easycloudapi


Nameeasycloudapi JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/easycloudapi/python_utility
SummaryProviding utility functions to help other python developers
upload_time2023-08-03 21:18:37
maintainer
docs_urlNone
authorIndranil Pal
requires_python>=3.8
license
keywords utility gcp
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # easycloudapi
The `easycloudapi` is a simple uitility to provide ease of developing experience for any Python Applications.


## Functionality Availaible:
1. Generate Date Dimension
2. Generate Bigquery Schema from Json

## Code Samples:

### Generate Bigquery Schema-
1. You can directly pass json/dict object to the `generate_bq_schema` method
    ```python
    from easycloudapi.gcp.bigquery.bigquery_schema import BigquerySchema

    sample_json = {
        "name": "Danilo",
        "age": 32,
        "date_joined": "2020-11-05",
        "location": {"country": "United Kingdom", "city": "London"},
        "years_active": [2020, 2021, 2022],
        "favourite_movies": [
            {"name": "Momento", "year": "2000"},
            {"name": "Se7en", "year": "1995"},
            {"name": "Momento", "year": "2000"}
        ]
    }

    bq_schema_obj = BigquerySchema()
    out_generate_bq_schema = bq_schema_obj.generate_bq_schema(data=sample_json)

    print(f"out_generate_bq_schema:\n{out_generate_bq_schema}")
    ```

2. You can also convert the json file into json/dict object and pass to the `generate_bq_schema` method
    ```python
    import json
    from easycloudapi.gcp.bigquery.bigquery_schema import BigquerySchema


    bq_schema_obj = BigquerySchema()
    with open("tests//test_data//sample_json_01.json") as json_file:
        sample_dict = json.load(json_file)

    out_generate_bq_schema = bq_schema_obj.generate_bq_schema(data=sample_dict)
    print(out_generate_bq_schema)
    ```

### Date Functionality-
1. Generate Date Dimension
    ```python
    from easycloudapi.generic.datetime.generate_date_dimention import generate_date_dimension

    out1 = generate_date_dimension(start_date="2023\\08\\01", end_date="2023\\08\\03")
    print(f"out1: {out1}")
    out2 = generate_date_dimension(start_date="2023/08/01", end_date="2023/08/03")
    print(f"out2: {out2}")
    out3 = generate_date_dimension(start_date="2023-08-01", end_date="2023-08-03")
    print(f"out3: {out3}")
    ```

## How to Contribute
1. Refer to [Developer Guide](developer.md)



## MIT License

Copyright (c) 2023 easycloudapi

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

            

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