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* quality_control/file_utils.py (new file): extract common file
utilities.
* quality_control/parsing.py (refactor): extract common file
utilities.
* scripts/insert_data.py: Implement data insertion for averages/means
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* qc_app/__init__.py (refactor): Check connection before launching the
application
* qc_app/check_connections.py (new file): Add code to check
connections
* qc_app/db_utils.py (refactor): enable passing the database uri as an
argument to the connection creation function.
* scripts/worker.py (refactor): Use new code to check for redis
connection.
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Use the generic worker script as the interface for launching external
processes.
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Add a generic worker script, whose purpose is:
- to launch the specific worker script
- to capture both stdin and stderr streams and put them on redis
In this way, we can launch redis-aware and redis-unaware workers and
capture their outputs or errors for later processing.
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As preparation for building a new generic worker script, this commit
renames the file validation script from 'worker.py' to
'validate_file.py' so as to ensure the name conforms better to what
the script does.
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Provide user with a confirmation stage where they can verify all the
data before inserting into the database.
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Enable the user to create a new dataset should the need arise.
A few extra fixes were done, such as:
- Provide list of average methods to choose from
- Provide input elements for some expected fields
- Add a new confirmation step before doing the actual data update
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Rather than using the redirect, that led to exposing the study id as a
get parameter, this commit adds an auxilliary step that allows the
user to choose whether to continue with the new study or go back and
select an existing study.
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- Implement UI enabling selection from existing datasets
- Start implementation of UI that enables creation of new dataset
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Enable the creation of the new study, and redirect appropriately with
the new study id.
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- Build code to populate the "Group" and "Tissue" dropdown lists
- Enable redirect with POST data (code 307) in case there is input
error to enable the user fix their errors
- Move hidden fields to macro to reduce repetition
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Implement the select study UI
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Rather than specifying a specific commit in the development guix.scm
this commit has the system automatically get the latest commit and use
that for building the package object.
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Use the builtin mimetypes which gives better results
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The filetype determines the queries to be run to update the database,
therefore, this commit adds filetype information.
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The GeneChipId value is required for the data being inserted, so this
commit provides the UI to enable selection of the chip.
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As part of updating the database with the new data, there is a need to
select the appropriate dataset that the data belongs to, and this
commit provides the UI to assist the user do that.
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The number columns in each contents line should be equal to the nember
of columns in the header line.
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- Ensure errors respond with status code 400
- Ensure error messages are displayed for any invalid zip file that is
uploaded.
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* Ensure error messages are displayed if a request is made to the
'/parse/parse' endpoint with invalid, or missing data.
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- Test upload with missing or invalid data
- Test triggering the parsing of the file
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Enable the user to abort the background parsing of the file.
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Enable the progress status page to show all the errors found at any
point during the processing of the file.
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This reverts commit 960c1a5b831d8761a3e1716f86ded4cc5b67eea0.
After meeting with Arthur, it was confirmed that the CSV file should
not have values in the exponential notation.
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The CLI scripts use "standard-error" so update the web version to fit
in with that.
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Implement code to handle errors in the processing of files.
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