Этап: Аналитические запросы

tests/test_pipeline.py

@@ -73,6 +73,10 @@ def test_full_run_and_repeat(project):
         assert (len(amounts), sum(amounts)) == (count, revenue)
 
     outputs = project / "outputs"
+    markdown = (outputs / "query_results.md").read_text(encoding="utf-8")
+    assert "| Книги | 3 | 2600 |" in markdown
+    assert "| 2024-01-02 | 500 | -1900 |" in markdown
+    assert "Аномалий не обнаружено." in markdown
     with (outputs / "clean_orders.csv").open(encoding="utf-8-sig", newline="") as source:
         clean = list(csv.DictReader(source))
     assert sorted((int(r["order_id"]), r["order_date"], r["category"], int(r["quantity"]),

tests/test_queries.py

@@ -0,0 +1,55 @@
+import sqlite3
+from contextlib import closing
+
+import pytest
+
+from src.database import SCHEMA, reload_database, save_query_results
+from src.transform import Order
+
+
+def make_database(tmp_path, sales):
+    path = tmp_path / "orders.db"
+    orders = [
+        Order(i, f"2024-01-{day:02}", category, 1, amount, amount, i)
+        for i, (day, category, amount) in enumerate(sales, 1)
+    ]
+    reload_database(path, orders)
+    return path
+
+
+def query(path, name):
+    with closing(sqlite3.connect(path)) as db:
+        return db.execute(SCHEMA.with_name(name + ".sql").read_text(encoding="utf-8")).fetchall()
+
+
+def test_ranking_and_calendar_gap(tmp_path):
+    db = make_database(tmp_path, [(1, "B", 50), (1, "B", 50), (3, "A", 100), (3, "C", 1)])
+    assert query(db, "top_categories") == [("A", 1, 100), ("B", 2, 100), ("C", 1, 1)]
+    assert query(db, "daily_revenue") == [
+        ("2024-01-01", 100, None), ("2024-01-02", 0, -100), ("2024-01-03", 101, 101),
+    ]
+
+
+def test_separate_categories_and_zero_days(tmp_path):
+    sales = [(day, "Постоянная", 50) for day in range(1, 8)]
+    sales += [(day, "Падение", 100) for day in range(1, 8) if day != 4]
+    sales += [(4, "Рост", 100)]
+    db = make_database(tmp_path, sales)
+    assert query(db, "anomalies") == [
+        ("2024-01-04", "Падение", 0), ("2024-01-04", "Рост", 100),
+    ]
+
+
+@pytest.mark.parametrize("amounts", [[10] * 7, [1] * 5 + [100], [10] * 8 + [20] * 2])
+def test_constant_short_or_exactly_two_standard_deviations(tmp_path, amounts):
+    db = make_database(tmp_path, [(i, "A", value) for i, value in enumerate(amounts, 1)])
+    assert query(db, "anomalies") == []
+
+
+def test_empty_queries_and_report(tmp_path):
+    db = make_database(tmp_path, [])
+    for name in ("top_categories", "daily_revenue", "anomalies"):
+        assert query(db, name) == []
+    destination = tmp_path / "query_results.md"
+    save_query_results(db, destination)
+    assert "Аномалий не обнаружено." in destination.read_text(encoding="utf-8")