# =============================================================================
# DictIA — Unified Environment Configuration
# =============================================================================
#
# Copy this file to the project root as .env and edit the values.
#   cp deployment/docker/.env.example .env
#
# This template combines upstream settings with DictIA deployment vars.
# See: config/env.transcription.example for full upstream documentation.

# =============================================================================
# FLASK SECRET KEY (REQUIRED — auto-generated by setup.sh)
# =============================================================================
SECRET_KEY=change-me-to-a-random-string

# =============================================================================
# DEPLOYMENT PROFILE (used by deployment scripts)
# =============================================================================
# Options: cloud, local-cpu, local-gpu
DICTIA_PROFILE=cloud

# =============================================================================
# TEXT GENERATION MODEL (REQUIRED for summaries, titles, chat)
# =============================================================================
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 CONFIGURATION
# =============================================================================
# For cloud profile (ASR Proxy → GCP GPU):
#   ASR_BASE_URL is set automatically in docker-compose.cloud.yml
#   No need to set it here.
#
# For local profiles (WhisperX sidecar):
#   ASR_BASE_URL is set automatically in docker-compose.local-*.yml
#   No need to set it here.
#
# For OpenAI API instead of self-hosted ASR:
# TRANSCRIPTION_API_KEY=sk-your_openai_api_key
# TRANSCRIPTION_MODEL=gpt-4o-transcribe-diarize

# ASR model (for local WhisperX profiles)
ASR_MODEL=large-v3

# HuggingFace token (required for diarization with pyannote)
# Get yours at: https://huggingface.co/settings/tokens
# Must accept: https://huggingface.co/pyannote/speaker-diarization-3.1
HF_TOKEN=

# =============================================================================
# ASR PROXY — CLOUD PROFILE ONLY
# =============================================================================
# GCP project for GPU instances
# GCP_PROJECT=your-gcp-project

# Monthly GPU budget limit in hours (default: 50)
# MONTHLY_LIMIT_HOURS=50

# Idle timeout before auto-stopping GPU (seconds, default: 300)
# IDLE_TIMEOUT=300

# =============================================================================
# APPLICATION SETTINGS
# =============================================================================
ADMIN_USERNAME=admin
ADMIN_EMAIL=admin@example.com
ADMIN_PASSWORD=changeme

ALLOW_REGISTRATION=false
TIMEZONE="America/Toronto"
LOG_LEVEL=ERROR
LOCALE=fr_CA
DEFAULT_LANGUAGE=fr
SHOW_USERNAMES_IN_UI=true
SESSION_COOKIE_HTTPONLY=true
SESSION_COOKIE_SAMESITE=Lax
SESSION_COOKIE_SECURE=true

# =============================================================================
# OPTIONAL FEATURES
# =============================================================================
ENABLE_INQUIRE_MODE=false
ENABLE_AUTO_PROCESSING=false
ENABLE_AUTO_EXPORT=false
ENABLE_AUTO_DELETION=false
ENABLE_INTERNAL_SHARING=true
ENABLE_PUBLIC_SHARING=true
ENABLE_FOLDERS=true
VIDEO_RETENTION=true
USERS_CAN_DELETE=true

# =============================================================================
# BACKGROUND PROCESSING
# =============================================================================
JOB_QUEUE_WORKERS=4
SUMMARY_QUEUE_WORKERS=4
JOB_MAX_RETRIES=3
MAX_CONCURRENT_UPLOADS=3

# =============================================================================
# TRANSCRIPTION SETTINGS
# =============================================================================
TRANSCRIPTION_CONNECTOR=asr_endpoint
USE_NEW_TRANSCRIPTION_ARCHITECTURE=true
ENABLE_CHUNKING=true
CHUNK_LIMIT=2400s
CHUNK_OVERLAP_SECONDS=5

# =============================================================================
# LLM / SUMMARY SETTINGS
# =============================================================================
SUMMARY_LANGUAGE=fr
SUMMARY_MAX_TOKENS=16000
CHAT_MAX_TOKENS=12000
ENABLE_STREAM_OPTIONS=false
ENABLE_THINKING=false

# =============================================================================
# DOCKER/DATABASE
# =============================================================================
SQLALCHEMY_DATABASE_URI=sqlite:////data/instance/transcriptions.db
UPLOAD_FOLDER=/data/uploads