# ═══════════════════════════════════════════════════════════════════
# SISTEM PANGKALAN PENGETAHUAN — Laravel 11
# Salin fail ini menjadi .env dan isi nilai yang sesuai
# ═══════════════════════════════════════════════════════════════════

# ── Aplikasi ──────────────────────────────────────────────────────
APP_NAME="Pangkalan Pengetahuan"
APP_ENV=local
APP_KEY=
APP_DEBUG=true
APP_URL=http://localhost:8000
APP_LOCALE=ms
APP_FALLBACK_LOCALE=ms
APP_FAKER_LOCALE=ms_MY

APP_MAINTENANCE_DRIVER=file

BCRYPT_ROUNDS=12

# ── Log ───────────────────────────────────────────────────────────
LOG_CHANNEL=stack
LOG_STACK=single
LOG_LEVEL=debug

# ── Database MySQL ────────────────────────────────────────────────
DB_CONNECTION=mysql
DB_HOST=127.0.0.1
DB_PORT=3306
DB_DATABASE=knowledge_base
DB_USERNAME=root
DB_PASSWORD=

# ── Sesi ──────────────────────────────────────────────────────────
SESSION_DRIVER=database
SESSION_LIFETIME=480
SESSION_ENCRYPT=false
SESSION_PATH=/
SESSION_DOMAIN=null

# ── Queue ─────────────────────────────────────────────────────────
# Gunakan 'database' untuk development, 'redis' untuk production
QUEUE_CONNECTION=database

# ── Cache ─────────────────────────────────────────────────────────
CACHE_STORE=database

# ── Storage ───────────────────────────────────────────────────────
FILESYSTEM_DISK=local

# ── Ollama ────────────────────────────────────────────────────────
# URL Ollama yang berjalan secara lokal
OLLAMA_BASE_URL=http://localhost:11434

# Model untuk chat/generate
# Pilihan: llama3, mistral, qwen2, gemma2
OLLAMA_CHAT_MODEL=llama3

# Model untuk embedding
# Pilihan: nomic-embed-text (disyorkan), mxbai-embed-large
OLLAMA_EMBEDDING_MODEL=nomic-embed-text

# Timeout (saat)
OLLAMA_CONNECT_TIMEOUT=5
OLLAMA_CHAT_TIMEOUT=120
OLLAMA_EMBED_TIMEOUT=30

# Retry
OLLAMA_RETRY_TIMES=2
OLLAMA_RETRY_SLEEP=1000

# Parameter model
OLLAMA_TEMPERATURE=0.1
OLLAMA_TOP_P=0.9
OLLAMA_NUM_CTX=4096

# ── Qdrant ────────────────────────────────────────────────────────
QDRANT_BASE_URL=http://localhost:6333
QDRANT_API_KEY=
QDRANT_COLLECTION=knowledge_base

# Saiz vector — MESTI sepadan dengan model embedding
# nomic-embed-text: 768
# mxbai-embed-large: 1024
QDRANT_VECTOR_SIZE=768
QDRANT_VECTOR_DISTANCE=Cosine

# Carian
QDRANT_TOP_K=5
QDRANT_SCORE_THRESHOLD=0.3

# Timeout
QDRANT_CONNECT_TIMEOUT=5
QDRANT_REQUEST_TIMEOUT=30

# Batch size untuk upsert
QDRANT_BATCH_SIZE=50

# ── Knowledge Base ────────────────────────────────────────────────
# Upload
KB_MAX_FILE_SIZE=20480
KB_STORAGE_DISK=local

# Chunking
KB_CHUNK_MAX_WORDS=500
KB_CHUNK_OVERLAP_WORDS=75
KB_CHUNK_MIN_WORDS=30

# RAG
KB_RAG_MAX_CHUNKS=5
KB_RAG_MAX_CONTEXT_WORDS=2000

# Rate limiting chatbot (request per minit per IP)
KB_CHAT_RATE_LIMIT=20

# Queue names
KB_QUEUE_INGESTION=default
KB_QUEUE_EMBEDDING=default
KB_QUEUE_CHAT_LOG=default

# ── Mail (optional) ───────────────────────────────────────────────
MAIL_MAILER=log
MAIL_HOST=127.0.0.1
MAIL_PORT=2525
MAIL_USERNAME=null
MAIL_PASSWORD=null
MAIL_FROM_ADDRESS="noreply@majlis.gov.my"
MAIL_FROM_NAME="${APP_NAME}"

VITE_APP_NAME="${APP_NAME}"