# -----------------------------------------------------------------------------
# Speakr Configuration: ASR Endpoint
#
# Instructions:
# 1. Copy this file to a new file named .env
#    cp env.asr.example .env
# 2. Fill in the required URLs, API keys, and settings below.
# -----------------------------------------------------------------------------

# --- Text Generation Model (for summaries, titles, etc.) ---
TEXT_MODEL_BASE_URL=https://openrouter.ai/api/v1
TEXT_MODEL_API_KEY=your_openrouter_api_key
TEXT_MODEL_NAME=openai/gpt-4o-mini

# --- Transcription Service (ASR Endpoint) ---
# Setting this to true enables all ASR features including speaker diarization
# Note: File chunking is NOT supported with ASR endpoints
USE_ASR_ENDPOINT=true

# ASR Endpoint URL
# For containers in same docker-compose: Use container name and internal port
# Example: http://whisper-asr:9000 (NOT the host port 6002 or external IP)
# For external ASR: Use http://192.168.1.100:9000 or http://asr.example.com:9000
ASR_BASE_URL=http://whisper-asr:9000

# Optional: Override default speaker settings (defaults shown)
# These are automatically set when USE_ASR_ENDPOINT=true
# ASR_DIARIZE=true           # Auto-enabled with ASR (set to false to disable)
# ASR_MIN_SPEAKERS=1         # Default minimum speakers
# ASR_MAX_SPEAKERS=5         # Default maximum speakers

# --- Application Settings ---
# Set to "true" to allow user registration, "false" to disable
ALLOW_REGISTRATION=false
SUMMARY_MAX_TOKENS=8000
CHAT_MAX_TOKENS=5000

# Timezone for displaying dates and times in the UI
# Use a valid TZ database name (e.g., "America/New_York", "Europe/London", "UTC")
TIMEZONE="UTC"

# Set the logging level for the application.
# Options: DEBUG, INFO, WARNING, ERROR
LOG_LEVEL="INFO"

# --- Admin User (created on first run) ---
ADMIN_USERNAME=admin
ADMIN_EMAIL=admin@example.com
ADMIN_PASSWORD=changeme

# --- Inquire Mode (AI search across all recordings) ---
# Set to "true" to enable semantic search and chat across all recordings
# Requires additional dependencies (already included in Docker image)
ENABLE_INQUIRE_MODE=false

# --- Automated File Processing (Black Hole Directory) ---
# Set to "true" to enable automated file processing
ENABLE_AUTO_PROCESSING=false

# Processing mode: admin_only, user_directories, or single_user
AUTO_PROCESS_MODE=admin_only

# Directory to watch for new audio files
AUTO_PROCESS_WATCH_DIR=/data/auto-process

# How often to check for new files (seconds)
AUTO_PROCESS_CHECK_INTERVAL=30

# Default username for single_user mode (only used if AUTO_PROCESS_MODE=single_user)
# AUTO_PROCESS_DEFAULT_USERNAME=admin

# --- Docker Settings (rarely need to be changed) ---
SQLALCHEMY_DATABASE_URI=sqlite:////data/instance/transcriptions.db
UPLOAD_FOLDER=/data/uploads
