# DVAIA - Environment Configuration Example
# Copy this file to .env and customize as needed

# ============================================================
# Application Configuration (recommended values)
# ============================================================

# Flask server port
PORT=5000

# Default LLM model
DEFAULT_MODEL=ollama:llama3.2:3b

# Agentic panel: thinking model for CoT/reasoning
# Use a model that supports Ollama "think" (e.g. qwen3:0.6b, deepseek-r1:8b)
AGENTIC_MODEL=qwen3:0.6b

# Document Injection vision mode — image bytes to VLM (not OCR text)
VISION_MODEL=ollama:qwen2.5vl:7b

# Document Injection audio transcription — local Whisper via faster-whisper
WHISPER_MODEL=base
WHISPER_DEVICE=cpu
WHISPER_COMPUTE_TYPE=int8
WHISPER_VAD_FILTER=false
WHISPER_NO_SPEECH_THRESHOLD=0.35
WHISPER_GAIN_BOOST_DB=15
WHISPER_MULTI_PASS=true
WHISPER_FALLBACK_GOOGLE=false

# Ollama host URL when running the app on the host (not inside Docker).
# ./run_docker.sh forces http://ollama:11434 inside the app container.
OLLAMA_HOST=http://localhost:11480

# Embedding backend and model for RAG (ollama | gemini | openai)
EMBEDDING_BACKEND=ollama
EMBEDDING_MODEL=nomic-embed-text
EMBEDDING_MODEL_GEMINI=text-embedding-004
EMBEDDING_MODEL_OPENAI=text-embedding-3-small

# Gemini cloud backend (optional — set GOOGLE_API_KEY to enable UI "Cloud (Gemini)" toggle)
# Get a key: https://aistudio.google.com/apikey
GOOGLE_API_KEY=

# OpenAI cloud backend (optional — set OPENAI_API_KEY to enable UI "Cloud (OpenAI)" toggle)
# Get a key: https://platform.openai.com/api-keys
OPENAI_API_KEY=

# Gemini-only mode: skip Ollama container and local LLM downloads (Docker: ./run_docker.sh --gemini-only)
# Requires GOOGLE_API_KEY. Whisper/OCR still run locally in the app container (~150MB Whisper base in Docker).
# To switch back to local Ollama: GEMINI_ONLY=false, EMBEDDING_BACKEND=ollama, Ollama model vars below,
# then ./run_docker.sh (first start pulls ~9-10GB: llama3.2:3b, nomic-embed-text, qwen3:0.6b, qwen2.5vl:7b).
GEMINI_ONLY=false

# OpenAI-only mode: skip Ollama (Docker: ./run_docker.sh --openai-only). Requires OPENAI_API_KEY.
OPENAI_ONLY=false

# When GEMINI_ONLY=true, use these instead of Ollama defaults:
#EMBEDDING_BACKEND=gemini
#DEFAULT_MODEL=gemini:gemini-3-flash-preview
#VISION_MODEL=gemini:gemini-3-flash-preview
#AGENTIC_MODEL=gemini:gemini-3-flash-preview

# When OPENAI_ONLY=true, use these instead of Ollama defaults:
#EMBEDDING_BACKEND=openai
#DEFAULT_MODEL=openai:gpt-4o-mini
#VISION_MODEL=openai:gpt-4o
#AGENTIC_MODEL=openai:gpt-4o-mini

GEMINI_MODEL=gemini-3-flash-preview
GEMINI_CHAT_MODEL=gemini-3-flash-preview
GEMINI_VISION_MODEL=gemini-3-flash-preview
GEMINI_AGENTIC_MODEL=gemini-3-flash-preview

OPENAI_CHAT_MODEL=gpt-4o-mini
OPENAI_VISION_MODEL=gpt-4o
OPENAI_AGENTIC_MODEL=gpt-4o-mini

# Web Injection — headless Playwright for JS-rendered SPAs (default: HTTP + BeautifulSoup)
# Requires: pip install playwright && playwright install chromium
WEB_FETCH_JS=false

# ============================================================
# Security (REQUIRED for production)
# ============================================================

# Flask secret key for sessions — generate your own before deploying
# Generate with: openssl rand -hex 32
#SECRET_KEY=your-secret-key-here

# ============================================================
# Storage Paths (Docker uses data/ under the project mount by default)
# ============================================================

# Persist document DB and uploads across restarts (recommended for Docker with .:/app mount):
DATABASE_URI=data/app.db
UPLOAD_DIR=data/uploads
PAYLOADS_OUTPUT_DIR=data/payloads/generate

# Ephemeral lab mode (cleared when the container filesystem is recreated):
#DATABASE_URI=/tmp/app.db
#UPLOAD_DIR=/tmp/uploads
#PAYLOADS_OUTPUT_DIR=/tmp/payloads/generate

# Wipe document DB, uploads, and RAG collections on each app start (Settings can toggle this too).
# Legacy alias: RESET_DB_ON_START=1
RESET_DATA_ON_START=false

# Local dev paths (uncomment for non-Docker runs outside the repo):
#DATABASE_URI=data/app.db
#UPLOAD_DIR=data/uploads
#PAYLOADS_OUTPUT_DIR=data/payloads/generate

# ============================================================
# Qdrant Vector Database (for RAG features)
# ============================================================

# Local dev. Docker Compose sets QDRANT_HOST=qdrant internally
QDRANT_URL=http://localhost:6333
QDRANT_COLLECTION=rag_chunks

# Qdrant API key (optional, for Qdrant Cloud only)
#QDRANT_API_KEY=

# ============================================================
# Notes
# ============================================================
#
# - Recommended values above match core/config.py defaults
# - Copy to .env and adjust for your setup
# - Docker: ./run_docker.sh (Ollama) or GEMINI_ONLY=true / ./run_docker.sh --gemini-only
#   or OPENAI_ONLY=true / ./run_docker.sh --openai-only
# - Docker Compose sets QDRANT_HOST for containers; OLLAMA_HOST only with --profile ollama
# - Keep secrets (SECRET_KEY) in .env, not in version control
# - See README.md for full documentation