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* gn3/csvcmp.py (extract_invalid_csv_headers): New function.
* tests/unit/test_csvcmp.py: Import "extract_invalid_csv_headers".
(test_extract_invalid_csv_headers_with_some_wrong_headers): Test case for the
above.
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* gn3/csvcmp.py: Import "Any" and "List".
(get_allowable_sampledata_headers): New function.
* tests/unit/test_csvcmp: Import "get_allowable_sampledata_headers".
(test_get_allowable_csv_headers): Test case for the above.
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* gn3/csvcmp.py (csv_diff): Use single quotes. There was a change in 6d39c92
that broke this.
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* gn3/db/sample_data.py (__extract_actions): During updates, make sure that
the strain name is part of the returned string when extracting "actions".
* tests/unit/db/test_sample_data.py: Add test cases for the above.
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* tests/unit/db/test_sample_data.py (delete_sample_data): Add missing return
type for type annotations.
(insert_sample_data): Ditto.
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* gn3/db/sample_data.py (get_sample_data_ids): Re-use "delete_sample_data" and
"insert_sample_data" when updating data; and also add logic for updating
modified data.
* tests/unit/db/test_sample_data.py: Add tests for the above.
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* gn3/db/sample_data.py (__extract_actions): An update on a vector of data can
contain: inserts, deletes and updates. This functions extracts these actions
during an update.
* tests/unit/db/test_sample_data.py (test_extract_actions): Add test-case for
the above.
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* gn3/db/sample_data.py (insert_sample_data)[__insert_data]: Move check to the
main body. With this check here, you have 3 redundant checks. For a successful
insert, it will insert the first value to the `PublishData` table and ignore the
rest of the inserts.
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* gn3/db/sample_data.py: Now constant, `_MAP`.
(delete_sample_data)[__delete_data]: Replace `_map` with `_MAP`.
(insert_sample_data)[__insert_data]: Ditto.
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* gn3/db/sample_data.py (insert_sample_data): Use correct query string. Also,
use CaseAttributeId to determine whether case-attributes were inserted. If so,
do not attempt an insert.
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* gn3/db/sample_data.py (insert_sample_data)[__insert_case_attribute]: Remove
extra parameters.
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* gn3/db/sample_data.py (insert_sample_data): If data already exists in the
table, do not attempt an insert; otherwise, an error will be generated.
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* gn3/csvcmp.py (fill_csv): Update this function to allow empty lists to be
filled with the default value(set in the args).
* tests/unit/test_csvcmp.py (test_fill_csv): Update test to capture above.
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* gn3/db/sample_data (get_sample_data_ids): Add an extra condition that caters
for inserts: during inserts, joins won't work when fetching the strain_id,
publishdata_id, and strain_name. In this case, just create 2 separate queries
to do that work.
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* gn3/csvcmp.py (extract_strain_name): New function.
* gn3/db/sample_data (delete_sample_data): Use the aforementioned function.
(insert_sample_data): Ditto.
* tests/unit/test_csvcmp: Test cases for above.
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* gn3/db/sample_data.py (delete_sample_data): Modify this function to allow
deleting case-attribute values.
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* gn3/db/sample_data.py (insert_sample_data): Modify this function to allow
inserting case-attribute values.
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* gn3/db/sample_data.py (get_sample_data_ids): Extend to also fetch
InbredSetId.
(update_sample_data): Discard the returned value of InbredSetId.
(delete_sample_data): Ditto.
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* gn3/db/sample_data.py: Import Any, Tuple.
(get_sample_data_ids): New function that fetches the strain_id and
publishdata_id of a given data point.
(update_sample_data): Use `get_sample_data_ids`.
(delete_sample_data): Ditto.
(insert_sample_data): Ditto.
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gn3/csvcmp.py (csv_diff): If the diff is empty, don't add an extra key
"Column" to the dictionary.
tests/unit/test_csvcmp (test_csv_diff_only_column_change): Add test-case for
the above.
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Should you try to run `csvdiff` against 2 csv files with either file having a
non-even columns, there will be an error. As such, the csv files need to be
"filled" before running `csvdiff`.
* gn3/csvcmp (csv_diff): For non-even rows in the csv files, fill the csv
rows.
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* gn3/csvcmp.py (fill_csv): Given a csv text with uneven or incomplete fields
whole length are less than width, fill them with a value which defaults to
"x".
* tests/unit/test_csvcmp.py (test_fill_csv): Test cases for the above.
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* gn3/csvcmp.py (remove_insignificant_edits): "all" evaluates all elements and
throws an error if when `abs(float(x) - float(y)) < epsilon` is processed. Use
"and" instead because of it's short-circuiting behaviour.
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When inserting, deleting, or editing case-attributes, we need the column
headers in order to be able to know identify the attribute of interest.
* gn3/csvcmp.py (csv_diff): Add extra "Column" key in returned dict.
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gn3/csvcmp.py: New file
(create_dirs_if_not_exists): From a list of dirs, create them if they don't
exist.
(remove_insignificant_edits): Given a dict with a "Modification" key, remove
edits with "delta < ε".
(csv_diff): Generate a csv_diff using the "csvdiff" tool packaged in guix.
tests/unit/test_csvcmp.py: Add some tests for "gn3/csvcmp.py"
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* gn3/db/traits.py (get_trait_csv_sample_data): Update SQL to fix runtime
errors.
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* gn3/db/traits.py (get_trait_csv_sample_data): Fetch case attribute data if
it exists.
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This reverts commit 710769e84b3bc6a2bdd66effdbac0659272ed511.
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Fix some issues caught by tests due to changes introducing the hand-off of the
partial correlations computations to an external process
Fix some issues due to the changes that introduce context managers for
database connections
Update some tests to take the above two changes into consideration
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Use the `with` context manager to open database connections, so as to ensure
that those connections are closed once the call is completed. This hopefully
avoids the 'too many connections' error
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Long-running computations are handed off to external processes. This avoids
timeouts in the webserver, and also reduces chances of instability of the
webserver.
The results of these long-running computations are needed eventually, so this
commit provides a way to check for the state of the computation, and the
results if any.
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Run the partial correlations code in an external python process decoupling it
from the server and making it asynchronous.
Summary of changes:
* gn3/api/correlation.py:
- Remove response processing code
- Queue partial corrs processing
- Create new endpoint to get results
* gn3/commands.py
- Compose the pcorrs command to be run in an external process
- Enable running of subprocess commands with list args
* gn3/responses/__init__.py: new module indicator file
* gn3/responses/pcorrs_responses.py: Hold response processing code extracted
from ~gn3.api.correlations.py~ file
* scripts/partial_correlations.py: CLI script to process the pcorrs
* sheepdog/worker.py:
- Add the *genenetwork3* path at the beginning of the ~sys.path~ list to
override any GN3 in the site-packages
- Add any environment variables to be set for the command to be run
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correlations
In the original version of the if statement* I believe it was
interpreted as "if a_val and (b_val is not None)". This caused
values of 0 for a_val (the primary trait's values) to be evaluated as
False.
I changed it to compare both a_val and b_val to None. This seems to have
fixed the issue.
* if (a_val and b_val is not None)
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