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https://github.com/immich-app/immich.git
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24 lines
982 B
Bash
Executable File
24 lines
982 B
Bash
Executable File
export MACHINE_LEARNING_CACHE_FOLDER=/tmp/model_cache
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export MACHINE_LEARNING_MIN_FACE_SCORE=0.034 # returns 1 face per request; setting this to 0 blows up the number of faces to the thousands
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export MACHINE_LEARNING_MIN_TAG_SCORE=0.0
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export PID_FILE=/tmp/locust_pid
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export LOG_FILE=/tmp/gunicorn.log
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export HEADLESS=false
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export HOST=127.0.0.1:3003
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export CONCURRENCY=4
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export NUM_ENDPOINTS=3
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export PYTHONPATH=app
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gunicorn app.main:app --worker-class uvicorn.workers.UvicornWorker \
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--bind $HOST --daemon --error-logfile $LOG_FILE --pid $PID_FILE
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while true ; do
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echo "Loading models..."
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sleep 5
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if cat $LOG_FILE | grep -q -E "startup complete"; then break; fi
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done
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# "users" are assigned only one task, so multiply concurrency by the number of tasks
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locust --host http://$HOST --web-host 127.0.0.1 \
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--run-time 120s --users $(($CONCURRENCY * $NUM_ENDPOINTS)) $(if $HEADLESS; then echo "--headless"; fi)
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if [[ -e $PID_FILE ]]; then kill $(cat $PID_FILE); fi |