Initial commit: MISF VOB download and upload automation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tests/test_download_summary.py

@@ -0,0 +1,105 @@
+"""Tests for download summary Excel columns."""
+from __future__ import annotations
+
+from pathlib import Path
+
+import pandas as pd
+
+from planner_download import (
+    _build_workable_files,
+    _format_status_changed,
+    _success_status,
+    _write_download_summary,
+)
+
+
+def test_success_status_labels():
+    assert _success_status(0, 0) == "No tasks"
+    assert _success_status(0, 3, tasks_skipped_no_attachment=3) == "No attachments"
+    assert _success_status(1, 3, tasks_with_downloads=1, tasks_with_attachments=1) == "Success"
+    assert _success_status(2, 4, tasks_with_downloads=2, tasks_with_attachments=2) == "Success"
+    assert _success_status(1, 4, tasks_with_downloads=1, tasks_with_attachments=2) == "Partial"
+    assert _success_status(0, 2, tasks_with_attachments=2) == "Download failed"
+
+
+def test_format_status_changed():
+    assert _format_status_changed(0, 0) == "N/A"
+    assert _format_status_changed(2, 2, via_task_details=2) == "Yes - 2/2 tasks (2 via task details)"
+    assert _format_status_changed(3, 1, via_task_details=1) == "Partial - 1/3 tasks (1 via task details)"
+    assert _format_status_changed(1, 0) == "No - 0/1 tasks"
+    assert _format_status_changed(2, 1, via_task_details=1) == "Partial - 1/2 tasks (1 via task details)"
+
+
+def test_write_download_summary_columns(tmp_path: Path, monkeypatch):
+    monkeypatch.setattr("planner_download.PROJECT_ROOT", tmp_path)
+    results = {
+        "Alpha": {
+            "original": [tmp_path / "a.pdf", tmp_path / "b.pdf"],
+            "tasks_total": 4,
+            "tasks_with_attachments": 2,
+            "tasks_skipped_no_attachment": 2,
+            "tasks_with_downloads": 2,
+            "status_changed": 1,
+            "status_via_task_details": 1,
+        },
+        "Beta": {
+            "original": [],
+            "tasks_total": 2,
+            "tasks_with_attachments": 0,
+            "tasks_skipped_no_attachment": 2,
+            "tasks_with_downloads": 0,
+            "status_changed": 0,
+            "status_via_task_details": 0,
+        },
+    }
+    failures = [("Gamma", "not found", "Plan not found")]
+    summary_path = tmp_path / "Summary" / "Download_Summary_2026-06-05.xlsx"
+    _write_download_summary(
+        results,
+        failures,
+        summary_path,
+        planner_url="https://example.com",
+        run_timestamp="2026-06-05 12:00:00",
+    )
+    df = pd.read_excel(summary_path, keep_default_na=False)
+    assert list(df.columns) == [
+        "Run Timestamp",
+        "Facility Name",
+        "Files Downloaded",
+        "Status",
+        "Status Changed",
+    ]
+    alpha = df[df["Facility Name"] == "Alpha"].iloc[0]
+    assert alpha["Status"] == "Success"
+    assert "1/2 tasks" in alpha["Status Changed"]
+    assert "via task details" in alpha["Status Changed"]
+    beta = df[df["Facility Name"] == "Beta"].iloc[0]
+    assert beta["Status"] == "No attachments"
+    assert beta["Status Changed"] == "N/A"
+    gamma = df[df["Facility Name"] == "Gamma"].iloc[0]
+    assert gamma["Status"] == "Plan not found"
+    assert gamma["Status Changed"] == "N/A"
+
+
+def test_build_workable_files_mirrors_to_medicare(tmp_path: Path):
+    src_dir = tmp_path / "original" / "FacA"
+    src_dir.mkdir(parents=True)
+    pdf = src_dir / "doc.pdf"
+    pdf.write_bytes(b"%PDF-1.4")
+
+    paths, workable_root = _build_workable_files(
+        facility_name="Fac A",
+        downloaded=[pdf],
+        output_root=tmp_path / "Output",
+        today_iso="2026-06-16",
+    )
+    medicare_root = tmp_path / "Output" / "2026-06-16" / "Workable_Medicare"
+
+    assert len(paths) == 1
+    assert paths[0].parent == workable_root
+    assert paths[0].is_file()
+    assert medicare_root.is_dir()
+    medicare_files = list(medicare_root.glob("*.pdf"))
+    assert len(medicare_files) == 1
+    assert medicare_files[0].name == paths[0].name
+    assert medicare_files[0].read_bytes() == pdf.read_bytes()