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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.
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.
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.
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.
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/
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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