// PR Review tool — orchestrates the whole review: fetch PR, build diff, // render prompts, call LLM, parse YAML, render markdown, publish. // Port of pr_agent.tools.pr_reviewer. import type { Config } from "./config"; import { GitHubProvider } from "./github"; import { getPrDiff, sortFilesByMainLanguages } from "./diff"; import { countTokens } from "./token"; import { countPromptTokens } from "./token"; import { renderTemplate } from "./render"; import { REVIEW_SYSTEM_TEMPLATE, REVIEW_USER_TEMPLATE } from "./prompts"; import { loadYaml } from "./yaml"; import { convertToMarkdownV2 } from "./markdown"; import { chatCompletion } from "./llm"; import { getModelTokenLimit as getModelTokenLimitInner } from "./config"; export interface ReviewResult { markdown: string; data: Record | null; model: string; promptTokens: number; completionTokens: number; cachedTokens: number; remainingFiles: string[]; diff: string; status: string; } export async function runReview( cfg: Config, repoOwner: string, repoName: string, prNumber: number, privateKeyPem: string, opts?: { publish?: boolean; extraInstructions?: string; }, ): Promise { const provider = new GitHubProvider(cfg, repoOwner, repoName, prNumber, privateKeyPem); const pr = await provider.getPr(); const files = await provider.getDiffFiles(); // main language let languages: Record = {}; try { languages = await provider.getLanguages(); } catch { languages = {}; } const mainLanguage = getMainPrLanguage(languages, files); const description = await provider.getPrDescription(true); const branch = await provider.getPrBranch(); const commitMessagesStrRaw = await provider.getCommitMessagesStr(cfg.maxCommitsTokens); const commitMessagesStr = clipTokensSimple(commitMessagesStrRaw, cfg.maxCommitsTokens); const title = pr.title; const date = new Date().toISOString().slice(0, 10); const r = cfg.prReviewer; const vars: Record = { title, branch, description, language: mainLanguage, diff: "", num_pr_files: files.length, num_max_findings: r.numMaxFindings, require_score: r.requireScoreReview, require_tests: r.requireTestsReview, require_estimate_effort_to_review: r.requireEstimateEffortToReview, require_estimate_contribution_time_cost: r.requireEstimateContributionTimeCost, require_can_be_split_review: r.requireCanBeSplitReview, require_security_review: r.requireSecurityReview, require_todo_scan: r.requireTodoScan, question_str: "", answer_str: "", extra_instructions: opts?.extraInstructions ?? r.extraInstructions, skills_context: "", repo_context: "", commit_messages_str: commitMessagesStr, custom_labels: "", enable_custom_labels: false, is_ai_metadata: false, related_tickets: [], duplicate_prompt_examples: false, date, }; // prompt tokens const promptTokens = countPromptTokens( REVIEW_SYSTEM_TEMPLATE, REVIEW_USER_TEMPLATE, vars, renderTemplate, ); // build diff with token budget (reuses prompt tokens) const { diff, remainingFiles } = getPrDiffWithFiles(files, promptTokens, cfg.model, cfg, vars); // render final prompts with diff const systemPrompt = renderTemplate(REVIEW_SYSTEM_TEMPLATE, { ...vars, diff }); const userPrompt = renderTemplate(REVIEW_USER_TEMPLATE, { ...vars, diff }); // LLM call with fallback models const models = [cfg.model, ...cfg.fallbackModels]; let content = ""; let finishReason = ""; let usedModel = cfg.model; let usage: { promptTokens: number; completionTokens: number; cachedTokens: number } = { promptTokens: 0, completionTokens: 0, cachedTokens: 0, }; let lastErr: unknown = null; for (const model of models) { try { const res = await chatCompletion({ model, system: systemPrompt, user: userPrompt, temperature: cfg.temperature, cfg, }); content = res.content; finishReason = res.finishReason; usedModel = model; usage = { promptTokens: res.usage?.promptTokens ?? 0, completionTokens: res.usage?.completionTokens ?? 0, cachedTokens: res.usage?.cachedTokens ?? 0, }; break; } catch (e) { lastErr = e; // if all models fail, throw; else try next } } if (!content) { throw new Error(`All models failed: ${(lastErr as Error)?.message ?? "unknown"}`); } // parse YAML (resilient) const keysFix = [ "ticket_compliance_check", "estimated_effort_to_review_[1-5]:", "security_concerns:", "key_issues_to_review:", "relevant_file:", "relevant_line:", "suggestion:", ]; let data = loadYaml(content, keysFix, "review", "security_concerns") as Record | null; // loadYaml returns { review: ... } — keep as is if (data && !("review" in data) && "review" in (data as object)) { data = { review: (data as { review: unknown }).review }; } // render markdown const markdown = data && "review" in data ? convertToMarkdownV2(data as { review: Record }, true, r.enableIntroText) : ""; // publish if (opts?.publish !== false) { if (markdown) { // persistent comment (replace prev "## PR Reviewer Guide 🔍") if (r.persistentComment) { await provider.publishPersistentComment(markdown, "## PR Reviewer Guide 🔍", "review", r.finalUpdateMessage); } else { await provider.publishComment(markdown); } } } return { markdown, data, model: usedModel, promptTokens: usage.promptTokens || promptTokens, completionTokens: usage.completionTokens, cachedTokens: usage.cachedTokens, remainingFiles, diff, status: "success", }; } function getPrDiffWithFiles( files: Parameters[0], promptTokens: number, model: string, cfg: Config, vars: Record, ): { diff: string; remainingFiles: string[] } { // Sort by main language first (pushes main-lang files earlier, matching // pr_agent's pr_generate_extended_diff order; we use the files order as-is // since the Python version sorts by lang then processes all files equally). const langs = (vars["_langs"] as Record) || {}; const sorted = sortFilesByMainLanguages(langs, files); // Reuse getPrDiff with our token budget logic const res = getPrDiff(sorted, promptTokens, model, cfg); return { diff: res.diff, remainingFiles: res.remainingFiles }; } function clipTokensSimple(text: string, maxTokens: number): string { const tokens = countTokens(text); if (tokens <= maxTokens) return text; // approximate chars/token from actual ratio const ratio = text.length / Math.max(1, tokens); const target = Math.floor(maxTokens * ratio * 0.9); return text.slice(0, target) + "\n...(truncated)"; } function getMainPrLanguage( languages: Record, files: { filename: string }[], ): string { if (!languages || Object.keys(languages).length === 0 || !files.length) return ""; const top = Object.entries(languages).sort((a, b) => b[1] - a[1])[0][0].toLowerCase(); const ext = files[0].filename.split(".").pop()?.toLowerCase() ?? ""; const map: Record = { python: "Python", typescript: "TypeScript", javascript: "JavaScript", go: "Go", rust: "Rust", java: "Java", csharp: "C#", cpp: "C++", ruby: "Ruby", php: "PHP", swift: "Swift", kotlin: "Kotlin", shell: "Shell", html: "HTML", css: "CSS", vue: "Vue", scala: "Scala", }; const extLang: Record = { py: "python", ts: "typescript", tsx: "typescript", js: "javascript", jsx: "javascript", go: "go", rs: "rust", java: "java", cs: "csharp", cpp: "cpp", rb: "ruby", php: "php", swift: "swift", kt: "kotlin", sh: "shell", bash: "shell", html: "html", css: "css", vue: "vue", scala: "scala", }; const langOfExt = extLang[ext] || ""; if (langOfExt && langOfExt === top) return map[top] || top; return langOfExt ? map[langOfExt] || langOfExt : (map[top] || top); } export function getModelTokenLimitLocal(model: string, cfg: Config): number { return getModelTokenLimitInner(model, cfg); }