Refreshing imported modules in ArcGIS Python Toolbox?

Question

When using a python toolbox (.pyt) in ArcMap, I'll typically follow a pattern where the .pyt file itself is simply a wrapper to collect input arguments and define the tools themselves. Supporting code is kept in separate unit-testable modules.

Example:

import supporting_module

class MyTool(object):

    ...

    def execute(self, parameters, messages):
        """The source code of the tool."""
        some_input = parameters[0].valueAsText
        some_output = parameters[1].valueAsText

        supporting_module.do_something(some_input, some_output)
        arcpy.SetParameter(2, some_output)

This works out really well but I've run into one frustrating issue during development. Right-click -> Refresh on the .pyt in ArcMap only refreshes the .pyt file's code. It does not refresh the imported modules, so I have to close and re-open ArcMap whenever I change something there. Fortunately, since I'm testing the code independently, I don't have to do this a ton, but it's still a major hassle. Is there any way around this? Somewhat related - is there any way to fully refresh the Python console (i have a custom site-package that I must also close/reopen ArcMap to pull in changes from as well)?

I'm using ArcMap 10.2.1.

Answer 1

I found this possibility, https://stackoverflow.com/questions/1517038/python-refresh-reload

The one caveat is that if you have any variables assigned to the module, they will need to be assigned again.

But as you have it written above, you could do this:

import supporting_module
def execute()
  reload(supporting_module)
  ...

This way every time you run the tool you'll be sure to have the updated module. Once development is done, this can be taken out.

Answer 2

Here is a different and more robust way than I suggested before.

I haven't used this module myself, but I think it would solve your problem:

Python Module Reloader

This library implements a dependency-based module reloader for Python. Unlike the builtin reload() function, this reloader will reload the requested module and all other modules that are dependent on that module.

Given the previous example, this should load all the dependancies with one call:

import reloader
reloader.enable()

import supporting_module

def execute()
  reloader.reload(supporting_module)
  ...

This is the first time I've noticed this module, so if you implement it in your tools, comment back on how well it works for you.

Answer 3

Here's an example of refreshing a tool imported from a different folder in ArcGIS Pro using Python 3.7

# Import the module to support refreshing
import tools.MyNewTool as MyNewToolModule
# Import the tool
from tools.MyNewTool import MyNewTool
class Toolbox(object):
    def init(self):
        """
        Define the toolbox (the name of the toolbox is the name of the .pyt file).
        """
        self.label = "Toolbox"
        self.alias = "toolbox"
    # Reload the MyNewToolModule to ensure all properties are updated
    importlib.reload(MyNewToolModule)

    # List of tool classes associated with this toolbox
    self.tools = [MyNewTool]

# Rest of the code ...

Answer 4

Here's how I accomplished it, but it should be noted that while this may make development easy, it creates a slew of complications after development:

1. You'll need to remove importlib.reload() in order to successfully stage the tool when publishing to ArcGIS Server
2. Even after successfully publishing to ArcGIS Server, the tool will fail with ERROR 000816: The tool is not valid because the imported module is unrecognized by the server: https://support.esri.com/en-us/knowledge-base/error-error-000816-the-tool-is-not-valid-000023081

Frankly I'm not sure the best way to build a large toolbox and isolate functionality into other modules if the goal is to publish to ArcGIS Server, so I've now resorted to leaving all functionality within the .pyt (welcome any solutions). I'm using ArcGIS Pro 3.1.3 and ArcGIS Server 11.0

import importlib
import SupportingModule
importlib.reload(SupportingModule)
class Toolbox(object):
    def init(self):
        """Define the toolbox (the name of the toolbox is the name of the
        .pyt file)."""
        self.label = "Toolbox"
        self.alias = "Toolbox"
    # List of tool classes associated with this toolbox
    self.tools = [Tool]


class Tool(object):
    def init(self):
        self.label = "Tool"
        self.description = "Description"
        self.canRunInBackground = False
def getParameterInfo(self):
    return

def isLicensed(self):
    return True

def updateParameters(self, parameters):
    return

def updateMessages(self, parameters):
    return

def execute(self, parameters, messages):
    SupportingModule.some_function(parameters)
    return

def postExecute(self, parameters):
    return