Provide clean process and test code as examples

[huard]

What I want to do here is propose a few good practices that experience has shown work well. Now I personally don't have that much experience, so I'm not in such a good position to do this...

Here are things that I think matter when we write processes:

• make processes easy to use to define other similar processes (inheritance)
• metadata is being used to construct the documentation, as well as the user interface. It needs to be complete, and be uniform so its useful to UI developers.
• make sure that all processes log roughly the same information to facilitate debugging.
• use adequate mime-types to facilitate UI interfacing

Then what do we test exactly? I think WPS processes should remain simple. The complexity should be in stand-alone functions that can be tested independently from the WPS context.

Comments, suggestions ?

[huard]

So for example, to make processes modular, how should we define inputs in the init ?

• Define them as named class objects (pollutes class namespace, unless we use underscores)
• Define a method that returns the inputs, and can be called by
• Define them outside the Process class and just refer to them

[cehbrecht]

@huard not sure if it fits to what you want, but to separate the process code from the process definition we can use the OWSContext: geopython/pywps#322

But we don't have support for it yet.

[cehbrecht]

... following up. We don't have good examples but the aim is to separate the processing functionality from the process input/output handling. In Hummingbird we have a processing module which is imported by the process definition:

https://github.com/bird-house/hummingbird/blob/f2ff85cdfaf53d86e91b3b62cc4fd8897832f63e/hummingbird/processes/wps_cmor_checker.py#L4

Or the process is just a wrapper around an existing library like for the ioos compliance checker:
https://github.com/bird-house/hummingbird/blob/f2ff85cdfaf53d86e91b3b62cc4fd8897832f63e/hummingbird/processes/wps_compliance_checker.py#L4

I also had the idea of using Python decorators to enable a normal python function as wps process:

  @wps
  def say_hello(name='Ada'):
          """
          :param name: String. Your name. Default: Ada
          :return: String. A friendly message.
          """
         return "Hello {}".format(name)

The decorator can use the information given by the function definition (name, input, output, abstract, type, ....) to generate a WPS process ... or an OWSContext document.

See also: http://wiki.rsg.pml.ac.uk/pywps/PyWPS_4.0_Ideas.html#Decorators

But that is for the future :)

[tomLandry]

Future is bright Tom

…

________________________________ De : MacPingu <notifications@github.com> Envoyé : 12 avril 2018 11:47:13 À : bird-house/cookiecutter-birdhouse Cc : Subscribed Objet : Re: [bird-house/cookiecutter-birdhouse] Provide clean process and test code as examples (#3) ... following up. We don't have good examples but the aim is to separate the processing functionality from the process input/output handling. In Hummingbird we have a processing module which is imported by the process definition: https://github.com/bird-house/hummingbird/blob/f2ff85cdfaf53d86e91b3b62cc4fd8897832f63e/hummingbird/processes/wps_cmor_checker.py#L4 Or the process is just a wrapper around an existing library like for the ioos compliance checker: https://github.com/bird-house/hummingbird/blob/f2ff85cdfaf53d86e91b3b62cc4fd8897832f63e/hummingbird/processes/wps_compliance_checker.py#L4 I also had the idea of using Python decorators to enable a normal python function as wps process: @WPS def say_hello(name='Ada'): """ :param name: String. Your name. Default: Ada :return: String. A friendly message. """ return "Hello {}".format(name) The decorator can use the information given by the function definition (name, input, output, abstract, type, ....) to generate a WPS process ... or an OWSContext document. See also: http://wiki.rsg.pml.ac.uk/pywps/PyWPS_4.0_Ideas.html#Decorators But that is for the future :) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub<#3 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/AMw9eTkwnoEOhBrhJJsEFfr1DbDN5vfVks5tn3cBgaJpZM4SMeAq>.

[huard]

Fully agree with keeping the WPS class as thin as possible, and put the logic behind a processing module. My question is rather with the WPS interface itself. For example, the new EO processes all share a basic set of inputs and outputs. When I started fixing grammar and syntax, I realized I would have to make the same corrections to four different processes. I think there is a better way.

One option would be to have inputs.py and outputs.py modules inside the process/ directory, where we define all the LiteralInput and ComplexInput that are used more than once, and just reference them in the class init.

We could also bind functions to these classes to convert the input from the string input into whatever is needed. For example, imagine we have an inputs.py file with:

bbox = \
    LiteralInput('BBox', 'Bounding Box',
                 data_type='string',
                 abstract="Enter a bbox: min_lon, max_lon, min_lat, max_lat."
                          " min_lon=Western longitude,"
                          " max_lon=Eastern longitude,"
                          " min_lat=Southern or northern latitude,"
                          " max_lat=Northern or southern latitude."
                          " For example: -80,50,20,70",
                 min_occurs=1,
                 max_occurs=1,
                 default='-180,180,-90,90',
                 )

def convert_bbox(self, request):
    """Convert bbox string into reordered float."""
    s = request.inputs[self.identifier][0].data
    b = map(float, s.split(','))
    return b[0], b[2], b[1], b[3]

bbox.convert = types.MethodType(convert_bbox, bbox)

We can use this bbox instance in mutiple processes. Do you think we have to deep copy instances first ? Could there be clashes if the same instance is used in multiple processes ? Another option is to store the keyword dictionary in inputs.py and instance the class in each process.

[cehbrecht]

I think I understand what you want. Python has probably an answer for us. I try to figure it out.