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but getting 250 assets, which are not archived, while I've about ~2300 archived photos.
{
"albums": {
"total": 0,
"count": 0,
"items": [],
"facets": []
},
"assets": {
"total": 250,
"count": 250,
"items": [...
],
"facets": [],
"nextPage": "2"
}
}
``
### The OS that Immich Server is running on
Debian
### Version of Immich Server
v1.106.4
### Version of Immich Mobile App
latest
### Platform with the issue
- [X] Server
- [ ] Web
- [ ] Mobile
### Your docker-compose.yml content
```YAML
#
# 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:
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
- ${EXTERNAL_PATH}:/usr/src/app/external
env_file:
- .env
ports:
- 2283:3001
depends_on:
- redis
- database
restart: always
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}
# 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
redis:
container_name: immich_redis
image: docker.io/redis:6.2-alpine@sha256:d6c2911ac51b289db208767581a5d154544f2b2fe4914ea5056443f62dc6e900
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:
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
healthcheck:
test: pg_isready --dbname='${DB_DATABASE_NAME}' || 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
volumes:
model-cache:
Your .env content
# 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
DB_PASSWORD=postgres
# The values below this line do not need to be changed###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich
EXTERNAL_PATH=/mnt/personal/Photos
Reproduction steps
1. Execute curl command above
2. check output
Relevant log output
No response
Additional information
No response
The text was updated successfully, but these errors were encountered:
"withArchived": true includes both archived and unarchived assets, which is expected behavior. Use "isArchived": true instead, to return only archived assets.
The bug
I'm calling the searchMetadata API as:
but getting 250 assets, which are not archived, while I've about ~2300 archived photos.
Your .env content
Reproduction steps
1. Execute curl command above 2. check output
Relevant log output
No response
Additional information
No response
The text was updated successfully, but these errors were encountered: