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User: i have such classes:
class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    username = Column(Text)
    password = Column(Text)
    balance = Column(Integer, default=0)
    status = Column(Integer, default=1)
    ip = Column(Text)

    orders = relationship("Order", back_populates="user", lazy="selectin")
    balance_applications = relationship(
        "BalanceApplication", back_populates="user", lazy="selectin")
    disputes = relationship("Dispute", back_populates="user", lazy="subquery")
    dispute_messages = relationship(
        "DisputeMessage", back_populates="user", lazy="selectin")
    activations = relationship(
        "PromocodeActivation", back_populates="user", lazy="selectin")
class Dispute(Base):
    __tablename__ = "disputes"

    id = Column(Integer, primary_key=True)
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))
    order_id = Column(ForeignKey("orders.id", ondelete="CASCADE"))
    photos = Column(Text)
    comment = Column(Text)

    user = relationship("User", back_populates="disputes", lazy="subquery")
    order = relationship("Order", back_populates="dispute", lazy="selectin")
    messages = relationship(
        "DisputeMessage", back_populates="dispute", lazy="selectin")


class DisputeMessage(Base):
    __tablename__ = "dispute_messages"

    id = Column(Integer, primary_key=True)
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))
    dispute_id = Column(ForeignKey("disputes.id", ondelete="CASCADE"))
    message = Column(Text)
    date = Column(Integer)
    read = Column(Integer, default=0)

    user = relationship(
        "User", back_populates="dispute_messages", lazy="selectin")
    dispute = relationship(
        "Dispute", back_populates="messages", lazy="selectin")
    photos = relationship(
        "DisputePhoto", back_populates="message", lazy="selectin")


class DisputePhoto(Base):
    __tablename__ = "dispute_photos"

    id = Column(Integer, primary_key=True)
    message_id = Column(ForeignKey("dispute_messages.id", ondelete="CASCADE"))
    photo = Column(Text)

    message = relationship(
        "DisputeMessage", back_populates="photos", lazy="selectin")
how can i get messages from user according to given dispute_id , read status and user status
modify this method
async def read_messages_user(self, dispute_id):
        session: AsyncSession
        async with self.async_session() as session:
            messages = await session.execute(select(DisputeMessage).where(DisputeMessage.dispute_id==dispute_id, DisputeMessage.read == 0, DisputeMessage.user.status == 1))
            for message in messages.scalars().all():
                message.read = 1
            await session.commit()
Assistant: To retrieve messages based on the given `dispute_id`, `read` status, and `user` status, you can modify your `read_messages_user` method as follows. Ensure you correctly establish the relationship between `DisputeMessage` and `User`:

### Pseudocode
1. Start an async session.
2. Use `select` to query `DisputeMessage` based on `dispute_id`, `read` status, and related `User`'s status.
3. Iterate over the results and update the `read` status.
4. Commit the changes.

### Code
```python
from sqlalchemy.future import select
from sqlalchemy.orm import joinedload

async def read_messages_user(self, dispute_id):
    async with self.async_session() as session:
        # Retrieve messages with the given conditions
        result = await session.execute(
            select(DisputeMessage)
            .options(joinedload(DisputeMessage.user))  # Ensure User data is loaded
            .where(
                DisputeMessage.dispute_id == dispute_id,
                DisputeMessage.read == 0,
                DisputeMessage.user.has(status=1)  # Filter User status
            )
        )
        # Mark each message as read
        for message in result.scalars():
            message.read = 1
        # Commit changes to the database
        await session.commit()
```

### Next Steps:
- Make sure you have correct imports and connections.
- Test the method to ensure it correctly updates the message statuses.
User: which sqlalchemy load can improve my perfomance?
Assistant: To improve performance when loading related objects in SQLAlchemy, you can use different loading strategies depending on your use case:

1. **Selectin Load (Eager Loading)**: This is useful when you need related items and want to avoid multiple round trips to the database. It retrieves related rows in a single query using a `SELECT ... IN (...)` clause.

2. **Subquery Load**: Similar to `selectin_load` but uses a subquery. It can help when dealing with larger datasets because it can limit the fetched data using subqueries.

3. **Join Load**: Eagerly loads the related objects in a single query using a `JOIN`. It can be useful if you know you always need the related data, but it can bring more data than necessary if there are many-to-many relationships.

4. **Lazy Load**: This is the default loading strategy and only loads related objects when you access them. It's more performance-friendly for single queries but can result in the N+1 problem if you access related objects in a loop.

Here's an example using `selectinload`:

```python
from sqlalchemy.orm import selectinload

async def read_messages_user(self, dispute_id):
    async with self.async_session() as session:
        # Using selectinload to load User relationship efficiently
        result = await session.execute(
            select(DisputeMessage)
            .options(selectinload(DisputeMessage.user))
            .where(
                DisputeMessage.dispute_id == dispute_id,
                DisputeMessage.read == 0,
                DisputeMessage.user.has(status=1)
            )
        )
        for message in result.scalars():
            message.read = 1
        await session.commit()
```

### Considerations:
- Choose the strategy based on your data access patterns.
- Test different loading strategies to see which performs best with your database size and query requirements.
User: which relationship loadmethod can improve my perfomance?
Assistant: To improve performance when working with SQLAlchemy relationships, consider the following relationship loading methods:

1. **selectinload**:
   - Efficient for fetching related objects in a single additional query.
   - Uses `SELECT ... IN (...)`, which is fast for retrieving related rows when the primary query results are not too large.
   - Good for many-to-one or many-to-many relationships.

2. **joinedload**:
   - Loads related objects in a single query using `JOIN`.
   - This can be efficient for one-to-many relationships when you always need related data.
   - It might bring more data than needed if there are many-to-many relationships.

3. **subqueryload**:
   - Similar to `selectinload` but uses a subquery to load related objects.
   - Can be beneficial for large datasets as it allows for more control over the subquery.

4. **lazy=dynamic**:
   - Loads a query object for relationships, which allows filtering and additional querying flexibility.
   - Useful when you may not need related objects immediately and can filter them separately as needed.

For most use cases where you want to strike a balance between performance and query clarity, `selectinload` is often a good choice:

```python
from sqlalchemy.orm import selectinload

async def read_messages_user(self, dispute_id):
    async with self.async_session() as session:
        # Efficiently load User relationship with selectinload
        result = await session.execute(
            select(DisputeMessage)
            .options(selectinload(DisputeMessage.user))
            .where(
                DisputeMessage.dispute_id == dispute_id,
                DisputeMessage.read == 0,
                DisputeMessage.user.has(status=1)
            )
        )
        for message in result.scalars():
            message.read = 1
        await session.commit()
```

### Testing:
- Measure the performance impact of different loading strategies in your specific scenario.
- Profile typical querying patterns to find the best approach.
- Balance the needs for performance and code clarity based on your application context.
User: add DynamicMapped to relationships
class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    username = Column(Text)
    password = Column(Text)
    balance = Column(Integer, default=0)
    status = Column(Integer, default=1)
    ip = Column(Text)

    orders = relationship("Order", back_populates="user", lazy="dynamic")
    balance_applications = relationship(
        "BalanceApplication", back_populates="user", lazy="dynamic")
    disputes = relationship("Dispute", back_populates="user", lazy="dynamic")
    dispute_messages = relationship(
        "DisputeMessage", back_populates="user", lazy="dynamic")
    activations = relationship(
        "PromocodeActivation", back_populates="user", lazy="dynamic")


class Product(Base):
    __tablename__ = "products"

    id = Column(Integer, primary_key=True)
    photos = Column(Text)
    name = Column(Text)
    description = Column(Text)

    locations = relationship(
        "Location", back_populates="product", lazy="dynamic")
    orders = relationship("Order", back_populates="product", lazy="dynamic")
    reviews = relationship("Review", back_populates="product", lazy="dynamic")
    tags = relationship("ProductTag", back_populates="product", lazy="dynamic")

class ProductTag(Base):
    __tablename__ = "product_tags"

    id = Column(Integer, primary_key=True)
    product_id = Column(ForeignKey("products.id", ondelete="CASCADE"))
    tag = Column(Text)

    product = relationship("Product", back_populates="tags", lazy="selectin")


class Location(Base):
    __tablename__ = "locations"

    id = Column(Integer, primary_key=True)
    region = Column(Text)
    city = Column(Text)
    district = Column(Text)
    product_id = Column(ForeignKey("products.id", ondelete="CASCADE"))
    weight = Column(REAL)
    count = Column(Integer)
    price = Column(Integer)
    preorder_price = Column(Integer)
    types = Column(Text)

    product = relationship(
        "Product", back_populates="locations", lazy="dynamic")
    addresses = relationship("Address", back_populates="location", lazy="dynamic")
    orders = relationship("Order", back_populates="location", lazy="dynamic")
    reviews = relationship(
        "Review", back_populates="location", lazy="dynamic")
    tags = relationship("LocationTag", back_populates="location", lazy="dynamic")

class LocationTag(Base):
    __tablename__ = "location_tags"

    id = Column(Integer, primary_key=True)
    location_id = Column(ForeignKey("locations.id", ondelete="CASCADE"))
    tag = Column(Text)

    location = relationship("Location", back_populates="tags", lazy="selectin")


class Address(Base):
    __tablename__ = "addresses"

    id = Column(Integer, primary_key=True)
    photos = Column(Text)
    address = Column(Text)
    note = Column(Text)
    hide_type = Column(Text)
    location_id = Column(Integer, ForeignKey("locations.id", ondelete="CASCADE"))

    location = relationship("Location", back_populates="addresses", lazy="dynamic", uselist=False)
    orders = relationship("Order", back_populates="address", lazy="dynamic")


class Order(Base):
    __tablename__ = "orders"

    id = Column(Integer, primary_key=True)
    product_id = Column(ForeignKey("products.id", ondelete="CASCADE"))
    location_id = Column(ForeignKey("locations.id", ondelete="CASCADE"))
    sum = Column(REAL)
    type = Column(Text)
    payment_method = Column(Text)
    number = Column(Text)
    status = Column(Integer, default=0)
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))
    date = Column(Integer)
    address_id = Column(ForeignKey("addresses.id", ondelete="SET NULL"))
    preorder = Column(Integer, default=0)
    uuid = Column(Text)

    user = relationship("User", back_populates="orders", lazy="dynamic")
    product = relationship("Product", back_populates="orders", lazy="dynamic")
    location = relationship(
        "Location", back_populates="orders", lazy="dynamic")
    address = relationship("Address", back_populates="orders", lazy="dynamic")
    dispute = relationship("Dispute", back_populates="order", lazy="dynamic", uselist=False)
    review = relationship("Review", back_populates="order", lazy="dynamic", uselist=False)


class Review(Base):
    __tablename__ = "reviews"

    id = Column(Integer, primary_key=True)
    text = Column(Text)
    rate = Column(Integer)
    date = Column(Integer)
    product_id = Column(ForeignKey("products.id", ondelete="CASCADE"))
    location_id = Column(ForeignKey("locations.id", ondelete="CASCADE"))
    order_id = Column(ForeignKey("orders.id", ondelete="CASCADE"))
    reply = Column(Text)

    product = relationship(
        "Product", back_populates="reviews", lazy="dynamic")
    location = relationship(
        "Location", back_populates="reviews", lazy="dynamic")
    order = relationship("Order", back_populates="review", lazy="dynamic", uselist=False)


class Number(Base):
    __tablename__ = "numbers"

    id = Column(Integer, primary_key=True)
    number = Column(Text)
    type = Column(Text)


class BalanceApplication(Base):
    __tablename__ = "balance_applications"

    id = Column(Integer, primary_key=True)
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))
    payment_method = Column(Text)
    number = Column(Text)
    sum = Column(REAL)
    status = Column(Integer, default=0)
    date = Column(Integer)
    uuid = Column(Text)

    user = relationship(
        "User", back_populates="balance_applications", lazy="dynamic")


class Dispute(Base):
    __tablename__ = "disputes"

    id = Column(Integer, primary_key=True)
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))
    order_id = Column(ForeignKey("orders.id", ondelete="CASCADE"))
    photos = Column(Text)
    comment = Column(Text)

    user = relationship("User", back_populates="disputes", lazy="subquery")
    order = relationship("Order", back_populates="dispute", lazy="dynamic")
    messages = relationship(
        "DisputeMessage", back_populates="dispute", lazy="dynamic")


class DisputeMessage(Base):
    __tablename__ = "dispute_messages"

    id = Column(Integer, primary_key=True)
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))
    dispute_id = Column(ForeignKey("disputes.id", ondelete="CASCADE"))
    message = Column(Text)
    date = Column(Integer)
    read = Column(Integer, default=0)

    user = relationship(
        "User", back_populates="dispute_messages", lazy="dynamic")
    dispute = relationship(
        "Dispute", back_populates="messages", lazy="dynamic")
    photos = relationship(
        "DisputePhoto", back_populates="message", lazy="dynamic")


class DisputePhoto(Base):
    __tablename__ = "dispute_photos"

    id = Column(Integer, primary_key=True)
    message_id = Column(ForeignKey("dispute_messages.id", ondelete="CASCADE"))
    photo = Column(Text)

    message = relationship(
        "DisputeMessage", back_populates="photos", lazy="dynamic")


class Promocode(Base):
    __tablename__ = "promocodes"

    id = Column(Integer, primary_key=True)
    coupon = Column(Text)
    discount = Column(Integer)
    activations_count = Column(Integer)

    activations = relationship(
        "PromocodeActivation", back_populates="promocode", lazy="dynamic")


class PromocodeActivation(Base):
    __tablename__ = "promocode_activations"

    id = Column(Integer, primary_key=True)
    promocode_id = Column(ForeignKey("promocodes.id", ondelete="CASCADE"))
    user_id = Column(ForeignKey("users.id", ondelete="CASCADE"))

    promocode = relationship(
        "Promocode", back_populates="activations", lazy="dynamic")
    user = relationship("User", back_populates="activations", lazy="dynamic")
Assistant: To use `DynamicMapped` in SQLAlchemy relationships, you need to import `Mapped` and `DynamicMapped` from `sqlalchemy.orm`. This allows for more precise typing of dynamic relationships. Here is how you can modify your class definitions with `DynamicMapped`:

```python
from sqlalchemy.orm import relationship, DynamicMapped, Mapped

class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    username = Column(Text)
    password = Column(Text)
    balance = Column(Integer, default=0)
    status = Column(Integer, default=1)
    ip = Column(Text)

    orders: DynamicMapped["Order"] = relationship("Order", back_populates="user", lazy="dynamic")
    balance_applications: DynamicMapped["BalanceApplication"] = relationship("BalanceApplication", back_populates="user", lazy="dynamic")
    disputes: DynamicMapped["Dispute"] = relationship("Dispute", back_populates="user", lazy="dynamic")
    dispute_messages: DynamicMapped["DisputeMessage"] = relationship("DisputeMessage", back_populates="user", lazy="dynamic")
    activations: DynamicMapped["PromocodeActivation"] = relationship("PromocodeActivation", back_populates="user", lazy="dynamic")

class Product(Base):
    __tablename__ = "products"

    id = Column(Integer, primary_key=True)
    photos = Column(Text)
    name = Column(Text)
    description = Column(Text)

    locations: DynamicMapped["Location"] = relationship("Location", back_populates="product", lazy="dynamic")
    orders: DynamicMapped["Order"] = relationship("Order", back_populates="product", lazy="dynamic")
    reviews: DynamicMapped["Review"] = relationship("Review", back_populates="product", lazy="dynamic")
    tags: DynamicMapped["ProductTag"] = relationship("ProductTag", back_populates="product", lazy="dynamic")

# Continue similarly for other entities with dynamic relationships
```

In this example, I've added `DynamicMapped` to represent the dynamic relationships in `User` and `Product` classes. Apply the same pattern to other classes with dynamic relationships in your schema. This use of `DynamicMapped` improves code clarity and type safety with SQLAlchemy when using the dynamic loading strategy.
User: do the others too
Assistant: