From 0fe48ccf1e63e3c8697c40cca06f19d91fc932a9 Mon Sep 17 00:00:00 2001 From: Sebastian Daza Date: Fri, 6 Dec 2024 18:17:02 +0100 Subject: [PATCH 1/6] test --- tests/test_experiment_analyzer.py | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) create mode 100644 tests/test_experiment_analyzer.py diff --git a/tests/test_experiment_analyzer.py b/tests/test_experiment_analyzer.py new file mode 100644 index 0000000..4edebcb --- /dev/null +++ b/tests/test_experiment_analyzer.py @@ -0,0 +1,27 @@ +# test_experiment_analyzer.py +import unittest +from experiment_utils.experiment_analyzer import ExperimentAnalyzer + +class TestExperimentAnalyzer(unittest.TestCase): + def test_init(self): + # Create a sample DataFrame + data = [(1, 'a', 10), (2, 'b', 20)] + df = spark.createDataFrame(data, ['id', 'variable', 'value']) + + # Test ExperimentAnalyzer initialization + analyzer = ExperimentAnalyzer(df, ['variable'], 'id') + self.assertEqual(analyzer.data.count(), 2) + self.assertEqual(analyzer.outcomes, ['variable']) + + def test_get_effects(self): + # Create a sample DataFrame + data = [(1, 'a', 10), (2, 'b', 20)] + df = spark.createDataFrame(data, ['id', 'variable', 'value']) + + # Test get_effects function + analyzer = ExperimentAnalyzer(df, ['variable'], 'id') + effects = analyzer.get_effects() + self.assertEqual(effects.count(), 1) + +if __name__ == '__main__': + unittest.main() \ No newline at end of file From a2b4c27df8d8d51fb4491a7265a06df408a9e429 Mon Sep 17 00:00:00 2001 From: Sebastian Daza Date: Fri, 6 Dec 2024 18:20:01 +0100 Subject: [PATCH 2/6] update readme --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index 30b0be5..10e55c1 100644 --- a/README.md +++ b/README.md @@ -23,10 +23,8 @@ pip install git+https://github.com/sdaza/experiment-utils.git analyzer = ExperimentAnalyzer( df, treatment_col="treatment", - group_col="group", outcomes=['registrations', 'visits'], covariates=covariates, - instrument_col="instrument", experiment_identifier=["campaign_key"], adjustment=None) From c2722f745d56ff228af88239edd1feb95cec3dd8 Mon Sep 17 00:00:00 2001 From: Sebastian Daza Date: Sun, 8 Dec 2024 12:50:28 +0100 Subject: [PATCH 3/6] add tests --- .gitignore | 4 +- pyproject.toml | 4 +- tests/test_experiment_analyzer.py | 100 ++++++++++++++++++++++-------- 3 files changed, 81 insertions(+), 27 deletions(-) diff --git a/.gitignore b/.gitignore index a2ef35c..f814240 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,5 @@ .DS_Store testing -experiment_utils/dev* \ No newline at end of file +experiment_utils/dev* +__pycache__ +experiment_utils.egg-info \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 5f890df..fa684b8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,7 +35,9 @@ dependencies = [ "statsmodels>=0.13.2", "scipy>=1.9.1", "dowhy>=0.11.1", - "linearmodels>=6.1" + "linearmodels>=6.1", + "pytest>=8.3.4", + "pyspark>=3.5.3" ] [tool.setuptools] diff --git a/tests/test_experiment_analyzer.py b/tests/test_experiment_analyzer.py index 4edebcb..2fa17ec 100644 --- a/tests/test_experiment_analyzer.py +++ b/tests/test_experiment_analyzer.py @@ -1,27 +1,77 @@ -# test_experiment_analyzer.py -import unittest +import pytest +from pyspark.sql import SparkSession +from pyspark.sql import DataFrame +from pyspark.sql.types import StructType, StructField, StringType, IntegerType from experiment_utils.experiment_analyzer import ExperimentAnalyzer -class TestExperimentAnalyzer(unittest.TestCase): - def test_init(self): - # Create a sample DataFrame - data = [(1, 'a', 10), (2, 'b', 20)] - df = spark.createDataFrame(data, ['id', 'variable', 'value']) - - # Test ExperimentAnalyzer initialization - analyzer = ExperimentAnalyzer(df, ['variable'], 'id') - self.assertEqual(analyzer.data.count(), 2) - self.assertEqual(analyzer.outcomes, ['variable']) - - def test_get_effects(self): - # Create a sample DataFrame - data = [(1, 'a', 10), (2, 'b', 20)] - df = spark.createDataFrame(data, ['id', 'variable', 'value']) - - # Test get_effects function - analyzer = ExperimentAnalyzer(df, ['variable'], 'id') - effects = analyzer.get_effects() - self.assertEqual(effects.count(), 1) - -if __name__ == '__main__': - unittest.main() \ No newline at end of file +# Initialize a Spark session +spark = SparkSession.builder \ + .appName("Spark Test") \ + .master("local[*]") \ + .getOrCreate() + +# Create a simple DataFrame +data = [("Alice", 1), ("Bob", 2), ("Cathy", 3)] +columns = ["Name", "Id"] +df = spark.createDataFrame(data, columns) + +# Show the DataFrame +df.show() + +@pytest.fixture +def sample_data(spark): + """Fixture for creating a sample Spark DataFrame.""" + schema = StructType([ + StructField("experiment_id", StringType(), True), + StructField("treatment", IntegerType(), True), + StructField("outcome1", IntegerType(), True), + StructField("covariate1", IntegerType(), True), + ]) + data = [ + ("exp1", 1, 10, 5), + ("exp1", 0, 12, 6), + ("exp2", 1, 15, 7), + ("exp2", 0, 11, 8), + ] + return spark.createDataFrame(data, schema) + +def test_check_input(sample_data): + """Test the __check_input method of ExperimentAnalyzer.""" + outcomes = ["outcome1"] + treatment_col = "treatment" + experiment_identifier = ["experiment_id"] + covariates = ["covariate1"] + + analyzer = ExperimentAnalyzer( + data=sample_data, + outcomes=outcomes, + treatment_col=treatment_col, + experiment_identifier=experiment_identifier, + covariates=covariates + ) + + # This should not raise an error since all columns are present + try: + analyzer._ExperimentAnalyzer__check_input() + assert True + except Exception as e: + pytest.fail(f"__check_input raised an exception: {e}") + +def test_missing_columns(sample_data): + """Test the __check_input method with missing columns.""" + outcomes = ["outcome1"] + treatment_col = "treatment" + experiment_identifier = ["experiment_id"] + covariates = ["missing_covariate"] + + analyzer = ExperimentAnalyzer( + data=sample_data, + outcomes=outcomes, + treatment_col=treatment_col, + experiment_identifier=experiment_identifier, + covariates=covariates + ) + + # Expecting an error due to missing covariate + with pytest.raises(Exception, match="The following required columns are missing from the dataframe"): + analyzer._ExperimentAnalyzer__check_input() From 2342a1f268be0c340d5151bf7162ed46abe49d3c Mon Sep 17 00:00:00 2001 From: Sebastian Daza Date: Sun, 8 Dec 2024 13:54:38 +0100 Subject: [PATCH 4/6] update --- tests/test_experiment_analyzer.py | 142 ++++++++++++++++++++---------- 1 file changed, 94 insertions(+), 48 deletions(-) diff --git a/tests/test_experiment_analyzer.py b/tests/test_experiment_analyzer.py index 2fa17ec..49b9404 100644 --- a/tests/test_experiment_analyzer.py +++ b/tests/test_experiment_analyzer.py @@ -1,68 +1,110 @@ import pytest -from pyspark.sql import SparkSession -from pyspark.sql import DataFrame +from pyspark.sql import functions as F from pyspark.sql.types import StructType, StructField, StringType, IntegerType from experiment_utils.experiment_analyzer import ExperimentAnalyzer +from experiment_utils.spark_instance import * -# Initialize a Spark session -spark = SparkSession.builder \ - .appName("Spark Test") \ - .master("local[*]") \ - .getOrCreate() +import numpy as np +import pandas as pd +from scipy.stats import truncnorm -# Create a simple DataFrame -data = [("Alice", 1), ("Bob", 2), ("Cathy", 3)] -columns = ["Name", "Id"] -df = spark.createDataFrame(data, columns) - -# Show the DataFrame -df.show() @pytest.fixture -def sample_data(spark): - """Fixture for creating a sample Spark DataFrame.""" - schema = StructType([ - StructField("experiment_id", StringType(), True), - StructField("treatment", IntegerType(), True), - StructField("outcome1", IntegerType(), True), - StructField("covariate1", IntegerType(), True), - ]) - data = [ - ("exp1", 1, 10, 5), - ("exp1", 0, 12, 6), - ("exp2", 1, 15, 7), - ("exp2", 0, 11, 8), - ] - return spark.createDataFrame(data, schema) - -def test_check_input(sample_data): - """Test the __check_input method of ExperimentAnalyzer.""" - outcomes = ["outcome1"] +def sample_data( + n_model=1000, + n_random=500, + base_model_conversion_mean=0.3, + base_model_conversion_variance=0.01, + base_random_conversion_mean=0.10, + base_random_conversion_variance=0.01, + model_treatment_effect=0.05, + random_treatment_effect=0.05, + random_seed=42, +): + + np.random.seed(random_seed) + + # Function to get a truncated normal distribution + def get_truncated_normal(mean, variance, size): + std_dev = np.sqrt(variance) + lower, upper = 0, 1 + a, b = (lower - mean) / std_dev, (upper - mean) / std_dev + return truncnorm.rvs(a, b, loc=mean, scale=std_dev, size=size) + + # Generate baseline conversions with a truncated normal distribution + base_model_conversion = get_truncated_normal( + base_model_conversion_mean, base_model_conversion_variance, n_model + ) + base_random_conversion = get_truncated_normal( + base_random_conversion_mean, base_random_conversion_variance, n_random + ) + + # model group data + model_treatment = np.random.binomial(1, 0.8, n_model) + model_conversion = ( + base_model_conversion + model_treatment_effect * model_treatment + ) > np.random.rand(n_model) + + model_data = pd.DataFrame( + { + "experiment": 123, + "group": "model", + "treatment": model_treatment, + "conversion": model_conversion.astype(int), + "baseline_conversion": base_model_conversion, + } + ) + + # random group data + random_treatment = np.random.binomial(1, 0.5, n_random) + random_conversion = ( + base_random_conversion + random_treatment_effect * random_treatment + ) > np.random.rand(n_random) + random_data = pd.DataFrame( + { + "experiment": 123, + "group": "random", + "treatment": random_treatment, + "conversion": random_conversion.astype(int), + "baseline_conversion": base_random_conversion, + } + ) + + # Combine data + data = pd.concat([model_data, random_data]) + df = spark.createDataFrame(data) + + return df + + +def test_no_covariates(sample_data): + """Test get_effects no covariates""" + outcomes = "conversion" treatment_col = "treatment" - experiment_identifier = ["experiment_id"] - covariates = ["covariate1"] + experiment_identifier = "experiment" analyzer = ExperimentAnalyzer( data=sample_data, outcomes=outcomes, treatment_col=treatment_col, - experiment_identifier=experiment_identifier, - covariates=covariates - ) + experiment_identifier=experiment_identifier) + # This should not raise an error since all columns are present try: - analyzer._ExperimentAnalyzer__check_input() + analyzer.get_effects() + analyzer.results assert True except Exception as e: - pytest.fail(f"__check_input raised an exception: {e}") + pytest.fail(f" raised an exception: {e}") -def test_missing_columns(sample_data): - """Test the __check_input method with missing columns.""" - outcomes = ["outcome1"] + +def test_no_adjustment(sample_data): + """Test get_effects no adjustments""" + outcomes = "conversion" treatment_col = "treatment" - experiment_identifier = ["experiment_id"] - covariates = ["missing_covariate"] + experiment_identifier = "experiment" + covariates = "baseline_conversion" analyzer = ExperimentAnalyzer( data=sample_data, @@ -72,6 +114,10 @@ def test_missing_columns(sample_data): covariates=covariates ) - # Expecting an error due to missing covariate - with pytest.raises(Exception, match="The following required columns are missing from the dataframe"): - analyzer._ExperimentAnalyzer__check_input() + # This should not raise an error since all columns are present + try: + analyzer.get_effects() + analyzer.results + assert True + except Exception as e: + pytest.fail(f" raised an exception: {e}") \ No newline at end of file From 8ad3805a209021f5dcc90ddd6b862d062ca8045a Mon Sep 17 00:00:00 2001 From: Sebastian Daza Date: Sun, 8 Dec 2024 14:30:23 +0100 Subject: [PATCH 5/6] update --- pyproject.toml | 53 ++++++++++----------- tests/.github/workflows/python-testing.yaml | 35 ++++++++++++++ 2 files changed, 61 insertions(+), 27 deletions(-) create mode 100644 tests/.github/workflows/python-testing.yaml diff --git a/pyproject.toml b/pyproject.toml index fa684b8..8668646 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,44 +1,43 @@ [build-system] -requires = ["setuptools>=42", "wheel"] -build-backend = "setuptools.build_meta" +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" -[project] +[tool.poetry] name = "experiment-utils" version = "0.0.1" description = "Utils for experimental design and analysis" readme = "README.md" -requires-python = ">=3.7" -license = {text = "MIT"} authors = [ { name = "Sebastian Daza", email = "sebastian.daza@gmail.com" } ] - +license = "MIT" keywords = [ - 'causality', - 'causal-inference', - 'statistics', - 'experimentation', - 'power-analysis' + "causality", + "causal-inference", + "statistics", + "experimentation", + "power-analysis" ] - classifiers = [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.7" ] -dependencies = [ - "numpy>=1.21.5", - "pandas>=1.4.4", - "matplotlib>=3.5.2", - "seaborn>=0.11.2", - "multiprocess>=0.70.14", - "statsmodels>=0.13.2", - "scipy>=1.9.1", - "dowhy>=0.11.1", - "linearmodels>=6.1", - "pytest>=8.3.4", - "pyspark>=3.5.3" -] -[tool.setuptools] -packages = {find = {exclude = ["tests"]}} +[tool.poetry.dependencies] +python = ">=3.7" +numpy = ">=1.21.5" +pandas = ">=1.4.4" +matplotlib = ">=3.5.2" +seaborn = ">=0.11.2" +multiprocess = ">=0.70.14" +statsmodels = ">=0.13.2" +scipy = ">=1.9.1" +dowhy = ">=0.11.1" +linearmodels = ">=6.1" +pytest = ">=8.3.4" +pyspark = ">=3.5.3" + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" \ No newline at end of file diff --git a/tests/.github/workflows/python-testing.yaml b/tests/.github/workflows/python-testing.yaml new file mode 100644 index 0000000..42bb6c0 --- /dev/null +++ b/tests/.github/workflows/python-testing.yaml @@ -0,0 +1,35 @@ +name: Python Testing + +on: + push: + branches: + - '**' # Triggers on any branch + pull_request: + branches: + - '**' # Triggers on pull requests to any branch + +jobs: + test: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v2 + + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.10' # Specify the Python version + + - name: Install Poetry + run: | + python -m pip install --upgrade pip + pip install poetry + + - name: Install dependencies + run: | + poetry install + + - name: Run tests + run: | + poetry run pytest tests/ # Adjust the path to your test directory \ No newline at end of file From 038967fe38ac90a93e6c81fc9d3d5e51aeb3e3e2 Mon Sep 17 00:00:00 2001 From: Sebastian Daza Date: Sun, 8 Dec 2024 14:50:28 +0100 Subject: [PATCH 6/6] update --- .../workflows/ci.yaml | 2 +- poetry.lock | 1769 +++++++++++++++++ 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