Metadata-Version: 2.1
Name: pygbq
Version: 0.24
Summary: Easily integrate data in BigQuery
Home-page: https://github.com/ZiggerZZ/pygbq
Author: Zigfrid Zvezdin
Author-email: ziggerzz@gmail.com
License: UNKNOWN
Description: # PyGBQ
        
        > Easily integrate data in BigQuery
        
        ## Example
        
        The following snippet
        
        ```python
        from pygbq import Client
        import requests
        client = Client(default_dataset='Finance')
        
        def transactions(start_date):
            data = requests.get(url='some/api/endpoint', headers={'start_date': start_date}).json()
            client.update_table_using_temp(data=data, table_id='transactions', how=['id'])
            return {'status': 200}
        
        if __name__ == "__main__":
            transactions("2020-11-25")
        ```
        
        will upsert data to table `Finance.transactions` by `id`.
        
        ## Install and set up
        
        `pip install pygbq`
        
        Set up the [authentication](https://cloud.google.com/docs/authentication/getting-started).
        
        ## Documentation
        
        * Client - you can set `default_dataset`, `save_dir`, `path_to_key`
        * Client.update_table_using_temp - the main update function, use `how='insert'` to insert data 
        and `how=['field1', 'field2']` to upsert (merge) by `field1` and `field2`  
        * read_jsonl - read newline delimited json  
        * Client.get_secret - get a secret version from Secret Manager  
        * Client.add_secret - add a secret version to Secret Manager
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
