Add TIR bar/threshold lines, Dagoverzicht charts, and hypo/hyper Level-1 charts to PDF export

Closes gitea #14 (PDF part), #15 (PDF part), #16, #17, #18.

tests/test_pdf_export.py

@@ -2,7 +2,14 @@ from datetime import date
 
 import pandas as pd
 
-from pdf_export import SECTION_AGP, SECTION_EVENTS, SECTION_SUMMARY, build_report_pdf
+from pdf_export import (
+    DAGOVERZICHT_MAX_DAYS,
+    SECTION_AGP,
+    SECTION_DAGOVERZICHT,
+    SECTION_EVENTS,
+    SECTION_SUMMARY,
+    build_report_pdf,
+)
 
 
 def _sample_glucose():
@@ -10,6 +17,15 @@ def _sample_glucose():
     return pd.DataFrame({"timestamp": timestamps, "mmol": [6.0 + (i % 5) for i in range(48)]})
 
 
+def _glucose_with_hypo_and_hyper_events():
+    """3 dagen data met een echte hypo- (<3.9, >=15 min) en hyperepisode (>10.0)."""
+    timestamps = pd.date_range("2026-01-01", periods=3 * 24 * 12, freq="5min")
+    values = [7.0] * len(timestamps)
+    values[10:15] = [3.0] * 5  # 25 min hypo
+    values[100:106] = [12.0] * 6  # 30 min hyper
+    return pd.DataFrame({"timestamp": timestamps, "mmol": values})
+
+
 def test_build_report_pdf_produces_valid_pdf_bytes():
     glucose = _sample_glucose()
     events_summary = {
@@ -39,3 +55,38 @@ 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")
+
+
+def test_build_report_pdf_includes_dagoverzicht_section():
+    glucose = _sample_glucose()
+    pdf_bytes = build_report_pdf(
+        [SECTION_DAGOVERZICHT], glucose, {}, date(2026, 1, 1), date(2026, 1, 2)
+    )
+    assert pdf_bytes.startswith(b"%PDF")
+    assert len(pdf_bytes) > 500
+
+
+def test_build_report_pdf_caps_dagoverzicht_at_max_days():
+    timestamps = pd.date_range("2026-01-01", periods=(DAGOVERZICHT_MAX_DAYS + 10) * 24, freq="1h")
+    glucose = pd.DataFrame({"timestamp": timestamps, "mmol": [7.0] * len(timestamps)})
+    pdf_bytes = build_report_pdf(
+        [SECTION_DAGOVERZICHT],
+        glucose,
+        {},
+        timestamps[0].date(),
+        timestamps[-1].date(),
+    )
+    assert pdf_bytes.startswith(b"%PDF")
+
+
+def test_build_report_pdf_draws_hypo_and_hyper_charts_when_events_present():
+    glucose = _glucose_with_hypo_and_hyper_events()
+    events_summary = {
+        "Hypo Level 1": {"count": 1, "avg_duration_minutes": 25.0, "events_per_week": 2.3},
+        "Hyper Level 1": {"count": 1, "avg_duration_minutes": 30.0, "events_per_week": 2.3},
+    }
+    pdf_bytes = build_report_pdf(
+        [SECTION_EVENTS], glucose, events_summary, date(2026, 1, 1), date(2026, 1, 4)
+    )
+    assert pdf_bytes.startswith(b"%PDF")
+    assert len(pdf_bytes) > 500