Files
SportstimeAPI/sportstime_parser/tests/test_scrapers/test_mlb.py
Trey t 52d445bca4 feat(scripts): add sportstime-parser data pipeline
Complete Python package for scraping, normalizing, and uploading
sports schedule data to CloudKit. Includes:

- Multi-source scrapers for NBA, MLB, NFL, NHL, MLS, WNBA, NWSL
- Canonical ID system for teams, stadiums, and games
- Fuzzy matching with manual alias support
- CloudKit uploader with batch operations and deduplication
- Comprehensive test suite with fixtures
- WNBA abbreviation aliases for improved team resolution
- Alias validation script to detect orphan references

All 5 phases of data remediation plan completed:
- Phase 1: Alias fixes (team/stadium alias additions)
- Phase 2: NHL stadium coordinate fixes
- Phase 3: Re-scrape validation
- Phase 4: iOS bundle update
- Phase 5: Code quality improvements (WNBA aliases)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-20 18:56:25 -06:00

258 lines
8.4 KiB
Python

"""Tests for MLB scraper."""
from datetime import datetime
from unittest.mock import patch
import pytest
from sportstime_parser.scrapers.mlb import MLBScraper, create_mlb_scraper
from sportstime_parser.scrapers.base import RawGameData
from sportstime_parser.tests.fixtures import (
load_json_fixture,
MLB_ESPN_SCOREBOARD_JSON,
)
class TestMLBScraperInit:
"""Test MLBScraper initialization."""
def test_creates_scraper_with_season(self):
"""Test scraper initializes with correct season."""
scraper = MLBScraper(season=2026)
assert scraper.sport == "mlb"
assert scraper.season == 2026
def test_factory_function_creates_scraper(self):
"""Test factory function creates correct scraper."""
scraper = create_mlb_scraper(season=2026)
assert isinstance(scraper, MLBScraper)
assert scraper.season == 2026
def test_expected_game_count(self):
"""Test expected game count is correct for MLB."""
scraper = MLBScraper(season=2026)
assert scraper.expected_game_count == 2430
def test_sources_in_priority_order(self):
"""Test sources are returned in correct priority order."""
scraper = MLBScraper(season=2026)
sources = scraper._get_sources()
assert sources == ["baseball_reference", "mlb_api", "espn"]
class TestESPNParsing:
"""Test ESPN API response parsing."""
def test_parses_completed_games(self):
"""Test parsing completed games from ESPN."""
scraper = MLBScraper(season=2026)
data = load_json_fixture(MLB_ESPN_SCOREBOARD_JSON)
games = scraper._parse_espn_response(data, "http://espn.com/api")
completed = [g for g in games if g.status == "final"]
assert len(completed) == 2
# Yankees @ Red Sox
nyy_bos = next(g for g in completed if g.away_team_raw == "New York Yankees")
assert nyy_bos.home_team_raw == "Boston Red Sox"
assert nyy_bos.away_score == 3
assert nyy_bos.home_score == 5
assert nyy_bos.stadium_raw == "Fenway Park"
def test_parses_scheduled_games(self):
"""Test parsing scheduled games from ESPN."""
scraper = MLBScraper(season=2026)
data = load_json_fixture(MLB_ESPN_SCOREBOARD_JSON)
games = scraper._parse_espn_response(data, "http://espn.com/api")
scheduled = [g for g in games if g.status == "scheduled"]
assert len(scheduled) == 1
lad_sf = scheduled[0]
assert lad_sf.away_team_raw == "Los Angeles Dodgers"
assert lad_sf.home_team_raw == "San Francisco Giants"
assert lad_sf.stadium_raw == "Oracle Park"
def test_parses_venue_info(self):
"""Test venue information is extracted."""
scraper = MLBScraper(season=2026)
data = load_json_fixture(MLB_ESPN_SCOREBOARD_JSON)
games = scraper._parse_espn_response(data, "http://espn.com/api")
for game in games:
assert game.stadium_raw is not None
class TestGameNormalization:
"""Test game normalization and canonical ID generation."""
def test_normalizes_games_with_canonical_ids(self):
"""Test games are normalized with correct canonical IDs."""
scraper = MLBScraper(season=2026)
raw_games = [
RawGameData(
game_date=datetime(2026, 4, 15),
home_team_raw="Boston Red Sox",
away_team_raw="New York Yankees",
stadium_raw="Fenway Park",
home_score=5,
away_score=3,
status="final",
source_url="http://example.com",
)
]
games, review_items = scraper._normalize_games(raw_games)
assert len(games) == 1
game = games[0]
# Check canonical ID format
assert game.id == "mlb_2026_nyy_bos_0415"
assert game.sport == "mlb"
assert game.season == 2026
# Check team IDs
assert game.home_team_id == "team_mlb_bos"
assert game.away_team_id == "team_mlb_nyy"
# Check scores preserved
assert game.home_score == 5
assert game.away_score == 3
def test_creates_review_items_for_unresolved_teams(self):
"""Test review items are created for unresolved teams."""
scraper = MLBScraper(season=2026)
raw_games = [
RawGameData(
game_date=datetime(2026, 4, 15),
home_team_raw="Unknown Team XYZ",
away_team_raw="Boston Red Sox",
stadium_raw="Fenway Park",
status="scheduled",
),
]
games, review_items = scraper._normalize_games(raw_games)
# Game should not be created due to unresolved team
assert len(games) == 0
# But there should be a review item
assert len(review_items) >= 1
class TestTeamAndStadiumScraping:
"""Test team and stadium data scraping."""
def test_scrapes_all_mlb_teams(self):
"""Test all 30 MLB teams are returned."""
scraper = MLBScraper(season=2026)
teams = scraper.scrape_teams()
# 30 MLB teams
assert len(teams) == 30
# Check team IDs are unique
team_ids = [t.id for t in teams]
assert len(set(team_ids)) == 30
# Check all teams have required fields
for team in teams:
assert team.id.startswith("team_mlb_")
assert team.sport == "mlb"
assert team.city
assert team.name
assert team.full_name
assert team.abbreviation
def test_teams_have_leagues_and_divisions(self):
"""Test teams have league (conference) and division info."""
scraper = MLBScraper(season=2026)
teams = scraper.scrape_teams()
# Count teams by league
al = [t for t in teams if t.conference == "American"]
nl = [t for t in teams if t.conference == "National"]
assert len(al) == 15
assert len(nl) == 15
def test_scrapes_all_mlb_stadiums(self):
"""Test all MLB stadiums are returned."""
scraper = MLBScraper(season=2026)
stadiums = scraper.scrape_stadiums()
# Should have stadiums for all teams
assert len(stadiums) == 30
# Check stadium IDs are unique
stadium_ids = [s.id for s in stadiums]
assert len(set(stadium_ids)) == 30
# Check all stadiums have required fields
for stadium in stadiums:
assert stadium.id.startswith("stadium_mlb_")
assert stadium.sport == "mlb"
assert stadium.name
assert stadium.city
assert stadium.state
assert stadium.country in ["USA", "Canada"]
assert stadium.latitude != 0
assert stadium.longitude != 0
class TestScrapeFallback:
"""Test multi-source fallback behavior."""
def test_falls_back_to_next_source_on_failure(self):
"""Test scraper tries next source when first fails."""
scraper = MLBScraper(season=2026)
with patch.object(scraper, '_scrape_baseball_reference') as mock_br, \
patch.object(scraper, '_scrape_mlb_api') as mock_mlb, \
patch.object(scraper, '_scrape_espn') as mock_espn:
# Make BR and MLB API fail
mock_br.side_effect = Exception("Connection failed")
mock_mlb.side_effect = Exception("API error")
# Make ESPN return data
mock_espn.return_value = [
RawGameData(
game_date=datetime(2026, 4, 15),
home_team_raw="Boston Red Sox",
away_team_raw="New York Yankees",
stadium_raw="Fenway Park",
status="scheduled",
)
]
result = scraper.scrape_games()
assert result.success
assert result.source == "espn"
assert mock_br.called
assert mock_mlb.called
assert mock_espn.called
class TestSeasonMonths:
"""Test season month calculation."""
def test_gets_correct_season_months(self):
"""Test correct months are returned for MLB season."""
scraper = MLBScraper(season=2026)
months = scraper._get_season_months()
# MLB season is March-November
assert len(months) == 9 # Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov
# Check first month is March of season year
assert months[0] == (2026, 3)
# Check last month is November
assert months[-1] == (2026, 11)