The sapporo-service is a standard implementation conforming to the Global Alliance for Genomics and Health (GA4GH) Workflow Execution Service (WES) API specification.
Project description
sapporo-service
The sapporo-service is a standard implementation conforming to the Global Alliance for Genomics and Health (GA4GH) Workflow Execution Service (WES) API specification.
Also, we have extended the API specification. Please check SwaggerHub - sapporo-wes.
One of sapporo-service's features is the abstraction of workflow engines, making it easy to convert various workflow engines into WES. Currently, the following workflow engines have been confirmed to work.
- cwltool
- nextflow
- Toil (experimental)
- cromwell
- snakemake
- ep3 (experimental)
- StreamFlow (experimental)
Another feature of the sapporo-service is the mode that can only execute workflows registered by the system administrator. This feature is useful when building a WES in a shared HPC environment.
Install and Run
The sapporo-service supports Python 3.7 or newer.
$ pip3 install sapporo
$ sapporo
Docker
You can also launch the sapporo-service with Docker.
To use Docker-in-Docker (DinD), you must mount docker.sock
, /tmp
, etc.
# Launch
$ docker compose up -d
# Launch confirmation
$ docker compose logs
Usage
The help for the sapporo-service startup command is as follows.
$ sapporo --help
usage: sapporo [-h] [--host] [-p] [--debug] [-r] [--disable-get-runs]
[--disable-workflow-attachment]
[--run-only-registered-workflows] [--service-info]
[--executable-workflows] [--run-sh] [--url-prefix]
Implementation of a GA4GH workflow execution service that can easily support
various workflow runners.
optional arguments:
-h, --help show this help message and exit
--host Host address of Flask. (default: 127.0.0.1)
-p , --port Port of Flask. (default: 1122)
--debug Enable debug mode of Flask.
-r , --run-dir Specify the run dir. (default: ./run)
--disable-get-runs Disable endpoint of `GET /runs`.
--disable-workflow-attachment
Disable `workflow_attachment` on endpoint `Post
/runs`.
--run-only-registered-workflows
Run only registered workflows. Check the registered
workflows using `GET /service-info`, and specify
`workflow_name` in the `POST /run`.
--service-info Specify `service-info.json`. The
supported_wes_versions, system_state_counts and
workflows are overwritten in the application.
--executable-workflows
Specify `executable-workflows.json`.
--run-sh Specify `run.sh`.
--url-prefix Specify the prefix of the url (e.g. --url-prefix /foo
-> /foo/service-info).
Operating Mode
There are two startup modes in the sapporo-service.
- Standard WES mode (Default)
- Execute only registered workflows mode
These are switched with the startup argument --run-only-registered-workflows
.
It can also be switched by giving True
or False
to the environment variable SAPPORO_ONLY_REGISTERED_WORKFLOWS
.
Startup arguments take priority over environment variables.
Standard WES mode
As the API specifications, please check SwaggerHub - sapporo-wes - RunWorkflow.
When using the sapporo-service, It is different from the standard WES API specification; you must specify workflow_engine_name
in the request parameter of POST /runs
.
We think this part is a standard WES API specification mistake, so we request fixing it.
Execute only registered workflows mode
As the API specifications for executing only registered workflows mode, please check SwaggerHub - sapporo-wes.
It conforms to the standard WES API. The changes are as follows.
- Executable workflows are returned by
GET /executable_workflows
. - Specify
workflow_name
instead ofworkflow_url
inPOST /runs
.
The executable workflows are managed at executable_workflows.json
.
Also, the schema for this definition is executable_workflows.schema.json
. The default location of these files is under the application directory of the sapporo-service. You can override them using the startup argument --executable-workflows
or the environment variable SAPPORO_EXECUTABLE_WORKFLOWS
.
For more information, see SwaggerUI - sapporo-wes - GetExecutableWorkflows.
Run Dir
The sapporo-service manages the submitted workflows, workflow parameters, output files, etc., on the file system.
You can override the location of run dir by using the startup argument --run-dir
or the environment variable SAPPORO_RUN_DIR
.
The run dir structure is as follows. You can initialize and delete each run by physical deletion with rm
.
$ tree run
.
└── 29
└── 29109b85-7935-4e13-8773-9def402c7775
├── cmd.txt
├── end_time.txt
├── exe
│ └── workflow_params.json
├── exit_code.txt
├── outputs
│ ├── ERR034597_1.small.fq.trimmed.1P.fq
│ ├── ERR034597_1.small.fq.trimmed.1U.fq
│ ├── ERR034597_1.small.fq.trimmed.2P.fq
│ ├── ERR034597_1.small.fq.trimmed.2U.fq
│ ├── ERR034597_1.small_fastqc.html
│ └── ERR034597_2.small_fastqc.html
├── outputs.json
├── run.pid
├── run_request.json
├── start_time.txt
├── state.txt
├── stderr.log
├── stdout.log
└── workflow_engine_params.txt
├── 2d
│ └── ...
└── 6b
└── ...
The execution of POST /runs
is very complex.
Examples using curl
are provided in GitHub - sapporo/tests/curl.
Please use these as references.
run.sh
We use run.sh
to abstract the workflow engine.
When POST /runs
is called, the sapporo-service fork the execution of run.sh
after dumping the necessary files to run dir. Therefore, you can apply various workflow engines to WES by editing run.sh
.
The default position of run.sh
is under the application directory of the sapporo-service. You can override it using the startup argument --run-sh
or the environment variable SAPPORO_RUN_SH
.
Other Startup Arguments
You can change the host and port used by the application by using the startup arguments (--host
and --port
) or the environment variables SAPPORO_HOST
and SAPPORO_PORT
.
The following three startup arguments and environment variables limit the WES.
--disable-get-runs
SAPPORO_GET_RUNS
:True
orFalse
.- Disable
GET /runs
.- When using WES with an unspecified number of people, by knowing the run_id, you can see the run's contents and cancel the run of other people.
It is difficult to know it in brute force because run_id itself is automatically generated using
uuid4
.
- When using WES with an unspecified number of people, by knowing the run_id, you can see the run's contents and cancel the run of other people.
It is difficult to know it in brute force because run_id itself is automatically generated using
--disable-workflow-attachment
SAPPORO_WORKFLOW_ATTACHMENT
:True
orFalse
.- Disable
workflow_attachment
inPOST /runs
.- The
workflow_attachment
field is used to attach files for executing workflows. - There is a security concern because anything can be attached.
- The
--url-prefix
.SAPPORO_URL_PREFIX
.- Set the URL PREFIX.
- If
--url-prefix /foo/bar
is set,GET /service-info
becomesGET /foo/bar/service-info
.
- If
The contents of the response of GET /service-info
are managed in service-info.json
. The default location of service-info.json
is under the application directory of the sapporo-service. You can override by using the startup argument --service-info
or the environment variable SAPPORO_SERVICE_INFO
.
Generate download link
The sapporo-service provides the file and directory under run_dir as a download link.
For more information, see SwaggerUI - sapporo-wes - GetData.
Parse workflow
The sapporo-service provides the feature to check the workflow document's type, version, and inputs.
For more information, see SwaggerUI - sapporo-wes - GetData.
Generate RO-Crate
The sapporo-service generates RO-Crate from the run_dir after the workflow execution is completed as ro-crate-metadata.json
in the run_dir.
Please see, ro-crate-metadata-example.json as an example.
Development
You can start the development environment as follows.
$ docker compose -f docker-compose.dev.yml up -d --build
$ docker compose -f docker-compose.dev.yml exec app bash
We use flake8, isort, and mypy as a linter.
$ bash ./tests/lint_and_style_check/flake8.sh
$ bash ./tests/lint_and_style_check/isort.sh
$ bash ./tests/lint_and_style_check/mypy.sh
$ bash ./tests/lint_and_style_check/run_all.sh
We use pytest as a tester.
$ pytest .
Add new Workflow Engines to Sapporo Service
Have a look at the run.sh
script called from Python.
This shell script will receive a request with Workflow Engine such as cwltool
and will invoke the run_cwltool
bash function.
That function will execute a Bash Shell command to start a Docker container for the Workflow Engine, and monitor its exit status. For a complete example, please refer to this pull request: https://github.com/sapporo-wes/sapporo-service/pull/29
License
Apache-2.0. See the LICENSE.
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