Add cluster model function traces #700
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lrafeei
changed the base branch from
feature-scikitlearn
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develop-scikitlearn
hmstepanek
requested changes
Dec 15, 2022
hmstepanek
approved these changes
Dec 20, 2022
umaannamalai
pushed a commit
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Jan 6, 2023
* Add sklearn to tox * Add function traces around model methods * Support Python 2.7 & 3.7 sklearn * Add test for multiple calls to model method * Fixup: add comments & organize * Add ensemble models * Add ensemble model tests * Edit tests * Add ensemble library models from sklearn * Start tests with empty commit * Clean up tests * Add cluster model instrumentaton * Fix tests for various versions of sklearn * Fix ensemble tests with changes from tree PR * [Mega-Linter] Apply linters fixes * Fix some cluster model tests * Fix tests after ensemble PR merge * Add transform to tests * Remove accidental commits * Modify cluster tests to be more readable * Break up instrumentation models * Remove duplicate ensemble module defs * Modify VotingRegressor test Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com> Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
umaannamalai
added a commit
that referenced
this pull request
Jan 9, 2023
* Add function traces around model methods * Add test for multiple calls to model method * Fixup: add comments & organize * Refactor * Instrument predict function. * Add data trains fixture. * Add testing and cleanup for custom feature events. * Update test_tree_models. * Add back training step logic to predict proxy. * Remove unused files. * Add tree model function traces (#691) * Add sklearn to tox * Add function traces around model methods * Support Python 2.7 & 3.7 sklearn * Add test for multiple calls to model method * Fixup: add comments & organize * Refactor * Follow two digit convention * Make if-else a one-liner * Abstract to re-usable instrumentation function * Use wrap_method_trace & change to Function group Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com> Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com> Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com> * Fixup: use if-else one-liner * Use hasattr instead of model name check * Change component_sklearn to mlmodel_sklearn * Fixup: replace in model names with hasattr Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com> Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com> Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com> * Add config setting for sklearn inference event capture. (#706) * Add sklearn to tox * Add function traces around model methods * Support Python 2.7 & 3.7 sklearn * Add test for multiple calls to model method * Fixup: add comments & organize * Refactor * Follow two digit convention * Make if-else a one-liner * Abstract to re-usable instrumentation function * Add ML inference event capture config setting. * [Mega-Linter] Apply linters fixes * Fixup: remove component_sklearn files * Add high security mode testing for ML events setting. * [Mega-Linter] Apply linters fixes Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com> Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com> * Capture scorer results (#694) * Add score results attributes to metric scorers * Test un-subclassable types * [Mega-Linter] Apply linters fixes * [Mega-Linter] Apply linters fixes * Trigger tests * Remove custom subclassing code. * [Mega-Linter] Apply linters fixes * Remove unused function * Add test for iterable score results * Change name of object proxy * Fixup: rename proxy in tests too Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com> Co-authored-by: Tim Pansino <timpansino@gmail.com> Co-authored-by: TimPansino <TimPansino@users.noreply.github.com> * Add ensemble model function traces (#697) * Add sklearn to tox * Add function traces around model methods * Support Python 2.7 & 3.7 sklearn * Add test for multiple calls to model method * Fixup: add comments & organize * Add ensemble models * Add ensemble model tests * Edit tests * Add ensemble library models from sklearn * Start tests with empty commit * Clean up tests * Fix tests for various versions of sklearn * Fix ensemble tests with changes from tree PR * [Mega-Linter] Apply linters fixes * Remove breakpoints * Remove commited config files * Group tests into more readable format * Pin startlette latest < 0.23.1 * Convert PY3 checks to one-liners * Use tuple checks for sklearn version Use tuple checks for sklearn version, string checks can result in unexpected out of order comparisons. Also use direct comparisons for easier readability. * Fix VotingRegressor test Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com> Co-authored-by: lrafeei <lrafeei@users.noreply.github.com> * Add function traces around model methods * Add test for multiple calls to model method * Fixup: add comments & organize * Refactor * Instrument predict function. * Add data trains fixture. * Add testing and cleanup for custom feature events. * Update test_tree_models. * Include training step in metric scorer name (#712) * Include training step in scorer name * Add fit_predict data proxying * Remove name comments * Fix predict being called before fit * Re-use existing fixture * Add cluster model function traces (#700) * Add sklearn to tox * Add function traces around model methods * Support Python 2.7 & 3.7 sklearn * Add test for multiple calls to model method * Fixup: add comments & organize * Add ensemble models * Add ensemble model tests * Edit tests * Add ensemble library models from sklearn * Start tests with empty commit * Clean up tests * Add cluster model instrumentaton * Fix tests for various versions of sklearn * Fix ensemble tests with changes from tree PR * [Mega-Linter] Apply linters fixes * Fix some cluster model tests * Fix tests after ensemble PR merge * Add transform to tests * Remove accidental commits * Modify cluster tests to be more readable * Break up instrumentation models * Remove duplicate ensemble module defs * Modify VotingRegressor test Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com> Co-authored-by: lrafeei <lrafeei@users.noreply.github.com> * Add calibration model function traces (#709) * Add sklearn to tox * Add function traces around model methods * Support Python 2.7 & 3.7 sklearn * Add test for multiple calls to model method * Fixup: add comments & organize * Add ensemble models * Add ensemble model tests * Edit tests * Add ensemble library models from sklearn * Start tests with empty commit * Clean up tests * Fix tests for various versions of sklearn * Fix ensemble tests with changes from tree PR * [Mega-Linter] Apply linters fixes * Remove breakpoints * Create tests/instrumentation for calibration models * Fix calibration tests * Remove commented out code * Remove yaml file in commit * Remove duplicate ensemble module defs Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com> Co-authored-by: lrafeei <lrafeei@users.noreply.github.com> * Add back training step logic to predict proxy. * Remove unused files. * Address py27 test failures and review comments. * Fix py 3.7 failures. * Remove old component_sklearn.py file * Fix lint errors * [Mega-Linter] Apply linters fixes * Merge redis fix. Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com> Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com> Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com> Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com> Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com> Co-authored-by: Tim Pansino <timpansino@gmail.com> Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
hmstepanek
added a commit
that referenced
this pull request
Sep 25, 2023
* Add tree model function traces (#691)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Follow two digit convention
* Make if-else a one-liner
* Abstract to re-usable instrumentation function
* Use wrap_method_trace & change to Function group
Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Fixup: use if-else one-liner
* Use hasattr instead of model name check
* Change component_sklearn to mlmodel_sklearn
* Fixup: replace in model names with hasattr
Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Add config setting for sklearn inference event capture. (#706)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Follow two digit convention
* Make if-else a one-liner
* Abstract to re-usable instrumentation function
* Add ML inference event capture config setting.
* [Mega-Linter] Apply linters fixes
* Fixup: remove component_sklearn files
* Add high security mode testing for ML events setting.
* [Mega-Linter] Apply linters fixes
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
* Capture scorer results (#694)
* Add score results attributes to metric scorers
* Test un-subclassable types
* [Mega-Linter] Apply linters fixes
* [Mega-Linter] Apply linters fixes
* Trigger tests
* Remove custom subclassing code.
* [Mega-Linter] Apply linters fixes
* Remove unused function
* Add test for iterable score results
* Change name of object proxy
* Fixup: rename proxy in tests too
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: Tim Pansino <timpansino@gmail.com>
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
* Add ensemble model function traces (#697)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Remove breakpoints
* Remove commited config files
* Group tests into more readable format
* Pin startlette latest < 0.23.1
* Convert PY3 checks to one-liners
* Use tuple checks for sklearn version
Use tuple checks for sklearn version, string checks can result in unexpected out of
order comparisons. Also use direct comparisons for easier readability.
* Fix VotingRegressor test
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Include training step in metric scorer name (#712)
* Include training step in scorer name
* Add fit_predict data proxying
* Remove name comments
* Fix predict being called before fit
* Re-use existing fixture
* Add cluster model function traces (#700)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Add cluster model instrumentaton
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Fix some cluster model tests
* Fix tests after ensemble PR merge
* Add transform to tests
* Remove accidental commits
* Modify cluster tests to be more readable
* Break up instrumentation models
* Remove duplicate ensemble module defs
* Modify VotingRegressor test
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add calibration model function traces (#709)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Remove breakpoints
* Create tests/instrumentation for calibration models
* Fix calibration tests
* Remove commented out code
* Remove yaml file in commit
* Remove duplicate ensemble module defs
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add svm model function traces (#733)
* Add svm models
* Remove extra conditionals from testing
* Add semi supervised models (#732)
* Add pipeline model function traces (#730)
* Add pipeline models
* Remove commented code
* Add neural network model function traces (#729)
* Add neural network models
* Fixup: merge conflict
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
* Add neighbors models (#728)
* Add mixture models (#725)
* Add model selection model function traces (#726)
* Add outline for model selection tests
* Add some testing to model selection
* Add hooks
* Add estimator
* Finish testing for model selection
* Add naive bayes models (#724)
* Add multioutput models (#723)
* Add multiclass models (#722)
* Add kernel ridge model function traces (#721)
* Add kernel ridge models
* Modify VotingRegressor test
* Add custom feature events for sklearn (#727)
* Add function traces around model methods
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Instrument predict function.
* Add data trains fixture.
* Add testing and cleanup for custom feature events.
* Update test_tree_models.
* Add back training step logic to predict proxy.
* Remove unused files.
* Add tree model function traces (#691)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Follow two digit convention
* Make if-else a one-liner
* Abstract to re-usable instrumentation function
* Use wrap_method_trace & change to Function group
Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Fixup: use if-else one-liner
* Use hasattr instead of model name check
* Change component_sklearn to mlmodel_sklearn
* Fixup: replace in model names with hasattr
Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Add config setting for sklearn inference event capture. (#706)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Follow two digit convention
* Make if-else a one-liner
* Abstract to re-usable instrumentation function
* Add ML inference event capture config setting.
* [Mega-Linter] Apply linters fixes
* Fixup: remove component_sklearn files
* Add high security mode testing for ML events setting.
* [Mega-Linter] Apply linters fixes
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
* Capture scorer results (#694)
* Add score results attributes to metric scorers
* Test un-subclassable types
* [Mega-Linter] Apply linters fixes
* [Mega-Linter] Apply linters fixes
* Trigger tests
* Remove custom subclassing code.
* [Mega-Linter] Apply linters fixes
* Remove unused function
* Add test for iterable score results
* Change name of object proxy
* Fixup: rename proxy in tests too
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: Tim Pansino <timpansino@gmail.com>
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
* Add ensemble model function traces (#697)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Remove breakpoints
* Remove commited config files
* Group tests into more readable format
* Pin startlette latest < 0.23.1
* Convert PY3 checks to one-liners
* Use tuple checks for sklearn version
Use tuple checks for sklearn version, string checks can result in unexpected out of
order comparisons. Also use direct comparisons for easier readability.
* Fix VotingRegressor test
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add function traces around model methods
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Instrument predict function.
* Add data trains fixture.
* Add testing and cleanup for custom feature events.
* Update test_tree_models.
* Include training step in metric scorer name (#712)
* Include training step in scorer name
* Add fit_predict data proxying
* Remove name comments
* Fix predict being called before fit
* Re-use existing fixture
* Add cluster model function traces (#700)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Add cluster model instrumentaton
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Fix some cluster model tests
* Fix tests after ensemble PR merge
* Add transform to tests
* Remove accidental commits
* Modify cluster tests to be more readable
* Break up instrumentation models
* Remove duplicate ensemble module defs
* Modify VotingRegressor test
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add calibration model function traces (#709)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Remove breakpoints
* Create tests/instrumentation for calibration models
* Fix calibration tests
* Remove commented out code
* Remove yaml file in commit
* Remove duplicate ensemble module defs
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add back training step logic to predict proxy.
* Remove unused files.
* Address py27 test failures and review comments.
* Fix py 3.7 failures.
* Remove old component_sklearn.py file
* Fix lint errors
* [Mega-Linter] Apply linters fixes
* Merge redis fix.
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: Timothy Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: Tim Pansino <timpansino@gmail.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add feature selection model function traces (#719)
* Add feature selection models
* Modify VotingRegressor test
* Add dummy model function traces (#718)
* Add gaussian process model function traces (#720)
* Add gaussian process models
* Modify VotingRegressor test
* Modify Gaussian Process models tests
* Add discriminant analysis model (#717)
* Add cross decomposition models (#716)
* Add covariance model (#714)
* Add compose models (#713)
* Add linear model function traces (#703)
* Add sklearn to tox
* Add function traces around model methods
* Support Python 2.7 & 3.7 sklearn
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Add ensemble models
* Add ensemble model tests
* Edit tests
* Add ensemble library models from sklearn
* Start tests with empty commit
* Clean up tests
* Initial linear model commit
* Clean up tests for linear models
* Fix tests for various versions of sklearn
* Fix ensemble tests with changes from tree PR
* [Mega-Linter] Apply linters fixes
* Remove breakpoints
* Merge changes from ensemble PR
* Fix tests for v0.20.0
* Rewrite linear tests to be more readable
* Break up instrumentation in config
* Remove commented code
* Remove yaml file in commit
* Remove duplicate ensemble module defs
* Remove old no longer used file
* Remove commented out code.
* Change test name and modify VotingRegressor test
* Push empty commit
* Modify VotingRegression test
* Add estimator to VotingRegressor
* Revert VotingRegressor test
* Fix ensemble tests
* Add different models for VotingRegressor test
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
* Add ml_model function wrapper API (#739)
* Add function traces around model methods
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Instrument predict function.
* Add data trains fixture.
* Add testing and cleanup for custom feature events.
* Update test_tree_models.
* Add back training step logic to predict proxy.
* Remove unused files.
* Add ml_model wrapper and tests.
* Add column name logic.
* Update branch.
* Update column name mapping logic.
* Fix py2 failures.
* Fix pypy37 failure.
* Revise feature_names logic.
* Add more ml_model wrapper testing.
* Fix linter unused import
* [Mega-Linter] Apply linters fixes
* Bump tests.
* Bump tests.
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
* Report feature event w/o value (#754)
Report the feature event w/o the raw value if
`machine_learning.inference_event_value.enabled` is False.
* Prediction metric stats (#715)
* Add function traces around model methods
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Instrument predict function.
* Add data trains fixture.
* Add testing and cleanup for custom feature events.
* Update test_tree_models.
* Add back training step logic to predict proxy.
* Remove unused files.
* Update branch.
* Add impl and testing for label events.
* [Mega-Linter] Apply linters fixes
* Add feature_name to expected events for int test.
* Fix py37 test.
* Add function traces around model methods
* Add test for multiple calls to model method
* Fixup: add comments & organize
* Refactor
* Instrument predict function.
* Add data trains fixture.
* Add testing and cleanup for custom feature events.
* Update test_tree_models.
* Add back training step logic to predict proxy.
* Remove unused files.
* Update branch.
* Add impl and testing for label events.
* Add feature_name to expected events for int test.
* [Mega-Linter] Apply linters fixes
* Fix py37 test.
* Update logic to not report value when setting is disabled.
* Fixup flake8 unused import
* Touch up label event logic and rename test_feature_events to test_inference_events.
* Add test case for multilabel output.
* Fix 2D np array test.
* Add metrics about prediction data
* Fixup
* Fix user provided label names
* Fixup label related column name tests
* [Mega-Linter] Apply linters fixes
* Assert label events in multilabel output test
* Remove return of stats
* Remove spaces from version specification
* Fix py2.7 output difference in pandas test
---------
Co-authored-by: Uma Annamalai <uannamalai@newrelic.com>
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* Add new ML event type (#802)
* Add new machine learning event data type
Co-authored-by: Tim Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <lrafeei@newrelic.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Validate new machine learning event data type
Co-authored-by: Tim Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <lrafeei@newrelic.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Fixup: minor inconsistencies
* Fixup
* Remove code coverage fixture
* Fix lint errors
* Increase timeout for python tests
---------
Co-authored-by: Tim Pansino <TimPansino@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <lrafeei@newrelic.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Add machine learning and ml_event config options (#811)
* Add machine learning config options
* machine_learning.enabled
* machine_learning.inference_events.enable
* machine_learning.inference_events.value.enabled
* event_harvest_config.harvest_limits.ml_event_data
Co-authored-by: Lalleh Rafeei <lrafeei@newrelic.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Replace all TODOs w/ new config settings
* [Mega-Linter] Apply linters fixes
* Trigger tests
* Add insights settings & tests
* Remove collect_custom_events & inference_events.enabled
* Revert inference_events_value=>.value
* Remove TODO
* Fixup: format docstring
* Remove file
* Add tests for machine_learning.enabled
---------
Co-authored-by: Lalleh Rafeei <lrafeei@newrelic.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
* Dimensional Metrics (#815)
* Wiring dimensional metrics
* Squashed commit of the following:
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Wiring dimensional metrics
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* Trigger tests
* Fixup
* Add redis client_no_touch to ignore list
* Temporarily remove kafka from coverage
* Remove coverage for old libs
commit 3d8284540e0acd867c2cf680f43449bc128c0779
Author: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Date: Wed May 3 14:50:30 2023 -0700
Omit some frameworks from coverage analysis (#810)
* Omit some frameworks from coverage analysis
* Remove commas
* Change format of omit
* Add relative_files option to coverage
* Add absolute directory
* Add envsitepackagedir
* Add coveragerc file
* Add codecov.yml
* [Mega-Linter] Apply linters fixes
* Revert coveragerc file settings
* Add files in packages and more frameworks
* Remove commented line
---------
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
commit fd0fa35466b630e34e8476cc53ad0e163564e2de
Author: Uma Annamalai <uannamalai@newrelic.com>
Date: Tue May 2 10:55:36 2023 -0700
Add testing for genshi and mako. (#799)
* Add testing for genshi and mako.
* [Mega-Linter] Apply linters fixes
---------
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
commit be4fb3dda0e734889acd6bc53cf91f26c18c2118
Author: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Date: Mon May 1 16:01:09 2023 -0700
Add tests for Waitress (#797)
* Change import format
* Initial commit
* Add more tests to adapter_waitress
* Remove commented out code
* [Mega-Linter] Apply linters fixes
* Add assertions to all tests
* Add more NR testing to waitress
---------
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
commit 7103506ca5639d339e3e47dfb9e4affb546c839b
Author: Hannah Stepanek <hstepanek@newrelic.com>
Date: Mon May 1 14:12:31 2023 -0700
Add tests for pyodbc (#796)
* Add tests for pyodbc
* Move imports into tests to get import coverage
* Fixup: remove time import
* Trigger tests
---------
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
commit 363122a0efe0ad9f4784fc1f67fda046cb9bb7e8
Author: Hannah Stepanek <hstepanek@newrelic.com>
Date: Mon May 1 13:34:35 2023 -0700
Pin virtualenv, fix pip arg deprecation & disable kafka tests (#803)
* Pin virtualenv
* Fixup: use 20.21.1 instead
* Replace install-options with config-settings
See https://github.com/pypa/pip/issues/11358.
* Temporarily disable kafka tests
* Add dimensional stats table to stats engine
* Add attribute processing to metric identity
* Add testing for dimensional metrics
* Cover tags as list not dict
* Commit suggestions from code review
* Fix missing resource error
* Add global settings override for otlp_host test
* Fix unbound local variable
* Remove redundant and miscategorized tests
* Migrate and merge otlp utils to core.
* Fix virtualenv for newer tox versions and Py27
* Fix validator for Py27
* Fix dimensional metric normalization
* Fix lint errors
* Fix pypy 27 naming
* Add debug override for metric serialization
* Fix exit code passthrough in tox script
* Make otlp_encode more robust
* Add json vs protobuf testing fixture
* Remove sklearn py27 testing
* Validate resource in OTLP
* Revert unrelated changes from code review
* Fixup: service.provider assertion
---------
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
* Fix attribute name mismatches from mlops sdk (#845)
* Convert numerical -> numeric
* Adjust attr names to match mlops sdk
* Add feature_/label_ prefix to type & name attrs
* model_name -> modelName
* Set event type to inferenceData
* Backport main into develop-scikitlearn (#847)
* Containerized CI Pipeline (#836)
* Revert "Remove Python 2.7 and pypy2 testing (#835)"
This reverts commit abb6405d2bfd629ed83f48e8a17b4a28e3a3c352.
* Containerize CI process
* Publish new docker container for CI images
* Rename github actions job
* Copyright tag scripts
* Drop debug line
* Swap to new CI image
* Move pip install to just main python
* Remove libcurl special case from tox
* Install special case packages into main image
* Remove unused packages
* Remove all other triggers besides manual
* Add make run command
* Cleanup small bugs
* Fix CI Image Tagging (#838)
* Correct templated CI image name
* Pin pypy2.7 in image
* Fix up scripting
* Temporarily Restore Old CI Pipeline (#841)
* Restore old pipelines
* Remove python 2 from setup-python
* Rework CI Pipeline (#839)
Change pypy to pypy27 in tox.
Fix checkout logic
Pin tox requires
* Fix Tests on New CI (#843)
* Remove non-root user
* Test new CI image
* Change pypy to pypy27 in tox.
* Fix checkout logic
* Fetch git tags properly
* Pin tox requires
* Adjust default db settings for github actions
* Rename elasticsearch services
* Reset to new pipelines
* [Mega-Linter] Apply linters fixes
* Fix timezone
* Fix docker networking
* Pin dev image to new sha
* Standardize gearman DB settings
* Fix elasticsearch settings bug
* Fix gearman bug
* Add missing odbc headers
* Add more debug messages
* Swap out dev ci image
* Fix required virtualenv version
* Swap out dev ci image
* Swap out dev ci image
* Remove aioredis v1 for EOL
* Add coverage paths for docker container
* Unpin ci container
---------
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
* Fix pypy27 dependency
* Add skip for OTLP on py27
---------
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* Use Dimensional Metrics in SKLearn (#850)
* Convert ML custom metrics to dimensional with tags
* Rename _class to class_
* Remove typo
* Adjust ML metric tests for dimensional metrics
* Pin sklearn to <1.11.0 for testing
* [Mega-Linter] Apply linters fixes
---------
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
* Fixup dependency pinning
* Hook up ml event to OTLP (#822)
* Use protos and otlp protocol class for ml_events
* inferenceData -> InferenceData
* Add LogsData import
* Add utf-8 encoding for json otlp payload
* Cast timestamp to int
* Use ml_event validator in tests
* Fixup payload tests
* Change str_value -> string_value
* Move event payload gen into otlp_utils
* Fixup: put back print
* Fixup: cast as str for py27
* Fixup lint errors
* Skip py2 protobuf
---------
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* Fix OTLP Count Metric Serialization (#856)
* Fix metric filtering in OTLP encoding
* Add regression test for duplicate metrics
* Make error message more clear
* Add pylint ignore C0123
* Add explanation comment
* Linting fixups
* Merge main (#874)
* Exclude command line functionality from test coverage (#855)
* FIX: resilient environment settings (#825)
if the application uses generalimport to manage optional depedencies,
it's possible that generalimport.MissingOptionalDependency is raised.
In this case, we should not report the module as it is not actually loaded and
is not a runtime dependency of the application.
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
* Replace drop_transaction logic by using transaction context manager (#832)
* Replace drop_transaction call
* [Mega-Linter] Apply linters fixes
* Empty commit to start tests
* Change logic in BG Wrappers
---------
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* Upgrade to Pypy38 for TypedDict (#861)
* Fix base branch
* Revert tox dependencies
* Replace all pypy37 with pypy38
* Remove action.yml file
* Push Empty Commit
* Fix skip_missing_interpreters behavior
* Fix skip_missing_interpreters behavior
* Pin dev CI image sha
* Remove unsupported Tornado tests
* Add latest tests to Tornado
* Remove pypy38 (for now)
---------
Co-authored-by: Tim Pansino <timpansino@gmail.com>
* Add profile_trace testing (#858)
* Include isort stdlibs for determining stdlib modules
* Use isort & sys to eliminate std & builtin modules
Previously, the logic would fail to identify third party modules installed within the
local user socpe. This fixes that issue by skipping builtin and stdlib modules by name,
instead of attempting to identify third party modules based on file paths.
* Handle importlib_metadata.version being a callable
* Add isort into third party notices
* [Mega-Linter] Apply linters fixes
* Remove Python 2.7 and pypy2 testing (#835)
* Change setup-python to @v2 for py2.7
* Remove py27 and pypy testing
* Fix syntax errors
* Fix comma related syntax errors
* Fix more issues in tox
* Remove gearman test
* Containerized CI Pipeline (#836)
* Revert "Remove Python 2.7 and pypy2 testing (#835)"
This reverts commit abb6405d2bfd629ed83f48e8a17b4a28e3a3c352.
* Containerize CI process
* Publish new docker container for CI images
* Rename github actions job
* Copyright tag scripts
* Drop debug line
* Swap to new CI image
* Move pip install to just main python
* Remove libcurl special case from tox
* Install special case packages into main image
* Remove unused packages
* Remove all other triggers besides manual
* Add make run command
* Cleanup small bugs
* Fix CI Image Tagging (#838)
* Correct templated CI image name
* Pin pypy2.7 in image
* Fix up scripting
* Temporarily Restore Old CI Pipeline (#841)
* Restore old pipelines
* Remove python 2 from setup-python
* Rework CI Pipeline (#839)
Change pypy to pypy27 in tox.
Fix checkout logic
Pin tox requires
* Fix Tests on New CI (#843)
* Remove non-root user
* Test new CI image
* Change pypy to pypy27 in tox.
* Fix checkout logic
* Fetch git tags properly
* Pin tox requires
* Adjust default db settings for github actions
* Rename elasticsearch services
* Reset to new pipelines
* [Mega-Linter] Apply linters fixes
* Fix timezone
* Fix docker networking
* Pin dev image to new sha
* Standardize gearman DB settings
* Fix elasticsearch settings bug
* Fix gearman bug
* Add missing odbc headers
* Add more debug messages
* Swap out dev ci image
* Fix required virtualenv version
* Swap out dev ci image
* Swap out dev ci image
* Remove aioredis v1 for EOL
* Add coverage paths for docker container
* Unpin ci container
---------
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
* Trigger tests
* Add testing for profile trace.
* [Mega-Linter] Apply linters fixes
* Ignore __call__ from coverage on profile_trace.
* [Mega-Linter] Apply linters fixes
---------
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Timothy Pansino <11214426+TimPansino@users.noreply.github.com>
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
* Add Transaction API Tests (#857)
* Test for suppress_apdex_metric
* Add custom_metrics tests
* Add distributed_trace_headers testing in existing tests
* [Mega-Linter] Apply linters fixes
* Remove redundant if-statement
* Ignore deprecated transaction function from coverage
* [Mega-Linter] Apply linters fixes
* Push empty commit
* Update newrelic/api/transaction.py
---------
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Timothy Pansino <11214426+TimPansino@users.noreply.github.com>
Co-authored-by: Uma Annamalai <uannamalai@newrelic.com>
* Add tests for jinja2. (#842)
* Add tests for jinja2.
* [Mega-Linter] Apply linters fixes
* Update tox.ini
Co-authored-by: Timothy Pansino <11214426+TimPansino@users.noreply.github.com>
---------
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Timothy Pansino <11214426+TimPansino@users.noreply.github.com>
* Add tests for newrelic/config.py (#860)
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* Fix starlette testing matrix for updated behavior. (#869)
Co-authored-by: Lalleh Rafeei <lrafeei@users.noreply.github.com>
Co-authored-by: Hannah Stepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: Uma Annamalai <umaannamalai@users.noreply.github.com>
* Correct Serverless Distributed Tracing Logic (#870)
* Fix serverless logic for distributed tracing
* Test stubs
* Collapse testing changes
* Add negative testing to regular DT test suite
* Apply linter fixes
* [Mega-Linter] Apply linters fixes
---------
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
* Fix Kafka CI (#863)
* Reenable kafka testing
* Add kafka dev lib
* Sync install python with devcontainer
* Fix kafka local host setting
* Drop set -u flag
* Pin CI image dev sha
* Add parallel flag to kafka
* Fix proper exit status
* Build librdkafka from source
* Updated dev image sha
* Remove coverage exclusions
* Add new options to better emulate GHA
* Reconfigure kafka networking
Co-authored-by: Hannah Stepanek <hmstepanek@users.noreply.github.com>
* Fix kafka ports on GHA
* Run kafka tests serially
* Separate kafka consumer groups
* Put CI container makefile back
* Remove confluent kafka Py27 for latest
* Roll back ubuntu version update
* Update dev ci sha
---------
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Hannah Stepanek <hmstepanek@users.noreply.github.com>
* Change image tag to latest (#871)
* Change image tag to latest
* Use built sha
* Fixup
* Replace w/ latest
* Add full version for pypy3.8 to tox (#872)
* Add full version for pypy3.8
* Remove solrpy from tests
* Fix merge conflict
* Fix tests for scikit-learn >= 1.3.0
In 1.3.0 sklearn renamed fit to _fit in BaseDecisionTree.
* Add gfortran to container
* Use ci image sha
* Add pkg-config
* New CI build
---------
Co-authored-by: Lalleh Rafeei <84813886+lrafeei@users.noreply.github.com>
Co-authored-by: Ahmed Helil <aaeabdo@gmail.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
Co-authored-by: Tim Pansino <timpansino@gmail.com>
Co-authored-by: Uma Annamalai <uannamalai@newrelic.com>
Co-authored-by: hmstepanek <hmstepanek@users.noreply.github.com>
Co-authored-by: Timothy Pansino <11214426+TimPansino@users.noreply.github.com>
Co-authored-by: TimPansino <TimPansino@users.noreply.github.com>
Co-authored-by: umaannamalai <umaannamalai@users.noreply.github.com>
* Only send 1 event per prediction & fix tests (#867)
* Only send 1 event per prediction
This changes from sending 1 event per feature/label value to 1 event per prediction.
This change is referred to as a change in "schema".
* Replace feature_name & feature_value and label_name & label_value to
feature.<name> = <value> and label.<name> = <value>.
* Remove feature_type and label_type.
* Add new_relic_data_schema_version
* Remove pypy3.8-scipy will not compile
* Remove scipy compile deps
* Set ci build back to latest
* Merge redis changes mlops (#914)
* Exclude command line functionality from test coverage (#855)
* FIX: resilient environment settings (#825)
if the application uses generalimport to manage optional depedencies,
it's possible that generalimport.MissingOptionalDependency is raised.
In this case, we should not report the module as it is not actually loaded and
is not a runtime dependency of the application.
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Hannah Stepanek <hstepanek@newrelic.com>
* Replace drop_transaction logic by using transaction context manager (#832)
* Replace drop_transaction call
* [Mega-Linter] Apply linters fixes
* Empty commit to start tests
* Change logic in BG Wrappers
---------
Co-authored-by: lrafeei <lrafeei@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* Upgrade to Pypy38 for TypedDict (#861)
* Fix base branch
* Revert tox dependencies
* Replace all pypy37 with pypy38
* Remove action.yml file
* Push Empty Commit
* Fix skip_missing_interpreters behavior
* Fix skip_missing_interpreters behavior
* Pin dev CI image sha
* Remove unsupported Tornado tests
* Add latest tests to Tornado
* Remove pypy38 (for now)
---------
Co-authored-by: Tim Pansino <timpansino@gmail.com>
* Add profile_trace testing (#858)
* Include isort stdlibs for determining stdlib modules
* Use isort & sys to eliminate std & builtin modules
Previously, the logic would fail to identify third party modules installed within the
local user socpe. This fixes that issue by skipping builtin and stdlib modules by name,
instead of attempting to identify third party modules based on file paths.
* Handle importlib_metadata.version being a callable
* Add isort into third party notices
* [Mega-Linter] Apply linters fixes
* Remove Python 2.7 and pypy2 testing (#835)
* Change setup-python to @v2 for py2.7
* Remove py27 and pypy testing
* Fix syntax errors
* Fix comma related syntax errors
* Fix more issues in tox
* Remove gearman test
* Containerized CI Pipeline (#836)
* Revert "Remove Python 2.7 and pypy2 testing (#835)"
This reverts commit abb6405d2bfd629ed83f48e8a17b4a28e3a3c352.
* Containerize CI process
* Publish new docker container for CI images
* Rename github actions job
* Copyright tag scripts
* Drop debug line
* Swap to new CI image
* Move pip install to just main python
* Remove libcurl special case from tox
* Install special case packages into main image
* Remove unused packages
* Remove all other triggers besides manual
* Add make run command
* Cleanup small bugs
* Fix CI Image Tagging (#838)
* Correct templated CI image name
* Pin pypy2.7 in image
* Fix up scripting
* Temporarily Restore Old CI Pipeline (#841)
* Restore old pipelines
* Remove python 2 from setup-python
* Rework CI Pipeline (#839)
Change pypy to pypy27 in tox.
Fix checkout logic
Pin tox requires
* Fix Tests on New CI (#843)
* Remove non-root user
* Test new CI image
* Change pypy to pypy27 in tox.
* Fix checkout logic
* Fetch git tags properly
* Pin tox requires
* Adjust default db settings for github actions
* Rename elasticsearch services
* Reset to new pipelines
* [Mega-Linter] Apply linters fixes
* Fix timezone
* Fix docker networking
* Pin dev image to new sha
* Standardize gearman DB settings
* Fix elasticsearch settings bug
* Fix gearman bug
* Add missing odbc headers
* Add m…
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This PR adds instrumentation to the cluster model for sklearn.
The functions that are instrumented: