8d22c97320
Backend (103 tests): - Unit tests for listing_service, export_service, district_service - Regression tests for API response contracts and query parameter validation - Integration tests for API workflows, Redis listing cache, listing processor pipeline, and repository advanced queries - E2E tests for streaming with filters, batching, caching, and task management Frontend (116 tests): - Service tests for apiClient, streamingService, taskService, listingService, healthService - Hook tests for useTaskProgress (WebSocket + polling) - Component tests for PropertyCard, FilterPanel, Header, ListView, TaskProgressDrawer, TaskIndicator, StreamingProgressBar, HealthIndicator - E2E tests for filter-stream-display flow Infrastructure: - Add pytest-xdist and test markers (regression, integration, e2e) - Add conftest fixtures: fake_redis, rent_listing_factory, seeded_repository - Add vitest + testing-library + MSW for frontend testing
132 lines
3.3 KiB
Python
132 lines
3.3 KiB
Python
"""Integration tests for Redis-based listing cache."""
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import pytest
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from models.listing import ListingType, QueryParameters
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from services.listing_cache import (
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begin_cache_population,
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cache_features_batch,
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cache_features_batch_staged,
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delete_staging_key,
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finalize_cache_population,
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get_cached_count,
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get_cached_features,
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invalidate_cache,
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make_cache_key,
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)
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@pytest.fixture(autouse=True)
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def patch_redis(fake_redis, monkeypatch: pytest.MonkeyPatch) -> None:
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"""Route all cache operations through fakeredis."""
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monkeypatch.setattr("services.listing_cache._get_redis_client", lambda: fake_redis)
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def _make_qp(**kwargs) -> QueryParameters:
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return QueryParameters(listing_type=ListingType.RENT, **kwargs)
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def _sample_features(n: int) -> list[dict]:
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return [{"type": "Feature", "id": i, "properties": {"price": 1000 + i}} for i in range(n)]
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# ---------- Basic read/write ----------
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def test_cache_miss_returns_none() -> None:
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qp = _make_qp()
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assert get_cached_count(qp) is None
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def test_cache_write_then_read() -> None:
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qp = _make_qp()
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features = _sample_features(5)
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cache_features_batch(qp, features)
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count = get_cached_count(qp)
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assert count == 5
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def test_batch_retrieval() -> None:
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qp = _make_qp()
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cache_features_batch(qp, _sample_features(10))
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batches = list(get_cached_features(qp, batch_size=3))
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sizes = [len(b) for b in batches]
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assert sizes == [3, 3, 3, 1]
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# ---------- Cache key behaviour ----------
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def test_cache_key_deterministic() -> None:
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qp1 = _make_qp()
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qp2 = _make_qp()
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assert make_cache_key(qp1) == make_cache_key(qp2)
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def test_cache_key_different_for_different_params() -> None:
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rent = _make_qp()
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buy = QueryParameters(listing_type=ListingType.BUY)
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assert make_cache_key(rent) != make_cache_key(buy)
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# ---------- Staged population ----------
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def test_staged_population_begin() -> None:
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qp = _make_qp()
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staging_key = begin_cache_population(qp)
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assert isinstance(staging_key, str)
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assert "staging" in staging_key
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def test_staged_write_then_finalize() -> None:
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qp = _make_qp()
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staging_key = begin_cache_population(qp)
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cache_features_batch_staged(staging_key, _sample_features(4))
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finalize_cache_population(staging_key, qp)
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assert get_cached_count(qp) == 4
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def test_staging_key_deleted_on_cleanup(fake_redis) -> None:
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qp = _make_qp()
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staging_key = begin_cache_population(qp)
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cache_features_batch_staged(staging_key, _sample_features(2))
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delete_staging_key(staging_key)
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assert fake_redis.exists(staging_key) == 0
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# ---------- Invalidation ----------
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def test_invalidation() -> None:
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qp = _make_qp()
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cache_features_batch(qp, _sample_features(5))
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assert get_cached_count(qp) == 5
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invalidate_cache()
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assert get_cached_count(qp) is None
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# ---------- Edge cases ----------
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def test_empty_features_batch_noop() -> None:
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qp = _make_qp()
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cache_features_batch(qp, [])
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assert get_cached_count(qp) is None
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def test_multiple_batches_accumulate() -> None:
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qp = _make_qp()
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cache_features_batch(qp, _sample_features(3))
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cache_features_batch(qp, _sample_features(4))
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assert get_cached_count(qp) == 7
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def test_get_cached_features_empty() -> None:
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qp = _make_qp()
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batches = list(get_cached_features(qp))
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assert batches == []
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