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integration Junit for OSS #778

Merged
merged 17 commits into from
Feb 19, 2024
Merged

integration Junit for OSS #778

merged 17 commits into from
Feb 19, 2024

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vikasgupta78
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integration Junit for OSS

}

@Override
public void validateResults() {
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we should validate that a model has been created - you can add a separate issue for that and we can take it up later

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#783 created



// returns df1.intersect(df2)
public abstract ZFrame<D, R, C> intersect(ZFrame<D, R, C> df1, ZFrame<D, R, C> df2);
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we should define these test methods in Zframe itself so that we dont have to go down to spark/snowflake specific stuff in the tests.

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done in commit 2c7f744


protected SparkTrainingDataFinder getTrainingDataFinder() throws ZinggClientException {
SparkTrainingDataFinder stdf = new SparkTrainingDataFinder(ctx);
stdf.init(args);
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move init to executortester.

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What would be the benefit in that? Moreover if something special needs to be done for an instance let it be done by concrete implementation

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That specific thing will anyways be done in the derived class. Setting up the test in one places ensures no code repetition and that all derived classes are executing the same tests, unless explicitly overridden

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done in commit 6423793

}

@Test
public void testExecutors() throws ZinggClientException {
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move this to the base class with S,D,R,C,T. Only getTrainingDataFinder etc should be overwritten to return concrete class here

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Done in commit e18399e

<packaging>jar</packaging>
<dependencies>
<dependency>
<groupId>zingg</groupId>
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move tests to common test as discussed

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done as part of commits 3a79946 , 2184a84 and 6b97885

Please let me know if spark-test module also needs to be removed and tests moved to spark-core

assertTrue(matchCount > 1);
long unmatchCount = dfMarked.filter(notMatchCond).count();
assertTrue(unmatchCount > 1);
LOG.info("matchCount : "+ matchCount + ", unmatchCount : " + unmatchCount);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.
double score1 = tpCount*1.0d/(tpCount+fpCount);
double score2 = tpCount*1.0d/(tpCount+fnCount);

LOG.info("False negative " + fnCount);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.
double score2 = tpCount*1.0d/(tpCount+fnCount);

LOG.info("False negative " + fnCount);
LOG.info("True positive " + tpCount);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.

LOG.info("False negative " + fnCount);
LOG.info("True positive " + tpCount);
LOG.info("False positive " + fpCount);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.
LOG.info("False negative " + fnCount);
LOG.info("True positive " + tpCount);
LOG.info("False positive " + fpCount);
LOG.info("precision " + score1);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.
LOG.info("True positive " + tpCount);
LOG.info("False positive " + fpCount);
LOG.info("precision " + score1);
LOG.info("recall " + tpCount + " denom " + (tpCount+fnCount) + " overall " + score2);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.

long trainingDataCount = df.count();
assertTrue(trainingDataCount > 10);
LOG.info("trainingDataCount : "+ trainingDataCount);

Check warning

Code scanning / PMD

Logger calls should be surrounded by log level guards. Warning test

Logger calls should be surrounded by log level guards.
@sonalgoyal sonalgoyal merged commit 3ab5482 into zinggAI:enterprise Feb 19, 2024
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2 participants