# MongoDB Automation Suite

This project presents a groundbreaking approach to automating MongoDB database operations, integrating seamlessly with CI/CD workflows. It's designed specifically for file-based database management, offering a robust suite for deploying and retrieving databases with MongoDB Atlas.

## Key Features 🌟
- Automated database operations.
- Simple CI/CD integration.
- Direct deployment to MongoDB Atlas.

## Installation 🛠️

Install the `mymongoo-automate` library using pip:

```python
pip install mymongoo-automate==0.0.4
```

## Usage Instructions 📘
## Setting Up

Import the mongo_crud module from the library:

python

from database_automation import mongo_crud
print("Library Imported Successfully")


## Configuration
Set up your MongoDB Atlas client URL, database, and collection name:

```
client_url = "<your_mongodb_atlas_client_url>"
database = "<your_database_name>"
collection_name = "<your_collection_name>"

```
## Example Operation 📖
Store a record:


```python

mg = mongo_crud.mongo_operation(client_url, database, collection_name)
mg.insert_record({"Name": "Ashutosh", "Designation": "AI Engineer", "Salary": "100k"}, collection_name)
print("Data Stored")

```


Get Involved 🤝

Contributions are welcome! Feel free to submit issues or pull requests. For queries, contact us at [ashutosh.formin@gmail.com ].

# requirements_dev.txt: 
Streamlining Testing and Development
This file simplifies the installation and management of dependencies specifically needed for development and testing. It keeps these dependencies separate from the production environment, ensuring a more organized and efficient workflow.

# Understanding requirements_dev.txt vs. requirements.txt

While `requirements.txt` defines dependencies essential for running the production code of our Python project, `requirements_dev.txt` caters to the dependencies necessary for development and testing. This distinction ensures efficient dependency management across different project stages.

# tox.ini: Versatile Python Testing
`tox.ini` is crucial for testing our Python package across various Python versions.

## How Tox Environments Operate
Tox environments function through:
1. Installing necessary dependencies and packages.
2. Executing defined commands.
3. Integrating features of `virtualenvwrapper` and `makefile`.
4. Generating a `.tox` directory for environment management.

# pyproject.toml
it is being used for configuration the python project it is a alternative of the setup.cfg file. its containts configuration related to the build system
such as the build tool used package name version author license and dependencies

# setup.cfg: Configuring Package Installation
The `setup.cfg` file is utilized by `setuptools` for configuring the packaging and installation processes of our Python project. This file plays a pivotal role in defining how the project is packaged and distributed.


# Testing Python Application: Ensuring Quality and Reliability
Our approach to testing is comprehensive, encompassing various types and modes to guarantee the highest quality.

**Types of Testing:**
1. **Automated Testing**: Streamlining test execution.
2. **Manual Testing**: Personal inspection and evaluation.

**Modes of Testing:**
1. **Unit Testing**: Verifying individual components.
2. **Integration Testing**: Ensuring combined components work harmoniously.

**Preferred Testing Frameworks:**
1. `pytest`: For powerful and simple tests.
2. `unittest`: Standard unit testing framework.
3. `robotframework`: For acceptance testing and automation.
4. `selenium`: Specialized in web application testing.
5. `behave`: For behavior-driven development.
6. `doctest`: Embedding tests in documentation.


# Adhering to Coding Standards: Style Formatting and Syntax

Maintaining a high standard of code quality is crucial. We ensure this through the use of:

1. **pylint**: Analyzing code for potential errors.
2. **flake8**: A comprehensive tool combining `pylint`, `pycodestyle`, and `mccabe` for robust syntax checking.
3. **pycodestyle**: Enforcing Python style conventions.















=======
# requirements_dev.txt: 
Streamlining Testing and Development
This file simplifies the installation and management of dependencies specifically needed for development and testing. It keeps these dependencies separate from the production environment, ensuring a more organized and efficient workflow.

# Understanding requirements_dev.txt vs. requirements.txt

While `requirements.txt` defines dependencies essential for running the production code of our Python project, `requirements_dev.txt` caters to the dependencies necessary for development and testing. This distinction ensures efficient dependency management across different project stages.

# tox.ini: Versatile Python Testing
`tox.ini` is crucial for testing our Python package across various Python versions.

## How Tox Environments Operate
Tox environments function through:
1. Installing necessary dependencies and packages.
2. Executing defined commands.
3. Integrating features of `virtualenvwrapper` and `makefile`.
4. Generating a `.tox` directory for environment management.

# pyproject.toml
it is being used for configuration the python project it is a alternative of the setup.cfg file. its containts configuration related to the build system
such as the build tool used package name version author license and dependencies

# setup.cfg: Configuring Package Installation
The `setup.cfg` file is utilized by `setuptools` for configuring the packaging and installation processes of our Python project. This file plays a pivotal role in defining how the project is packaged and distributed.


# Testing Python Application: Ensuring Quality and Reliability
Our approach to testing is comprehensive, encompassing various types and modes to guarantee the highest quality.

**Types of Testing:**
1. **Automated Testing**: Streamlining test execution.
2. **Manual Testing**: Personal inspection and evaluation.

**Modes of Testing:**
1. **Unit Testing**: Verifying individual components.
2. **Integration Testing**: Ensuring combined components work harmoniously.

**Preferred Testing Frameworks:**
1. `pytest`: For powerful and simple tests.
2. `unittest`: Standard unit testing framework.
3. `robotframework`: For acceptance testing and automation.
4. `selenium`: Specialized in web application testing.
5. `behave`: For behavior-driven development.
6. `doctest`: Embedding tests in documentation.


# Adhering to Coding Standards: Style Formatting and Syntax

Maintaining a high standard of code quality is crucial. We ensure this through the use of:

1. **pylint**: Analyzing code for potential errors.
2. **flake8**: A comprehensive tool combining `pylint`, `pycodestyle`, and `mccabe` for robust syntax checking.
3. **pycodestyle**: Enforcing Python style conventions
