v20-1

.gitignore

@@ -160,3 +160,33 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
 
+# my list
+**/test/
+**/incoming_files/
+**/media/
+**/logs/
+**/processed_files/
+incoming_files/
+media/
+processed_files/
+test/
+/static/
+
+# Игнорировать все папки 'old' в любом месте проекта
+**/old/
+
+# Дополнительно: игнорировать все содержимое таких папок
+**/old/*
+
+# Дополнительно: игнорировать даже скрытые файлы в таких папках
+**/old/.*
+
+# Дополнительно: игнорировать папки с другим регистром (Old, OLD и т.д.)
+**/[oO][lL][dD]/
+
+
+.codegpt
+
+# LibreOffice / OpenOffice temporary files
+.~lock.*#
+*.csv

export_cars_with_categories.py

@@ -0,0 +1,25 @@
+import pandas as pd
+
+from models import Car, Category
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+
+engine = create_engine('sqlite:///cars_database.db')
+Session = sessionmaker(bind=engine)
+session = Session()
+
+rows = []
+cars = session.query(Car).all()
+
+for car in cars:
+    car_data = {k: v for k, v in car.__dict__.items() if not k.startswith('_')}
+    # Названия категорий через ;
+    category_names = [c.name for c in car.categories]
+    car_data['category_names'] = '; '.join(category_names)
+    rows.append(car_data)
+
+df = pd.DataFrame(rows)
+df.to_csv('cars_with_categories.csv', index=False)
+
+print("✅ cars_with_categories.csv сохранён")
+session.close()

export_to_excel.py

@@ -0,0 +1,32 @@
+import pandas as pd
+
+from models import Articl, Car, Category, Product
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+
+engine = create_engine('sqlite:///cars_database.db')
+Session = sessionmaker(bind=engine)
+session = Session()
+
+models = {
+    'cars.csv': Car,
+    'categories.csv': Category,
+    'products.csv': Product,
+    'articles.csv': Articl
+}
+
+for filename, model in models.items():
+    records = session.query(model).all()
+    if not records:
+        continue
+
+    rows = []
+    for r in records:
+        row = {k: v for k, v in r.__dict__.items() if not k.startswith('_')}
+        rows.append(row)
+
+    df = pd.DataFrame(rows)
+    df.to_csv(filename, index=False)
+    print(f"✅ {filename} сохранён")
+
+session.close()

models.py

@@ -0,0 +1,59 @@
+from sqlalchemy import JSON, Column, ForeignKey, Integer, String, create_engine
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import relationship
+
+Base = declarative_base()
+
+
+class Car(Base):
+    __tablename__ = 'cars'
+
+    ID = Column(Integer, primary_key=True)
+    vendor = Column(String)
+    model = Column(String)
+    year = Column(String)
+    power = Column(String)
+    modification = Column(String)
+
+    categories = relationship("Category", back_populates="car")
+
+
+class Category(Base):
+    __tablename__ = 'categories'
+
+    ID = Column(Integer, primary_key=True)
+    ID_car = Column(Integer, ForeignKey('cars.ID'))
+    num_category = Column(String)
+    name = Column(String)
+    url = Column(String)
+    car = relationship("Car", back_populates="categories")
+    products = relationship("Product", back_populates="category")
+
+
+class Product(Base):
+    __tablename__ = 'product'
+
+    ID = Column(Integer, primary_key=True)
+    ID_category = Column(Integer, ForeignKey('categories.ID'))
+    code = Column(String)
+    img_src = Column(String)
+    description = Column(String)
+    info = Column(String)
+    product_link = Column(String)
+
+    category = relationship("Category", back_populates="products")
+    articls = relationship("Articl", back_populates="product")
+
+
+class Articl(Base):
+    __tablename__ = 'articl'
+
+    ID = Column(Integer, primary_key=True)
+    code = Column(String, ForeignKey('product.code'))
+    json_info = Column(JSON)
+
+    product = relationship("Product", back_populates="articls")
+
+
+engine = create_engine('sqlite:///cars_database.db')
+Base.metadata.create_all(engine)

requirements.txt

@@ -0,0 +1,12 @@
+et_xmlfile==2.0.0
+greenlet==3.2.2
+numpy==2.2.6
+openpyxl==3.1.5
+pandas==2.2.3
+python-dateutil==2.9.0.post0
+pytz==2025.2
+six==1.17.0
+SQLAlchemy==2.0.41
+typing_extensions==4.13.2
+tzdata==2025.2
+XlsxWriter==3.2.3