178 lines
		
	
	
		
			6.7 KiB
		
	
	
	
		
			TypeScript
		
	
	
	
	
	
			
		
		
	
	
			178 lines
		
	
	
		
			6.7 KiB
		
	
	
	
		
			TypeScript
		
	
	
	
	
	
import * as plugins from './plugins.js';
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import * as paths from './paths.js';
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import { logger } from './logging.js';
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import { TypeDoc } from './classes.typedoc.js';
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import { AiDoc } from './classes.aidoc.js';
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import * as context from './context/index.js';
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export const run = async () => {
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  const tsdocCli = new plugins.smartcli.Smartcli();
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  tsdocCli.standardCommand().subscribe(async (argvArg) => {
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    logger.log('warn', `Auto detecting environment!`);
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    switch (true) {
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      case await TypeDoc.isTypeDocDir(paths.cwd):
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        logger.log('ok', `Detected TypeDoc compliant directory at ${paths.cwd}`);
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        tsdocCli.triggerCommand('typedoc', argvArg);
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        break;
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      default:
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        logger.log('error', `Cannot determine docs format at ${paths.cwd}`);
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    }
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  });
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  tsdocCli.addCommand('typedoc').subscribe(async (argvArg) => {
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    const typeDocInstance = new TypeDoc(paths.cwd);
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    await typeDocInstance.compile({
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      publicSubdir: argvArg.publicSubdir,
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    });
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  });
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  tsdocCli.addCommand('aidoc').subscribe(async (argvArg) => {
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    const aidocInstance = new AiDoc();
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    await aidocInstance.start();
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    // Get context token count if requested
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    if (argvArg.tokens || argvArg.showTokens) {
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      logger.log('info', `Calculating context token count...`);
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      const tokenCount = await aidocInstance.getProjectContextTokenCount(paths.cwd);
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      logger.log('ok', `Total context token count: ${tokenCount}`);
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      if (argvArg.tokensOnly) {
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        return; // Exit early if we only want token count
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      }
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    }
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    logger.log('info', `Generating new readme...`);
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    logger.log('info', `This may take some time...`);
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    await aidocInstance.buildReadme(paths.cwd);
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    logger.log('info', `Generating new keywords...`);
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    logger.log('info', `This may take some time...`);
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    await aidocInstance.buildDescription(paths.cwd);
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  });
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  tsdocCli.addCommand('tokens').subscribe(async (argvArg) => {
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    const aidocInstance = new AiDoc();
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    await aidocInstance.start();
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    logger.log('info', `Calculating context token count...`);
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    // Determine context mode based on args
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    let contextMode: context.ContextMode = 'full';
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    if (argvArg.trim || argvArg.trimmed) {
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      contextMode = 'trimmed';
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    } else if (argvArg.summarize || argvArg.summarized) {
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      contextMode = 'summarized';
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    }
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    // Get task type if specified
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    let taskType: context.TaskType | undefined = undefined;
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    if (argvArg.task) {
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      if (['readme', 'commit', 'description'].includes(argvArg.task)) {
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        taskType = argvArg.task as context.TaskType;
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      } else {
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        logger.log('warn', `Unknown task type: ${argvArg.task}. Using default context.`);
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      }
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    }
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    // Use enhanced context
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    const taskFactory = new context.TaskContextFactory(paths.cwd);
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    await taskFactory.initialize();
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    let contextResult: context.IContextResult;
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    if (argvArg.all) {
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      // Show stats for all task types
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      const stats = await taskFactory.getTokenStats();
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      logger.log('ok', 'Token statistics by task:');
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      for (const [task, data] of Object.entries(stats)) {
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        logger.log('info', `\n${task.toUpperCase()}:`);
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        logger.log('info', `  Tokens: ${data.tokenCount}`);
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        logger.log('info', `  Token savings: ${data.savings}`);
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        logger.log('info', `  Files: ${data.includedFiles} included, ${data.trimmedFiles} trimmed, ${data.excludedFiles} excluded`);
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        // Calculate percentage of model context
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        const o4MiniPercentage = (data.tokenCount / 200000 * 100).toFixed(2);
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        logger.log('info', `  Context usage: ${o4MiniPercentage}% of o4-mini (200K tokens)`);
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      }
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      return;
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    }
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    if (taskType) {
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      // Get context for specific task
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      contextResult = await taskFactory.createContextForTask(taskType);
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    } else {
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      // Get generic context with specified mode
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      const enhancedContext = new context.EnhancedContext(paths.cwd);
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      await enhancedContext.initialize();
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      enhancedContext.setContextMode(contextMode);
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      if (argvArg.maxTokens) {
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        enhancedContext.setTokenBudget(parseInt(argvArg.maxTokens, 10));
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      }
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      contextResult = await enhancedContext.buildContext();
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    }
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    // Display results
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    logger.log('ok', `Total context token count: ${contextResult.tokenCount}`);
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    logger.log('info', `Files included: ${contextResult.includedFiles.length}`);
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    logger.log('info', `Files trimmed: ${contextResult.trimmedFiles.length}`);
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    logger.log('info', `Files excluded: ${contextResult.excludedFiles.length}`);
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    logger.log('info', `Token savings: ${contextResult.tokenSavings}`);
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    if (argvArg.detailed) {
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      // Show more detailed info about the context and token usage
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      const o4MiniPercentage = (contextResult.tokenCount / 200000 * 100).toFixed(2);
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      logger.log('info', `Token usage: ${o4MiniPercentage}% of o4-mini 200K token context window`);
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      if (argvArg.model) {
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        // Show percentages for different models
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        if (argvArg.model === 'gpt4') {
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          const gpt4Percentage = (contextResult.tokenCount / 8192 * 100).toFixed(2);
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          logger.log('info', `Token usage (GPT-4): ${gpt4Percentage}% of 8192 token context window`);
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        } else if (argvArg.model === 'gpt35') {
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          const gpt35Percentage = (contextResult.tokenCount / 4096 * 100).toFixed(2);
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          logger.log('info', `Token usage (GPT-3.5): ${gpt35Percentage}% of 4096 token context window`);
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        }
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      }
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      // Estimate cost (approximate values)
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      const o4MiniInputCost = 0.00005; // per 1K tokens for o4-mini
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      const estimatedCost = (contextResult.tokenCount / 1000 * o4MiniInputCost).toFixed(6);
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      logger.log('info', `Estimated input cost: $${estimatedCost} (o4-mini)`);
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      if (argvArg.listFiles) {
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        // List files included in context
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        logger.log('info', '\nIncluded files:');
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        contextResult.includedFiles.forEach(file => {
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          logger.log('info', `  ${file.relativePath} (${file.tokenCount} tokens)`);
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        });
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        logger.log('info', '\nTrimmed files:');
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        contextResult.trimmedFiles.forEach(file => {
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          logger.log('info', `  ${file.relativePath} (${file.tokenCount} tokens)`);
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        });
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        if (contextResult.excludedFiles.length > 0) {
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          logger.log('info', '\nExcluded files:');
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          contextResult.excludedFiles.forEach(file => {
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            logger.log('info', `  ${file.relativePath} (${file.tokenCount} tokens)`);
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          });
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        }
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      }
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    }
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  });
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  tsdocCli.addCommand('test').subscribe((argvArg) => {
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    tsdocCli.triggerCommand('typedoc', argvArg);
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    process.on('exit', async () => {
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      await plugins.smartfile.fs.remove(paths.publicDir);
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    });
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  });
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  tsdocCli.startParse();
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};
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