separate schemas from model

README.md

@@ -1,6 +1,8 @@
 # FastAPI and MongoDB Boilerplate
 
-A simple starter for building RESTful APIs with FastAPI and MongoDB. 
+A simple starter for building RESTful APIs with FastAPI and MongoDB.
+
+![image](./img.jpg)
 
 ## Features
 
@@ -34,13 +36,13 @@ $ python3 -m venv venv
 4. Start the application:
 
 ```console
-python main.py
+python3 main.py
 ```
 
 
 The starter listens on port 8000 on address [0.0.0.0](0.0.0.0:8080). 
 
-![FastAPI-MongoDB starter](https://user-images.githubusercontent.com/31009679/165318867-4a0504d5-1fd0-4adc-8df9-db2ff3c0c3b9.png)
+![FastAPI-MongoDB starter](doc.png)
 
 
 ## Testing

config/config.py

@@ -16,7 +16,7 @@ class Settings(BaseSettings):
 
     class Config:
         env_file = ".env.dev"
-        orm_mode = True
+        from_attributes = True
 
 
 async def initiate_database():

models/student.py

@@ -24,42 +24,3 @@ class Config:
 
     class Settings:
         name = "student"
-
-
-class UpdateStudentModel(BaseModel):
-    fullname: Optional[str]
-    email: Optional[EmailStr]
-    course_of_study: Optional[str]
-    year: Optional[int]
-    gpa: Optional[float]
-
-    class Collection:
-        name = "student"
-
-    class Config:
-        schema_extra = {
-            "example": {
-                "fullname": "Abdulazeez Abdulazeez",
-                "email": "abdul@school.com",
-                "course_of_study": "Water resources and environmental engineering",
-                "year": 4,
-                "gpa": "5.0",
-            }
-        }
-
-
-class Response(BaseModel):
-    status_code: int
-    response_type: str
-    description: str
-    data: Optional[Any]
-
-    class Config:
-        schema_extra = {
-            "example": {
-                "status_code": 200,
-                "response_type": "success",
-                "description": "Operation successful",
-                "data": "Sample data",
-            }
-        }

routes/student.py

@@ -1,7 +1,9 @@
 from fastapi import APIRouter, Body
 
 from database.database import *
-from models.student import *
+from models.student import Student
+from schemas.student import Response, UpdateStudentModel
+
 
 router = APIRouter()
 
@@ -17,9 +19,7 @@ async def get_students():
     }
 
 
-@router.get(
-    "/{id}", response_description="Student data retrieved", response_model=Response
-)
+@router.get("/{id}", response_description="Student data retrieved", response_model=Response)
 async def get_student_data(id: PydanticObjectId):
     student = await retrieve_student(id)
     if student:

schemas/admin.py

@@ -4,7 +4,7 @@
 
 class AdminSignIn(HTTPBasicCredentials):
     class Config:
-        schema_extra = {
+        json_schema_extra = {
             "example": {"username": "abdul@youngest.dev", "password": "3xt3m#"}
         }
 
@@ -14,9 +14,9 @@ class AdminData(BaseModel):
     email: EmailStr
 
     class Config:
-        schema_extra = {
+        json_schema_extra = {
             "example": {
                 "fullname": "Abdulazeez Abdulazeez Adeshina",
                 "email": "abdul@youngest.dev",
             }
-        }
+        }

schemas/student.py

@@ -0,0 +1,39 @@
+from pydantic import BaseModel, EmailStr
+from typing import Optional, Any
+
+class UpdateStudentModel(BaseModel):
+    fullname: Optional[str]
+    email: Optional[EmailStr]
+    course_of_study: Optional[str]
+    year: Optional[int]
+    gpa: Optional[float]
+
+    class Collection:
+        name = "student"
+
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "fullname": "Abdulazeez Abdulazeez",
+                "email": "abdul@school.com",
+                "course_of_study": "Water resources and environmental engineering",
+                "year": 4,
+                "gpa": "5.0",
+            }
+        }
+
+class Response(BaseModel):
+    status_code: int
+    response_type: str
+    description: str
+    data: Optional[Any]
+
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "status_code": 200,
+                "response_type": "success",
+                "description": "Operation successful",
+                "data": "Sample data",
+            }
+        }