Saravanan666/pypi-org huggingface dataset:
Package: database-automation-for-crud-operation
# 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.txtrequirements.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 applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: database-automation-ioklj
# MongoDBConnection
This repo contains the code which helps in connecting &amp; operating DB queries to the mongoDB.# 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.txtrequirements.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 it 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 applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: databaseautomation-pypi
# 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.txtrequirements.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 applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: database-automation-used-python-mongodb
# 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.txtrequirements.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 applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: database-automation-with-mongodb-python
# 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.txtrequirements.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 applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: databasebaseclass
This is some boilerplate code that I commonly use in my database classes.DescriptionThere are a handful of things that I commonly use in my database classes, and I decided to put them in one spot.insert_or_merge replicates theMERGEfunction in SQL. I mostly use SqlAlchemy in my database projects, and there is currently noMERGEfunction. This is really only tested in Sqlite and Sql Server. (https://github.com/sqlalchemy/sqlalchemy/issues/5441)Logic to determine which dates have mot been processed. This makes it easier to run the script on a large set of days, and process any unprocessed days. If the server goes down, or the data flow stops working for some reason, this will back fill days. It makes the code more flexible.NoteThis project has been set up using PyScaffold 4.0.2. For details and usage
information on PyScaffold seehttps://pyscaffold.org/.
Package: database-connect
database-connectA single Package for all the database connectivities  ( E.g : MySQL, MongoDb, Cassandra)Release Note - version 0.1.6.1Support for Mongodb and Cassandra(Datastax Astra) are available.
Features available:Create database/tablesRead tablesUpdate tablesDelete recordsCsv/excel data insertion to the available databases.Upcoming Plan - version 0.1.7Support for MysqlHow to Useinstall latest packagein jupyter notebook -!pipinstalldatabase-connectin command prompt -pipinstalldatabase-connectDatabase Operationsimport database_connect moduleimportdatabase_connectasconnectionLet's Do The OperationsFor MongoDb Operationsimportdatabase_connectasconnection#create the parametersclient_url='paste_your_mongodb_connection_url'#should be a stringdatabase='your_database_name'#should be a stringcollection_name='your_collection_name'#should be a string#let's create the mongo objectmongo=connection.mongo_operation(client_url=client_url,database=database,collection_name=collection_name)For Cassandra Operationsimportdatabase_connectasconnectionzip_path='paste_the_zip_path'#should be a stringclient_id='paste_the_client_id'#should be a stringclient_secret='paste_the_client_secret'#should be a stringkeyspace='paste_the_keyspace name'#should be a string #note: keyspace should be created manually in datastax cassandra. Keyspaces are not allowed to create from backend.table_name='paste_the_table_name'cassandra=connection.cassandra_operations(zip_path,client_id,client_secret,keyspace,table_name)Detailed Documentation:Check HereCreator -Hrisikesh NeogiFor any suggestion, contact me onhrisikesh.neogi@gmail.com.
Package: database-json
How use it?Install:pip install json-databaseimport:fromjson_databaseimportjson_dbCreate database (file), write:db=json_db("name")get somebody from databasedb.get(self,name:str)->listdelete somebody from databasedb.delete(self,name:str)->Nonecreate and redact type in databasedb.redact(self,name:str,new_dict:list=[])->Noneupdate information in file.jsondb.commit(self)->Noneget new self.json from file.jsondb.update(self)->None
Package: databasemigrator
This is a utility to help migrator in databaseHow to run correctly use docker  container.https://hub.docker.com/r/rafaelscone/databasemigratorTo see more about this code go to githubhttps://github.com/rafaelscone/databasemigratorYou must set the enviroments varsMYSQL_HOST: {url_to_host}
MYSQL_DATABASE: {database_name}
MYSQL_USER: {user}
MYSQL_PASSWORD: {password}
MYSQL_PORT: 3306
ADDITIONAL: {optional_database@password§other_database@password}Feel free to send me news, bugs and suggestions to this packageRafael Schneider - rafaelscone
Package: databasemodels
Database ModelsPython class decorator that creates a database representation of a class and vice versa, a lightweight ORM.setup.pyprovided for installation, uses psycopg 3 rather than 2 for the
better context manager support and type hinting.Recommended Import Setupimportdatabasemodelsasdbmfromdatabasemodels.datatypesimport*This allows you to use bare datatypes such asINTEGER, or complex datatypes
such asPrimaryKey.FeaturesAll basic types and pseudo-types implemented are all capital, whereas type modifiers
and constructed types like enums are capital camel case.Currently, implemented types/pseudo-types include:EnumType
INTEGER
SERIAL
REAL
TEXT
TIMESTAMP
TIMESTAMP_WITH_TIMEZONE
DATE
TIME
BOOL
VARCHAR
CHAR
NUMERICCurrently, implemented constraints include:ForeignKey
PrimaryKey
Unique
NotNullModels have a "mutate" context manager which allows you to modify the model safely while reverting the changes if an
error is raised.Planned FeaturesInterval typeAdditional SQL parameter to createTableFull documentation across all the moduleImplementation of all types listedhere.Higher unittest coverageHigher customizability with table creation and other database operations
Package: database-mongodbconnectorpkg
# 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.txtrequirements.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 applicationtypes of testing1. Automated testing
2. Manual testingMode of testing1. Unit testing
2. Integration testsTesting frameworkspytestunittestrobotframeworkseleniumbehavedoctest# check with the code style formatting and syntax(coding standard)pylintflake8(it is best because it containt 3 library pylint pycodestyle mccabe)pycodestyle
Package: databaseops
DatabaseOpsA lightweight and fast database operation module without using queries with the ease of python.Table of ContentsInstallDependenciesUsageContributingLicenseProject statusInstallpipinstalldatabaseopsNote:Above example will always fetch the latest version. To fetch a specific version, usepip install databaseops==VersionVisitdatabseops/historyto see older versions.DependenciespandassqlalchemyPyMySQLNote:You don't need to worry about dependencies as all those will install automatically
at the installing databaseops. This information is just for your knowledge.UsagefromdatabaseopsimportMySQLTablemy_sql_table=MySQLTable(host="localhost",user="root",password="1234",db_name="Test",table_name="Test_table")Explanation and usage of different methods available to user are as follows# Populate Table: Add data frame to database tablemy_sql_table.populate_table(dataframe=pandas.DataFrame,if_exists:str='append')# Update Tablemy_sql_table.update_table(dataframe=pandas.DataFrame,if_exists:str='append')# Set Primary Keymy_sql_table.set_primary_key(column_name="single column name"or["list of column names"],remove_duplicates=True)# Set Unique Keysmy_sql_table.set_unique_keys(column_name="single column name"or["list of column names"],remove_duplicates=True)# Read Tablemy_sql_table.read_table(chunksize:int=None)# Table Filtermy_sql_table.table_filter(where:[listofcondition],select="single column name"or["list of column names"],limit:int=None,chunksize:int=None)# Remove Duplicatesmy_sql_table.remove_duplicates(list_of_columns=["list of column names"])# Sort Tablemy_sql_table.sort_table(column:strordict,order="ascending"or"descending")# Get Data Typemy_sql_table.get_data_type()RoadmapPlan for future releases is to add multi-table join and other query to MySqlOps class.
After that plan is add support to multiple databases likeredis,mongoDBContributingPull requests are welcome.
For major changes, please open an issue first to discuss what you would like to change.LicenseReleased 2020 byAnkush BhiseProject statusThis project is in development mode, not completely developed yet.
It will developed at slower speed.
Package: databases
DatabasesDatabases gives you simple asyncio support for a range of databases.It allows you to make queries using the powerfulSQLAlchemy Coreexpression language, and provides support for PostgreSQL, MySQL, and SQLite.Databases is suitable for integrating against any async Web framework, such asStarlette,Sanic,Responder,Quart,aiohttp,Tornado, orFastAPI.Documentation:https://www.encode.io/databases/Requirements: Python 3.7+Installation$pipinstalldatabasesDatabase drivers supported are:asyncpgaiopgaiomysqlasyncmyaiosqliteYou can install the required database drivers with:$pipinstalldatabases[asyncpg]$pipinstalldatabases[aiopg]$pipinstalldatabases[aiomysql]$pipinstalldatabases[asyncmy]$pipinstalldatabases[aiosqlite]Note that if you are using any synchronous SQLAlchemy functions such asengine.create_all()oralembicmigrations then you still have to install a synchronous DB driver:psycopg2for PostgreSQL andpymysqlfor MySQL.QuickstartFor this example we'll create a very simple SQLite database to run some
queries against.$pipinstalldatabases[aiosqlite]$pipinstallipythonWe can now run a simple example from the console.Note that we want to useipythonhere, because it supports usingawaitexpressions directly from the console.# Create a database instance, and connect to it.fromdatabasesimportDatabasedatabase=Database('sqlite+aiosqlite:///example.db')awaitdatabase.connect()# Create a table.query="""CREATE TABLE HighScores (id INTEGER PRIMARY KEY, name VARCHAR(100), score INTEGER)"""awaitdatabase.execute(query=query)# Insert some data.query="INSERT INTO HighScores(name, score) VALUES (:name, :score)"values=[{"name":"Daisy","score":92},{"name":"Neil","score":87},{"name":"Carol","score":43},]awaitdatabase.execute_many(query=query,values=values)# Run a database query.query="SELECT * FROM HighScores"rows=awaitdatabase.fetch_all(query=query)print('High Scores:',rows)Check out the documentation onmaking database queriesfor examples of how to start using databases together with SQLAlchemy core expressions.— ⭐️ —Databases isBSD licensedcode. Designed & built in Brighton, England.
Package: database-sanitizer
Database sanitation tooldatabase-sanitizeris a tool which retrieves an database dump from
relational database and performs sanitation on the retrieved data
according to rules defined in a configuration file. Currently the
sanitation tool supports bothPostgreSQLandMySQLdatabases.Installationdatabase-sanitizercan be installed fromPyPIwithpiplike this:$pipinstalldatabase-sanitizerIf you are using MySQL, you need to install the package like this
instead, so that additional requirements are included:$pipinstalldatabase-sanitizer[MySQL]UsageOnce the package has been installed,database-sanitizercan be used
like this:$database-sanitizer<DATABASE-URL>Command line argumentDATABASE-URLneeds to be provided so the tool
knows how to retrieve the dump from the database. With PostgreSQL, it
would be something like this:$database-sanitizerpostgres://user:password@host/databaseHowever, unless an configuration file is provided, no sanitation will be
performed on the retrieved database dump, which leads us to the next
section which will be...ConfigurationRules for the sanitation can be given in a configuration file written inYAML. Path to the configuration file is then given to the command line
utility with--configargument (-cfor shorthand) like this:$database-sanitizer-cconfig.ymlpostgres://user:password@host/databaseThe configuration file uses following kind of syntax:config:addons:-some.other.package-yet.another.packageextra_parameters:# These parameters will be passed to the dump tool CLImysqldump:-"--single-transaction"# Included by defaultpg_dump:-"--exclude-table=something"strategy:user:first_name:name.first_namelast_name:name.last_namesecret_key:string.emptyaccess_log:skip_rowsIn the example configuration above, there are first listed two "addon
packages", which are names of Python packages where the sanitizer will
be looking for sanitizer functions. They are completely optional and can
be omitted, in which case only sanitizer functions defined in package
calledsanitizersand built-in sanitizers will be used instead.It's also possible to define extra parameters to pass to the dump tool (mysqldumporpg_dump). By default,mysqldumpwill include the--single-transactionextra parameter. You can disable this by defining the
extra parameters in the config file explicitly, e.g. with an empty array[].Thestrategyportion of the configuration contains the actual
sanitation rules. First you define name of the database table (in the
example that would beuser) followed by column names in that table
which each one mapped to sanitation function name. The name of the
sanitation function consists from two parts separated from each other by
a dot: Python module name and name of the actual function, which will
be prefixed withsanitize_, soname.first_namewould be a function
calledsanitize_first_namein a file calledname.py.Table content can be left out completely from the sanitized dump by
setting table strategy toskip_rows(checkaccess_logtable in the
example config). This will leave out allINSERT INTO(MySQL) orCOPY(PostgreSQL) statements from the sanitized dump file.CREATE TABLEstatements will not be removed.
Package: databaseseautomation
# neurolab-mongo-python![image](https://user-images.githubusercontent.com/57321948/196933065-4b16c235-f3b9-4391-9cfe-4affcec87c35.png)### Step 1 - Install the requirements`bash pip install-rrequirements.txt `### Step 2 - Run main.py file`bash python main.py `
Package: database-seeder
Seeder for MysqlLoad database then make seeds for itUsagedb=Database(host="localhost",user="root",password="",database="seed")# Make seed without deleting the existence datadb.makeSeed(rows_num=100000)# Delete data, then make seedsdb.clearAndMakeSeed(rows_num=100000)TODOLoad relationshipAdd testAdd argparserTestpython-mpytestPackinghttps://packaging.python.org/en/latest/tutorials/packaging-projects/
Package: database-setup-tools
Database toolsEasy to understand and use tools that help you to create databases and interact with them.Installationpipinstalldatabase-setup-toolsFeaturesDatabase creation on app startupThread-safe databasesession managerOpinionated towardsFastAPIandSQLModelbut feasible with any other framework or puresqlalchemyEasily use a local database in your testsPlanned featuresDatabase migrations withAlembicExampleimportrandomimportuvicornfromfastapiimportFastAPI,DependsfromsqlmodelimportSession,SQLModel,Fieldfromdatabase_setup_tools.session_managerimportSessionManagerfromdatabase_setup_tools.setupimportDatabaseSetupDATABASE_URI="sqlite:///test.db"app=FastAPI()session_manager=SessionManager(database_uri=DATABASE_URI)classUser(SQLModel,table=True):""" User model """id:int=Field(index=True,primary_key=True)name:strmodel_metadata=SQLModel.metadata@app.post('/users/',response_model=User)defadd_random_user(session:Session=Depends(session_manager.get_session)):""" Endpoint to add a user with a random name """user=User(name=f'User{random.randint(0,100)}')session.add(user)session.commit()returnuser@app.get('/users/',response_model=list[User])defget_all_users(session:Session=Depends(session_manager.get_session)):""" Endpoint to get all users """returnsession.query(User).all()if__name__=='__main__':database_setup=DatabaseSetup(model_metadata=model_metadata,database_uri=DATABASE_URI)uvicorn.run(app,host='0.0.0.0',port=8080)Example for pytestconftest.pydatabase_setup=DatabaseSetup(model_metadata=model_metadata,database_uri=DATABASE_URI)defpytest_sessionstart(session):database_setup.drop_database()database_setup.create_database()test_users.pysession_manager=SessionManager(database_uri=DATABASE_URI)@pytest.fixturedefsession():withsession_manager.get_session()assession:yieldsessiondeftest_create_user(session:Session):user=User(name='Test User')session.add(user)session.commit()assertsession.query(User).count()==1assertsession.query(User).first().name=='Test User'DevelopmentTestingSpin up databases for local integration tests:docker-compose -f tests/docker-compose.yaml up -dCreate virtual environment & install dependencies:poetry installRun tests:poetry run pytest