Merge remote-tracking branch 'origin/main'

This reverts commit 51ccc92cd0.

# Conflicts:
#	main.py

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Ignored default folder with query files
+/queries/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
+# Editor-based HTTP Client requests
+/httpRequests/

.idea/MyPractice.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="Python 3.14" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.14" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.14" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/MyPractice.iml" filepath="$PROJECT_DIR$/.idea/MyPractice.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

main.py

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+import csv
+from collections import defaultdict
+
+
+def load_data(filepath: str) -> list[dict]:
+    records = []
+    with open(filepath, mode='r', encoding='utf-8') as f:
+        reader = csv.reader(f)
+        for row in reader:
+            if not row: continue
+            name, category, price, quantity, date = row
+            records.append({
+                "name": name.strip(),
+                "category": category.strip(),
+                "price": float(price),
+                "quantity": int(quantity),
+                "date": date.strip()
+            })
+    return records
+
+
+def clean_data(records: list[dict]) -> list[dict]:
+    cleaned = []
+    for r in records:
+        if r['price'] >= 0 and r['quantity'] >= 0:
+            r['category'] = r['category'].lower()
+            cleaned.append(r)
+    return cleaned
+
+
+def filter_by_category(records: list[dict], category: str) -> list[dict]:
+    return [r for r in records if r['category'] == category.lower()]
+
+
+def filter_by_price_range(records: list[dict], min_price: float, max_price: float) -> list[dict]:
+    return [r for r in records if min_price <= r['price'] <= max_price]
+
+
+def total_revenue(records: list[dict]) -> float:
+    return sum(r['price'] * r['quantity'] for r in records)
+
+
+def category_revenue(records: list[dict]) -> dict[str, float]:
+    rev_map = defaultdict(float)
+    for r in records:
+        rev_map[r['category']] += r['price'] * r['quantity']
+    return dict(rev_map)
+
+
+def top_n_items(records: list[dict], n: int) -> list[tuple[str, int]]:
+    counts = defaultdict(int)
+    for r in records:
+        counts[r['name']] += r['quantity']
+    sorted_items = sorted(counts.items(), key=lambda x: x[1], reverse=True)
+    return sorted_items[:n]
+
+
+def monthly_sales(records: list[dict]) -> dict[str, float]:
+    monthly_rev = defaultdict(float)
+    for r in records:
+        month = r['date'][:7]  # Извлекает YYYY-MM
+        monthly_rev[month] += r['price'] * r['quantity']
+    return dict(sorted(monthly_rev.items()))
+
+
+def best_selling_category(records: list[dict]) -> str:
+    cat_rev = category_revenue(records)
+    if not cat_rev: return ""
+    return max(cat_rev, key=cat_rev.get)
+
+
+def export_summary(records: list[dict], output_path: str) -> None:
+    rev = total_revenue(records)
+    best_cat = best_selling_category(records)
+    top3 = top_n_items(records, 3)
+    monthly = monthly_sales(records)
+
+    with open(output_path, 'w', encoding='utf-8') as f:
+        f.write("СВОДНЫЙ ОТЧЕТ ПО ПРОДАЖАМ\n")
+        f.write("=" * 30 + "\n")
+        f.write(f"Общая выручка: {rev:.2f}\n")
+        f.write(f"Лучшая категория: {best_cat}\n\n")
+        f.write("Топ-3 товара (по количеству):\n")
+        for name, qty in top3:
+            f.write(f"- {name}: {qty} шт.\n")
+        f.write("\nВыручка по месяцам:\n")
+        for month, m_rev in monthly.items():
+            f.write(f"- {month}: {m_rev:.2f}\n")
+
+
+def main() -> None:
+    data = load_data("data/sales.csv")
+    data = clean_data(data)
+    filtered = filter_by_price_range(data, 10, 500)
+    rev = total_revenue(filtered)
+    category_revenue(filtered)
+    best_cat = best_selling_category(filtered)
+    top3 = top_n_items(filtered, 3)
+    monthly = monthly_sales(filtered)
+    print(f"--- Результаты анализа (фильтр: 10-500 руб) ---")
+    print(f"Общая выручка: {rev:.2f}")
+    print(f"Лучшая категория: {best_cat.capitalize()}")
+    print(f"Топ-3 товара: {top3}")
+    print(f"Выручка по месяцам: {monthly}")
+    export_summary(filtered, "report.txt")
+    print(f"\nОтчет успешно сохранен в report.txt")
+if __name__ == "__main__":
+    main()