Guide to Enhancing Performance in Frappe/ERPNext

Best Practices for Reducing Database Calls

1. Use Cached Data

• Implement Caching: Utilize Frappe's built-in caching mechanisms (like frappe.cache or Redis) to store frequently accessed data.
• Example: Cache user preferences or frequently queried lists.

2. Batch Database Calls

• Combine Queries: Instead of making multiple database calls, combine them into a single query whenever possible.
• Example: Use frappe.get_all() to fetch multiple records in one go.

3. Utilize Client-Side Logic

• Client-Side Filtering: Load data once and filter or manipulate it on the client side using JavaScript.
• Example: Fetch all items and filter them based on user input, instead of querying the database for each input change.

4. Use DocType Methods

• Encapsulate Logic: Use DocType methods for common queries and logic. This helps centralize database interactions.
• Example: Create a method in your DocType to fetch related records, which can be reused across different parts of your application.

5. Optimize Queries

• Select Only Necessary Fields: Use the fields parameter in queries to fetch only the required data.
• Example: Instead of fetching all fields from a DocType, specify only the ones you need.

6. Leverage Frappe Hooks

• Utilize Hooks for Common Operations: Use hooks to execute common operations when certain events occur.
• Example: Automatically cache data or update related records without making extra calls.

7. Asynchronous Operations

• Background Jobs: Use Frappe's background job functionality (like frappe.enqueue) to offload long-running tasks and keep the UI responsive.
• Example: Process data in the background instead of making the user wait.

8. Pagination and Limits

• Paginate Data: Use pagination for large datasets to avoid overwhelming the database and the client.
• Example: Implement pagination in list views to load data in chunks.

9. Analyze and Monitor Performance

• Use Frappe's Built-in Tools: Utilize tools like frappe.get_trace() to identify slow queries and optimize them.
• Example: Regularly monitor logs for performance bottlenecks and address them proactively.

Code Reusability and Maintainability

1. Modular Code Structure

• Organize Code into Modules: Keep related functionalities together and separate different concerns.
• Example: Create a separate module for all API-related functions.

2. Documentation and Comments

• Document Code: Write clear documentation and comments to explain complex logic or decisions.
• Example: Use docstrings to describe function purposes, parameters, and return values.

3. Use Configurations

• Centralize Configurations: Use a configuration file or DocType to manage constants and settings.
• Example: Store API endpoint URLs or feature flags in a centralized configuration.

4. Follow Naming Conventions

• Consistent Naming: Use clear and consistent naming conventions for functions and variables to improve readability.
• Example: Use get_user_data() instead of vague names like fetch().

5. Unit Testing

• Implement Tests: Create unit tests for critical functions and database interactions to ensure reliability.
• Example: Use Frappe's testing framework to write tests for your DocType methods.