feat(v2): add snapshot extractor framework and run command
This commit is contained in:
Alfredo Di Stasio
22
apps/ingestion/extractors/__init__.py
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22
apps/ingestion/extractors/__init__.py
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from .base import (
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BaseSnapshotExtractor,
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ExtractionResult,
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ExtractorConfigError,
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ExtractorError,
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ExtractorFetchError,
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ExtractorNormalizationError,
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ExtractorParseError,
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)
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from .registry import available_extractors, create_extractor
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__all__ = [
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"BaseSnapshotExtractor",
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"ExtractionResult",
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"ExtractorError",
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"ExtractorConfigError",
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"ExtractorFetchError",
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"ExtractorParseError",
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"ExtractorNormalizationError",
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"available_extractors",
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"create_extractor",
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]
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150
apps/ingestion/extractors/base.py
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150
apps/ingestion/extractors/base.py
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from __future__ import annotations
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import json
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import logging
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from abc import ABC, abstractmethod
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from dataclasses import dataclass
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from datetime import date
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from pathlib import Path
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from typing import Any
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from django.conf import settings
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from apps.ingestion.snapshots import SnapshotSchemaValidator
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logger = logging.getLogger(__name__)
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class ExtractorError(RuntimeError):
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"""Base extractor exception."""
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class ExtractorConfigError(ExtractorError):
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"""Raised when extractor configuration is invalid."""
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class ExtractorFetchError(ExtractorError):
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"""Raised when remote/source fetch fails."""
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class ExtractorParseError(ExtractorError):
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"""Raised when fetched content cannot be parsed."""
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class ExtractorNormalizationError(ExtractorError):
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"""Raised when source rows cannot be normalized."""
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@dataclass
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class ExtractionResult:
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extractor_name: str
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source_name: str
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snapshot_date: date
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records_count: int
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output_path: Path | None
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class BaseSnapshotExtractor(ABC):
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extractor_name = "base"
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source_name = "unknown_source"
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@abstractmethod
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def fetch(self) -> Any:
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"""Fetch source payload from a source endpoint/resource."""
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@abstractmethod
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def parse(self, payload: Any) -> list[dict[str, Any]]:
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"""Parse fetched payload into source-specific record dictionaries."""
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@abstractmethod
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def normalize_record(self, source_record: dict[str, Any]) -> dict[str, Any]:
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"""Normalize a source record into HoopScout snapshot record shape."""
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def resolve_snapshot_date(self) -> date:
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return date.today()
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def normalize_records(self, source_records: list[dict[str, Any]]) -> list[dict[str, Any]]:
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normalized: list[dict[str, Any]] = []
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for idx, row in enumerate(source_records):
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if not isinstance(row, dict):
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raise ExtractorNormalizationError(f"Parsed record at index {idx} must be an object.")
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normalized.append(self.normalize_record(row))
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return normalized
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def build_snapshot(self, records: list[dict[str, Any]], snapshot_date: date) -> dict[str, Any]:
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return {
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"source_name": self.source_name,
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"snapshot_date": snapshot_date.isoformat(),
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"records": records,
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}
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def default_output_dir(self) -> Path:
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return Path(settings.STATIC_DATASET_INCOMING_DIR)
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def snapshot_filename(self, snapshot_date: date) -> str:
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return f"{self.extractor_name}-{snapshot_date.isoformat()}.json"
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def emit_snapshot(
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self,
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snapshot: dict[str, Any],
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*,
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output_path: str | Path | None = None,
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indent: int = 2,
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) -> Path:
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if output_path is None:
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destination = self.default_output_dir()
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destination.mkdir(parents=True, exist_ok=True)
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file_path = destination / self.snapshot_filename(date.fromisoformat(snapshot["snapshot_date"]))
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else:
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target = Path(output_path)
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if target.suffix.lower() == ".json":
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target.parent.mkdir(parents=True, exist_ok=True)
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file_path = target
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else:
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target.mkdir(parents=True, exist_ok=True)
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file_path = target / self.snapshot_filename(date.fromisoformat(snapshot["snapshot_date"]))
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file_path.write_text(json.dumps(snapshot, indent=indent, ensure_ascii=True), encoding="utf-8")
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return file_path
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def run(
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self,
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*,
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output_path: str | Path | None = None,
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snapshot_date: date | None = None,
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write_output: bool = True,
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indent: int = 2,
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) -> ExtractionResult:
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payload = self.fetch()
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source_rows = self.parse(payload)
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normalized_rows = self.normalize_records(source_rows)
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resolved_snapshot_date = snapshot_date or self.resolve_snapshot_date()
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snapshot = self.build_snapshot(normalized_rows, resolved_snapshot_date)
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validated = SnapshotSchemaValidator.validate(snapshot)
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snapshot["records"] = validated.records
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output_file: Path | None = None
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if write_output:
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output_file = self.emit_snapshot(snapshot, output_path=output_path, indent=indent)
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logger.info(
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"extractor_snapshot_written extractor=%s source=%s records=%s path=%s",
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self.extractor_name,
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validated.source_name,
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len(validated.records),
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output_file,
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)
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else:
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logger.info(
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"extractor_snapshot_validated extractor=%s source=%s records=%s write_output=0",
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self.extractor_name,
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validated.source_name,
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len(validated.records),
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)
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return ExtractionResult(
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extractor_name=self.extractor_name,
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source_name=validated.source_name,
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snapshot_date=validated.snapshot_date,
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records_count=len(validated.records),
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output_path=output_file,
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)
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109
apps/ingestion/extractors/http.py
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109
apps/ingestion/extractors/http.py
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from __future__ import annotations
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import logging
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import time
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from typing import Any
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import requests
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from .base import ExtractorFetchError
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logger = logging.getLogger(__name__)
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class ResponsibleHttpClient:
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"""
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Small HTTP helper for public-source extraction:
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- explicit User-Agent
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- request timeout
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- conservative retries
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- low-frequency pacing (fixed delay between requests)
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"""
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RETRYABLE_STATUS_CODES = {429, 500, 502, 503, 504}
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def __init__(
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self,
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*,
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user_agent: str,
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timeout_seconds: float,
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retries: int,
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retry_sleep_seconds: float,
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request_delay_seconds: float,
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session: requests.Session | None = None,
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):
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self.user_agent = user_agent
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self.timeout_seconds = timeout_seconds
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self.retries = retries
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self.retry_sleep_seconds = retry_sleep_seconds
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self.request_delay_seconds = request_delay_seconds
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self.session = session or requests.Session()
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self._last_request_at: float | None = None
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def _pace(self) -> None:
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if self.request_delay_seconds <= 0:
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return
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now = time.monotonic()
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if self._last_request_at is None:
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self._last_request_at = now
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return
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elapsed = now - self._last_request_at
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remaining = self.request_delay_seconds - elapsed
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if remaining > 0:
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time.sleep(remaining)
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self._last_request_at = time.monotonic()
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def get_json(
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self,
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url: str,
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*,
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params: dict[str, Any] | None = None,
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headers: dict[str, str] | None = None,
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) -> Any:
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merged_headers = {"User-Agent": self.user_agent}
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if headers:
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merged_headers.update(headers)
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attempts = self.retries + 1
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for attempt in range(1, attempts + 1):
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try:
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self._pace()
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response = self.session.get(
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url,
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params=params,
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headers=merged_headers,
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timeout=self.timeout_seconds,
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)
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if response.status_code in self.RETRYABLE_STATUS_CODES:
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if attempt < attempts:
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logger.warning(
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"extractor_http_retryable_status status=%s url=%s attempt=%s/%s",
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response.status_code,
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url,
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attempt,
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attempts,
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)
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time.sleep(self.retry_sleep_seconds)
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continue
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raise ExtractorFetchError(
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f"Retryable status exhausted: status={response.status_code} url={url}"
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)
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response.raise_for_status()
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return response.json()
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except requests.RequestException as exc:
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if attempt < attempts:
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logger.warning(
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"extractor_http_request_retry error=%s url=%s attempt=%s/%s",
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exc,
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url,
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attempt,
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attempts,
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)
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time.sleep(self.retry_sleep_seconds)
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continue
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raise ExtractorFetchError(f"Request failed after retries: {exc}") from exc
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except ValueError as exc:
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raise ExtractorFetchError(f"Invalid JSON response from {url}: {exc}") from exc
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raise ExtractorFetchError(f"Unexpected retry loop exit for {url}")
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130
apps/ingestion/extractors/public_json.py
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130
apps/ingestion/extractors/public_json.py
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@ -0,0 +1,130 @@
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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 (
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BaseSnapshotExtractor,
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ExtractorConfigError,
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ExtractorNormalizationError,
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ExtractorParseError,
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)
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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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if key in record and record[key] not in (None, ""):
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return record[key]
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return None
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class PublicJsonSnapshotExtractor(BaseSnapshotExtractor):
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"""
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Generic public JSON extractor for MVP v2.
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This extractor is intentionally generic and lightweight:
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- fetch from one public JSON endpoint
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- parse list-like payloads
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- normalize into HoopScout snapshot schema
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"""
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extractor_name = "public_json_snapshot"
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def __init__(
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self,
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*,
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url: str | None = None,
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source_name: str | None = None,
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include_raw_payload: bool | None = None,
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http_client: ResponsibleHttpClient | None = None,
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):
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self.url = (url or settings.EXTRACTOR_PUBLIC_JSON_URL).strip()
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self.source_name = (source_name or settings.EXTRACTOR_PUBLIC_SOURCE_NAME).strip()
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self.include_raw_payload = (
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settings.EXTRACTOR_INCLUDE_RAW_PAYLOAD if include_raw_payload is None else include_raw_payload
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)
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if not self.url:
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raise ExtractorConfigError("EXTRACTOR_PUBLIC_JSON_URL is required for public_json_snapshot extractor.")
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if not self.source_name:
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raise ExtractorConfigError("EXTRACTOR_PUBLIC_SOURCE_NAME must not be empty.")
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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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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("Fetched payload must be a JSON object or array.")
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rows = payload.get("records")
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if isinstance(rows, list):
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return rows
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data_rows = payload.get("data")
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if isinstance(data_rows, list):
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return data_rows
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raise ExtractorParseError("Payload must contain 'records' or 'data' list.")
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def normalize_record(self, source_record: dict[str, Any]) -> dict[str, Any]:
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normalized = {
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"competition_external_id": _first_non_empty(
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source_record, "competition_external_id", "competition_id", "league_id"
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),
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"competition_name": _first_non_empty(
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source_record, "competition_name", "competition", "league_name"
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),
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"season": _first_non_empty(source_record, "season", "season_label", "season_name"),
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"team_external_id": _first_non_empty(source_record, "team_external_id", "team_id"),
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"team_name": _first_non_empty(source_record, "team_name", "team"),
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"player_external_id": _first_non_empty(source_record, "player_external_id", "player_id"),
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"full_name": _first_non_empty(source_record, "full_name", "player_name", "name"),
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"first_name": _first_non_empty(source_record, "first_name"),
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"last_name": _first_non_empty(source_record, "last_name"),
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"birth_date": _first_non_empty(source_record, "birth_date"),
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"nationality": _first_non_empty(source_record, "nationality", "nationality_code"),
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"height_cm": _first_non_empty(source_record, "height_cm"),
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"weight_kg": _first_non_empty(source_record, "weight_kg"),
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"position": _first_non_empty(source_record, "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"),
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"three_pt_pct": _first_non_empty(
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source_record, "three_pt_pct", "three_point_pct", "three_pct", "3p_pct"
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),
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"ft_pct": _first_non_empty(source_record, "ft_pct"),
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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(
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f"public_json_snapshot row missing required fields: {', '.join(sorted(missing))}"
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)
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normalized["season"] = str(normalized["season"]).strip()
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normalized["competition_external_id"] = str(normalized["competition_external_id"]).strip()
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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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if self.include_raw_payload:
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normalized["raw_payload"] = source_record
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return normalized
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22
apps/ingestion/extractors/registry.py
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22
apps/ingestion/extractors/registry.py
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@ -0,0 +1,22 @@
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from __future__ import annotations
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from .base import BaseSnapshotExtractor, ExtractorConfigError
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from .public_json import PublicJsonSnapshotExtractor
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EXTRACTOR_REGISTRY: dict[str, type[BaseSnapshotExtractor]] = {
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PublicJsonSnapshotExtractor.extractor_name: PublicJsonSnapshotExtractor,
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}
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def available_extractors() -> list[str]:
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return sorted(EXTRACTOR_REGISTRY.keys())
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def create_extractor(extractor_name: str) -> BaseSnapshotExtractor:
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try:
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extractor_cls = EXTRACTOR_REGISTRY[extractor_name]
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except KeyError as exc:
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raise ExtractorConfigError(
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f"Unknown extractor '{extractor_name}'. Available: {', '.join(available_extractors())}"
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) from exc
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return extractor_cls()
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