Metadata-Version: 2.1
Name: python_nosql_logger
Version: 1.0.8
Summary: For logging & accessing application data with NoSQL databases (MongoDB & ElasticSearch)
Home-page: https://github.com/hiteshmishra708/python-nosql-logger
Author: Hitesh Mishra
Author-email: hiteshmishra708@gmail.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/hiteshmishra708/python-nosql-logger/issues
Project-URL: Say Thanks!, https://linkedin.com/in/hiteshmishra708/
Project-URL: Source, https://github.com/hiteshmishra708/python-nosql-logger/
Description: # python-nosql-logger
        
        ## Installation steps if using MongoDB
        
        ```
          pip install pymongo #"pymongo[srv]" or "pymongo[aws]"
          pip install python-nosql-logger
        ```
        
        ### Initialize
        #### For synchronous mongo logger
        ```
          from pynosql_logger.loggers import MongoLogger
        
          connection_string = 'your_mongodb_connection_string'
          logger = MongoLogger(connection_string)
        ```
        #### For asynchronous mongo logger
        ```
          from pynosql_logger.async_loggers import AsyncMongoLogger
          
          connection_string = 'your_mongodb_connection_string'
          logger = AsyncMongoLogger(connection_string)
        ```
        
        ## Installation steps if using ElasticSearch
        
        ```
          pip install requests
          pip install python-nosql-logger
        ```
        
        ### Initialize
        #### For synchronous elastic logger
        ```
          from pynosql_logger.loggers import ElasticLogger
          
          elastic_url = 'http://127.0.0.1:9200'
          logger = ElasticLogger(elastic_url)
        ```
        #### For asynchronous elastic logger
        ```
          from pynosql_logger.async_loggers import AsyncElasticLogger
          
          elastic_url = 'http://127.0.0.1:9200'
          logger = AsyncElasticLogger(elastic_url)
        ```
        
        ### Add Log
        ```
          req_json = {
              'users': {
                  'first_name': 'Hitesh',
                  'last_name': 'Mishra',
                  'email': 'hiteshmishra708@gmail.com'
              }
          }
          resp = logger.add_log(req_json)
        ```
        
        ### Add Bulk Log
        ```
          req_json = {
              'users': [{
                  'first_name': 'Test',
                  'last_name': 'User 1',
                  'email': 'testuser1@mailnesia.com'
              }, {
                  'first_name': 'Test',
                  'last_name': 'User 2',
                  'email': 'testuser2@mailnesia.com'
              }]
          }
          resp = logger.add_log(req_json)
        ```
        
        ### Get Log
        You can pass mongo query or elastic query to get the logs
        ```
          req_json = {
              'users': {
                'first_name': 'Hitesh'
              }
          }
          resp = logger.get_log(req_json)
        ```
        
        ### Get All Logs
        ```
          req_json = {
              'collection': 'users'
          }
          resp = logger.get_all_logs(req_json)
        ```
Keywords: logger,django logger,flask logger,nosql logger,mongodb logger,setuptools,development,elasticsearch,elastic search logging
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
