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optimized sequential_checks.py under module5/prefect #21

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optimized sequential_checks.py under module5/prefect #21

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86 changes: 44 additions & 42 deletions module5/prefect_sequential_checks/sequential_checks.py
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Original file line number Diff line number Diff line change
@@ -1,64 +1,66 @@
import os
import pandas as pd
import pandas as pd

from datetime import datetime, timedelta
from sklearn import datasets

from prefect import flow, task
from prefect.task_runners import SequentialTaskRunner

from evidently.test_suite import TestSuite
from evidently.test_preset import DataDriftTestPreset, DataQualityTestPreset, DataStabilityTestPreset
from evidently.test_suite import TestSuite
from evidently.test_preset import (
DataDriftTestPreset,
DataQualityTestPreset,
DataStabilityTestPreset,
)

dir_path = "reports"


@task(name="LOAD_DATA", retries=3, retry_delay_seconds=15)
def load_bank_data():
bank_marketing = datasets.fetch_openml(name='bank-marketing', as_frame='auto')
bank_marketing_data = bank_marketing.frame
reference_data = bank_marketing_data[5000:7000]
prod_simulation_data = bank_marketing_data[7000:]
batch_size = 2000
return reference_data, prod_simulation_data[:batch_size]
def load_bank_data(batch_size: int = 2000):
bank_marketing = datasets.fetch_openml(name="bank-marketing", as_frame="auto")
bank_marketing_data = bank_marketing.frame
reference_data = bank_marketing_data[5000:7000]
prod_simulation_data = bank_marketing_data[7000:]
return reference_data, prod_simulation_data[:batch_size]


@task(name="CHECK_QUALITY", retries=3, retry_delay_seconds=15)
def run_data_quality_test_suite(reference: pd.DataFrame, current: pd.DataFrame, ):
data_quality_suite = TestSuite(tests=[DataQualityTestPreset()])
data_quality_suite.run(reference_data=reference, current_data=current)
if not data_quality_suite.as_dict()['summary']['all_passed']:
try:
os.mkdir(dir_path)
except OSError:
print("Creation of the directory {} failed".format(dir_path))
data_quality_suite.save_html(os.path.join(dir_path, "data_quality_suite.html"))
def run_data_quality_test_suite(reference: pd.DataFrame, current: pd.DataFrame):
data_quality_suite = TestSuite(tests=[DataQualityTestPreset()])
data_quality_suite.run(reference_data=reference, current_data=current)
handle_test_suite_results(data_quality_suite, "data_quality_suite.html")


@task(name="CHECK_STABILITY", retries=3, retry_delay_seconds=15)
def run_data_stability_test_suite(reference: pd.DataFrame, current: pd.DataFrame):
data_stability_suite = TestSuite(tests=[DataQualityTestPreset()])
data_stability_suite.run(reference_data=reference, current_data=current)
if not data_stability_suite.as_dict()['summary']['all_passed']:
try:
os.mkdir(dir_path)
except OSError:
print("Creation of the directory {} failed".format(dir_path))
data_stability_suite.save_html(os.path.join(dir_path, "data_stability_suite.html"))
data_stability_suite = TestSuite(tests=[DataStabilityTestPreset()])
data_stability_suite.run(reference_data=reference, current_data=current)
handle_test_suite_results(data_stability_suite, "data_stability_suite.html")


@task(name="CHECK_DRIFT", retries=3, retry_delay_seconds=15)
def run_data_drift_test_suite(reference: pd.DataFrame, current: pd.DataFrame):
data_drift_suite = TestSuite(tests=[DataDriftTestPreset()])
data_drift_suite.run(reference_data=reference, current_data=current)
if not data_drift_suite.as_dict()['summary']['all_passed']:
try:
os.mkdir(dir_path)
except OSError:
print("Creation of the directory {} failed".format(dir_path))
data_drift_suite.save_html(os.path.join(dir_path, "data_drift_suite.html"))
data_drift_suite = TestSuite(tests=[DataDriftTestPreset()])
data_drift_suite.run(reference_data=reference, current_data=current)
handle_test_suite_results(data_drift_suite, "data_drift_suite.html")


def handle_test_suite_results(test_suite, filename):
if not test_suite.as_dict()["summary"]["all_passed"]:
try:
os.mkdir(dir_path)
except OSError:
print("Creation of the directory {} failed".format(dir_path))
test_suite.save_html(os.path.join(dir_path, filename))


@flow(task_runner=SequentialTaskRunner)
def checks_flow():
reference, current = load_bank_data()
run_data_quality_test_suite(reference, current)
run_data_stability_test_suite(reference, current)
run_data_drift_test_suite(reference, current)
batch_size = 2000
reference, current = load_bank_data(batch_size=batch_size)
run_data_quality_test_suite(reference, current)
run_data_stability_test_suite(reference, current)
run_data_drift_test_suite(reference, current)


checks_flow()
checks_flow()