Skip to main content

Python DSL for setting up Flask app CDC

Project description

How to use

Install pip install avro-helper-devlibx

Quick example

from devlibx_avro_helper.month_data import MonthDataAvroHelper

base64Str = "BgY3LTMCBjYtNgIGNy01BAAAAAI="
helper = MonthDataAvroHelper()
result = helper.process(base64Str)
print(result)

# Result
# {'days': {'8-16': 110, '8-17': 111, '8-14': 108, '8-15': 109, '8-18': 112, '8-19': 113, '8-30': 124, '8-31': 125, '8-12': 106, '8-13': 107, '8-10': 104, '8-11': 105, '9-1': 126, '9-2': 127, '9-3': 128, '8-27': 121, '9-4': 129, '8-6': 100, '8-28': 122, '8-7': 101, '8-25': 119, '8-8': 102, '8-26': 120, '8-9': 103, '8-29': 123, '8-20': 114, '8-23': 117, '8-24': 118, '8-21': 115, '8-22': 116}, 'entity_id': 'harish_1'}

Get data for this month

In this example we would have data in base 64 encoding. We will get aggregated data for this month

from devlibx_avro_helper.month_data import MonthDataAvroHelper
from datetime import datetime


def test_process_and_return_aggregation_for_month(self):
    base64Str = "AgoGNy0xAgY3LTICBjctMwIGNy00AgY3LTUKAAAAAAI="
    helper = MonthDataAvroHelper()
    result = helper.process(base64Str)
    print(result)
    # Output = {'days': {'7-1': 1, '7-2': 1, '7-3': 1, '7-4': 1, '7-5': 5}, 'days_str': None, 'entity_id': None, 'sub_entity_id': None, 'version': 1}

    date_time_str = '05/07/22 01:55:19'
    date_time_obj = datetime.strptime(date_time_str, '%d/%m/%y %H:%M:%S')

    # if you are looking for data for this month then use can use
    # helper.process_and_return_aggregation_for_this_month(base64Str)
    result = helper.process_and_return_aggregation_for_month(date_time_obj, base64Str)
    self.assertEqual(9, result, "result should be 9")
    # Output = 9

Get data for this week (last 7 days)

from devlibx_avro_helper.month_data import MonthDataAvroHelper
from datetime import datetime


def test_process_and_return_aggregation_for_week(self):
    # Test 1 - data from generateDataFor_test_parsing_Test_2
    base64Str = "Ag4INi0yOQIGNy0xAgY3LTICCDYtMzACBjctMwIGNy00AgY3LTUKAAAAAAI=="
    helper = MonthDataAvroHelper()
    result = helper.process(base64Str)
    print(result)
    # Output = {'days': {'6-29': 1, '7-1': 1, '7-2': 1, '6-30': 1, '7-3': 1, '7-4': 1, '7-5': 5}, 'days_str': None, 'entity_id': None, 'sub_entity_id': None, 'version': 1}

    date_time_str = '05/07/22 01:55:19'
    date_time_obj = datetime.strptime(date_time_str, '%d/%m/%y %H:%M:%S')

    # if you are looking for data for this month then use can use
    # helper.process_and_return_aggregation_for_this_week(base64Str)
    result = helper.process_and_return_aggregation_for_week(date_time_obj, base64Str)
    self.assertEqual(11, result, "result should be 9")
    # Output = 11

Get data for this week (last 7 days)

from devlibx_avro_helper.month_data import MonthDataAvroHelper
from datetime import datetime


def test_process_and_return_for_day(self):
    # Test 1 - data from generateDataFor_test_parsing_Test_2
    base64Str = "Ag4INi0yOQIGNy0xAgY3LTICCDYtMzACBjctMwIGNy00AgY3LTUKAAAAAAI=="
    helper = MonthDataAvroHelper()
    result = helper.process(base64Str)
    print(result)
    # Output = {'days': {'6-29': 1, '7-1': 1, '7-2': 1, '6-30': 1, '7-3': 1, '7-4': 1, '7-5': 5}, 'days_str': None, 'entity_id': None, 'sub_entity_id': None, 'version': 1}

    date_time_str = '05/07/22 01:55:19'
    date_time_obj = datetime.strptime(date_time_str, '%d/%m/%y %H:%M:%S')

    # if you are looking for data for this month then use can use
    # helper.process_and_return_aggregation_for_this_month(base64Str)
    result = helper.process_and_return_for_today(date_time_obj, base64Str)
    self.assertEqual(5, result, "result should be 9")
    # Output = 5

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

avro-helper-devlibx-0.0.12.tar.gz (4.4 kB view hashes)

Uploaded Source

Built Distribution

avro_helper_devlibx-0.0.12-py3-none-any.whl (4.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page