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10 changes: 10 additions & 0 deletions testapps/compose.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -585,3 +585,13 @@ services:
depends_on:
dev-collector:
condition: service_started

py-standalone:
build:
dockerfile: testapps/standalone-py/Dockerfile
context: ../
restart: always
depends_on:
dev-collector:
condition: service_started

21 changes: 21 additions & 0 deletions testapps/py-immich/.env
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# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables

# The location where your uploaded files are stored
UPLOAD_LOCATION=./library
# The location where your database files are stored
DB_DATA_LOCATION=./postgres

# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
# TZ=Etc/UTC

# The Immich version to use. You can pin this to a specific version like "v1.71.0"
IMMICH_VERSION=release

# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
DB_PASSWORD=postgres

# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich
2 changes: 2 additions & 0 deletions testapps/py-immich/.gitignore
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@@ -0,0 +1,2 @@
library/
postgres
97 changes: 97 additions & 0 deletions testapps/py-immich/docker-compose.yml
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#
# WARNING: Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
#

name: immich

services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
# extends:
# file: hwaccel.transcoding.yml
# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
volumes:
# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ports:
- '2283:2283'
depends_on:
- redis
- database
restart: always
healthcheck:
disable: false

immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
# image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
build:
dockerfile: immich_machine_learning.dockerfile
context: .
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
healthcheck:
disable: false

redis:
container_name: immich_redis
image: docker.io/redis:6.2-alpine@sha256:2ba50e1ac3a0ea17b736ce9db2b0a9f6f8b85d4c27d5f5accc6a416d8f42c6d5
healthcheck:
test: redis-cli ping || exit 1
restart: always

database:
container_name: immich_postgres
image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
volumes:
# Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
healthcheck:
test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
interval: 5m
start_interval: 30s
start_period: 5m
command: [ 'postgres', '-c', 'shared_preload_libraries=vectors.so', '-c', 'search_path="$$user", public, vectors', '-c', 'logging_collector=on', '-c', 'max_wal_size=2GB', '-c', 'shared_buffers=512MB', '-c', 'wal_compression=on' ]
restart: always

# add pinpoint-collector-agent
dev-collector:
restart: always
image: ghcr.io/pinpoint-apm/pinpoint-c-agent/collector-agent:0.7

environment:
- PP_COLLECTOR_AGENT_SPAN_IP=dev-pinpoint
- PP_COLLECTOR_AGENT_SPAN_PORT=9993
- PP_COLLECTOR_AGENT_AGENT_IP=dev-pinpoint
- PP_COLLECTOR_AGENT_AGENT_PORT=9991
- PP_COLLECTOR_AGENT_STAT_IP=dev-pinpoint
- PP_COLLECTOR_AGENT_STAT_PORT=9992
- PP_COLLECTOR_AGENT_ISDOCKER=true
- PP_Log_Level=DEBUG
- PP_ADDRESS=0.0.0.0@10000
volumes:
- /etc/hosts:/etc/hosts

volumes:
model-cache:
43 changes: 43 additions & 0 deletions testapps/py-immich/hwaccel.ml.yml
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# Configurations for hardware-accelerated machine learning

# If using Unraid or another platform that doesn't allow multiple Compose files,
# you can inline the config for a backend by copying its contents
# into the immich-machine-learning service in the docker-compose.yml file.

# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.

services:
armnn:
devices:
- /dev/mali0:/dev/mali0
volumes:
- /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
- /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)

cpu: {}

cuda:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities:
- gpu

openvino:
device_cgroup_rules:
- 'c 189:* rmw'
devices:
- /dev/dri:/dev/dri
volumes:
- /dev/bus/usb:/dev/bus/usb

openvino-wsl:
devices:
- /dev/dri:/dev/dri
- /dev/dxg:/dev/dxg
volumes:
- /dev/bus/usb:/dev/bus/usb
- /usr/lib/wsl:/usr/lib/wsl
54 changes: 54 additions & 0 deletions testapps/py-immich/hwaccel.transcoding.yml
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# Configurations for hardware-accelerated transcoding

# If using Unraid or another platform that doesn't allow multiple Compose files,
# you can inline the config for a backend by copying its contents
# into the immich-microservices service in the docker-compose.yml file.

# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding.

services:
cpu: {}

nvenc:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities:
- gpu
- compute
- video

quicksync:
devices:
- /dev/dri:/dev/dri

rkmpp:
security_opt: # enables full access to /sys and /proc, still far better than privileged: true
- systempaths=unconfined
- apparmor=unconfined
group_add:
- video
devices:
- /dev/rga:/dev/rga
- /dev/dri:/dev/dri
- /dev/dma_heap:/dev/dma_heap
- /dev/mpp_service:/dev/mpp_service
#- /dev/mali0:/dev/mali0 # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
volumes:
#- /etc/OpenCL:/etc/OpenCL:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
#- /usr/lib/aarch64-linux-gnu/libmali.so.1:/usr/lib/aarch64-linux-gnu/libmali.so.1:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping

vaapi:
devices:
- /dev/dri:/dev/dri

vaapi-wsl: # use this for VAAPI if you're running Immich in WSL2
devices:
- /dev/dri:/dev/dri
volumes:
- /usr/lib/wsl:/usr/lib/wsl
environment:
- LIBVA_DRIVER_NAME=d3d12
Binary file added testapps/py-immich/image.png
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8 changes: 8 additions & 0 deletions testapps/py-immich/immich_machine_learning.dockerfile
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FROM ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}

# RUN apt update && apt install -y gcc g++
# COPY pinpointpy-1.4.0.tar.gz /usr/src/app/pinpointpy-1.4.0.tar.gz
# RUN pip install /usr/src/app/pinpointpy-1.4.0.tar.gz
RUN pip install starlette-context && pip install starlette
RUN pip install -i https://test.pypi.org/simple/ pinpointPy==1.4.0
COPY main.py /usr/src/app/main.py
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