mongodb-crud-automation 0.0.8

A python package for connecting with database.

# requirements_dev.txt we use for the testing It makes it easier to install and manage dependencies for development and testing, separate from the dependencies required for production.

# difference between requirements_dev.txt and requirements.txt

requirements.txt is used to specify the dependencies required to run the production code of a Python project, while requirements_dev.txt is used to specify the dependencies required for development and testing purposes.

# tox.ini We use if for the testing in the python package testing against different version of the python

## how tox works tox enviornment creation 1. Install depedencies and packages 2. Run commands 3. Its a combination of the (virtualenvwrapper and makefile) 4. It creates a .tox

# 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 In summary, setup.cfg is used by setuptools to configure the packaging and installation of a Python projec

# Testing python application types of testing 1. Automated testing 2. Manual testing

Mode of testing 1. Unit testing 2. Integration tests

Testing frameworks

1. pytest

2. unittest

3. robotframework

4. selenium

5. behave

6. doctest

# check with the code style formatting and syntax(coding standard)

1. pylint

2. flake8(it is best because it containt 3 library pylint pycodestyle mccabe)

3. pycodestyle

# How to use the package :-

### STEPS:-

`bash pip install mongodb-crud-automation `

`bash from mongo_connect import mongo_crud `

`bash client_url = "<client_url_of_mongodb>" database = "<database name>" collection_name = "<collection_name>" `

`bash mongo = mongo_crud.mongodb_operation(client_url,database,collection_name) `

# CRUD Operation on MongoDB :-

## How to run :-

### 1. insert record `bash mongo.insert_record( record:dict, collection_name) `

### 2. insert many record `bash mongo.insert_record([record:dict], collection_name) `

### 3. bulk insert record - in this datafile is in .csv or .xlsx file `bash mongo.bulk_insert ( datafile, collection_name: str = None, unique_field: str = None) `

### 4. find query `bash mongo.find(query: dict = {}, collection_name: str = None) ` ### 5. update query `bash mongo.update(query: dict, new_values: dict, collection_name: str = None) `

### 6. delete query `bash mongo.delete(query: dict, collection_name: str = None) `