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
- Install depedencies and packages
- Run commands
- Its a combination of the (virtualenvwrapper and makefile)
- 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
- Automated testing
- Manual testing
Mode of testing
- Unit testing
- 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:-
pip install mongodb-crud-automation
from mongo_connect import mongo_crud
client_url = "<client_url_of_mongodb>"
database_name = "<database name>"
collection_name = "<collection_name>"
mongo = mongo_crud.mongodb_operation(client_url)
CRUD Operation on MongoDB :-
How to run :-
1. connected to the mongodb client database
mongo.create_client()
2. create database in mongodb database
mongo.create_database(database_name = "<database_name>")
3. create collection_name in mongodb database
mongo.create_collection(database_name= "<database_name>",
collection_name="<collection_name>")
4. insert single record
mongo.insert_single_record(record:dict,database_name= "<database_name>",
collection_name="<collection_name>")
5. insert multiple records
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
mongo.bulk_insert(datafile = "<file_path>",database_name= "<database_name>" ,
collection_name="<collection_name>",unique_field="<column_name>")
4. find query
mongo.find(query: dict ={},
database_name= "<database_name>" ,collection_name="<collection_name>")
5. update query
mongo.update(query: dict = {} ,
new_values: dict = {},database_name= "<database_name>" ,collection_name="<collection_name>")
9. delete query
mongo.delete(query: dict = {} ,database_name= "<database_name>" , collection_name="<collection_name>")