▸ Menunggu aktivitas pertama... 🚀
``` - [ ] **Step 7: Add Contribution Snake section** Append to `README.md`: ```markdown ## 🐍 Contribution Graph
Made with ❤️ and lots of ☕
``` - [ ] **Step 9: Commit all static files** ```bash git add .gitignore assets/generated/.gitkeep README.md git commit -m "feat: initial profile README with static layout" ``` --- ### Task 2: Contribution snake GitHub Action **Files:** - Create: `.github/workflows/snake.yml` **Interfaces:** - Consumes: `assets/generated/snake-dark.svg`, `assets/generated/snake-light.svg` (creates them) - Produces: Snake SVGs committed to `assets/generated/` - [ ] **Step 1: Create workflows directory** ```bash mkdir -p .github/workflows ``` - [ ] **Step 2: Create snake.yml workflow** Write to `.github/workflows/snake.yml`: ```yaml name: Generate Snake on: schedule: - cron: "0 0 * * *" workflow_dispatch: permissions: contents: write jobs: build: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v4 - name: Generate Snake (Dark) uses: Platane/snk/svg-only@v3 with: github_user_name: asepharyana outputs: | assets/generated/snake-dark.svg?palette=github-dark - name: Generate Snake (Light) uses: Platane/snk/svg-only@v3 with: github_user_name: asepharyana outputs: | assets/generated/snake-light.svg?palette=github-light - name: Push to repo uses: stefanzweifel/git-auto-commit-action@v5 with: commit_message: "chore: update contribution snake [skip ci]" file_pattern: assets/generated/snake-*.svg ``` - [ ] **Step 3: Commit snake workflow** ```bash git add .github/workflows/snake.yml git commit -m "feat: add contribution snake GitHub Action" ``` --- ### Task 3: AI Activity log script + workflow **Files:** - Create: `scripts/generate-ai-blog.js` - Create: `.github/workflows/ai-activity.yml` **Interfaces:** - Consumes: README markers `` / `` from Task 1 - Produces: Updated AI content between markers in README.md - Uses GH Actions secrets: `AI_LLM_API_KEY`, `AI_LLM_BASE_URL`, `AI_LLM_MODEL` - Uses implicit `GITHUB_TOKEN` for GitHub API access - [ ] **Step 1: Create scripts directory** ```bash mkdir -p scripts ``` - [ ] **Step 2: Write generate-ai-blog.js** Write to `scripts/generate-ai-blog.js`: ```javascript // scripts/generate-ai-blog.js // Fetches recent GitHub activity → summarizes via LLM → updates README.md markers const https = require("https"); const fs = require("fs"); const path = require("path"); // ── Configuration ─────────────────────────────────────────────── const GITHUB_USER = "asepharyana"; const GITHUB_TOKEN = process.env.GITHUB_TOKEN || ""; const AI_API_KEY = process.env.AI_LLM_API_KEY || ""; const AI_BASE_URL = (process.env.AI_LLM_BASE_URL || "").replace(/\/+$/, ""); const AI_MODEL = process.env.AI_LLM_MODEL || "text"; const README_PATH = path.join(__dirname, "..", "README.md"); const MARKER_START = ""; const MARKER_END = ""; const EVENTS_DAYS_BACK = 7; const MAX_EVENTS = 100; // ── Helpers ───────────────────────────────────────────────────── /** Minimal HTTPS fetch returning body string */ function fetch(url, options = {}) { return new Promise((resolve, reject) => { const req = https.get(url, { headers: options.headers || {} }, (res) => { let data = ""; res.on("data", (chunk) => (data += chunk)); res.on("end", () => resolve({ status: res.statusCode, data })); }); req.on("error", reject); req.setTimeout(15000, () => { req.destroy(); reject(new Error("Request timeout")); }); }); } /** Post JSON to URL and return parsed response */ function postJSON(url, body, headers = {}) { return new Promise((resolve, reject) => { const urlObj = new URL(url); const data = JSON.stringify(body); const opts = { hostname: urlObj.hostname, port: urlObj.port || 443, path: urlObj.pathname + urlObj.search, method: "POST", headers: { "Content-Type": "application/json", ...headers }, }; const req = https.request(opts, (res) => { let raw = ""; res.on("data", (chunk) => (raw += chunk)); res.on("end", () => resolve({ status: res.statusCode, data: raw })); }); req.on("error", reject); req.setTimeout(30000, () => { req.destroy(); reject(new Error("LLM request timeout")); }); req.write(data); req.end(); }); } /** Check if event happened within the last N days */ function isRecent(createdAt, days) { const then = new Date(createdAt).getTime(); const cutoff = Date.now() - days * 24 * 60 * 60 * 1000; return then >= cutoff; } /** Format a single event into readable text */ function formatEvent(event) { const repo = event.repo?.name || "unknown"; switch (event.type) { case "PushEvent": { const branch = (event.payload?.ref || "").replace("refs/heads/", ""); const commits = event.payload?.commits || []; const msgs = commits.slice(0, 3).map((c) => c.message?.split("\n")[0] || "no message").filter(Boolean); return `• Push ${commits.length} commit${commits.length > 1 ? "s" : ""} ke \`${repo}\` (${branch}): ${msgs.join("; ")}`; } case "CreateEvent": { const refType = event.payload?.ref_type || ""; const ref = event.payload?.ref || refType; return `• Membuat ${refType} baru: \`${ref}\` di \`${repo}\``; } case "PullRequestEvent": { const action = event.payload?.action || ""; const title = event.payload?.pull_request?.title || ""; return `• ${action === "opened" ? "Open" : action === "closed" && event.payload?.pull_request?.merged ? "Merge" : action} PR: "${title}" di \`${repo}\``; } case "IssuesEvent": { const action = event.payload?.action || ""; const title = event.payload?.issue?.title || ""; return `• ${action.charAt(0).toUpperCase() + action.slice(1)} issue: "${title}" di \`${repo}\``; } case "WatchEvent": return `• ⭐ Star \`${repo}\``; case "ForkEvent": return `• 🍴 Fork \`${repo}\``; default: return `• ${event.type} di \`${repo}\``; } } /** Deduplicate events: group same repo + type, limit to 8 entries */ function deduplicate(events) { const seen = new Set(); const result = []; for (const ev of events) { const key = `${ev.type}:${ev.repo?.name}`; if (!seen.has(key)) { seen.add(key); result.push(ev); if (result.length >= 8) break; } } return result; } // ── Main ──────────────────────────────────────────────────────── async function main() { console.log("[AI Blog] Starting..."); // 1. Fetch GitHub events if (!GITHUB_TOKEN) { console.log("[AI Blog] No GITHUB_TOKEN, skipping activity fetch"); writeFallback(); return; } const eventsUrl = `https://api.github.com/users/${GITHUB_USER}/events?per_page=${MAX_EVENTS}`; const { status, data } = await fetch(eventsUrl, { headers: { "User-Agent": "generate-ai-blog", Authorization: `Bearer ${GITHUB_TOKEN}`, Accept: "application/vnd.github.v3+json", }, }); if (status !== 200) { console.log(`[AI Blog] GitHub API returned ${status}, keeping existing content`); return; } let events; try { events = JSON.parse(data); } catch { console.log("[AI Blog] Failed to parse GitHub API response"); writeFallback(); return; } if (!Array.isArray(events) || events.length === 0) { console.log("[AI Blog] No events found"); writeFallback(); return; } // 2. Filter to recent + relevant event types const recent = events.filter( (e) => isRecent(e.created_at, EVENTS_DAYS_BACK) && ["PushEvent", "CreateEvent", "PullRequestEvent", "IssuesEvent", "WatchEvent", "ForkEvent"].includes(e.type) ); if (recent.length === 0) { console.log("[AI Blog] No recent activity found"); writeFallback(); return; } // 3. Format and deduplicate const deduped = deduplicate(recent); const formatted = deduped.map(formatEvent).join("\n"); console.log(`[AI Blog] Found ${deduped.length} unique events:\n${formatted}`); // 4. Build LLM prompt const prompt = `Buat summary aktivitas GitHub dalam bahasa Indonesia kasual, maksimal 3 kalimat, pakai emoji. Jangan pake format list. Langsung kontennya aja, tanpa intro:\n\n${formatted}`; // 5. Call LLM if (!AI_API_KEY) { console.log("[AI Blog] No AI_API_KEY, using raw activity text"); writeContent(formatted, formatted); return; } const chatUrl = `${AI_BASE_URL}/chat/completions`; const payload = { model: AI_MODEL, messages: [{ role: "user", content: prompt }], max_tokens: 300, temperature: 0.7, }; console.log(`[AI Blog] Calling LLM at ${AI_BASE_URL}...`); let llmResult; try { const llmResp = await postJSON(chatUrl, payload, { Authorization: `Bearer ${AI_API_KEY}`, }); console.log(`[AI Blog] LLM response status: ${llmResp.status}`); if (llmResp.status === 200) { const parsed = JSON.parse(llmResp.data); llmResult = parsed.choices?.[0]?.message?.content?.trim(); } } catch (err) { console.log(`[AI Blog] LLM call failed: ${err.message}`); } const summary = llmResult || formatted.slice(0, 300); writeContent(summary, formatted); } /** Write content between README markers. Falls back to raw events if LLM fails. */ function writeContent(summary, rawFallback) { if (!fs.existsSync(README_PATH)) { console.error(`[AI Blog] README.md not found at ${README_PATH}`); process.exit(0); } let readme = fs.readFileSync(README_PATH, "utf-8"); const startIdx = readme.indexOf(MARKER_START); const endIdx = readme.indexOf(MARKER_END); if (startIdx === -1 || endIdx === -1) { console.error("[AI Blog] Section markers not found in README.md"); process.exit(0); } const before = readme.slice(0, startIdx + MARKER_START.length); const after = readme.slice(endIdx); const middle = `\n\n\n ${summary}\n
\n\n`; const newReadme = before + middle + after; fs.writeFileSync(README_PATH, newReadme, "utf-8"); console.log(`[AI Blog] README.md updated successfully`); } /** Write fallback text when no activity is found */ function writeFallback() { const fallback = "▸ Belum ada aktivitas GitHub dalam 7 hari terakhir. Pantau terus! 🚀"; writeContent(fallback, fallback); } main().catch((err) => { console.error(`[AI Blog] Error: ${err.message}`); process.exit(0); }); ``` - [ ] **Step 3: Create ai-activity.yml workflow** Write to `.github/workflows/ai-activity.yml`: ```yaml name: AI Activity Log on: schedule: - cron: "0 */6 * * *" push: branches: [main] workflow_dispatch: permissions: contents: write jobs: generate: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 with: fetch-depth: 0 - uses: actions/setup-node@v4 with: node-version: 20 - name: Install dependencies run: npm install --save-dev prettier - name: Generate AI activity log env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} AI_LLM_API_KEY: ${{ secrets.AI_LLM_API_KEY }} AI_LLM_BASE_URL: ${{ secrets.AI_LLM_BASE_URL }} AI_LLM_MODEL: ${{ secrets.AI_LLM_MODEL }} run: node scripts/generate-ai-blog.js - name: Format README run: npx prettier --write README.md || true - name: Commit changes uses: stefanzweifel/git-auto-commit-action@v5 with: commit_message: "chore: update AI activity log [skip ci]" file_pattern: README.md ``` - [ ] **Step 4: Create package.json (for prettier dependency)** ```json { "name": "profile-readme", "private": true, "scripts": { "generate-ai": "node scripts/generate-ai-blog.js" } } ``` - [ ] **Step 5: Commit all AI activity files** ```bash git add scripts/generate-ai-blog.js .github/workflows/ai-activity.yml package.json git commit -m "feat: add AI-powered activity log" ``` --- ### Task 4: Final push & setup instructions **Files:** None (documentation + user action) - [ ] **Step 1: Push everything to GitHub** ```bash git push origin main ``` - [ ] **Step 2: Add secrets to GitHub repository** User needs to add these secrets via GitHub.com → Settings → Secrets and variables → Actions: | Secret | Value | |---|---| | `AI_LLM_API_KEY` | `sk-5dd268d88adb496b-818beb-6bc7498e` | | `AI_LLM_BASE_URL` | `https://omniroute.imrnes.team/v1` | | `AI_LLM_MODEL` | `text` | - [ ] **Step 3: Trigger initial runs** After secrets are set, manually trigger both workflows from GitHub Actions tab: 1. `Generate Snake` → verify snake SVGs appear in `assets/generated/` 2. `AI Activity Log` → verify README updates with AI summary