Mongodb-python-connector

Latest version: v0.0.1

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1.0.1

Description

This code defines a class `mongo_operation` that provides methods for interacting with a MongoDB database. The class allows you to create a MongoDB client, create collections, and insert data in bulk. It supports both single records and lists of records, as well as CSV and Excel file formats.

How to Use

To use this class as a package on PyPI, you can follow these steps:

1. **Install the Package**:
bash
pip install mongodb_connect


2. **Import the Class**:
python
from mongodb_connect import mongo_crud


3. **Create an Instance of the Class**:
python
mongo = mongo_operation(client_url='mongodb://localhost:27017/', database_name='mydatabase', collection_name='mycollection')


4. **Use the Methods**:
python
Insert a single record
mongo.insert_record({'name': 'John', 'age': 30})

Insert multiple records
records = [{'name': 'Jane', 'age': 25}, {'name': 'Bob', 'age': 40}]
mongo.insert_record(records)

Bulk insert data from a CSV file
mongo.bulk_insert('data.csv')

Bulk insert data from an Excel file
mongo.bulk_insert('data.xlsx')

1.0.0

Description

This code defines a class `mongo_operation` that provides methods for interacting with a MongoDB database. The class allows you to create a MongoDB client, create collections, and insert data in bulk. It supports both single records and lists of records, as well as CSV and Excel file formats.

How to Use

To use this class as a package on PyPI, you can follow these steps:

1. **Install the Package**:
bash
pip install mongodb_connect


2. **Import the Class**:
python
from mongodb_connect import mongo_crud


3. **Create an Instance of the Class**:
python
mongo = mongo_operation(client_url='mongodb://localhost:27017/', database_name='mydatabase', collection_name='mycollection')


4. **Use the Methods**:
python
Insert a single record
mongo.insert_record({'name': 'John', 'age': 30})

Insert multiple records
records = [{'name': 'Jane', 'age': 25}, {'name': 'Bob', 'age': 40}]
mongo.insert_record(records)

Bulk insert data from a CSV file
mongo.bulk_insert('data.csv')

Bulk insert data from an Excel file
mongo.bulk_insert('data.xlsx')

0.0.3

Description

This code defines a class `mongo_operation` that provides methods for interacting with a MongoDB database. The class allows you to create a MongoDB client, create collections, and insert data in bulk. It supports both single records and lists of records, as well as CSV and Excel file formats.

How to Use

To use this class as a package on PyPI, you can follow these steps:

1. **Install the Package**:
bash
pip install mongodb_connect


2. **Import the Class**:
python
from mongodb_connect import mongo_crud


3. **Create an Instance of the Class**:
python
mongo = mongo_operation(client_url='mongodb://localhost:27017/', database_name='mydatabase', collection_name='mycollection')


4. **Use the Methods**:
python
Insert a single record
mongo.insert_record({'name': 'John', 'age': 30})

Insert multiple records
records = [{'name': 'Jane', 'age': 25}, {'name': 'Bob', 'age': 40}]
mongo.insert_record(records)

Bulk insert data from a CSV file
mongo.bulk_insert('data.csv')

Bulk insert data from an Excel file
mongo.bulk_insert('data.xlsx')

0.0.2

Description

This code defines a class `mongo_operation` that provides methods for interacting with a MongoDB database. The class allows you to create a MongoDB client, create collections, and insert data in bulk. It supports both single records and lists of records, as well as CSV and Excel file formats.

How to Use

To use this class as a package on PyPI, you can follow these steps:

1. **Install the Package**:
bash
pip install mongodb_connect


2. **Import the Class**:
python
from mongodb_connect import mongo_crud


3. **Create an Instance of the Class**:
python
mongo = mongo_operation(client_url='mongodb://localhost:27017/', database_name='mydatabase', collection_name='mycollection')


4. **Use the Methods**:
python
Insert a single record
mongo.insert_record({'name': 'John', 'age': 30})

Insert multiple records
records = [{'name': 'Jane', 'age': 25}, {'name': 'Bob', 'age': 40}]
mongo.insert_record(records)

Bulk insert data from a CSV file
mongo.bulk_insert('data.csv')

Bulk insert data from an Excel file
mongo.bulk_insert('data.xlsx')

0.0.1

Description

This code defines a class `mongo_operation` that provides methods for interacting with a MongoDB database. The class allows you to create a MongoDB client, create collections, and insert data in bulk. It supports both single records and lists of records, as well as CSV and Excel file formats.

How to Use

To use this class as a package on PyPI, you can follow these steps:

1. **Install the Package**:
bash
pip install mongodb_connect


2. **Import the Class**:
python
from mongodb_connect import mongo_crud


3. **Create an Instance of the Class**:
python
mongo = mongo_operation(client_url='mongodb://localhost:27017/', database_name='mydatabase', collection_name='mycollection')


4. **Use the Methods**:
python
Insert a single record
mongo.insert_record({'name': 'John', 'age': 30})

Insert multiple records
records = [{'name': 'Jane', 'age': 25}, {'name': 'Bob', 'age': 40}]
mongo.insert_record(records)

Bulk insert data from a CSV file
mongo.bulk_insert('data.csv')

Bulk insert data from an Excel file
mongo.bulk_insert('data.xlsx')

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