Update code in endpoints/countries.post.py

endpoints/countries.post.py

@@ -0,0 +1,60 @@
+Sure, here's an example of a FastAPI endpoint that saves countries to a database using SQLAlchemy and Pydantic schemas:
+
+```python
+from typing import List
+from fastapi import APIRouter, Depends
+from sqlalchemy.orm import Session
+from . import models, schemas
+from .database import SessionLocal, engine
+
+router = APIRouter()
+
+# Create the database tables
+models.Base.metadata.create_all(bind=engine)
+
+# Dependency for getting a database session
+
+@router.post("/countries", response_model=List[schemas.Country])
+def create_countries(countries: List[schemas.CountryCreate], db: Session = Depends(get_db)):
+    db_countries = []
+    for country_data in countries:
+        db_country = models.Country(name=country_data.name, capital=country_data.capital)
+        db.add(db_country)
+        db.commit()
+        db.refresh(db_country)
+        db_countries.append(db_country)
+    return db_countries
+```
+
+Here's what's happening:
+
+1. We import the necessary modules and create a router instance.
+2. We create the database tables using `models.Base.metadata.create_all(bind=engine)`.
+3. We define a dependency function `get_db()` that creates a new database session and yields it for use in the endpoint function. The session is closed after the function returns.
+4. We define the endpoint function `create_countries()` that takes a list of `CountryCreate` Pydantic models as input and returns a list of `Country` Pydantic models.
+5. Inside the endpoint function, we iterate over the input `countries` list and create a new `Country` model instance for each country data.
+6. We add the new `Country` instance to the database session using `db.add(db_country)`.
+7. We commit the changes to the database using `db.commit()`.
+8. We refresh the `db_country` instance with the data from the database using `db.refresh(db_country)`.
+9. We append the refreshed `db_country` instance to the `db_countries` list.
+10. Finally, we return the `db_countries` list.
+
+Here are the SQLAlchemy model and Pydantic schemas used in the example:
+
+```python
+from sqlalchemy import Column, Integer, String
+from sqlalchemy.orm import declarative_base
+from pydantic import BaseModel
+
+from app.api.models.countries_model import *
+from app.api.schemas.countries_schema import *
+from app.api.dependencies.countries_deps import *
+Base = declarative_base()
+
+    class Config:
+        orm_mode = True
+```
+
+In this example, we define an SQLAlchemy model `Country` with columns for `id`, `name`, and `capital`. We also define two Pydantic models: `CountryCreate` for creating new countries, and `Country` for representing existing countries in the database.
+
+Note that the `Country` Pydantic model has an `orm_mode` configuration set to `True`, which allows Pydantic to automatically convert SQLAlchemy model instances to Pydantic model instances and vice versa.