sandrodachandClaude Opus 5.5
e385a44fb9
MindSift CI & Docker Release / Build, Test in Container & Push (push) Successful in 8s
- docker-compose.yml only maps variables; every variable is explained in .env.example (German, with defaults, units and choices). - The whisper service is a commented block to switch on instead of a compose profile. - TZ, TRUSTED_PROXIES, LOGIN_PROTECTION, DEMO_RESET_MINUTES and LEGAL_*_CONTENT are now passed through (they had no effect from .env). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
72 lines
3.1 KiB
YAML
72 lines
3.1 KiB
YAML
# MindSift – Docker Compose
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# Eingestellt wird alles in der Datei .env neben dieser Datei. Was jede Variable bewirkt, steht in
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# .env.example (kopieren: cp .env.example .env). Hier stehen nur die Zuordnungen mit Standardwerten.
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services:
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mindsift:
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image: git.dsit.me/sandrodach/mindsift:dev
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container_name: mindsift
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restart: unless-stopped
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ports:
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- "${PORT:-8080}:8080"
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volumes:
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- ./data:/data
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environment:
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- PORT=8080
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- DATA_DIR=/data
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- TZ=${TZ:-Europe/Berlin}
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- JWT_SECRET=${JWT_SECRET:-change_this_to_a_secure_random_key_min_32_chars}
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- BASE_URL=${BASE_URL:-http://localhost:8080}
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- ALLOW_REGISTRATION=${ALLOW_REGISTRATION:-false}
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- TRUSTED_PROXIES=${TRUSTED_PROXIES:-private}
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- LOGIN_PROTECTION=${LOGIN_PROTECTION:-true}
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- LOG_LEVEL=${LOG_LEVEL:-info}
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- DEBUG=${DEBUG:-false}
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- MINDA_DEMO=${MINDA_DEMO:-false}
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- DEMO_RESET_MINUTES=${DEMO_RESET_MINUTES:-20}
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# E-Mail
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- SMTP_HOST=${SMTP_HOST:-}
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- SMTP_PORT=${SMTP_PORT:-587}
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- SMTP_USER=${SMTP_USER:-}
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- SMTP_PASS=${SMTP_PASS:-}
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- SMTP_FROM=${SMTP_FROM:-}
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- SMTP_TLS=${SMTP_TLS:-true}
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- SMTP_SKIP_VERIFY=${SMTP_SKIP_VERIFY:-false}
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# Impressum / Datenschutz
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- LEGAL_IMPRINT_URL=${LEGAL_IMPRINT_URL:-}
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- LEGAL_PRIVACY_URL=${LEGAL_PRIVACY_URL:-}
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- LEGAL_IMPRINT_CONTENT=${LEGAL_IMPRINT_CONTENT:-}
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- LEGAL_PRIVACY_CONTENT=${LEGAL_PRIVACY_CONTENT:-}
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- LEGAL_IMPRINT_CONTENT_FILE=${LEGAL_IMPRINT_CONTENT_FILE:-}
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- LEGAL_PRIVACY_CONTENT_FILE=${LEGAL_PRIVACY_CONTENT_FILE:-}
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# Spracherkennung
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- STT_URL=${STT_URL:-}
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- STT_MODEL=${STT_MODEL:-deepdml/faster-whisper-large-v3-turbo-ct2}
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- STT_LANGUAGE=${STT_LANGUAGE:-de}
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- STT_API_KEY=${STT_API_KEY:-}
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- STT_DISABLED=${STT_DISABLED:-false}
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- STT_MAX_SECONDS=${STT_MAX_SECONDS:-600}
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- STT_MAX_UPLOAD_MB=${STT_MAX_UPLOAD_MB:-25}
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- STT_MAX_PARALLEL=${STT_MAX_PARALLEL:-1}
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- STT_PER_USER_PER_HOUR=${STT_PER_USER_PER_HOUR:-60}
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- STT_TIMEOUT_SECONDS=${STT_TIMEOUT_SECONDS:-120}
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# Optional: eigene Spracherkennung (Whisper). Zum Einschalten:
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# 1. die Rauten vor dem Block "whisper" unten entfernen
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# 2. in .env setzen: STT_URL=http://whisper:8000
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# 3. mkdir -p whisper && sudo chown 1000:1000 whisper (der Container läuft als UID 1000)
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# 4. docker compose up -d
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# Das Modell lädt MindSift beim ersten Start selbst nach ./whisper (large-v3-turbo ca. 1,6 GB).
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# RAM: large-v3-turbo ca. 2 GB, small ca. 1 GB. Kein Port nach außen nötig.
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#
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# whisper:
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# image: ghcr.io/speaches-ai/speaches:0.8.3-cpu
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# container_name: mindsift-whisper
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# restart: unless-stopped
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# volumes:
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# - ./whisper:/home/ubuntu/.cache/huggingface/hub
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# environment:
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# - WHISPER__COMPUTE_TYPE=int8 # schneller auf der CPU, kaum Qualitätsverlust
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# - STT_MODEL_TTL=-1 # Modell im Speicher halten statt nach 5 Min. zu entladen
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# - ENABLE_UI=false # ohne die Weboberfläche von speaches
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# - LOG_LEVEL=info
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