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GetFX TO DO

Phase 1

• print(GetFX('USD')) will nicely print the result - override __str__() method in GetFX base class
• try to apply different monkey patching: see pytest docs and apply yield teardown method - not done: check in book to order if/how to apply monkey patching in fixtures that return value using yield statement
• consider if pytest.params could be used (not done)
• split to target classes/packages
• consider to write test for base class:
  • GetFX object created
  • constructor attributes are present
  • _delete() method is present (iscallable) (not done)
  • _get_request() and _store_response() are raising NotImplementedError
  • str() returns a string (without checking specifics)
• consider moving parser to separate class (?) and write unit tests for it (with mocked NBP connection)
• consider how really packages and modules should be created. Do we need 3 packages? How they should be created?
• document methods, classes, packages; publish documentation;
  • https://www.python.org/dev/peps/pep-0257/
  • https://www.python.org/dev/peps/pep-0008/#documentation-strings
• apply github CI
• coverage.py use omit to ignore tests folder. Then check results on coveralls
• coveralls try to keep only one job if possible (?) or we have to use two?
• package
  • before packaging consider make install to copy package to /usr/local/share and link to /usr/local/bin; however this installation requires virtual environment with dependent packages! So not sure if it makes sense, or maybe better create pip package first?
  • set-up version
• documentation RST ;
  • sphinx;
  • where to host? (readthedocs or github specific)
• consider keeping docstring version of code in separate branch (branched from master)
• push all to master + make public

Phase 2

• consider creation of homebrew package
• consider creation of apt package
• import FX-es from page (directly, or from directory?) to SQL lite DB
• store FX-es in SQL lite DB and write tests for that

Phase 3

• write another module that analyses historic FX rates to get optimal investment (buying) strategy. It will use FX-es stored in GetFX database, eventually will fetch new ones (?)