Files
reflector/scripts/setup-selfhosted.sh
Juan Diego García a682846645 feat: 3-mode selfhosted refactoring (--gpu, --cpu, --hosted) + audio token auth fallback (#896)
* fix: local processing instead of http server for cpu

* add fallback token if service worker doesnt work

* chore: rename processors to keep processor pattern up to date and allow other processors to be createed and used with env vars
2026-03-04 16:31:08 -05:00

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#!/usr/bin/env bash
#
# Self-hosted production setup for Reflector.
# Single script to configure and launch everything on one server.
#
# Usage:
# ./scripts/setup-selfhosted.sh <--gpu|--cpu|--hosted> [--ollama-gpu|--ollama-cpu] [--llm-model MODEL] [--garage] [--caddy] [--domain DOMAIN] [--password PASSWORD] [--build]
#
# ML processing modes (pick ONE — required):
# --gpu NVIDIA GPU container for transcription/diarization/translation
# --cpu In-process CPU processing (no ML container, slower)
# --hosted Remote GPU service URL (no ML container)
#
# Local LLM (optional — for summarization & topic detection):
# --ollama-gpu Local Ollama with NVIDIA GPU acceleration
# --ollama-cpu Local Ollama on CPU only
# --llm-model MODEL Ollama model to use (default: qwen2.5:14b)
# (If omitted, configure an external OpenAI-compatible LLM in server/.env)
#
# Optional flags:
# --garage Use Garage for local S3-compatible storage
# --caddy Enable Caddy reverse proxy with auto-SSL
# --domain DOMAIN Use a real domain for Caddy (enables Let's Encrypt auto-HTTPS)
# Requires: DNS pointing to this server + ports 80/443 open
# Without --domain: Caddy uses self-signed cert for IP access
# --password PASS Enable password auth with admin@localhost user
# --build Build backend and frontend images from source instead of pulling
#
# Examples:
# ./scripts/setup-selfhosted.sh --gpu --ollama-gpu --garage --caddy
# ./scripts/setup-selfhosted.sh --gpu --ollama-gpu --garage --caddy --domain reflector.example.com
# ./scripts/setup-selfhosted.sh --cpu --ollama-cpu --garage --caddy
# ./scripts/setup-selfhosted.sh --hosted --garage --caddy
# ./scripts/setup-selfhosted.sh --gpu --ollama-gpu --llm-model mistral --garage --caddy
# ./scripts/setup-selfhosted.sh --gpu --garage --caddy --password mysecretpass
# ./scripts/setup-selfhosted.sh --gpu --garage --caddy
# ./scripts/setup-selfhosted.sh --cpu
#
# The script auto-detects Daily.co (DAILY_API_KEY) and Whereby (WHEREBY_API_KEY)
# from server/.env. If Daily.co is configured, Hatchet workflow services are
# started automatically for multitrack recording processing.
#
# Idempotent — safe to re-run at any time.
#
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
COMPOSE_FILE="$ROOT_DIR/docker-compose.selfhosted.yml"
SERVER_ENV="$ROOT_DIR/server/.env"
WWW_ENV="$ROOT_DIR/www/.env"
OLLAMA_MODEL="qwen2.5:14b"
OS="$(uname -s)"
# --- Colors ---
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
CYAN='\033[0;36m'
NC='\033[0m'
info() { echo -e "${CYAN}==>${NC} $*"; }
ok() { echo -e "${GREEN}${NC} $*"; }
warn() { echo -e "${YELLOW} !${NC} $*"; }
err() { echo -e "${RED}${NC} $*" >&2; }
# --- Helpers ---
dump_diagnostics() {
local failed_svc="${1:-}"
echo ""
err "========== DIAGNOSTICS =========="
err "Container status:"
compose_cmd ps -a --format "table {{.Name}}\t{{.Status}}" 2>/dev/null || true
echo ""
local stopped
stopped=$(compose_cmd ps -a --format '{{.Name}}\t{{.Status}}' 2>/dev/null \
| grep -iv 'up\|running' | awk -F'\t' '{print $1}' || true)
for c in $stopped; do
err "--- Logs for $c (exited/unhealthy) ---"
docker logs --tail 30 "$c" 2>&1 || true
echo ""
done
if [[ -n "$failed_svc" ]]; then
err "--- Logs for $failed_svc (last 40) ---"
compose_cmd logs "$failed_svc" --tail 40 2>&1 || true
fi
err "================================="
}
trap 'dump_diagnostics' ERR
detect_lan_ip() {
case "$OS" in
Darwin)
for iface in en0 en1 en2 en3; do
local ip
ip=$(ipconfig getifaddr "$iface" 2>/dev/null || true)
if [[ -n "$ip" ]]; then
echo "$ip"
return
fi
done
;;
Linux)
ip route get 1.1.1.1 2>/dev/null | sed -n 's/.*src \([^ ]*\).*/\1/p'
return
;;
esac
echo ""
}
wait_for_url() {
local url="$1" label="$2" retries="${3:-30}" interval="${4:-2}"
for i in $(seq 1 "$retries"); do
if curl -sf "$url" > /dev/null 2>&1; then
return 0
fi
echo -ne "\r Waiting for $label... ($i/$retries)"
sleep "$interval"
done
echo ""
err "$label not responding at $url after $retries attempts"
return 1
}
env_has_key() {
local file="$1" key="$2"
grep -q "^${key}=" "$file" 2>/dev/null
}
env_get() {
local file="$1" key="$2"
grep "^${key}=" "$file" 2>/dev/null | head -1 | cut -d= -f2-
}
env_set() {
local file="$1" key="$2" value="$3"
if env_has_key "$file" "$key"; then
if [[ "$OS" == "Darwin" ]]; then
sed -i '' "s|^${key}=.*|${key}=${value}|" "$file"
else
sed -i "s|^${key}=.*|${key}=${value}|" "$file"
fi
else
echo "${key}=${value}" >> "$file"
fi
}
compose_cmd() {
local profiles=""
for p in "${COMPOSE_PROFILES[@]}"; do
profiles="$profiles --profile $p"
done
docker compose -f "$COMPOSE_FILE" $profiles "$@"
}
# Compose command with only garage profile (for garage-only operations before full stack start)
compose_garage_cmd() {
docker compose -f "$COMPOSE_FILE" --profile garage "$@"
}
# --- Parse arguments ---
MODEL_MODE="" # gpu or cpu (required, mutually exclusive)
OLLAMA_MODE="" # ollama-gpu or ollama-cpu (optional)
USE_GARAGE=false
USE_CADDY=false
CUSTOM_DOMAIN="" # optional domain for Let's Encrypt HTTPS
BUILD_IMAGES=false # build backend/frontend from source
ADMIN_PASSWORD="" # optional admin password for password auth
SKIP_NEXT=false
ARGS=("$@")
for i in "${!ARGS[@]}"; do
if [[ "$SKIP_NEXT" == "true" ]]; then
SKIP_NEXT=false
continue
fi
arg="${ARGS[$i]}"
case "$arg" in
--gpu)
[[ -n "$MODEL_MODE" ]] && { err "Cannot combine --gpu, --cpu, and --hosted. Pick one."; exit 1; }
MODEL_MODE="gpu" ;;
--cpu)
[[ -n "$MODEL_MODE" ]] && { err "Cannot combine --gpu, --cpu, and --hosted. Pick one."; exit 1; }
MODEL_MODE="cpu" ;;
--hosted)
[[ -n "$MODEL_MODE" ]] && { err "Cannot combine --gpu, --cpu, and --hosted. Pick one."; exit 1; }
MODEL_MODE="hosted" ;;
--ollama-gpu)
[[ -n "$OLLAMA_MODE" ]] && { err "Cannot combine --ollama-gpu and --ollama-cpu. Pick one."; exit 1; }
OLLAMA_MODE="ollama-gpu" ;;
--ollama-cpu)
[[ -n "$OLLAMA_MODE" ]] && { err "Cannot combine --ollama-gpu and --ollama-cpu. Pick one."; exit 1; }
OLLAMA_MODE="ollama-cpu" ;;
--llm-model)
next_i=$((i + 1))
if [[ $next_i -ge ${#ARGS[@]} ]] || [[ "${ARGS[$next_i]}" == --* ]]; then
err "--llm-model requires a model name (e.g. --llm-model mistral)"
exit 1
fi
OLLAMA_MODEL="${ARGS[$next_i]}"
SKIP_NEXT=true ;;
--garage) USE_GARAGE=true ;;
--caddy) USE_CADDY=true ;;
--build) BUILD_IMAGES=true ;;
--password)
next_i=$((i + 1))
if [[ $next_i -ge ${#ARGS[@]} ]] || [[ "${ARGS[$next_i]}" == --* ]]; then
err "--password requires a password value (e.g. --password mysecretpass)"
exit 1
fi
ADMIN_PASSWORD="${ARGS[$next_i]}"
SKIP_NEXT=true ;;
--domain)
next_i=$((i + 1))
if [[ $next_i -ge ${#ARGS[@]} ]] || [[ "${ARGS[$next_i]}" == --* ]]; then
err "--domain requires a domain name (e.g. --domain reflector.example.com)"
exit 1
fi
CUSTOM_DOMAIN="${ARGS[$next_i]}"
USE_CADDY=true # --domain implies --caddy
SKIP_NEXT=true ;;
*)
err "Unknown argument: $arg"
err "Usage: $0 <--gpu|--cpu|--hosted> [--ollama-gpu|--ollama-cpu] [--llm-model MODEL] [--garage] [--caddy] [--domain DOMAIN] [--password PASS] [--build]"
exit 1
;;
esac
done
if [[ -z "$MODEL_MODE" ]]; then
err "No model mode specified. You must choose --gpu, --cpu, or --hosted."
err ""
err "Usage: $0 <--gpu|--cpu|--hosted> [--ollama-gpu|--ollama-cpu] [--llm-model MODEL] [--garage] [--caddy] [--domain DOMAIN] [--password PASS] [--build]"
err ""
err "ML processing modes (required):"
err " --gpu NVIDIA GPU container for transcription/diarization/translation"
err " --cpu In-process CPU processing (no ML container, slower)"
err " --hosted Remote GPU service URL (no ML container)"
err ""
err "Local LLM (optional):"
err " --ollama-gpu Local Ollama with GPU (for summarization/topics)"
err " --ollama-cpu Local Ollama on CPU (for summarization/topics)"
err " --llm-model MODEL Ollama model to download (default: qwen2.5:14b)"
err " (omit --ollama-* for external OpenAI-compatible LLM)"
err ""
err "Other options:"
err " --garage Local S3-compatible storage (Garage)"
err " --caddy Caddy reverse proxy with self-signed cert"
err " --domain DOMAIN Use a real domain with Let's Encrypt HTTPS (implies --caddy)"
err " --password PASS Enable password auth (admin@localhost) instead of public mode"
err " --build Build backend/frontend images from source instead of pulling"
exit 1
fi
# Build profiles list — one profile per feature
# Only --gpu needs a compose profile; --cpu and --hosted use in-process/remote backends
COMPOSE_PROFILES=()
[[ "$MODEL_MODE" == "gpu" ]] && COMPOSE_PROFILES+=("gpu")
[[ -n "$OLLAMA_MODE" ]] && COMPOSE_PROFILES+=("$OLLAMA_MODE")
[[ "$USE_GARAGE" == "true" ]] && COMPOSE_PROFILES+=("garage")
[[ "$USE_CADDY" == "true" ]] && COMPOSE_PROFILES+=("caddy")
# Derived flags
NEEDS_NVIDIA=false
[[ "$MODEL_MODE" == "gpu" ]] && NEEDS_NVIDIA=true
[[ "$OLLAMA_MODE" == "ollama-gpu" ]] && NEEDS_NVIDIA=true
USES_OLLAMA=false
OLLAMA_SVC=""
[[ "$OLLAMA_MODE" == "ollama-gpu" ]] && USES_OLLAMA=true && OLLAMA_SVC="ollama"
[[ "$OLLAMA_MODE" == "ollama-cpu" ]] && USES_OLLAMA=true && OLLAMA_SVC="ollama-cpu"
# Human-readable mode string for display
MODE_DISPLAY="$MODEL_MODE"
[[ -n "$OLLAMA_MODE" ]] && MODE_DISPLAY="$MODEL_MODE + $OLLAMA_MODE"
# =========================================================
# Step 0: Prerequisites
# =========================================================
step_prerequisites() {
info "Step 0: Checking prerequisites"
# Docker
if ! docker compose version 2>/dev/null | grep -qi compose; then
err "Docker Compose V2 not found."
err "Install Docker with Compose V2: https://docs.docker.com/engine/install/"
exit 1
fi
if ! docker info &>/dev/null; then
err "Docker daemon not running."
exit 1
fi
ok "Docker + Compose V2 ready"
# NVIDIA GPU check
if [[ "$NEEDS_NVIDIA" == "true" ]]; then
if ! command -v nvidia-smi &>/dev/null || ! nvidia-smi &>/dev/null; then
err "NVIDIA GPU required (model=$MODEL_MODE, ollama=$OLLAMA_MODE) but nvidia-smi failed."
err "Install NVIDIA drivers and nvidia-container-toolkit."
exit 1
fi
ok "NVIDIA GPU detected"
fi
# Compose file
if [[ ! -f "$COMPOSE_FILE" ]]; then
err "docker-compose.selfhosted.yml not found at $COMPOSE_FILE"
err "Run this script from the repo root: ./scripts/setup-selfhosted.sh"
exit 1
fi
ok "Prerequisites OK (models=$MODEL_MODE, ollama=$OLLAMA_MODE, garage=$USE_GARAGE, caddy=$USE_CADDY)"
}
# =========================================================
# Step 1: Generate secrets
# =========================================================
step_secrets() {
info "Step 1: Generating secrets"
# These are used in later steps — generate once, reuse
if [[ -f "$SERVER_ENV" ]] && env_has_key "$SERVER_ENV" "SECRET_KEY"; then
SECRET_KEY=$(env_get "$SERVER_ENV" "SECRET_KEY")
if [[ "$SECRET_KEY" != "changeme"* ]]; then
ok "SECRET_KEY already set"
else
SECRET_KEY=$(openssl rand -hex 32)
fi
else
SECRET_KEY=$(openssl rand -hex 32)
fi
if [[ -f "$WWW_ENV" ]] && env_has_key "$WWW_ENV" "NEXTAUTH_SECRET"; then
NEXTAUTH_SECRET=$(env_get "$WWW_ENV" "NEXTAUTH_SECRET")
if [[ "$NEXTAUTH_SECRET" != "changeme"* ]]; then
ok "NEXTAUTH_SECRET already set"
else
NEXTAUTH_SECRET=$(openssl rand -hex 32)
fi
else
NEXTAUTH_SECRET=$(openssl rand -hex 32)
fi
# Generate admin password hash if --password was provided
if [[ -n "$ADMIN_PASSWORD" ]]; then
# Note: $$ escapes are required because docker-compose interprets $ in .env files
ADMIN_PASSWORD_HASH=$(python3 -c "
import hashlib, os
salt = os.urandom(16).hex()
dk = hashlib.pbkdf2_hmac('sha256', '''${ADMIN_PASSWORD}'''.encode('utf-8'), salt.encode('utf-8'), 100000)
print(f'pbkdf2:sha256:100000\$\$' + salt + '\$\$' + dk.hex())
")
ok "Admin password hash generated"
fi
ok "Secrets ready"
}
# =========================================================
# Step 2: Generate server/.env
# =========================================================
step_server_env() {
info "Step 2: Generating server/.env"
if [[ -f "$SERVER_ENV" ]]; then
ok "server/.env already exists — ensuring required vars"
else
cp "$ROOT_DIR/server/.env.selfhosted.example" "$SERVER_ENV"
ok "Created server/.env from template"
fi
# Core infrastructure
env_set "$SERVER_ENV" "DATABASE_URL" "postgresql+asyncpg://reflector:reflector@postgres:5432/reflector"
env_set "$SERVER_ENV" "REDIS_HOST" "redis"
env_set "$SERVER_ENV" "CELERY_BROKER_URL" "redis://redis:6379/1"
env_set "$SERVER_ENV" "CELERY_RESULT_BACKEND" "redis://redis:6379/1"
env_set "$SERVER_ENV" "CELERY_BEAT_POLL_INTERVAL" "300"
env_set "$SERVER_ENV" "SECRET_KEY" "$SECRET_KEY"
# Auth configuration
if [[ -n "$ADMIN_PASSWORD" ]]; then
env_set "$SERVER_ENV" "AUTH_BACKEND" "password"
env_set "$SERVER_ENV" "PUBLIC_MODE" "false"
env_set "$SERVER_ENV" "ADMIN_EMAIL" "admin@localhost"
env_set "$SERVER_ENV" "ADMIN_PASSWORD_HASH" "$ADMIN_PASSWORD_HASH"
ok "Password auth configured (admin@localhost)"
else
local current_auth_backend=""
if env_has_key "$SERVER_ENV" "AUTH_BACKEND"; then
current_auth_backend=$(env_get "$SERVER_ENV" "AUTH_BACKEND")
fi
if [[ "$current_auth_backend" != "jwt" ]]; then
env_set "$SERVER_ENV" "AUTH_BACKEND" "none"
env_set "$SERVER_ENV" "PUBLIC_MODE" "true"
else
ok "Keeping existing auth backend: $current_auth_backend"
fi
fi
# Public-facing URLs
local server_base_url
if [[ -n "$CUSTOM_DOMAIN" ]]; then
server_base_url="https://$CUSTOM_DOMAIN"
elif [[ "$USE_CADDY" == "true" ]]; then
if [[ -n "$PRIMARY_IP" ]]; then
server_base_url="https://$PRIMARY_IP"
else
server_base_url="https://localhost"
fi
else
if [[ -n "$PRIMARY_IP" ]]; then
server_base_url="http://$PRIMARY_IP"
else
server_base_url="http://localhost:1250"
fi
fi
env_set "$SERVER_ENV" "BASE_URL" "$server_base_url"
env_set "$SERVER_ENV" "CORS_ORIGIN" "$server_base_url"
# WebRTC: advertise host IP in ICE candidates so browsers can reach the server
if [[ -n "$PRIMARY_IP" ]]; then
env_set "$SERVER_ENV" "WEBRTC_HOST" "$PRIMARY_IP"
fi
# Specialized models — backend configuration per mode
env_set "$SERVER_ENV" "DIARIZATION_ENABLED" "true"
case "$MODEL_MODE" in
gpu)
# GPU container aliased as "transcription" on docker network
env_set "$SERVER_ENV" "TRANSCRIPT_BACKEND" "modal"
env_set "$SERVER_ENV" "TRANSCRIPT_URL" "http://transcription:8000"
env_set "$SERVER_ENV" "TRANSCRIPT_MODAL_API_KEY" "selfhosted"
env_set "$SERVER_ENV" "DIARIZATION_BACKEND" "modal"
env_set "$SERVER_ENV" "DIARIZATION_URL" "http://transcription:8000"
env_set "$SERVER_ENV" "TRANSLATION_BACKEND" "modal"
env_set "$SERVER_ENV" "TRANSLATE_URL" "http://transcription:8000"
env_set "$SERVER_ENV" "PADDING_BACKEND" "modal"
env_set "$SERVER_ENV" "PADDING_URL" "http://transcription:8000"
ok "ML backends: GPU container (modal)"
;;
cpu)
# In-process backends — no ML service container needed
env_set "$SERVER_ENV" "TRANSCRIPT_BACKEND" "whisper"
env_set "$SERVER_ENV" "DIARIZATION_BACKEND" "pyannote"
env_set "$SERVER_ENV" "TRANSLATION_BACKEND" "marian"
env_set "$SERVER_ENV" "PADDING_BACKEND" "pyav"
ok "ML backends: in-process CPU (whisper/pyannote/marian/pyav)"
;;
hosted)
# Remote GPU service — user provides URL
local gpu_url=""
if env_has_key "$SERVER_ENV" "TRANSCRIPT_URL"; then
gpu_url=$(env_get "$SERVER_ENV" "TRANSCRIPT_URL")
fi
if [[ -z "$gpu_url" ]] && [[ -t 0 ]]; then
echo ""
info "Enter the URL of your remote GPU service (e.g. https://gpu.example.com)"
read -rp " GPU service URL: " gpu_url
fi
if [[ -z "$gpu_url" ]]; then
err "GPU service URL required for --hosted mode."
err "Set TRANSCRIPT_URL in server/.env or provide it interactively."
exit 1
fi
env_set "$SERVER_ENV" "TRANSCRIPT_BACKEND" "modal"
env_set "$SERVER_ENV" "TRANSCRIPT_URL" "$gpu_url"
env_set "$SERVER_ENV" "DIARIZATION_BACKEND" "modal"
env_set "$SERVER_ENV" "DIARIZATION_URL" "$gpu_url"
env_set "$SERVER_ENV" "TRANSLATION_BACKEND" "modal"
env_set "$SERVER_ENV" "TRANSLATE_URL" "$gpu_url"
env_set "$SERVER_ENV" "PADDING_BACKEND" "modal"
env_set "$SERVER_ENV" "PADDING_URL" "$gpu_url"
# API key for remote service
local gpu_api_key=""
if env_has_key "$SERVER_ENV" "TRANSCRIPT_MODAL_API_KEY"; then
gpu_api_key=$(env_get "$SERVER_ENV" "TRANSCRIPT_MODAL_API_KEY")
fi
if [[ -z "$gpu_api_key" ]] && [[ -t 0 ]]; then
read -rp " GPU service API key (or Enter to skip): " gpu_api_key
fi
if [[ -n "$gpu_api_key" ]]; then
env_set "$SERVER_ENV" "TRANSCRIPT_MODAL_API_KEY" "$gpu_api_key"
fi
ok "ML backends: remote hosted ($gpu_url)"
;;
esac
# HuggingFace token for gated models (pyannote diarization)
# --gpu: written to root .env (docker compose passes to GPU container)
# --cpu: written to both root .env and server/.env (in-process pyannote needs it)
# --hosted: not needed (remote service handles its own auth)
if [[ "$MODEL_MODE" != "hosted" ]]; then
local root_env="$ROOT_DIR/.env"
local current_hf_token="${HF_TOKEN:-}"
if [[ -f "$root_env" ]] && env_has_key "$root_env" "HF_TOKEN"; then
current_hf_token=$(env_get "$root_env" "HF_TOKEN")
fi
if [[ -z "$current_hf_token" ]]; then
echo ""
warn "HF_TOKEN not set. Diarization will use a public model fallback."
warn "For best results, get a token at https://huggingface.co/settings/tokens"
warn "and accept pyannote licenses at https://huggingface.co/pyannote/speaker-diarization-3.1"
if [[ -t 0 ]]; then
read -rp " HuggingFace token (or press Enter to skip): " current_hf_token
fi
fi
if [[ -n "$current_hf_token" ]]; then
touch "$root_env"
env_set "$root_env" "HF_TOKEN" "$current_hf_token"
export HF_TOKEN="$current_hf_token"
# In CPU mode, server process needs HF_TOKEN directly
if [[ "$MODEL_MODE" == "cpu" ]]; then
env_set "$SERVER_ENV" "HF_TOKEN" "$current_hf_token"
fi
ok "HF_TOKEN configured"
else
touch "$root_env"
env_set "$root_env" "HF_TOKEN" ""
ok "HF_TOKEN skipped (using public model fallback)"
fi
fi
# LLM configuration
if [[ "$USES_OLLAMA" == "true" ]]; then
local llm_host="$OLLAMA_SVC"
env_set "$SERVER_ENV" "LLM_URL" "http://${llm_host}:11435/v1"
env_set "$SERVER_ENV" "LLM_MODEL" "$OLLAMA_MODEL"
env_set "$SERVER_ENV" "LLM_API_KEY" "not-needed"
ok "LLM configured for local Ollama ($llm_host, model=$OLLAMA_MODEL)"
else
# Check if user already configured LLM
local current_llm_url=""
if env_has_key "$SERVER_ENV" "LLM_URL"; then
current_llm_url=$(env_get "$SERVER_ENV" "LLM_URL")
fi
if [[ -z "$current_llm_url" ]]; then
warn "LLM not configured. Summarization and topic detection will NOT work."
warn "Edit server/.env and set LLM_URL, LLM_API_KEY, LLM_MODEL"
warn "Example: LLM_URL=https://api.openai.com/v1 LLM_MODEL=gpt-4o-mini"
else
ok "LLM already configured: $current_llm_url"
fi
fi
# CPU mode: increase file processing timeouts (default 600s is too short for long audio on CPU)
if [[ "$MODEL_MODE" == "cpu" ]]; then
env_set "$SERVER_ENV" "TRANSCRIPT_FILE_TIMEOUT" "3600"
env_set "$SERVER_ENV" "DIARIZATION_FILE_TIMEOUT" "3600"
ok "CPU mode — file processing timeouts set to 3600s (1 hour)"
fi
# If Daily.co is manually configured, ensure Hatchet connectivity vars are set
if env_has_key "$SERVER_ENV" "DAILY_API_KEY" && [[ -n "$(env_get "$SERVER_ENV" "DAILY_API_KEY")" ]]; then
env_set "$SERVER_ENV" "HATCHET_CLIENT_SERVER_URL" "http://hatchet:8888"
env_set "$SERVER_ENV" "HATCHET_CLIENT_HOST_PORT" "hatchet:7077"
ok "Daily.co detected — Hatchet connectivity configured"
fi
ok "server/.env ready"
}
# =========================================================
# Step 3: Generate www/.env
# =========================================================
step_www_env() {
info "Step 3: Generating www/.env"
if [[ -f "$WWW_ENV" ]]; then
ok "www/.env already exists — ensuring required vars"
else
cp "$ROOT_DIR/www/.env.selfhosted.example" "$WWW_ENV"
ok "Created www/.env from template"
fi
# Public-facing URL for frontend
local base_url
if [[ -n "$CUSTOM_DOMAIN" ]]; then
base_url="https://$CUSTOM_DOMAIN"
elif [[ "$USE_CADDY" == "true" ]]; then
if [[ -n "$PRIMARY_IP" ]]; then
base_url="https://$PRIMARY_IP"
else
base_url="https://localhost"
fi
else
# No Caddy — user's proxy handles SSL. Use http for now, they'll override.
if [[ -n "$PRIMARY_IP" ]]; then
base_url="http://$PRIMARY_IP"
else
base_url="http://localhost"
fi
fi
env_set "$WWW_ENV" "SITE_URL" "$base_url"
env_set "$WWW_ENV" "NEXTAUTH_URL" "$base_url"
env_set "$WWW_ENV" "NEXTAUTH_SECRET" "$NEXTAUTH_SECRET"
env_set "$WWW_ENV" "API_URL" "$base_url"
env_set "$WWW_ENV" "WEBSOCKET_URL" "auto"
env_set "$WWW_ENV" "SERVER_API_URL" "http://server:1250"
env_set "$WWW_ENV" "KV_URL" "redis://redis:6379"
# Auth configuration
if [[ -n "$ADMIN_PASSWORD" ]]; then
env_set "$WWW_ENV" "FEATURE_REQUIRE_LOGIN" "true"
env_set "$WWW_ENV" "AUTH_PROVIDER" "credentials"
ok "Frontend configured for password auth"
else
local current_auth_provider=""
if env_has_key "$WWW_ENV" "AUTH_PROVIDER"; then
current_auth_provider=$(env_get "$WWW_ENV" "AUTH_PROVIDER")
fi
if [[ "$current_auth_provider" != "authentik" ]]; then
env_set "$WWW_ENV" "FEATURE_REQUIRE_LOGIN" "false"
else
ok "Keeping existing auth provider: $current_auth_provider"
fi
fi
# Enable rooms if any video platform is configured in server/.env
local _daily_key="" _whereby_key=""
if env_has_key "$SERVER_ENV" "DAILY_API_KEY"; then
_daily_key=$(env_get "$SERVER_ENV" "DAILY_API_KEY")
fi
if env_has_key "$SERVER_ENV" "WHEREBY_API_KEY"; then
_whereby_key=$(env_get "$SERVER_ENV" "WHEREBY_API_KEY")
fi
if [[ -n "$_daily_key" ]] || [[ -n "$_whereby_key" ]]; then
env_set "$WWW_ENV" "FEATURE_ROOMS" "true"
ok "Rooms feature enabled (video platform configured)"
fi
ok "www/.env ready (URL=$base_url)"
}
# =========================================================
# Step 4: Storage setup
# =========================================================
step_storage() {
info "Step 4: Storage setup"
if [[ "$USE_GARAGE" == "true" ]]; then
step_garage
else
step_external_s3
fi
}
step_garage() {
info "Configuring Garage (local S3)"
# Generate garage.toml from template
local garage_toml="$ROOT_DIR/scripts/garage.toml"
local garage_runtime="$ROOT_DIR/data/garage.toml"
mkdir -p "$ROOT_DIR/data"
if [[ -d "$garage_runtime" ]]; then
rm -rf "$garage_runtime"
fi
if [[ ! -f "$garage_runtime" ]]; then
local rpc_secret
rpc_secret=$(openssl rand -hex 32)
sed "s|__GARAGE_RPC_SECRET__|${rpc_secret}|" "$garage_toml" > "$garage_runtime"
ok "Generated data/garage.toml"
else
ok "data/garage.toml already exists"
fi
# Start garage container only
compose_garage_cmd up -d garage
# Wait for admin API (port 3903 exposed to host for health checks)
local garage_ready=false
for i in $(seq 1 30); do
if curl -sf http://localhost:3903/metrics > /dev/null 2>&1; then
garage_ready=true
break
fi
echo -ne "\r Waiting for Garage admin API... ($i/30)"
sleep 2
done
echo ""
if [[ "$garage_ready" != "true" ]]; then
err "Garage not responding. Check: docker compose logs garage"
exit 1
fi
# Layout
local node_id
node_id=$(compose_garage_cmd exec -T garage /garage node id -q 2>/dev/null | tr -d '[:space:]')
local layout_status
layout_status=$(compose_garage_cmd exec -T garage /garage layout show 2>&1 || true)
if echo "$layout_status" | grep -q "No nodes"; then
compose_garage_cmd exec -T garage /garage layout assign "$node_id" -c 1G -z dc1
compose_garage_cmd exec -T garage /garage layout apply --version 1
fi
# Bucket
if ! compose_garage_cmd exec -T garage /garage bucket info reflector-media &>/dev/null; then
compose_garage_cmd exec -T garage /garage bucket create reflector-media
fi
# Key
local created_key=false
if compose_garage_cmd exec -T garage /garage key info reflector &>/dev/null; then
ok "Key 'reflector' already exists"
else
KEY_OUTPUT=$(compose_garage_cmd exec -T garage /garage key create reflector)
created_key=true
fi
# Permissions
compose_garage_cmd exec -T garage /garage bucket allow reflector-media --read --write --key reflector
# Write S3 credentials to server/.env
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_BACKEND" "aws"
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL" "http://garage:3900"
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_BUCKET_NAME" "reflector-media"
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_REGION" "garage"
if [[ "$created_key" == "true" ]]; then
local key_id key_secret
key_id=$(echo "$KEY_OUTPUT" | grep -i "key id" | awk '{print $NF}')
key_secret=$(echo "$KEY_OUTPUT" | grep -i "secret key" | awk '{print $NF}')
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID" "$key_id"
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY" "$key_secret"
fi
ok "Garage storage ready"
}
step_external_s3() {
info "Checking external S3 configuration"
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_BACKEND" "aws"
local s3_vars=("TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID" "TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY" "TRANSCRIPT_STORAGE_AWS_BUCKET_NAME" "TRANSCRIPT_STORAGE_AWS_REGION")
local missing=()
for var in "${s3_vars[@]}"; do
if ! env_has_key "$SERVER_ENV" "$var" || [[ -z "$(env_get "$SERVER_ENV" "$var")" ]]; then
missing+=("$var")
fi
done
if [[ ${#missing[@]} -gt 0 ]]; then
warn "S3 storage is REQUIRED. The following vars are missing in server/.env:"
for var in "${missing[@]}"; do
warn " $var"
done
echo ""
info "Enter S3 credentials (or press Ctrl+C to abort and edit server/.env manually):"
echo ""
for var in "${missing[@]}"; do
local prompt_label
case "$var" in
*ACCESS_KEY_ID) prompt_label="Access Key ID" ;;
*SECRET_ACCESS_KEY) prompt_label="Secret Access Key" ;;
*BUCKET_NAME) prompt_label="Bucket Name" ;;
*REGION) prompt_label="Region (e.g. us-east-1)" ;;
esac
local value=""
while [[ -z "$value" ]]; do
read -rp " $prompt_label: " value
done
env_set "$SERVER_ENV" "$var" "$value"
done
# Optional: endpoint URL for non-AWS S3
echo ""
read -rp " S3 Endpoint URL (leave empty for AWS, or enter for MinIO/etc.): " endpoint_url
if [[ -n "$endpoint_url" ]]; then
env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL" "$endpoint_url"
fi
fi
ok "S3 storage configured"
}
# =========================================================
# Step 5: Caddyfile
# =========================================================
step_caddyfile() {
if [[ "$USE_CADDY" != "true" ]]; then
return
fi
info "Step 5: Caddyfile setup"
local caddyfile="$ROOT_DIR/Caddyfile"
if [[ -d "$caddyfile" ]]; then
rm -rf "$caddyfile"
fi
if [[ -n "$CUSTOM_DOMAIN" ]]; then
# Real domain: Caddy auto-provisions Let's Encrypt certificate
cat > "$caddyfile" << CADDYEOF
# Generated by setup-selfhosted.sh — Let's Encrypt HTTPS for $CUSTOM_DOMAIN
$CUSTOM_DOMAIN {
handle /v1/* {
reverse_proxy server:1250
}
handle /health {
reverse_proxy server:1250
}
handle {
reverse_proxy web:3000
}
}
CADDYEOF
ok "Created Caddyfile for $CUSTOM_DOMAIN (Let's Encrypt auto-HTTPS)"
elif [[ -n "$PRIMARY_IP" ]]; then
# No domain, IP only: catch-all :443 with self-signed cert
# (IP connections don't send SNI, so we can't match by address)
cat > "$caddyfile" << CADDYEOF
# Generated by setup-selfhosted.sh — self-signed cert for IP access
:443 {
tls internal
handle /v1/* {
reverse_proxy server:1250
}
handle /health {
reverse_proxy server:1250
}
handle {
reverse_proxy web:3000
}
}
CADDYEOF
ok "Created Caddyfile for $PRIMARY_IP (catch-all :443 with self-signed cert)"
elif [[ ! -f "$caddyfile" ]]; then
cp "$ROOT_DIR/Caddyfile.selfhosted.example" "$caddyfile"
ok "Created Caddyfile from template"
else
ok "Caddyfile already exists"
fi
# Add Hatchet dashboard route if Daily.co is detected
if [[ "$DAILY_DETECTED" == "true" ]]; then
if ! grep -q "hatchet" "$caddyfile" 2>/dev/null; then
cat >> "$caddyfile" << CADDYEOF
# Hatchet workflow dashboard (Daily.co multitrack processing)
:8888 {
tls internal
reverse_proxy hatchet:8888
}
CADDYEOF
ok "Added Hatchet dashboard route to Caddyfile (port 8888)"
else
ok "Hatchet dashboard route already in Caddyfile"
fi
fi
}
# =========================================================
# Step 6: Start services
# =========================================================
step_services() {
info "Step 6: Starting Docker services"
# Build GPU image from source (only for --gpu mode)
if [[ "$MODEL_MODE" == "gpu" ]]; then
info "Building gpu image (first build downloads ML models, may take a while)..."
compose_cmd build gpu
ok "gpu image built"
fi
# Build or pull backend and frontend images
if [[ "$BUILD_IMAGES" == "true" ]]; then
info "Building backend image from source (server, worker, beat)..."
compose_cmd build server worker beat
ok "Backend image built"
info "Building frontend image from source..."
compose_cmd build web
ok "Frontend image built"
else
info "Pulling latest backend and frontend images..."
compose_cmd pull server web || warn "Pull failed — using cached images"
fi
# Build hatchet workers if Daily.co is configured (same backend image)
if [[ "$DAILY_DETECTED" == "true" ]] && [[ "$BUILD_IMAGES" == "true" ]]; then
info "Building Hatchet worker images..."
compose_cmd build hatchet-worker-cpu hatchet-worker-llm
ok "Hatchet worker images built"
fi
# Ensure hatchet database exists before starting hatchet (init-hatchet-db.sql only runs on fresh postgres volumes)
if [[ "$DAILY_DETECTED" == "true" ]]; then
info "Ensuring postgres is running for Hatchet database setup..."
compose_cmd up -d postgres
local pg_ready=false
for i in $(seq 1 30); do
if compose_cmd exec -T postgres pg_isready -U reflector > /dev/null 2>&1; then
pg_ready=true
break
fi
sleep 2
done
if [[ "$pg_ready" == "true" ]]; then
compose_cmd exec -T postgres psql -U reflector -tc \
"SELECT 1 FROM pg_database WHERE datname = 'hatchet'" 2>/dev/null \
| grep -q 1 \
|| compose_cmd exec -T postgres psql -U reflector -c "CREATE DATABASE hatchet" 2>/dev/null \
|| true
ok "Hatchet database ready"
else
warn "Postgres not ready — hatchet database may need to be created manually"
fi
fi
# Start all services
compose_cmd up -d
ok "Containers started"
# Quick sanity check
sleep 3
local exited
exited=$(compose_cmd ps -a --format '{{.Name}} {{.Status}}' 2>/dev/null \
| grep -i 'exit' || true)
if [[ -n "$exited" ]]; then
warn "Some containers exited immediately:"
echo "$exited" | while read -r line; do warn " $line"; done
dump_diagnostics
fi
}
# =========================================================
# Step 7: Health checks
# =========================================================
step_health() {
info "Step 7: Health checks"
# Specialized model service (only for --gpu mode)
if [[ "$MODEL_MODE" == "gpu" ]]; then
info "Waiting for gpu service (first start downloads ~1GB of models)..."
local model_ok=false
for i in $(seq 1 120); do
if curl -sf http://localhost:8000/docs > /dev/null 2>&1; then
model_ok=true
break
fi
echo -ne "\r Waiting for gpu service... ($i/120)"
sleep 5
done
echo ""
if [[ "$model_ok" == "true" ]]; then
ok "gpu service healthy (transcription + diarization)"
else
warn "gpu service not ready yet — it will keep loading in the background"
warn "Check with: docker compose -f docker-compose.selfhosted.yml logs gpu"
fi
elif [[ "$MODEL_MODE" == "cpu" ]]; then
ok "CPU mode — ML processing runs in-process on server/worker (no separate service)"
elif [[ "$MODEL_MODE" == "hosted" ]]; then
ok "Hosted mode — ML processing via remote GPU service (no local health check)"
fi
# Ollama (if applicable)
if [[ "$USES_OLLAMA" == "true" ]]; then
info "Waiting for Ollama service..."
local ollama_ok=false
for i in $(seq 1 60); do
if curl -sf http://localhost:11435/api/tags > /dev/null 2>&1; then
ollama_ok=true
break
fi
echo -ne "\r Waiting for Ollama... ($i/60)"
sleep 3
done
echo ""
if [[ "$ollama_ok" == "true" ]]; then
ok "Ollama service healthy"
# Pull model if not present
if compose_cmd exec -T "$OLLAMA_SVC" ollama list 2>/dev/null | awk '{print $1}' | grep -qxF "$OLLAMA_MODEL"; then
ok "Model $OLLAMA_MODEL already pulled"
else
info "Pulling model $OLLAMA_MODEL (this may take a while)..."
compose_cmd exec -T "$OLLAMA_SVC" ollama pull "$OLLAMA_MODEL"
ok "Model $OLLAMA_MODEL pulled"
fi
else
warn "Ollama not ready yet. Check: docker compose logs $OLLAMA_SVC"
fi
fi
# Server API
info "Waiting for Server API (first run includes database migrations)..."
local server_ok=false
for i in $(seq 1 90); do
local svc_status
svc_status=$(compose_cmd ps server --format '{{.Status}}' 2>/dev/null || true)
if [[ -z "$svc_status" ]] || echo "$svc_status" | grep -qi 'exit'; then
echo ""
err "Server container exited unexpectedly"
dump_diagnostics server
exit 1
fi
if curl -sf http://localhost:1250/health > /dev/null 2>&1; then
server_ok=true
break
fi
echo -ne "\r Waiting for Server API... ($i/90)"
sleep 5
done
echo ""
if [[ "$server_ok" == "true" ]]; then
ok "Server API healthy"
else
err "Server API not ready after ~7 minutes"
dump_diagnostics server
exit 1
fi
# Frontend
info "Waiting for Frontend..."
local web_ok=false
for i in $(seq 1 30); do
if curl -sf http://localhost:3000 > /dev/null 2>&1; then
web_ok=true
break
fi
echo -ne "\r Waiting for Frontend... ($i/30)"
sleep 3
done
echo ""
if [[ "$web_ok" == "true" ]]; then
ok "Frontend healthy"
else
warn "Frontend not responding. Check: docker compose logs web"
fi
# Caddy
if [[ "$USE_CADDY" == "true" ]]; then
sleep 2
if curl -sfk "https://localhost" > /dev/null 2>&1; then
ok "Caddy proxy healthy"
else
warn "Caddy proxy not responding. Check: docker compose logs caddy"
fi
fi
# Hatchet (if Daily.co detected)
if [[ "$DAILY_DETECTED" == "true" ]]; then
info "Waiting for Hatchet workflow engine..."
local hatchet_ok=false
for i in $(seq 1 60); do
if curl -sf http://localhost:8888/api/live > /dev/null 2>&1; then
hatchet_ok=true
break
fi
echo -ne "\r Waiting for Hatchet... ($i/60)"
sleep 3
done
echo ""
if [[ "$hatchet_ok" == "true" ]]; then
ok "Hatchet workflow engine healthy"
else
warn "Hatchet not ready yet. Check: docker compose logs hatchet"
fi
fi
# LLM warning for non-Ollama modes
if [[ "$USES_OLLAMA" == "false" ]]; then
local llm_url=""
if env_has_key "$SERVER_ENV" "LLM_URL"; then
llm_url=$(env_get "$SERVER_ENV" "LLM_URL")
fi
if [[ -z "$llm_url" ]]; then
echo ""
warn "LLM is not configured. Transcription will work, but:"
warn " - Summaries will NOT be generated"
warn " - Topics will NOT be detected"
warn " - Titles will NOT be auto-generated"
warn "Configure in server/.env: LLM_URL, LLM_API_KEY, LLM_MODEL"
fi
fi
}
# =========================================================
# Step 8: Hatchet token generation (Daily.co only)
# =========================================================
step_hatchet_token() {
if [[ "$DAILY_DETECTED" != "true" ]]; then
return
fi
# Skip if token already set
if env_has_key "$SERVER_ENV" "HATCHET_CLIENT_TOKEN" && [[ -n "$(env_get "$SERVER_ENV" "HATCHET_CLIENT_TOKEN")" ]]; then
ok "HATCHET_CLIENT_TOKEN already set — skipping generation"
return
fi
info "Step 8: Generating Hatchet API token"
# Wait for hatchet to be healthy
local hatchet_ok=false
for i in $(seq 1 60); do
if curl -sf http://localhost:8888/api/live > /dev/null 2>&1; then
hatchet_ok=true
break
fi
echo -ne "\r Waiting for Hatchet API... ($i/60)"
sleep 3
done
echo ""
if [[ "$hatchet_ok" != "true" ]]; then
err "Hatchet not responding — cannot generate token"
err "Check: docker compose logs hatchet"
return
fi
# Get tenant ID from hatchet database
local tenant_id
tenant_id=$(compose_cmd exec -T postgres psql -U reflector -d hatchet -t -c \
"SELECT id FROM \"Tenant\" WHERE slug = 'default';" 2>/dev/null | tr -d ' \n')
if [[ -z "$tenant_id" ]]; then
err "Could not find default tenant in Hatchet database"
err "Hatchet may still be initializing. Try re-running the script."
return
fi
# Generate token via hatchet-admin
local token
token=$(compose_cmd exec -T hatchet /hatchet-admin token create \
--config /config --tenant-id "$tenant_id" 2>/dev/null | tr -d '\n')
if [[ -z "$token" ]]; then
err "Failed to generate Hatchet token"
err "Try generating manually: see server/README.md"
return
fi
env_set "$SERVER_ENV" "HATCHET_CLIENT_TOKEN" "$token"
ok "HATCHET_CLIENT_TOKEN generated and saved to server/.env"
# Restart services that need the token
info "Restarting services with new Hatchet token..."
compose_cmd restart server worker hatchet-worker-cpu hatchet-worker-llm
ok "Services restarted with Hatchet token"
}
# =========================================================
# Main
# =========================================================
main() {
echo ""
echo "=========================================="
echo " Reflector — Self-Hosted Production Setup"
echo "=========================================="
echo ""
echo " Models: $MODEL_MODE"
echo " LLM: ${OLLAMA_MODE:-external}"
echo " Garage: $USE_GARAGE"
echo " Caddy: $USE_CADDY"
[[ -n "$CUSTOM_DOMAIN" ]] && echo " Domain: $CUSTOM_DOMAIN"
[[ "$BUILD_IMAGES" == "true" ]] && echo " Build: from source"
echo ""
# Detect primary IP
PRIMARY_IP=""
if [[ "$OS" == "Linux" ]]; then
PRIMARY_IP=$(hostname -I 2>/dev/null | awk '{print $1}' || true)
if [[ "$PRIMARY_IP" == "127."* ]] || [[ -z "$PRIMARY_IP" ]]; then
PRIMARY_IP=$(ip -4 route get 1 2>/dev/null | sed -n 's/.*src \([0-9.]*\).*/\1/p' || true)
fi
fi
# Touch env files so compose doesn't complain about missing env_file
mkdir -p "$ROOT_DIR/data"
touch "$SERVER_ENV" "$WWW_ENV"
# Ensure garage.toml exists if garage profile is active (compose needs it for volume mount)
if [[ "$USE_GARAGE" == "true" ]]; then
local garage_runtime="$ROOT_DIR/data/garage.toml"
if [[ ! -f "$garage_runtime" ]]; then
local rpc_secret
rpc_secret=$(openssl rand -hex 32)
sed "s|__GARAGE_RPC_SECRET__|${rpc_secret}|" "$ROOT_DIR/scripts/garage.toml" > "$garage_runtime"
fi
fi
step_prerequisites
echo ""
step_secrets
echo ""
step_server_env
echo ""
# Auto-detect video platforms from server/.env (after step_server_env so file exists)
DAILY_DETECTED=false
WHEREBY_DETECTED=false
if env_has_key "$SERVER_ENV" "DAILY_API_KEY" && [[ -n "$(env_get "$SERVER_ENV" "DAILY_API_KEY")" ]]; then
DAILY_DETECTED=true
fi
if env_has_key "$SERVER_ENV" "WHEREBY_API_KEY" && [[ -n "$(env_get "$SERVER_ENV" "WHEREBY_API_KEY")" ]]; then
WHEREBY_DETECTED=true
fi
ANY_PLATFORM_DETECTED=false
[[ "$DAILY_DETECTED" == "true" || "$WHEREBY_DETECTED" == "true" ]] && ANY_PLATFORM_DETECTED=true
# Conditional profile activation for Daily.co
if [[ "$DAILY_DETECTED" == "true" ]]; then
COMPOSE_PROFILES+=("dailyco")
ok "Daily.co detected — enabling Hatchet workflow services"
fi
# Generate .env.hatchet for hatchet dashboard config
if [[ "$DAILY_DETECTED" == "true" ]]; then
local hatchet_server_url hatchet_cookie_domain
if [[ -n "$CUSTOM_DOMAIN" ]]; then
hatchet_server_url="https://${CUSTOM_DOMAIN}:8888"
hatchet_cookie_domain="$CUSTOM_DOMAIN"
elif [[ -n "$PRIMARY_IP" ]]; then
hatchet_server_url="http://${PRIMARY_IP}:8888"
hatchet_cookie_domain="$PRIMARY_IP"
else
hatchet_server_url="http://localhost:8888"
hatchet_cookie_domain="localhost"
fi
cat > "$ROOT_DIR/.env.hatchet" << EOF
SERVER_URL=$hatchet_server_url
SERVER_AUTH_COOKIE_DOMAIN=$hatchet_cookie_domain
EOF
ok "Generated .env.hatchet (dashboard URL=$hatchet_server_url)"
else
# Create empty .env.hatchet so compose doesn't fail if dailyco profile is ever activated manually
touch "$ROOT_DIR/.env.hatchet"
fi
step_www_env
echo ""
step_storage
echo ""
step_caddyfile
echo ""
step_services
echo ""
step_health
echo ""
step_hatchet_token
echo ""
echo "=========================================="
echo -e " ${GREEN}Reflector is running!${NC}"
echo "=========================================="
echo ""
if [[ "$USE_CADDY" == "true" ]]; then
if [[ -n "$CUSTOM_DOMAIN" ]]; then
echo " App: https://$CUSTOM_DOMAIN"
echo " API: https://$CUSTOM_DOMAIN/v1/"
elif [[ -n "$PRIMARY_IP" ]]; then
echo " App: https://$PRIMARY_IP (accept self-signed cert in browser)"
echo " API: https://$PRIMARY_IP/v1/"
echo " Local: https://localhost"
else
echo " App: https://localhost (accept self-signed cert in browser)"
echo " API: https://localhost/v1/"
fi
else
echo " No Caddy — point your reverse proxy at:"
echo " Frontend: web:3000 (or localhost:3000 from host)"
echo " API: server:1250 (or localhost:1250 from host)"
fi
echo ""
echo " Models: $MODEL_MODE (transcription/diarization/translation)"
[[ "$USE_GARAGE" == "true" ]] && echo " Storage: Garage (local S3)"
[[ "$USE_GARAGE" != "true" ]] && echo " Storage: External S3"
[[ "$USES_OLLAMA" == "true" ]] && echo " LLM: Ollama ($OLLAMA_MODEL) for summarization/topics"
[[ "$USES_OLLAMA" != "true" ]] && echo " LLM: External (configure in server/.env)"
[[ "$DAILY_DETECTED" == "true" ]] && echo " Video: Daily.co (live rooms + multitrack processing via Hatchet)"
[[ "$WHEREBY_DETECTED" == "true" ]] && echo " Video: Whereby (live rooms)"
[[ "$ANY_PLATFORM_DETECTED" != "true" ]] && echo " Video: None (rooms disabled)"
echo ""
echo " To stop: docker compose -f docker-compose.selfhosted.yml down"
echo " To re-run: ./scripts/setup-selfhosted.sh $*"
echo ""
}
main "$@"