Fixing Inconsistent Output from Lovable’s AI Code Generation

• Open your main Lovable code file. At the very beginning of the file (before any other code), insert the following snippet. This code sets fixed seeds for Python’s random generators to keep outputs consistent:

  
  import random
  import numpy as np
  
  Set random seeds for reproducibility
  random.seed(12345)
  np.random.seed(12345)
      

  
  


• 
  This ensures that any part of the system using randomness starts with a predictable state.
  

 
Configuring Output Parameters for Consistency
 

• In the same main code file, locate the section where output parameters for Lovable are defined. If there isn’t one, create it after setting the seeds.
• Insert the following snippet. It configures the output generator by setting parameters such as temperature and maximum tokens for a more controlled, consistent output.

  
  Configuration for Lovable's output consistency
  config = {
      "temperature": 0.2,  // Lower temperature leads to less randomness
      "max\_tokens": 100,   // Limits the output length for consistency
      "seed": 12345        // Reaffirm the seed value here
  }
      

• Adjust the values as needed, but keeping the seed and a low temperature is the key for consistency.

 
Creating a Separate Configuration File
 

• In your Lovable project, create a new file called lovable\_config.py. Place this file in the same directory as your main file.
• Add the following snippet to this file. This keeps all configuration options in one place:

  
  lovable\_config.py
  
  Configurable parameters for Lovable to maintain consistent output
  TEMPERATURE = 0.2
  MAX_TOKENS = 100
  SEED = 12345
      

  
  


• 
  In your main code file, import these settings at the top with a line like:
  

  
  from lovable_config import TEMPERATURE, MAX_TOKENS, SEED
      

  
  

 
Implementing a Caching Mechanism
 

• To further reinforce consistency, cache the generated outputs. In your main file, add the following function after your configuration section:

  
  import json
  
  def cache_output(key, output):
      # Append the output to a local cache file named 'cache.json'
      with open("cache.json", "a") as cache_file:
          cache_file.write(json.dumps({key: output}) + "\n")
      

  
  


• 
  Whenever Lovable generates an output, call cache_output with an appropriate key to store the result.
  

 
Integrating All Changes for Consistent Output
 

• Confirm that your main code file now starts by setting seeds, importing configuration from lovable\_config.py, and defining the caching function.
• When calling the function or module that generates output, ensure you pass or use the config values. For example:

  
  Example function call using the configuration settings
  output = generate_output(temperature=config["temperature"], max_tokens=config["max\_tokens"], seed=config["seed"])
  cache_output("latest_output", output)
      

• Replace generate\_output with your actual function or command that produces the Lovable output.
• These structured changes help maintain a controlled environment where every run behaves in a similar manner, yielding consistent output.

• Create a new file named lovable.config.json in your project’s root directory. This file will store key settings for ensuring consistent output.
• Paste the following code into lovable.config.json:

  
  {
    "outputFormat": "standard",
    "retryAttempts": 3,
    "logLevel": "info"
  }
      

• This configuration file sets default values such as the output format, how many times the system should try to generate a consistent output if something goes wrong, and the logging level.

 
Implementing Consistent Output Functions
 

• In your main code file (for example, main.js), create a function that reads the settings from lovable.config.json and produces the desired output.
• Insert the following code snippet at the top of your main.js to load the configuration:

  
  function loadConfig() {
    // Since Lovable doesn't have a terminal, use built-in file reading methods
    var configContent = readFile("lovable.config.json"); // Assume readFile is a built-in function
    return JSON.parse(configContent);
  }
      

• Next, add a function that uses these settings to generate consistent output:

  
  function generateOutput(data) {
    var config = loadConfig();
    try {
      // Process data based on outputFormat setting
      var output = formatData(data, config.outputFormat);
      return output;
    } catch (error) {
      logError("Error generating output: " + error.message);
      // Retry mechanism for consistency
      for (var i = 0; i < config.retryAttempts; i++) {
        try {
          var output = formatData(data, config.outputFormat);
          return output;
        } catch (retryError) {
          logError("Retry " + (i+1) + " failed: " + retryError.message);
        }
      }
      return null;
    }
  }
      

• The generateOutput function calls formatData, which should be defined elsewhere in your code to apply the proper formatting based on your configuration.

 
Adding Logging for Troubleshooting
 

• Create a new file called logger.js in your project directory.
• Place the following logging function inside logger.js to help monitor activity and errors:

  
  function logInfo(message) {
    // Assume console.log is available in Lovable
    console.log("INFO: " + message);
  }
  
  function logError(message) {
    console.error("ERROR: " + message);
  }
      

  
  


• 
  In your main.js, add an import or include statement at the top so these functions are available. For example, if Lovable supports require, add:
  

  
  var logger = require("logger.js"); // Use this line if Lovable supports require syntax, otherwise ensure logger.js is loaded before main.js.
      

  
  

 
Using Middleware for Data Sanitization and Formatting
 

• Consistent output often depends on clean and formatted inputs. In main.js (or a separate file if preferred), add a middleware function to sanitize your data.
• Insert this snippet before the data is processed:

  
  function sanitizeData(data) {
    // Remove or replace unexpected characters and ensure data follows a standard structure
    var sanitized = data.trim();
    // Further sanitization logic can be added here
    return sanitized;
  }
  
  // Example usage within generateOutput:
  function formatData(data, formatType) {
    var cleanData = sanitizeData(data);
    // Format cleanData according to the specified format; this is a placeholder implementation.
    if (formatType === "standard") {
      return cleanData.toUpperCase();
    } else {
      return cleanData;
    }
  }
      

  
  


• 
  Making sure that data is sanitized minimizes unexpected behavior and contributes to output consistency.
  

 
Managing Dependencies Without a Terminal
 

• Since Lovable does not offer a terminal, any third-party code or modules need to be included manually. For example, if you require a helper library for advanced formatting, download the library file (e.g., advancedFormatter.js) and place it in your project’s designated folder (such as a libs folder).
• Then, in your main.js file, add an import statement at the beginning:

  
  var advancedFormatter = require("./libs/advancedFormatter.js");
      

• This ensures that all dependencies are explicitly loaded through code, bypassing the need for a terminal-based installation.