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some fixes (#3341)
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* some fixes

* flake8

* 2023.12

* addressing @charles-cowart comments
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antgonza committed Dec 18, 2023
1 parent 30eb772 commit 02dc7a0
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14 changes: 14 additions & 0 deletions CHANGELOG.md
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# Qiita changelog

Version 2023.12
---------------

* The sample and preparation information pages will display the timestamp of their last update.
* Added a ProcessingJob.complete_processing_job method to retrieve the job that is completing the current job.
* Added a ProcessingJob.trace method to trace all the jobs of a processing_job.
* Analyses now accept SLURM reservation's via the GUI; this will be [helpful for workshops or classes](https://qiita.ucsd.edu/static/doc/html/faq.html#are-you-planning-a-workshop-or-class).
* Admins can now add per-user-level SLURM submission parameters via the DB; this is helpful to prioritize wet-lab and admin jobs.
* Workflow definitions can now use sample or preparation information columns/values to differentiate between them.
* Updated the Adapter and host filtering plugin (qp-fastp-minimap2) to v2023.12 addressing a bug in adapter filtering; [more information](https://qiita.ucsd.edu/static/doc/html/processingdata/qp-fastp-minimap2.html).
* Other fixes: [3334](https://github.com/qiita-spots/qiita/pull/3334), [3338](https://github.com/qiita-spots/qiita/pull/3338). Thank you @sjanssen2.
* The internal Sequence Processing Pipeline is now using the human pan-genome reference, together with the GRCh38 genome + PhiX and CHM13 genome for human host filtering.


Version 2023.10
---------------

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2 changes: 1 addition & 1 deletion qiita_core/__init__.py
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Expand Up @@ -6,4 +6,4 @@
# The full license is in the file LICENSE, distributed with this software.
# -----------------------------------------------------------------------------

__version__ = "2023.10"
__version__ = "2023.12"
2 changes: 1 addition & 1 deletion qiita_db/__init__.py
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Expand Up @@ -27,7 +27,7 @@
from . import user
from . import processing_job

__version__ = "2023.10"
__version__ = "2023.12"

__all__ = ["analysis", "artifact", "archive", "base", "commands",
"environment_manager", "exceptions", "investigation", "logger",
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12 changes: 10 additions & 2 deletions qiita_db/metadata_template/prep_template.py
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Expand Up @@ -851,10 +851,18 @@ def _get_predecessors(workflow, node):
starting_job = None
pt_artifact = self.artifact.artifact_type

workflows = []
all_workflows = [wk for wk in qdb.software.DefaultWorkflow.iter()]
# are there any workflows with parameters?
check_requirements = False
default_parameters = {'prep': {}, 'sample': {}}
if [wk for wk in all_workflows if wk.parameters != default_parameters]:
check_requirements = True
ST = qdb.metadata_template.sample_template.SampleTemplate
for wk in qdb.software.DefaultWorkflow.iter():
workflows = []
for wk in all_workflows:
if wk.artifact_type == pt_artifact and pt_dt in wk.data_type:
if check_requirements and wk.parameters == default_parameters:
continue
wk_params = wk.parameters
reqs_satisfied = True

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14 changes: 12 additions & 2 deletions qiita_db/processing_job.py
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Expand Up @@ -999,7 +999,9 @@ def submit(self, parent_job_id=None, dependent_jobs_list=None):
qdb.sql_connection.TRN.commit()

job_dir = join(qdb.util.get_work_base_dir(), self.id)
software = self.command.software
command = self.command
software = command.software
cname = command.name
plugin_start_script = software.start_script
plugin_env_script = software.environment_script

Expand All @@ -1011,7 +1013,15 @@ def submit(self, parent_job_id=None, dependent_jobs_list=None):
# case where we are going to execute some command and then wait for the
# plugin to return their own id (first implemented for
# fast-bowtie2+woltka)
if 'ENVIRONMENT' in plugin_env_script:
#
# This is the hardcoded lines described in issue:
# https://github.com/qiita-spots/qiita/issues/3340
# the idea is that in the future we shouldn't check specific command
# names to know if it should be executed differently and the
# plugin should let Qiita know that a specific command should be ran
# as job array or not
cnames_to_skip = {'Calculate Cell Counts'}
if 'ENVIRONMENT' in plugin_env_script and cname not in cnames_to_skip:
# the job has to be in running state so the plugin can change its`
# status
with qdb.sql_connection.TRN:
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2 changes: 1 addition & 1 deletion qiita_pet/__init__.py
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Expand Up @@ -6,4 +6,4 @@
# The full license is in the file LICENSE, distributed with this software.
# -----------------------------------------------------------------------------

__version__ = "2023.10"
__version__ = "2023.12"
2 changes: 1 addition & 1 deletion qiita_pet/handlers/api_proxy/__init__.py
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Expand Up @@ -38,7 +38,7 @@
from .user import (user_jobs_get_req)
from .util import check_access, check_fp

__version__ = "2023.10"
__version__ = "2023.12"

__all__ = ['prep_template_summary_get_req', 'data_types_get_req',
'study_get_req', 'sample_template_filepaths_get_req',
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Expand Up @@ -45,7 +45,7 @@ Shotgun sequencing
------------------

Qiita currently has one active shotgun metagenomics data analysis pipeline: a per sample
bowtie2 alignment step with Woltka classification using either the WoLr1, WoLr2 (default) or RS210 databases.
bowtie2 alignment step with Woltka classification using either the WoLr2 (default) or RS210 databases.
Below you will find more information about each of these options.

.. note::
Expand Down Expand Up @@ -87,7 +87,7 @@ Note that the command produces up to 6 output artifacts based on the aligner and

- Alignment Profile: contains the raw alignment file and the no rank classification BIOM table
- Per genome Predictions: contains the per genome level predictions BIOM table
- Per gene Predictions: Only WoLr1 & WoLr2, contains the per gene level predictions BIOM table
- Per gene Predictions: Only WoLr2, contains the per gene level predictions BIOM table
- KEGG Pathways: Only WoLr2, contains the functional profile
- KEGG Ontology (KO): Only WoLr2, contains the functional profile
- KEGG Enzyme (EZ): Only WoLr2, contains the functional profile
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4 changes: 2 additions & 2 deletions qiita_pet/templates/workflows.html
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Expand Up @@ -73,9 +73,9 @@ <h3>Recommended Default Workflows</h3>
default Earth Microbiome Project protocol and so assumes the uploaded data are multiplexed sequences with the reversed barcodes in your mapping file and index sequence
file (<a href="https://earthmicrobiome.org/protocols-and-standards/" target="_blank">see here</a> for more details). Thus, if the protocol does not apply to your data
you can still use the Default Workflow, however, you should first manually process your data using the appropriate steps until you have a defined step; in our example,
demultiplexed your reads. After demultiplexing the Default Workflow is safe to use with any protocol.
demultiplex your reads. After demultiplexing, the Default Workflow is safe to use with any protocol.
<br/><br/>
If you have already manually performed one of the processing steps in the Defaul Workflow pipeline, the "Add Default Workflow" button will not re-select those steps but
If you have already manually performed one of the processing steps in the Default Workflow pipeline, the "Add Default Workflow" button will not re-select those steps but
instead will only select any remaining steps that have not been completed. You can also add additional workflows on top of the recommended Default Workflow at any time.
<br/><br/>
Note that this is not a full inclusive list of data types accepted by Qiita but only those that have a defined workflow.
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2 changes: 1 addition & 1 deletion qiita_ware/__init__.py
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Expand Up @@ -6,4 +6,4 @@
# The full license is in the file LICENSE, distributed with this software.
# -----------------------------------------------------------------------------

__version__ = "2023.10"
__version__ = "2023.12"
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -10,7 +10,7 @@
from setuptools import setup
from glob import glob

__version__ = "2023.10"
__version__ = "2023.12"


classes = """
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