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Description:

pythonnosqllogger 1.1.6

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)