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def get_database():

from pymongo import MongoClient

import pymongo

# Provide the mongodb atlas url to connect python to mongodb using pymongo

CONNECTION_STRING = 'mongodb+srv://<username>:<password>@<cluster-name>.mongodb.net/myFirstDatabase'

# Create a connection using MongoClient. You can import MongoClient or use pymongo.MongoClient

from pymongo import MongoClient

client = MongoClient(CONNECTION_STRING)

# Create the database for our example (we will use the same database throughout the tutorial

return client['user_shopping_list']

# Add this to execute only the called functions from other files

if __name__ == "__main__":

# Get the database

dbname = get_database()

# Create a new collection

collection_name = dbname["user_1_items"]

# Create the first document

item_1 = {

"_id" : "U1IT00001",

"item_name" : "Blender",

"max_discount" : "10%",

"batch_number" : "RR450020FRG",

"price" : 340,

"category" : "kitchen appliance"

}

# Create the second document

item_2 = {

"_id" : "U1IT00002",

"item_name" : "Egg",

"category" : "food",

"quantity" : 12,

"price" : 36,

"item_description" : "brown country eggs"

}

# Insert both the documents at once using insert_many()

collection_name.insert_many([item_1,item_2])

# Parsing date for the third document

from dateutil import parser

expiry_date = '2021-07-13T00:00:00.000Z'

expiry = parser.parse(expiry_date)

# Create document 3

item_3 = {

"item_name" : "Bread",

"quantity" : 2,

"ingredients" : "all-purpose flour",

"expiry_date" : expiry

}

# Insert single document

collection_name.insert_one(item_3)

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pymongo_test_insert.py

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