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During development, we need logging sometimes to help with troubleshooting
problems. This commit provides a module to help set up the logging in a
separate module from the app module.
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* gn3/api/sampledata.py (get_sampledata): New end-point.
* gn3/app.py: Register above end-point.
* gn3/settings.py: Add new conf variable for LMDB.
Signed-off-by: Munyoki Kilyungi <me@bonfacemunyoki.com>
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* gn3/app.py: register top-level error handlers. reorganise oauth2 blueprint.
* gn3/auth/__init__.py: reorganise oaut2 blueprint.
* gn3/auth/authentication/oauth2/views.py: reorganise oauth2 blueprint.
* gn3/auth/authorisation/exceptions.py -> gn3/auth/authorisation/errors.py
* gn3/auth/authorisation/groups.py: rename file/module
* gn3/auth/authorisation/resources.py: rename file/module
* gn3/auth/authorisation/views.py: Add `/register-user` endpoint
* gn3/auth/blueprint.py: reorganise oauth2 blueprint.
* gn3/errors.py: register top-level error handlers.
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* gn3/app.py: import blueprint from authorisation views inorder to get all
endpoints
* gn3/auth/authentication/oauth2/views.py: remove the `/user` endpoint
* gn3/auth/authorisation/views.py: add the `/user` endpoint and add the group
information to the user details.
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Add code to implement the OAuth2 flow.
* Add test fixtures for setting up users and OAuth2 clients
* Add tests for token generation with the "Password Grant" flow
* Fix some issues with test due to changes in the database connection's
row_factory
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* gn3/api/general.py: (dataset_metadata) Delete.
* gn3/api/metadata.py: Import Blueprint, jsonify, current_app,
SPARQLWrapper and get_dataset_metadata.
(metadata): New Blueprint
(jsonify_dataset_metadata): New function/end-point.
* gn3/app.py: Import metadata
(create_app): Register metadata blueprint.
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* gn3/api/search.py: New file.
* gn3/app.py: Register the search blueprint.
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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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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/non-clustered-heatmaps-and-flipping.gmi
* gn3/app.py: setup CORS after all the configuration sources are loaded.
* gn3/settings.py: Parse CORS_ORIGINS from the environment variables.
Enable the CORS_ORIGINS configuration to be set in the environment variables
to give the application some flexibility when launching.
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* Ignore some errors
* Update typing definitions for some portions of code
* Add missing imports
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* Add missing function and module docstrings
* Remove unused imports
* Fix import order
* Rework some code sections to fix issues
* Disable some pylint errors.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/clustering.gmi
* gn3/api/heatmaps.py: Fix bugs in data parsing
* gn3/app.py: enable CORS
* gn3/settings.py: add flask-cors configurations
* guix.scm: Add flask-cors dependency
For easier testing of the heatmaps generation feature, this commit activates
the cross-origin resource sharing for all "localhost" origins.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/clustering.gmi
* Intergrate the heatmap generation code on the /api/heatmaps/clustered
endpoint.
The endpoint should take a json query of the form:
{"traits_names": [ ... ] }
where the "traits_name" value is a list of the full names of traits.
A sample query to the endpoint could be something like the following:
curl -i -X POST "http://localhost:8080/api/heatmaps/clustered" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-d '{
"traits_names": [
"UCLA_BXDBXH_CARTILAGE_V2::ILM103710672",
"UCLA_BXDBXH_CARTILAGE_V2::ILM2260338",
"UCLA_BXDBXH_CARTILAGE_V2::ILM3140576",
"UCLA_BXDBXH_CARTILAGE_V2::ILM5670577",
"UCLA_BXDBXH_CARTILAGE_V2::ILM2070121",
"UCLA_BXDBXH_CARTILAGE_V2::ILM103990541",
"UCLA_BXDBXH_CARTILAGE_V2::ILM1190722",
"UCLA_BXDBXH_CARTILAGE_V2::ILM6590722",
"UCLA_BXDBXH_CARTILAGE_V2::ILM4200064",
"UCLA_BXDBXH_CARTILAGE_V2::ILM3140463"
]
}'
which should respond with a json response containing the raw binary string
for the png format and possibly another for the svg format.
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All default confs should go to one place: gn3/setting.py
* gn3/app.py: Delete get_config. Apply pep-8 formatting.
* gn3/config.py: Delete it. Move conf options to...
* gn3/settings.py: ... here.
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* add file for correlation api
* register initial correlation api
* add correlation package
* add function for getting page data
* delete loading page api
* modify code for correlation
* add tests folder for correlations
* fix error in correlation api
* add tests for correlation
* add tests for correlation loading data
* add module for correlation computations
* modify api to return json when computing correlation
* add tests for computing correlation
* modify code for loading correlation data
* modify tests for correlation computation
* test loading correlation data using api endpoint
* add tests for asserting error in creating Correlation object
* add do correlation method
* add dummy tests for do_correlation method
* delete unused modules
* add tests for creating trait and dataset
* add intergration test for correlation api
* add tests for correlation api
* edit docorrelation method
* modify integration tests for correlation api
* modify tests for show_corr_results
* add create dataset function
* pep8 formatting and fix return value for api
* add more test data for doing correlation
* modify tests for correlation
* pep8 formatting
* add getting formatted corr type method
* import json library
add process samples method for correlation
* fix issue with sample_vals key_error
* create utility module for correlation
* refactor endpoint for /corr_compute
* add test and mocks for compute_correlation function
* add compute correlation function and pep8 formatting
* move get genofile samplelist to utility module
* refactor code for CorrelationResults object
* pep8 formatting for module
* remove CorrelationResults from Api
* add base package
initialize data_set module with create_dataset,redis and Dataset_Getter
* set dataset_structure if redis is empty
* add callable for DatsetType
* add set_dataset_key method If name is not in the object's dataset dictionary
* add Dataset object and MrnaAssayDataSet
* add db_tools
* add mysql client
* add DatasetGroup object
* add species module
* get mapping method
* import helper functions and new dataset
* add connection to db before request
* add helper functions
* add logger module
* add get_group_samplelists module
* add logger for debug
* add code for adding sample_data
* pep8 formatting
* Add chunks module
* add correlation helper module
* add get_sample_r_and_p_values method
add get_header_fields function
* add generate corr json method
* add function to retrieve_trait_info
* remove comments and clean up code in show_corr_results
* remove comments and clean up code for data_set module
* pep8 formatting for helper_functions module
* pep8 formatting for trait module
* add module for species
* add Temp Dataset Object
* add Phenotype Dataset
* add Genotype Dataset
* add rettrieve sample_sample_data method
* add webqtlUtil module
* add do lit correlation for all traits
* add webqtlCaseData:Settings not ported
* return the_trait for create trait method
* add correlation_test json data
* add tests fore show corr results
* add dictfier package
* add tests for show_corr_results
* add assertion for trait_id
* refactor code for show_corr_results
* add test file for compute_corr intergration tests
* add scipy dependency
* refactor show_corr_results object
add do lit correlation for trait_list
* add hmac module
* add bunch module:Dictionary using object notation
* add correlation functions
* add rpy2 dependency
* add hmac module
* add MrnaAssayTissueData object and get_symbol_values_pairs function
* add config module
* add get json_results method
* pep8 formatting remove comments
* add config file
* add db package
* refactor correlatio compuatation module
* add do tissue correlation for trait list
* add do lit correlation for all traits
* add do tissue correlation for all traits
* add do_bicor for bicor method
* raise error for when initital start vars is None
* add support for both form and json data when for correlation input
* remove print statement and pep8 formatting
* add default settings file
* add tools module for locate_ignore_error
* refactor code remove comments for trait module
* Add new test data for computing correlation
* pep8 formatting and use pickle
* refactor function for filtering form/json data
* remove unused imports
* remove mock functions in correlation_utility module
* refactor tests for compute correlation and pep8 formatting
* add tests for show_correlation results
* modify tests for show_corr_results
* add json files for tests
* pep8 formatting for show_corr_results
* Todo:Lint base files
* pylint for intergration tests
* add test module for test_corr_helpers
* Add test chunk module
* lint utility package
* refactoring and pep8 formatting
* implement simple metric for correlation
* add hmac utility file
* add correlation prefix
* fix merge conflict
* minor fixes for endpoints
* import:python-scipy,python-sqlalchemy from guix
* add python mysqlclient
* remove pkg-resources from requirements
* add python-rpy3 from guix
* refactor code for species module
* pep8 formatting and refactor code
* add tests for genereating correlation results
* lint correlation functions
* fix failing tests for show_corr_results
* add new correlation test data fix errors
* fix issues related to getting group samplelists
* refactor intergration tests for correlation
* add todo for refactoring_wanted_inputs
* replace custom Attribute setter with SimpleNamespace
* comparison of sample r correlation results btwn genenenetwork2 and genenetwork3
* delete AttributeSetter
* test request for /api/correlation/compute_correlation took 18.55710196495056 Seconds
* refactor tests and show_correlation results
* remove unneccessary comments and print statements
* edit requirement txt file
* api/correlation took 114.29814600944519 Seconds for correlation resullts:20000
- corr-type:lit
- corr-method:pearson
corr-dataset:corr_dataset:HC_M2_0606_P
* capture SQL_URI and GENENETWORK FILES path
* pep8 formatting edit && remove print statements
* delete filter_input function
update test and data for correlation
* add docstring for required correlation_input
* /api/correlation took 12.905632972717285 Seconds
* pearson
* lit
*dataset:HX_M2_0606_P
trait_id :1444666
p_range:(lower->-0.60,uppper->0.74)
corr_return_results: 100
* update integration and unittest for correlation
* add simple markdown docs for correlation
* update docs
* add tests and catch for invalid correlation_input
* minor fix for api
* Remove jupyter from deps
* guix.scm: Remove duplicate entry
* guix.scm: Add extra action items as comments
* Trim requirements.txt file
Co-authored-by: BonfaceKilz <me@bonfacemunyoki.com>
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* main.py: Move blueprint registrations to ...
* gn3/app.py (create_app): ... here
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