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

   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

   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

   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