postExample notes - EmmieBu/projects GitHub Wiki

1. Project Setup
Set up the project structure: Organize your codebase with directories for server, parsing, database, and front-end code.
Install necessary dependencies: Ensure you have all the required libraries and tools installed, such as Gonic (Gin Gonic for server), MongoDB drivers, and front-end libraries like Tabulator.
2. Reading and Parsing the Text File
File Input: Implement functionality to read the text file. Ensure error handling is in place to manage file access issues.
Parsing Logic: Write a parser that processes the text data. Depending on the file format, this could involve splitting lines, extracting relevant data fields, and structuring them logically.
Validation: Incorporate validation to ensure that the parsed data conforms to the expected structure or format.
3. Transforming Data to JSON Structure
Data Mapping: Map the parsed data to a structured format, typically using Go structs.
Serialization: Convert the structured data into a JSON format that can be easily stored and later retrieved.
4. Saving Data to MongoDB
Database Connection: Set up a connection to your MongoDB instance.
Data Insertion: Implement the logic to insert the JSON data into MongoDB. Ensure proper handling of potential errors such as connection failures or insertion errors.
Indexing: Consider creating indexes on MongoDB to optimize query performance, especially if the dataset is large or if the application will require frequent queries.
5. Spinning Up the Gin Gonic Server
Server Setup: Configure the Gin Gonic server to handle HTTP requests. Set up routes for your API endpoints, such as endpoints for retrieving data from MongoDB.
Endpoint Design: Create RESTful API endpoints that the front-end can call to retrieve the data from MongoDB.
Middleware: Implement any necessary middleware, such as logging, authentication (if required), or CORS handling.
6. Front-End Development
Tabulator Integration: Use Tabulator to display the data in a table format on the front end. Ensure the table is set up to handle dynamic data fetched from the server.
API Integration: Fetch data from the Gin Gonic API and populate the Tabulator table.
UI/UX Considerations: Implement pagination, sorting, and filtering on the Tabulator table to improve user experience, especially for large datasets.
7. Testing and Debugging
Unit Testing: Write unit tests for each component, including file reading, parsing logic, JSON conversion, MongoDB interactions, and server endpoints.
Integration Testing: Ensure that all components work together smoothly, from reading the file to displaying data on the front end.
Error Handling: Implement robust error handling and logging throughout the project to make debugging easier and to ensure reliability.
8. Deployment
Dockerization: Consider using Docker to containerize your application, making it easier to deploy.
Environment Configuration: Set up different environments (development, staging, production) with appropriate configurations for MongoDB, server ports, etc.
Continuous Integration/Deployment (CI/CD): Set up CI/CD pipelines to automate testing, building, and deployment processes.
9. Documentation
Code Documentation: Ensure that your code is well-documented, with comments explaining the purpose and functionality of each major section.
README: Create a README file that explains how to set up, run, and test the project.
API Documentation: Document your API endpoints and their expected inputs/outputs, making it easier for future developers or users to interact with your system.
10. Security Considerations
Data Sanitization: Ensure that data inputs, especially from files, are sanitized to prevent injection attacks or corruption.
Authentication/Authorization: If the project is meant for production, consider implementing authentication to protect the API endpoints.
Secure Connection: Use HTTPS for secure communication between the server and front-end.
Summary
Incorporating these high-level steps will help ensure your project is well-organized, efficient, and secure, with clear documentation and testing in place. Each of these steps can be expanded with more detail based on the specific requirements and complexity of your project.

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Step 1: Parsing the Data
1.1. Define the Structure of the Data
We’ll start by defining a Go struct to hold each action’s data. Since each line in the file represents a specific piece of data, we can create a struct like this…