Qiita is pip installable, but depends on specific versions of python and non-python packages that must be installed first. We strongly recommend using virtual environments; a popular solution to manage them is miniconda, a lightweight version of the virtual environment, python distribution, and package manager anaconda. These instructions will be based on miniconda.
These instructions were tested successfully by @HannesHolste on Mac OS X El Capitan 10.11.4 and a clean installation of Ubuntu 12.04 LTS (precise) using conda v4.0.7 and cloning from qiita master branch commit #a9e4e03 on 5/27/2016.
Download the appropriate installer here corresponding to your operating system and execute it.
Next, ensure conda is up-to-date.
conda update condaSetup a virtual environment in conda named qiita by executing the following:
conda create --yes --name qiita python=2.7 pip nose flake8 pyzmq networkx pyparsing natsort mock future libgfortran seaborn 'pandas>=0.18' 'matplotlib>=1.1.0' 'scipy>0.13.0' 'numpy>=1.7' 'h5py>=2.3.1' hdf5If you receive an error message about conda being unable to find one of the specified packages in its repository, you will have to manually find the appropriate conda channel that they belong to (see troubleshooting section below).
Though these instructions use the newly created qiita conda environment, the concepts apply to managing conda environments in general.
Activate your newly created virtual environment for qiita whenever you want to run or develop for it:
source activate qiitaAfter activating your new environment, you should see this kind of output when you run which python, indicating that the python command now refers to the python binary in your new virtual environment, rather than a previous global default such as /usr/bin/python. For example, assuming you installed miniconda in /Users/your_username/:
$ which python
/Users/your_username/miniconda2/envs/qiita/bin/python
(qiita)
If you don't see this output, your $PATH variable was setup incorrectly or you haven't restarted your shell. Consult the conda documentation.
As long as you are in the active qiita environment, commands such as pip install or python will refer to and be contained within this virtual environment.
When you want to deactivate your current conda environment, e.g. to return to a different project or back to your global python and pip packages, run:
source deactivate- PostgreSQL (minimum required version 9.3.5, we have tested most extensively with 9.3.6)
- redis-server (we have tested most extensively with 2.8.17)
- [webdis] (https://github.com/nicolasff/webdis) (latest version should be fine but we have tested the most with 9ee6fe2 - Feb 6, 2016)
There are several options to install these dependencies depending on your needs:
- We suggest installing the exact versions in these instructions by following the instructions of the provided links and making them globally available in your machine. However, this might interfere with other apps that might require different versions.
- Alternatively, you could install them via conda. However, the conda repository may not have the exact versions of these dependencies that you want.
- You could setup a full development environment with Vagrant, and continue using conda under it to primarily manage python dependencies. Note that we don't cover Vagrant in these instructions.
For Mac OS X, you can either install postgres through the Postgres.app. These instructions were tested with the Postgres.app v9.3.
You'll then need to ensure that the postgres binaries (for example, psql) are in your executable search path ($PATH environment variable). If you are using Postgres.app on OS X, you can do this by running the following, though you may have to replace~/.bash_profilewith ~/.zshrc if you're using zshell rather than the built-in bash, and you may have to change the version number Versions/9.3/ to the exact one that you are installing:
echo 'export PATH="$PATH:/Applications/Postgres.app/Contents/Versions/9.3/bin/"' >> ~/.bash_profile
source ~/.bash_profileAssuming you have homebrew installed, you can install redis-server v2.8.x as follows:
brew update
brew install homebrew/versions/redis28Note that this is the only package that assumes that Qiita is already installed (due to library dependencies). Also, that the general suggestion is to have 2 redis servers running, one for webdis/redbiom and the other for Qiita. The reason for multiple redis servers is so that the redbiom cache can be flushed without impacting the operation of the qiita server itself.
The following instructions install, compile and pre-populates the redbiom redis DB so we assume that redis is running on the default port and that Qiita is fully installed as the redbiom package is installed with Qiita.
git clone https://github.com/nicolasff/webdis
pushd webdis
make
./webdis &
popd
# note that this assumes that Qiita is already installed
fp=`python -c 'import qiita_db; print qiita_db.__file__'`
qdbd=`dirname $fp`
redbiom admin scripts-writable
redbiom admin create-context --name "qiita-test" --description "qiita-test context"
redbiom admin load-sample-metadata --metadata ${qdbd}/support_files/test_data/templates/1_19700101-000000.txt
redbiom admin load-sample-metadata-search --metadata ${qdbd}/support_files/test_data/templates/1_19700101-000000.txt
redbiom admin load-sample-data --table ${qdbd}/support_files/test_data/processed_data/1_study_1001_closed_reference_otu_table.biom --context qiita-test --tag 1
Clone the git repository with the development version of Qiita into your current directory:
git clone https://github.com/biocore/qiita.gitNavigate to the cloned directory and ensure your conda environment is active:
cd qiita
source activate qiitaInstall Qiita (this occurs through setuptools' setup.py file in the qiita directory):
pip install -e . --process-dependency-linksAt this point, Qiita will be installed and the system will start. However,
you will need to install plugins in order to process any kind of data. For a list
of available plugins, visit the Qiita Spots
github organization. Currently, the Type Plugins
qtp-biom and
qtp-target-gene as well as
the Plugin qp-target-gene are
required. To install these plugins, simply execute
pip install git+https://github.com/qiita-spots/qiita_client
pip install git+https://github.com/qiita-spots/qtp-biom
pip install git+https://github.com/qiita-spots/qtp-target-gene
pip install git+https://github.com/qiita-spots/qp-target-geneAfter these commands are executed, you will need to:
Move the Qiita sample configuration file to a different directory by executing:
cp ./qiita_core/support_files/config_test.cfg ~/.qiita_config_test.cfgSet your QIITA_CONFIG_FP environment variable to point to that file (into .bashrc if using bash; .zshrc if using zshell):
echo "export QIITA_CONFIG_FP=$HOME/.qiita_config_test.cfg" >> ~/.bashrc
source ~/.bashrc
# Re-enable conda environment for qiita
source activate qiitaUpdate paths in the newly copied configuration file to match your settings, e.g. replace /home/travis/ with your user home directory.
Next, make a test environment:
qiita-env make --no-load-ontologiesFinally, redbiom relies on the REDBIOM_HOST environment variable to set the URL to query. By default is set to Qiita redbiom public repository. To change it you could do:
export REDBIOM_HOST=http://my_host.com:7379Start postgres (instructions vary depending on operating system and install method).
Next, start redis server (the command may differ depending on your operating system and install location):
redis-serverStart the qiita server:
# this builds documentation before starting the server
# alternatively: qiita pet webserver --no-build-docs start
qiita pet webserver startIf all the above commands executed correctly, you should be able to go to http://localhost:21174 in your browser, to login use [email protected] and password as the credentials. (In the future, we will have a single user mode that will allow you to use a local Qiita server without logging in. You can track progress on this on issue #920.)
This usually happens after an incomplete run of the qiita-env setup procedure. Drop the postgres table named qiita_test and retry setting up qiita-env as per instructions above:
$ psql
DROP DATABASE qiita_test;\q
# now re-run qiita-env make --no-load-ontologiesIf you get a traceback similar to this one when starting up Qiita
File "/home/jorge/code/qiita/scripts/qiita-env", line 71, in make
make_environment(load_ontologies, download_reference, add_demo_user)
File "/home/jorge/code/qiita/qiita_db/environment_manager.py", line 180, in make_environment
admin_conn = SQLConnectionHandler(admin='admin_without_database')
File "/home/jorge/code/qiita/qiita_db/sql_connection.py", line 120, in __init__
self._open_connection()
File "/home/jorge/code/qiita/qiita_db/sql_connection.py", line 155, in _open_connection
raise RuntimeError("Cannot connect to database: %s" % str(e))
RuntimeError: Cannot connect to database: fe_sendauth: no password suppliedit can be solved by setting a password for the database (replace postgres with the actual name of the database qiita is configured to use):
$ psql postgres
ALTER USER postgres PASSWORD 'supersecurepassword';
\q
It might be necessary to restart postgresql: sudo service postgresql restart.
Furthermore, the pg_hba.conf file can be modified to change authentication type for local users to trust (rather than, e.g., md5) but we haven't tested this solution.
Error: You need to install postgresql-server-dev-X.Y for building a server-side extension or libpq-dev for building a client-side application.
Run the following. Note that for older ubuntu versions (< 14), these commands may install an older version of postgres (< 9.3) which may cause trouble. Ensure you're downloading and installing postgresql 9.3 via a different apt repository as per instructions here.
sudo apt-get update
sudo apt-get install postgresql
sudo apt-get install postgresql-contrib
sudo apt-get install libpq-devMissing dependency. Run the following and then re-run whatever command failed earlier:
sudo apt-get install -y libffi-devfrom PyQt4 import QtCore, QtGui ImportError: libSM.so.6: cannot open shared object file: No such file or directory
sudo apt-get install -y python-qt4ERROR: could not open extension control file "/usr/share/postgresql/9.3/extension/uuid-ossp.control": No such file or directory
sudo apt-get install postgresql-contrib
# or: sudo apt-get install postgresql-contrib-9.3 depending on your OS and apt repository versionsPlease note that the following notes are related to dependencies that Qiita does not maintain. As such, we strongly suggest you consult their official documentation to resolve issues. We cannot guarantee the accuracy of the suggestions below.
If running on OS X you should make sure that the Xcode and the Xcode command line tools are installed.
If you are using Postgres.app 9.3 on OSX, a database user will be created with your system username. If you want to use this user account, change the USER and ADMIN_USER settings to your username under the [postgres] section of your Qiita config file.
If you are getting an error message running conda create, complaining about missing packages, then you might have to locate the appropriate conda channels and re-run conda create with the --channel flag:
For example, if libgfortran is missing:
# Install anaconda-client to search repositories
conda install anaconda-client
# Now search for missing package
anaconda search -t conda libgfortran
Using Anaconda Cloud api site https://api.anaconda.org
Run 'anaconda show <USER/PACKAGE>' to get more details:
Packages:
Name | Version | Package Types | Platforms
------------------------- | ------ | --------------- | ---------------
OpenMDAO/libgfortran | 4.8.3 | conda | linux-32, osx-64
aetrial/libgfortran | | conda | linux-64
....etc....
Install the the appropriate channel name that corresponds to your platform. For example, for Mac OS X 64-bit this would be:
conda install --channel https://conda.anaconda.org/OpenMDAO libgfortran
Now you can re-run your conda create command:
conda create [previous parameters go here] --channel OpenMDAO/libgfortran
As a general rule of thumb you will want to have an updated version of Python
2.7 and an updated version of pip (pip install -U pip will do the trick).
H5PY is known to cause a few problems, however their installation instructions are a great resource to troubleshoot your system in case any of the steps above fail.
In the event that you get _tkinter.TclError: no display name and no $DISPLAY environment variable error while trying to generate figures that rely on matplotlib, you should create a matplotlib rc file. This configuration file should have backend : agg. For more information you should visit the matplotlib configuration and troubleshooting page.