feat: prepare mi-fitness-mcp for first public release

Package the standalone Mi Fitness MCP with clearer public docs, release metadata, CI, and safer local repository hygiene so it is ready to publish without secrets or work identity leakage.

tests/test_mi_fitness_cloud.py

@@ -0,0 +1,65 @@
+import pytest
+
+from mi_fitness_mcp.adapters.mi_fitness_cloud import MiFitnessCloudAdapter
+
+
+async def _collect(async_iterable):
+    items = []
+    async for item in async_iterable:
+        items.append(item)
+    return items
+
+
+def test_optional_number_helpers():
+    adapter = MiFitnessCloudAdapter(user_id="u1", pass_token="p1")
+    assert adapter._optional_float(0) is None
+    assert adapter._optional_float("1.5") == 1.5
+    assert adapter._optional_int(0) is None
+    assert adapter._optional_int("7") == 7
+
+
+def test_parse_value_dict_and_json():
+    adapter = MiFitnessCloudAdapter(user_id="u1", pass_token="p1")
+    assert adapter._parse_value({"value": {"steps": 1}}) == {"steps": 1}
+    assert adapter._parse_value({"value": '{"steps": 2}'}) == {"steps": 2}
+
+
+def test_record_datetime_uses_zone_offset():
+    adapter = MiFitnessCloudAdapter(user_id="u1", pass_token="p1")
+    dt = adapter._record_datetime({"time": 0, "zone_offset": 10800})
+    assert dt.isoformat().startswith("1970-01-01T03:00:00")
+
+@pytest.mark.asyncio
+async def test_iter_daily_activity_aggregates_steps_and_calories(monkeypatch):
+    adapter = MiFitnessCloudAdapter(user_id="u1", pass_token="p1")
+    adapter._connected = True
+    adapter._client = object()
+
+    async def fake_fetch(key, start_date, end_date, region=None):
+        if key == "steps":
+            return [
+                {
+                    "time": 1743467400,
+                    "zone_offset": 0,
+                    "value": '{"steps": 10, "distance": 8, "calories": 1}',
+                },
+                {
+                    "time": 1743467460,
+                    "zone_offset": 0,
+                    "value": '{"steps": 20, "distance": 16, "calories": 2}',
+                },
+            ]
+        if key == "calories":
+            return [
+                {"time": 1743467400, "zone_offset": 0, "value": '{"calories": 5}'},
+                {"time": 1743467460, "zone_offset": 0, "value": '{"calories": 7}'},
+            ]
+        return []
+
+    monkeypatch.setattr(adapter, "_fetch_key", fake_fetch)
+    items = await _collect(adapter.iter_daily_activity("2025-04-01", "2025-04-01"))
+
+    assert len(items) == 1
+    assert items[0].steps == 30
+    assert items[0].distance_m == 24
+    assert items[0].active_kcal == 12