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#+STARTUP: inlineimages
#+TITLE: GeneNetwork Quality Control Application
#+OPTIONS: ^:{}
** Project Goals
The project seeks to handle the checking of data files for correct syntax and
other errors before allowing the code to be uploaded.
The files are *"tab-separated"* values (TSV) files, and must conform to the
following criteria:
*** Line-Level Checks
- Must be tab-separated
-
*** Cell-Level Checks
- No empty data cells
- no data cells with spurious characters like `eeeee`, `5.555iloveguix`, etc.
- decimal numbers must conform to the following criteria:
- - when checking an average file decimal numbers must contain exactly three places to the right side of the dot.
- - when checking a standard error file decimal numbers must contain six or greater places to the right side of the dot.
- - there must be a number to the left side of the dot (e.g. 0.55555 is allowed but .55555 is not).
- check line endings to make sure they are Unix and not DOS
- check strain headers against a source of truth (see strains.csv)
** Guix Channel
This repository can be used as a guix channel.
#+BEGIN_SRC scheme
(channel
(name 'gnqc-py
(url "https://gitlab.com/fredmanglis/gnqc_py.git")
(introduction
(make-channel-introduction
"0d5dc5489837957e3fab513b9dcc550eddfe53ca"
(openpgp-fingerprint
"F370 F409 854B 90E3 52F3 AB01 362B 0BB8 B81D 5A42"))))
#+END_SRC
** Configuration
This system requires that some configurations be in place to operate correctly.
The following sections detail the configuration variables.
*** System Configurations
**** *Config*: =LOG_LEVEL=
*Default*: WARNING
We use logging to track the operation of the system, noting major events, and
conditions in the system as it runs. The =LOG_LEVEL= variable controls how much
of that information we want to track, and the severity of said information.
**** *Config*: =SECRET_KEY=
*Mandatory*
This is a key used for signing cookies for more secure tamper-proof sessions.
Without it, Flask will generate a random key for each running thread/process of
the system, leading to some really difficult to debug consequences.
/Avoid the aggravation! Just set a secret key and be done with it/.
For some more information on Flask's =SECRET_KEY= have a look at the following
resources:
- https://flask.palletsprojects.com/en/3.0.x/config/#SECRET_KEY
- https://flask.palletsprojects.com/en/3.0.x/quickstart/#sessions
- https://stackoverflow.com/a/48596852
**** *Config*: `UPLOAD_FOLDER`
*Default*: /tmp/qc_app_files
This is the directory where all uploaded files are stored.
Files are to be stored here temporary, while they are still being processed.
Down the line, we will probably have a different location for files that have
passed QC and whose data has been accepted into the system.
*Development Note*: Other files we store here that we will need to extract to a
separate configuration are:
- Files with outputs from background processes triggered by this system
- /list others hereā¦/
**** *Config*: =SQL_URI=
*Mandatory*
This defines the connection URI to the database.
This is a *MANDATORY* configuration variable: without it, the uploader will not
work as expected, if at all.
Presently, we use the MariaDB database, and thus, the URI to the database will
take the form
#+BEGIN_EXAMPLE
mysql://<username>:<password>@<hostname-or-ip>:<port>/<database-name>
#+END_EXAMPLE
The parts of the URI of note are:
- =<username>=: This is the username to use to connect to the MariaDB server
- =<password>=: A password to authenticate the user with the MariaDB server
- =<hostname-or-ip>=: The domain name or IP address of the computer hosting the
MariaDB server
- =<port>=: The port to connect to for the MariaDB server, on the computer
hosting MariaDB
- =<database-name>=: The database to connect to
*** Redis Configurations
**** *Config*: =REDIS_URL=
*Default*: redis://
This is the connection URI to the Redis server. The default connection parameter
above tries to connect to a redis server on the same host that the uploader is
running on.
*Note to Fred*: We should probably rename this =REDIS_URI= for consistency.
The Redis connection URI has the general form:
#+BEGIN_EXAMPLE
redis://<username>:<password>@<hostname-or-ip>:<port>/<dbnum>
#+END_EXAMPLE
and the parts of the URI of note are:
- =<username>=: This is the username to use to connect to the Redis server
- =<password>=: A password to authenticate the user with the Redis server
- =<hostname-or-ip>=: The domain name or IP address of the computer hosting the
Redis server
- =<port>=: The port to connect to for the Redis server, on the computer
hosting Redis
- =<dbnum>=: A number identifying the database to connect to
Here is [a resource](https://github.com/lettuce-io/lettuce-core/wiki/Redis-URI-and-connection-details)
on other ways to construct Redis connection URIs.
**** *Config*: =JOBS_TTL_SECONDS=
*Default*: 1209600 seconds (14 days)
This is the "Time-To-Live" for the keys in redis. Most of the keys we store in
Redis from this system do not need to be retained forever. The TTL determines
how long (in seconds) to keep the keys around for.
**** *Config*: =GNQC_REDIS_PREFIX=
*Default*: GNQC
This system could find itself sharing a Redis server with other (related)
applications such as [GN2](https://github.com/genenetwork/genenetwork2) and
[GN3](https://github.com/genenetwork/genenetwork3).
The =GNQC_REDIS_PREFIX= configuration is prepended to the keys being saved by
this system to redis. For example, if ~GNQC_REDIS_PREFIX=GNQC~ and you want to
set up a hash with the key =users=, the effective key in redis will be
~GNQC:users~.
** Development
For reproducibility, this project is developed using guix.
To launch a guix shell for development, do
#+BEGIN_SRC shell
guix shell --container --network --share=/some/host/directory=/the/upload/directory --development --file=guix.scm
#+END_SRC
which environment that is isolated from the rest of your system.
We share a host directory with the container (that is writeable by the user that
started the web application) to serve as the upload directory for the
application.
*** Run the CLI version
Run the CLI version of the application, with
#+BEGIN_SRC shell
python3 -m scripts.qc --help
#+END_SRC
*** Run the web version
You need to have a running Redis instance, and configure the application to
connect to it.
To run the web-version of the qc app in development mode, you need to set up a
few environment variables
#+BEGIN_SRC shell
export FLASK_APP=wsgi.py
export FLASK_ENV=development
export QCAPP_INSTANCE_PATH=/path/to/directory/with/config.py
#+END_SRC
then you can run the application with
#+BEGIN_SRC shell
flask run
#+END_SRC
*** Checks
To run the linter over the code base, run:
#+BEGIN_SRC shell
pylint setup.py wsgi.py tests quality_control qc_app r_qtl scripts
#+END_SRC
To check for correct type usage in the application, run:
#+BEGIN_SRC shell
mypy --show-error-codes .
#+END_SRC
Run unit tests with:
#+BEGIN_SRC shell
$ export QCAPP_CONF=</path/to/configuration/file.py>
$ pytest -k unit_test
#+END_SRC
To run ALL tests (not just unit tests):
#+BEGIN_SRC shell
$ export QCAPP_CONF=</path/to/configuration/file.py>
$ pytest
#+END_SRC
** Deploying/Installing QC
**NOTE**: All tests should pass before you deploy the uploader!
*** CLI: Docker
Generate the docker image file with
#+BEGIN_SRC shell
guix pack -f docker -S /bin=bin genenetwork-qc
#+END_SRC
That creates the image file with a path such as:
#+BEGIN_EXAMPLE
/gnu/store/ibz5qlwzv0lyply2by7422z0c6jfaa6s-genenetwork-qc-docker-pack.tar.gz
#+END_EXAMPLE
You can now load this file into docker withe
#+BEGIN_SRC shell
docker load < /gnu/store/ibz5qlwzv0lyply2by7422z0c6jfaa6s-genenetwork-qc-docker-pack.tar.gz
#+END_SRC
and from there, you can run the application as detailed in the
[[#run-cli-version][Running QC: CLI-Version]] section below
*** CLI: Guix
The application can be installed using guix by pointing to the [[./guix.scm][guix.scm]] file as
follows:
#+BEGIN_SRC shell
guix package [-p /path/to/qc/profile] -f guix.scm
#+END_SRC
*** Web-Version
**** TODO Document deployment details for the web version of GeneNetwork QC better
** Running QC
*** Command-Line Version
:PROPERTIES:
:CUSTOM_ID: run-cli-version
:END:
Install the application as shown in the /Installing QC/ section above.
To run qc against a file, the syntax is:
#+BEGIN_SRC shell
qc [--strainsfile <strainsfile-path>] [--verbose] <filetype> <filepath>
#+END_SRC
where
- ~<filetype>~ is one of "*average*" or "*standard-error*"
- ~<filepath>~ is either an absolute path to the file, or a path relative to the
current working directory
- if the ~--strainsfile~ option is not provided, it will default to the one in
the root directory of this repository
- the ~--verbose~ option is a flag, defaulting to ~False~ that controls the
display of optional progress messages
To view the usage information for the application, run
#+BEGIN_SRC shell
qc --help
#+END_SRC
*** Web Version
**** TODO Document usage of the web-UI version of the application
*** Docker
Download the docker image file from [[https://git.genenetwork.org/fredmanglis/gnqc_py/releases][the releases page]] of the application and
load it to docker with something like:
#+BEGIN_SRC shell
docker load < genenetwork-qc-0.0.1-1-oxu472i-docker.tar.gz
#+END_SRC
replacing ~genenetwork-qc-0.0.1-1-oxu472i.tar.gz~ with the actual name of the
release you downloaded
Run the application with something like:
#+BEGIN_SRC shell
docker run -v /path/to/qnqc_py/tests/test_data:/data -ti \
genenetwork-qc:latest /bin/qc average /data/average_error_at_end_200MB.tsv
#+END_SRC
replacing ~/path/to/qnqc_py/tests/test_data~ with the path to the folder where
the file you want to check is in, and ~average_error_at_end_200MB.tsv~ with the
name of the file you want to check for errors.
|