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R/qtl2 bundles can contain more than one file, of the same type. When
errors are encountered in any of the files, we need to be able to
inform the user which file it is, in addition to the line and column
number.
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Fetch the sample/case names from the database rather than from a
static file in the repository.
Issue:
https://issues.genenetwork.org/issues/quality-control/read-samples-from-database-by-species
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This reverts commit c213b0010c3ddc8d3215adab65bd489a9b884e30.
After a larger discussion with Arthur, Rob and Pjotr present, it was
verified that the strict checks are important. This reverts the commit
that allowed for looser checks.
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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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The number columns in each contents line should be equal to the nember
of columns in the header line.
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Enable the user to abort the background parsing 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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Since progress indication is not part of the parsing, this commit
extracts the progress indication into functions with well defined
input arguments that hide the progress indication logic from the
parsing function.
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Remove the old code that relied on exceptions to parse errors in the
uploaded files.
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- replace `line_number` with `line` and `column_number` with `column`
to save on slot name lengths.
- Fix the type name for the `DuplicateHeading` namedtuple type
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Parse the files with the new functions that return error objects
instead of raising exceptions
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This commit adds a number of functions that return the error object
when an error is found, or `None` otherwise. It avoids the use of
exceptions as control flow constructs.
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- Use a way faster way of parsing the strains file
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Enable the queuing of file parsing jobs, since the files could be
really large and take a long time to parse and present results.
* etc/default_config.py: Add default config for redis server
* manifest.scm: Add redis, and rq as dependencies
* qc_app/__init__.py
* qc_app/jobs.py: module to hold utilities for management of the jobs
* qc_app/parse.py: Enqueue the job - extract file-parsing code to
callable function
* qc_app/templates/base.html: Enable addition of extra meta tags
* qc_app/templates/job_progress.html: template to display job progress
* qc_app/templates/no_such_job.html: template to indicate when a job
id is invalid
* quality_control/parsing.py: Add the total size parsed so far
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* qc_app/entry.py: Pass filetype onward to parsing endpoint
* qc_app/parse.py: Call the function(s) necessary to parse a file
* quality_control/errors.py: Fix argument passing to super class
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Advance the seek position, once we have yielded up an error to causing
an infinite loop in certain conditions, where the `parse_errors`
function ends up resuming the gile in the same position once it
experiences an error.
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To avoid processing all the items in an iterable, the `take` function
is added in this commit. It realised a limited number (specified at
call time) of items from the iterable given.
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Build a function to collect all the parsing errors into a "sequence"
of dict objects containing the issues found.
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Derive a "correct" sample file from an existing sample file with
errors for testing with large files.
Fix issue caught by test.
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* Implement remaining file parsing tests and some helpers functions
needed for ensuring the tests work.
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* Improve tests that ensure parsing fails in case the file has errors
* Add strains.csv file
* Implement minimum viable functionality that passes the implemented tests
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Add dummy failing tests and a stub for the parsing of the files
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Change the exception name to be more descriptive.
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Add a minimum viable implementation that passes the tests for the
function that checks for the validity of the headers
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* Add tests to check for validity of the headers
* Add stubs for the tests
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* Implement the minimum viable functions for the average and standard
error `valid_value` functions.
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