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| import json | |
| from datetime import datetime, timedelta | |
| from pathlib import Path | |
| import pytest | |
| from app import cycle_day_estimate, parse_iso_date, split_legacy_knowledge | |
| def test_parse_iso_date_accepts_today(): | |
| today = datetime.now().astimezone().date() | |
| assert parse_iso_date(today.isoformat()) == today | |
| def test_parse_iso_date_rejects_future_date(): | |
| today = datetime.now().astimezone().date() | |
| future = (today + timedelta(days=1)).isoformat() | |
| with pytest.raises(ValueError, match="future"): | |
| parse_iso_date(future) | |
| def test_cycle_estimate_is_transparent(): | |
| today = datetime.now().astimezone().date() | |
| day, explanation = cycle_day_estimate(today.isoformat(), 28) | |
| assert day == 1 | |
| assert "cannot confirm hormonal phase or ovulation" in explanation | |
| def test_legacy_splitter_retains_stable_ids(): | |
| text = ( | |
| "A sufficiently long first paragraph that should become a source chunk.\n\n" | |
| "A sufficiently long second paragraph that should become another chunk." | |
| ) | |
| chunks = split_legacy_knowledge(text) | |
| assert [chunk.source_id for chunk in chunks] == ["legacy-001", "legacy-002"] | |
| def test_active_sources_are_traceable(): | |
| source_path = Path(__file__).parents[1] / "knowledge" / "sources.json" | |
| records = json.loads(source_path.read_text(encoding="utf-8")) | |
| assert len(records) >= 5 | |
| assert len({record["source_id"] for record in records}) == len(records) | |
| for record in records: | |
| assert record["url"].startswith("https://") | |
| assert record["reviewed_at"] | |
| assert len(record["text"]) >= 100 | |