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Adds environment variable check for proper loading, introduces Department and Employee classes with attributes, updates employee-related functions with function descriptions, and updates Django version to 4.2.7.
Commit Description: - Added a check to ensure proper loading of environment variables by checking the return value of the `load_dotenv` function - Raised an exception with an appropriate message if the environment variables are not loaded successfully - Added the Department class with a title attribute - Added the Employee class with attributes such as first name, last name, department, and birthdate - Updated existing employee-related functions including "get_all_emps_departwise", "get_all_emps_departwise_async", "get_all_details", and "get_all_details_async" - Added function descriptions to improve code readability and documentation - Removed unused functions - Updated Django version from 4.2.6 to 4.2.7 - Made necessary additions and deletions in the requirements file.
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apidemo/apidemo/settings.py

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# dotenv_path argument in load_dotenv
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load_environ = load_dotenv(encoding="utf-8", override=True,interpolate=True)
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# The code `if not load_environ: raise "Environment Variables not loaded!"` is checking if the
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# environment variables were successfully loaded using the `load_dotenv` function. If the
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# `load_dotenv` function returns `False`, it means that the environment variables were not loaded
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# properly from the `.env` file. In this case, the code raises an exception with the message
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# "Environment Variables not loaded!". This is done to ensure that the application does not continue
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# running without the necessary environment variables.
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if not load_environ:
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raise "Environment Variables not loaded!"
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apidemo/test_app/models.py

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from django.db import models
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# Create your models here.
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# The Department class is a model that represents a department with a title attribute.
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class Department(models.Model):
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title = models.CharField(max_length=100)
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# The Employee class represents an employee with attributes such as first name, last name, department,
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# and birthdate.
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class Employee(models.Model):
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first_name = models.CharField(max_length=100)
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last_name = models.CharField(max_length=100)

apidemo/test_app/views.py

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@@ -44,38 +44,104 @@ class DeptOut(Schema):
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@api_v1.get("/add")
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def add(request, a: int, b: int) -> dict[str, int]:
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"""
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The function "add" takes two integer inputs and returns a dictionary with the sum of the inputs.
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:param request: The `request` parameter is typically used to handle HTTP requests in web
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applications. It can contain information about the incoming request, such as headers, cookies, and
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query parameters. In this specific function, the `request` parameter is not used, so it can be
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ignored
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:param a: An integer representing the first number to be added
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:type a: int
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:param b: The parameter "b" is an integer that represents the second number to be added
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:type b: int
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:return: A dictionary with a single key-value pair is being returned. The key is "result" and the
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value is the sum of the two input integers, a and b.
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"""
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return {"result": a + b}
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@api_v1.post("/employees")
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def create_employee(request, payload: EmployeeIn):
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"""
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The function creates a new employee object using the provided payload and returns the ID of the
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created employee.
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:param request: The `request` parameter is an object that represents the HTTP request made to the
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server. It contains information such as the request method (GET, POST, etc.), headers, and query
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parameters
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:param payload: The payload parameter is of type EmployeeIn, which is likely a data model or class
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representing the data needed to create a new employee. It is expected to have attributes or fields
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that match the fields of the Employee model, such as name, age, email, etc. The payload parameter is
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used to
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:type payload: EmployeeIn
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:return: a dictionary with the key "id" and the value being the id of the created employee.
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"""
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employee = Employee.objects.create(**payload.dict())
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return {"id": employee.id}
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@api_v1.get("/departments", response=List[DeptOut])
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def get_all_emps_departwise(request):
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def get_all_emps_depart_wise(request):
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"""
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The function "get_all_emps_depart_wise" returns all departments ordered by title.
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:param request: The `request` parameter is typically an HTTP request object that contains
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information about the current request being made by the user. It can include details such as the
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user's IP address, the requested URL, any submitted form data, and more. In this case, it seems that
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the `request` parameter
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:return: a queryset of all departments ordered by their title.
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"""
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depts = Department.objects.all().order_by("title")
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return depts
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@api_v2.get("/departments", response=List[DeptOut])
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async def get_all_emps_departwise_async(request):
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async def get_all_employees_departmentwise_async(request):
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"""
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The function retrieves all employees grouped by department asynchronously.
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:param request: The `request` parameter is likely an HTTP request object that is passed to the
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function. It could contain information about the client's request, such as headers, query
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parameters, and request body. However, in the given code snippet, the `request` parameter is not
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used, so it may not
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:return: a list of all the Department objects, ordered by their title.
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"""
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depts = Department.objects.all().order_by("title")
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await sync_to_async(list)(depts)
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return depts
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@api_v1.get("/emp_dept", response=List[EmployeeOut])
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def get_all_details(request):
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def fetch_all_details(request):
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"""
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The function "fetch_all_details" retrieves all details of employees including their ID, first name,
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last name, department title, and birthdate.
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:param request: The `request` parameter is typically used in Django views to represent an HTTP
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request made by a client. It contains information about the request, such as the method (GET, POST,
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etc.), headers, and any data sent with the request. However, in the given code snippet, the `request
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:return: a queryset containing the details of all employees. The details include the employee's ID,
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first name, last name, department title, and birthdate.
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"""
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qs = Employee.objects.all().values(
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"id", "first_name", "last_name", "department__title", "birthdate"
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)
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return qs
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@api_v2.get("/emp_dept", response=List[EmployeeOut])
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async def get_all_details_async(request):
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async def fetch_all_details_async(request):
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"""
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The function retrieves all details of employees asynchronously and returns them as a queryset.
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:param request: The `request` parameter is the HTTP request object that is passed to the view
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function. It contains information about the current request, such as the request method, headers,
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and query parameters. In this case, it is not being used in the function, so it can be removed if
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not needed
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:return: a queryset of Employee objects with the following fields: "id", "first_name", "last_name",
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"department__title", and "birthdate".
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"""
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qs = Employee.objects.all().values(
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"id", "first_name", "last_name", "department__title", "birthdate"
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)
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@api_v1.put("/employees/{employee_id}")
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def update_employee(request, employee_id: int, payload: EmployeeIn):
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"""
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The function updates an employee's information based on the provided payload.
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:param request: The `request` parameter is an object that represents the HTTP request made to the
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server. It contains information about the request, such as the headers, body, and query parameters
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:param employee_id: The employee_id parameter is an integer that represents the unique identifier of
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the employee you want to update
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:type employee_id: int
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:param payload: The `payload` parameter is an instance of the `EmployeeIn` class. It represents the
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data that will be used to update the employee
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:type payload: EmployeeIn
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:return: a dictionary with a single key-value pair. The key is "success" and the value is True.
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"""
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employee = get_object_or_404(Employee, id=employee_id)
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for attr, value in payload.dict().items():
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setattr(employee, attr, value)
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@api_v1.delete("/employees/{employee_id}")
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def delete_employee(request, employee_id: int):
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"""
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The `delete_employee` function deletes an employee with the given `employee_id` and returns a
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success message.
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:param request: The request object represents the HTTP request made by the client. It contains
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information such as the HTTP method (GET, POST, etc.), headers, and any data sent in the request
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:param employee_id: The `employee_id` parameter is an integer that represents the unique identifier
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of the employee that needs to be deleted
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:type employee_id: int
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:return: a dictionary with a key "success" and a value of True.
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"""
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employee = get_object_or_404(Employee, id=employee_id)
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employee.delete()
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return {"success": True}

code_snippet_explanation.md

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### Level 1:
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This code is a part of a web application that deals with departments and employees. It defines two methods: `get_all_emps_departwise` and `get_all_emps_departwise_async`.
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The `get_all_emps_departwise` method returns a list of all departments ordered by their title. It uses the `Department` model to fetch all department objects from the database and orders them based on their title.
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The `get_all_emps_departwise_async` method also returns a list of all departments ordered by their title, but it does so asynchronously. This means that it can perform multiple tasks concurrently, improving the overall performance of the application. It uses the `sync_to_async` function to convert the synchronous operation of fetching department objects into an asynchronous operation.
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### Level 2:
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In this code, we have two methods `get_all_emps_departwise` and `get_all_emps_departwise_async` that are part of an API. These methods handle the request to retrieve all departments ordered by their title.
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The `get_all_emps_departwise` method is a synchronous method that fetches all department objects from the database using the `Department.objects.all()` queryset. It then orders the departments by their title using the `order_by` method. Finally, it returns the list of departments.
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The `get_all_emps_departwise_async` method is an asynchronous method that performs the same operation as `get_all_emps_departwise`, but in an asynchronous manner. It uses the `sync_to_async` function from the `asgiref` library to convert the synchronous operation of fetching department objects into an asynchronous operation. This allows the method to perform other tasks concurrently while waiting for the database query to complete. Once the departments are fetched, the method returns the list of departments.
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### Level 3:
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```python
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@api_v1.get("/departments", response=List[DeptOut])
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def get_all_emps_departwise(request):
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depts = Department.objects.all().order_by("title")
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return depts
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```
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The `get_all_emps_departwise` method is a synchronous method that handles the GET request to retrieve all departments. It uses the `Department.objects.all()` queryset to fetch all department objects from the database. The `order_by("title")` method is used to order the departments by their title. Finally, it returns the list of departments.
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```python
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@api_v2.get("/departments", response=List[DeptOut])
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async def get_all_emps_departwise_async(request):
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depts = Department.objects.all().order_by("title")
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await sync_to_async(list)(depts)
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return depts
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```
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The `get_all_emps_departwise_async` method is an asynchronous method that handles the GET request to retrieve all departments. It uses the `Department.objects.all()` queryset to fetch all department objects from the database. The `order_by("title")` method is used to order the departments by their title. The `sync_to_async` function is used to convert the synchronous operation of fetching department objects into an asynchronous operation. This allows the method to perform other tasks concurrently while waiting for the database query to complete. Finally, it returns the list of departments.

folder_structure_analysis.md

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# Folder Structure Analysis
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The folder structure of the project is as follows:
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- .github/
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- dependabot.yml
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- labeler.yml
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- workflows/
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- greetings.yml
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- label.yml
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- stale.yml
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- .gitignore
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- apidemo/
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- apidemo/
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- asgi.py
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- settings.py
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- urls.py
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- wsgi.py
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- __init__.py
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- db.sqlite3
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- manage.py
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- test_app/
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- admin.py
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- apps.py
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- migrations/
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- 0001_initial.py
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- __init__.py
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- models.py
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- tests.py
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- views.py
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- __init__.py
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- LICENSE
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- README.md
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- requirement.txt
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Let's analyze each folder and its purpose:
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## .github/
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This folder contains configuration files for GitHub actions and workflows. The files present are:
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- dependabot.yml: This file is used to configure Dependabot, a tool for automated dependency updates.
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- labeler.yml: This file is used to configure a labeler, which automatically adds labels to issues or pull requests based on specified rules.
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- workflows/: This folder contains workflow configuration files. The files present are:
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- greetings.yml: This file configures a workflow that sends greetings when someone opens an issue or pull request.
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- label.yml: This file configures a workflow that applies labels to issues or pull requests based on specified rules.
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- stale.yml: This file configures a workflow that closes stale issues or pull requests based on specified conditions.
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## .gitignore
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This file specifies the files and directories that should be ignored by Git version control. It helps to avoid including unnecessary files in the repository.
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## apidemo/
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This folder is the main directory of the project and contains the Django application. The files and directories present are:
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- apidemo/: This is the Django project directory. It contains the following files:
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- asgi.py: This file is the entry point for the ASGI (Asynchronous Server Gateway Interface) server.
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- settings.py: This file contains the Django project settings, including database configuration, middleware, installed apps, etc.
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- urls.py: This file defines the URL patterns for the project.
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- wsgi.py: This file is the entry point for the WSGI (Web Server Gateway Interface) server.
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- __init__.py: This file marks the directory as a Python package.
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- db.sqlite3: This file is the SQLite database file used by the Django application.
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- manage.py: This file is the Django project's command-line utility. It is used to perform various tasks, such as running the development server, applying migrations, etc.
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- test_app/: This directory contains the Django application code. The files present are:
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- admin.py: This file is used to register models with the Django admin site.
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- apps.py: This file is used to configure the Django application.
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- migrations/: This directory contains database migration files. The files present are:
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- 0001_initial.py: This file is the initial database migration file.
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- __init__.py: This file marks the directory as a Python package.
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- models.py: This file defines the database models for the application.
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- tests.py: This file contains test cases for the application.
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- views.py: This file contains the views (request handlers) for the application.
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- __init__.py: This file marks the directory as a Python package.
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## LICENSE
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This file contains the license information for the project. It specifies the terms and conditions under which the project is distributed.
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## README.md
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This file contains the project's documentation. It provides information about the project, its purpose, installation instructions, usage guidelines, etc.
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## requirement.txt
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This file lists the dependencies required by the project. It specifies the packages and their versions that need to be installed for the project to run properly.
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# Suggestions
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- It is good practice to keep the configuration files for GitHub actions and workflows in a separate folder like `.github`. This helps in organizing the project and keeping the root directory clean.
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- It would be beneficial to add more descriptive comments or documentation within the code files to provide better understanding and clarity for future developers working on the project.
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- Consider adding a `.env` file to store sensitive information like API keys, database credentials, etc., instead of hardcoding them in the code files. This enhances security and makes it easier to manage environment-specific configurations.
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- It is recommended to follow a consistent naming convention for files and directories to improve readability and maintainability of the project.
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- Regularly updating the `requirement.txt` file with the latest versions of dependencies can help ensure the project is using the most up-to-date and secure packages. Use pip list --o to get the outdated packages and upgrade them as needed provided latest versions don't break the functionality.
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Overall, the folder structure appears to be well-organized, with separate directories for the Django project, application code, configuration files, and documentation. This structure allows for a clear separation of concerns and easy navigation within the project.- .github/
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- dependabot.yml
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- labeler.yml
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- workflows/
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- greetings.yml
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- label.yml
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- stale.yml
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- .gitignore
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- apidemo/
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- apidemo/
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- asgi.py
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- settings.py
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- urls.py
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- wsgi.py
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- __init__.py
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- db.sqlite3
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- manage.py
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- test_app/
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- admin.py
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- apps.py
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- migrations/
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- 0001_initial.py
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- __init__.py
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- models.py
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- tests.py
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- views.py
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- __init__.py
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- LICENSE
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- README.md
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- requirement.txt

requirement.txt

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annotated-types==0.6.0
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asgiref==3.7.2
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colorama==0.4.6
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Django==4.2.6
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Django==4.2.7
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django-ninja==1.0b2
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orjson==3.9.10
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packaging==23.2

time_complexity.md

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Level 1: The time complexity of the given code is O(n), where n is the number of Department objects.
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Level 2: The code retrieves all employees grouped by department asynchronously, and the time complexity is determined by the number of Department objects. The code first retrieves all departments from the database and orders them by their title. Then, it converts the queryset to a list asynchronously using the `sync_to_async` function. Finally, it returns the list of departments.
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Level 3: The code retrieves all departments from the database using the `Department.objects.all()` method, which has a time complexity of O(n), where n is the number of Department objects. The retrieved departments are then ordered by their title using the `order_by("title")` method, which has a time complexity of O(n log n), as it performs a comparison-based sorting operation.
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The `sync_to_async` function is used to asynchronously convert the queryset to a list. This function is typically used when working with asynchronous frameworks like Django Channels or asyncio. It wraps a synchronous function or method and allows it to be called asynchronously. In this case, it wraps the `list` function to convert the queryset to a list asynchronously.
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The final step is to return the list of departments, which has a time complexity of O(1), as it simply returns the list.
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Overall, the time complexity of the code is dominated by the retrieval and ordering of the Department objects, resulting in a time complexity of O(n log n).

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