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[ | ||
{ | ||
"validation": "DELETED_COUNT", | ||
"threshold": 1 | ||
}, | ||
{ | ||
"validation": "MODIFIED_COUNT" | ||
}, | ||
{ | ||
"validation": "ADDED_COUNT" | ||
}, | ||
{ | ||
"validation": "UNMODIFIED_COUNT" | ||
} | ||
] |
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# Copyright 2020 Google LLC | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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from absl import app | ||
from absl import flags | ||
from absl import logging | ||
from enum import Enum | ||
import pandas as pd | ||
import os | ||
import json | ||
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FLAGS = flags.FLAGS | ||
flags.DEFINE_string('config_file', 'config.json', | ||
'Path to the validation config file.') | ||
flags.DEFINE_string('differ_output_location', '.', | ||
'Path to the differ output data.') | ||
flags.DEFINE_string('stats_summary_location', '.', | ||
'Path to the stats summary report.') | ||
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POINT_ANALAYSIS_FILENAME = 'point-analysis-summary.csv' | ||
STATS_SUMMARY_FILENAME = 'summary_report.csv' | ||
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Validation = Enum('Validation', [ | ||
('MODIFIED_COUNT', 1), | ||
('UNMODIFIED_COUNT', 2), | ||
('ADDED_COUNT', 3), | ||
('DELETED_COUNT', 4), | ||
('LATEST_DATA', 5), | ||
]) | ||
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class ImportValidation: | ||
''' | ||
Import validation | ||
''' | ||
def __init__(self, config_file: str): | ||
logging.info('Reading config from %s', config_file) | ||
self.validation_map = { | ||
Validation.MODIFIED_COUNT: self._modified_count_validation, | ||
Validation.ADDED_COUNT: self._added_count_validation, | ||
Validation.DELETED_COUNT: self._deleted_count_validation, | ||
Validation.UNMODIFIED_COUNT: self._unmodified_count_validation | ||
} | ||
with open(config_file, encoding='utf-8') as fd: | ||
validation_config = json.load(fd) | ||
for config in validation_config: | ||
self.run_validation(config) | ||
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def _latest_data_validation(self, config: dict): | ||
logging.info('Not yet implemented') | ||
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def _deleted_count_validation(self, config: dict): | ||
df = pd.read_csv(os.path.join( | ||
FLAGS.differ_output_location, POINT_ANALAYSIS_FILENAME)) | ||
if df['deleted'].sum() > config['threshold']: | ||
raise AssertionError(f'Validation failed: {config["validation"]}') | ||
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def _modified_count_validation(self, config: dict): | ||
df = pd.read_csv(os.path.join( | ||
FLAGS.differ_output_location, POINT_ANALAYSIS_FILENAME)) | ||
if df['modified'].nunique() > 1: | ||
raise AssertionError(f'Validation failed: {config["validation"]}') | ||
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def _added_count_validation(self, config: dict): | ||
df = pd.read_csv(os.path.join( | ||
FLAGS.differ_output_location, POINT_ANALAYSIS_FILENAME)) | ||
if df['added'].nunique() > 1: | ||
raise AssertionError(f'Validation failed: {config["validation"]}') | ||
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def _unmodified_count_validation(self, config: dict): | ||
df = pd.read_csv(os.path.join( | ||
FLAGS.differ_output_location, POINT_ANALAYSIS_FILENAME)) | ||
if df['same'].nunique() > 1: | ||
raise AssertionError(f'Validation failed: {config["validation"]}') | ||
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def run_validation(self, config): | ||
try: | ||
self.validation_map[Validation[config['validation']]](config) | ||
logging.info('Validation passed: %s', config['validation']) | ||
except AssertionError as exc: | ||
logging.error(exc) | ||
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def main(_): | ||
ImportValidation(FLAGS.config_file) | ||
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if __name__ == '__main__': | ||
app.run(main) |