Tracking Feature Progress and Status in Lovable

 
Creating the Feature Tracker File
 

• Create a new file in your Lovable project named featureTracker.js. This file will contain the code to track the completion status of individual features.
• Paste the following code into featureTracker.js. This code sets up a simple system where each feature starts as incomplete and can be marked as complete:

• 
  /_ featureTracker.js _/
  /_ This file manages feature tracking in Lovable _/
  
  var featureStatus = {};
  /* Initialize your feature list.
     Each feature starts as false (not complete).
     Example: ['login', 'profile', 'dashboard'] */
  function initializeFeatures(features) {
      features.forEach(function(feature) {
          featureStatus[feature] = false;
      });
  }
  /_ Mark a specific feature as complete _/
  function markFeatureComplete(feature) {
      if (featureStatus.hasOwnProperty(feature)) {
          featureStatus[feature] = true;
          console.log("Feature", feature, "marked as complete.");
      } else {
          console.log("Feature", feature, "is not initialized.");
      }
  }
  /_ Check if a feature is complete _/
  function isFeatureComplete(feature) {
      return featureStatus.hasOwnProperty(feature) ? featureStatus[feature] : false;
  }
  /* The following block allows the functions to be used as modules,
     if your setup supports this. Otherwise, they will be available globally. */
  if (typeof module !== 'undefined' && module.exports) {
      module.exports = {
          initializeFeatures: initializeFeatures,
          markFeatureComplete: markFeatureComplete,
          isFeatureComplete: isFeatureComplete
      };
  }
        

  
  

 
Integrating the Feature Tracker into Your Main Code
 

• Locate your main Lovable code file. This might be named index.js or similar.
• At the beginning of this file, include the feature tracker. Since Lovable does not have a terminal, we assume that all code files are simply loaded by the system. If your environment supports modules, you can attempt to require the tracker; if not, it will be loaded automatically using a script tag. Insert the following code snippet at the top of your main file:

• 
  // index.js - Main file for Lovable
  
  // If module loading is supported, load featureTracker
  if (typeof require !== 'undefined') {
      var featureTracker = require('./featureTracker.js');
  } else {
      // If not, assume featureTracker is already loaded via a script tag.
      // In this case, the functions initializeFeatures, markFeatureComplete, and isFeatureComplete are available globally.
      var featureTracker = {
          initializeFeatures: initializeFeatures,
          markFeatureComplete: markFeatureComplete,
          isFeatureComplete: isFeatureComplete
      };
  }
  // Set up the features you want to track.
  // For example, you might be tracking the 'login', 'profile', and 'dashboard' features.
  featureTracker.initializeFeatures(['login', 'profile', 'dashboard']);
  // Example usage: When the login feature is completed, mark it as complete.
  featureTracker.markFeatureComplete('login');
  // Check the status of a feature and log it.
  if (featureTracker.isFeatureComplete('login')) {
      console.log("Login feature is complete.");
  } else {
      console.log("Login feature is pending.");
  }
        

  
  

 
Updating Your HTML to Include the Scripts
 

• If Lovable is a web-based application, open your main HTML file.
• Ensure that both featureTracker.js and your main code file (such as index.js) are loaded by your HTML. Add the following code snippet just before the closing </body> tag:

• 
  
  
  
      
  
  
      
  
  <!-- Include featureTracker so its functions are available globally -->
  <script src="featureTracker.js"></script>
  <!-- Include your main code that uses featureTracker -->
  <script src="index.js"></script>
  
  
  
        

 
Installing External Dependencies Without a Terminal
 

• If you need an external dependency (for instance, a library from a CDN) and Lovable doesn't offer a terminal, you can include the dependency directly in your HTML file.
• For example, to load the Lodash library, add the following code snippet in the <head> section of your HTML file:
• This method eliminates the need for a terminal installation command by directly linking the required script.

 
Creating a Progress Tracker Module
 

• In your Lovable code editor, create a new file named progress\_tracker.py. This file will contain functions to log the progress of your features.
• Copy and paste the following code into progress\_tracker.py. This code uses Python’s built-in logging module so no extra installations are required:

  
  import logging
  
  Configure logging to write progress updates to a file named "progress.log"
  logging.basicConfig(
      filename='progress.log',
      level=logging.INFO,
      format='%(asctime)s - %(levelname)s - %(message)s'
  )
  def log_progress(feature, status):
      """
      Log the current status of a feature.
      :param feature: The name of the feature.
      :param status: The status message (e.g., "initialized", "completed", "error").
      """
      logging.info(f"Feature '{feature}' status: {status}")
      

  
  


• This file will serve as the central place to track which parts of your project are updated or in progress. You can call log_progress() from anywhere in your code.

 
Setting Up a Feature Flags File
 

• Create a new file named feature\_flags.json in your project’s root directory. This JSON file will keep track of which features are currently enabled or disabled.
• Insert the following code into the file. It acts as a simple toggle system for your project’s features:

  
  {
      "new\_dashboard": true,
      "beta\_feature": false,
      "advanced\_tracking": true
  }
      

• This setup allows you to modify feature states directly by editing this file, making it easier to control which parts of your application are active.

 
Integrating Feature Flags in Your Main Code
 

• Open your main code file (for example, main.py) where your application starts running.
• Add the following code snippet after your import statements to load the feature flags from feature\_flags.json:

  
  import json
  
  def load_feature_flags():
      """
      Read the feature flags from 'feature_flags.json' and return them as a dictionary.
      """
      with open('feature_flags.json', 'r') as file:
          return json.load(file)
  Load the current feature flags into a global variable.
  feature_flags = load_feature_flags()
  Example of checking whether a feature is enabled.
  if feature_flags.get("new_dashboard"):
      print("New Dashboard is enabled.")
      

  
  


• This snippet ensures that your application only executes code for features that are currently enabled. Place it near the top of your file, after importing modules but before defining or calling feature-specific functions.

 
Tracking Feature Usage Throughout Your Code
 

• Wherever a feature is initialized, accessed, or completed in your code, call the log_progress function from progress_tracker.py to record its status. This will help you trace the progress of feature development and usage.
• For example, add the following snippet in your feature-related functions to track user interactions or internal state changes:

  
  Import the log\_progress function at the top of your main file
  from progress_tracker import log_progress
  
  def access_feature(feature_name):
      # Simulate accessing a feature
      print(f"Accessing feature: {feature_name}")
      # Log that the feature was accessed
      log_progress(feature_name, "accessed")
  Example usage of the feature access function
  access_feature("new_dashboard")
      

  
  


• Make sure to insert these logging calls at logical points in your code where feature state changes occur, such as inside functions that handle user actions or process data.

 
Ensuring Compatibility Without a Terminal
 

• Since Lovable does not have a terminal for installing dependencies, leverage Python’s built-in modules (like logging and json) as shown above.
• If future enhancements require third-party libraries, integrate a check or message in your code that warns users if the dependency is missing, or include an inline installer pattern (for example, by using code that downloads the library at runtime if not present). For now, using built-in modules ensures smooth operation without additional installations.
• This strategy makes your project more self-contained and easier to manage, even without terminal access.