- content_parser.py: scan rekursif subfolder (dasar/arduino/circuit) + inject 50 token - locustfile.py: task interactive_session_python (create→poll→input→verify→delete) - e2e_session_check.py: smoke-test 13 skenario via proxy Flask - README: skenario load test 50 pengguna 2 device chore(elemes): update velxio submodule ke elemes-v3.2 (2b17470) |
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|---|---|---|
| .. | ||
| README.md | ||
| content_parser.py | ||
| e2e_session_check.py | ||
| locustfile.py | ||
| requirements.txt | ||
| start_locust_workers.sh | ||
| stop_locust.sh | ||
README.md
Elemes Load Test
Load test E2E menggunakan Locust yang otomatis di-generate dari folder content/.
Cara Pakai
cd elemes/load-test
# 0. Virtual Environment
python3 -m venv ./env
source ./env/bin/activate
# 1. Install dependency
pip install -r requirements.txt
# 2. Generate test data dari content/ (konten ada di subfolder dasar/, arduino/, circuit/)
python content_parser.py --content-dir ../../content --tokens-file ../../tokens_siswa.csv --num-tokens 50
# 3. Jalankan Locust (opsional: set VELXIO_HOST jika Velxio bukan di localhost:8001)
export VELXIO_HOST=http://localhost:8001
locust -f locustfile.py
Buka http://localhost:8089, masukkan URL backend Elemes (misalnya http://localhost:3000), lalu mulai test.
File
| File | Fungsi |
|---|---|
content_parser.py |
Parse content/**/*.md (rekursif subfolder) → test_data.json + inject token LOCUST_TEST_* ke CSV |
locustfile.py |
Locust script (task weighted) yang baca test_data.json |
test_data.json |
Auto-generated, jangan di-commit |
requirements.txt |
Dependency (locust) |
e2e_session_check.py |
Smoke-test alur interaktif (PTY session) via Flask proxy — jalan di container |
Test Scenarios (9 Tasks)
| # | Task | Weight | Target | Deskripsi |
|---|---|---|---|---|
| 1 | Browse Lessons | 3 | Elemes | GET /lessons, validasi jumlah lesson |
| 2 | View Detail | 5 | Elemes | GET /lesson/{slug}.json, validasi field per tipe |
| 3 | Compile C | 4 | Elemes | POST /compile, validasi output vs expected |
| 4 | Compile Python | 3 | Elemes | POST /compile, validasi output vs expected |
| 5 | Interactive Session Python | 4 | Elemes | POST /compile/sessions → poll prompt → POST /input → verifikasi output → DELETE |
| 6 | Verify Arduino | 2 | Elemes | GET lesson Arduino, validasi JSON structure |
| 7 | Complete Flow | 2 | Both | fetch → compile → track-progress |
| 8 | Progress Report | 1 | Elemes | Login guru → GET /progress-report.json |
| 9 | Compile Arduino | 3 | Velxio | POST /api/compile, validasi hex_content |
Task 5 (interactive session) menguji alur baru playground: Run → prompt muncul → ketik jawaban → Enter → output. Skrip memakai token (login) agar lolos rate-limit anonymous dan benar-benar mengukur kapasitas compiler worker (max 50 sesi, 2 compile bersamaan, queue timeout 20 s).
Load Test 50 Pengguna (2 Device)
Host hanya 4-core/3.5 GiB — 50 kompilasi berat bersamaan tidak realistis, tapi 50 sesi yang menunggu input aman (proses idle tidak makan CPU). Batas worker: INTERACTIVE_MAX_SESSIONS=50, INTERACTIVE_MAX_COMPILES=2, INTERACTIVE_QUEUE_TIMEOUT_SECONDS=20.
Device A — Locust Master (jalankan UI di sini)
cd elemes/load-test
source ./env/bin/activate
locust -f locustfile.py --master --web-port 8089
Device B (atau beberapa device) — Locust Worker
cd elemes/load-test
source ./env/bin/activate
# Ganti <IP_MASTER> dengan IP device A (di jaringan/Tailscale yang sama)
locust -f locustfile.py --worker --master-host <IP_MASTER>
Mulai Test
- Buka
http://<IP_MASTER>:8089di browser device A. - Host: URL app yang diuji, misal
https://sinau-c-dev.manakin-gentoo.ts.net(Tailscale Funnel) atauhttp://localhost:3000. - Number of users: 50 · Spawn rate: 5–10/s (ramp-up ~5–10 detik agar hampir bersamaan) · Duration: 5–10 menit.
- Amati di tab Charts: RPS per endpoint, response time
/compile/sessions&/input, dan failure rate. - Skenario
/compile/sessions [Python interactive]wajib ≥95% sukses; failure429pada create menandakan anon rate limit (bukan kapasitas) — gunakan token.
Catatan: task compile biasa (
/compile) tetap kena anon rate limit1 per 2 menitbila token tidak ikut — login dion_startmenyimpan cookie, jadi user ber-token exempt.
Re-generate Setelah Tambah Lesson Baru
Setiap kali ada lesson baru di content/, cukup jalankan ulang:
python content_parser.py --content-dir ../../content --tokens-file ../../tokens_siswa.csv
test_data.json akan di-update otomatis dan Locust langsung test lesson baru.
E2E Smoke Test (container)
Verifikasi cepat alur interaktif tanpa browser — jalan di dalam container backend:
podman cp elemes/load-test/e2e_session_check.py lms-dev_elemes_1:/tmp/
podman exec -e E2E_TOKEN=<token_siswa> lms-dev_elemes_1 python3 /tmp/e2e_session_check.py
# Contoh token: LOCUST_TEST_xxxx (ambil dari tokens_siswa.csv)
Tanpa E2E_TOKEN skrip tetap jalan tapi hanya 2 create session (anon rate limit 1/2 menit).