CRUD operations for MongoDB
Project description
# 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
pytest
unittest
robotframework
selenium
behave
doctest
# check with the code style formatting and syntax(coding standard)
pylint
flake8(it is best because it containt 3 library pylint pycodestyle mccabe)
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_name = "<database name>" collection_name = "<collection_name>" `
`bash mongo = mongo_crud.mongodb_operation(client_url) `
# CRUD Operation on MongoDB :-
## How to run :-
### 1. connected to the mongodb client database
`bash mongo.create_client() `
### 2. create database in mongodb database
`bash mongo.create_database(database_name = "<database_name>") `
### 3. create collection_name in mongodb database
`bash mongo.create_collection(database_name= "<database_name>", collection_name="<collection_name>") `
### 4. insert single record
`bash mongo.insert_single_record(record:dict,database_name= "<database_name>", collection_name="<collection_name>") `
### 5. insert multiple records
`bash mongo.insert_multiple_records([record:dict],database_name= "<database_name>" , collection_name="<collection_name>") `
### 6. bulk insert record - in this datafile is in .csv or .xlsx file
`bash mongo.bulk_insert(datafile = "<file_path>",database_name= "<database_name>" , collection_name="<collection_name>",unique_field="<column_name>") `
### 4. find query `bash mongo.find(query: dict ={}, database_name= "<database_name>" ,collection_name="<collection_name>") `
### 5. update query `bash mongo.update(query: dict = {} , new_values: dict = {},database_name= "<database_name>" ,collection_name="<collection_name>") `
### 9. delete query `bash mongo.delete(query: dict = {} ,database_name= "<database_name>" , collection_name="<collection_name>") `
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