"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.AIOptions = exports.PathFilter = exports.Options = void 0;
const info = console.log;
const debug = process.env.LOG_LEVEL === 'debug' ? console.log.bind(console) : () => { };
const minimatch_1 = require("minimatch");
const limits_1 = require("./limits");
class Options {
    debug;
    disableReview;
    disableReleaseNotes;
    maxFiles;
    reviewSimpleChanges;
    reviewCommentLGTM;
    pathFilters;
    systemMessage;
    lightModel;
    heavyModel;
    modelTemperature;
    retries;
    timeoutMS;
    concurrencyLimit;
    githubConcurrencyLimit;
    lightTokenLimits;
    heavyTokenLimits;
    apiBaseUrl;
    language;
    createRemedyPR;
    enableAutoPR; // SECURITY: require explicit opt-in for auto PR creation
    strictMode; // When true, posts style/naming issues. When false, skips them to avoid "eslint bot syndrome"
    static FREE_TIER_MODELS = [
        'openai/gpt-oss-120b:free',
        'openai/gpt-oss-20b',
        'qwen/qwen3-235b-a22b-2507'
    ];
    // Primary model for paid tier: qwen for everything (review, autofix, plan)
    static PAID_PRIMARY_MODEL = 'qwen/qwen3-235b-a22b-2507';
    // Paid fallback if qwen fails
    static PAID_FALLBACK_MODEL = 'openai/gpt-oss-120b';
    static PAID_REVIEW_FALLBACKS = [
        'qwen/qwen3-235b-a22b-2507',
        'openai/gpt-oss-120b'
    ];
    static PAID_AUTOFIX_FALLBACKS = [
        'qwen/qwen3-235b-a22b-2507',
        'openai/gpt-oss-120b'
    ];
    static PAID_PLAN_FALLBACKS = [
        'qwen/qwen3-235b-a22b-2507',
        'openai/gpt-oss-120b'
    ];
    static selectReviewModel(totalLinesChanged) {
        return 'qwen/qwen3-235b-a22b-2507';
    }
    static HEAVY_MODELS = [
        'openai/gpt-oss-120b',
        'openai/gpt-oss-120b:free',
        'qwen/qwen3-235b-a22b-2507',
        'openai/gpt-oss-20b'
    ];
    static LIGHT_MODELS = [
        'llama-3.1-8b-instant',
        'groq/compound',
        'groq/compound-mini',
        'llama-3.2-11b-vision-preview'
    ];
    static SECURITY_MODELS = [
        'openai/gpt-oss-safeguard-20b',
        'meta-llama/llama-guard-4-12b',
        'meta-llama/llama-prompt-guard-2-86m',
        'meta-llama/llama-prompt-guard-2-22m'
    ];
    constructor(debug = true, disableReview = false, disableReleaseNotes = false, maxFiles = '0', reviewSimpleChanges = false, reviewCommentLGTM = false, pathFilters = null, systemMessage = '', lightModel = 'openai/gpt-oss-120b:free', heavyModel = 'openai/gpt-oss-120b:free', modelTemperature = '0.0', retries = '3', timeoutMS = '120000', concurrencyLimit = '6', githubConcurrencyLimit = '6', apiBaseUrl = 'https://api.groq.com/openai/v1', language = 'en-US', createRemedyPR = false, enableAutoPR = false, strictMode = false) {
        this.debug = debug;
        this.disableReview = disableReview;
        this.disableReleaseNotes = disableReleaseNotes;
        this.maxFiles = parseInt(maxFiles);
        this.reviewSimpleChanges = reviewSimpleChanges;
        this.reviewCommentLGTM = reviewCommentLGTM;
        this.pathFilters = new PathFilter(pathFilters);
        this.systemMessage = systemMessage;
        this.lightModel = lightModel;
        this.heavyModel = heavyModel;
        this.modelTemperature = parseFloat(modelTemperature);
        this.retries = parseInt(retries);
        this.timeoutMS = parseInt(timeoutMS);
        this.concurrencyLimit = parseInt(concurrencyLimit);
        this.githubConcurrencyLimit = parseInt(githubConcurrencyLimit);
        this.apiBaseUrl = apiBaseUrl;
        this.language = language;
        this.createRemedyPR = createRemedyPR;
        this.enableAutoPR = enableAutoPR;
        this.strictMode = strictMode;
        this.lightTokenLimits = new limits_1.TokenLimits(this.lightModel);
        this.heavyTokenLimits = new limits_1.TokenLimits(this.heavyModel);
    }
    // print all options using core.info
    print() {
        info(`debug: ${this.debug}`);
        info(`disable_review: ${this.disableReview}`);
        info(`disable_release_notes: ${this.disableReleaseNotes}`);
        info(`max_files: ${this.maxFiles}`);
        info(`review_simple_changes: ${this.reviewSimpleChanges}`);
        info(`review_comment_lgtm: ${this.reviewCommentLGTM}`);
        info(`path_filters: ${this.pathFilters}`);
        info(`system_message: ${this.systemMessage}`);
        info(`light_model: ${this.lightModel}`);
        info(`heavy_model: ${this.heavyModel}`);
        info(`model_temperature: ${this.modelTemperature}`);
        info(`retries: ${this.retries}`);
        info(`timeout_ms: ${this.timeoutMS}`);
        info(`concurrency_limit: ${this.concurrencyLimit}`);
        info(`github_concurrency_limit: ${this.githubConcurrencyLimit}`);
        info(`summary_token_limits: ${this.lightTokenLimits.string()}`);
        info(`review_token_limits: ${this.heavyTokenLimits.string()}`);
        info(`api_base_url: ${this.apiBaseUrl}`);
        info(`language: ${this.language}`);
        info(`create_remedy_pr: ${this.createRemedyPR}`);
        info(`enable_auto_pr: ${this.enableAutoPR}`);
        info(`strict_mode: ${this.strictMode}`);
    }
    checkPath(path) {
        const ok = this.pathFilters.check(path);
        debug(`checking path: ${path} => ${ok}`);
        return ok;
    }
}
exports.Options = Options;
class PathFilter {
    rules;
    constructor(rules = null) {
        this.rules = [];
        if (rules != null) {
            for (const rule of rules) {
                const trimmed = rule?.trim();
                if (trimmed) {
                    if (trimmed.startsWith('!')) {
                        this.rules.push([trimmed.substring(1).trim(), true]);
                    }
                    else {
                        this.rules.push([trimmed, false]);
                    }
                }
            }
        }
    }
    check(path) {
        if (this.rules.length === 0) {
            return true;
        }
        let included = false;
        let excluded = false;
        let inclusionRuleExists = false;
        for (const [rule, exclude] of this.rules) {
            if ((0, minimatch_1.minimatch)(path, rule)) {
                if (exclude) {
                    excluded = true;
                }
                else {
                    included = true;
                }
            }
            if (!exclude) {
                inclusionRuleExists = true;
            }
        }
        return (!inclusionRuleExists || included) && !excluded;
    }
}
exports.PathFilter = PathFilter;
class AIOptions {
    model;
    tokenLimits;
    constructor(model = 'openai/gpt-oss-120b:free', tokenLimits = null) {
        this.model = model;
        if (tokenLimits != null) {
            this.tokenLimits = tokenLimits;
        }
        else {
            this.tokenLimits = new limits_1.TokenLimits(model);
        }
    }
}
exports.AIOptions = AIOptions;
//# sourceMappingURL=options.js.map