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mongodb-python-manager
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The MongoDBManager class is a wrapper around the pymongo package, designed to simplify the usage of MongoDB in Python applications. It provides convenient methods for connecting to a MongoDB cluster, accessing a specific database and collection, and performing common CRUD operations.
You can install the package using pip:
pip install mongodb_python_manager
To use the MongoDBManager class, follow these steps:
from mongodb_python_manager import MongoDBManager
mongo_db_cluster = 'your_cluster_uri'
mongodb_db_name = 'your_database_name'
mongo_db_user = 'your_username' # Optional
mongo_db_password = 'your_password' # Optional
mongodb_manager = MongoDBManager(
mongo_db_cluster=mongo_db_cluster,
mongodb_db_name=mongodb_db_name,
mongo_db_user=mongo_db_user,
mongo_db_password=mongo_db_password
)
collection_name = 'your_collection_name'
mongodb_manager.set_collection_name(collection_name)
item = {'key1': 'value1', 'key2': 'value2'}
mongodb_manager.insert_content_in_collection(item)
items = [{'key1': 'value1'}, {'key2': 'value2'}]
mongodb_manager.insert_many_content_in_collection(items)
item_id = 'your_item_id'
updated_item = {'key1': 'new_value1', 'key2': 'new_value2'}
mongodb_manager.update_document_in_collection(updated_item, item_id)
items = [
{
'id': 'item_id1',
'key1': 'new_value1'
},
{
'id': 'item_id2',
'key2': 'new_value2'
}
]
mongodb_manager.update_many_documents_in_collection(items, 'id')
documents = mongodb_manager.get_all_documents_from_collection()
item_id = 'your_item_id'
mongodb_manager.delete_content_in_collection(item_id)
mongodb_manager.delete_all_documents_from_collection()
mongodb_manager.client.close()
The MongoDBManager class expects the MongoDB cluster URI, database name, and optionally, a username and password. By default, it looks for these values in environment variables named MONGO_DB_CLUSTER, MONGODB_DB_NAME, MONGO_DB_USER, and MONGO_DB_PASSWORD. Alternatively, you can provide these values directly when creating an instance of MongoDBManager.
Ensure that you have the necessary permissions and access credentials to connect to your MongoDB cluster and perform operations on the specified database and collection.
The MongoDBManager class relies on the following packages:
pymongo: The MongoDB Python driver for interacting with the MongoDB server.python-dotenv: A package for reading configuration variables from .env files.Here's a simple example that demonstrates the usage of the MongoDBManager class:
from mongodb_manager import MongoDBManager
# Create an instance of MongoDBManager
mongo_db_cluster = 'your_cluster_uri'
mongodb_db_name = 'your_database_name'
mongo_db_user = 'your_username' # Optional
mongo_db_password = 'your_password' # Optional
mongodb_manager = MongoDBManager(mongo_db_cluster, mongodb_db_name, mongo_db_user, mongo_db_password)
# Set the collection name
collection_name = 'your_collection_name'
mongodb_manager.set_collection_name(collection_name)
# Insert a single document
item = {'name': 'John', 'age': 30}
mongodb_manager.insert_content_in_collection(item)
# Insert multiple documents
items = [{'name': 'Alice', 'age': 25}, {'name': 'Bob', 'age': 35}]
mongodb_manager.insert_many_content_in_collection(items)
# Update a document by ID
item_id = 'your_item_id'
updated_item = {'name': 'John Doe', 'age': 31}
mongodb_manager.update_document_in_collection(updated_item, item_id)
# Get all documents from the collection
documents = mongodb_manager.get_all_documents_from_collection()
# Print the retrieved documents
for document in documents:
print(document)
# Delete a document by ID
item_id = 'your_item_id'
mongodb_manager.delete_content_in_collection(item_id)
# Delete all documents from the collection
mongodb_manager.delete_all_documents_from_collection()
# Close the MongoDB connection
mongodb_manager.client.close()
Make sure to replace 'your_cluster_uri', 'your_database_name', 'your_username', 'your_password', and 'your_collection_name' with your actual MongoDB cluster URI, database name, username, password, and collection name respectively.
FAQs
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We found that mongodb-python-manager demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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