add PDF export (FR10)

pdf_export.py builds a PDF report (summary stats, AGP chart, hypo/hyper event summaries) via fpdf2 + matplotlib rather than plotly's kaleido, to avoid bundling a Chromium build into the image just for this. The Export page lets the user pick which sections to include and a date range, then download the result to send to the hospital team. This completes all ten functional requirements in docs/requirements-reporting.md. Co-Authored-By: Claude Sonnet 5 <[email protected]>
2026-07-26 21:10:46 +02:00
parent 9929f44daa
commit fe6a471f17
4 changed files with 229 additions and 0 deletions
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+from datetime import date
+
+import pandas as pd
+
+from pdf_export import SECTION_AGP, SECTION_EVENTS, SECTION_SUMMARY, build_report_pdf
+
+
+def _sample_glucose():
+    timestamps = pd.date_range("2026-01-01", periods=48, freq="30min")
+    return pd.DataFrame({"timestamp": timestamps, "mmol": [6.0 + (i % 5) for i in range(48)]})
+
+
+def test_build_report_pdf_produces_valid_pdf_bytes():
+    glucose = _sample_glucose()
+    events_summary = {
+        "Hypo Level 1": {"count": 2, "avg_duration_minutes": 20.0, "events_per_week": 1.0},
+    }
+    pdf_bytes = build_report_pdf(
+        [SECTION_SUMMARY, SECTION_AGP, SECTION_EVENTS],
+        glucose,
+        events_summary,
+        date(2026, 1, 1),
+        date(2026, 1, 2),
+    )
+    assert isinstance(pdf_bytes, bytes)
+    assert pdf_bytes.startswith(b"%PDF")
+    assert len(pdf_bytes) > 500
+
+
+def test_build_report_pdf_handles_empty_glucose():
+    empty = pd.DataFrame(columns=["timestamp", "mmol"])
+    pdf_bytes = build_report_pdf(
+        [SECTION_SUMMARY, SECTION_AGP], empty, {}, date(2026, 1, 1), date(2026, 1, 2)
+    )
+    assert pdf_bytes.startswith(b"%PDF")
+
+
+def test_build_report_pdf_handles_no_sections_selected():
+    glucose = _sample_glucose()
+    pdf_bytes = build_report_pdf([], glucose, {}, date(2026, 1, 1), date(2026, 1, 2))
+    assert pdf_bytes.startswith(b"%PDF")