feat(vehicle): Persistent Vehicle Learning Evidence Store (P2-2)#36
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P2-1 LearningEvidence kayıtlarını oturumlar arası KALICI kılar → sistem farklı araç/günden
gelen kanıtı offline biriktirir. safeStorage tabanlı, bounded(512) LRU, throttle'lı yazma,
fail-soft. Cloud/SQL/LLM/Native/hot-path YOK.
- vehicleLearningEvidenceStore.ts (yeni):
* safeStorage anahtarı car-vehicle-learning-evidence + şema sürümü (eski/bozuk → fail-soft)
* upsert: evidenceId ile idempotent birleştirme — duplicate yok; firstSeen=min, lastSeen=max,
observationCount=güvenli toplam, supportingVehicleHashes unique birleşim, vehicleCount=distinct
hash sayısı, ecuAddresses normalize/sort/unique; confidence/status P1 fonksiyonuyla YENİDEN
hesaplanır (P1 formülü DEĞİŞMEZ); createdAt korunur, updatedAt güncellenir
* save/get/list/remove/clear/flush/dispose API
* bounded(512) LRU: status-aware deterministik eviction (weak, strong'dan ÖNCE silinir);
debounce yazma (5s); zero-leak dispose (timer temizler + bekleyeni yazar)
- safeStorage: car-vehicle-learning-evidence → LRU_PROTECTED (kota dolunca silinmez)
Bu PR'da decay/prune YOK (P2-3). VLE confidence formülü / Discovery / VKB / Manufacturer
Intelligence / Diagnostic davranışı DEĞİŞMEDİ. Girdi kayıtları mutate edilmez (salt-okunur).
Dokunulmadı: native OBD · poll · PID/DID registry · SQL/Supabase · cloud · LLM · PR #11/#20.
15 test. tsc -b temiz · eslint temiz · 2522 test yeşil (23 bilinen env-gated, ilgisiz).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Fauew13VP3vbfKqnocPdfX
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This was referenced Jul 10, 2026
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Amaç
P2-1'in ürettiği
LearningEvidencekayıtlarını oturumlar arası kalıcı kılar → sistem farklı araçlardan ve farklı günlerden gelen öğrenme kanıtını offline biriktirir.PR #35 merge sonucu
✅ PR #35 (P2-1) merge edildi — merge commit
8d0a731, main →8d0a731, tüm CI yeşildi. Branch silinmedi. Bu PR güncel main'den açıldı.Yeni dosyalar
src/platform/vehicleLearningEvidenceStore.tssrc/__tests__/vehicleLearningEvidenceStore.test.tsDeğişen dosyalar (additive)
src/utils/safeStorage.ts—car-vehicle-learning-evidence→LRU_PROTECTED(tek satır)Storage modeli
car-vehicle-learning-evidence· safeStorage (localStorage doğrudan YOK) · şema sürümü (eski/bozuk → fail-soft boş) · debounce yazma (5s, yüksek-frekans disk yazımı yok) · zero-leak dispose.evidenceId→ duplicate yok ·firstSeen=min ·lastSeen=max ·observationCount=güvenli toplam ·supportingVehicleHashes=unique birleşim ·vehicleCount=distinct hash sayısı (input yok sayılır) ·ecuAddresses=normalize/sort/unique ·confidence/status=P1 fonksiyonuyla yeniden hesap ·createdAtkorunur ·updatedAtgüncellenir.Bounded / LRU davranışı
lastSeen/updatedAt), sonra id. Bu PR'da decay/prune YOK (P2-3).API
save·upsert·get·list·remove·clear·flush·dispose.Testler (15)
✓ save/load kalıcılığı · ✓ duplicate yok · ✓ observationCount↑ · ✓ hash unique birleşim · ✓ vehicleCount distinct · ✓ ECU normalize · ✓ firstSeen korunur · ✓ lastSeen güncellenir · ✓ confidence/status yeniden hesap · ✓ bounded(max) · ✓ weak strong'dan önce evict · ✓ bozuk storage fail-soft · ✓ eski schema fail-soft · ✓ throttle/debounce (upsert→disk yazmaz, flush yazar) · ✓ dispose cleanup (zero-leak) · ✓ clear · ✓ girdi mutate edilmiyor. (createdAt/updatedAt dahil.)
Risk analizi
Düşük — additive. Depo hata verse bile OBD/Discovery/Fingerprint/Auto Learning/VKB/Manufacturer Intelligence/Diagnostic aynen sürer (her yol fail-soft). Girdi mutate edilmez; hot-path yok; safeStorage debounce ile eMMC yazma korunur; zero-leak dispose. Dokunulmadı: native OBD · poll · PID/DID registry · SQL/Supabase · cloud · LLM · VLE confidence formülü · PR #11/#20.
Doğrulama
tsc -b --noEmittemiz ·eslinttemizMerge YAPILMADI.
🤖 Generated with Claude Code
https://claude.ai/code/session_01Fauew13VP3vbfKqnocPdfX