79 lines
2.9 KiB
Python
79 lines
2.9 KiB
Python
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"""Unit tests for the NASA FIRMS CSV parser / timestamp normalization."""
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import asyncio
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from datetime import datetime, timezone
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from fire_sources import normalize_acq_time, parse_firms_csv, ingest_fires
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# Grounded against real FIRMS VIIRS area-CSV output.
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SAMPLE_CSV = """latitude,longitude,bright_ti4,scan,track,acq_date,acq_time,satellite,instrument,confidence,version,bright_ti5,frp,daynight
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-16.28359,29.40531,295.78,0.50,0.66,2025-06-06,1,N20,VIIRS,n,2.0NRT,284.11,1.17,N
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-16.28190,29.40279,303.31,0.50,0.66,2025-06-06,1,N20,VIIRS,n,2.0NRT,284.43,0.67,N
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-14.98900,28.36286,341.04,0.41,0.60,2025-06-06,1,N20,VIIRS,n,2.0NRT,279.77,4.59,N
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15.17397,-11.28343,341.40,0.45,0.47,2025-06-06,1425,N20,VIIRS,l,2.0NRT,315.18,7.91,D
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15.45870,-11.13616,339.25,0.46,0.47,2025-06-06,1425,N20,VIIRS,l,2.0NRT,312.05,9.24,D
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"""
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def test_normalize_acq_time_single_digit_hour():
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# acq_time "1" (HHMM int) -> 00:01 UTC
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dt = normalize_acq_time("2025-06-06", "1")
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assert dt == datetime(2025, 6, 6, 0, 1, tzinfo=timezone.utc)
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def test_normalize_acq_time_four_digit():
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dt = normalize_acq_time("2025-06-06", 1425)
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assert dt == datetime(2025, 6, 6, 14, 25, tzinfo=timezone.utc)
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def test_normalize_acq_time_bad_values():
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assert normalize_acq_time(None, 100) is None
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assert normalize_acq_time("2025-06-06", None) is None
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assert normalize_acq_time("2025-06-06", "") is None
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assert normalize_acq_time("not-a-date", 100) is None
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def test_parse_firms_csv_happy_path():
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points = parse_firms_csv(SAMPLE_CSV)
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assert len(points) == 5
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first = points[0]
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assert first["latitude"] == -16.28359
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assert first["longitude"] == 29.40531
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assert first["brightness"] == 295.78
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assert first["confidence"] == "n"
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assert first["satellite"] == "N20"
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assert first["instrument"] == "VIIRS"
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assert first["frp"] == 1.17
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assert first["daynight"] == "N"
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assert first["acq_time"] == "2025-06-06T00:01:00+00:00"
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# late-day acquisition (acq_time 1425) parses to 14:25 UTC
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assert points[3]["acq_time"] == "2025-06-06T14:25:00+00:00"
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assert points[3]["confidence"] == "l"
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def test_parse_firms_csv_skips_legend_line():
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# FIRMS occasionally prepends a legend/info line before the real header.
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with_legend = (
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"Active Fire Data from VIIRS (S-NPP) — near real time\n"
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+ SAMPLE_CSV
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)
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points = parse_firms_csv(with_legend)
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assert len(points) == 5
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assert points[0]["latitude"] == -16.28359
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def test_parse_firms_csv_empty_and_garbage():
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assert parse_firms_csv("") == []
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assert parse_firms_csv("not a csv at all\njust text\n") == []
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# Header present but a data row that is too short / has junk lat-lon
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junk = SAMPLE_CSV.splitlines()[0] + "\n1,2\n"
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assert parse_firms_csv(junk) == []
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def test_ingest_fires_idles_without_map_key(monkeypatch):
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# No key -> returns 0 without attempting a network call.
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monkeypatch.setattr("fire_sources.FIRMS_MAP_KEY", "")
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assert asyncio.run(ingest_fires()) == 0
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