8bf7900324
Add wildlife_bp with sightings, stats, frequency, and CSV export endpoints; Bootstrap 5 dark journal template with live-updating summary cards, species bars, time-of-day frequency chart, and paginated/filterable sightings table. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
50 lines
1.8 KiB
Python
50 lines
1.8 KiB
Python
import pytest
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from vigilar.config import VigilarConfig
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from vigilar.storage.queries import insert_wildlife_sighting
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from vigilar.web.app import create_app
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@pytest.fixture
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def wildlife_app(test_db):
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cfg = VigilarConfig()
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app = create_app(cfg)
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app.config["TESTING"] = True
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app.config["DB_ENGINE"] = test_db
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for i in range(3):
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insert_wildlife_sighting(test_db, species="deer", threat_level="PASSIVE",
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camera_id="front", confidence=0.9)
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insert_wildlife_sighting(test_db, species="bear", threat_level="PREDATOR",
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camera_id="back", confidence=0.95)
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return app
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def test_wildlife_sightings_api(wildlife_app):
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with wildlife_app.test_client() as c:
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rv = c.get("/wildlife/api/sightings")
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assert rv.status_code == 200
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assert len(rv.get_json()["sightings"]) == 4
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def test_wildlife_sightings_filter_species(wildlife_app):
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with wildlife_app.test_client() as c:
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rv = c.get("/wildlife/api/sightings?species=bear")
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assert len(rv.get_json()["sightings"]) == 1
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def test_wildlife_stats_api(wildlife_app):
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with wildlife_app.test_client() as c:
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rv = c.get("/wildlife/api/stats")
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data = rv.get_json()
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assert data["total"] == 4
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assert data["per_species"]["deer"] == 3
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def test_wildlife_frequency_api(wildlife_app):
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with wildlife_app.test_client() as c:
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rv = c.get("/wildlife/api/frequency")
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assert rv.status_code == 200
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assert len(rv.get_json()) == 6
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def test_wildlife_export_csv(wildlife_app):
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with wildlife_app.test_client() as c:
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rv = c.get("/wildlife/api/export")
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assert rv.status_code == 200
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assert "text/csv" in rv.content_type
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lines = rv.data.decode().strip().split("\n")
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assert len(lines) == 5 # header + 4 rows
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