chore: create script for selfhosted reflector (#866)

* self hosted with self gpu

* add optional ollama model

* garage ports

* exposes ports and changes curl

* custom domain

* try to fix wroker

* build locallly

* documentation

* docs format

* precommit

server/.env.selfhosted.example

@@ -0,0 +1,112 @@
+# =======================================================
+# Reflector Self-Hosted Production — Backend Configuration
+# Generated by: ./scripts/setup-selfhosted.sh
+# Reference: server/reflector/settings.py
+# =======================================================
+
+# =======================================================
+# Database & Infrastructure
+# Pre-filled for Docker internal networking (docker-compose.selfhosted.yml)
+# =======================================================
+DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
+REDIS_HOST=redis
+REDIS_PORT=6379
+CELERY_BROKER_URL=redis://redis:6379/1
+CELERY_RESULT_BACKEND=redis://redis:6379/1
+
+# Secret key — auto-generated by setup script
+# Generate manually with: openssl rand -hex 32
+SECRET_KEY=changeme-generate-a-secure-random-string
+
+# =======================================================
+# Authentication
+# Disabled by default. Enable Authentik for multi-user access.
+# See docsv2/selfhosted-production.md for setup instructions.
+# =======================================================
+AUTH_BACKEND=none
+# AUTH_BACKEND=jwt
+# AUTH_JWT_AUDIENCE=
+
+# =======================================================
+# Specialized Models (Transcription, Diarization, Translation)
+# These run in the gpu/cpu container — NOT an LLM.
+# The "modal" backend means "HTTP API client" — it talks to
+# the self-hosted container, not Modal.com cloud.
+# =======================================================
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=http://transcription:8000
+TRANSCRIPT_MODAL_API_KEY=selfhosted
+
+DIARIZATION_ENABLED=true
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=http://transcription:8000
+
+TRANSLATION_BACKEND=modal
+TRANSLATE_URL=http://transcription:8000
+
+# HuggingFace token — optional, for gated models (e.g. pyannote).
+# Falls back to public S3 model bundle if not set.
+# HF_TOKEN=hf_xxxxx
+
+# =======================================================
+# LLM for Summarization & Topic Detection
+# Only summaries and topics use an LLM. Everything else
+# (transcription, diarization, translation) uses specialized models above.
+#
+# Supports any OpenAI-compatible endpoint.
+# Auto-configured by setup script if using --ollama-gpu or --ollama-cpu.
+# For --gpu or --cpu modes, you MUST configure an external LLM.
+# =======================================================
+
+# --- Option A: External OpenAI-compatible API ---
+# LLM_URL=https://api.openai.com/v1
+# LLM_API_KEY=sk-your-api-key
+# LLM_MODEL=gpt-4o-mini
+
+# --- Option B: Local Ollama (auto-set by --ollama-gpu/--ollama-cpu) ---
+# LLM_URL=http://ollama:11434/v1
+# LLM_API_KEY=not-needed
+# LLM_MODEL=llama3.1
+
+LLM_CONTEXT_WINDOW=16000
+
+# =======================================================
+# S3 Storage (REQUIRED)
+# Where to store audio files and transcripts.
+#
+# Option A: Use --garage flag (auto-configured by setup script)
+# Option B: Any S3-compatible endpoint (AWS, MinIO, etc.)
+#           Set TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL for non-AWS endpoints.
+# =======================================================
+TRANSCRIPT_STORAGE_BACKEND=aws
+TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=
+TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=
+TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=reflector-media
+TRANSCRIPT_STORAGE_AWS_REGION=us-east-1
+
+# For non-AWS S3-compatible endpoints (Garage, MinIO, etc.):
+# TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL=http://garage:3900
+
+# =======================================================
+# Daily.co Live Rooms (Optional)
+# Enable real-time meeting rooms with Daily.co integration.
+# Requires a Daily.co account: https://www.daily.co/
+# =======================================================
+# DEFAULT_VIDEO_PLATFORM=daily
+# DAILY_API_KEY=your-daily-api-key
+# DAILY_SUBDOMAIN=your-subdomain
+# DAILY_WEBHOOK_SECRET=your-daily-webhook-secret
+# DAILYCO_STORAGE_AWS_BUCKET_NAME=reflector-dailyco
+# DAILYCO_STORAGE_AWS_REGION=us-east-1
+# DAILYCO_STORAGE_AWS_ROLE_ARN=arn:aws:iam::role/DailyCoAccess
+
+# =======================================================
+# Feature Flags
+# =======================================================
+PUBLIC_MODE=true
+# FEATURE_ROOMS=true
+
+# =======================================================
+# Sentry (Optional)
+# =======================================================
+# SENTRY_DSN=

server/reflector/asynctask.py

@@ -4,8 +4,9 @@ from uuid import uuid4
 
 from celery import current_task
 
-from reflector.db import get_database
+from reflector.db import _database_context, get_database
 from reflector.llm import llm_session_id
+from reflector.ws_manager import reset_ws_manager
 
 
 def asynctask(f):
@@ -20,6 +21,14 @@ def asynctask(f):
                 return await f(*args, **kwargs)
             finally:
                 await database.disconnect()
+                _database_context.set(None)
+
+        if current_task:
+            # Reset cached connections before each Celery task.
+            # Each asyncio.run() creates a new event loop, making connections
+            # from previous tasks stale ("Future attached to a different loop").
+            _database_context.set(None)
+            reset_ws_manager()
 
         coro = run_with_db()
         if current_task: