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# .readthedocs.yml | ||
# Read the Docs configuration file | ||
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details | ||
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# Required | ||
version: 2 | ||
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# Build documentation in the docs/ directory with Sphinx | ||
sphinx: | ||
configuration: docs/conf.py | ||
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# Build documentation with MkDocs | ||
#mkdocs: | ||
# configuration: mkdocs.yml | ||
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# Optionally build your docs in additional formats such as PDF and ePub | ||
formats: all | ||
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# Optionally set the version of Python and requirements required to build your docs | ||
build: | ||
os: ubuntu-22.04 | ||
tools: | ||
python: "3.11" |
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Dockerfile | ||
.git | ||
.gitignore |
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#docker build . -t searchengine | ||
# docker build . -f deployment/docker/rockylinux/Dockerfile -t searchengine | ||
FROM rockylinux/rockylinux:9.0 | ||
USER root | ||
RUN dnf update -y | ||
RUN dnf groupinstall "Development Tools" -y | ||
RUN dnf install libpq-devel -y | ||
RUN dnf install python3-pip -y | ||
RUN dnf install -y python3-devel.x86_64 | ||
RUN dnf clean all && rm -rf /var/cache/yum | ||
RUN mkdir /searchengine | ||
ADD deployment/docker/rockylinux/start_gunicorn_serch_engine.sh /searchengine | ||
ADD deployment/docker/rockylinux/run_app.sh /searchengine | ||
ADD . /searchengine | ||
RUN cd /searchengine | ||
RUN mkdir /etc/searchengine | ||
RUN mkdir /etc/searchengine/chachedata | ||
RUN mkdir /etc/searchengine/logs | ||
WORKDIR /searchengine | ||
RUN pip3 install -r requirements.txt | ||
RUN pip3 install gunicorn | ||
EXPOSE 5577 | ||
ENTRYPOINT ["bash", "run_app.sh"] |
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#!/bin/bash | ||
echo "$@" | ||
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#test if the configuration file exists, if not it will copy it from the app configuration folder | ||
test -f /etc/searchengine/.app_config.yml || cp /searchengine/configurations/app_config.yml /etc/searchengine/.app_config.yml | ||
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#Check the script input | ||
if [[ $@ == run_app* ]] ; then | ||
url_perfix=${@/run_app/} | ||
echo using prefix: $url_perfix | ||
bash start_gunicorn_serch_engine.sh $url_perfix | ||
elif [ -z "$@" ] || [ "$@" = "run_app" ]; then | ||
echo "Starting the app" | ||
bash start_gunicorn_serch_engine.sh | ||
else | ||
echo "$@" | ||
python3 manage.py "$@" | ||
fi |
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deployment/docker/rockylinux/start_gunicorn_serch_engine.sh
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#!/bin/sh | ||
NAME="omero_search_engine" | ||
USER root | ||
APPPATH=/searchengine | ||
SOCKFILE=/etc/searchengine/sock3 #change this to project_dir/sock (new file will be created) | ||
echo "Starting $NAME as `whoami`" | ||
export PATH="$APPPATH:$PATH" | ||
echo "staring the app" | ||
# Create the run directory if it doesn't exist | ||
RUNDIR=$(dirname $SOCKFILE) | ||
echo "$RUNDIR" | ||
test -d $RUNDIR || mkdir -p $RUNDIR | ||
LOGS=/etc/searchengine/logs | ||
LOGSDIR=$(dirname $LOGS) | ||
test -d $LOGSDIR || mkdir -p $LOGSDIR | ||
user=$USER | ||
echo "Start Gunicorn ...." | ||
echo "$HOME" | ||
echo pwd | ||
cd $APPPATH | ||
if [ -z "$@" ]; then | ||
exec gunicorn "omero_search_engine:create_app('production')" -b 0.0.0.0:5577 --timeout 0 --name "$NAME" --bind=unix:$SOCKFILE --log-file=$LOGSDIR/logs/engine_gunilog.log --access-logfile=$LOGSDIR/logs/engine_access.log -error-logfile=$LOGSDIR/logs/engine_logs/engine_error.log --workers 4 | ||
else | ||
echo Run with SCRIPT_NAME=$@ | ||
SCRIPT_NAME=/"$@"/ exec gunicorn "omero_search_engine:create_app('production')" -b 0.0.0.0:5577 --timeout 0 --name "$NAME" --bind=unix:$SOCKFILE --log-file=$LOGSDIR/logs/engine_gunilog.log --access-logfile=$LOGSDIR/logs/engine_access.log -error-logfile=$LOGSDIR/logs/engine_logs/engine_error.log --workers 4 | ||
fi |
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Developer's documents | ||
===================== | ||
===================== | ||
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The developer should clone the code from the project repo using the following command:: | ||
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git clone https://github.com/ome/omero_search_engine.git | ||
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Then they need to create a Python virtual environment variable using either venv or conda and install the packages inside requirements.txt | ||
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The developer needs to set up the application configuration as it is explained in the System configuration part inside "docs\configuration\configuration_installation.rst" | ||
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After that, they should run the indexer to index Omero's data using the following command:: | ||
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python manage.py get_index_data_from_database | ||
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The developer can run the application using the following command:: | ||
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python manage.py runserver -p 5577 | ||
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Running the scripts inside the examples folder can be a good starting point. |
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#!/usr/bin/env python | ||
# -*- coding: utf-8 -*- | ||
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# Copyright (C) 2023 University of Dundee & Open Microscopy Environment. | ||
# All rights reserved. | ||
# | ||
# This program is free software: you can redistribute it and/or modify | ||
# it under the terms of the GNU Affero General Public License as | ||
# published by the Free Software Foundation, either version 3 of the | ||
# License, or (at your option) any later version. | ||
# | ||
# This program is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
# GNU Affero General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU Affero General Public License | ||
# along with this program. If not, see <http://www.gnu.org/licenses/>. | ||
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from utils import base_url | ||
import requests | ||
import json | ||
import logging | ||
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""" | ||
Return the available keys in a containers | ||
Also get the aviable values for a key """ | ||
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resource = "image" | ||
container_name = "idr0034" | ||
key = "cell line" | ||
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# the following url will return the existing key in this container | ||
keys_url = ( | ||
"{base_url}resources/image/container_keys/?container_name={container_name}".format( | ||
base_url=base_url, container_name=container_name | ||
) | ||
) | ||
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resp = requests.get(url=keys_url) | ||
keys_results = json.loads(resp.text) | ||
for result in keys_results: | ||
logging.info("%s: %s" % (result.get("type"), result.get("name"))) | ||
for bucket in result.get("results"): | ||
logging.info( | ||
"Key: %s, no of images: %s " % (bucket.get("key"), bucket.get("no_image")) | ||
) | ||
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""" It is possible to get all the available | ||
values for a key | ||
""" | ||
values_key_url = ( | ||
"{base_url}resources/image/" | ||
"container_keyvalues/?container_name={container_name}&key={key}".format( | ||
base_url=base_url, container_name=container_name, key=key | ||
) | ||
) | ||
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resp = requests.get(url=values_key_url) | ||
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key_values_results = json.loads(resp.text) | ||
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for result in key_values_results: | ||
logging.info("%s: %s" % (result.get("type"), result.get("name"))) | ||
for bucket in result.get("results"): | ||
logging.info( | ||
"Key: %s, value: %s, no of images: %s " | ||
% (bucket.get("key"), bucket.get("value"), bucket.get("no_image")) | ||
) |
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