61
apps/ingestion/management/commands/run_bcl_extractor.py
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61
apps/ingestion/management/commands/run_bcl_extractor.py
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@ -0,0 +1,61 @@
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from __future__ import annotations
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from django.core.management.base import BaseCommand, CommandError
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from django.utils.dateparse import parse_date
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from apps.ingestion.extractors import ExtractorError, create_extractor
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class Command(BaseCommand):
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help = "Run only the BCL extractor and emit an import-ready snapshot JSON."
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def add_arguments(self, parser):
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parser.add_argument(
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"--output-path",
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dest="output_path",
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default=None,
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help="Directory or .json path to write output (default incoming dir).",
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)
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parser.add_argument(
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"--snapshot-date",
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dest="snapshot_date",
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default=None,
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help="Override snapshot date in YYYY-MM-DD format.",
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)
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parser.add_argument(
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"--dry-run",
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action="store_true",
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help="Validate without writing output.",
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)
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parser.add_argument(
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"--indent",
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type=int,
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default=2,
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help="JSON indent level for emitted file.",
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)
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def handle(self, *args, **options):
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snapshot_date = None
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if options["snapshot_date"]:
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snapshot_date = parse_date(options["snapshot_date"])
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if snapshot_date is None:
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raise CommandError("--snapshot-date must be YYYY-MM-DD.")
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try:
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extractor = create_extractor("bcl")
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result = extractor.run(
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output_path=options["output_path"],
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snapshot_date=snapshot_date,
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write_output=not options["dry_run"],
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indent=options["indent"],
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)
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except ExtractorError as exc:
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raise CommandError(str(exc)) from exc
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output = str(result.output_path) if result.output_path else "<dry-run>"
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self.stdout.write(
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self.style.SUCCESS(
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f"BCL extractor completed: source={result.source_name} "
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f"date={result.snapshot_date} records={result.records_count} output={output}"
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)
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)
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