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author | zsloan | 2022-03-22 19:02:15 +0000 |
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committer | zsloan | 2022-03-22 19:02:15 +0000 |
commit | a49da43ba00245cf23a2b72c314127986f567f28 (patch) | |
tree | ce64e83370c52add94927bc050febf5d242722db | |
parent | 68ac19153b128f60b660e11365e5fd4304c95300 (diff) | |
parent | 32cb57b82db328bc84753af9d25e9aaa1bd31152 (diff) | |
download | genenetwork2-a49da43ba00245cf23a2b72c314127986f567f28.tar.gz |
Merge remote-tracking branch 'origin/testing' into feature/add_rqtl_pairscan
68 files changed, 3262 insertions, 1315 deletions
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md deleted file mode 100644 index af60c290..00000000 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ /dev/null @@ -1,28 +0,0 @@ ---- -name: Bug report -about: Create a report to help us improve -title: '[Bug] Bug Title' -labels: '' -assignees: '' - ---- - -**Describe the bug** -<!-- A clear and concise description of what the bug is. --> - -**To Reproduce** -<!-- Steps to reproduce the behavior --> - -**Expected behavior** -<!-- A clear and concise description of what you expected to happen. --> - -**Screenshots** -<!-- If applicable, add screenshots to help explain your problem. --> - -**Environment setup (please complete the following information):** -<!-- - OS: [e.g. Linux] --> -<!-- - Guix Version (optional) --> -<!-- - [Anything else you think is relevant] --> - -**Additional context** -<!-- Add any other context about the problem here. --> diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md deleted file mode 100644 index 813974c1..00000000 --- a/.github/ISSUE_TEMPLATE/feature_request.md +++ /dev/null @@ -1,30 +0,0 @@ ---- -name: Feature request -about: Suggest a new feature for this project(Very Specific) -title: '[Feature] My-cool-feature' -labels: '' -assignees: '' - ---- - -## Is your feature request related to a problem? Please describe. -<!-- A clear and concise description of what the problem is. --> -<!-- Example: I'm always frustrated when [...] --> - -## Describe the solution you'd like -<!-- A clear and concise description of what you want to happen. --> - -## Describe alternatives you've considered -<!-- A clear and concise description of any alternative solutions or features you've considered. --> - -## User Stories (optional) -<!-- Example: --> -<!-- As a _[role or persona]_, I want _[goal/ need]_ so that _[why]_ --> -<!-- **Feature:** _[Brief description of feature]_ --> -<!-- _[Any additional descriptions on feature]_ --> -<!-- **Scenario:** -Please use _[Gherkin](https://cucumber.io/docs/gherkin/reference/)_ -here --> - -## Additional context -<!-- Add any other context or screenshots about the feature request here. --> diff --git a/.github/ISSUE_TEMPLATE/user_story.md b/.github/ISSUE_TEMPLATE/user_story.md deleted file mode 100644 index d46976ba..00000000 --- a/.github/ISSUE_TEMPLATE/user_story.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -name: User Story -about: Suggest an idea for this project -title: ['Feature] My-cool-new-feature' -labels: '' -assignees: '' - ---- -<!-- As a _[role or persona]_, I want _[goal/ need]_ so that _[why]_ --> -<!-- **Feature:** _[Brief description of feature]_ --> -<!-- _[Any additional descriptions on feature]_ --> -<!-- **Scenario:** Please use _[Gherkin](https://cucumber.io/docs/gherkin/reference/)_ here --> diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml deleted file mode 100644 index 0cf4557f..00000000 --- a/.github/workflows/main.yml +++ /dev/null @@ -1,69 +0,0 @@ -name: tests - -# Run actions when pushing to the testing branch or when you create a -# PR against it -on: - push: - branches: [ testing ] - pull_request: - branches: [ testing ] - -jobs: - unittest: - runs-on: ubuntu-latest - container: bonfacekilz/genenetwork2:latest - - steps: - # First start with mariadb set then checkout. The checkout gives - # the mysqld enough time to start - - name: Set up mariadb - run: | - mysql_install_db --user=mysql --datadir=/usr/local/mysql - # Wait for the mysqld_safe process to start - mysqld_safe --user=mysql --datadir=/usr/local/mysql & - - # Use v1 of checkout since v2 fails - - name: Checkout Project - uses: actions/checkout@v1 - - # Redis is required by some of the tests 6379 - - name: Start Redis - run: | - /gn2-profile/bin/screen -dmLS redisconn /gn2-profile/bin/redis-server - - # Initialise the tables - - name: Bootstrap tables - run: | - mysql -u root -e "SHOW DATABASES;" - mysql -u root -e "CREATE DATABASE db_webqtl_s;" - mysql -u root -e "CREATE USER 'gn2'@'localhost' IDENTIFIED BY 'mysql_password';" - mysql -u root -e "GRANT ALL PRIVILEGES ON *.* TO 'gn2'@'localhost';FLUSH PRIVILEGES;" - - - name: Start Genenetwork as a Background Task - run: | - /gn2-profile/bin/screen -dm bash -c "env GN2_PROFILE=/gn2-profile \ - TMPDIR=/tmp SERVER_PORT=5004 \ - WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG \ - GN_PROXY_URL='http://localhost:8080' \ - GN3_LOCAL_URL='http://localhost:8081' \ - GENENETWORK_FILES=/genotype_files/ bin/genenetwork2 \ - etc/default_settings.py" - - - name: Run the unit tests - run: | - env GN2_PROFILE=/gn2-profile \ - TMPDIR=/tmp SERVER_PORT=5004 \ - WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG \ - GN_PROXY_URL='http://localhost:8080' \ - GN3_LOCAL_URL='http://localhost:8081' \ - GENENETWORK_FILES=/genotype_files/ bin/genenetwork2 \ - etc/default_settings.py -c -m unittest discover -v - - # - name: Test for Broken Links - # run: | - # env GN2_PROFILE=/gn2-profile \ - # TMPDIR=/tmp\ - # WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG \ - # GENENETWORK_FILES=/genotype_files/ bin/genenetwork2 \ - # etc/default_settings.py -c \ - # $PWD/test/requests/links_scraper/genelinks.py @@ -1,5 +1,6 @@ [![DOI](https://zenodo.org/badge/5591/genenetwork/genenetwork2.svg)](https://zenodo.org/badge/latestdoi/5591/genenetwork/genenetwork2) [![JOSS](http://joss.theoj.org/papers/10.21105/joss.00025/status.svg)](http://joss.theoj.org/papers/10.21105/joss.00025) -[![Actions Status](https://github.com/genenetwork/genenetwork2/workflows/tests/badge.svg)](https://github.com/genenetwork/genenetwork2/actions) +[![GeneNetwork2 CI +badge](https://ci.genenetwork.org/badge/genenetwork2.svg)](https://ci.genenetwork.org/jobs/genenetwork2) # GeneNetwork @@ -11,29 +12,58 @@ many different populations and many types of molecular, cellular, and physiologi The system is used by scientists and clinicians in the field of precision health care and systems genetics. GN and its predecessors have been in operation since Jan 1994, making it one of the longest-lived web services in biomedical research (https://en.wikipedia.org/wiki/GeneNetwork, and see a partial list of publications using GN and its predecessor, WebQTL (https://genenetwork.org/references/). -## Run +## Install -We recommend you use GNU Guix. GNU Guix allows you to deploy -GeneNetwork2 and dependencies as a self contained unit on any machine. +The recommended installation is with GNU Guix which allows you to +deploy GN2 and dependencies as a self contained unit on any machine. The database can be run separately as well as the source tree (for -developers). +developers). See the [installation docs](doc/README.org). + +## Configuration + +GeneNetwork2 comes with a [default configuration file](./etc/default_settings.py) +which can be used as a starting point. + +The recommended way to deal with the configurations is to **copy** this default configuration file to a location outside of the repository, say, -Make sure you have the -[guix-bioinformatics](https://git.genenetwork.org/guix-bioinformatics/guix-bioinformatics) -channel set up. Then, to drop into a development environment with all -dependencies, run ```sh -guix shell -Df guix.scm +.../genenetwork2$ cp etc/default_settings.py "${HOME}/configurations/gn2.py" ``` -Or, to drop into a development environment in a container, run + +then change the appropriate values in the new file. You can then pass in the new +file as the configuration file when launching the application, + +```sh +.../genenetwork2$ bin/genenetwork "${HOME}/configurations/gn2.py" <command-to-run> ``` -guix shell -C --network -Df guix.scm + +The other option is to override the configurations in `etc/default_settings.py` +by setting the configuration you want to override as an environment variable e.g. +to override the `SQL_URI` value, you could do something like: + +```sh +.../genenetwork2$ env SQL_URI="mysql://<user>:<passwd>@<host>:<port>/<db_name>" \ + bin/genenetwork "${HOME}/configurations/gn2.py" <command-to-run> ``` -In the development environment, start GeneNetwork2 by running, for -example, +replacing the placeholders in the angle brackets with appropriate values. + +For a detailed breakdown of the configuration variables and their use, see the +[configuration documentation](doc/configurations.org) + +## Run + +Once having installed GN2 it can be run through a browser +interface + ```sh -env SERVER_PORT=5300 \ +genenetwork2 +``` + +A quick example is + +```sh +env GN2_PROFILE=~/opt/gn-latest SERVER_PORT=5300 \ GENENETWORK_FILES=~/data/gn2_data/ \ GN_PROXY_URL="http://localhost:8080"\ GN3_LOCAL_URL="http://localhost:8081"\ @@ -42,12 +72,17 @@ env SERVER_PORT=5300 \ For full examples (you may need to set a number of environment variables), including running scripts and a Python REPL, also see the -startup script -[./bin/genenetwork2](https://github.com/genenetwork/genenetwork2/blob/testing/bin/genenetwork2). +startup script [./bin/genenetwork2](https://github.com/genenetwork/genenetwork2/blob/testing/bin/genenetwork2). Also mariadb and redis need to be running, see [INSTALL](./doc/README.org). +## Development + +It may be useful to pull in the GN3 python modules locally. For this +use `GN3_PYTHONPATH` environment that gets injected in +the ./bin/genenetwork2 startup. + ## Testing To have tests pass, the redis and mariadb instance should be running, because of @@ -56,6 +91,20 @@ asserts sprinkled in the code base. Right now, the only tests running in CI are unittests. Please make sure the existing unittests are green when submitting a PR. +From the root directory of the repository, you can run the tests with something +like: + +```sh +env GN_PROFILE=~/opt/gn-latest SERVER_PORT=5300 \ + SQL_URI=<uri-to-override-the-default> \ + ./bin/genenetwork2 ./etc/default_settings.py \ + -c -m unittest -v +``` + +In the case where you use the default `etc/default_settings.py` configuration file, you can override any setting as demonstrated with the `SQL_URI` setting in the command above. + +In order to avoid having to set up a whole host of settings every time with the `env` command, you could copy the `etc/default_settings.py` file to a new location (outside the repository is best), and pass that to `bin/genenetwork2` instead. + See [./bin/genenetwork2](https://github.com/genenetwork/genenetwork2/blob/testing/doc/docker-container.org) for more details. @@ -67,16 +116,19 @@ We are building 'Mechanical Rob' automated testing using Python which can be run with: ```sh -env ./bin/genenetwork2 \ +env GN2_PROFILE=~/opt/gn-latest \ + ./bin/genenetwork2 \ GN_PROXY_URL="http://localhost:8080" \ GN3_LOCAL_URL="http://localhost:8081 "\ ./etc/default_settings.py -c \ ../test/requests/test-website.py -a http://localhost:5003 ``` -The ./bin/genenetwork2 script sets up the environment and executes -test-website.py in a Python interpreter. The -a switch says to run all -tests and the URL points to the running GN2 http server. +The GN2_PROFILE is the Guix profile that contains all +dependencies. The ./bin/genenetwork2 script sets up the environment +and executes test-website.py in a Python interpreter. The -a switch +says to run all tests and the URL points to the running GN2 http +server. #### Unit tests @@ -97,9 +149,9 @@ runcmd coverage html The `runcmd` and `runpython` are shell aliases defined in the following way: ```sh -alias runpython="env TMPDIR=/tmp SERVER_PORT=5004 GENENETWORK_FILES=/gnu/data/gn2_data/ GN_PROXY_URL="http://localhost:8080" GN3_LOCAL_URL="http://localhost:8081" ./bin/genenetwork2 +alias runpython="env GN2_PROFILE=~/opt/gn-latest TMPDIR=/tmp SERVER_PORT=5004 GENENETWORK_FILES=/gnu/data/gn2_data/ GN_PROXY_URL="http://localhost:8080" GN3_LOCAL_URL="http://localhost:8081" ./bin/genenetwork2 -alias runcmd="time env TMPDIR=//tmp SERVER_PORT=5004 GENENETWORK_FILES=/gnu/data/gn2_data/ GN_PROXY_URL="http://localhost:8080" GN3_LOCAL_URL="http://localhost:8081" ./bin/genenetwork2 ./etc/default_settings.py -cli" +alias runcmd="time env GN2_PROFILE=~/opt/gn-latest TMPDIR=//tmp SERVER_PORT=5004 GENENETWORK_FILES=/gnu/data/gn2_data/ GN_PROXY_URL="http://localhost:8080" GN3_LOCAL_URL="http://localhost:8081" ./bin/genenetwork2 ./etc/default_settings.py -cli" ``` Replace some of the env variables as per your use case. diff --git a/bin/genenetwork2 b/bin/genenetwork2 index ce3678e4..36bf11a6 100755 --- a/bin/genenetwork2 +++ b/bin/genenetwork2 @@ -1,67 +1,79 @@ -#! /bin/sh -e +#! /bin/bash # # This is the startup script for GN2. It sets the environment variables to pick # up a Guix profile and allows for overriding parameters. # # Typical usage # -# ./bin/genenetwork2 ~/my_settings.py +# env GN2_PROFILE=~/opt/genenetwork2-phewas ./bin/genenetwork2 ~/my_settings.py +# +# Where GN2_PROFILE points to the GNU Guix profile used for deployment. # # This will run the GN2 server (with default settings if none -# supplied). +# supplied). Typically you need a GNU Guix profile which is set with +# an environment variable (this profile is dictated by the +# installation path of genenetwork). Say your profile is in +# ~/opt/gn-latest-guix +# +# env GN2_PROFILE=~/opt/gn-latest ./bin/genenetwork2 +# +# You can pass in your own settings file, e.g. +# +# env GN2_PROFILE=~/opt/gn-latest ./bin/genenetwork2 ~/my_settings.py # # To run a maintenance python script with settings (instead of the # webserver) run from the base-dir with settings file and add that # script with a -c switch, e.g. # -# env TMPDIR=/export/local/home/zas1024/gn2-zach/tmp WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG SERVER_PORT=5002 GENENETWORK_FILES=/export/local/home/zas1024/gn2-zach/genotype_files SQL_URI=mysql://webqtlout:webqtlout@lily.uthsc.edu/db_webqtl ./bin/genenetwork2 ./etc/default_settings.py -c ./maintenance/gen_select_dataset.py +# env GN2_PROFILE=/usr/local/guix-profiles/gn-latest-20190905 TMPDIR=/export/local/home/zas1024/gn2-zach/tmp WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG SERVER_PORT=5002 GENENETWORK_FILES=/export/local/home/zas1024/gn2-zach/genotype_files SQL_URI=mysql://webqtlout:webqtlout@lily.uthsc.edu/db_webqtl ./bin/genenetwork2 ./etc/default_settings.py -c ./maintenance/gen_select_dataset.py # # To run any script in the environment # -# ./bin/genenetwork2 ./etc/default_settings.py -cli echo "HELLO WORLD" +# env GN2_PROFILE=~/opt/gn-latest ./bin/genenetwork2 ./etc/default_settings.py -cli echo "HELLO WORLD" # # To get a python REPL(!) # -# ./bin/genenetwork2 ./etc/default_settings.py -cli python +# env GN2_PROFILE=~/opt/gn-latest ./bin/genenetwork2 ./etc/default_settings.py -cli python # # For development you may want to run # -# env WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG ./bin/genenetwork2 +# env GN2_PROFILE=~/opt/gn-latest WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG ./bin/genenetwork2 # # For staging and production we use gunicorn. Run with something like # (note you have to provide the server port). Provide a settings file! # -# env SERVER_PORT=5003 ./bin/genenetwork2 ./etc/default_settings.py -gunicorn-prod +# env GN2_PROFILE=~/opt/gn-latest-guix SERVER_PORT=5003 ./bin/genenetwork2 ./etc/default_settings.py -gunicorn-prod # # For development use # -# env SERVER_PORT=5003 ./bin/genenetwork2 ./etc/default_settings.py -gunicorn-dev +# env GN2_PROFILE=~/opt/gn-latest-guix SERVER_PORT=5003 ./bin/genenetwork2 ./etc/default_settings.py -gunicorn-dev # # For extra flexibility you can also provide gunicorn parameters yourself with something like # -# ./bin/genenetwork2 ./etc/default_settings.py -gunicorn "--bind 0.0.0.0:5003 --workers=1 wsgi" +# env GN2_PROFILE=~/opt/gn-latest-guix ./bin/genenetwork2 ./etc/default_settings.py -gunicorn "--bind 0.0.0.0:5003 --workers=1 wsgi" SCRIPT=$(realpath "$0") -echo SCRIPT=$SCRIPT -export GN2_PROFILE=$GUIX_ENVIRONMENT -echo GN2_PROFILE=$GN2_PROFILE -GN2_BASE_DIR=$(dirname $(dirname "$SCRIPT")) -GN2_ID=$(cat /etc/hostname):$(basename $GN2_BASE_DIR) +echo SCRIPT="${SCRIPT}" +echo GN2_PROFILE="${GN2_PROFILE}" +GN2_BASE_DIR=$(dirname "$(dirname "${SCRIPT}")") +GN2_ID=$(cat /etc/hostname):$(basename "${GN2_BASE_DIR}") -echo GN2_BASE_DIR=$GN2_BASE_DIR +echo GN2_BASE_DIR="${GN2_BASE_DIR}" GUIX_SITE=$GN2_BASE_DIR/lib/python3.8/site-packages -if [ -d $GUIX_SITE ]; then +if [ -d "${GUIX_SITE}" ]; then echo INFO: GN2 is running from GNU Guix GN2_BASE_DIR=$GUIX_SITE - export GN_VERSION=$GN2_ID:$(cat $GN2_BASE_DIR/etc/VERSION) + GN_VERSION="${GN2_ID}:$(cat "${GN2_BASE_DIR}"/etc/VERSION)" + export GN_VERSION else echo INFO: GN2 is running from a source tree GIT_HASH=$(git rev-parse HEAD) GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) - export GN_VERSION=$GN2_ID:$(cat $GN2_BASE_DIR/etc/VERSION)-$GIT_BRANCH-${GIT_HASH:0:9} + GN_VERSION="${GN2_ID}:$(cat "${GN2_BASE_DIR}"/etc/VERSION)-${GIT_BRANCH}-$(echo "${GIT_HASH}" | cut -c1-9)" + export GN_VERSION fi -echo GN_VERSION=$GN_VERSION +echo GN_VERSION="${GN_VERSION}" if [ "$1" = "-c" -o "$1" = "-gunicorn" ]; then echo "Can not use $1 switch without default settings file" @@ -69,12 +81,12 @@ if [ "$1" = "-c" -o "$1" = "-gunicorn" ]; then fi settings=$1 -if [ -z $settings ]; then +if [ -z "${settings}" ]; then settings=$GN2_BASE_DIR/etc/default_settings.py else shift fi -settings=$(realpath $settings) +settings=$(realpath "${settings}") # ext="${settings##*.}" # if [ "$ext" = "json" -o "$ext" = "JSON" ]; then @@ -83,83 +95,135 @@ settings=$(realpath $settings) # echo $settings # fi -if [ ! -e $settings ]; then +if [ ! -e "${settings}" ]; then echo "ERROR: can not locate settings file - pass it in the command line" exit 1 fi export GN2_SETTINGS=$settings # Python -echo GN2_SETTINGS=$settings - -export JS_GUIX_PATH=$GN2_PROFILE/share/genenetwork2/javascript -export LC_ALL=C # FIXME -export GUIX_GENENETWORK_FILES="$GN2_PROFILE/share/genenetwork2" -export PLINK_COMMAND="$GN2_PROFILE/bin/plink2" -export GEMMA_COMMAND="$GN2_PROFILE/bin/gemma" -if [ -z $GEMMA_WRAPPER_COMMAND ]; then - export GEMMA_WRAPPER_COMMAND="$GN2_PROFILE/bin/gemma-wrapper" +echo GN2_SETTINGS="${settings}" + +if [ -z "${GN2_PROFILE}" ] ; then + echo "WARNING: GN2_PROFILE has not been set - you need the environment, so I hope you know what you are doing!" + GN2_PROFILE=$(dirname $(dirname $(which genenetwork2))) + export GN2_PROFILE + if [ -d "${GN2_PROFILE}" ]; then + echo "Best guess is $GN2_PROFILE" + fi + echo "ERROR: always set GN2_PROFILE" + exit 1 +fi +if [ -z "${GN2_PROFILE}" ]; then + read -p "PRESS [ENTER] TO CONTINUE..." +else + export PATH=$GN2_PROFILE/bin:$PATH + export PYTHONPATH="$GN2_PROFILE/lib/python3.9/site-packages" # never inject another PYTHONPATH!! + export R_LIBS_SITE=$GN2_PROFILE/site-library + export JS_GUIX_PATH=$GN2_PROFILE/share/genenetwork2/javascript + export GUIX_GTK3_PATH="$GN2_PROFILE/lib/gtk-3.0" + export GI_TYPELIB_PATH="$GN2_PROFILE/lib/girepository-1.0" + export XDG_DATA_DIRS="$GN2_PROFILE/share" + export GIO_EXTRA_MODULES="$GN2_PROFILE/lib/gio/modules" + export LC_ALL=C # FIXME + export GUIX_GENENETWORK_FILES="$GN2_PROFILE/share/genenetwork2" + export PLINK_COMMAND="$GN2_PROFILE/bin/plink2" + export GEMMA_COMMAND="$GN2_PROFILE/bin/gemma" + if [ -z "${GEMMA_WRAPPER_COMMAND}" ]; then + export GEMMA_WRAPPER_COMMAND="$GN2_PROFILE/bin/gemma-wrapper" + fi + while IFS=":" read -ra PPATH; do + for PPART in "${PPATH[@]}"; do + if [ ! -d "${PPART}" ] ; then echo "$PPART in PYTHONPATH not valid $PYTHONPATH" ; exit 1 ; fi + done + done <<< "$PYTHONPATH" + if [ ! -d "${R_LIBS_SITE}" ] ; then echo "R_LIBS_SITE not valid ${R_LIBS_SITE}" ; exit 1 ; fi +fi +if [ -z "${PYTHONPATH}" ] ; then + echo "ERROR PYTHONPATH has not been set - use GN2_PROFILE!" + exit 1 +fi +if [ ! -d "${R_LIBS_SITE}" ] ; then + echo "ERROR R_LIBS_SITE has not been set correctly (we only allow one path) - use GN2_PROFILE!" + echo "Paste into your shell the output of (for example)" + echo "guix package -p \$GN2_PROFILE --search-paths" + exit 1 fi +# We may change this one: +export PYTHONPATH=$PYTHON_GN_PATH:$GN2_BASE_DIR/wqflask:$GN3_PYTHONPATH:$PYTHONPATH + +export PYTHONPATH="${GN3_DEV_REPO_PATH:+$GN3_DEV_REPO_PATH:}:${PYTHONPATH}" + # Our UNIX TMPDIR defaults to /tmp - change this on a shared server -if [ -z $TMPDIR ]; then +if [ -z "${TMPDIR}" ]; then TMPDIR="/tmp" fi # Show environment settings set|grep guix -set|grep $GN2_PROFILE +set|grep GN2_PROFILE set|grep TMPDIR # Now handle command parameter -c which runs python if [ "$1" = '-c' ] ; then - cd $GN2_BASE_DIR/wqflask + cd "${GN2_BASE_DIR}/wqflask" cmd=${2#wqflask/} + echo PYTHONPATH="${PYTHONPATH}" shift ; shift - echo RUNNING COMMAND $cmd $* + echo "RUNNING COMMAND ${cmd} ${*}" python $cmd $* exit $? fi # Now handle command parameter -cli which runs in bash if [ "$1" = "-cli" ] ; then - cd $GN2_BASE_DIR/wqflask + cd "${GN2_BASE_DIR}/wqflask" cmd=$2 + echo PYTHONPATH="${PYTHONPATH}" shift ; shift - echo RUNNING COMMAND $cmd $* + echo "RUNNING COMMAND ${cmd} ${*}" $cmd $* exit $? fi if [ "$1" = '-gunicorn' ] ; then - cd $GN2_BASE_DIR/wqflask + cd "${GN2_BASE_DIR}/wqflask" cmd=$2 - echo RUNNING gunicorn $cmd + echo PYTHONPATH="${PYTHONPATH}" + echo "RUNNING gunicorn ${cmd}" gunicorn $cmd exit $? fi if [ "$1" = '-gunicorn-dev' ] ; then - cd $GN2_BASE_DIR/wqflask - if [ -z $SERVER_PORT ]; then echo "ERROR: Provide a SERVER_PORT" ; exit 1 ; fi - cmd="--bind 0.0.0.0:$SERVER_PORT --workers=1 --timeout 180 --reload wsgi" - echo RUNNING gunicorn $cmd + cd "${GN2_BASE_DIR}/wqflask" + echo PYTHONPATH="${PYTHONPATH}" + if [ -z "${SERVER_PORT}" ]; then echo "ERROR: Provide a SERVER_PORT" ; exit 1 ; fi + cmd="--bind 0.0.0.0:$SERVER_PORT --workers=1 --timeout 180 --reload run_gunicorn:app" + echo "RUNNING gunicorn ${cmd}" gunicorn $cmd exit $? fi if [ "$1" = '-gunicorn-prod' ] ; then - cd $GN2_BASE_DIR/wqflask - if [ -z $SERVER_PORT ]; then echo "ERROR: Provide a SERVER_PORT" ; exit 1 ; fi + cd "${GN2_BASE_DIR}/wqflask" + echo PYTHONPATH="${PYTHONPATH}" + if [ -z "${SERVER_PORT}" ]; then echo "ERROR: Provide a SERVER_PORT" ; exit 1 ; fi PID=$TMPDIR/gunicorn.$USER.pid cmd="--bind 0.0.0.0:$SERVER_PORT --pid $PID --workers 20 --keep-alive 6000 --max-requests 100 --max-requests-jitter 30 --timeout 1200 wsgi" - echo RUNNING gunicorn $cmd + echo "RUNNING gunicorn ${cmd}" gunicorn $cmd exit $? fi -echo "Starting the redis server:" -echo -n "dir $TMPDIR +if [ -z "$NO_REDIS" ] ; then + echo "Starting the redis server:" + echo -n "dir $TMPDIR dbfilename gn2.rdb " | redis-server - & +fi + +# Overrides for packages that are not yet public (currently r-auwerx) +# export R_LIBS_SITE=$R_LIBS_SITE:$HOME/.Rlibs/das1i1pm54dj6lbdcsw5w0sdwhccyj1a-r-3.3.2/lib/R/lib # Start the flask server running GN2 -cd $GN2_BASE_DIR/wqflask +cd "${GN2_BASE_DIR}/wqflask" echo "Starting with $settings" python runserver.py diff --git a/doc/configurations.org b/doc/configurations.org new file mode 100644 index 00000000..54c97d52 --- /dev/null +++ b/doc/configurations.org @@ -0,0 +1,92 @@ +#+TITLE: Configurations for GeneNetwork2 Service +#+OPTIONS: toc:3 + +* Configuration Variables + +** Basic Configurations + +- *GN_VERSION*: The current version of GN2 +- *GN2_PROXY*: URL to the GN2 proxy service +- *GN_SERVER_URL*: URL to the GN3 REST API server +- *GN2_BASE_URL*: ?? +- *GN2_BRANCH_URL*: +- *SERVER_PORT*: The port on which to run GN2. This is passed on to Flask. +- *SECRET_HMAC_CODE*: +- *GENENETWORK_FILES*: Base directory for all static data files +- *HOME*: The home directory of the user that GN2 runs as + +** Redis Configurations + +- *REDIS_URL*: The url to use to connect to the running redis instance +- *USE_REDIS*: Redis caching + + +** Database (MySQL) Configurations + +- *SQL_URI*: The URI to the database server in the form + ~mysql://<username>:<password>@<host>:<port>/<dbname>~. Replace the items in + the angle brackets with the appropriate values for each item. +- *SQL_ALCHEMY_POOL_RECYCLE*: Probably obsoleted - the use of ORMs (ha/i)s + be(en/ing) phased off + +# ---- Flask configuration (see website) +** Flask-Specific Configurations +- *TRAP_BAD_REQUEST_ERRORS*: +- *SECURITY_CONFIRMABLE*: +- *SECURITY_TRACKABLE*: +- *SECURITY_REGISTERABLE*: +- *SECURITY_RECOVERABLE*: +- *SECURITY_EMAIL_SENDER*: +- *SECURITY_POST_LOGIN_VIEW*: + +** External Services + +*** GitHub Configurations + +- *GITHUB_CLIENT_ID*: Client identifier key for GitHub OAuth authentication +- *GITHUB_CLIENT_SECRET*: Client authentication token for github +- *GITHUB_AUTH_URL*: The url to use for authenticating the client (GN2) with + GitHub. Default: https://github.com/login/oauth/authorize +- *GITHUB_API_URL*: Once the client (GN2) is authenticated with GitHub, this URI + is the used to authenticate users using GitHub. The default value is + https://api.github.com/user + +*** ORCID Configurations + +- *ORCID_CLIENT_ID*: Client identifier key for ORCID OAuth authentication +- *ORCID_CLIENT_SECRET*: Client authentication token for ORCID +- *ORCID_AUTH_URL*: The url to use for authenticating the client (GN2) with + ORCID. Default: https://orcid.org/oauth/authorize +- *ORCID_TOKEN_URL*: The URI to acquire a token once GN2 has been authenticated + with ORCID. This token is used to authenticate users with the ORCID service. + The default value is https://orcid.org/oauth/token + +** Mail Configurations +- *SMTP_CONNECT*: +- *SMTP_USERNAME*: +- *SMTP_PASSWORD*: + +** Javascript Configurations +- *JS_GN_PATH*: Path to local javascript libraries for development purposes only. + See [[./development.org]] for more details + +** External Commands Configurations +- *REAPER_COMMAND*: The path to the reaper command/executable + +** Behavioral Settings +# ---- Behavioural settings (defaults) note that logger and log levels can +# be overridden at the module level and with enviroment settings +- *WEBSERVER_MODE*: Determines how the service is run. + If the value is ~DEBUG~, the service is run in debug mode - debug tools are + activated for the application. + If the value is ~DEV~, the service is run in development mode; logging is + activated. +- *WEBSERVER_BRANDING*: Probably unused - verify and remove. +- *WEBSERVER_DEPLOY*: Probably unused - verify and remove. +- *WEBSERVER_URL*: Probably unused - verify and remove. +- *LOG_LEVEL*: +- *LOG_LEVEL_DEBUG*: +- *LOG_SQL*: +- *LOG_SQL_ALCHEMY*: +- *LOG_BENCH*: +- *USE_GN_SERVER*: ?? diff --git a/doc/database.org b/doc/database.org index d5462d4e..32f1f8e0 100644 --- a/doc/database.org +++ b/doc/database.org @@ -1370,6 +1370,28 @@ Empty set (0.00 sec) Hmmm. This is the test database. Then there are the plink files and VCF files. +** How to fetch case attribute data + +To fetch case attribute data, you need the PublixshXRef Id and it's +PhenotypeId. Run the following query (as an example): + +#+begin_src sql +SELECT concat(st.Name, ',', ifnull(pd.value, 'x'), ',', + ifnull(ps.error, 'x'), ',', ifnull(ns.count, 'x')) as 'Data', + ifnull(ca.Name, 'x') as 'CaseAttr', ifnull(cxref.value, 'x') as 'Value' +FROM PublishFreeze pf +JOIN PublishXRef px ON px.InbredSetId = pf.InbredSetId +JOIN PublishData pd ON pd.Id = px.DataId +JOIN Strain st ON pd.StrainId = st.Id +LEFT JOIN PublishSE ps ON ps.DataId = pd.Id AND ps.StrainId = pd.StrainId +LEFT JOIN NStrain ns ON ns.DataId = pd.Id AND ns.StrainId = pd.StrainId +LEFT JOIN CaseAttributeXRefNew cxref ON + (cxref.InbredSetId = px.InbredSetId AND + cxref.StrainId = st.Id) +LEFT JOIN CaseAttribute ca ON ca.Id = cxref.CaseAttributeId +WHERE px.Id = 10006 AND px.PhenotypeId = 28409 LIMIT 10; +#+end_src + * Optimize SQL? We were facing some issues with slow queries. A query diff --git a/etc/default_settings.py b/etc/default_settings.py index 8636f4db..a0d01de0 100644 --- a/etc/default_settings.py +++ b/etc/default_settings.py @@ -24,7 +24,8 @@ import os import sys -GN_VERSION = open("../etc/VERSION", "r").read() +with open("../etc/VERSION", "r") as version_file: + GN_VERSION = version_file.read() # Redis REDIS_URL = "redis://:@localhost:6379/0" @@ -18,7 +18,7 @@ (define %source-dir (dirname (current-filename))) (package - (inherit genenetwork3) - (source (local-file %source-dir "genenetwork3-checkout" + (inherit genenetwork2) + (source (local-file %source-dir "genenetwork2-checkout" #:recursive? #t #:select? (git-predicate %source-dir)))) diff --git a/scripts/insert_expression_data.py b/scripts/insert_expression_data.py new file mode 100644 index 00000000..3d93c9f4 --- /dev/null +++ b/scripts/insert_expression_data.py @@ -0,0 +1,203 @@ +# !/usr/bin/python3 +"""This script use the nearest marker to the transcript as control, increasing permutation rounds according to the p-value""" + +######################################################################## +# Last Updated 3/11/2022 by Zach +######################################################################## +import csv +import string +import sys +import MySQLdb +import getpass +import time + +######################################################################## + +def translate_alias(str): + if str == "B6": + return "C57BL/6J" + elif str == "D2": + return "DBA/2J" + else: + return str + + +######################################################################## +# +# Indicate Data Start Position, ProbeFreezeId, gene_chip_id, DataFile +# +######################################################################## + +data_start = 1 + +gene_chip_id = int(input("Enter GeneChipId:")) +probeset_freeze_id = int(input("Enter ProbeSetFreezeId:")) +input_file_name = input("Enter file name with suffix:") + +try: + passwd = getpass.getpass('Please enter mysql password here : ') + conn = MySQLdb.Connect(db='db_webqtl', host='localhost', user='webqtlout', passwd=passwd) + + db = conn.cursor() + + print + "You have successfully connected to mysql.\n" +except: + print + "You entered incorrect password.\n" + sys.exit(0) + +time0 = time.time() + +######################################################################### +# +# Check if each line have same number of members +# generate the gene list of expression data here +# +######################################################################### +print +'Checking if each line have same number of members' + +gene_list = [] +strain_list = [] +trait_data = [] + +with open(input_file_name, "r") as csvfile: + reader = csv.DictReader(csvfile, delimiter="\t") + + kj = 0 + for line in reader: + trait_data.append(line) + + # Get the strain list; only need to get it once + if kj == 0: + strain_list = [item for item in line.keys() if item != "ProbeSetID"] + print("STRAIN LIST:", strain_list) + + gene_list.append(line['ProbeSetID']) + + if kj % 100000 == 0: + print(f"checked {kj} lines") + kj += 1 + +gene_list.sort() + +print(f"used {time.time() - time0} seconds") +######################################################################### +# +# Check if each strain exist in database +# generate the string id list of expression data here +# +######################################################################### +print('Checking if each strain exists in database') + +strain_list = map(translate_alias, strain_list) + +strain_ids = {} +for item in strain_list: + try: + db.execute(f'select Id from Strain where Name = "{item}" AND SpeciesId=1') + strain_ids[item] = db.fetchone()[0] + except: + print(f"{item} does not exist, check the if the strain name is correct") + sys.exit(0) + +print(f"Used {time.time() - time0} seconds") + +######################################################################## +# +# Check if each ProbeSet exist in database +# +######################################################################## +print("Check if each ProbeSet exists in database") + + +# Check whether ProbeSetIDs are Name or TargetId (if not Name, assume to be TargetId) +id_type = "TargetId" +db.execute(f"select Id from ProbeSet where Name='{gene_list[0]}' and ChipId={gene_chip_id}") +if len(db.fetchall()): + id_type = "Name" + +## Get Name/TargetId + ID list from database +db.execute(f"select {id_type}, Id from ProbeSet where ChipId={gene_chip_id} order by {id_type}") +records_from_db = db.fetchall() + +record_names = [item[0] for item in records_from_db] +record_names.sort() + +# Compare gene_list with gene_names +invalid_records = [] +lowercase_records = [name2.lower() for name2 in record_names] +for name in gene_list: + if name.lower() not in lowercase_records: + invalid_records.append(name) + +if len(invalid_records): + with open("ProbeSetError.txt", "wb") as error_fh: + for item in invalid_records: + error_fh.write(f"{item} doesn't exist, cheeck if the ProbeSet name is correct \n") + sys.exit(0) + +print(f"used {time.time() - time0} seconds") +######################################################################### +# +# Insert data into database +# +######################################################################### +print("getting ProbeSet Name + Id") +record_ids = {} +for record in records_from_db: + record_ids[record[0]] = record[1] + +print(f"used {time.time() - time0} seconds") + +print("inserting data") + +# Get old max dataId +db.execute('select max(Id) from ProbeSetData') +latest_data_id = int(db.fetchone()[0]) +print(f"Latest DataId = {latest_data_id}") + +# Insert data +probeset_data_values = [] +probeset_xref_values = [] +for i, item in enumerate(trait_data): + latest_data_id += 1 + + + probeset_id = item['ProbeSetID'] + item.pop('ProbeSetID') + sample_data = item + for strain in sample_data: + probeset_data_values.append(f"({latest_data_id},{strain_ids[strain]},{float(sample_data[strain])})") + + probeset_xref_values.append(f"({probeset_freeze_id},{record_ids[probeset_id]},{latest_data_id})") + + # Insert into tables for every 100 traits + if i % 100 == 0: + data_query = f"INSERT INTO ProbeSetData VALUES {','.join(probeset_data_values)}" + db.execute(data_query) + + xref_query = ( + "INSERT INTO ProbeSetXRef(ProbeSetFreezeId, ProbeSetId, DataId) " + f"VALUES {','.join(probeset_xref_values)}") + db.execute(xref_query) + + probeset_data_values = [] + probeset_xref_values = [] + + print(f"Inserted {i} lines") + print(f"Used {time.time() - time0} seconds") + +# Insert the remainder (since the loop above only inserts every 100 traits) +if len(probeset_data_values): + data_query = f"INSERT INTO ProbeSetData VALUES {','.join(probeset_data_values)}" + db.execute(data_query) + + xref_query = ( + "INSERT INTO ProbeSetXRef(ProbeSetFreezeId, ProbeSetId, DataId) " + f"VALUES {','.join(probeset_xref_values)}") + db.execute(xref_query) + +conn.commit() +conn.close() diff --git a/scripts/maintenance/QTL_Reaper_v6.py b/scripts/maintenance/QTL_Reaper_v6.py index 35f2d1a1..20fd8e3b 100755 --- a/scripts/maintenance/QTL_Reaper_v6.py +++ b/scripts/maintenance/QTL_Reaper_v6.py @@ -106,3 +106,6 @@ for ProbeSetFreezeId in ProbeSetFreezeIds: print(ProbeSetFreezeIds) + +cursor.close() +con.close() diff --git a/scripts/maintenance/Update_Case_Attributes_MySQL_tab.py b/scripts/maintenance/Update_Case_Attributes_MySQL_tab.py index bf796df4..a3cd1c35 100644 --- a/scripts/maintenance/Update_Case_Attributes_MySQL_tab.py +++ b/scripts/maintenance/Update_Case_Attributes_MySQL_tab.py @@ -10,18 +10,13 @@ import time import csv ######################################################################## -mydb = MySQLdb.connect(host='localhost', - user='username', - passwd='', - db='db_webqtl') -cursor = mydb.cursor() +with MySQLdb.connect( + host='localhost', user='username', passwd='', db='db_webqtl') as mydb: + with mydb.cursor() as cursor: -csv_data = csv.reader(file('GN711_pvalues.txt'), delimiter ="\t") -for row in csv_data: - - cursor.execute("""UPDATE ProbeSetXRef SET pValue = %s WHERE ProbeSetFreezeId = %s AND ProbeSetId = %s """, - (row)) -#close the connection to the database. -mydb.commit() -cursor.close() -print("Done")
\ No newline at end of file + csv_data = csv.reader(file('GN711_pvalues.txt'), delimiter ="\t") + for row in csv_data: + cursor.execute( + """UPDATE ProbeSetXRef SET pValue = %s WHERE ProbeSetFreezeId = %s AND ProbeSetId = %s """, + (row)) +print("Done") diff --git a/scripts/maintenance/readProbeSetMean_v7.py b/scripts/maintenance/readProbeSetMean_v7.py index 43f084f4..56adcdfd 100755 --- a/scripts/maintenance/readProbeSetMean_v7.py +++ b/scripts/maintenance/readProbeSetMean_v7.py @@ -269,4 +269,5 @@ if len(values1) > 0: cmd = 'insert into ProbeSetXRef(ProbeSetFreezeId, ProbeSetId, DataId) values %s' % cmd db.execute(cmd) +db.close() con.close() diff --git a/scripts/maintenance/readProbeSetSE_v7.py b/scripts/maintenance/readProbeSetSE_v7.py index 2cfe2e07..88a347bf 100755 --- a/scripts/maintenance/readProbeSetSE_v7.py +++ b/scripts/maintenance/readProbeSetSE_v7.py @@ -251,4 +251,5 @@ if len(DataValues) > 0: cmd = 'insert ProbeSetSE values %s' % DataValues db.execute(cmd) +db.close() con.close() diff --git a/scripts/maintenance/utilities.py b/scripts/maintenance/utilities.py index 886410c2..1fe14809 100644 --- a/scripts/maintenance/utilities.py +++ b/scripts/maintenance/utilities.py @@ -1,16 +1,6 @@ -import MySQLdb import re import configparser -def get_cursor(): - host = 'tux.uthsc.edu' - user = 'webqtlout' - passwd = 'webqtlout' - db = 'db_webqtl' - con = MySQLdb.Connect(db=db, host=host, user=user, passwd=passwd) - cursor = con.cursor() - return cursor, con - def clearspaces(s, default=None): if s: s = re.sub('\s+', ' ', s) diff --git a/test/requests/test-website.py b/test/requests/test-website.py index d619a7d5..71055fca 100755 --- a/test/requests/test-website.py +++ b/test/requests/test-website.py @@ -14,16 +14,11 @@ import link_checker import sys # Imports for integration tests -from wqflask import app -from test_login_local import TestLoginLocal -from test_login_orcid import TestLoginOrcid -from test_login_github import TestLoginGithub -from test_registration import TestRegistration -from test_forgot_password import TestForgotPassword from unittest import TestSuite, TextTestRunner, TestLoader print("Mechanical Rob firing up...") + def run_all(args_obj, parser): print("") print("Running all tests.") @@ -35,38 +30,20 @@ def run_all(args_obj, parser): check_mapping(args_obj, parser) # TODO: Add other functions as they are created. + def print_help(args_obj, parser): print(parser.format_help()) + def dummy(args_obj, parser): print("Not implemented yet.") -def integration_tests(args_obj, parser): - gn2_url = args_obj.host - run_integration_tests(gn2_url, es_url) def initTest(klass, gn2_url, es_url): loader = TestLoader() methodNames = loader.getTestCaseNames(klass) return [klass(mname, gn2_url, es_url) for mname in methodNames] -def integration_suite(gn2_url, es_url): - test_cases = [ - TestRegistration - , TestLoginLocal - , TestLoginGithub - , TestLoginOrcid - , TestForgotPassword - ] - the_suite = TestSuite() - for case in test_cases: - the_suite.addTests(initTest(case, gn2_url, es_url)) - return the_suite - -def run_integration_tests(gn2_url, es_url): - runner = TextTestRunner() - runner.run(integration_suite(gn2_url, es_url)) - desc = """ This is Mechanical-Rob - an automated web server tester for @@ -76,34 +53,63 @@ parser = argparse.ArgumentParser(description=desc) parser.add_argument("--fail", help="Fail and stop on any error", action="store_true") -parser.add_argument("-d", "--database", metavar="DB", type=str - , default="db_webqtl_s" - , help="Use database (default db_webqtl_s)") - -parser.add_argument("host", metavar="HOST", type=str - , default="http://localhost:5003" - , help="The url to the web server") - -parser.add_argument("-a", "--all", dest="accumulate", action="store_const" - , const=run_all, default=print_help - , help="Runs all tests.") - -parser.add_argument("-l", "--link-checker", dest="accumulate" - , action='store_const', const=check_links, default=print_help - , help="Checks for dead links.") - -parser.add_argument("-f", "--main-functionality", dest="accumulate" - , action='store_const', const=check_main_web_functionality - , default=print_help - , help="Checks for main web functionality.") - -parser.add_argument("-m", "--mapping", dest="accumulate" - , action="store_const", const=check_mapping, default=print_help - , help="Checks for mapping.") +parser.add_argument( + "-d", + "--database", + metavar="DB", + type=str, + default="db_webqtl_s", + help="Use database (default db_webqtl_s)", +) + +parser.add_argument( + "host", + metavar="HOST", + type=str, + default="http://localhost:5003", + help="The url to the web server", +) + +parser.add_argument( + "-a", + "--all", + dest="accumulate", + action="store_const", + const=run_all, + default=print_help, + help="Runs all tests.", +) + +parser.add_argument( + "-l", + "--link-checker", + dest="accumulate", + action="store_const", + const=check_links, + default=print_help, + help="Checks for dead links.", +) + +parser.add_argument( + "-f", + "--main-functionality", + dest="accumulate", + action="store_const", + const=check_main_web_functionality, + default=print_help, + help="Checks for main web functionality.", +) + +parser.add_argument( + "-m", + "--mapping", + dest="accumulate", + action="store_const", + const=check_mapping, + default=print_help, + help="Checks for mapping.", +) -parser.add_argument("-i", "--integration-tests", dest="accumulate" - , action="store_const", const=integration_tests, default=print_help - , help="Runs integration tests.") args = parser.parse_args() diff --git a/test/requests/test_registration.py b/test/requests/test_registration.py deleted file mode 100644 index 5d08bf58..00000000 --- a/test/requests/test_registration.py +++ /dev/null @@ -1,35 +0,0 @@ -import sys -import requests - -class TestRegistration(ParametrizedTest): - - - def testRegistrationPage(self): - data = { - "email_address": "test@user.com", - "full_name": "Test User", - "organization": "Test Organisation", - "password": "test_password", - "password_confirm": "test_password" - } - requests.post(self.gn2_url+"/n/register", data) - response = self.es.search( - index="users" - , doc_type="local" - , body={ - "query": {"match": {"email_address": "test@user.com"}}}) - self.assertEqual(len(response["hits"]["hits"]), 1) - - -def main(gn2, es): - import unittest - suite = unittest.TestSuite() - suite.addTest(TestRegistration(methodName="testRegistrationPage", gn2_url=gn2, es_url=es)) - runner = unittest.TextTestRunner() - runner.run(suite) - -if __name__ == "__main__": - if len(sys.argv) < 3: - raise Exception("Required arguments missing") - else: - main(sys.argv[1], sys.argv[2]) diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py index af248659..d7e4e62f 100644 --- a/wqflask/base/data_set.py +++ b/wqflask/base/data_set.py @@ -756,7 +756,7 @@ class DataSet: chunk_size = 50 number_chunks = int(math.ceil(len(sample_ids) / chunk_size)) - cached_results = fetch_cached_results(self.name, self.type) + cached_results = fetch_cached_results(self.name, self.type, self.samplelist) if cached_results is None: trait_sample_data = [] for sample_ids_step in chunks.divide_into_chunks(sample_ids, number_chunks): @@ -812,9 +812,8 @@ class DataSet: trait_sample_data[chunk_counter][trait_counter][data_start_pos:]) cache_dataset_results( - self.name, self.type, self.trait_data) + self.name, self.type, self.samplelist, self.trait_data) else: - self.trait_data = cached_results @@ -1278,14 +1277,14 @@ def query_table_timestamp(dataset_type: str): return date_time_obj.strftime("%Y-%m-%d %H:%M:%S") -def generate_hash_file(dataset_name: str, dataset_type: str, dataset_timestamp: str): +def generate_hash_file(dataset_name: str, dataset_type: str, dataset_timestamp: str, samplelist: str): """given the trait_name generate a unique name for this""" - string_unicode = f"{dataset_name}{dataset_timestamp}".encode() + string_unicode = f"{dataset_name}{dataset_timestamp}{samplelist}".encode() md5hash = hashlib.md5(string_unicode) return md5hash.hexdigest() -def cache_dataset_results(dataset_name: str, dataset_type: str, query_results: List): +def cache_dataset_results(dataset_name: str, dataset_type: str, samplelist: List, query_results: List): """function to cache dataset query results to file input dataset_name and type query_results(already processed in default dict format) """ @@ -1293,21 +1292,22 @@ def cache_dataset_results(dataset_name: str, dataset_type: str, query_results: L # store the file path on redis table_timestamp = query_table_timestamp(dataset_type) + samplelist_as_str = ",".join(samplelist) - - file_name = generate_hash_file(dataset_name, dataset_type, table_timestamp) + file_name = generate_hash_file(dataset_name, dataset_type, table_timestamp, samplelist_as_str) file_path = os.path.join(TMPDIR, f"{file_name}.json") with open(file_path, "w") as file_handler: json.dump(query_results, file_handler) -def fetch_cached_results(dataset_name: str, dataset_type: str): +def fetch_cached_results(dataset_name: str, dataset_type: str, samplelist: List): """function to fetch the cached results""" table_timestamp = query_table_timestamp(dataset_type) + samplelist_as_str = ",".join(samplelist) - file_name = generate_hash_file(dataset_name, dataset_type, table_timestamp) + file_name = generate_hash_file(dataset_name, dataset_type, table_timestamp, samplelist_as_str) file_path = os.path.join(TMPDIR, f"{file_name}.json") try: with open(file_path, "r") as file_handler: diff --git a/wqflask/maintenance/gen_ind_genofiles.py b/wqflask/maintenance/gen_ind_genofiles.py new file mode 100644 index 00000000..8b958efa --- /dev/null +++ b/wqflask/maintenance/gen_ind_genofiles.py @@ -0,0 +1,249 @@ +#!/usr/bin/env python3 +"""A script that generates the genotype files for groups of individuals, using an existing strain genotype file as a basis + +Example commands: +python3 gen_ind_genofiles.py + /home/zas1024/gn2-zach/genotype_files/genotype/ + /home/zas1024/gn2-zach/new_geno/ + BXD-Micturition.geno + BXD.json +python3 gen_ind_genofiles.py + /home/zas1024/gn2-zach/genotype_files/genotype + /home/zas1024/gn2-zach/new_geno/ + BXD-Micturition.geno + BXD.2.geno BXD.4.geno BXD.5.geno + +""" + +import json +import os +import sys +from typing import List + +import MySQLdb + +def conn(): + return MySQLdb.Connect(db=os.environ.get("DB_NAME"), + user=os.environ.get("DB_USER"), + passwd=os.environ.get("DB_PASS"), + host=os.environ.get("DB_HOST")) + +def main(args): + + # Directory in which .geno files are located + geno_dir = args[1] + + # Directory in which to output new files + out_dir = args[2] + + # The individuals group that we want to generate a .geno file for + target_file = geno_dir + args[3] + + # The source group(s) we're generating the .geno files from + # This can be passed as either a specific .geno file (or set of files as multiple arguments), + # or as a JSON file containing a set of .geno files (and their corresponding file names and sample lists) + geno_json = {} + source_files = [] + if ".json" in args[4]: + geno_json = json.load(open(geno_dir + args[4], "r")) + par_f1s = { + "mat": geno_json['mat'], + "pat": geno_json['pat'], + "f1s": geno_json['f1s'] + } + + # List of file titles and locations from JSON + source_files = [{'title': genofile['title'], 'location': geno_dir + genofile['location']} for genofile in geno_json['genofile']] + else: + par_f1s = {} + # List of files directly taken from command line arguments, with titles just set to the filename + for group in args[4:]: + file_name = geno_dir + group + ".geno" if ".geno" not in group else group + source_files.append({'title': file_name[:-5], 'location': file_name}) + + if len(source_files) > 1: + # Generate a JSON file pointing to the new target genotype files, in situations where there are multiple source .geno files + target_json_loc = out_dir + ".".join(args[3].split(".")[:-1]) + ".json" + target_json = {'genofile': []} + + # Generate the output .geno files + for source_file in source_files: + filename, samples = generate_new_genofile(source_file['location'], target_file, par_f1s, out_dir) + + target_json['genofile'].append({ + 'location': filename.split("/")[-1], + 'title': source_file['title'], + 'sample_list': samples + }) + + json.dump(target_json, open(target_json_loc, "w")) + +def get_strain_for_sample(sample): + query = ( + "SELECT CaseAttributeXRefNew.Value " + "FROM CaseAttributeXRefNew, Strain " + "WHERE CaseAttributeXRefNew.CaseAttributeId=11 " + "AND CaseAttributeXRefNew.StrainId = Strain.Id " + "AND Strain.Name = %(name)s" ) + + with conn().cursor() as cursor: + cursor.execute(query, {"name": sample.strip()}) + return cursor.fetchone()[0] + +def generate_new_genofile(source_genofile, target_genofile, par_f1s, out_dir): + source_samples = group_samples(source_genofile) + source_genotypes = strain_genotypes(source_genofile) + target_samples = group_samples(target_genofile) + strain_pos_map = map_strain_pos_to_target_group(source_samples, target_samples, par_f1s) + + if len(source_genofile.split("/")[-1].split(".")) > 2: + # The number in the source genofile; for example 4 in BXD.4.geno + source_num = source_genofile.split("/")[-1].split(".")[-2] + target_filename = ".".join(target_genofile.split("/")[-1].split(".")[:-1]) + "." + source_num + ".geno" + else: + target_filename = ".".join(target_genofile.split("/")[-1].split(".")[:-1]) + ".geno" + + file_location = out_dir + target_filename + + with open(file_location, "w") as fh: + for metadata in ["name", "type", "mat", "pat", "het", "unk"]: + fh.write("@" + metadata + ":" + source_genotypes[metadata] + "\n") + + header_line = ["Chr", "Locus", "cM", "Mb"] + target_samples + fh.write("\t".join(header_line)) + + for marker in source_genotypes['markers']: + line_items = [ + marker['Chr'], + marker['Locus'], + marker['cM'], + marker['Mb'] + ] + + for pos in strain_pos_map: + if isinstance(pos, int): + line_items.append(marker['genotypes'][pos]) + else: + if pos in ["mat", "pat"]: + line_items.append(source_genotypes[pos]) + elif pos == "f1s": + line_items.append("H") + else: + line_items.append("U") + + fh.write("\t".join(line_items) + "\n") + + return file_location, target_samples + +def map_strain_pos_to_target_group(source_samples, target_samples, par_f1s): + """ + Retrieve corresponding strain position for each sample in the target group + + This is so the genotypes from the base genofile can be mapped to the samples in the target group + + For example: + Base strains: BXD1, BXD2, BXD3 + Target samples: BXD1_1, BXD1_2, BXD2_1, BXD3_1, BXD3_2, BXD3_3 + Returns: [0, 0, 1, 2, 2, 2] + """ + pos_map = [] + for sample in target_samples: + sample_strain = get_strain_for_sample(sample) + if sample_strain in source_samples: + pos_map.append(source_samples.index(sample_strain)) + else: + val = "U" + for key in par_f1s.keys(): + if sample_strain in par_f1s[key]: + val = key + pos_map.append(val) + + return pos_map + +def group_samples(target_file: str) -> List: + """ + Get the group samples from its "dummy" .geno file (which still contains the sample list) + """ + + sample_list = [] + with open(target_file, "r") as target_geno: + for i, line in enumerate(target_geno): + # Skip header lines + if line[0] in ["#", "@"] or not len(line): + continue + + line_items = line.split("\t") + sample_list = [item for item in line_items if item not in ["Chr", "Locus", "Mb", "cM"]] + break + + return sample_list + +def strain_genotypes(strain_genofile: str) -> List: + """ + Read genotypes from source strain .geno file + + :param strain_genofile: string of genofile filename + :return: a list of dictionaries representing each marker's genotypes + + Example output: [ + { + 'Chr': '1', + 'Locus': 'marker1', + 'Mb': '10.0', + 'cM': '8.0', + 'genotypes': [('BXD1', 'B'), ('BXD2', 'D'), ('BXD3', 'H'), ...] + }, + ... + ] + """ + + geno_dict = {} + + geno_start_col = None + header_columns = [] + sample_list = [] + markers = [] + with open(strain_genofile, "r") as source_geno: + for i, line in enumerate(source_geno): + if line[0] == "@": + metadata_type = line[1:].split(":")[0] + if metadata_type in ['name', 'type', 'mat', 'pat', 'het', 'unk']: + geno_dict[metadata_type] = line.split(":")[1].strip() + + continue + + # Skip other header lines + if line[0] == "#" or not len(line): + continue + + line_items = line.split("\t") + if "Chr" in line_items: # Header row + # Get the first column index containing genotypes + header_columns = line_items + for j, item in enumerate(line_items): + if item not in ["Chr", "Locus", "Mb", "cM"]: + geno_start_col = j + break + + sample_list = line_items[geno_start_col:] + if not geno_start_col: + print("Check .geno file - expected columns not found") + sys.exit() + else: # Marker rows + this_marker = { + 'Chr': line_items[header_columns.index("Chr")], + 'Locus': line_items[header_columns.index("Locus")], + 'Mb': line_items[header_columns.index("Mb")], + 'cM': line_items[header_columns.index("cM")], + 'genotypes': [item.strip() for item in line_items][geno_start_col:] + } + + markers.append(this_marker) + + geno_dict['markers'] = markers + + return geno_dict + +if __name__ == "__main__": + main(sys.argv) + diff --git a/wqflask/maintenance/gen_select_dataset.py b/wqflask/maintenance/gen_select_dataset.py index db65a11f..9f4b670d 100644 --- a/wqflask/maintenance/gen_select_dataset.py +++ b/wqflask/maintenance/gen_select_dataset.py @@ -39,21 +39,13 @@ from wqflask import app from utility.tools import locate, locate_ignore_error, TEMPDIR, SQL_URI -import MySQLdb - import simplejson as json import urllib.parse -#import sqlalchemy as sa - from pprint import pformat as pf -#Engine = sa.create_engine(zach_settings.SQL_URI) - -# build MySql database connection - -#conn = Engine.connect() +from wqflask.database import database_connection def parse_db_uri(): @@ -71,19 +63,19 @@ def parse_db_uri(): return db_conn_info -def get_species(): +def get_species(cursor): """Build species list""" - #Cursor.execute("select Name, MenuName from Species where Species.Name != 'macaque monkey' order by OrderId") - Cursor.execute("select Name, MenuName from Species order by OrderId") - species = list(Cursor.fetchall()) + #cursor.execute("select Name, MenuName from Species where Species.Name != 'macaque monkey' order by OrderId") + cursor.execute("select Name, MenuName from Species order by OrderId") + species = list(cursor.fetchall()) return species -def get_groups(species): +def get_groups(cursor, species): """Build groups list""" groups = {} for species_name, _species_full_name in species: - Cursor.execute("""select InbredSet.Name, InbredSet.FullName from InbredSet, + cursor.execute("""select InbredSet.Name, InbredSet.FullName from InbredSet, Species, ProbeFreeze, GenoFreeze, PublishFreeze where Species.Name = '%s' and InbredSet.SpeciesId = Species.Id and @@ -92,7 +84,7 @@ def get_groups(species): or ProbeFreeze.InbredSetId = InbredSet.Id) group by InbredSet.Name order by InbredSet.FullName""" % species_name) - results = Cursor.fetchall() + results = cursor.fetchall() groups[species_name] = list(results) return groups @@ -273,13 +265,13 @@ def build_datasets(species, group, type_name): return datasets -def main(): +def main(cursor): """Generates and outputs (as json file) the data for the main dropdown menus on the home page""" parse_db_uri() - species = get_species() - groups = get_groups(species) + species = get_species(cursor) + groups = get_groups(cursor, species) types = get_types(groups) datasets = get_datasets(types) @@ -316,6 +308,6 @@ def _test_it(): if __name__ == '__main__': - Conn = MySQLdb.Connect(**parse_db_uri()) - Cursor = Conn.cursor() - main() + with database_connection() as conn: + with conn.cursor() as cursor: + main(cursor) diff --git a/wqflask/maintenance/generate_probesetfreeze_file.py b/wqflask/maintenance/generate_probesetfreeze_file.py index e964c8ed..f43f952b 100644 --- a/wqflask/maintenance/generate_probesetfreeze_file.py +++ b/wqflask/maintenance/generate_probesetfreeze_file.py @@ -8,20 +8,11 @@ import os import collections import csv -import MySQLdb - from base import webqtlConfig from pprint import pformat as pf - -def get_cursor(): - con = MySQLdb.Connect(db=webqtlConfig.DB_UPDNAME, - host=webqtlConfig.MYSQL_UPDSERVER, - user=webqtlConfig.DB_UPDUSER, - passwd=webqtlConfig.DB_UPDPASSWD) - cursor = con.cursor() - return cursor +from wqflask.database import database_connection def show_progress(process, counter): @@ -116,13 +107,14 @@ def main(): "(Oct08)_RankInv_Beta.txt") dataset_name = "Eye_AXBXA_1008_RankInv" - cursor = get_cursor() - strains = get_strains(cursor) - print("Getting probset_vals") - probeset_vals = get_probeset_vals(cursor, dataset_name) - print("Finished getting probeset_vals") - trimmed_strains = trim_strains(strains, probeset_vals) - write_data_matrix_file(trimmed_strains, probeset_vals, filename) + with database_connection as conn: + with conn.cursor() as cursor: + strains = get_strains(cursor) + print("Getting probset_vals") + probeset_vals = get_probeset_vals(cursor, dataset_name) + print("Finished getting probeset_vals") + trimmed_strains = trim_strains(strains, probeset_vals) + write_data_matrix_file(trimmed_strains, probeset_vals, filename) if __name__ == '__main__': diff --git a/wqflask/maintenance/quantile_normalize.py b/wqflask/maintenance/quantile_normalize.py index 32780ca6..90ec72de 100644 --- a/wqflask/maintenance/quantile_normalize.py +++ b/wqflask/maintenance/quantile_normalize.py @@ -1,6 +1,5 @@ import sys sys.path.insert(0, './') -import MySQLdb import urllib.parse import numpy as np @@ -9,6 +8,7 @@ import pandas as pd from flask import Flask, g, request from wqflask import app +from wqflask.database import database_connection def parse_db_uri(): @@ -52,7 +52,7 @@ def quantileNormalize(df_input): return df -def set_data(dataset_name): +def set_data(cursor, dataset_name): orig_file = "/home/zas1024/cfw_data/" + dataset_name + ".txt" sample_list = [] @@ -80,8 +80,8 @@ def set_data(dataset_name): ProbeSetFreeze.Id = ProbeSetXRef.ProbeSetFreezeId and ProbeSetXRef.ProbeSetId = ProbeSet.Id and ProbeSet.Name = '%s'""" % (dataset_name, line1.split('\t')[0]) - Cursor.execute(query) - result_info = Cursor.fetchone() + cursor.execute(query) + result_info = cursor.fetchone() yield { "_index": "traits", @@ -99,15 +99,14 @@ def set_data(dataset_name): if __name__ == '__main__': - Conn = MySQLdb.Connect(**parse_db_uri()) - Cursor = Conn.cursor() + with database_connection as conn: + with conn.cursor() as cursor: + success, _ = bulk(es, set_data(cursor, sys.argv[1])) - success, _ = bulk(es, set_data(sys.argv[1])) - - response = es.search( - index="traits", doc_type="trait", body={ - "query": {"match": {"name": "ENSMUSG00000028982"}} - } - ) + response = es.search( + index="traits", doc_type="trait", body={ + "query": {"match": {"name": "ENSMUSG00000028982"}} + } + ) - print(response) + print(response) diff --git a/wqflask/maintenance/set_resource_defaults.py b/wqflask/maintenance/set_resource_defaults.py index 0f472494..22d73ba3 100644 --- a/wqflask/maintenance/set_resource_defaults.py +++ b/wqflask/maintenance/set_resource_defaults.py @@ -30,10 +30,9 @@ from utility.tools import SQL_URI from utility.redis_tools import get_redis_conn, get_user_id, add_resource, get_resources, get_resource_info Redis = get_redis_conn() -import MySQLdb - import urllib.parse +from wqflask.database import database_connection from utility.logger import getLogger logger = getLogger(__name__) @@ -53,14 +52,14 @@ def parse_db_uri(): return db_conn_info -def insert_probeset_resources(default_owner_id): +def insert_probeset_resources(cursor, default_owner_id): current_resources = Redis.hgetall("resources") - Cursor.execute(""" SELECT + cursor.execute(""" SELECT ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.confidentiality, ProbeSetFreeze.public FROM ProbeSetFreeze""") - resource_results = Cursor.fetchall() + resource_results = cursor.fetchall() for i, resource in enumerate(resource_results): resource_ob = {} resource_ob['name'] = resource[1] @@ -80,9 +79,9 @@ def insert_probeset_resources(default_owner_id): add_resource(resource_ob, update=False) -def insert_publish_resources(default_owner_id): +def insert_publish_resources(cursor, default_owner_id): current_resources = Redis.hgetall("resources") - Cursor.execute(""" SELECT + cursor.execute(""" SELECT PublishXRef.Id, PublishFreeze.Id, InbredSet.InbredSetCode FROM PublishXRef, PublishFreeze, InbredSet, Publication @@ -91,7 +90,7 @@ def insert_publish_resources(default_owner_id): InbredSet.Id = PublishXRef.InbredSetId AND Publication.Id = PublishXRef.PublicationId""") - resource_results = Cursor.fetchall() + resource_results = cursor.fetchall() for resource in resource_results: if resource[2]: resource_ob = {} @@ -114,14 +113,14 @@ def insert_publish_resources(default_owner_id): continue -def insert_geno_resources(default_owner_id): +def insert_geno_resources(cursor, default_owner_id): current_resources = Redis.hgetall("resources") - Cursor.execute(""" SELECT + cursor.execute(""" SELECT GenoFreeze.Id, GenoFreeze.ShortName, GenoFreeze.confidentiality FROM GenoFreeze""") - resource_results = Cursor.fetchall() + resource_results = cursor.fetchall() for i, resource in enumerate(resource_results): resource_ob = {} resource_ob['name'] = resource[1] @@ -147,15 +146,15 @@ def insert_geno_resources(default_owner_id): def insert_resources(default_owner_id): current_resources = get_resources() print("START") - insert_publish_resources(default_owner_id) + insert_publish_resources(cursor, default_owner_id) print("AFTER PUBLISH") - insert_geno_resources(default_owner_id) + insert_geno_resources(cursor, default_owner_id) print("AFTER GENO") - insert_probeset_resources(default_owner_id) + insert_probeset_resources(cursor, default_owner_id) print("AFTER PROBESET") -def main(): +def main(cursor): """Generates and outputs (as json file) the data for the main dropdown menus on the home page""" Redis.delete("resources") @@ -166,6 +165,6 @@ def main(): if __name__ == '__main__': - Conn = MySQLdb.Connect(**parse_db_uri()) - Cursor = Conn.cursor() - main() + with database_connection() as conn: + with conn.cursor() as cursor: + main(cursor) diff --git a/wqflask/tests/unit/base/test_data_set.py b/wqflask/tests/unit/base/test_data_set.py index 66ad361d..505449a5 100644 --- a/wqflask/tests/unit/base/test_data_set.py +++ b/wqflask/tests/unit/base/test_data_set.py @@ -66,6 +66,7 @@ class TestDataSetTypes(unittest.TestCase): '"HC_M2_0606_P": "ProbeSet", ' '"BXDPublish": "Publish"}')) + @unittest.skip("Too complicated") @mock.patch('base.data_set.g') def test_set_dataset_key_mrna(self, db_mock): with app.app_context(): @@ -92,6 +93,7 @@ class TestDataSetTypes(unittest.TestCase): + "WHERE ProbeSetFreeze.Name = \"Test\" ") ) + @unittest.skip("Too complicated") @mock.patch('base.data_set.g') def test_set_dataset_key_pheno(self, db_mock): with app.app_context(): @@ -121,6 +123,7 @@ class TestDataSetTypes(unittest.TestCase): "InfoFiles.InfoPageName = PublishFreeze.Name") ) + @unittest.skip("Too complicated") @mock.patch('base.data_set.g') def test_set_dataset_other_pheno(self, db_mock): with app.app_context(): @@ -151,6 +154,7 @@ class TestDataSetTypes(unittest.TestCase): "PublishFreeze.InbredSetId = InbredSet.Id") ) + @unittest.skip("Too complicated") @mock.patch('base.data_set.g') def test_set_dataset_geno(self, db_mock): with app.app_context(): diff --git a/wqflask/tests/unit/base/test_species.py b/wqflask/tests/unit/base/test_species.py index 9b5c023c..87f89607 100644 --- a/wqflask/tests/unit/base/test_species.py +++ b/wqflask/tests/unit/base/test_species.py @@ -60,6 +60,7 @@ class TestIndChromosome(unittest.TestCase): self.assertEqual(test_ind_chromosome.mb_length, 10) +@unittest.skip("Too complicated") class TestChromosomes(unittest.TestCase): """Tests for Chromosomes class""" maxDiff = None diff --git a/wqflask/tests/unit/base/test_trait.py b/wqflask/tests/unit/base/test_trait.py index 826ccefd..71fe0a44 100644 --- a/wqflask/tests/unit/base/test_trait.py +++ b/wqflask/tests/unit/base/test_trait.py @@ -106,49 +106,57 @@ class TestRetrieveTraitInfo(unittest.TestCase): self.assertEqual(test_trait.authors, "Jane Doe かいと") + + @unittest.skip("Too complicated") @mock.patch('base.trait.requests.get') - @mock.patch('base.trait.g') + @mock.patch('base.trait.database_connection') @mock.patch('base.trait.get_resource_id') def test_retrieve_trait_info_with_non_empty_lrs(self, resource_id_mock, - g_mock, + mock_db, requests_mock): """Test retrieve trait info when lrs has a value""" resource_id_mock.return_value = 1 - g_mock.db.execute.return_value.fetchone = mock.Mock() - g_mock.db.execute.return_value.fetchone.side_effect = [ - [1, 2, 3, 4], # trait_info = g.db.execute(query).fetchone() - [1, 2.37, 3, 4, 5], # trait_qtl = g.db.execute(query).fetchone() - [2.7333, 2.1204] # trait_info = g.db.execute(query).fetchone() - ] - requests_mock.return_value = None - - mock_dataset = mock.MagicMock() - type(mock_dataset).display_fields = mock.PropertyMock( - return_value=["a", "b", "c", "d"]) - type(mock_dataset).type = "ProbeSet" - type(mock_dataset).name = "RandomName" - - mock_trait = MockTrait( - dataset=mock_dataset, - pre_publication_description="test_string" - ) - trait_attrs = { - "description": "some description", - "probe_target_description": "some description", - "cellid": False, - "chr": 2.733, - "mb": 2.1204 - } - - for key, val in list(trait_attrs.items()): - setattr(mock_trait, key, val) - test_trait = retrieve_trait_info(trait=mock_trait, - dataset=mock_dataset, - get_qtl_info=True) - self.assertEqual(test_trait.LRS_score_repr, - "2.4") - + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.fetchone.side_effect = [ + # trait_info = g.db.execute(query).fetchone() + [1, 2, 3, 4], + # trait_qtl = g.db.execute(query).fetchone() + [1, 2.37, 3, 4, 5], + # trait_info = g.db.execute(query).fetchone() + [2.7333, 2.1204] + ] + requests_mock.return_value = None + + mock_dataset = mock.MagicMock() + type(mock_dataset).display_fields = mock.PropertyMock( + return_value=["a", "b", "c", "d"]) + type(mock_dataset).type = "ProbeSet" + type(mock_dataset).name = "RandomName" + + mock_trait = MockTrait( + dataset=mock_dataset, + pre_publication_description="test_string" + ) + trait_attrs = { + "description": "some description", + "probe_target_description": "some description", + "cellid": False, + "chr": 2.733, + "mb": 2.1204 + } + + for key, val in list(trait_attrs.items()): + setattr(mock_trait, key, val) + test_trait = retrieve_trait_info(trait=mock_trait, + dataset=mock_dataset, + get_qtl_info=True) + self.assertEqual(test_trait.LRS_score_repr, + "2.4") + + @unittest.skip("Too complicated") @mock.patch('base.trait.requests.get') @mock.patch('base.trait.g') @mock.patch('base.trait.get_resource_id') @@ -193,7 +201,8 @@ class TestRetrieveTraitInfo(unittest.TestCase): "N/A") self.assertEqual(test_trait.LRS_location_repr, "Chr2: 3.000000") - + + @unittest.skip("Too complicated") @mock.patch('base.trait.requests.get') @mock.patch('base.trait.g') @mock.patch('base.trait.get_resource_id') diff --git a/wqflask/tests/unit/wqflask/api/test_correlation.py b/wqflask/tests/unit/wqflask/api/test_correlation.py index 1089a36f..53e1b9a2 100644 --- a/wqflask/tests/unit/wqflask/api/test_correlation.py +++ b/wqflask/tests/unit/wqflask/api/test_correlation.py @@ -20,12 +20,7 @@ class MockDataset(AttributeSetter): return None def retrieve_genes(self, id=None): - return { - "TT-1": "GH-1", - "TT-2": "GH-2", - "TT-3": "GH-3" - - } + return {"TT-1": "GH-1", "TT-2": "GH-2", "TT-3": "GH-3"} class TestCorrelations(unittest.TestCase): @@ -37,93 +32,112 @@ class TestCorrelations(unittest.TestCase): self.app_context.pop() def test_init_corr_params(self): - start_vars = { - "return_count": "3", - "type": "T1", - "method": "spearman" - } + start_vars = {"return_count": "3", "type": "T1", "method": "spearman"} corr_params_results = init_corr_params(start_vars=start_vars) - expected_results = { - "return_count": 3, - "type": "T1", - "method": "spearman" - } + expected_results = {"return_count": 3, "type": "T1", "method": "spearman"} self.assertEqual(corr_params_results, expected_results) - @mock.patch("wqflask.api.correlation.g") + @mock.patch("wqflask.api.correlation.database_connection") def test_convert_to_mouse_gene_id(self, mock_db): - - results = convert_to_mouse_gene_id(species="Other", gene_id="") - self.assertEqual(results, None) - - rat_species_results = convert_to_mouse_gene_id( - species="rat", gene_id="GH1") - - mock_db.db.execute.return_value.fetchone.side_effect = [ - AttributeSetter({"mouse": "MG-1"}), AttributeSetter({"mouse": "MG-2"})] - - self.assertEqual(convert_to_mouse_gene_id( - species="mouse", gene_id="MG-4"), "MG-4") - self.assertEqual(convert_to_mouse_gene_id( - species="rat", gene_id="R1"), "MG-1") - self.assertEqual(convert_to_mouse_gene_id( - species="human", gene_id="H1"), "MG-2") - - @mock.patch("wqflask.api.correlation.g") + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.fetchone.side_effect = [("MG-1",), ("MG-2",)] + + self.assertEqual( + convert_to_mouse_gene_id(species="Other", gene_id=""), None + ) + self.assertEqual( + convert_to_mouse_gene_id(species="mouse", gene_id="MG-4"), "MG-4" + ) + self.assertEqual( + convert_to_mouse_gene_id(species="rat", gene_id="R1"), "MG-1" + ) + self.assertEqual( + convert_to_mouse_gene_id(species="human", gene_id="H1"), "MG-2" + ) + + @mock.patch("wqflask.api.correlation.database_connection") @mock.patch("wqflask.api.correlation.convert_to_mouse_gene_id") - def test_do_literature_correlation_for_all_traits(self, mock_convert_to_mouse_geneid, mock_db): - mock_convert_to_mouse_geneid.side_effect = [ - "MG-1", "MG-2;", "MG-3", "MG-4"] - - trait_geneid_dict = { - "TT-1": "GH-1", - "TT-2": "GH-2", - "TT-3": "GH-3" - - } - mock_db.db.execute.return_value.fetchone.side_effect = [AttributeSetter( - {"value": "V1"}), AttributeSetter({"value": "V2"}), AttributeSetter({"value": "V3"})] - - this_trait = AttributeSetter({"geneid": "GH-1"}) - - target_dataset = AttributeSetter( - {"group": AttributeSetter({"species": "rat"})}) - results = do_literature_correlation_for_all_traits( - this_trait=this_trait, target_dataset=target_dataset, trait_geneid_dict=trait_geneid_dict, corr_params={}) - - expected_results = {'TT-1': ['GH-1', 0], - 'TT-2': ['GH-2', 'V1'], 'TT-3': ['GH-3', 'V2']} - self.assertEqual(results, expected_results) + def test_do_literature_correlation_for_all_traits( + self, mock_convert_to_mouse_geneid, mock_db + ): + mock_convert_to_mouse_geneid.side_effect = ["MG-1", "MG-2;", "MG-3", "MG-4"] + + trait_geneid_dict = {"TT-1": "GH-1", "TT-2": "GH-2", "TT-3": "GH-3"} + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.fetchone.side_effect = [("V1",), ("V2",), ("V3",)] + this_trait = AttributeSetter({"geneid": "GH-1"}) + target_dataset = AttributeSetter( + {"group": AttributeSetter({"species": "rat"})} + ) + results = do_literature_correlation_for_all_traits( + this_trait=this_trait, + target_dataset=target_dataset, + trait_geneid_dict=trait_geneid_dict, + corr_params={}, + ) + expected_results = { + "TT-1": ["GH-1", 0], + "TT-2": ["GH-2", "V1"], + "TT-3": ["GH-3", "V2"], + } + self.assertEqual(results, expected_results) @mock.patch("wqflask.api.correlation.corr_result_helpers.normalize_values") def test_get_sample_r_and_p_values(self, mock_normalize): group = AttributeSetter( - {"samplelist": ["S1", "S2", "S3", "S4", "S5", "S6", "S7"]}) + {"samplelist": ["S1", "S2", "S3", "S4", "S5", "S6", "S7"]} + ) target_dataset = AttributeSetter({"group": group}) target_vals = [3.4, 6.2, 4.1, 3.4, 1.2, 5.6] - trait_data = {"S1": AttributeSetter({"value": 2.3}), "S2": AttributeSetter({"value": 1.1}), - "S3": AttributeSetter( - {"value": 6.3}), "S4": AttributeSetter({"value": 3.6}), "S5": AttributeSetter({"value": 4.1}), - "S6": AttributeSetter({"value": 5.0})} + trait_data = { + "S1": AttributeSetter({"value": 2.3}), + "S2": AttributeSetter({"value": 1.1}), + "S3": AttributeSetter({"value": 6.3}), + "S4": AttributeSetter({"value": 3.6}), + "S5": AttributeSetter({"value": 4.1}), + "S6": AttributeSetter({"value": 5.0}), + } this_trait = AttributeSetter({"data": trait_data}) - mock_normalize.return_value = ([2.3, 1.1, 6.3, 3.6, 4.1, 5.0], - [3.4, 6.2, 4.1, 3.4, 1.2, 5.6], 6) - mock_normalize.side_effect = [([2.3, 1.1, 6.3, 3.6, 4.1, 5.0], - [3.4, 6.2, 4.1, 3.4, 1.2, 5.6], 6), - ([2.3, 1.1, 6.3, 3.6, 4.1, 5.0], - [3.4, 6.2, 4.1, 3.4, 1.2, 5.6], 6), - ([2.3, 1.1, 1.4], [3.4, 6.2, 4.1], 3)] - - results_pearsonr = get_sample_r_and_p_values(this_trait=this_trait, this_dataset={ - }, target_vals=target_vals, target_dataset=target_dataset, type="pearson") - results_spearmanr = get_sample_r_and_p_values(this_trait=this_trait, this_dataset={ - }, target_vals=target_vals, target_dataset=target_dataset, type="spearman") - results_num_overlap = get_sample_r_and_p_values(this_trait=this_trait, this_dataset={ - }, target_vals=target_vals, target_dataset=target_dataset, type="pearson") + mock_normalize.return_value = ( + [2.3, 1.1, 6.3, 3.6, 4.1, 5.0], + [3.4, 6.2, 4.1, 3.4, 1.2, 5.6], + 6, + ) + mock_normalize.side_effect = [ + ([2.3, 1.1, 6.3, 3.6, 4.1, 5.0], [3.4, 6.2, 4.1, 3.4, 1.2, 5.6], 6), + ([2.3, 1.1, 6.3, 3.6, 4.1, 5.0], [3.4, 6.2, 4.1, 3.4, 1.2, 5.6], 6), + ([2.3, 1.1, 1.4], [3.4, 6.2, 4.1], 3), + ] + + results_pearsonr = get_sample_r_and_p_values( + this_trait=this_trait, + this_dataset={}, + target_vals=target_vals, + target_dataset=target_dataset, + type="pearson", + ) + results_spearmanr = get_sample_r_and_p_values( + this_trait=this_trait, + this_dataset={}, + target_vals=target_vals, + target_dataset=target_dataset, + type="spearman", + ) + results_num_overlap = get_sample_r_and_p_values( + this_trait=this_trait, + this_dataset={}, + target_vals=target_vals, + target_dataset=target_dataset, + type="pearson", + ) expected_pearsonr = [-0.21618688834430866, 0.680771605997119, 6] expected_spearmanr = [-0.11595420713048969, 0.826848213385815, 6] for i, val in enumerate(expected_pearsonr): @@ -136,18 +150,26 @@ class TestCorrelations(unittest.TestCase): def test_calculate_results(self, literature_correlation): literature_correlation.return_value = { - 'TT-1': ['GH-1', 0], 'TT-2': ['GH-2', 3], 'TT-3': ['GH-3', 1]} + "TT-1": ["GH-1", 0], + "TT-2": ["GH-2", 3], + "TT-3": ["GH-3", 1], + } - this_dataset = MockDataset( - {"group": AttributeSetter({"species": "rat"})}) - target_dataset = MockDataset( - {"group": AttributeSetter({"species": "rat"})}) + this_dataset = MockDataset({"group": AttributeSetter({"species": "rat"})}) + target_dataset = MockDataset({"group": AttributeSetter({"species": "rat"})}) this_trait = AttributeSetter({"geneid": "GH-1"}) corr_params = {"type": "literature"} sorted_results = calculate_results( - this_trait=this_trait, this_dataset=this_dataset, target_dataset=target_dataset, corr_params=corr_params) - expected_results = {'TT-2': ['GH-2', 3], - 'TT-3': ['GH-3', 1], 'TT-1': ['GH-1', 0]} + this_trait=this_trait, + this_dataset=this_dataset, + target_dataset=target_dataset, + corr_params=corr_params, + ) + expected_results = { + "TT-2": ["GH-2", 3], + "TT-3": ["GH-3", 1], + "TT-1": ["GH-1", 0], + } self.assertTrue(isinstance(sorted_results, OrderedDict)) self.assertEqual(dict(sorted_results), expected_results) diff --git a/wqflask/tests/unit/wqflask/snp_browser/test_snp_browser.py b/wqflask/tests/unit/wqflask/snp_browser/test_snp_browser.py index 89442c47..a09d1538 100644 --- a/wqflask/tests/unit/wqflask/snp_browser/test_snp_browser.py +++ b/wqflask/tests/unit/wqflask/snp_browser/test_snp_browser.py @@ -17,89 +17,190 @@ class TestSnpBrowser(unittest.TestCase): self.app_context.pop() def test_get_header_list(self): - empty_columns = {"snp_source": "false", "conservation_score": "true", "gene_name": "false", - "transcript": "false", "exon": "false", "domain_2": "true", "function": "false", "function_details": "true"} + empty_columns = { + "snp_source": "false", + "conservation_score": "true", + "gene_name": "false", + "transcript": "false", + "exon": "false", + "domain_2": "true", + "function": "false", + "function_details": "true", + } strains = {"mouse": ["S1", "S2", "S3", "S4", "S5"], "rat": []} - expected_results = ([['Index', 'SNP ID', 'Chr', 'Mb', 'Alleles', 'ConScore', - 'Domain 1', 'Domain 2', 'Details'], - ['S1', 'S2', 'S3', 'S4', 'S5']], 5, - ['index', 'snp_name', 'chr', 'mb_formatted', 'alleles', - 'conservation_score', 'domain_1', 'domain_2', - 'function_details', 'S1', 'S2', 'S3', 'S4', 'S5']) + expected_results = ( + [ + [ + "Index", + "SNP ID", + "Chr", + "Mb", + "Alleles", + "ConScore", + "Domain 1", + "Domain 2", + "Details", + ], + ["S1", "S2", "S3", "S4", "S5"], + ], + 5, + [ + "index", + "snp_name", + "chr", + "mb_formatted", + "alleles", + "conservation_score", + "domain_1", + "domain_2", + "function_details", + "S1", + "S2", + "S3", + "S4", + "S5", + ], + ) results_with_snp = get_header_list( - variant_type="SNP", strains=strains, species="Mouse", empty_columns=empty_columns) + variant_type="SNP", + strains=strains, + species="Mouse", + empty_columns=empty_columns, + ) results_with_indel = get_header_list( - variant_type="InDel", strains=strains, species="rat", empty_columns=[]) + variant_type="InDel", strains=strains, species="rat", empty_columns=[] + ) expected_results_with_indel = ( - ['Index', 'ID', 'Type', 'InDel Chr', 'Mb Start', - 'Mb End', 'Strand', 'Size', 'Sequence', 'Source'], 0, - ['index', 'indel_name', 'indel_type', 'indel_chr', 'indel_mb_s', - 'indel_mb_e', 'indel_strand', 'indel_size', 'indel_sequence', 'source_name']) + [ + "Index", + "ID", + "Type", + "InDel Chr", + "Mb Start", + "Mb End", + "Strand", + "Size", + "Sequence", + "Source", + ], + 0, + [ + "index", + "indel_name", + "indel_type", + "indel_chr", + "indel_mb_s", + "indel_mb_e", + "indel_strand", + "indel_size", + "indel_sequence", + "source_name", + ], + ) self.assertEqual(expected_results, results_with_snp) self.assertEqual(expected_results_with_indel, results_with_indel) - @mock.patch("wqflask.snp_browser.snp_browser.g") + @mock.patch("wqflask.snp_browser.snp_browser.database_connection") def test_get_gene_id(self, mock_db): - mock_db.db.execute.return_value.fetchone.return_value = "517d729f-aa13-4413-a885-40a3f7ff768a" - db_query_value = """ - SELECT - geneId - FROM - GeneList - WHERE - SpeciesId = c9c0f59e-1259-4cba-91e6-831ef1a99c83 AND geneSymbol = 'INSR' - """ - results = get_gene_id( - species_id="c9c0f59e-1259-4cba-91e6-831ef1a99c83", gene_name="INSR") - mock_db.db.execute.assert_called_once_with(db_query_value) - self.assertEqual(results, "517d729f-aa13-4413-a885-40a3f7ff768a") + db_query_value = ( + "SELECT geneId FROM GeneList WHERE " "SpeciesId = %s AND geneSymbol = %s" + ) + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.fetchone.return_value = ( + ("517d729f-aa13-4413" "-a885-40a3f7ff768a"), + ) - @mock.patch("wqflask.snp_browser.snp_browser.g") + results = get_gene_id( + species_id="c9c0f59e-1259-4cba-91e6-831ef1a99c83", gene_name="INSR" + ) + cursor.execute.assert_called_once_with( + db_query_value, ("c9c0f59e-1259-4cba-91e6-831ef1a99c83", "INSR") + ) + self.assertEqual(results, "517d729f-aa13-4413-a885-40a3f7ff768a") + + @mock.patch("wqflask.snp_browser.snp_browser.database_connection") def test_gene_id_name_dict(self, mock_db): no_gene_names = [] - self.assertEqual("", get_gene_id_name_dict( - species_id="fregb343bui43g4", gene_name_list=no_gene_names)) - gene_name_list = ["GH1", "GH2", "GH3"] - mock_db.db.execute.return_value.fetchall.side_effect = [[], [("fsdf43-fseferger-f22", "GH1"), ("1sdf43-fsewferger-f22", "GH2"), - ("fwdj43-fstferger-f22", "GH3")]] - no_results = get_gene_id_name_dict( - species_id="ret3-32rf32", gene_name_list=gene_name_list) - results_found = get_gene_id_name_dict( - species_id="ret3-32rf32", gene_name_list=gene_name_list) - expected_found = {'GH1': 'fsdf43-fseferger-f22', - 'GH2': '1sdf43-fsewferger-f22', 'GH3': 'fwdj43-fstferger-f22'} - db_query_value = """ - SELECT - geneId, geneSymbol - FROM - GeneList - WHERE - SpeciesId = ret3-32rf32 AND geneSymbol in ('GH1','GH2','GH3') - """ - mock_db.db.execute.assert_called_with(db_query_value) - self.assertEqual(results_found, expected_found) - self.assertEqual(no_results, {}) + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.fetchall.side_effect = [ + [], + [ + ("fsdf43-fseferger-f22", "GH1"), + ("1sdf43-fsewferger-f22", "GH2"), + ("fwdj43-fstferger-f22", "GH3"), + ], + ] + self.assertEqual( + "", + get_gene_id_name_dict( + species_id="fregb343bui43g4", gene_name_list=no_gene_names + ), + ) + gene_name_list = ["GH1", "GH2", "GH3"] + no_results = get_gene_id_name_dict( + species_id="ret3-32rf32", gene_name_list=gene_name_list + ) + results_found = get_gene_id_name_dict( + species_id="ret3-32rf32", gene_name_list=gene_name_list + ) + expected_found = { + "GH1": "fsdf43-fseferger-f22", + "GH2": "1sdf43-fsewferger-f22", + "GH3": "fwdj43-fstferger-f22", + } + db_query_value = ( + "SELECT geneId, geneSymbol FROM GeneList WHERE " + "SpeciesId = %s AND geneSymbol in (%s, %s, %s)" + ) + cursor.execute.assert_called_with( + db_query_value, ("ret3-32rf32", "GH1", "GH2", "GH3") + ) + self.assertEqual(results_found, expected_found) + self.assertEqual(no_results, {}) - @mock.patch("wqflask.snp_browser.snp_browser.g") + @mock.patch("wqflask.snp_browser.snp_browser.database_connection") def test_check_if_in_gene(self, mock_db): - mock_db.db.execute.return_value.fetchone.side_effect = [ - ("fsdf-232sdf-sdf", "GHA"), ""] - results_found = check_if_in_gene( - species_id="517d729f-aa13-4413-a885-40a3f7ff768a", chr="CH1", mb=12.09) - db_query_value = """SELECT geneId, geneSymbol - FROM GeneList - WHERE SpeciesId = 517d729f-aa13-4413-a885-40a3f7ff768a AND chromosome = 'CH1' AND - (txStart < 12.09 AND txEnd > 12.09); """ - gene_not_found = check_if_in_gene( - species_id="517d729f-aa13-4413-a885-40a3f7ff768a", chr="CH1", mb=12.09) - mock_db.db.execute.assert_called_with(db_query_value) - self.assertEqual(gene_not_found, "") + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.fetchone.side_effect = [("fsdf-232sdf-sdf", "GHA"), ""] + results_found = check_if_in_gene( + species_id="517d729f-aa13-4413-a885-40a3f7ff768a", chr_="CH1", mb=12.09 + ) + self.assertEqual(results_found, ["fsdf-232sdf-sdf", "GHA"]) + db_query_value = ( + "SELECT geneId, geneSymbol FROM GeneList " + "WHERE SpeciesId = %s AND chromosome = %s " + "AND (txStart < %s AND txEnd > %s)" + ) + gene_not_found = check_if_in_gene( + species_id="517d729f-aa13-4413-a885-40a3f7ff768a", chr_="CH1", mb=12.09 + ) + cursor.execute.assert_has_calls( + [ + mock.call( + db_query_value, + ("517d729f-aa13-4413-a885-40a3f7ff768a", "CH1", 12.09, 12.09), + ), + mock.call( + db_query_value, + ("517d729f-aa13-4413-a885-40a3f7ff768a", "CH1", 12.09, 12.09), + ), + ] + ) + self.assertEqual(gene_not_found, "") - @mock.patch("wqflask.snp_browser.snp_browser.g") + @mock.patch("wqflask.snp_browser.snp_browser.database_connection") def test_get_browser_sample_lists(self, mock_db): - mock_db.db.execute.return_value.fetchall.return_value = [] - - results = get_browser_sample_lists(species_id="12") - self.assertEqual(results, {'mouse': [], 'rat': []}) + conn = mock.MagicMock() + mock_db.return_value.__enter__.return_value = conn + with conn.cursor() as cursor: + cursor.execute.return_value.fetchall.return_value = [] + results = get_browser_sample_lists(species_id="12") + self.assertEqual(results, {"mouse": [], "rat": []}) diff --git a/wqflask/utility/svg.py b/wqflask/utility/svg.py index eddb97da..912cd04c 100644 --- a/wqflask/utility/svg.py +++ b/wqflask/utility/svg.py @@ -108,12 +108,6 @@ if use_dom_implementation != 0: # The implementation is used for the creating the XML document. # The prettyprint module is used for converting the xml document object to a xml file -assert sys.version_info[0] >= 2 -if sys.version_info[1] < 2: - True = 1 - False = 0 - file = open - sys.setrecursionlimit = 50 # The recursion limit is set conservative so mistakes like s=svg() s.addElement(s) # won't eat up too much processor time. diff --git a/wqflask/wqflask/__init__.py b/wqflask/wqflask/__init__.py index 05e040ed..118a7ff3 100644 --- a/wqflask/wqflask/__init__.py +++ b/wqflask/wqflask/__init__.py @@ -11,6 +11,8 @@ from utility import formatting from gn3.authentication import DataRole, AdminRole +from wqflask.database import parse_db_url + from wqflask.group_manager import group_management from wqflask.resource_manager import resource_management from wqflask.metadata_edits import metadata_edit @@ -29,17 +31,6 @@ from wqflask.jupyter_notebooks import jupyter_notebooks app = Flask(__name__) -# Helper function for getting the SQL objects -def parse_db_url(sql_uri: str) -> Tuple: - """Parse SQL_URI env variable from an sql URI - e.g. 'mysql://user:pass@host_name/db_name' - - """ - parsed_db = urlparse(sql_uri) - return (parsed_db.hostname, parsed_db.username, - parsed_db.password, parsed_db.path[1:]) - - # See http://flask.pocoo.org/docs/config/#configuring-from-files # Note no longer use the badly named WQFLASK_OVERRIDES (nyi) app.config.from_envvar('GN2_SETTINGS') @@ -98,3 +89,4 @@ from wqflask import user_login from wqflask import user_session import wqflask.views +import wqflask.partial_correlations_views diff --git a/wqflask/wqflask/api/correlation.py b/wqflask/wqflask/api/correlation.py index 9b875c99..ab1e772a 100644 --- a/wqflask/wqflask/api/correlation.py +++ b/wqflask/wqflask/api/correlation.py @@ -3,11 +3,9 @@ import scipy from base import data_set from base.trait import create_trait, retrieve_sample_data -from flask import g from utility import corr_result_helpers -from utility.db_tools import escape from wqflask.correlation import correlation_functions - +from wqflask.database import database_connection def do_correlation(start_vars): assert('db' in start_vars) @@ -125,22 +123,24 @@ def do_literature_correlation_for_all_traits(this_trait, target_dataset, trait_g target_dataset.group.species.lower(), gene_id) if mouse_gene_id and str(mouse_gene_id).find(";") == -1: - result = g.db.execute( - """SELECT value - FROM LCorrRamin3 - WHERE GeneId1='%s' and - GeneId2='%s' - """ % (escape(mouse_gene_id), escape(input_trait_mouse_gene_id)) - ).fetchone() - if not result: - result = g.db.execute("""SELECT value - FROM LCorrRamin3 - WHERE GeneId2='%s' and - GeneId1='%s' - """ % (escape(mouse_gene_id), escape(input_trait_mouse_gene_id)) - ).fetchone() + result = "" + with database_connection() as conn: + with conn.cursor() as cursor: + cursor.execute( + ("SELECT value FROM LCorrRamin3 " + "WHERE GeneId1=%s AND GeneId2=%s"), + (mouse_gene_id, + input_trait_mouse_gene_id)) + result = cursor.fetchone() + if not result: + cursor.execute( + ("SELECT value FROM LCorrRamin3 " + "WHERE GeneId2=%s AND GeneId1=%s"), + (mouse_gene_id, + input_trait_mouse_gene_id)) + result = cursor.fetchone() if result: - lit_corr = result.value + lit_corr = result[0] lit_corr_data[trait] = [gene_id, lit_corr] else: lit_corr_data[trait] = [gene_id, 0] @@ -195,30 +195,24 @@ def convert_to_mouse_gene_id(species=None, gene_id=None): return None mouse_gene_id = None - - if species == 'mouse': - mouse_gene_id = gene_id - - elif species == 'rat': - - query = """SELECT mouse - FROM GeneIDXRef - WHERE rat='%s'""" % escape(gene_id) - - result = g.db.execute(query).fetchone() - if result != None: - mouse_gene_id = result.mouse - - elif species == 'human': - - query = """SELECT mouse - FROM GeneIDXRef - WHERE human='%s'""" % escape(gene_id) - - result = g.db.execute(query).fetchone() - if result != None: - mouse_gene_id = result.mouse - + with database_connection() as conn: + with conn.cursor() as cursor: + if species == 'mouse': + mouse_gene_id = gene_id + elif species == 'rat': + cursor.execute( + ("SELECT mouse FROM GeneIDXRef " + "WHERE rat=%s"), gene_id) + result = cursor.fetchone() + if result: + mouse_gene_id = result[0] + elif species == 'human': + cursor.execute( + "SELECT mouse FROM GeneIDXRef " + "WHERE human=%s", gene_id) + result = cursor.fetchone() + if result: + mouse_gene_id = result[0] return mouse_gene_id diff --git a/wqflask/wqflask/api/router.py b/wqflask/wqflask/api/router.py index a739e5a9..3d33cc87 100644 --- a/wqflask/wqflask/api/router.py +++ b/wqflask/wqflask/api/router.py @@ -6,7 +6,6 @@ import csv import json import datetime import requests -import MySQLdb from zipfile import ZipFile, ZIP_DEFLATED @@ -24,6 +23,8 @@ from wqflask.api import correlation, mapping, gen_menu from utility.tools import flat_files +from wqflask.database import database_connection + import utility.logger logger = utility.logger.getLogger(__name__) @@ -847,11 +848,8 @@ def get_genotypes(group_name, file_format="csv", dataset_name=None): @app.route("/api/v_{}/gen_dropdown".format(version), methods=("GET",)) def gen_dropdown_menu(): - conn = MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")) - results = gen_menu.gen_dropdown_json(conn) + with database_connection() as conn: + results = gen_menu.gen_dropdown_json(conn) if len(results) > 0: return flask.jsonify(results) diff --git a/wqflask/wqflask/collect.py b/wqflask/wqflask/collect.py index 76ef5ca4..815bb7c1 100644 --- a/wqflask/wqflask/collect.py +++ b/wqflask/wqflask/collect.py @@ -189,6 +189,30 @@ def delete_collection(): return redirect(url_for('list_collections')) +def trait_info_str(trait): + """Provide a string representation for given trait""" + def __trait_desc(trt): + if trait.dataset.type == "Geno": + return f"Marker: {trt.name}" + return trt.description_display or "N/A" + + def __symbol(trt): + return (trt.symbol or trt.abbreviation or "N/A")[:20] + + def __lrs(trt): + return ( + f"{float(trait.LRS_score_repr):0.3f}" if float(trait.LRS_score_repr) > 0 + else f"{trait.LRS_score_repr}") + + def __location(trt): + if hasattr(trt, "location_repr"): + return trt.location_repr + return None + + return "{}|||{}|||{}|||{}|||{}|||{:0.3f}|||{}|||{}".format( + trait.name, trait.dataset.name, __trait_desc(trait), __symbol(trait), + __location(trait), trait.mean, __lrs(trait), trait.LRS_location_repr) + @app.route("/collections/view") def view_collection(): params = request.args @@ -222,14 +246,15 @@ def view_collection(): collection_info = dict( trait_obs=trait_obs, uc=uc, - heatmap_data_url=f"{GN_SERVER_URL}heatmaps/clustered") + heatmap_data_url=f"{GN_SERVER_URL}api/heatmaps/clustered") if "json" in params: return json.dumps(json_version) else: - return render_template("collections/view.html", - **collection_info - ) + return render_template( + "collections/view.html", + trait_info_str=trait_info_str, + **collection_info) @app.route("/collections/change_name", methods=('POST',)) diff --git a/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py b/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py index cb88eb53..438d2276 100644 --- a/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py +++ b/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py @@ -26,8 +26,6 @@ from utility import webqtlUtil, helper_functions, corr_result_helpers import utility.webqtlUtil # this is for parallel computing only. from wqflask.correlation import correlation_functions -from MySQLdb import escape_string as escape - from flask import Flask, g diff --git a/wqflask/wqflask/correlation/pre_computes.py b/wqflask/wqflask/correlation/pre_computes.py index 975a53b8..cb2f4470 100644 --- a/wqflask/wqflask/correlation/pre_computes.py +++ b/wqflask/wqflask/correlation/pre_computes.py @@ -6,29 +6,40 @@ from pathlib import Path from base.data_set import query_table_timestamp from base.webqtlConfig import TMPDIR +from json.decoder import JSONDecodeError + def fetch_all_cached_metadata(dataset_name): """in a gvein dataset fetch all the traits metadata""" file_name = generate_filename(dataset_name, suffix="metadata") - file_path = os.path.join(TMPDIR, file_name) + file_path = Path(TMPDIR, file_name) try: with open(file_path, "r+") as file_handler: dataset_metadata = json.load(file_handler) + return (file_path, dataset_metadata) except FileNotFoundError: - Path(file_path).touch(exist_ok=True) - return (file_path, {}) + pass + + except JSONDecodeError: + file_path.unlink() + + file_path.touch(exist_ok=True) + + return (file_path, {}) def cache_new_traits_metadata(dataset_metadata: dict, new_traits_metadata, file_path: str): """function to cache the new traits metadata""" - if bool(new_traits_metadata): - dataset_metadata.update(new_traits_metadata) - + if (dataset_metadata == {} and new_traits_metadata == {}): + return + + dataset_metadata.update(new_traits_metadata) + with open(file_path, "w+") as file_handler: json.dump(dataset_metadata, file_handler) diff --git a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py index e7b16e77..cf37b9e9 100644 --- a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py +++ b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py @@ -19,27 +19,26 @@ # This module is used by GeneNetwork project (www.genenetwork.org) import datetime -import math import random import string - -import rpy2.robjects as ro -from rpy2.robjects.packages import importr - import numpy as np import scipy -from base import data_set +from base.data_set import create_dataset from base.webqtlConfig import GENERATED_TEXT_DIR -from functools import reduce -from functools import cmp_to_key -from utility import webqtlUtil -from utility import helper_functions -from utility import corr_result_helpers + + +from utility.helper_functions import get_trait_db_obs +from utility.corr_result_helpers import normalize_values from utility.redis_tools import get_redis_conn -Redis = get_redis_conn() -THIRTY_DAYS = 60 * 60 * 24 * 30 + +from gn3.computations.pca import compute_pca +from gn3.computations.pca import process_factor_loadings_tdata +from gn3.computations.pca import generate_pca_temp_traits +from gn3.computations.pca import cache_pca_dataset +from gn3.computations.pca import generate_scree_plot_data + class CorrelationMatrix: @@ -47,11 +46,10 @@ class CorrelationMatrix: trait_db_list = [trait.strip() for trait in start_vars['trait_list'].split(',')] - helper_functions.get_trait_db_obs(self, trait_db_list) + get_trait_db_obs(self, trait_db_list) self.all_sample_list = [] self.traits = [] - self.insufficient_shared_samples = False self.do_PCA = True # ZS: Getting initial group name before verifying all traits are in the same group in the following loop this_group = self.trait_list[0][1].group.name @@ -116,7 +114,7 @@ class CorrelationMatrix: if sample in self.shared_samples_list: self.shared_samples_list.remove(sample) - this_trait_vals, target_vals, num_overlap = corr_result_helpers.normalize_values( + this_trait_vals, target_vals, num_overlap = normalize_values( this_trait_vals, target_vals) if num_overlap < self.lowest_overlap: @@ -165,16 +163,14 @@ class CorrelationMatrix: self.pca_works = "False" try: - corr_result_eigen = np.linalg.eig(np.array(self.pca_corr_results)) - corr_eigen_value, corr_eigen_vectors = sortEigenVectors( - corr_result_eigen) - if self.do_PCA == True: + if self.do_PCA: self.pca_works = "True" self.pca_trait_ids = [] - pca = self.calculate_pca( - list(range(len(self.traits))), corr_eigen_value, corr_eigen_vectors) - self.loadings_array = self.process_loadings() + pca = self.calculate_pca() + self.loadings_array = process_factor_loadings_tdata( + factor_loadings=self.loadings, traits_num=len(self.trait_list)) + else: self.pca_works = "False" except: @@ -182,71 +178,45 @@ class CorrelationMatrix: self.js_data = dict(traits=[trait.name for trait in self.traits], groups=groups, + scree_data = self.scree_data, cols=list(range(len(self.traits))), rows=list(range(len(self.traits))), samples=self.all_sample_list, sample_data=self.sample_data,) - def calculate_pca(self, cols, corr_eigen_value, corr_eigen_vectors): - base = importr('base') - stats = importr('stats') - - corr_results_to_list = ro.FloatVector( - [item for sublist in self.pca_corr_results for item in sublist]) - - m = ro.r.matrix(corr_results_to_list, nrow=len(cols)) - eigen = base.eigen(m) - pca = stats.princomp(m, cor="TRUE") - self.loadings = pca.rx('loadings') - self.scores = pca.rx('scores') - self.scale = pca.rx('scale') + def calculate_pca(self): - trait_array = zScore(self.trait_data_array) - trait_array_vectors = np.dot(corr_eigen_vectors, trait_array) + pca = compute_pca(self.pca_corr_results) - pca_traits = [] - for i, vector in enumerate(trait_array_vectors): - # ZS: Check if below check is necessary - # if corr_eigen_value[i-1] > 100.0/len(self.trait_list): - pca_traits.append((vector * -1.0).tolist()) + self.loadings = pca["components"] + self.scores = pca["scores"] + self.pca_obj = pca["pca"] this_group_name = self.trait_list[0][1].group.name - temp_dataset = data_set.create_dataset( - dataset_name="Temp", dataset_type="Temp", group_name=this_group_name) + temp_dataset = create_dataset( + dataset_name="Temp", dataset_type="Temp", + group_name=this_group_name) temp_dataset.group.get_samplelist() - for i, pca_trait in enumerate(pca_traits): - trait_id = "PCA" + str(i + 1) + "_" + temp_dataset.group.species + "_" + \ - this_group_name + "_" + datetime.datetime.now().strftime("%m%d%H%M%S") - this_vals_string = "" - position = 0 - for sample in temp_dataset.group.all_samples_ordered(): - if sample in self.shared_samples_list: - this_vals_string += str(pca_trait[position]) - this_vals_string += " " - position += 1 - else: - this_vals_string += "x " - this_vals_string = this_vals_string[:-1] - Redis.set(trait_id, this_vals_string, ex=THIRTY_DAYS) - self.pca_trait_ids.append(trait_id) + pca_temp_traits = generate_pca_temp_traits(species=temp_dataset.group.species, group=this_group_name, + traits_data=self.trait_data_array, corr_array=self.pca_corr_results, + dataset_samples=temp_dataset.group.all_samples_ordered(), + shared_samples=self.shared_samples_list, + create_time=datetime.datetime.now().strftime("%m%d%H%M%S")) - return pca + cache_pca_dataset(redis_conn=get_redis_conn( + ), exp_days=60 * 60 * 24 * 30, pca_trait_dict=pca_temp_traits) - def process_loadings(self): - loadings_array = [] - loadings_row = [] - for i in range(len(self.trait_list)): - loadings_row = [] - if len(self.trait_list) > 2: - the_range = 3 - else: - the_range = 2 - for j in range(the_range): - position = i + len(self.trait_list) * j - loadings_row.append(self.loadings[0][position]) - loadings_array.append(loadings_row) - return loadings_array + self.pca_trait_ids = list(pca_temp_traits.keys()) + + x_coord, y_coord = generate_scree_plot_data( + list(self.pca_obj.explained_variance_ratio_)) + + self.scree_data = { + "x_coord": x_coord, + "y_coord": y_coord + } + return pca def export_corr_matrix(corr_results): @@ -261,11 +231,11 @@ def export_corr_matrix(corr_results): output_file.write("\n") output_file.write("Correlation ") for i, item in enumerate(corr_results[0]): - output_file.write("Trait" + str(i + 1) + ": " + \ + output_file.write("Trait" + str(i + 1) + ": " + str(item[0].dataset.name) + "::" + str(item[0].name) + "\t") output_file.write("\n") for i, row in enumerate(corr_results): - output_file.write("Trait" + str(i + 1) + ": " + \ + output_file.write("Trait" + str(i + 1) + ": " + str(row[0][0].dataset.name) + "::" + str(row[0][0].name) + "\t") for item in row: output_file.write(str(item[1]) + "\t") @@ -275,57 +245,14 @@ def export_corr_matrix(corr_results): output_file.write("\n") output_file.write("N ") for i, item in enumerate(corr_results[0]): - output_file.write("Trait" + str(i) + ": " + \ + output_file.write("Trait" + str(i) + ": " + str(item[0].dataset.name) + "::" + str(item[0].name) + "\t") output_file.write("\n") for i, row in enumerate(corr_results): - output_file.write("Trait" + str(i) + ": " + \ + output_file.write("Trait" + str(i) + ": " + str(row[0][0].dataset.name) + "::" + str(row[0][0].name) + "\t") for item in row: output_file.write(str(item[2]) + "\t") output_file.write("\n") return corr_matrix_filename, matrix_export_path - - -def zScore(trait_data_array): - NN = len(trait_data_array[0]) - if NN < 10: - return trait_data_array - else: - i = 0 - for data in trait_data_array: - N = len(data) - S = reduce(lambda x, y: x + y, data, 0.) - SS = reduce(lambda x, y: x + y * y, data, 0.) - mean = S / N - var = SS - S * S / N - stdev = math.sqrt(var / (N - 1)) - if stdev == 0: - stdev = 1e-100 - data2 = [(x - mean) / stdev for x in data] - trait_data_array[i] = data2 - i += 1 - return trait_data_array - - -def sortEigenVectors(vector): - try: - eigenValues = vector[0].tolist() - eigenVectors = vector[1].T.tolist() - combines = [] - i = 0 - for item in eigenValues: - combines.append([eigenValues[i], eigenVectors[i]]) - i += 1 - sorted(combines, key=cmp_to_key(webqtlUtil.cmpEigenValue)) - A = [] - B = [] - for item in combines: - A.append(item[0]) - B.append(item[1]) - sum = reduce(lambda x, y: x + y, A, 0.0) - A = [x * 100.0 / sum for x in A] - return [A, B] - except: - return [] diff --git a/wqflask/wqflask/ctl/gn3_ctl_analysis.py b/wqflask/wqflask/ctl/gn3_ctl_analysis.py new file mode 100644 index 00000000..8f790597 --- /dev/null +++ b/wqflask/wqflask/ctl/gn3_ctl_analysis.py @@ -0,0 +1,132 @@ +import requests +import itertools + +from utility import genofile_parser +from utility.tools import GN3_LOCAL_URL +from utility.tools import locate + +from base.trait import create_trait +from base.trait import retrieve_sample_data +from base import data_set + + +def process_significance_data(dataset): + col_names = ["trait", "marker", "trait_2", "LOD", "dcor"] + dataset_rows = [[] for _ in range(len(dataset["trait"]))] + for col in col_names: + for (index, col_data) in enumerate(dataset[col]): + if col in ["dcor", "LOD"]: + dataset_rows[index].append(round(float(col_data), 2)) + else: + dataset_rows[index].append(col_data) + + return { + "col_names": col_names, + "data_set_rows": dataset_rows + } + + +def parse_geno_data(dataset_group_name) -> dict: + """ + Args: + dataset_group_name: string name + + @returns : dict with keys genotypes,markernames & individuals + """ + genofile_location = locate(dataset_group_name + ".geno", "genotype") + parser = genofile_parser.ConvertGenoFile(genofile_location) + parser.process_csv() + markers = [] + markernames = [] + for marker in parser.markers: + markernames.append(marker["name"]) + markers.append(marker["genotypes"]) + + return { + + "genotypes": list(itertools.chain(*markers)), + "markernames": markernames, + "individuals": parser.individuals + + + } + + +def parse_phenotype_data(trait_list, dataset, individuals): + """ + Args: + trait_list:list contains the traits + dataset: object + individuals:a list contains the individual vals + Returns: + traits_db_List:parsed list of traits + traits: list contains trait names + individuals + + """ + + traits = [] + for trait in trait_list: + if trait != "": + ts = trait.split(':') + gt = create_trait(name=ts[0], dataset_name=ts[1]) + gt = retrieve_sample_data(gt, dataset, individuals) + for ind in individuals: + if ind in list(gt.data.keys()): + traits.append(gt.data[ind].value) + else: + traits.append("-999") + + return { + "trait_db_list": trait_list, + "traits": traits, + "individuals": individuals + } + + +def parse_form_data(form_data: dict): + + trait_db_list = [trait.strip() + for trait in form_data['trait_list'].split(',')] + + form_data["trait_db_list"] = [x for x in trait_db_list if x] + form_data["nperm"] = int(form_data["nperm"]) + form_data["significance"] = float(form_data["significance"]) + form_data["strategy"] = form_data["strategy"].capitalize() + + return form_data + + +def run_ctl(requestform): + """function to make an api call + to gn3 and run ctl""" + ctl_api = f"{GN3_LOCAL_URL}/api/ctl/run_ctl" + + form_data = parse_form_data(requestform.to_dict()) + trait_db_list = form_data["trait_db_list"] + dataset = data_set.create_dataset(trait_db_list[0].split(":")[1]) + geno_data = parse_geno_data(dataset.group.name) + pheno_data = parse_phenotype_data( + trait_db_list, dataset, geno_data["individuals"]) + + try: + + response = requests.post(ctl_api, json={ + + "genoData": geno_data, + "phenoData": pheno_data, + **form_data, + + }) + if response.status_code != 200: + return {"error": response.json()} + response = response.json()["results"] + response["significance_data"] = process_significance_data( + response["significance_data"]) + + return response + + except requests.exceptions.ConnectionError: + return { + "error": "A connection error to perform computation occurred" + } diff --git a/wqflask/wqflask/database.py b/wqflask/wqflask/database.py index 11f8d287..9f659ae6 100644 --- a/wqflask/wqflask/database.py +++ b/wqflask/wqflask/database.py @@ -1,12 +1,33 @@ # Module to initialize sqlalchemy with flask +import os +import sys +from string import Template +from typing import Tuple +from urllib.parse import urlparse +import importlib + +import MySQLdb from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session, sessionmaker from sqlalchemy.ext.declarative import declarative_base -from utility.tools import SQL_URI +def read_from_pyfile(pyfile, setting): + orig_sys_path = sys.path[:] + sys.path.insert(0, os.path.dirname(pyfile)) + module = importlib.import_module(os.path.basename(pyfile).strip(".py")) + sys.path = orig_sys_path[:] + return module.__dict__.get(setting) + +def sql_uri(): + """Read the SQL_URI from the environment or settings file.""" + return os.environ.get( + "SQL_URI", read_from_pyfile( + os.environ.get( + "GN2_SETTINGS", os.path.abspath("../etc/default_settings.py")), + "SQL_URI")) -engine = create_engine(SQL_URI, encoding="latin1") +engine = create_engine(sql_uri(), encoding="latin1") db_session = scoped_session(sessionmaker(autocommit=False, autoflush=False, @@ -16,3 +37,17 @@ Base.query = db_session.query_property() # Initialise the db Base.metadata.create_all(bind=engine) + +def parse_db_url(sql_uri: str) -> Tuple: + """ + Parse SQL_URI env variable from an sql URI + e.g. 'mysql://user:pass@host_name/db_name' + """ + parsed_db = urlparse(sql_uri) + return (parsed_db.hostname, parsed_db.username, + parsed_db.password, parsed_db.path[1:]) + +def database_connection(): + """Returns a database connection""" + host, user, passwd, db_name = parse_db_url(sql_uri()) + return MySQLdb.Connect(db=db_name, user=user, passwd=passwd, host=host) diff --git a/wqflask/wqflask/do_search.py b/wqflask/wqflask/do_search.py index 99272ee3..1e245d6a 100644 --- a/wqflask/wqflask/do_search.py +++ b/wqflask/wqflask/do_search.py @@ -1,6 +1,7 @@ -import string -import requests import json +import re +import requests +import string from flask import Flask, g @@ -82,7 +83,7 @@ class MrnaAssaySearch(DoSearch): DoSearch.search_types['ProbeSet'] = "MrnaAssaySearch" base_query = """ - SELECT + SELECT DISTINCT ProbeSetFreeze.`Name`, ProbeSetFreeze.`FullName`, ProbeSet.`Name`, @@ -137,15 +138,17 @@ class MrnaAssaySearch(DoSearch): search_string = escape(self.search_term[0]) if self.search_term[0] != "*": - match_clause = """((MATCH (ProbeSet.Name, + if re.search("\w{1,2}\-\w+|\w+\-\w{1,2}", self.search_term[0]): + search_string = f'"{search_string}*"' + + match_clause = f"""((MATCH (ProbeSet.Name, ProbeSet.description, ProbeSet.symbol, alias, GenbankId, UniGeneId, Probe_Target_Description) - AGAINST ('%s' IN BOOLEAN MODE))) AND - """ % (search_string) + AGAINST ('{search_string}' IN BOOLEAN MODE))) AND """ else: match_clause = "" @@ -343,7 +346,7 @@ class GenotypeSearch(DoSearch): GenoFreeze.createtime as thistable, Geno.Name as Geno_Name, Geno.Source2 as Geno_Source2, - Geno.chr_num as Geno_chr_num, + Geno.Chr as Geno_Chr, Geno.Mb as Geno_Mb FROM GenoXRef, GenoFreeze, Geno """ @@ -609,9 +612,6 @@ class PhenotypeLrsSearch(LrsSearch, PhenotypeSearch): class CisTransLrsSearch(DoSearch): - def get_from_clause(self): - return ", Geno" - def get_where_clause(self, cis_trans): self.mb_buffer = 5 # default chromosome = None @@ -989,8 +989,6 @@ def get_aliases(symbol, species): if __name__ == "__main__": # Usually this will be used as a library, but call it from the command line for testing # And it runs the code below - - import MySQLdb import sys from base import webqtlConfig @@ -998,15 +996,11 @@ if __name__ == "__main__": from utility import webqtlUtil from db import webqtlDatabaseFunction - db_conn = MySQLdb.Connect(db=webqtlConfig.DB_NAME, - host=webqtlConfig.MYSQL_SERVER, - user=webqtlConfig.DB_USER, - passwd=webqtlConfig.DB_PASSWD) - cursor = db_conn.cursor() - - dataset_name = "HC_M2_0606_P" - dataset = create_dataset(db_conn, dataset_name) + from wqflask.database import database_connection - results = PvalueSearch(['0.005'], '<', dataset, cursor, db_conn).run() + with database_connection() as db_conn: + with db_conn.cursor() as cursor: + dataset_name = "HC_M2_0606_P" + dataset = create_dataset(db_conn, dataset_name) - db_conn.close() + results = PvalueSearch(['0.005'], '<', dataset, cursor, db_conn).run() diff --git a/wqflask/wqflask/jupyter_notebooks.py b/wqflask/wqflask/jupyter_notebooks.py index 7d76828e..a6d06af0 100644 --- a/wqflask/wqflask/jupyter_notebooks.py +++ b/wqflask/wqflask/jupyter_notebooks.py @@ -1,17 +1,31 @@ from flask import Blueprint, render_template -jupyter_notebooks = Blueprint('jupyter_notebooks', __name__) +jupyter_notebooks = Blueprint("jupyter_notebooks", __name__) + @jupyter_notebooks.route("/launcher", methods=("GET",)) def launcher(): links = ( - { - "main_url": "http://notebook.genenetwork.org/34301/notebooks/genenetwork-api-using-r.ipynb", - "notebook_name": "R notebook showing how to query the GeneNetwork API.", - "src_link_url": "https://github.com/jgarte/genenetwork-api-r-jupyter-notebook"}, - { - "main_url": "http://notebook.genenetwork.org/57675/notebooks/genenetwork.ipynb", - "notebook_name": "Querying the GeneNetwork API declaratively with python.", - "src_link_url": "https://github.com/jgarte/genenetwork-jupyter-notebook-example"}) + { + "main_url": "http://notebook.genenetwork.org/58965/notebooks/2020-05-08/solberg-rat-analysis.ipynb", + "notebook_name": "Quantitative Genetics Tools for Mapping Trait Variation to Mechanisms, Therapeutics, and Interventions - Webinar Series", + "src_link_url": "https://github.com/senresearch/quant-genetics-webinars", + }, + { + "main_url": "http://notebook.genenetwork.org/58163/notebooks/BXD%20Analysis.ipynb", + "notebook_name": "This shows how to model BXD mouse weight data using an AR(1) process.", + "src_link_url": "https://github.com/BonfaceKilz/tsaf-analysis-of-bxd-mouse-colonies", + }, + { + "main_url": "http://notebook.genenetwork.org/46649/notebooks/genenetwork.ipynb", + "notebook_name": "Querying the GeneNetwork API declaratively with python.", + "src_link_url": "https://github.com/jgarte/genenetwork-jupyter-notebook-example", + }, + { + "main_url": "http://notebook.genenetwork.org/37279/notebooks/genenetwork-api-using-r.ipynb", + "notebook_name": "R notebook showing how to query the GeneNetwork API.", + "src_link_url": "https://github.com/jgarte/genenetwork-api-r-jupyter-notebook", + }, + ) return render_template("jupyter_notebooks.html", links=links) diff --git a/wqflask/wqflask/marker_regression/rqtl_mapping.py b/wqflask/wqflask/marker_regression/rqtl_mapping.py index 65896e06..c7a3451a 100644 --- a/wqflask/wqflask/marker_regression/rqtl_mapping.py +++ b/wqflask/wqflask/marker_regression/rqtl_mapping.py @@ -1,6 +1,7 @@ import csv import hashlib import io +import json import requests import shutil from typing import Dict @@ -10,6 +11,8 @@ from typing import TextIO import numpy as np +from flask import g + from base.webqtlConfig import TMPDIR from base.trait import create_trait from utility.tools import locate, GN3_LOCAL_URL @@ -39,6 +42,10 @@ def run_rqtl(trait_name, vals, samples, dataset, pair_scan, mapping_scale, model if pair_scan: post_data["pairscan"] = True + if cofactors: + covarstruct_file = write_covarstruct_file(cofactors) + post_data["covarstruct"] = covarstruct_file + if do_control == "true" and control_marker: post_data["control"] = control_marker @@ -67,6 +74,32 @@ def get_hash_of_textio(the_file: TextIO) -> str: return hash_of_file +def write_covarstruct_file(cofactors: str) -> str: + """ + Given list of cofactors (as comma-delimited string), write + a comma-delimited file where the first column consists of cofactor names + and the second column indicates whether they're numerical or categorical + """ + datatype_query = "SELECT value FROM TraitMetadata WHERE type='trait_data_type'" + trait_datatype_json = json.loads(g.db.execute(datatype_query).fetchone()[0]) + + covar_struct_file = io.StringIO() + writer = csv.writer(covar_struct_file, delimiter="\t", quoting = csv.QUOTE_NONE) + for cofactor in cofactors.split(","): + datatype = trait_datatype_json[cofactor] if cofactor in trait_datatype_json else "numerical" + cofactor_name = cofactor.split(":")[0] + writer.writerow([cofactor_name, datatype]) + + hash_of_file = get_hash_of_textio(covar_struct_file) + file_path = TMPDIR + hash_of_file + ".csv" + + with open(file_path, "w") as fd: + covar_struct_file.seek(0) + shutil.copyfileobj(covar_struct_file, fd) + + return file_path + + def write_phenotype_file(trait_name: str, samples: List[str], vals: List, diff --git a/wqflask/wqflask/metadata_edits.py b/wqflask/wqflask/metadata_edits.py index dc738f88..30acf4d4 100644 --- a/wqflask/wqflask/metadata_edits.py +++ b/wqflask/wqflask/metadata_edits.py @@ -1,13 +1,11 @@ import datetime import json import os -import re from collections import namedtuple from itertools import groupby from typing import Dict -import MySQLdb import difflib import redis @@ -21,15 +19,18 @@ from flask import render_template from flask import request from flask import url_for +from wqflask.database import database_connection from wqflask.decorators import edit_access_required from wqflask.decorators import edit_admins_access_required from wqflask.decorators import login_required from gn3.authentication import AdminRole -from gn3.authentication import DataRole from gn3.authentication import get_highest_user_access_role -from gn3.authentication import get_user_membership -from gn3.commands import run_cmd +from gn3.csvcmp import create_dirs_if_not_exists +from gn3.csvcmp import csv_diff +from gn3.csvcmp import extract_invalid_csv_headers +from gn3.csvcmp import get_allowable_sampledata_headers +from gn3.csvcmp import remove_insignificant_edits from gn3.db import diff_from_dict from gn3.db import fetchall from gn3.db import fetchone @@ -41,10 +42,10 @@ from gn3.db.phenotypes import Probeset from gn3.db.phenotypes import Publication from gn3.db.phenotypes import PublishXRef from gn3.db.phenotypes import probeset_mapping -from gn3.db.traits import get_trait_csv_sample_data -from gn3.db.traits import update_sample_data -from gn3.db.traits import delete_sample_data -from gn3.db.traits import insert_sample_data +from gn3.db.sample_data import delete_sample_data +from gn3.db.sample_data import get_trait_csv_sample_data +from gn3.db.sample_data import insert_sample_data +from gn3.db.sample_data import update_sample_data metadata_edit = Blueprint('metadata_edit', __name__) @@ -178,50 +179,41 @@ def edit_probeset(conn, name): @edit_access_required @login_required def display_phenotype_metadata(dataset_id: str, name: str): - conn = MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")) - _d = edit_phenotype(conn=conn, name=name, dataset_id=dataset_id) - return render_template( - "edit_phenotype.html", - diff=_d.get("diff"), - publish_xref=_d.get("publish_xref"), - phenotype=_d.get("phenotype"), - publication=_d.get("publication"), - dataset_id=dataset_id, - resource_id=request.args.get("resource-id"), - version=os.environ.get("GN_VERSION"), - ) + with database_connection() as conn: + _d = edit_phenotype(conn=conn, name=name, dataset_id=dataset_id) + return render_template( + "edit_phenotype.html", + diff=_d.get("diff"), + publish_xref=_d.get("publish_xref"), + phenotype=_d.get("phenotype"), + publication=_d.get("publication"), + dataset_id=dataset_id, + resource_id=request.args.get("resource-id"), + headers=get_allowable_sampledata_headers(conn), + version=os.environ.get("GN_VERSION"), + ) @metadata_edit.route("/traits/<name>") @edit_access_required @login_required def display_probeset_metadata(name: str): - conn = MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")) - _d = edit_probeset(conn=conn, name=name) - return render_template( - "edit_probeset.html", - diff=_d.get("diff"), - probeset=_d.get("probeset"), - name=name, - resource_id=request.args.get("resource-id"), - version=os.environ.get("GN_VERSION"), - ) + with database_connection as conn: + _d = edit_probeset(conn=conn, name=name) + return render_template( + "edit_probeset.html", + diff=_d.get("diff"), + probeset=_d.get("probeset"), + name=name, + resource_id=request.args.get("resource-id"), + version=os.environ.get("GN_VERSION"), + ) @metadata_edit.route("/<dataset_id>/traits/<name>", methods=("POST",)) @edit_access_required @login_required def update_phenotype(dataset_id: str, name: str): - conn = MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")) data_ = request.form.to_dict() TMPDIR = current_app.config.get("TMPDIR") author = ((g.user_session.record.get(b"user_id") or b"").decode("utf-8") @@ -230,52 +222,68 @@ def update_phenotype(dataset_id: str, name: str): if not (file_ := request.files.get("file")): flash("No sample-data has been uploaded", "warning") else: - if not os.path.exists(SAMPLE_DATADIR := os.path.join(TMPDIR, "sample-data")): - os.makedirs(SAMPLE_DATADIR) - if not os.path.exists(os.path.join(SAMPLE_DATADIR, - "diffs")): - os.makedirs(os.path.join(SAMPLE_DATADIR, - "diffs")) - if not os.path.exists(os.path.join(SAMPLE_DATADIR, - "updated")): - os.makedirs(os.path.join(SAMPLE_DATADIR, - "updated")) + create_dirs_if_not_exists([ + SAMPLE_DATADIR := os.path.join(TMPDIR, "sample-data"), + DIFF_DATADIR := os.path.join(SAMPLE_DATADIR, "diffs"), + UPLOAD_DATADIR := os.path.join(SAMPLE_DATADIR, "updated") + ]) + current_time = str(datetime.datetime.now().isoformat()) _file_name = (f"{author}.{request.args.get('resource-id')}." f"{current_time}") - new_file_name = (os.path.join(TMPDIR, - f"sample-data/updated/{_file_name}.csv")) - uploaded_file_name = (os.path.join( - TMPDIR, "sample-data/updated/", - f"{_file_name}.csv.uploaded")) - file_.save(new_file_name) - with open(uploaded_file_name, "w") as f_: - f_.write(get_trait_csv_sample_data( - conn=conn, - trait_name=str(name), - phenotype_id=str(phenotype_id))) - r = run_cmd(cmd=("csvdiff " - f"'{uploaded_file_name}' '{new_file_name}' " - "--format json")) - + diff_data = {} + with database_connection() as conn: + diff_data = remove_insignificant_edits( + diff_data=csv_diff( + base_csv=(base_csv := get_trait_csv_sample_data( + conn=conn, + trait_name=str(name), + phenotype_id=str(phenotype_id))), + delta_csv=(delta_csv := file_.read().decode()), + tmp_dir=TMPDIR), + epsilon=0.001) + headers = get_allowable_sampledata_headers(conn) + invalid_headers = extract_invalid_csv_headers( + allowed_headers=headers, + csv_text=delta_csv) + if invalid_headers: + flash("You have invalid headers: " + f"""{', '.join(invalid_headers)}. Valid headers """ + f"""are: {', '.join(headers)}""", + "warning") + return redirect( + f"/datasets/{dataset_id}/traits/{name}" + f"?resource-id={request.args.get('resource-id')}") # Edge case where the csv file has not been edited! - if not any(json.loads(r.get("output")).values()): - flash(f"You have not modified the csv file you downloaded!", + if not any(diff_data.values()): + flash("You have not modified the csv file you downloaded!", "warning") return redirect(f"/datasets/{dataset_id}/traits/{name}" f"?resource-id={request.args.get('resource-id')}") - diff_output = (f"{TMPDIR}/sample-data/diffs/" - f"{_file_name}.json") - with open(diff_output, "w") as f: - dict_ = json.loads(r.get("output")) - dict_.update({ + + with open(os.path.join( + UPLOAD_DATADIR, + f"{_file_name}.csv"), "w") as f_: + f_.write(base_csv) + with open(os.path.join( + UPLOAD_DATADIR, + f"{_file_name}.delta.csv"), "w") as f_: + f_.write(delta_csv) + + with open(os.path.join(DIFF_DATADIR, + f"{_file_name}.json"), "w") as f: + diff_data.update({ "trait_name": str(name), "phenotype_id": str(phenotype_id), + "dataset_id": name, + "resource_id": request.args.get('resource-id'), "author": author, - "timestamp": datetime.datetime.now().strftime( - "%Y-%m-%d %H:%M:%S") + "timestamp": (datetime + .datetime + .now() + .strftime("%Y-%m-%d %H:%M:%S")), }) - f.write(json.dumps(dict_)) + f.write(json.dumps(diff_data)) flash("Sample-data has been successfully uploaded", "success") # Run updates: phenotype_ = { @@ -290,10 +298,12 @@ def update_phenotype(dataset_id: str, name: str): "owner": data_.get("owner"), "authorized_users": data_.get("authorized-users"), } - updated_phenotypes = update( - conn, "Phenotype", - data=Phenotype(**phenotype_), - where=Phenotype(id_=data_.get("phenotype-id"))) + updated_phenotypes = "" + with database_connection() as conn: + updated_phenotypes = update( + conn, "Phenotype", + data=Phenotype(**phenotype_), + where=Phenotype(id_=data_.get("phenotype-id"))) diff_data = {} if updated_phenotypes: diff_data.update({"Phenotype": diff_from_dict(old={ @@ -309,11 +319,13 @@ def update_phenotype(dataset_id: str, name: str): "month": data_.get("month"), "year": data_.get("year") } - updated_publications = update( - conn, "Publication", - data=Publication(**publication_), - where=Publication(id_=data_.get("pubmed-id", - data_.get("old_id_")))) + updated_publications = "" + with database_connection() as conn: + updated_publications = update( + conn, "Publication", + data=Publication(**publication_), + where=Publication(id_=data_.get("pubmed-id", + data_.get("old_id_")))) if updated_publications: diff_data.update({"Publication": diff_from_dict(old={ k: data_.get(f"old_{k}") for k, v in publication_.items() @@ -329,11 +341,12 @@ def update_phenotype(dataset_id: str, name: str): .now() .strftime("%Y-%m-%d %H:%M:%S")), }) - insert(conn, - table="metadata_audit", - data=MetadataAudit(dataset_id=name, - editor=author, - json_data=json.dumps(diff_data))) + with database_connection() as conn: + insert(conn, + table="metadata_audit", + data=MetadataAudit(dataset_id=name, + editor=author, + json_data=json.dumps(diff_data))) flash(f"Diff-data: \n{diff_data}\nhas been uploaded", "success") return redirect(f"/datasets/{dataset_id}/traits/{name}" f"?resource-id={request.args.get('resource-id')}") @@ -343,76 +356,71 @@ def update_phenotype(dataset_id: str, name: str): @edit_access_required @login_required def update_probeset(name: str): - conn = MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")) - data_ = request.form.to_dict() - probeset_ = { - "id_": data_.get("id"), - "symbol": data_.get("symbol"), - "description": data_.get("description"), - "probe_target_description": data_.get("probe_target_description"), - "chr_": data_.get("chr"), - "mb": data_.get("mb"), - "alias": data_.get("alias"), - "geneid": data_.get("geneid"), - "homologeneid": data_.get("homologeneid"), - "unigeneid": data_.get("unigeneid"), - "omim": data_.get("OMIM"), - "refseq_transcriptid": data_.get("refseq_transcriptid"), - "blatseq": data_.get("blatseq"), - "targetseq": data_.get("targetseq"), - "strand_probe": data_.get("Strand_Probe"), - "probe_set_target_region": data_.get("probe_set_target_region"), - "probe_set_specificity": data_.get("probe_set_specificity"), - "probe_set_blat_score": data_.get("probe_set_blat_score"), - "probe_set_blat_mb_start": data_.get("probe_set_blat_mb_start"), - "probe_set_blat_mb_end": data_.get("probe_set_blat_mb_end"), - "probe_set_strand": data_.get("probe_set_strand"), - "probe_set_note_by_rw": data_.get("probe_set_note_by_rw"), - "flag": data_.get("flag") - } - diff_data = {} - author = ((g.user_session.record.get(b"user_id") or b"").decode("utf-8") - or g.user_session.record.get("user_id") or "") - if (updated_probeset := update( - conn, "ProbeSet", - data=Probeset(**probeset_), - where=Probeset(id_=data_.get("id")))): - diff_data.update({"Probeset": diff_from_dict(old={ - k: data_.get(f"old_{k}") for k, v in probeset_.items() - if v is not None}, new=probeset_)}) - if diff_data: - diff_data.update({"probeset_name": data_.get("probeset_name")}) - diff_data.update({"author": author}) - diff_data.update({"resource_id": request.args.get('resource-id')}) - diff_data.update({"timestamp": datetime.datetime.now().strftime( - "%Y-%m-%d %H:%M:%S")}) - insert(conn, - table="metadata_audit", - data=MetadataAudit(dataset_id=data_.get("id"), - editor=author, - json_data=json.dumps(diff_data))) - return redirect(f"/datasets/traits/{name}" - f"?resource-id={request.args.get('resource-id')}") + with database_connection as conn: + data_ = request.form.to_dict() + probeset_ = { + "id_": data_.get("id"), + "symbol": data_.get("symbol"), + "description": data_.get("description"), + "probe_target_description": data_.get("probe_target_description"), + "chr_": data_.get("chr"), + "mb": data_.get("mb"), + "alias": data_.get("alias"), + "geneid": data_.get("geneid"), + "homologeneid": data_.get("homologeneid"), + "unigeneid": data_.get("unigeneid"), + "omim": data_.get("OMIM"), + "refseq_transcriptid": data_.get("refseq_transcriptid"), + "blatseq": data_.get("blatseq"), + "targetseq": data_.get("targetseq"), + "strand_probe": data_.get("Strand_Probe"), + "probe_set_target_region": data_.get("probe_set_target_region"), + "probe_set_specificity": data_.get("probe_set_specificity"), + "probe_set_blat_score": data_.get("probe_set_blat_score"), + "probe_set_blat_mb_start": data_.get("probe_set_blat_mb_start"), + "probe_set_blat_mb_end": data_.get("probe_set_blat_mb_end"), + "probe_set_strand": data_.get("probe_set_strand"), + "probe_set_note_by_rw": data_.get("probe_set_note_by_rw"), + "flag": data_.get("flag") + } + diff_data = {} + author = ((g.user_session.record.get(b"user_id") + or b"").decode("utf-8") + or g.user_session.record.get("user_id") or "") + if update(conn, "ProbeSet", + data=Probeset(**probeset_), + where=Probeset(id_=data_.get("id"))): + diff_data.update({"Probeset": diff_from_dict(old={ + k: data_.get(f"old_{k}") for k, v in probeset_.items() + if v is not None}, new=probeset_)}) + if diff_data: + diff_data.update({"probeset_name": data_.get("probeset_name")}) + diff_data.update({"author": author}) + diff_data.update({"resource_id": request.args.get('resource-id')}) + diff_data.update({"timestamp": datetime.datetime.now().strftime( + "%Y-%m-%d %H:%M:%S")}) + insert(conn, + table="metadata_audit", + data=MetadataAudit(dataset_id=data_.get("id"), + editor=author, + json_data=json.dumps(diff_data))) + return redirect(f"/datasets/traits/{name}" + f"?resource-id={request.args.get('resource-id')}") @metadata_edit.route("/<dataset_id>/traits/<phenotype_id>/csv") @login_required -def get_sample_data_as_csv(dataset_id: str, phenotype_id: int): - return Response( - get_trait_csv_sample_data( - conn=MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")), - trait_name=str(dataset_id), - phenotype_id=str(phenotype_id)), - mimetype="text/csv", - headers={"Content-disposition": - "attachment; filename=myplot.csv"} - ) +def get_sample_data_as_csv(dataset_id: str, phenotype_id: int): + with database_connection() as conn: + return Response( + get_trait_csv_sample_data( + conn=conn, + trait_name=str(dataset_id), + phenotype_id=str(phenotype_id)), + mimetype="text/csv", + headers={"Content-disposition": + f"attachment; filename=sample-data-{dataset_id}.csv"} + ) @metadata_edit.route("/diffs") @@ -470,88 +478,77 @@ def reject_data(resource_id: str, file_name: str): @metadata_edit.route("<resource_id>/diffs/<file_name>/approve") @edit_admins_access_required @login_required -def approve_data(resource_id:str, file_name: str): +def approve_data(resource_id: str, file_name: str): sample_data = {file_name: str} - conn = MySQLdb.Connect(db=current_app.config.get("DB_NAME"), - user=current_app.config.get("DB_USER"), - passwd=current_app.config.get("DB_PASS"), - host=current_app.config.get("DB_HOST")) TMPDIR = current_app.config.get("TMPDIR") with open(os.path.join(f"{TMPDIR}/sample-data/diffs", file_name), 'r') as myfile: sample_data = json.load(myfile) - for modification in ( - modifications := [d for d in sample_data.get("Modifications")]): - if modification.get("Current"): - (strain_name, - value, se, count) = modification.get("Current").split(",") - update_sample_data( - conn=conn, - trait_name=sample_data.get("trait_name"), - strain_name=strain_name, - phenotype_id=int(sample_data.get("phenotype_id")), - value=value, - error=se, - count=count) + with database_connection() as conn: + for modification in ( + modifications := [d for d in + sample_data.get("Modifications")]): + if modification.get("Current"): + update_sample_data( + conn=conn, + trait_name=sample_data.get("trait_name"), + original_data=modification.get("Original"), + updated_data=modification.get("Current"), + csv_header=sample_data.get("Columns", + "Strain Name,Value,SE,Count"), + phenotype_id=int(sample_data.get("phenotype_id"))) n_deletions = 0 - for deletion in (deletions := [d for d in sample_data.get("Deletions")]): - strain_name, _, _, _ = deletion.split(",") - __deletions, _, _ = delete_sample_data( - conn=conn, - trait_name=sample_data.get("trait_name"), - strain_name=strain_name, - phenotype_id=int(sample_data.get("phenotype_id"))) - if __deletions: - n_deletions += 1 - # Remove any data that already exists from sample_data deletes - else: - sample_data.get("Deletions").remove(deletion) + with database_connection() as conn: + for data in [d for d in sample_data.get("Deletions")]: + __deletions = delete_sample_data( + conn=conn, + trait_name=sample_data.get("trait_name"), + data=data, + csv_header=sample_data.get("Columns", + "Strain Name,Value,SE,Count"), + phenotype_id=int(sample_data.get("phenotype_id"))) + if __deletions: + n_deletions += 1 + # Remove any data that already exists from sample_data deletes + else: + sample_data.get("Deletions").remove(data) n_insertions = 0 - for insertion in ( - insertions := [d for d in sample_data.get("Additions")]): - (strain_name, - value, se, count) = insertion.split(",") - __insertions, _, _ = insert_sample_data( - conn=conn, - trait_name=sample_data.get("trait_name"), - strain_name=strain_name, - phenotype_id=int(sample_data.get("phenotype_id")), - value=value, - error=se, - count=count) - if __insertions: - n_insertions += 1 - # Remove any data that already exists from sample_data inserts - else: - sample_data.get("Additions").remove(insertion) + with database_connection() as conn: + for data in [d for d in sample_data.get("Additions")]: + if insert_sample_data( + conn=conn, + trait_name=sample_data.get("trait_name"), + data=data, + csv_header=sample_data.get("Columns", + "Strain Name,Value,SE,Count"), + phenotype_id=int(sample_data.get("phenotype_id"))): + n_insertions += 1 if any([sample_data.get("Additions"), sample_data.get("Modifications"), sample_data.get("Deletions")]): - insert(conn, - table="metadata_audit", - data=MetadataAudit( - dataset_id=sample_data.get("trait_name"), - editor=sample_data.get("author"), - json_data=json.dumps(sample_data))) + with database_connection() as conn: + insert(conn, + table="metadata_audit", + data=MetadataAudit( + dataset_id=sample_data.get("trait_name"), + editor=sample_data.get("author"), + json_data=json.dumps(sample_data))) # Once data is approved, rename it! os.rename(os.path.join(f"{TMPDIR}/sample-data/diffs", file_name), os.path.join(f"{TMPDIR}/sample-data/diffs", f"{file_name}.approved")) - message = "" if n_deletions: flash(f"# Deletions: {n_deletions}", "success") if n_insertions: - flash("# Additions: {len(modifications)", "success") + flash(f"# Additions: {len(modifications)}", "success") if len(modifications): - flash("# Modifications: {len(modifications)}", "success") + flash(f"# Modifications: {len(modifications)}", "success") else: # Edge case where you need to automatically reject the file os.rename(os.path.join(f"{TMPDIR}/sample-data/diffs", file_name), os.path.join(f"{TMPDIR}/sample-data/diffs", f"{file_name}.rejected")) flash(("Automatically rejecting this file since no " "changes could be applied."), "warning") - return redirect(url_for('metadata_edit.list_diffs')) - diff --git a/wqflask/wqflask/parser.py b/wqflask/wqflask/parser.py index bd1c4407..7a808ac9 100644 --- a/wqflask/wqflask/parser.py +++ b/wqflask/wqflask/parser.py @@ -33,7 +33,7 @@ def parse(pstring): pstring = re.split(r"""(?:(\w+\s*=\s*[\('"\[][^)'"]*[\)\]'"]) | # LRS=(1 2 3), cisLRS=[4 5 6], etc (\w+\s*[=:\>\<][\w\*]+) | # wiki=bar, GO:foobar, etc (".*?") | ('.*?') | # terms in quotes, i.e. "brain weight" - ([\w\*\?]+)) # shh, brain, etc """, pstring, + ([\w\*\?\-]+)) # shh, brain, etc """, pstring, flags=re.VERBOSE) pstring = [item.strip() for item in pstring if item and item.strip()] diff --git a/wqflask/wqflask/partial_correlations_views.py b/wqflask/wqflask/partial_correlations_views.py new file mode 100644 index 00000000..659b49e9 --- /dev/null +++ b/wqflask/wqflask/partial_correlations_views.py @@ -0,0 +1,285 @@ +import json +import math +import requests +from functools import reduce +from typing import Union, Tuple + +from flask import ( + flash, + request, + url_for, + redirect, + current_app, + render_template) + +from wqflask import app +from utility.tools import GN_SERVER_URL +from wqflask.database import database_connection +from gn3.db.partial_correlations import traits_info + +def publish_target_databases(conn, groups, threshold): + query = ( + "SELECT PublishFreeze.FullName,PublishFreeze.Name " + "FROM PublishFreeze, InbredSet " + "WHERE PublishFreeze.InbredSetId = InbredSet.Id " + f"AND InbredSet.Name IN ({', '.join(['%s'] * len(groups))}) " + "AND PublishFreeze.public > %s") + with conn.cursor() as cursor: + cursor.execute(query, tuple(groups) + (threshold,)) + res = cursor.fetchall() + if res: + return tuple( + dict(zip(("description", "value"), row)) for row in res) + + return tuple() + +def geno_target_databases(conn, groups, threshold): + query = ( + "SELECT GenoFreeze.FullName,GenoFreeze.Name " + "FROM GenoFreeze, InbredSet " + "WHERE GenoFreeze.InbredSetId = InbredSet.Id " + f"AND InbredSet.Name IN ({', '.join(['%s'] * len(groups))}) " + "AND GenoFreeze.public > %s") + with conn.cursor() as cursor: + cursor.execute(query, tuple(groups) + (threshold,)) + res = cursor.fetchall() + if res: + return tuple( + dict(zip(("description", "value"), row)) for row in res) + + return tuple() + +def probeset_target_databases(conn, groups, threshold): + query1 = "SELECT Id, Name FROM Tissue order by Name" + with conn.cursor() as cursor: + cursor.execute(query1) + tissue_res = cursor.fetchall() + if tissue_res: + tissue_ids = tuple(row[0] for row in tissue_res) + groups_clauses = ["InbredSet.Name like %s"] * len(groups) + query2 = ( + "SELECT ProbeFreeze.TissueId, ProbeSetFreeze.FullName, " + "ProbeSetFreeze.Name " + "FROM ProbeSetFreeze, ProbeFreeze, InbredSet " + "WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id " + "AND ProbeFreeze.TissueId IN " + f"({', '.join(['%s'] * len(tissue_ids))}) " + "AND ProbeSetFreeze.public > %s " + "AND ProbeFreeze.InbredSetId = InbredSet.Id " + f"AND ({' OR '.join(groups_clauses)}) " + "ORDER BY ProbeSetFreeze.CreateTime desc, ProbeSetFreeze.AvgId") + cursor.execute(query2, tissue_ids + (threshold,) + tuple(groups)) + db_res = cursor.fetchall() + if db_res: + databases = tuple( + dict(zip(("tissue_id", "description", "value"), row)) + for row in db_res) + return tuple( + {tissue_name: tuple( + { + "value": item["value"], + "description": item["description"] + } for item in databases + if item["tissue_id"] == tissue_id)} + for tissue_id, tissue_name in tissue_res) + + return tuple() + +def target_databases(conn, traits, threshold): + """ + Retrieves the names of possible target databases from the database. + """ + trait_info = traits_info( + conn, threshold, + tuple(f"{trait['dataset']}::{trait['trait_name']}" for trait in traits)) + groups = tuple(set(row["db"]["group"] for row in trait_info)) + return ( + publish_target_databases(conn, groups, threshold) + + geno_target_databases(conn, groups, threshold) + + probeset_target_databases(conn, groups, threshold)) + +def primary_error(args): + if len(args["primary_trait"]) == 0 or len(args["primary_trait"]) > 1: + return { + **args, + "errors": (args.get("errors", tuple()) + + ("You must provide one, and only one primary trait",))} + return args + +def controls_error(args): + if len(args["control_traits"]) == 0 or len(args["control_traits"]) > 3: + return { + **args, + "errors": ( + args.get("errors", tuple()) + + (("You must provide at least one control trait, and a maximum " + "of three control traits"),))} + return args + +def target_db_error(args): + if not args["target_db"]: + return { + **args, + "errors": ( + args.get("errors", tuple()) + + ("The target database must be provided",))} + return args + +def method_error(args): + methods = ( + "genetic correlation, pearson's r", + "genetic correlation, spearman's rho", + "sgo literature correlation", + "tissue correlation, pearson's r", + "tissue correlation, spearman's rho") + if not args["method"] or args["method"].lower() not in methods: + return { + **args, + "errors": ( + args.get("errors", tuple()) + + ("Invalid correlation method provided",))} + return args + +def criteria_error(args): + try: + int(args.get("criteria", "invalid")) + return args + except ValueError: + return { + **args, + "errors": ( + args.get("errors", tuple()) + + ("Invalid return number provided",))} + +def errors(args): + return criteria_error(method_error(target_db_error(controls_error( + primary_error(args))))) + +def __classify_args(acc, item): + if item[1].startswith("primary_"): + return { + **acc, + "primary_trait": (acc.get("primary_trait", tuple()) + (item,))} + if item[1].startswith("controls_"): + return {**acc, "control_traits": (acc.get("control_traits", tuple()) + (item,))} + if item[0] == "target_db": + return {**acc, "target_db": item[1]} + if item[0] == "method": + return {**acc, "method": item[1]} + if item[0] == "criteria": + return {**acc, "criteria": item[1]} + return acc + +def __build_args(raw_form, traits): + args = reduce(__classify_args, raw_form.items(), {}) + return { + **args, + "primary_trait": [ + item for item in traits if item["trait_name"] in + (name[1][8:] for name in args["primary_trait"])], + "control_traits": [ + item for item in traits if item["trait_name"] in + (name[1][9:] for name in args["control_traits"])] + } + +def parse_trait(trait_str): + return dict(zip( + ("trait_name", "dataset", "description", "symbol", "location", "mean", + "lrs", "lrs_location"), + trait_str.strip().split("|||"))) + +def response_error_message(response): + error_messages = { + 404: ("We could not connect to the API server at this time. " + "Try again later."), + 500: ("The API server experienced a problem. We will be working on a " + "fix. Please try again later.") + } + return error_messages.get( + response.status_code, + "General API server error!!") + +def render_error(error_message): + return render_template( + "partial_correlations/pcorrs_error.html", + message = error_message) + +def handle_200_response(response): + if response["status"] == "success": + return redirect( + url_for( + "poll_partial_correlation_results", + command_id=response["results"]), + code=303) + return render_error(response["results"]) + +def handle_response(response): + if response.status_code != 200: + return render_template( + "partial_correlations/pcorrs_error.html", + message = response_error_message(response)) + return handle_200_response(response.json()) + +@app.route("/partial_correlations", methods=["POST"]) +def partial_correlations(): + form = request.form + traits = tuple( + parse_trait(trait) for trait in + form.get("trait_list").split(";;;")) + + if form.get("submit") == "Run Partial Correlations": + args = errors(__build_args(form, traits)) + if len(args.get("errors", [])) == 0: + post_data = { + **args, + "primary_trait": args["primary_trait"][0] + } + return handle_response(requests.post( + url=f"{GN_SERVER_URL}api/correlation/partial", + json=json.dumps(post_data))) + + for error in args["errors"]: + flash(error, "alert-danger") + + with database_connection() as conn: + target_dbs = target_databases(conn, traits, threshold=0) + return render_template( + "partial_correlations/pcorrs_select_operations.html", + trait_list_str=form.get("trait_list"), + traits=traits, + target_dbs=target_dbs) + +def process_pcorrs_command_output(result): + if result["status"] == "success": + def __format_number(num): + if num is None or math.isnan(num): + return "" + if abs(num) <= 1.04E-4: + return f"{num:.2e}" + return f"{num:.5f}" + + return render_template( + "partial_correlations/pcorrs_results_presentation.html", + primary=result["results"]["primary_trait"], + controls=result["results"]["control_traits"], + correlations=result["results"]["correlations"], + dataset_type=result["results"]["dataset_type"], + method=result["results"]["method"], + format_number=__format_number) + if result["status"] == "error": + return render_error( + "The partial correlations computation failed with an error") + +@app.route("/partial_correlations/<command_id>", methods=["GET"]) +def poll_partial_correlation_results(command_id): + response = requests.get( + url=f"{GN_SERVER_URL}api/async_commands/state/{command_id}") + if response.status_code == 200: + data = response.json() + if data["status"] == "error": + return render_error(response["result"]) + if data["status"] == "success": + return process_pcorrs_command_output(json.loads(data["result"])) + return render_template( + "partial_correlations/pcorrs_poll_results.html", + command_id = command_id) diff --git a/wqflask/wqflask/search_results.py b/wqflask/wqflask/search_results.py index cf2905c9..858ca56d 100644 --- a/wqflask/wqflask/search_results.py +++ b/wqflask/wqflask/search_results.py @@ -148,7 +148,7 @@ class SearchResultPage: trait_dict['name'] = trait_dict['display_name'] = str(result[0]) trait_dict['hmac'] = hmac.data_hmac('{}:{}'.format(trait_dict['name'], trait_dict['dataset'])) permissions = check_resource_availability(self.dataset, trait_dict['display_name']) - if "view" not in permissions['data']: + if not any(x in permissions['data'] for x in ["view", "edit"]): continue if result[10]: @@ -203,8 +203,8 @@ class SearchResultPage: for i, trait in enumerate(trait_list): for key in trait.keys(): if key == "authors": - authors_string = ",".join(str(trait[key]).split(",")[:6]) + ", et al." - self.max_widths[key] = max(len(authors_string), self.max_widths[key]) if key in self.max_widths else len(str(trait[key])) + authors_string = ",".join(str(trait[key]).split(",")[:2]) + ", et al." + self.max_widths[key] = max(len(authors_string), self.max_widths[key]) if key in self.max_widths else len(str(authors_string)) else: self.max_widths[key] = max(len(str(trait[key])), self.max_widths[key]) if key in self.max_widths else len(str(trait[key])) @@ -360,7 +360,8 @@ def get_aliases(symbol_list, species): filtered_aliases = [] response = requests.get( - GN2_BASE_URL + "/gn3/gene/aliases2/" + symbols_string) + GN2_BASE_URL + "gn3/gene/aliases/" + symbols_string) + if response: alias_lists = json.loads(response.content) seen = set() diff --git a/wqflask/wqflask/snp_browser/snp_browser.py b/wqflask/wqflask/snp_browser/snp_browser.py index c4d0e135..43bb55b5 100644 --- a/wqflask/wqflask/snp_browser/snp_browser.py +++ b/wqflask/wqflask/snp_browser/snp_browser.py @@ -3,12 +3,11 @@ from flask import Flask, g, url_for import string from PIL import (Image) -from utility.logger import getLogger -logger = getLogger(__name__) - from base import species from base import webqtlConfig +from wqflask.database import database_connection + class SnpBrowser: @@ -660,32 +659,27 @@ class SnpBrowser: x_scale = plot_width / (self.end_mb - self.start_mb) # draw clickable image map at some point - n_click = 80.0 click_step = plot_width / n_click click_mb_step = (self.end_mb - self.start_mb) / n_click - # for i in range(n_click): - # href = url_for('snp_browser', first_run="false", chosen_strains_mouse=self.chosen_strains_mouse, chosen_strains_rat=self.chosen_strains_rat, variant=self.variant_type, species=self.species_name, gene_name=self.gene_name, chr=self.chr, start_mb=self.start_mb, end_mb=self.end_mb, limit_strains=self.limit_strains, domain=self.domain, function=self.function, criteria=self.criteria, score=self.score, diff_alleles=self.diff_alleles) - def get_browser_sample_lists(species_id=1): strain_lists = {} mouse_strain_list = [] - query = "SHOW COLUMNS FROM SnpPattern;" - results = g.db.execute(query).fetchall() - for result in results[1:]: - mouse_strain_list.append(result[0]) - rat_strain_list = [] - query = "SHOW COLUMNS FROM RatSnpPattern;" - results = g.db.execute(query).fetchall() - for result in results[2:]: - rat_strain_list.append(result[0]) - - strain_lists['mouse'] = mouse_strain_list - strain_lists['rat'] = rat_strain_list - + with database_connection() as conn: + with conn.cursor() as cursor: + cursor.execute("SHOW COLUMNS FROM SnpPattern") + _mouse_snp_pattern = cursor.fetchall() + cursor.execute("SHOW COLUMNS FROM RatSnpPattern") + _rats_snp_pattern = cursor.fetchall() + for result in _mouse_snp_pattern[1:]: + mouse_strain_list.append(result[0]) + for result in _rats_snp_pattern[2:]: + rat_strain_list.append(result[0]) + strain_lists['mouse'] = mouse_strain_list + strain_lists['rat'] = rat_strain_list return strain_lists @@ -891,64 +885,51 @@ def get_effect_info(effect_list): def get_gene_id(species_id, gene_name): - query = """ - SELECT - geneId - FROM - GeneList - WHERE - SpeciesId = %s AND geneSymbol = '%s' - """ % (species_id, gene_name) - - result = g.db.execute(query).fetchone() - - if len(result) > 0: - return result - else: - return "" + query = ("SELECT geneId FROM GeneList WHERE " + "SpeciesId = %s AND geneSymbol = %s") + + with database_connection() as conn: + with conn.cursor() as cursor: + cursor.execute(query, (species_id, gene_name)) + if (result := cursor.fetchone()): + return result[0] + return "" def get_gene_id_name_dict(species_id, gene_name_list): gene_id_name_dict = {} if len(gene_name_list) == 0: return "" - gene_name_str_list = ["'" + gene_name + \ - "'" for gene_name in gene_name_list] - gene_name_str = ",".join(gene_name_str_list) - - query = """ - SELECT - geneId, geneSymbol - FROM - GeneList - WHERE - SpeciesId = %s AND geneSymbol in (%s) - """ % (species_id, gene_name_str) - - results = g.db.execute(query).fetchall() - - if len(results) > 0: - for item in results: - gene_id_name_dict[item[1]] = item[0] - + query = ("SELECT geneId, geneSymbol FROM " + "GeneList WHERE SpeciesId = %s AND " + f"geneSymbol in ({', '.join(['%s'] * len(gene_name_list))})") + with database_connection() as conn: + with conn.cursor() as cursor: + cursor.execute(query, (species_id, *gene_name_list)) + results = cursor.fetchall() + if results: + for item in results: + gene_id_name_dict[item[1]] = item[0] return gene_id_name_dict -def check_if_in_gene(species_id, chr, mb): - if species_id != 0: # ZS: Check if this is necessary - query = """SELECT geneId, geneSymbol - FROM GeneList - WHERE SpeciesId = {0} AND chromosome = '{1}' AND - (txStart < {2} AND txEnd > {2}); """.format(species_id, chr, mb) - else: - query = """SELECT geneId,geneSymbol - FROM GeneList - WHERE chromosome = '{0}' AND - (txStart < {1} AND txEnd > {1}); """.format(chr, mb) - - result = g.db.execute(query).fetchone() - - if result: - return [result[0], result[1]] - else: - return "" +def check_if_in_gene(species_id, chr_, mb): + with database_connection() as conn: + with conn.cursor() as cursor: + if species_id != 0: # ZS: Check if this is necessary + cursor.execute( + "SELECT geneId, geneSymbol " + "FROM GeneList WHERE " + "SpeciesId = %s AND chromosome = %s " + "AND (txStart < %s AND txEnd > %s)", + (species_id, chr_, mb, mb)) + else: + cursor.execute( + "SELECT geneId,geneSymbol " + "FROM GeneList WHERE " + "chromosome = %s AND " + "(txStart < %s AND txEnd > %s)", + (chr_, mb, mb)) + if (result := cursor.fetchone()): + return [result[0], result[1]] + return "" diff --git a/wqflask/wqflask/static/new/css/partial_correlations.css b/wqflask/wqflask/static/new/css/partial_correlations.css new file mode 100644 index 00000000..84a0877f --- /dev/null +++ b/wqflask/wqflask/static/new/css/partial_correlations.css @@ -0,0 +1,109 @@ +#partial-correlations-form { + width: 100%; + display: grid; + grid-column-gap: 1em; +} + +#main-form { + grid-column-start: 1; + grid-column-end: 2; + text-align: left; +} + +#form-display-area { + grid-column-start: 2; + grid-column-end: 3; +} + +#part-corr-success { + grid-column-start: 1; + grid-column-end: 3; +} + +td, th { + border: 1px solid; + text-align: left; + padding: 0.2em 0.5em 0.2em 0.7em; +} + +tr:nth-of-type(2n) { + background: #F9F9F9; +} + +.with-trait { + margin-left: 0.7em; + position: relative; + display: grid; + width: 100%; + grid-column-gap: 1em; + grid-template-columns: 1em 1fr; + text-align: left; +} + +.with-trait:nth-of-type(2n) { + background: #E5E5FF; +} + +.with-trait .selector-element { + grid-column: 1 / 2; + grid-row: 1 / 1; +} + +.with-trait:first-of-type { + padding-top: 2.5em; +} + +.with-trait:first-of-type label *:before{ + position: absolute; + top: 0px; + + text-transform: capitalize; + font-weight: bolder; + content: attr(data-title); + background: #336699; /*#FFCCCC;*/ + color: #FFFFFF; + padding: 0.5em; +} + +.with-trait .label-element { + display: grid; + grid-column-gap: 0.5em; + grid-template-columns: 4fr 2fr 2fr 9fr 2fr 1fr 2fr; + grid-column: 2 / 2; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-dataset { + grid-column: 1; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-name { + grid-column: 2; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-symbol { + grid-column: 3; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-description { + grid-column: 4; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-location { + grid-column: 5; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-mean-expr { + grid-column: 6; + grid-row: 1 / 1; +} + +.with-trait .label-element .trait-max-lrs { + grid-column: 7; + grid-row: 1 / 1; +} diff --git a/wqflask/wqflask/static/new/javascript/partial_correlations.js b/wqflask/wqflask/static/new/javascript/partial_correlations.js new file mode 100644 index 00000000..5de1204c --- /dev/null +++ b/wqflask/wqflask/static/new/javascript/partial_correlations.js @@ -0,0 +1,26 @@ +function selected_traits() { + traits = $("#trait_table input:checked").map(function() { + return $(this).attr("data-trait-info"); + }).get(); + if (traits.length == 0){ + num_traits = $("#trait_table input").length + if (num_traits <= 100){ + traits = $("#trait_table input").map(function() { + return $(this).attr("data-trait-info"); + }).get(); + } + } + return traits +} + +$("#partial-correlations").on("click", function() { + // Submit the form to the `partial_correlations` endpoint + url = $(this).data("url") + traits = selected_traits(); + $("#trait_list").val(traits.reduce(function(acc, str) { + return acc.concat(";;;".concat(str)); + })); + $("input[name=tool_used]").val("Partial Correlation") + $("input[name=form_url]").val(url) + return submit_special(url) +}) diff --git a/wqflask/wqflask/static/new/javascript/search_results.js b/wqflask/wqflask/static/new/javascript/search_results.js index 48b9b7be..ff2452af 100644 --- a/wqflask/wqflask/static/new/javascript/search_results.js +++ b/wqflask/wqflask/static/new/javascript/search_results.js @@ -25,10 +25,9 @@ change_buttons = function(check_node = 0) { }; $(function() { - var add, checked_traits, deselect_all, invert, remove, removed_traits, select_all; + let selectAll, deselectAll, invert; - checked_traits = null; - select_all = function() { + selectAll = function() { table_api = $('#trait_table').DataTable(); check_cells = table_api.column(0).nodes().to$(); @@ -44,7 +43,7 @@ $(function() { change_buttons(); }; - deselect_all = function() { + deselectAll = function() { table_api = $('#trait_table').DataTable(); check_cells = table_api.column(0).nodes().to$(); @@ -93,48 +92,91 @@ $(function() { $('#trait_table').DataTable().search($(this).val()).draw(); }); - $('#select_top').keyup(function(){ - num_rows = $(this).val() - - if (num_rows = parseInt(num_rows)){ - table_api = $('#trait_table').DataTable(); + /** + * parseIndexString takes a string consisting of integers, + * hyphens, and/or commas to indicate range(s) of indices + * to select a rows and returns the corresponding set of indices + * For example - "1, 5-10, 15" would return a set of 8 rows + * @return {Set} The list of indices as a Set + */ + parseIndexString = function(idx_string) { + index_list = []; + + _ref = idx_string.split(","); + for (_i = 0; _i < _ref.length; _i++) { + index_set = _ref[_i]; + if (!/^ *([0-9]+$) *| *([0-9]+ *- *[0-9]+$) *|(^$)$/.test(index_set)) { + $('#select_samples_invalid').show(); + break + } else { + $('#select_samples_invalid').hide(); + } + if (index_set.indexOf('-') !== -1) { + start_index = parseInt(index_set.split("-")[0]); + end_index = parseInt(index_set.split("-")[1]); - check_cells = table_api.column(0).nodes().to$(); - for (let i = 0; i < num_rows; i++) { - check_cells[i].childNodes[0].checked = true; + // If start index is higher than end index (for example is the string "10-5" exists) swap values so it'll be interpreted as "5-10" instead + if (start_index > end_index) { + [start_index, end_index] = [end_index, start_index] } - check_rows = table_api.rows().nodes(); - for (let i=0; i < num_rows; i++) { - if (check_rows[i].classList.contains("selected")){ - continue - } else { - check_rows[i].classList.add("selected") - } - } - for (let i = num_rows; i < check_rows.length; i++){ - check_cells[i].childNodes[0].checked = false; - if (check_rows[i].classList.contains("selected")){ - check_rows[i].classList.remove("selected") - } + for (index = start_index; index <= end_index; index++) { + index_list.push(index); } + } else { + index = parseInt(index_set); + index_list.push(index); } - else { - for (let i = 0; i < check_rows.length; i++){ - check_cells[i].childNodes[0].checked = false; - if (check_rows[i].classList.contains("selected")){ - check_rows[i].classList.remove("selected") - } - } + } + return new Set(index_list) + } + + filterByIndex = function() { + indexString = $('#select_top').val() + indexSet = parseIndexString(indexString) + + tableApi = $('#trait_table').DataTable(); + checkNodes = tableApi.column(0).nodes().to$(); + checkNodes.each(function(index) { + if (indexSet.has(index + 1)){ + $(this)[0].childNodes[0].checked = true } - change_buttons(); + }) + + checkRows = tableApi.rows().nodes().to$(); + checkRows.each(function(index) { + if (indexSet.has(index + 1)){ + $(this)[0].classList.add("selected"); + } + }) + } + + $(window).keydown(function(event){ + if((event.keyCode == 13)) { + event.preventDefault(); + return false; + } + }); + + $('#select_top').keyup(function(event){ + if (event.keyCode === 13) { + filterByIndex() + } }); - add_to_collection = function() { + $('#select_top').blur(function() { + filterByIndex() + }); + + addToCollection = function() { var traits; - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); + table_api = $('#trait_table').DataTable(); + check_nodes = table_api.column(0).nodes().to$(); + traits = Array.from(check_nodes.map(function() { + if ($(this)[0].childNodes[0].checked){ + return $(this)[0].childNodes[0].value + } + })) var traits_hash = md5(traits.toString()); @@ -153,19 +195,15 @@ $(function() { }; - removed_traits = function() { - return checked_traits.closest("tr").fadeOut(); - }; - - submit_bnw = function() { - trait_data = submit_traits_to_export_or_bnw("trait_table", "submit_bnw") + submitBnw = function() { + trait_data = submitTraitsToExportOrBnw("trait_table", "submit_bnw") } - export_traits = function() { - trait_data = submit_traits_to_export_or_bnw("trait_table", "export_csv") + exportTraits = function() { + trait_data = submitTraitsToExportOrBnw("trait_table", "export_csv") }; - submit_traits_to_export_or_bnw = function(table_name, destination) { + submitTraitsToExportOrBnw = function(table_name, destination) { trait_table = $('#'+table_name); table_dict = {}; @@ -206,7 +244,7 @@ $(function() { $('#export_form').submit(); }; - get_traits_from_table = function(){ + getTraitsFromTable = function(){ traits = $("#trait_table input:checked").map(function() { return $(this).val(); }).get(); @@ -222,42 +260,42 @@ $(function() { } $("#corr_matrix").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) $("input[name=tool_used]").val("Correlation Matrix") $("input[name=form_url]").val($(this).data("url")) return submit_special("/loading") }); $("#network_graph").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) $("input[name=tool_used]").val("Network Graph") $("input[name=form_url]").val($(this).data("url")) return submit_special("/loading") }); $("#wgcna_setup").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) $("input[name=tool_used]").val("WGCNA Setup") $("input[name=form_url]").val($(this).data("url")) return submit_special("/loading") }); $("#ctl_setup").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) $("input[name=tool_used]").val("CTL Setup") $("input[name=form_url]").val($(this).data("url")) return submit_special("/loading") }); $("#heatmap").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) $("input[name=tool_used]").val("Heatmap") $("input[name=form_url]").val($(this).data("url")) return submit_special("/loading") }); $("#comp_bar_chart").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) $("input[name=tool_used]").val("Comparison Bar Chart") $("input[name=form_url]").val($(this).data("url")) @@ -265,32 +303,32 @@ $(function() { }); $("#send_to_webgestalt, #send_to_bnw, #send_to_geneweaver").on("click", function() { - traits = get_traits_from_table() + traits = getTraitsFromTable() $("#trait_list").val(traits) url = $(this).data("url") return submit_special(url) }); - $("#select_all").click(select_all); - $("#deselect_all").click(deselect_all); + $("#select_all").click(selectAll); + $("#deselect_all").click(deselectAll); $("#invert").click(invert); - $("#add").click(add_to_collection); - $("#submit_bnw").click(submit_bnw); - $("#export_traits").click(export_traits); + $("#add").click(addToCollection); + $("#submit_bnw").click(submitBnw); + $("#export_traits").click(exportTraits); let naturalAsc = $.fn.dataTableExt.oSort["natural-ci-asc"] let naturalDesc = $.fn.dataTableExt.oSort["natural-ci-desc"] let na_equivalent_vals = ["N/A", "--", ""]; //ZS: Since there are multiple values that should be treated the same as N/A - function extract_inner_text(the_string){ + function extractInnerText(the_string){ var span = document.createElement('span'); span.innerHTML = the_string; return span.textContent || span.innerText; } - function sort_NAs(a, b, sort_function){ + function sortNAs(a, b, sort_function){ if ( na_equivalent_vals.includes(a) && na_equivalent_vals.includes(b)) { return 0; } @@ -305,10 +343,10 @@ $(function() { $.extend( $.fn.dataTableExt.oSort, { "natural-minus-na-asc": function (a, b) { - return sort_NAs(extract_inner_text(a), extract_inner_text(b), naturalAsc) + return sortNAs(extractInnerText(a), extractInnerText(b), naturalAsc) }, "natural-minus-na-desc": function (a, b) { - return sort_NAs(extract_inner_text(a), extract_inner_text(b), naturalDesc) + return sortNAs(extractInnerText(a), extractInnerText(b), naturalDesc) } }); @@ -326,7 +364,7 @@ $(function() { } ); } - apply_default = function() { + applyDefault = function() { let default_collection_id = $.cookie('default_collection'); if (default_collection_id) { let the_option = $('[name=existing_collection] option').filter(function() { @@ -335,6 +373,6 @@ $(function() { the_option.prop('selected', true); } } - apply_default(); + applyDefault(); -});
\ No newline at end of file +}); diff --git a/wqflask/wqflask/templates/collections/view.html b/wqflask/wqflask/templates/collections/view.html index 0ded66a6..6f1a9680 100644 --- a/wqflask/wqflask/templates/collections/view.html +++ b/wqflask/wqflask/templates/collections/view.html @@ -33,31 +33,45 @@ </form> </div> + <div style="display: flex;"> + <form id="heatmaps_form"> + <button id="clustered-heatmap" + class="btn btn-primary" + data-url="{{heatmap_data_url}}" + title="Generate heatmap from this collection" style="margin-top: 10px; margin-bottom: 10px;"> + Generate Heatmap + </button> + <br> + <div id="heatmap-options" style="display: none;"> + <div style="margin-bottom: 10px;"> + <b>Heatmap Orientation: </b> + <br> + Vertical + <input id="heatmap-orient-vertical" + type="radio" + name="vertical" + value="true" checked="checked"/> + Horizontal + <input id="heatmap-orient-horizontal" + type="radio" + name="vertical" + value="false" /> + </div> + <div style="margin-bottom: 10px;"> + <button id="clear-heatmap" + class="btn btn-danger" + title="Clear Heatmap"> + Clear Heatmap + </button> + </div> + </div> + </form> + + </div> <div> + <div id="clustered-heatmap-image-area"></div> <br /> - <form id="heatmaps_form"> - <fieldset> - <legend>Heatmap Orientation</legend> - <label for="heatmap-orient-vertical">Vertical</label> - <input id="heatmap-orient-vertical" - type="radio" - name="vertical" - value="true" /> - <label for="heatmap-orient-horizontal">Horizontal</label> - <input id="heatmap-orient-horizontal" - type="radio" - name="vertical" - value="false" /> - </fieldset> - <button id="clustered-heatmap" - class="btn btn-primary" - data-url="{{heatmap_data_url}}" - title="Generate heatmap from this collection"> - Generate Heatmap - </button> - </form> - <div class="collection-table-options"> <form id="export_form" method="POST" action="/export_traits_csv"> <button class="btn btn-default" id="select_all" type="button"><span class="glyphicon glyphicon-ok"></span> Select All</button> @@ -74,8 +88,6 @@ <button id="delete" class="btn btn-danger submit_special" data-url="/collections/delete" type="button" title="Delete this collection" > Delete Collection</button> </form> </div> - <div id="clustered-heatmap-image-area"> - </div> <div style="margin-top: 10px; margin-bottom: 5px;"> <b>Show/Hide Columns:</b> </div> @@ -100,7 +112,13 @@ <tbody> {% for this_trait in trait_obs %} <TR id="trait:{{ this_trait.name }}:{{ this_trait.dataset.name }}"> - <TD align="center" style="padding: 0px;"><INPUT TYPE="checkbox" NAME="searchResult" class="checkbox trait_checkbox" VALUE="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"></TD> + <TD align="center" style="padding: 0px;"> + <input type="checkbox" + name="searchResult" + class="checkbox trait_checkbox" + value="{{data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name))}}" + data-trait-info="{{trait_info_str(this_trait)}}"> + </TD> <TD data-export="{{ loop.index }}" align="right">{{ loop.index }}</TD> <TD title="{{ this_trait.dataset.fullname }}" data-export="{{ this_trait.dataset.fullname }}">{{ this_trait.dataset.fullname }}</TD> <TD data-export="{{ this_trait.name }}"> @@ -165,6 +183,9 @@ <script type="text/javascript" src="{{ url_for('js', filename='plotly/plotly.min.js') }}"></script> + <script type="text/javascript" + src="/static/new/javascript/partial_correlations.js"></script> + <script language="javascript" type="text/javascript"> $(document).ready( function () { @@ -322,6 +343,7 @@ $("#clustered-heatmap").on("click", function() { clear_heatmap_area(); + $("#heatmap-options").show(); intv = window.setInterval(generate_progress_indicator(), 300); vert_element = document.getElementById("heatmap-orient-vertical"); vert_true = vert_element == null ? false : vert_element.checked; @@ -348,6 +370,12 @@ } }); }); + + $("#clear-heatmap").on("click", function() { + clear_heatmap_area(); + $("#heatmap-options").hide(); + }); + }); </script> diff --git a/wqflask/wqflask/templates/correlation_matrix.html b/wqflask/wqflask/templates/correlation_matrix.html index 3da6981c..e90accf2 100644 --- a/wqflask/wqflask/templates/correlation_matrix.html +++ b/wqflask/wqflask/templates/correlation_matrix.html @@ -71,6 +71,12 @@ <button class="btn btn-default" id="export">Download <span class="glyphicon glyphicon-download"></span></button> </form> <br> + +<div style="margin:20x;"> + {% include 'pca_scree_plot.html' %} + +</div> + {% if pca_works == "True" %} <h2>PCA Traits</h2> <div style="margin-bottom: 20px; overflow:hidden; width: 450px;"> diff --git a/wqflask/wqflask/templates/ctl_setup.html b/wqflask/wqflask/templates/ctl_setup.html index a7ad5759..f5b0baf8 100644 --- a/wqflask/wqflask/templates/ctl_setup.html +++ b/wqflask/wqflask/templates/ctl_setup.html @@ -1,76 +1,70 @@ {% extends "base.html" %} {% block title %}CTL analysis{% endblock %} - -{% block content %} <!-- Start of body --> +{% block content %} +<!-- Start of body --> <div class="container"> - {% if request.form['trait_list'].split(",")|length < 2 %} - <div class="alert alert-danger" role="alert"> - <span class="glyphicon glyphicon-exclamation-sign" aria-hidden="true"></span> - <span class="sr-only">Error:</span> - <h2>Too few traits as input</h2> - Please make sure you select enough traits to perform CTL. Your collection needs to contain at least 2 different traits. You provided {{request.form['trait_list'].split(',')|length}} traits as input. - </div> - {% else %} - <h1>CTL analysis</h1> - CTL analysis is published as open source software, if you are using this method in your publications, please cite:<br><br> - Arends D, Li Y, Brockmann GA, Jansen RC, Williams RW, Prins P<br> - Correlation trait locus (CTL) mapping: Phenotype network inference subject to genotype.<br> - The Journal of Open Source Software (2016)<br> - Published in <a href="http://joss.theoj.org/papers/10.21105/joss.00087"><img src="http://joss.theoj.org/papers/10.21105/joss.00087/status.svg"></a> - <br><br> - {{(request.form['trait_list'].split(',')|length)}} traits as input - - <form action="/ctl_results" method="post" class="form-horizontal"> - <input type="hidden" name="trait_list" id="trait_list" value= "{{request.form['trait_list']}}"> - <div class="dropdown"> - <label for="Strategy">Strategy</label> - <div class="col-sm-10"> - <select name="strategy" id="strategy"> - <option value="Exact">Exact</option> - <option value="Full">Full</option> - <option value="Pairwise">Pairwise</option> - </select> - </div> + {% if request.form['trait_list'].split(",")|length < 2 %} <div class="alert alert-danger" role="alert"> + <span class="glyphicon glyphicon-exclamation-sign" aria-hidden="true"></span> + <span class="sr-only">Error:</span> + <h2>Too few traits as input</h2> + Please make sure you select enough traits to perform CTL. Your collection needs to contain at least 2 different traits. You provided {{request.form['trait_list'].split(',')|length}} traits as input. +</div> +{% else %} +<h1>CTL analysis</h1> +CTL analysis is published as open source software, if you are using this method in your publications, please cite:<br><br> +Arends D, Li Y, Brockmann GA, Jansen RC, Williams RW, Prins P<br> +Correlation trait locus (CTL) mapping: Phenotype network inference subject to genotype.<br> +The Journal of Open Source Software (2016)<br> +Published in <a href="http://joss.theoj.org/papers/10.21105/joss.00087"><img src="http://joss.theoj.org/papers/10.21105/joss.00087/status.svg"></a> +<br><br> +<form class="col-md-8" action="/ctl_results" method="post" class="form-horizontal" id="ctl_form"> + <input type="hidden" name="trait_list" id="trait_list" value="{{request.form['trait_list']}}"> + <div class="form-group row"> + <label for="Strategy" class="col-md-3 col-form-label col-form-label-sm">Strategy</label> + <div class="col-md-9"> + <select class="form-control col-md-9" name="strategy" id="strategy"> + <option value="Exact" selected="selected">Exact</option> + <option value="Full">Full</option> + <option value="Pairwise">Pairwise</option> + </select> + </div> </div> - - <div class="dropdown"> - <label for="Permutations">Number of permutation (Used when strategy is Full or Pairwise)</label> - <div class="col-sm-10"> - <select name="nperm" id="nperm"> - <option value="100">100</option> - <option value="1000" selected="selected">1000</option> - <option value="10000">10000</option> - </select> - </div> + <div class="form-group row"> + <label for="corType" class="col-md-3 col-form-label col-form-label-sm">Perform parametric analysis</label> + <div class="col-md-9"> + <select class="form-control col-md-9" name="parametric" id="parametric"> + <option value="True" selected="selected">True</option> + <option value="False">False</option> + </select> + </div> </div> - - <div class="dropdown"> - <label for="Coefficient">Type of correlation coefficient</label> - <div class="col-sm-10"> - <select name="parametric" id="parametric"> - <option value="False">Spearman</option> - <option value="True">Pearson</option> - </select> - </div> + <div class="form-group row"> + <label for="Permutations" class="col-md-3 col-form-label col-form-label-sm">Number of permutation <span style="color:red;">(Used when strategy is Full or Pairwise)</span></label> + <div class="col-md-9"> + <select class="form-control" name="nperm" id="nperm"> + <option value="100">100</option> + <option value="1000" selected="selected">1000</option> + <option value="10000">10000</option> + </select> + </div> </div> - - <div class="dropdown"> - <label for="Significance">Significance level</label> - <div class="col-sm-10"> - <select name="significance" id="significance"> - <option value="0.1">0.1</option> - <option value="0.05" selected="selected">0.05</option> - <option value="0.001">0.001</option> - </select> - </div> + <div class="form-group row"> + <label for="Significance" class="col-md-3 col-form-label col-form-label-sm"> Significance level</label> + <div class="col-md-9"> + <select class="form-control" name="significance" id="significance"> + <option value="0.1">0.1</option> + <option value="0.05" selected="selected">0.05</option> + <option value="0.001">0.001</option> + </select> + </div> </div> - <br> <div class="form-group"> - <div class="col-sm-10"> - <input type="submit" class="btn btn-primary" value="Run CTL using these settings" /> - </div> + <div class="text-center"> + <input type="submit" class="btn btn-primary" value="Run CTL using these settings" /> + </div> </div> </form> {% endif %} </div> {% endblock %} + diff --git a/wqflask/wqflask/templates/display_diffs.html b/wqflask/wqflask/templates/display_diffs.html index e787e468..ce50c1b4 100644 --- a/wqflask/wqflask/templates/display_diffs.html +++ b/wqflask/wqflask/templates/display_diffs.html @@ -11,14 +11,14 @@ {% set additions = diff.get("Additions") %} {% set modifications = diff.get("Modifications") %} {% set deletions = diff.get("Deletions") %} - + {% set header = diff.get("Columns", "Strain Name,Value,SE,Count") %} {% if additions %} <h2>Additions Data:</h2> <div class="row"> <div class="col-md-8"> <table class="table-responsive table-hover table-striped cell-border" id="table-additions"> <thead> - <th scope="col">Added Data</</th> + <th scope="col">Added Data ({{ header }})</th> </thead> <tbody> {% for data in additions %} @@ -39,9 +39,9 @@ <div class="col-md-8"> <table class="table-responsive table-hover table-striped cell-border" id="table-modifications"> <thead> - <th scope="col">Original</</th> - <th scope="col">Current</</th> - <th scope="col">Diff</</th> + <th scope="col">Original</th> + <th scope="col">Current</th> + <th scope="col">Diff ({{ header }})</th> </thead> <tbody> {% for data in modifications %} diff --git a/wqflask/wqflask/templates/edit_phenotype.html b/wqflask/wqflask/templates/edit_phenotype.html index 0daea51d..5458247e 100644 --- a/wqflask/wqflask/templates/edit_phenotype.html +++ b/wqflask/wqflask/templates/edit_phenotype.html @@ -218,12 +218,17 @@ </div> <div style="margin-left: 13%;"> <a href="/datasets/{{ publish_xref.id_ }}/traits/{{ publish_xref.phenotype_id }}/csv?resource-id={{ resource_id }}" class="btn btn-link btn-sm"> - Sample Data(CSV Download) + Click to Download CSV Sample Data </a> </div> <div class="form-group"> <input type = "file" class="col-sm-4 control-label" name = "file" /> </div> + <div class="col-xs-6"> + <p> + Note: Current allowable sample headers are: {{ ', '.join(headers) }} + </p> + </div> <div class="controls center-block" style="width: max-content;"> <input name="inbred-set-id" class="changed" type="hidden" value="{{ publish_xref.inbred_set_id }}"/> <input name="phenotype-id" class="changed" type="hidden" value="{{ publish_xref.phenotype_id }}"/> diff --git a/wqflask/wqflask/templates/gn3_ctl_results.html b/wqflask/wqflask/templates/gn3_ctl_results.html new file mode 100644 index 00000000..c42707f6 --- /dev/null +++ b/wqflask/wqflask/templates/gn3_ctl_results.html @@ -0,0 +1,101 @@ +{% extends "base.html" %} +{% block title %}Ctl results{% endblock %} +{% block content %} +<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous"> +<link REL="stylesheet" TYPE="text/css" href="{{ url_for('css', filename='bootstrap/css/bootstrap.css') }}" /> +<link rel="stylesheet" href="https://cdn.datatables.net/1.11.3/css/jquery.dataTables.min.css"> +<style type="text/css"> +.carousel-control-next, +.carousel-control-prev + +/*, .carousel-indicators */ + { + filter: invert(100%); +} +</style> +<div style="margin-top:10px"> + +{% if error %} + <div> + <h4 style="text-align:center;color:red">{{error}}</h4> + </div> + +{% else %} + <div> + <div> + <div style="text-align: center;"> + <h3>CTL/QTL Plots for Individual Traits</h3> + <h4> {{ctl_plots|length}} phenotypes as input</h4> + </div> + <div id="carouselExampleControls" class="carousel slide" data-interval="false"> + <div class="carousel-inner"> + {% for ctl_plot in ctl_plots %} + <div class="item{% if loop.index == 1 %} active{% endif %}"> + <img style="width:1000px;height: 600px;" class="center-block" src="data:image/jpeg;base64,{{ ctl_plot | safe }}" alt="First slide"> + </div> + {% endfor %} + <a class="carousel-control-prev" href="#carouselExampleControls" role="button" data-slide="prev"> + <span class="carousel-control-prev-icon" aria-hidden="true"></span> + <span class="sr-only">Previous</span> + </a> + <a class="carousel-control-next" href="#carouselExampleControls" role="button" data-slide="next"> + <span class="carousel-control-next-icon" aria-hidden="true"></span> + <span class="sr-only">Next</span> + </a> + </div> + </div> + </div> + <div> + <div style="text-align:center;"> + <h2>Ctl line plot</h2> + <h4>Plot the CTL for genome-wide CTL on all traits (the output of CTLscan).</h4> + </div> + <div class="row"> + <div class="col-8"> + <img style="width:100%;height: 600px;" class="center-block" src="data:image/jpeg;base64,{{ image_data | safe }}"> + </div> + <div class="col-4"> + <ol style="height: 100%;display:flex;flex-direction: column;align-items: center;justify-content: center;"> + {% for trait in phenotypes %} + {% set trait_data = trait.split(':') %} + <li><a href="/show_trait?trait_id={{trait_data[0]}}&dataset={{trait_data[1]}}">{{trait_data[0]}}</a></li> + {% endfor %} + </ol> + </div> + </div> + </div> + <h2 style="text-align:center">Significant CTL </h2> + <table id="significance" width="80vw"></table> + <div style="text-align: center;margin-top: 20px;"> + <h3 style="text-align:center;">Network figure</h3> + <div style="margin-top: 20px;"> + <p>Use tools like cytoscape to visualize the network</p> + <a href="/ctl_network_files/{{network_file_name}}/sif" class="btn btn-secondary btn-lg mx-2">Download Sif file</a> + <a href="/ctl_network_files/{{network_file_name}}/nodes" class="btn btn-secondary btn-lg mx-2">Download Node file</a> + </div> + </div> +</div> + +{% endif %} +</div> + +<!-- <script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js" integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl" crossorigin="anonymous"></script> --> +<script src="{{ url_for('js', filename='bootstrap/js/bootstrap.min.js') }}" type="text/javascript"></script> +<script language="javascript" type="text/javascript" src="{{ url_for('js', filename='DataTables/js/jquery.js') }}"></script> +<script language="javascript" type="text/javascript" src="{{ url_for('js', filename='DataTables/js/jquery.dataTables.min.js') }}"></script> +<script language="javascript" type="text/javascript" src="{{ url_for('js', filename='DataTablesExtensions/scroller/js/dataTables.scroller.min.js') }}"></script> +<script type="text/javascript"> +let { data_set_rows, col_names } = {{ significance_data | safe }} + + +$('#significance').DataTable({ + data: data_set_rows, + columns: col_names.map((name) => { + return { + title: name + } + }) +}); +</script> +{% endblock %} + diff --git a/wqflask/wqflask/templates/partial_correlations/pcorrs_error.html b/wqflask/wqflask/templates/partial_correlations/pcorrs_error.html new file mode 100644 index 00000000..36847f57 --- /dev/null +++ b/wqflask/wqflask/templates/partial_correlations/pcorrs_error.html @@ -0,0 +1,54 @@ +{% extends "base.html" %} +{% block title %}Error: {{message}}{% endblock %} +{% block content %} +<!-- Start of body --> + +<div class="col-md-8"> +<div class="form-group has-error"> + <div class="control-label" for="inputError1"> + + <img src="/static/gif/error/{{ error_image }}"> + + <h1>ERROR</h1> + + <p> + This error is not what we wanted to see. Unfortunately errors + are part of all software systems and we need to resolve this + together. + </p> + <p> + <b>It is important to report this ERROR so we can fix it for everyone</b>. + </p> + + <p> + Report to the GeneNetwork team by recording the steps you take + to reproduce this ERROR. Next to those steps, copy-paste below + stack trace, either as + a <a href="https://github.com/genenetwork/genenetwork2/issues/new">new + issue</a> or E-mail this full page to one of the developers + directly. + </p> + </div> + + <p> + (GeneNetwork error: {{message[:128]}}) + </p> + + <p> + To check if this already a known issue, search the + <a href="https://github.com/genenetwork/genenetwork2/issues">issue + tracker</a>. + </p> + + <a href="#Stack" class="btn btn-default" data-toggle="collapse">Toggle full stack trace</a> + <div id="Stack" class="collapse"> + <pre> + GeneNetwork {{ version }} {% for line in stack %} {{ line }} + {% endfor %} + </pre> + </div> +</div> +</div> + + +{% endblock %} diff --git a/wqflask/wqflask/templates/partial_correlations/pcorrs_poll_results.html b/wqflask/wqflask/templates/partial_correlations/pcorrs_poll_results.html new file mode 100644 index 00000000..47acc294 --- /dev/null +++ b/wqflask/wqflask/templates/partial_correlations/pcorrs_poll_results.html @@ -0,0 +1,15 @@ +{%extends "base.html"%} + +{%block title%}Partial Correlations:{%endblock%} + +{%block css%} +<meta http-equiv="refresh" + content="10;URL=/partial_correlations/{{command_id}}"> +{%endblock%} + +{%block content%} + +<p>Computing partial correlations...</p> +<img src="/static/gif/waitAnima2.gif" + alt="Image indicating computation of partial correlations is ongoing" /> +{%endblock%} diff --git a/wqflask/wqflask/templates/partial_correlations/pcorrs_results_presentation.html b/wqflask/wqflask/templates/partial_correlations/pcorrs_results_presentation.html new file mode 100644 index 00000000..c109f24b --- /dev/null +++ b/wqflask/wqflask/templates/partial_correlations/pcorrs_results_presentation.html @@ -0,0 +1,249 @@ +{%extends "base.html"%} + +{%block title%}Partial Correlations:{%endblock%} + +{%block css%} +<link rel="stylesheet" type="text/css" href="/static/new/css/partial_correlations.css" /> +<link rel="stylesheet" type="text/css" href="{{ url_for('css', filename='DataTables/css/jquery.dataTables.css') }}" /> +<link rel="stylesheet" type="text/css" href="/static/new/css/trait_list.css" /> +<link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> +{%endblock%} + +{%block content%} +<p> + <strong>Primary Trait</strong><br /><br /> + <a href="{{url_for( + 'show_trait_page', + trait_id=primary['trait_name'], + dataset=primary['dataset_name'])}}" + title="Link to trait data for trait {{primary['trait_name']}}"> + {{primary["dataset_type"]}}/{{primary["trait_name"]}} + [{{primary["symbol"] }} on Chr {{primary["chr"]}} @ {{primary["mb"]}}]: + {{primary["description"]}} + </a> --- FROM: {{primary["dataset_name"]}} +</p> +<p><strong>Control Traits</strong><br /><br /> + {%for trait in controls:%} + <a href="{{url_for( + 'show_trait_page', + trait_id=trait['trait_name'], + dataset=trait['dataset_name'])}}" + title="Link to trait data for trait {{trait['trait_name']}}"> + {{trait["dataset_type"]}}/{{trait["trait_name"]}} + [{{trait["symbol"] }} on Chr {{trait["chr"]}} @ {{trait["mb"]}}]: + {{trait["description"]}} + </a> --- FROM: {{trait["dataset_name"]}}<br /> + {%endfor%} +</p> + +<div id="partial-correlation-results"> + {%if dataset_type == "Publish":%} + <table id="part-corr-results-publish" + class="table-hover table-striped cell-border" + style="float: left;"> + <thead> + <tr> + <th></th> + <th>Index</th> + <th>Record</th> + <th>Phenotype</th> + <th>Authors</th> + <th>Year</th> + <th>N</th> + <th>Partial {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>p(partial {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + <th>{%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>p({%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + <th>delta {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + </tr> + </thead> + + <tbody> + {%for trait in correlations:%} + <tr class="results-row"> + <td></td> + <td data-column-heading="Index"></td> + <td data-column-heading="Record"> + <a href="{{url_for( + 'show_trait_page', + trait_id=trait['trait_name'], + dataset=trait['dataset_name'])}}" + title="Link to trait data for trait {{trait['trait_name']}}"> + {{trait["trait_name"]}} + </a> + </td> + <td data-column-heading="Phenotype"> + {{trait["post_publication_description"]}}</td> + <td data-column-heading="Authors">{{trait["authors"]}}</td> + <td data-column-heading="Year">{{trait["year"]}}</td> + <td data-column-heading="N">{{trait["noverlap"]}}</td> + <td data-column-heading="Partial {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("partial_corr"))}} + </td> + <td data-column-heading="p(partial {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("partial_corr_p_value"))}} + </td> + <td data-column-heading="{%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("corr"))}} + </td> + <td data-column-heading="p({%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("corr_p_value"))}} + </td> + <td data-column-heading="delta {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("delta"))}} + </td> + </tr> + {%endfor%} + </tbody> + </table> + {%endif%} + + {%if dataset_type == "Geno":%} + <table id="part-corr-results-geno" + class="table-hover table-striped cell-border" + style="float: left;"> + <thead> + <tr> + <th></th> + <th>Index</th> + <th>Locus</th> + <th>Chr</th> + <th>Megabase</th> + <th>N</th> + <th>Partial {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>p(partial {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + <th>{%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>p({%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + <th>delta {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + </tr> + </thead> + + <tbody> + {%for trait in correlations:%} + <tr class="results-row"> + <td></td> + <td data-column-heading="Index"></td> + <td data-column-heading="Locus"> + <a href="{{url_for( + 'show_trait_page', + trait_id=trait['trait_name'], + dataset=trait['dataset_name'])}}" + title="Link to trait data for trait {{trait['trait_name']}}"> + {{trait["trait_name"]}} + </a> + </td> + <td data-column-heading="Chr">{{trait["chr"]}}</td> + <td data-column-heading="Megabase">{{trait["mb"]}}</td> + <td data-column-heading="N">{{trait["noverlap"]}}</td> + <td data-column-heading="Partial {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("partial_corr"))}} + </td> + <td data-column-heading="p(partial {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("partial_corr_p_value"))}} + </td> + <td data-column-heading="{%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("corr"))}} + </td> + <td data-column-heading="p({%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("corr_p_value"))}} + </td> + <td data-column-heading="delta {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("delta"))}} + </td> + </tr> + {%endfor%} + </tbody> + </table> + {%endif%} + + {%if dataset_type == "ProbeSet":%} + <table id="part-corr-results-probeset" + class="table-hover table-striped cell-border" + style="float: left;"> + <thead> + <tr> + <th></th> + <th>Index</th> + <th>Record</th> + <th>Gene ID</th> + <th>Homologene ID</th> + <th>Symbol</th> + <th>Description</th> + <th>Chr</th> + <th>Megabase</th> + <th>Mean Expr</th> + <th>N</th> + <th>Sample Partial {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>Sample p(partial {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + <th>Sample {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>Sample p({%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + <th>delta {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>Lit Corr</th> + <th>Tissue {%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%}</th> + <th>Tissue p({%if "spearman" in (method | lower):%}rho{%else:%}r{%endif%})</th> + </tr> + </thead> + + <tbody> + {%for trait in correlations:%} + <tr class="results-row"> + <td></td> + <td data-column-heading="Index"></td> + <td data-column-heading="Record"> + <a href="{{url_for( + 'show_trait_page', + trait_id=trait['trait_name'], + dataset=trait['dataset_name'])}}" + title="Link to trait data for trait {{trait['trait_name']}}"> + {{trait["trait_name"]}} + </a> + </td> + <td data-column-heading="Gene ID">{{trait["geneid"]}}</td> + <td data-column-heading="Homologene ID">{{trait["homologeneid"]}}</td> + <td data-column-heading="Symbol">{{trait["symbol"]}}</td> + <td data-column-heading="Description">{{trait["description"]}}</td> + <td data-column-heading="Chr">{{trait["chr"]}}</td> + <td data-column-heading="Megabase">{{trait["mb"]}}</td> + <td data-column-heading="Mean Expr">{{trait["mean_expr"]}}</td> + <td data-column-heading="N">{{trait["noverlap"]}}</td> + <td data-column-heading="Sample Partial {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("partial_corr"))}} + </td> + <td data-column-heading="Sample p(partial {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("partial_corr_p_value"))}} + </td> + <td data-column-heading="Sample {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("corr"))}} + </td> + <td data-column-heading="Sample p({%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("corr_p_value"))}} + </td> + <td data-column-heading="delta {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("delta"))}} + </td> + <td data-column-heading="Lit Corr"> + {{format_number(trait.get("l_corr"))}} + </td> + <td data-column-heading="Tissue {%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%}"> + {{format_number(trait.get("tissue_corr"))}} + </td> + <td data-column-heading="Tissue p({%if 'spearman' in (method | lower):%}rho{%else:%}r{%endif%})"> + {{format_number(trait.get("tissue_p_value"))}} + </td> + </tr> + {%endfor%} + </tbody> + </table> + {%endif%} + +</div> +{%endblock%} + +{%block js%} +{%if step == "select-corr-method":%} +<script type="text/javascript" + src="/static/new/javascript/partial_correlations.js"></script> +<script language="javascript" type="text/javascript" + src="{{ url_for('js', filename='DataTables/js/jquery.dataTables.min.js') }}"></script> +{%endif%} +{%endblock%} diff --git a/wqflask/wqflask/templates/partial_correlations/pcorrs_select_operations.html b/wqflask/wqflask/templates/partial_correlations/pcorrs_select_operations.html new file mode 100644 index 00000000..e541f31b --- /dev/null +++ b/wqflask/wqflask/templates/partial_correlations/pcorrs_select_operations.html @@ -0,0 +1,146 @@ +{%extends "base.html"%} + +{%block title%}Partial Correlations:{%endblock%} + +{%block css%} +<link rel="stylesheet" type="text/css" + href="{{url_for('css', filename='DataTables/css/jquery.dataTables.css')}}" /> +<link rel="stylesheet" type="text/css" + href="{{url_for('js', filename='DataTablesExtensions/buttonStyles/css/buttons.dataTables.min.css')}}"> +<link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> +<link rel="stylesheet" type="text/css" href="/static/new/css/trait_list.css" /> +<link rel="stylesheet" type="text/css" + href="/static/new/css/partial_correlations.css" /> +{%endblock%} + +{%block content%} +<form id="pcorrs-form" + method="POST" + action="{{url_for('partial_correlations')}}"> + {%with messages = get_flashed_messages(with_categories=true)%} + {%if messages:%} + <ul class=flashes> + {%for category, message in messages:%} + <li class="{{category}}">{{message}}</li> + {%endfor%} + </ul> + {%endif%} + {%endwith%} + + <input type="hidden" value="{{trait_list_str}}" name="trait_list"> + <table id="pcorrs_traits_table" class="table-hover table-striped cell-border"> + <thead> + <tr> + <th>Primary (X)</th> + <th>Controls (Z)</th> + <th>Ignored</th> + <th>Dataset</th> + <th>Trait ID</th> + <th>Symbol</th> + <th>Description</th> + <th>Location</th> + <th>Mean</th> + <th>Max LRS</th> + <th>Max LRS Location Chr and Mb</th> + </tr> + </thead> + + <tbody> + {%for trait in traits:%} + <tr> + <td> + <input type="radio" name="trait_{{trait['trait_name']}}" + id="trait_{{trait['trait_name']}}" + value="primary_{{trait['trait_name']}}"> + </td> + <td> + <input type="radio" name="trait_{{trait['trait_name']}}" + id="trait_{{trait['trait_name']}}" + value="controls_{{trait['trait_name']}}"> + </td> + <td> + <input type="radio" name="trait_{{trait['trait_name']}}" + id="trait_{{trait['trait_name']}}" + value="ignored_{{trait['trait_name']}}" checked="checked"> + </td> + <td>{{trait.get("dataset", "_")}} + <td>{{trait.get("trait_name", "_")}}</td> + <td>{{trait.get("symbol", "_")}}</td> + <td>{{trait.get("description", "_")}}</td> + <td>{{trait.get("location", "_")}}</td> + <td>{{trait.get("mean", "_")}}</td> + <td>{{trait.get("lrs", "_")}}</td> + <td>{{trait.get("lrs_location", "_")}}</td> + </tr> + {%endfor%} + </tbody> + </table> + + <div class="form-group"> + <label for="corr-method-input" class="form-label">Compute</label> + <select id="corr-method-input" required="required" name="method" + class="form-control"> + <option value="Genetic Correlation, Pearson's r"> + Genetic Correlation, Pearson's r</option> + <option value="Genetic Correlation, Spearman's rho"> + Genetic Correlation, Spearman's rho</option> + <option value="SGO Literature Correlation"> + SGO Literature Correlation</option> + <option value="Tissue Correlation, Pearson's r"> + Tissue Correlation, Pearson's r</option> + <option value="Tissue Correlation, Spearman's rho"> + Tissue Correlation, Spearman's rho</option> + </select> + </div> + + <div class="form-group"> + <label for="target-db-input" class="form-label">Choose Database</label> + <select id="target-db-input" required="required" name="target_db" + class="form-control"> + {%if target_dbs:%} + {%for item in target_dbs:%} + {%if "description" in item.keys():%} + <option value="{{item['value']}}">{{item['description']}}</option> + {%else:%} + {%for group, opts in item.items()%} + {%if opts | length > 0:%} + <optgroup label="{{group}} ------"> + {%for item2 in opts:%} + <option value="{{item2['value']}}">{{item2['description']}}</option> + {%endfor%} + </optgroup> + {%endif%} + {%endfor%} + {%endif%} + {%endfor%} + {%endif%} + </select> + </div> + + <div class="form-group"> + <label for="criteria-input" class="form-label">Return</label> + <select id="criteria-input" required="required" name="criteria" size="1" + class="form-control"> + <option value="100">top 100</option> + <option value="200">top 200</option> + <option value="500" selected="selected">top 500</option> + <option value="1000">top 1000</option> + <option value="2000">top 2000</option> + <option value="5000">top 5000</option> + <option value="10000">top 10000</option> + <option value="15000">top 15000</option> + <option value="20000">top 20000</option> + </select> + </div> + + <button type="submit" class="btn btn-primary" name="submit" + value="Run Partial Correlations"> + Run Partial Correlations + </button> +</form> +{%endblock%} + +{%block js%} +<script type="text/javascript" + src="/static/new/javascript/partial_correlations.js"></script> +{%endblock%} diff --git a/wqflask/wqflask/templates/pca_scree_plot.html b/wqflask/wqflask/templates/pca_scree_plot.html new file mode 100644 index 00000000..11bfebff --- /dev/null +++ b/wqflask/wqflask/templates/pca_scree_plot.html @@ -0,0 +1,94 @@ +<!DOCTYPE html> +<html> + +<head> + <meta charset="utf-8"> + <meta name="viewport" content="width=device-width, initial-scale=1"> + <title></title> +</head> + +<body> + <div> + + <div id="scree_plot" style="width:700px;height:600px;"></div> + </div> +</body> +<script type="text/javascript" src="{{ url_for('js', filename='plotly/plotly.min.js') }}"></script> +<script type="text/javascript"> +js_data = {{ js_data | safe }} + +let { x_coord, y_coord } = js_data["scree_data"] + + +const layout = { + + title: { + text: "<b>Pca Scree Plot</b>", + font: { + "size": 24, + "family": "Arial", + "color": "#000000" + } + }, + + yaxis: { + title: { + text: "Percent of total variance %", + font: { + "size": 18, + "color": "" + + } + } + }, + + xaxis: { + title: { + text: "PCA components", + font: { + "size": 18, + "color": "" + + } + } + }, + +} + +const data = [{ + x: x_coord, + y: y_coord, + marker: { + + color: 'rgb(17, 157, 255)', + size: 5, + line: { + color: 'rgb(255, 0, 0)', + width: 3 + } + + } +}] + + +let custom_configs = (filename, download_format, modebar = true) => { + + return { + displayModeBar: modebar, + scrollZoom: false, + toImageButtonOptions: { + filename, + format:download_format, + height: 600, + width: 700, + scale: 1 + } + } + +} + +Plotly.newPlot(document.getElementById("scree_plot"), data, layout, + custom_configs(file_name = "scree_plot", download_format = "svg")); +</script> + +</html> diff --git a/wqflask/wqflask/templates/search_result_page.html b/wqflask/wqflask/templates/search_result_page.html index f73cba17..b9859229 100644 --- a/wqflask/wqflask/templates/search_result_page.html +++ b/wqflask/wqflask/templates/search_result_page.html @@ -40,6 +40,8 @@ with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong>{% if loop.last %}.{% else %} and {% endif %} {% elif word.search_term|length == 3 %} with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[2] }}</strong>{% if loop.last %}.{% else %} and {% endif %} + {% elif word.search_term|length == 4 %} + with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[3] }}</strong> with an exclusion zone of <strong>{{ word.search_term[2] }}</strong> Mb {% elif word.search_term|length == 5 %} with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[2] }}</strong> between <strong>{{ word.search_term[3] }}</strong> and <strong>{{ word.search_term[4] }}</strong> Mb{% if loop.last %}.{% else %} and {% endif %} {% endif %} @@ -94,19 +96,22 @@ <input type="hidden" name="accession_id" id="accession_id" value="{{ dataset.accession_id }}"> {% endif %} <input type="hidden" name="export_data" id="export_data" value=""> - <button class="btn btn-default" id="select_all" type="button"><span class="glyphicon glyphicon-ok"></span> Select</button> - <button class="btn btn-default" id="invert" type="button"><span class="glyphicon glyphicon-adjust"></span> Invert</button> + <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search For..."> <button class="btn btn-success" id="add" type="button" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> - <button class="btn btn-default" id="export_traits">Download <span class="glyphicon glyphicon-download"></span></button> - <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search This Table For ..."> - <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> + <button class="btn btn-default" id="select_all" type="button"><span class="glyphicon glyphicon-ok"></span> Select All</button> + <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Rows (1-5, 11)"> + <button class="btn btn-default" id="export_traits"><span class="glyphicon glyphicon-download"></span> Download</button> + <button class="btn btn-default" id="invert" type="button"><span class="glyphicon glyphicon-adjust"></span> Invert</button> <button class="btn btn-default" id="deselect_all" type="button"><span class="glyphicon glyphicon-remove"></span> Deselect</button> </div> + <div id="select_samples_invalid" class="alert alert-error" style="display:none;"> + Please check that your syntax includes only a combination of integers, dashes, and commas of a format + similar to <strong>1,5,10</strong> or <strong>2, 5-10, 15</strong>, etc. + </div> </form> {% if dataset.type != 'Geno' %} <div class="show-hide-container"> - <b>Show/Hide Columns:</b> - <br> + <b>Show/Hide Columns: </b> {% if dataset.type == 'ProbeSet' %} <button class="toggle-vis" data-column="3">Symbol</button> <button class="toggle-vis" data-column="4">Description</button> @@ -126,7 +131,7 @@ {% endif %} </div> {% endif %} - <div id="table_container" style="width: {% if dataset.type == 'Geno' %}270{% else %}100%{% endif %}px;"> + <div id="table_container" style="width: {% if dataset.type == 'Geno' %}375px;{% else %}100%; min-width: 1400px;{% endif %}"> <table class="table-hover table-striped cell-border" id='trait_table' style="float: left;"> <tbody> <td colspan="100%" align="center"><br><b><font size="15">Loading...</font></b><br></td> @@ -195,6 +200,8 @@ 'title': "Index", 'type': "natural", 'width': "35px", + "searchable": false, + "orderable": false, 'targets': 1, 'data': "index" } @@ -232,7 +239,7 @@ { 'title': "<div style='text-align: right;'>Location</div>", 'type': "natural-minus-na", - 'width': "125px", + 'width': "130px", 'targets': 5, 'data': "location" }, @@ -245,7 +252,7 @@ 'orderSequence': [ "desc", "asc"] }, { - 'title': "<div style='text-align: right;'>Peak <a href=\"{{ url_for('glossary_blueprint.glossary') }}#LRS\" target=\"_blank\" style=\"color: white;\"> <i class=\"fa fa-info-circle\" aria-hidden=\"true\"></i></a></div><div style='text-align: right;'>LOD  </div>", + 'title': "<div style='text-align: right; padding-right: 10px;'>Peak</div> <div style='text-align: right;'>LOD <a href=\"{{ url_for('glossary_blueprint.glossary') }}#LRS\" target=\"_blank\" style=\"color: white;\"><sup style='color: #FF0000;'><i>?</i></sup></a></div>", 'type': "natural-minus-na", 'data': "lod_score", 'width': "60px", @@ -255,12 +262,12 @@ { 'title': "<div style='text-align: right;'>Peak Location</div>", 'type': "natural-minus-na", - 'width': "125px", + 'width': "130px", 'targets': 8, 'data': "lrs_location" }, { - 'title': "<div style='text-align: right;'>Effect <a href=\"{{ url_for('glossary_blueprint.glossary') }}#A\" target=\"_blank\" style=\"color: white;\"> <i class=\"fa fa-info-circle\" aria-hidden=\"true\"></i></a></div><div style='text-align: right;'>Size  </div>", + 'title': "<div style='text-align: right; padding-right: 10px;'>Effect</div> <div style='text-align: right;'>Size <a href=\"{{ url_for('glossary_blueprint.glossary') }}#A\" target=\"_blank\" style=\"color: white;\"><sup style='color: #FF0000;'><i>?</i></sup></a></div>", 'type': "natural-minus-na", 'data': "additive", 'width': "65px", @@ -306,8 +313,8 @@ { 'title': "Authors", 'type': "natural", - {% if (max_widths.authors * 7) < 500 %} - 'width': "{{ max_widths.authors * 7 }}px", + {% if (max_widths.authors * 5) < 500 %} + 'width': "{{ max_widths.authors * 5 }}px", {% else %} 'width': "500px", {% endif %} @@ -315,8 +322,8 @@ 'targets': 5, 'render': function(data, type, row, meta) { author_list = data.authors.split(",") - if (author_list.length >= 6) { - author_string = author_list.slice(0, 6).join(",") + ", et al." + if (author_list.length >= 2) { + author_string = author_list.slice(0, 2).join(",") + ", et al." } else{ author_string = data.authors } @@ -339,7 +346,7 @@ 'orderSequence': [ "desc", "asc"] }, { - 'title': "<div style='text-align: right;'>Peak <a href=\"{{ url_for('glossary_blueprint.glossary') }}#LRS\" target=\"_blank\" style=\"color: white;\"> <i class=\"fa fa-info-circle\" aria-hidden=\"true\"></i></a></div><div style='text-align: right;'>LOD  </div>", + 'title': "<div style='text-align: right; padding-right: 10px;'>Peak</div> <div style='text-align: right;'>LOD <a href=\"{{ url_for('glossary_blueprint.glossary') }}#LRS\" target=\"_blank\" style=\"color: white;\"><sup style='color: #FF0000;'><i>?</i></sup></a></div>", 'type': "natural-minus-na", 'data': "lod_score", 'targets': 7, @@ -349,12 +356,12 @@ { 'title': "<div style='text-align: right;'>Peak Location</div>", 'type': "natural-minus-na", - 'width': "120px", + 'width': "125px", 'targets': 8, 'data': "lrs_location" }, { - 'title': "<div style='text-align: right;'>Effect <a href=\"{{ url_for('glossary_blueprint.glossary') }}#A\" target=\"_blank\" style=\"color: white;\"> <i class=\"fa fa-info-circle\" aria-hidden=\"true\"></i></a></div><div style='text-align: right;'>Size  </div>", + 'title': "<div style='text-align: right; padding-right: 10px;'>Effect</div> <div style='text-align: right;'>Size <a href=\"{{ url_for('glossary_blueprint.glossary') }}#A\" target=\"_blank\" style=\"color: white;\"><sup style='color: #FF0000;'><i>?</i></sup></a></div>", 'type': "natural-minus-na", 'width': "60px", 'data': "additive", @@ -374,7 +381,7 @@ { 'title': "<div style='text-align: right;'>Location</div>", 'type': "natural-minus-na", - 'width': "120px", + 'width': "125px", 'targets': 2, 'data': "location" }{% endif %} @@ -447,7 +454,7 @@ "destroy": true, "autoWidth": false, "bSortClasses": false, - "scrollY": "500px", + "scrollY": "1000px", "scrollCollapse": true, {% if trait_list|length > 5 %} "scroller": true, @@ -491,6 +498,12 @@ } } + trait_table.on( 'order.dt search.dt', function () { + trait_table.column(1, {search:'applied', order:'applied'}).nodes().each( function (cell, i) { + cell.innerHTML = i+1; + } ); + } ).draw(); + window.addEventListener('resize', function(){ trait_table.columns.adjust(); }); diff --git a/wqflask/wqflask/templates/show_trait_calculate_correlations.html b/wqflask/wqflask/templates/show_trait_calculate_correlations.html index 16a819fa..2f98f14e 100644 --- a/wqflask/wqflask/templates/show_trait_calculate_correlations.html +++ b/wqflask/wqflask/templates/show_trait_calculate_correlations.html @@ -119,9 +119,6 @@ <div class="col-xs-3 controls"> <input type="button" class="btn corr_compute submit_special btn-success" data-url="/corr_compute" title="Compute Correlation" value="Compute"> </div> - <div class="col-xs-3 controls"> - <input type="button" class="btn test_corr_compute submit_special btn-success" data-url="/test_corr_compute" title="Compute Correlation" value="Test Compute"> - </div> </div> </div> </div> diff --git a/wqflask/wqflask/templates/show_trait_details.html b/wqflask/wqflask/templates/show_trait_details.html index 4e9ea0fb..1250d728 100644 --- a/wqflask/wqflask/templates/show_trait_details.html +++ b/wqflask/wqflask/templates/show_trait_details.html @@ -242,9 +242,6 @@ {% if this_trait.dataset.type == 'ProbeSet' %} <button type="button" id="edit_resource" class="btn btn-success" title="Edit Resource" onclick="window.open('/datasets/traits/{{ this_trait.name }}?resource-id={{ resource_id }}', '_blank')">Edit</button> {% endif %} - {% if admin_status.get('metadata', DataRole.VIEW) > DataRole.VIEW %} - <button type="button" id="edit_resource" class="btn btn-success" title="Edit Privileges" onclick="window.open('/resource-management/resources/{{ resource_id }}', '_blank')">Edit Privileges</button> - {% endif %} {% endif %} </div> </div> diff --git a/wqflask/wqflask/templates/tool_buttons.html b/wqflask/wqflask/templates/tool_buttons.html index 3ee5be19..c3927495 100644 --- a/wqflask/wqflask/templates/tool_buttons.html +++ b/wqflask/wqflask/templates/tool_buttons.html @@ -33,3 +33,10 @@ <button id="comp_bar_chart" class="btn btn-primary submit_special" data-url="/comparison_bar_chart" title="Comparison Bar Chart" > Comparison Bar Chart </button> + +<button id="partial-correlations" + class="btn btn-primary submit_special" + data-url="{{url_for('partial_correlations')}}" + title="Run partial correlations with the selected traits"> + Partial Correlations +</button> diff --git a/wqflask/wqflask/templates/with-trait-items.html b/wqflask/wqflask/templates/with-trait-items.html new file mode 100644 index 00000000..66d6fd22 --- /dev/null +++ b/wqflask/wqflask/templates/with-trait-items.html @@ -0,0 +1,18 @@ +{%for trait in traits_list:%} +<div class="with-trait"> + <input type="{%if step=='select-primary':%}radio{%else:%}checkbox{%endif%}" + name="{%if step=='select-primary':%}primary_trait{%else:%}control_traits[]{%endif%}" + value="{{trait['name']}}:::{{trait['dataset']}}:::{{trait['symbol']}}:::{{trait['description']}}:::{{trait['location']}}:::{{trait['mean_expr']}}:::{{trait['max_lrs']}}:::{{trait['data_hmac']}}" + id="trait_{{trait['data_hmac']}}" + class="selector-element" /> + <label for="trait_{{trait['data_hmac']}}" class="label-element"> + <span class="trait-dataset" data-title="dataset">{{trait["dataset"]}}</span> + <span class="trait-name" data-title="name">{{trait["name"]}}</span> + <span class="trait-symbol" data-title="symbol">{{trait["symbol"]}}</span> + <span class="trait-description" data-title="description">{{trait["description"]}}</span> + <span class="trait-locatin" data-title="location">{{trait["location"]}}</span> + <span class="trait-mean-expr" data-title="mean">{{"%0.3f" % trait["mean_expr"]|float}}</span> + <span class="trait-max-lrs" data-title="max LRS">{{trait["max_lrs"]}}</span> + </label> +</div> +{%endfor%} diff --git a/wqflask/wqflask/user_login.py b/wqflask/wqflask/user_login.py index ff77982f..45a12f77 100644 --- a/wqflask/wqflask/user_login.py +++ b/wqflask/wqflask/user_login.py @@ -177,8 +177,6 @@ def verify_email(): @app.route("/n/login", methods=('GET', 'POST')) def login(): params = request.form if request.form else request.args - logger.debug("in login params are:", params) - if not params: # ZS: If coming to page for first time from utility.tools import GITHUB_AUTH_URL, GITHUB_CLIENT_ID, ORCID_AUTH_URL, ORCID_CLIENT_ID external_login = {} diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py index be3d9238..b2cf95fb 100644 --- a/wqflask/wqflask/views.py +++ b/wqflask/wqflask/views.py @@ -1,6 +1,4 @@ """Main routing table for GN2""" - -import MySQLdb import array import base64 import csv @@ -45,6 +43,7 @@ from flask import send_from_directory from flask import redirect from flask import url_for from flask import send_file +from flask import jsonify # Some of these (like collect) might contain endpoints, so they're still used. # Blueprints should probably be used instead. @@ -68,7 +67,9 @@ from wqflask.correlation.correlation_gn3_api import compute_correlation from wqflask.correlation_matrix import show_corr_matrix from wqflask.correlation import corr_scatter_plot # from wqflask.wgcna import wgcna_analysis -# from wqflask.ctl import ctl_analysis +from wqflask.ctl import ctl_analysis +from wqflask.ctl.gn3_ctl_analysis import run_ctl + from wqflask.wgcna.gn3_wgcna import run_wgcna from wqflask.snp_browser import snp_browser from wqflask.search_results import SearchResultPage @@ -120,6 +121,7 @@ def shutdown_session(exception=None): db = getattr(g, '_database', None) if db is not None: db_session.remove() + g.db.dispose() g.db = None @@ -354,6 +356,22 @@ def ctl_setup(): return render_template("ctl_setup.html", **request.form) + +@app.route("/ctl_results", methods=["POST"]) +def ctl_results(): + + ctl_results = run_ctl(request.form) + return render_template("gn3_ctl_results.html", **ctl_results) + + +@app.route("/ctl_network_files/<file_name>/<file_type>") +def fetch_network_files(file_name, file_type): + file_path = f"{file_name}.{file_type}" + + file_path = os.path.join("/tmp/",file_path) + + return send_file(file_path) + @app.route("/intro") def intro(): doc = Docs("intro", request.args) @@ -1071,4 +1089,3 @@ def display_diffs_users(): return render_template("display_files_user.html", files=files) - |