class MongoDbContainer(image: str = 'mongo:latest', port: int = 27017, username: str | None = None, password: str | None = None, dbname: str | None = None, **kwargs)

Mongo document-based database container.

Example

>>> from testcontainers.community.mongodb import MongoDbContainer

>>> with MongoDbContainer("mongo:7.0.7") as mongo:
...    db = mongo.get_connection_client().test
...    # Insert a database entry
...    result = db.restaurants.insert_one(
...        {
...            "name": "Vella",
...            "cuisine": "Italian",
...            "restaurant_id": "123456"
...        }
...    )
...    # Find the restaurant document
...    result = db.restaurants.find_one({"name": "Vella"})
...    result["restaurant_id"]
'123456'

class MongoDBAtlasLocalContainer(image: str = 'mongodb/mongodb-atlas-local:latest', port: int = 27017, username: str | None = None, password: str | None = None, dbname: str | None = None, **kwargs)

MongoDB Atlas Local document-based database container.

This is the local version of the Mongo Atlas service. It includes Mongo DB and Mongo Atlas Search services .. rubric:: Example

>>> from testcontainers.community.mongodb import MongoDBAtlasLocalContainer
>>> import time
>>> with MongoDBAtlasLocalContainer("mongodb/mongodb-atlas-local:8.0.13") as mongo:
...    db = mongo.get_connection_client().test
...    # Insert a database entry
...    result = db.restaurants.insert_one(
...        {
...            "name": "Vella",
...            "cuisine": "Italian",
...            "restaurant_id": "123456"
...        }
...    )
...    # add an index
...    _ = db.restaurants.create_search_index(
...        {
...            "definition": {
...                "mappings": {
...                    "dynamic": True
...                }
...            },
...            "name": "default"
...        }
...    )
...     # wait for the index to be created
...    time.sleep(1)
...
...    # Find the restaurant document
...    result = db.restaurants.aggregate([{
...        "$search": {
...            "index": "default",
...            "text": {
...                "query": "Vella",
...                "path": "name"
...            }
...        }
...    }]).next()
...    result["restaurant_id"]
'123456'