feat: set up modularized version of project with testing

src/timesheets/output.py

@@ -0,0 +1,54 @@
+import csv
+import sys
+from collections import OrderedDict
+from typing import IO
+
+from .projects import resolve_project_task
+from .utils import decimal_to_hhmm
+
+
+def write_csv(
+    aggregated: list[dict],
+    output: IO[str],
+    date_str: str,
+    project_map: dict,
+) -> None:
+    """Write the aggregated timesheet data as CSV."""
+    writer = csv.writer(output)
+    writer.writerow(["Date*", "Project*", "Task", "Description", "Quantity"])
+    for entry in aggregated:
+        project, task = resolve_project_task(entry["project"], project_map)
+        writer.writerow(
+            [
+                date_str,
+                project,
+                task,
+                entry["description"],
+                f"{entry['quantity']:.2f}",
+            ]
+        )
+
+
+def print_summary(aggregated: list[dict], project_map: dict) -> None:
+    """Print a human-readable summary of time blocks to stdout."""
+    grouped: dict[str, list[dict]] = OrderedDict()
+    for entry in aggregated:
+        project, task = resolve_project_task(entry["project"], project_map)
+        label = f"{project} / {task}" if task else project
+        grouped.setdefault(label, []).append(entry)
+
+    total_all = sum(e["quantity"] for e in aggregated)
+
+    all_descs = [e["description"] for e in aggregated]
+    desc_width = max(max((len(d) for d in all_descs), default=40), 40)
+    separator = "-" * (desc_width + 16)
+
+    for label, entries in grouped.items():
+        project_total = sum(e["quantity"] for e in entries)
+        print(f"\n  {label}  ({decimal_to_hhmm(project_total)})")
+        print("  " + separator)
+        for entry in entries:
+            print(f"    {entry['description']:<{desc_width}}  {decimal_to_hhmm(entry['quantity'])}")
+        print("  " + separator)
+
+    print(f"\n  {'TOTAL':<{desc_width + 2}}  {decimal_to_hhmm(total_all)}\n")