Package: yumm
Python library with several tools to work with geometryUsageImports:importuuidimportnumpyasnpfromitertoolsimportcountfromudbsimportdb_handler,BaseClass,ObserverDBMetafromsqlalchemyimportInteger,Stringfromudbs.db_typesimport(Pandas_DBType,Universal_DBType,List_DBType,DB_List,TrackedList,TrackedDataFrame,Integer_DBType,TrackedInteger,TrackedFloat,DB_Tuple,Tuple_DBType,TrackedTuple,DB_NPNDARRAY,Numpy_DBType,Tracked_NDARRAY)# do not echo sqlalchemy outputdb_handler.echo=False# do not profile executiondb_handler.profile=FalseCreate Databases:create or connect to a database:db=db_handler.create_db(name='database_1',dialect='sqlite',database=r'C:\udbs\db_test.db')create or connect to a second database:db2=db_handler.create_db(name='database_2',dialect='sqlite',database=r'C:\udbs\db_test_2.db')Create a class:The tracked class must have the metaclass=ObserverDBMeta. The tracked attributes are defined in the_mapped_attributesdictionary. The keys of the dictionary are the names of the attributes to be tracked. The values of the dictionary are
the types of the attributes.Valid types are all sqlalchemy types and the types in sqlalchemy.sql.sqltypes and all types in udbs.db_types.
The type Universal_DBType can handle all common data types. Unknown types are pickled.
Additional the types in udbs.db_types return a tracked mutable object when queried which can also be referenced.Valid udbs.db_types:Bool_DBTypeInteger_DBTypeFloat_DBTypeString_DBTypeTuple_DBTypeList_DBTypePandas_DBTypeNumpy_DBTypeUniversal_DBTypeThe attributeidis automatically added to the class as the unique primary key in the database:
(Column(id_type, primary_key=True)).The primary key has to be a UUID.classMyTest(metaclass=ObserverDBMeta):"""
    Define which attributes should be saved in the database as a dictionary.

    The keys are the name of the attribute, the value the type of the value.
    In this Example the attribute 'pid', 'name', 'df' and 'unknown' are saved in the database.
    """_mapped_attributes={'pid':Integer,'name':String,'df':Pandas_DBType,'unknown':Universal_DBType}new_id=count(0)def__init__(self,*args,**kwargs):# the attribute 'id' is automatically added to the class as the unique primary key in the database:# (Column(id_type, primary_key=True)).The primary key has to be a UUID.self.id=kwargs.get('id',uuid.uuid4())self.pid=kwargs.get('pid',next(self.new_id))self.name=kwargs.get('name',f'MyTest{self.pid}')self.df=kwargs.get('df',None)self.unknown=kwargs.get('unknown',[1,2,3])Inheritance:Inheritance is supported.classMyTest2(MyTest):_mapped_attributes={'test_attr':Integer}def__init__(self,*args,**kwargs):MyTest.__init__(self,*args,**kwargs)self.test_attr=kwargs.get('test_attr',None)my_test2=MyTest2(test_attr=7,df=df)print(MyTest.unknown)Create class instances:create instances ofMyTest:fake=Faker()fromfakerimportFakerdefcreate_rows(num=100):output=[{"name":fake.name(),"address":fake.address(),"name":fake.name(),"email":fake.email(),"bs":fake.bs(),"address":fake.address(),"city":fake.city(),"state":fake.state(),"date_time":fake.date_time(),"paragraph":fake.paragraph(),"Conrad":fake.catch_phrase(),"randomdata":random.randint(1000,2000)}forxinrange(num)]returnoutputdf=create_rows(20)my_new_test=MyTest(df=df,name='random_name',unknown=2.17)my_new_test2=MyTest(df=df,name='some_test_name',unknown=[18,28.15,{'some_key':np.random.rand(5,5)}])create a another instance ofMyTest: notice: the database where the object should be stored is given. If None is given
the default database is taken.my_new_test_3=MyTest(df=df,db=db2)Reference instances:Once a object is created, the assigned values can be tracked.my_new_test_4=MyTest(df=my_new_test.df,name=my_new_test_2.name,db=db2)In this case there is no new dataframe saved in the database as it already exists. Instead the reference to the existing
dataframe is stored in the database. So if Changes to my_new_test_4.df are made, these also affect my_new_test.df.Load class instances:The class instances can be loaded by:my_new_tests=db.query_all(MyTest)my_new_tests_2=db2.query_all(MyTest,return_type=list)The default return type is a set with all instances. With the key return_type=list this can be changed to a list.If only one instance with given id should be loaded use:my_new_test=db.query_single_id(MyTest,id)You can also do filtered queries:my_new_test=db.query_filtered(MyTest,'name',['some_test_name',5])RequirementsPython 3.7+.Windows SupportSummary: On Windows, usepyinstead ofpython3for many of the examples in this
documentation.This package fully supports Windows, along with Linux and macOS, but Python is typicallyinstalled differently on Windows.
Windows users typically access Python through thepylauncher rather than apython3link in theirPATH. Within a virtual environment, all platforms operate the same and use apythonlink to access the Python version used in that virtual environment.DependenciesDependencies are defined in:requirements.inrequirements.txtdev-requirements.indev-requirements.txtVirtual EnvironmentsIt is best practice during development to create an isolatedPython virtual environmentusing thevenvstandard library module. This will keep dependant Python packages from interfering
with other Python projects on your system.On *Nix:$python3-mvenvvenv$sourcevenv/bin/activateOn Windowscmd:>py-mvenvvenv>venv\Scripts\activate.batOnce activated, it is good practice to update core packaging tools (pip,setuptools, andwheel) to the latest versions.(venv)$python-mpipinstall--upgradepipsetuptoolswheelPackagingThis project is designed as a Python package, meaning that it can be bundled up and redistributed
as a single compressed file.Packaging is configured by:pyproject.tomlsetup.pyMANIFEST.inTo package the project as both asource distributionand awheel:(venv)$pythonsetup.pysdistbdist_wheelThis will generatedist/fact-1.0.0.tar.gzanddist/fact-1.0.0-py3-none-any.whl.Read more about theadvantages of wheelsto understand why
generating wheel distributions are important.Upload Distributions to PyPISource and wheel redistributable packages can beuploaded to PyPIor installed
directly from the filesystem usingpip.To upload to PyPI:(venv)$python-mpipinstalltwine(venv)$twineuploaddist/*TestingAutomated testing is performed usingtox.
tox will automatically create virtual environments based ontox.inifor unit testing,
PEP8 style guide checking, and documentation generation.# Run all environments.
#   To only run a single environment, specify it like: -e pep8
# Note: tox is installed into the virtual environment automatically by pip-sync command above.(venv)$toxUnit TestingUnit testing is performed withpytest. pytest has become the defacto
Python unit testing framework. Some key advantages over the built inunittestmodule are:Significantly less boilerplate needed for tests.PEP8 compliant names (e.g.pytest.raises()instead ofself.assertRaises()).Vibrant ecosystem of plugins.pytest will automatically discover and run tests by recursively searching for folders and.pyfiles prefixed withtestfor any functions prefixed bytest.Thetestsfolder is created as a Python package (i.e. there is an__init__.pyfile
within it) because this helpspytestuniquely namespace the test files. Without this,
two test files cannot be named the same, even if they are in different sub-directories.Code coverage is provided by thepytest-covplugin.When running a unit test tox environment (e.g.tox,tox-epy37, etc.), a data file
(e.g..coverage.py37) containing the coverage data is generated. This file is not readable on
its own, but when thecoveragetox environment is run (e.g.toxortox-e-coverage),
coverage from all unit test environments is combined into a single data file and an HTML report is
generated in thehtmlcovfolder showing each source file and which lines were executed during
unit testing. Openhtmlcov/index.htmlin a web browser to view the report. Code coverage
reports help identify areas of the project that are currently not tested.Code coverage is configured inpyproject.toml.To pass arguments topytestthroughtox:(venv)$tox-epy37---kinvalid_factorialCode Style CheckingPEP8is the universally accepted style
guide for Python code. PEP8 code compliance is verified usingflake8.
flake8 is configured in the[flake8]section oftox.ini. Extra flake8 plugins
are also included:pep8-naming: Ensure functions, classes, and variables are named with correct casing.Automated Code FormattingCode is automatically formatted usingblack. Imports are
automatically sorted and grouped usingisort.These tools are configured by:pyproject.tomlTo automatically format code, run:(venv)$tox-efmtTo verify code has been formatted, such as in a CI job:(venv)$tox-efmt-checkGenerated DocumentationDocumentation that includes theREADME.rstand the Python project modules is automatically
generated using aSphinxtox environment. Sphinx is a documentation
generation tool that is the defacto tool for Python documentation. Sphinx uses theRSTmarkup language.This project uses thenapoleonplugin for
Sphinx, which renders Google-style docstrings. Google-style docstrings provide a good mix
of easy-to-read docstrings in code as well as nicely-rendered output."""Computes the factorial through a recursive algorithm.

Args:
    n: A positive input value.

Raises:
    InvalidFactorialError: If n is less than 0.

Returns:
    Computed factorial.
"""The Sphinx project is configured indocs/conf.py.Build the docs using thedocstox environment (e.g.toxortox-edocs). Once built,
opendocs/_build/index.htmlin a web browser.Generate a New Sphinx ProjectTo generate the Sphinx project shown in this project:# Note: Sphinx is installed into the virtual environment automatically by pip-sync command
# above.(venv)$mkdirdocs(venv)$cddocs(venv)$sphinx-quickstart--no-makefile--no-batchfile--extensionssphinx.ext.napoleon# When prompted, select all defaults.Modifyconf.pyappropriately:# Add the project's Python package to the path so that autodoc can find it.importosimportsyssys.path.insert(0,os.path.abspath('../src'))...html_theme_options={# Override the default alabaster line wrap, which wraps tightly at 940px.'page_width':'auto',}Modifyindex.rstappropriately:.. include:: ../README.rst

apidoc/modules.rstProject StructureTraditionally, Python projects place the source for their packages in the root of the project
structure, like:fact
├── fact
│   ├── __init__.py
│   ├── cli.py
│   └── lib.py
├── tests
│   ├── __init__.py
│   └── test_fact.py
├── tox.ini
└── setup.pyHowever, this structure isknownto have bad
interactions withpytestandtox, two standard tools maintaining Python projects. The
fundamental issue is that tox creates an isolated virtual environment for testing. By installing
the distribution into the virtual environment,toxensures that the tests pass even after the
distribution has been packaged and installed, thereby catching any errors in packaging and
installation scripts, which are common. Having the Python packages in the project root subverts
this isolation for two reasons:Callingpythonin the project root (for example,python-mpytest tests/)causes Python
to add the current working directory(the project root) tosys.path, which Python uses to find modules. Because the source
packagefactis in the project root, it shadows thefactpackage installed in the tox
environment.Callingpytestdirectly anywhere that it can find the tests will also add the project root
tosys.pathif thetestsfolder is a a Python package (that is, it contains a__init__.pyfile).pytest adds all folders containing packagestosys.pathbecause it imports the tests like regular Python modules.In order to properly test the project, the source packages must not be on the Python path. To
prevent this, there are three possible solutions:Remove the__init__.pyfile fromtestsand runpytestdirectly as a tox command.Remove the__init__.pyfile from tests and change the working directory ofpython-mpytesttotests.Move the source packages to a dedicatedsrcfolder.The dedicatedsrcdirectory is therecommended solutionbypytestwhen using tox and the solution this blueprint promotes because it is the least
brittle even though it deviates from the traditional Python project structure. It results is a
directory structure like:fact
├── src
│   └── fact
│       ├── __init__.py
│       ├── cli.py
│       └── lib.py
├── tests
│   ├── __init__.py
│   └── test_fact.py
├── tox.ini
└── setup.pyType HintingType hintingallows developers to include
optional static typing information to Python source code. This allows static analyzers such
asPyCharm,mypy, orpytypeto check that functions are used with the correct
types before runtime.ForPyCharm in particular,
the IDE is able to provide much richer auto-completion, refactoring, and type checking while
the user types, resulting in increased productivity and correctness.This project uses the type hinting syntax introduced in Python 3:deffactorial(n:int)->int:Type checking is performed by mypy viatox-emypy. mypy is configured insetup.cfg.LicensingLicensing for the project is defined in:LICENSE.txtsetup.pyThis project uses a common permissive license, the MIT license.You may also want to list the licenses of all of the packages that your Python project depends on.
To automatically list the licenses for all dependencies inrequirements.txt(and their
transitive dependencies) usingpip-licenses:(venv)$tox-elicenses...NameVersionLicensecolorama0.4.3BSDLicenseexitstatus1.3.0MITLicensePyCharm ConfigurationTo configure PyCharm 2018.3 and newer to align to the code style used in this project:Settings | Search “Hard wrap at”Editor | Code Style | General | Hard wrap at: 99Settings | Search “Optimize Imports”Editor | Code Style | Python | Imports☑ Sort import statements☑ Sort imported names in “from” imports☐ Sort plain and “from” imports separately within a group☐ Sort case-insensitivelyStructure of “from” imports◎ Leave as is◉ Join imports with the same source◎ Always split importsSettings | Search “Docstrings”Tools | Python Integrated Tools | Docstrings | Docstring Format: GoogleSettings | Search “Force parentheses”Editor | Code Style | Python | Wrapping and Braces | “From” Import Statements☑ Force parentheses if multilineIntegrate Code FormattersTo integrate automatic code formatters into PyCharm, reference the following instructions:black integrationThe File Watchers method (step 3) is recommended. This will runblackon every save.isort integrationThe File Watchers method (option 1) is recommended. This will runisorton every save.