"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.main = main;
const options_1 = require("./options");
const prompts_1 = require("./prompts");
const bot_1 = require("./bot");
const local_context_1 = require("./local-context");
const console_reporter_1 = require("./console-reporter");
const child_process_1 = require("child_process");
const fs_1 = require("fs");
const HELP_TEXT = `
PRIX CLI - Local AI PR Reviewer

Usage:
  prix-cli [options]

Options:
  --staged              Review staged files (git diff --cached)
  --diff <ref>          Review files changed since given git ref
  --files <paths>       Review specific files (comma-separated)
  --model <name>        LLM model to use (default: llama-3.1-8b-instant)
  --min-confidence <n>  Minimum confidence threshold (0-100)
  --min-severity <lvl>  Minimum severity to report (critical|major|minor|info)
  --disable-review      Skip code review, only generate summary
  --disable-notes       Skip release notes generation
  --max-files <n>       Maximum files to review (0 = unlimited)
  --path-filters <p>    Path filters (comma-separated, e.g., "src/**,lib/**")
  --system-message <m>   Additional system message
  --language <lang>      Output language (default: en-US)
  --output <fmt>        Output format: console (default) or json
  --help, -h            Show this help message

Examples:
  prix-cli --staged                     Review staged changes
  prix-cli --diff HEAD~1                Review changes since last commit
  prix-cli --files src/app.ts,lib/util.ts   Review specific files
  prix-cli --min-severity major         Only show major/critical issues

Pre-commit Hook:
  Add to .git/hooks/pre-commit:
    npx prix-cli --staged --output console
`;
function parseArgs(argv) {
    const args = {};
    for (let i = 2; i < argv.length; i++) {
        const arg = argv[i];
        switch (arg) {
            case '--staged':
                args.staged = true;
                break;
            case '--diff':
                args.diff = argv[++i];
                break;
            case '--files':
                args.files = argv[++i].split(',');
                break;
            case '--model':
                args.model = argv[++i];
                break;
            case '--min-confidence':
                args.minConfidence = parseInt(argv[++i], 10);
                break;
            case '--min-severity':
                args.minSeverity = argv[++i];
                break;
            case '--disable-review':
                args.disableReview = true;
                break;
            case '--disable-notes':
                args.disableReleaseNotes = true;
                break;
            case '--max-files':
                args.maxFiles = parseInt(argv[++i], 10);
                break;
            case '--path-filters':
                args.pathFilters = argv[++i].split(',');
                break;
            case '--system-message':
                args.systemMessage = argv[++i];
                break;
            case '--language':
                args.language = argv[++i];
                break;
            case '--output':
                args.output = argv[++i];
                break;
            case '--help':
            case '-h':
                args.help = true;
                break;
        }
    }
    return args;
}
function getStagedFiles() {
    try {
        const output = (0, child_process_1.execSync)('git diff --cached --name-only', {
            encoding: 'utf8',
            cwd: process.cwd()
        });
        return output.split('\n').filter(f => f.trim());
    }
    catch (e) {
        console.error('Failed to get staged files:', e);
        return [];
    }
}
function getChangedFiles(sinceRef) {
    try {
        const output = (0, child_process_1.execSync)(`git diff --name-only ${sinceRef}`, {
            encoding: 'utf8',
            cwd: process.cwd()
        });
        return output.split('\n').filter(f => f.trim());
    }
    catch (e) {
        console.error(`Failed to get changed files since ${sinceRef}:`, e);
        return [];
    }
}
async function runLocalReview(args) {
    const info = console.log;
    const error = console.error;
    info('🔍 PRIX CLI - Starting local code review...\n');
    if (!process.env.GROQ_API_KEY && !process.env.AI_API_KEY) {
        error('❌ Error: GROQ_API_KEY or AI_API_KEY environment variable is required');
        return 1;
    }
    let filesToReview = [];
    if (args.staged) {
        filesToReview = getStagedFiles();
        info(`📋 Reviewing ${filesToReview.length} staged files\n`);
    }
    else if (args.diff) {
        filesToReview = getChangedFiles(args.diff);
        info(`📋 Reviewing ${filesToReview.length} files changed since ${args.diff}\n`);
    }
    else if (args.files) {
        filesToReview = args.files.filter(f => (0, fs_1.existsSync)(f));
        info(`📋 Reviewing ${filesToReview.length} specified files\n`);
    }
    else {
        error('❌ Error: Must specify --staged, --diff <ref>, or --files <paths>');
        return 1;
    }
    if (filesToReview.length === 0) {
        info('✅ No files to review');
        return 0;
    }
    const options = new options_1.Options(false, args.disableReview || false, args.disableReleaseNotes || false, args.maxFiles?.toString() || '0', false, false, args.pathFilters || null, args.systemMessage || '', args.model || 'llama-3.1-8b-instant', 'llama-3.3-70b-versatile', '0.0', '3', '120000', '6', '6', process.env.API_BASE_URL || 'https://api.groq.com/openai/v1', args.language || 'en-US', false, args.minSeverity || 'minor', args.minConfidence?.toString() || '0', 'false', 'true');
    const prompts = new prompts_1.Prompts();
    const localContext = new local_context_1.LocalContextEngine(filesToReview);
    const reporter = new console_reporter_1.LocalConsoleReporter();
    info('🤖 Initializing AI models...');
    let lightBot = null;
    let heavyBot = null;
    try {
        lightBot = new bot_1.Bot(options, new options_1.AIOptions(options.lightModel, options.lightTokenLimits, options.modelTemperature));
    }
    catch (e) {
        error(`❌ Failed to initialize light model: ${e}`);
        return 1;
    }
    try {
        heavyBot = new bot_1.Bot(options, new options_1.AIOptions(options.heavyModel, options.heavyTokenLimits, options.modelTemperature));
    }
    catch (e) {
        error(`❌ Failed to initialize heavy model: ${e}`);
        return 1;
    }
    info('✅ AI models initialized\n');
    try {
        await localContext.initialize();
        const findings = await localContext.runReview(lightBot, heavyBot, options, prompts);
        reporter.printFindings(findings, {
            output: args.output || 'console',
            minSeverity: options.minimumSeverity,
            minConfidence: options.minConfidence
        });
        const critical = findings.filter(f => f.severity === 'critical').length;
        const major = findings.filter(f => f.severity === 'major').length;
        info(`\n📊 Summary: ${critical} critical, ${major} major, ${findings.length} total findings`);
        if (critical > 0) {
            info('\n⚠️  Critical issues found! Consider fixing before committing.');
            return 1;
        }
        else if (major > 0) {
            info('\nℹ️  Major issues found. Review recommended before committing.');
            return 0;
        }
        else {
            info('\n✅ No significant issues found.');
            return 0;
        }
    }
    catch (e) {
        error(`\n❌ Review failed: ${e}`);
        return 1;
    }
}
async function main(argv) {
    const args = parseArgs(argv);
    if (args.help) {
        console.log(HELP_TEXT);
        return 0;
    }
    return runLocalReview(args);
}
if (require.main === module) {
    main(process.argv)
        .then(code => {
        process.exit(code);
    })
        .catch(e => {
        console.error('Fatal error:', e);
        process.exit(1);
    });
}
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