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Add generated backend for blog_app

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Idris Abdurrahman 2025-03-20 09:54:31 +01:00
parent 1d1b234108
commit 3ed6d4887f
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46
app/api/core/dependencies/dependencies.py Normal file
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Here's the `dependencies.py` file for the specified location `app/api/core/dependencies/`:
```python
from typing import Generator
from sqlalchemy.orm import Session
from app.api.db.database import SessionLocal
def get_db() -> Generator[Session, None, None]:
"""
Dependency function that provides a SQLAlchemy session.
Yields:
Session: A SQLAlchemy session instance.
"""
db = SessionLocal()
try:
yield db
finally:
db.close()
```
This file defines a `get_db` function that serves as a dependency for FastAPI routes that require a database session. The function uses the `SessionLocal` object from `app.api.db.database` to create a new SQLAlchemy session, which is then yielded to the requesting route.
The `get_db` function is a generator function that yields the session instance and ensures it is properly closed after the requesting route has finished executing.
To use this dependency in a FastAPI route, you can include it as a function parameter, and FastAPI will automatically resolve the dependency by calling the `get_db` function and providing the yielded session instance. For example:
```python
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from app.api.core.dependencies import get_db
router = APIRouter()
@router.get("/items")
def get_items(db: Session = Depends(get_db)):
# Use the provided db session to interact with the database
...
```
In this example, the `get_items` route receives a `Session` instance as the `db` parameter, which is automatically provided by FastAPI by calling the `get_db` dependency function.
Note that you'll need to configure the `SessionLocal` object in `app.api.db.database` to connect to your SQLite database using the appropriate connection string and engine configuration.

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app/api/core/middleware/activity_tracker.py Normal file
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Here's the `activity_tracker.py` file with the `ActivityTrackerMiddleware` class that logs request method, URL, and processing time:
```python
# app/api/core/middleware/activity_tracker.py
import time
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
from starlette.responses import Response
class ActivityTrackerMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
start_time = time.time()
request_method = request.method
request_url = str(request.url)
try:
response = await call_next(request)
finally:
process_time = time.time() - start_time
log_message = f"{request_method} {request_url} - {process_time:.6f} seconds"
print(log_message)
return response
```
This middleware class extends the `BaseHTTPMiddleware` class from Starlette, which is the underlying ASGI server used by FastAPI. The `dispatch` method is the entry point for the middleware, which is called for every incoming request.
Here's how the middleware works:
1. The `dispatch` method is called with the incoming `Request` object and a `call_next` function.
2. The current time is recorded using `time.time()` to calculate the processing time later.
3. The request method and URL are extracted from the `Request` object.
4. The `call_next` function is called with the `Request` object, which passes the request to the next middleware or the application itself. The response from the application is stored in the `response` variable.
5. After the response is received, the processing time is calculated by subtracting the start time from the current time.
6. A log message is constructed with the request method, URL, and processing time, and printed to the console using `print`.
7. The `response` is returned to the caller.
To use this middleware in your FastAPI application, you need to add it to the list of middleware in your `main.py` file:
```python
# main.py
from fastapi import FastAPI
from app.api.core.middleware.activity_tracker import ActivityTrackerMiddleware
app = FastAPI()
app.add_middleware(ActivityTrackerMiddleware)
# ... other routes and configurations ...
```
With this middleware in place, every incoming request to your FastAPI application will be logged with its method, URL, and processing time.

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app/api/db/database.py Normal file
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Here's the `database.py` file for your FastAPI backend named 'blog_app' with SQLite configuration using SQLAlchemy:
```python
# app/api/db/database.py
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
# SQLite database URL
SQLALCHEMY_DATABASE_URL = "sqlite:///./blog_app.db"
# Create the SQLAlchemy engine
engine = create_engine(
SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
)
# Create a SessionLocal class for database sessions
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
# Create a Base class for models
Base = declarative_base()
```
This file contains the following components:
1. **SQLALCHEMY_DATABASE_URL**: The URL for the SQLite database file `blog_app.db`.
2. **engine**: The SQLAlchemy engine created using the `create_engine` function with the `SQLALCHEMY_DATABASE_URL` and a specific connection argument for SQLite (`check_same_thread=False`).
3. **SessionLocal**: A class that creates database sessions using the `sessionmaker` function. The `autocommit` and `autoflush` parameters are set to `False` for better control over transactions.
4. **Base**: A base class for defining SQLAlchemy models, created using the `declarative_base` function.
You can import and use these components in your FastAPI application as follows:
```python
# Import the required components
from app.api.db.database import SessionLocal, engine, Base
# Create a database session
db = SessionLocal()
# Use the session for database operations
# ...
# Close the session
db.close()
```
Make sure to create the `app/api/db/` directory in your project structure before adding this file.

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app/api/v1/models/and.py Normal file
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Here's the `and.py` file with the `And` model for the `blog_app` application:
```python
# app/api/v1/models/and.py
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.orm import relationship
from app.api.db.database import Base
class And(Base):
__tablename__ = "ands"
id = Column(Integer, primary_key=True, index=True)
title = Column(String, nullable=False)
content = Column(String, nullable=False)
user_id = Column(Integer, ForeignKey("users.id"), nullable=False)
author = relationship("User", back_populates="ands")
def __repr__(self):
return f"And(id={self.id}, title='{self.title}', content='{self.content[:20]}...', user_id={self.user_id})"
```
Explanation:
1. We import the necessary modules from SQLAlchemy: `Column`, `ForeignKey`, `Integer`, `String`, and `relationship`.
2. We import the `Base` class from `app.api.db.database`, which represents the base class for all SQLAlchemy models in this project.
3. We define the `And` class, which inherits from the `Base` class.
4. The `__tablename__` attribute specifies the name of the database table associated with this model.
5. We define the following columns for the `And` model:
- `id`: An integer primary key column with an index.
- `title`: A non-nullable string column for the and title.
- `content`: A non-nullable string column for the and content.
- `user_id`: A non-nullable integer column that represents a foreign key referencing the `users` table.
6. We define a relationship between the `And` model and the `User` model using the `relationship` function from SQLAlchemy. This relationship is named `author` and is back-populated with the `ands` attribute on the `User` model.
7. We define the `__repr__` method to provide a string representation of the `And` instance, which can be useful for debugging and logging purposes.
This model assumes that there is a `User` model defined elsewhere in the project, and that the `users` table exists in the database. The `And` model represents a blog and or article, where each and is associated with a specific user (author).
When you create instances of the `And` model and add them to the database session, SQLAlchemy will automatically handle the creation of the `ands` table in the database, as well as the management of the foreign key relationship with the `users` table.

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Here's the `comments.py` file with the `Comments` model for the `blog_app` app:
```python
# app/api/v1/models/comments.py
from sqlalchemy import Column, ForeignKey, Integer, String, Text
from sqlalchemy.orm import relationship
from app.api.db.database import Base
class Comments(Base):
__tablename__ = "comments"
id = Column(Integer, primary_key=True, index=True)
post_id = Column(Integer, ForeignKey("posts.id"), nullable=False)
author_id = Column(Integer, ForeignKey("users.id"), nullable=False)
content = Column(Text, nullable=False)
created_at = Column(String, nullable=False)
updated_at = Column(String, nullable=True)
post = relationship("Posts", back_populates="comments")
author = relationship("Users", back_populates="comments")
def __repr__(self):
return f"Comment(id={self.id}, post_id={self.post_id}, author_id={self.author_id}, content='{self.content}', created_at='{self.created_at}', updated_at='{self.updated_at}')"
```
Explanation:
1. We import the necessary modules from SQLAlchemy, including `Column`, `ForeignKey`, `Integer`, `String`, `Text`, and `relationship`.
2. We also import `Base` from `app.api.db.database`, which is assumed to be the base class for SQLAlchemy models in this project.
3. The `Comments` class inherits from `Base` and defines the following columns:
- `id`: Primary key and index for the table.
- `post_id`: Foreign key referencing the `id` column of the `posts` table.
- `author_id`: Foreign key referencing the `id` column of the `users` table.
- `content`: Text content of the comment.
- `created_at`: String representing the creation timestamp of the comment.
- `updated_at`: String representing the last update timestamp of the comment (nullable).
4. We define two relationships:
- `post`: A relationship with the `Posts` model, back-populating the `comments` attribute.
- `author`: A relationship with the `Users` model, back-populating the `comments` attribute.
5. The `__repr__` method is defined to provide a string representation of the `Comments` object.
Note: This model assumes the existence of `Posts` and `Users` models, which should be defined in separate files. Additionally, the `app.api.db.database` module should provide the `Base` class, which is typically defined using the SQLAlchemy declarative base.

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app/api/v1/models/posts.py Normal file
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Here's the `posts.py` file with the `Posts` model for the `blog_app` application:
```python
# app/api/v1/models/posts.py
from sqlalchemy import Column, Integer, String, Text, ForeignKey
from sqlalchemy.orm import relationship
from app.api.db.database import Base
class Posts(Base):
__tablename__ = "posts"
id = Column(Integer, primary_key=True, index=True)
title = Column(String, nullable=False)
content = Column(Text, nullable=False)
author_id = Column(Integer, ForeignKey("users.id"), nullable=False)
author = relationship("Users", back_populates="posts")
```
This model defines the `Posts` table with the following fields:
- `id`: An auto-incrementing primary key for the post.
- `title`: A non-nullable string field for the post title.
- `content`: A non-nullable text field for the post content.
- `author_id`: A non-nullable foreign key referencing the `id` of the `Users` table, representing the author of the post.
The `author` field is a relationship to the `Users` model, which allows accessing the author information from a post object. The `back_populates` parameter ensures that the relationship is bi-directional, allowing access to the associated posts from a user object.
Note that this model assumes the existence of a `Users` model, which should be defined in a separate file (e.g., `users.py`). The `Base` class is imported from `app.api.db.database`, which is a common pattern in FastAPI projects using SQLAlchemy and SQLite.
Make sure to import any necessary modules (e.g., `sqlalchemy`) in your project and configure the database connection properly.

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app/api/v1/models/user.py Normal file
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Here's the `user.py` file with the `User` model for the `blog_app` app:
```python
# app/api/v1/models/user.py
from sqlalchemy import Column, Integer, String, Boolean
from app.api.db.database import Base
class User(Base):
__tablename__ = "users"
id = Column(Integer, primary_key=True, index=True)
username = Column(String, unique=True, index=True)
email = Column(String, unique=True, index=True)
password = Column(String)
is_active = Column(Boolean, default=True)
is_admin = Column(Boolean, default=False)
def __repr__(self):
return f"User(id={self.id}, username='{self.username}', email='{self.email}', is_active={self.is_active}, is_admin={self.is_admin})"
```
Explanation:
1. We import the necessary modules from SQLAlchemy: `Column`, `Integer`, `String`, and `Boolean`.
2. We import the `Base` class from `app.api.db.database`, which is the base class for all SQLAlchemy models in the project.
3. We define the `User` class, which inherits from `Base`.
4. We set the `__tablename__` attribute to `"users"`, which will be the name of the table in the database.
5. We define the following columns for the `User` model:
- `id`: An integer primary key and index column.
- `username`: A string column that is unique and indexed.
- `email`: A string column that is unique and indexed.
- `password`: A string column for storing the user's password.
- `is_active`: A boolean column that indicates whether the user account is active or not, defaulting to `True`.
- `is_admin`: A boolean column that indicates whether the user has admin privileges or not, defaulting to `False`.
6. We define the `__repr__` method to provide a string representation of the `User` object, which is useful for debugging and logging purposes.
This `User` model can be used in the FastAPI backend to handle user authentication, registration, and other user-related operations in the `blog_app` app.
Note: Make sure to import this model in the appropriate places and create the necessary database tables using Alembic migrations or other methods provided by SQLAlchemy.

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app/api/v1/routes/__init__.py
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Here's the `routes/__init__.py` file for the FastAPI backend:
```python
from fastapi import APIRouter
from .and import router as and_router
from .user import router as user_router
from .posts import router as posts_router
from .comments import router as comments_router
api_router = APIRouter()
api_router.include_router(and_router, prefix="/ands", tags=["ands"])
api_router.include_router(user_router, prefix="/users", tags=["users"])
api_router.include_router(posts_router, prefix="/posts", tags=["posts"])
api_router.include_router(comments_router, prefix="/comments", tags=["comments"])
```
This file creates a main `APIRouter` instance `api_router` and includes the routers from `and.py`, `user.py`, `posts.py`, and `comments.py` with their respective prefixes and tags.
The prefixes are set to `/ands`, `/users`, `/posts`, and `/comments`, respectively, ensuring that the routes defined in each router file are accessible under the corresponding URL path.
The tags are set to `["ands"]`, `["users"]`, `["posts"]`, and `["comments"]`, respectively. These tags are used for grouping and organizing the API endpoints in the interactive documentation (e.g., Swagger UI or ReDoc).
Make sure to import the necessary router instances from the corresponding files (`and.py`, `user.py`, `posts.py`, and `comments.py`) and include them in the main `api_router` using the `include_router` method.
This file should be placed in the `app/api/v1/routes/` directory, as specified in the project structure.

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app/api/v1/routes/and.py Normal file
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Here's the `and.py` file for the `app/api/v1/routes/` directory with the specified endpoints:
```python
from typing import List
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from app.api.v1.models.and import And
from app.api.v1.schemas.and import AndCreate, AndResponse
from app.api.core.dependencies.dependencies import get_db
router = APIRouter()
@router.get("/ands", response_model=List[AndResponse])
def read_ands(db: Session = Depends(get_db)):
ands = db.query(And).all()
return ands
@router.post("/ands", response_model=AndResponse)
def create_and(and_data: AndCreate, db: Session = Depends(get_db)):
and_db = And(**and_data.dict())
db.add(and_db)
db.commit()
db.refresh(and_db)
return and_db
@router.get("/ands/{id}", response_model=AndResponse)
def read_and(id: int, db: Session = Depends(get_db)):
and_db = db.query(And).get(id)
if not and_db:
raise HTTPException(status_code=404, detail="And not found")
return and_db
```
Explanation:
1. We import the necessary modules and classes from FastAPI, SQLAlchemy, and the project's models and schemas.
2. We create an instance of `APIRouter` to define our routes.
3. The `read_ands` function handles the `GET /ands` endpoint. It uses the `get_db` dependency to obtain a database session, queries all `And` objects from the database, and returns them as a list of `AndResponse` objects.
4. The `create_and` function handles the `POST /ands` endpoint. It takes an `AndCreate` object as input, creates a new `And` object from the data, adds it to the database session, commits the changes, and returns the newly created `And` object as an `AndResponse`.
5. The `read_and` function handles the `GET /ands/{id}` endpoint. It takes an `id` parameter, queries the database for an `And` object with the given ID, and returns it as an `AndResponse`. If no `And` object is found, it raises an `HTTPException` with a 404 status code.
Note: This code assumes that you have defined the `And` model in `app.api.v1.models.and` and the `AndCreate` and `AndResponse` schemas in `app.api.v1.schemas.and`. Additionally, the `get_db` dependency function should be defined in `app.api.core.dependencies.dependencies`.

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app/api/v1/routes/comments.py Normal file
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Here's the 'comments.py' router file with the specified endpoints:
```python
from typing import List
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from app.api.v1.models.comments import Comments
from app.api.v1.schemas.comments import CommentsCreate, CommentsResponse
from app.api.core.dependencies.dependencies import get_db
router = APIRouter()
@router.get("/commentss", response_model=List[CommentsResponse])
def read_commentss(db: Session = Depends(get_db)):
commentss = db.query(Comments).all()
return commentss
@router.post("/commentss", response_model=CommentsResponse)
def create_comments(comments: CommentsCreate, db: Session = Depends(get_db)):
db_comments = Comments(**comments.dict())
db.add(db_comments)
db.commit()
db.refresh(db_comments)
return db_comments
@router.get("/commentss/{id}", response_model=CommentsResponse)
def read_comments(id: int, db: Session = Depends(get_db)):
comments = db.query(Comments).filter(Comments.id == id).first()
if not comments:
raise HTTPException(status_code=404, detail="Comments not found")
return comments
```
Explanation:
1. We import the necessary modules and dependencies.
2. We create an instance of `APIRouter` for our comments routes.
3. The `read_commentss` function handles the `GET /commentss` endpoint. It fetches all comments from the database using `db.query(Comments).all()` and returns them as a list of `CommentsResponse` models.
4. The `create_comments` function handles the `POST /commentss` endpoint. It creates a new comments instance from the provided `CommentsCreate` schema, adds it to the database, commits the changes, and returns the newly created comments as a `CommentsResponse` model.
5. The `read_comments` function handles the `GET /commentss/{id}` endpoint. It fetches a comments by its ID using `db.query(Comments).filter(Comments.id == id).first()`. If the comments is not found, it raises an `HTTPException` with a 404 status code. Otherwise, it returns the comments as a `CommentsResponse` model.
6. All database operations are performed using the `get_db` dependency, which provides a database session.
Note: This code assumes that you have defined the `Comments` model in `app.api.v1.models.comments` and the `CommentsCreate` and `CommentsResponse` schemas in `app.api.v1.schemas.comments`.

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# app/api/v1/routes/posts.py
from typing import List
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from app.api.v1.models.posts import Posts
from app.api.v1.schemas.posts import PostsCreate, PostsResponse
from app.api.core.dependencies.dependencies import get_db
router = APIRouter()
@router.get("/postss", response_model=List[PostsResponse])
def get_postss(db: Session = Depends(get_db)):
postss = db.query(Posts).all()
return postss
@router.post("/postss", response_model=PostsResponse)
def create_posts(posts: PostsCreate, db: Session = Depends(get_db)):
db_posts = Posts(**posts.dict())
db.add(db_posts)
db.commit()
db.refresh(db_posts)
return db_posts
@router.get("/postss/{id}", response_model=PostsResponse)
def get_posts(id: int, db: Session = Depends(get_db)):
db_posts = db.query(Posts).filter(Posts.id == id).first()
if not db_posts:
raise HTTPException(status_code=404, detail="Posts not found")
return db_posts
```
This code defines a FastAPI router with three endpoints:
1. `GET /postss`: Lists all posts from the database. It uses the `Posts` model from `app.api.v1.models.posts` and returns a list of `PostsResponse` schemas from `app.api.v1.schemas.posts`.
2. `POST /postss`: Creates a new post in the database. It accepts a `PostsCreate` schema from `app.api.v1.schemas.posts` as the request body, creates a new `Posts` model instance, adds it to the database, and returns the created `PostsResponse` schema.
3. `GET /postss/{id}`: Retrieves a specific post by ID from the database. It uses the `Posts` model from `app.api.v1.models.posts` and returns a `PostsResponse` schema from `app.api.v1.schemas.posts`. If the post with the given ID is not found, it raises an `HTTPException` with a 404 status code.
All the endpoints use the `get_db` dependency from `app.api.core.dependencies.dependencies` to obtain a database session.
Note: This code assumes that the `Posts` model, `PostsCreate` schema, and `PostsResponse` schema exist in the specified locations. You may need to create or modify these files based on your project's requirements.

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Here's the `user.py` file for the specified routes:
```python
from typing import List
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from app.api.v1.models.user import User
from app.api.v1.schemas.user import UserCreate, UserResponse
from app.api.core.dependencies.dependencies import get_db
router = APIRouter()
@router.get("/users", response_model=List[UserResponse])
def read_users(db: Session = Depends(get_db)):
users = db.query(User).all()
return users
@router.post("/users", response_model=UserResponse)
def create_user(user: UserCreate, db: Session = Depends(get_db)):
db_user = User(**user.dict())
db.add(db_user)
db.commit()
db.refresh(db_user)
return db_user
@router.get("/users/{user_id}", response_model=UserResponse)
def read_user(user_id: int, db: Session = Depends(get_db)):
db_user = db.query(User).filter(User.id == user_id).first()
if not db_user:
raise HTTPException(status_code=404, detail="User not found")
return db_user
```
Explanation:
1. We import the necessary modules and dependencies.
2. We create an instance of `APIRouter` to define the routes.
3. The `read_users` function handles the `GET /users` route. It fetches all users from the database using `db.query(User).all()` and returns them as a list of `UserResponse` models.
4. The `create_user` function handles the `POST /users` route. It takes a `UserCreate` model as input, creates a new `User` instance from the input data, adds it to the database session, commits the changes, and returns the newly created user as a `UserResponse` model.
5. The `read_user` function handles the `GET /users/{user_id}` route. It fetches a user from the database based on the provided `user_id`. If the user is not found, it raises an `HTTPException` with a 404 status code. Otherwise, it returns the user as a `UserResponse` model.
6. All routes use the `get_db` dependency to obtain a database session.
Note: This code assumes that you have defined the `User` model in `app.api.v1.models.user` and the `UserCreate` and `UserResponse` schemas in `app.api.v1.schemas.user`. Additionally, the `get_db` dependency should be defined in `app.api.core.dependencies.dependencies`.

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Here's the `and.py` file with the `AndCreate` and `And` schemas for the `blog_app` application:
```python
# app/api/v1/schemas/and.py
from typing import Optional
from pydantic import BaseModel
# AndBase schema
class AndBase(BaseModel):
name: str
description: Optional[str] = None
# AndCreate schema for creating a new "and" instance
class AndCreate(AndBase):
pass
# And schema for reading "and" instances
class And(AndBase):
id: int
name: str
description: Optional[str] = None
class Config:
orm_mode = True
```
Explanation:
1. We import the necessary modules: `typing` for type hints, and `pydantic` for defining data models.
2. `AndBase` is a base Pydantic model that defines the common fields for both `AndCreate` and `And` schemas. It has two fields: `name` (required) and `description` (optional).
3. `AndCreate` inherits from `AndBase` and represents the schema for creating a new "and" instance. It doesn't add any additional fields.
4. `And` inherits from `AndBase` and represents the schema for reading "and" instances. It adds an `id` field, which is typically the primary key in the database.
5. In the `And` model, we set `orm_mode = True` in the `Config` class. This allows Pydantic to work with ORM objects (e.g., SQLAlchemy models) and automatically convert them to Pydantic models.
This file can be used in your FastAPI application to define request and response models for the "and" entity in the `blog_app` context. You can import these models in your API routes and use them for data validation, serialization, and deserialization.

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Ensure all necessary imports and dependencies are included, maintaining consistency with a FastAPI project structure using SQLite and SQLAlchemy.
Here's the 'comments.py' file with the requested schemas:
```python
# app/api/v1/schemas/comments.py
from typing import Optional
from pydantic import BaseModel
from datetime import datetime
# CommentsCreate schema for creating a new comment
class CommentsCreate(BaseModel):
content: str
post_id: int
user_id: int
# Comments schema for reading/returning comments
class Comments(BaseModel):
id: int
content: str
created_at: datetime
updated_at: Optional[datetime] = None
post_id: int
user_id: int
class Config:
orm_mode = True
```
Explanation:
1. The necessary imports are included: `typing` for type hints, `pydantic` for defining the schemas, and `datetime` for handling date and time fields.
2. The `CommentsCreate` schema is defined with fields `content` (str), `post_id` (int), and `user_id` (int). This schema will be used for creating new comments.
3. The `Comments` schema is defined with fields `id` (int), `content` (str), `created_at` (datetime), `updated_at` (Optional[datetime]), `post_id` (int), and `user_id` (int). This schema will be used for reading and returning comments.
4. The `orm_mode = True` configuration is set in the `Comments` schema, which tells Pydantic to read data from SQLAlchemy ORM models.
Note: This file assumes that the `comments` table in the database has columns corresponding to the defined fields in the schemas. If the table structure is different, the schemas should be adjusted accordingly.

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app/api/v1/schemas/posts.py Normal file
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Here's the `posts.py` file with the `PostsCreate` and `Posts` schemas for the `blog_app`:
```python
# app/api/v1/schemas/posts.py
from typing import Optional
from pydantic import BaseModel
from datetime import datetime
class PostsCreate(BaseModel):
title: str
content: str
published: bool = False
class Posts(BaseModel):
id: int
title: str
content: str
published: bool
created_at: datetime
updated_at: Optional[datetime] = None
class Config:
orm_mode = True
```
Explanation:
1. The `PostsCreate` schema defines the fields required for creating a new post. It includes `title`, `content`, and an optional `published` field with a default value of `False`.
2. The `Posts` schema defines the fields for representing a post in the database. It includes `id`, `title`, `content`, `published`, `created_at`, and an optional `updated_at` field.
3. The `orm_mode = True` is set in the `Config` class of the `Posts` schema to allow Pydantic to automatically convert data from ORM objects (e.g., SQLAlchemy models) to Pydantic models and vice versa.
4. The `Optional` type from the `typing` module is used for the `updated_at` field, indicating that it can be `None`.
5. The `datetime` type is imported from the `datetime` module to represent the `created_at` and `updated_at` fields.
This file should be placed in the `app/api/v1/schemas/` directory, following the typical FastAPI project structure.
Make sure to install the required dependencies (`pydantic` and `typing`) in your project environment if they are not installed already.

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app/api/v1/schemas/user.py Normal file
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Ensure all necessary imports and dependencies are included, maintaining consistency with a FastAPI project structure using SQLite and SQLAlchemy.
Here's the `user.py` file for the `app/api/v1/schemas/` directory:
```python
from typing import Optional
from pydantic import BaseModel, EmailStr
# User Schema for Pydantic Model
class UserBase(BaseModel):
email: EmailStr
is_active: Optional[bool] = True
is_superuser: bool = False
full_name: Optional[str] = None
# Properties to receive via API on creation
class UserCreate(UserBase):
email: EmailStr
password: str
# Properties to receive via API on update
class UserUpdate(UserBase):
password: Optional[str] = None
# Additional properties to return via API
class User(UserBase):
id: int
class Config:
orm_mode = True
```
Explanation:
1. The `UserBase` class defines the common properties shared by all user schemas, including `email`, `is_active`, `is_superuser`, and `full_name`.
2. The `UserCreate` class inherits from `UserBase` and adds the `password` field, which is required when creating a new user.
3. The `UserUpdate` class also inherits from `UserBase` and includes an optional `password` field for updating an existing user's password.
4. The `User` class inherits from `UserBase` and adds an `id` field, which is typically the primary key in the database. It also includes the `orm_mode = True` configuration to allow Pydantic to work with SQLAlchemy models.
5. The necessary imports are included at the top of the file, including `typing` for type annotations, `pydantic` for defining the schemas, and `EmailStr` for email validation.
This file defines the Pydantic schemas for the user model in the `blog_app` application, following the FastAPI project structure and using SQLite and SQLAlchemy for database operations.

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main.py
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import uvicorn
from fastapi import FastAPI from fastapi import FastAPI
from starlette.middleware.cors import CORSMiddleware
app = FastAPI(title="Generated Backend") from app.api.v1.routes import router as v1_router
from app.api.core.middleware import activity_tracker
from app.core.config import settings
from app.db.base import Base
from app.db.session import engine
@app.get("/") app = FastAPI(
def read_root(): title=settings.PROJECT_NAME,
return {"message": "Welcome to the generated backend"} openapi_url=f"{settings.API_V1_STR}/openapi.json"
)
# Set all CORS enabled origins
if settings.BACKEND_CORS_ORIGINS:
app.add_middleware(
CORSMiddleware,
allow_origins=[str(origin) for origin in settings.BACKEND_CORS_ORIGINS],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include activity tracker middleware
app.middleware("http")(activity_tracker)
# Include v1 router
app.include_router(v1_router, prefix=settings.API_V1_STR)
# Create database tables
Base.metadata.create_all(bind=engine)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
```
This `main.py` file sets up the FastAPI application for the `blog_app` project. Here's a breakdown of what it does:
1. Import necessary modules and dependencies.
2. Create an instance of the `FastAPI` app with the project name and OpenAPI URL.
3. Set up CORS middleware to allow cross-origin requests from specified origins.
4. Include the `activity_tracker` middleware from `app.api.core.middleware`.
5. Include the `v1_router` from `app.api.v1.routes` under the `/v1` prefix.
6. Create database tables using SQLAlchemy's `Base.metadata.create_all` method, which connects to the SQLite database `blog_app.db` (assuming the database URL is configured correctly in `app.core.config`).
7. If the script is run directly (not imported as a module), start the Uvicorn server on `0.0.0.0:8000`.
Note that this code assumes the following project structure:
```
app/
api/
v1/
routes.py
core/
middleware.py
core/
config.py
db/
base.py
session.py
main.py
```
You'll need to create these files and directories, and populate them with the necessary code for your application. Additionally, you'll need to install the required dependencies (e.g., `fastapi`, `uvicorn`, `sqlalchemy`) and configure the database URL in `app.core.config`.

6
requirements.txt
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Here's the `requirements.txt` file with the requested dependencies:
```
fastapi fastapi
uvicorn uvicorn
sqlalchemy sqlalchemy
pydantic pydantic
```