sparkmicro / Ki-nTree

Fast part creation for KiCad and InvenTree
GNU General Public License v3.0
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Kintree v1.1.0 does not startup #228

Closed HannesMorre closed 3 months ago

HannesMorre commented 6 months ago

I just updated to kintree 1.1.0 and I only get an error on startup

(kintree-env) C:\Users\hmo\kintree>kintree
Unhandled error processing page session : Traceback (most recent call last):
  File "C:\Users\hmo\kintree\kintree-env\lib\site-packages\flet_runtime\app.py", line 242, in on_session_created
    await asyncio.get_running_loop().run_in_executor(
  File "C:\Users\hmo\AppData\Local\Programs\Python\Python39\lib\concurrent\futures\thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
  File "C:\Users\hmo\kintree\kintree-env\lib\site-packages\kintree\gui\gui.py", line 56, in kintree_gui
    inventree_settings_view = InvenTreeSettingsView(page)
  File "C:\Users\hmo\kintree\kintree-env\lib\site-packages\kintree\gui\views\settings.py", line 859, in __init__
    super().__init__(page)
  File "C:\Users\hmo\kintree\kintree-env\lib\site-packages\kintree\gui\views\settings.py", line 323, in __init__
    self.fields[field_name].value = self.settings[field_data[0]]
KeyError: 'IPN_USE_MANUFACTURER_PART_NUMBER'

image

T0jan commented 6 months ago

@HannesMorre I can reproduce it. It's most likely a consequence of a missing setting in one of your config files. Either replace the user/internal_part_number.yaml with this one: https://github.com/sparkmicro/Ki-nTree/blob/main/kintree/config/user/internal_part_number.yaml

Or, if you don't want to overwrite your own settings, open your user/internal_part_number.yaml and add the line:

IPN_USE_MANUFACTURER_PART_NUMBER: false
HannesMorre commented 6 months ago

@eeintech can you fix this in the next release?

HannesMorre commented 6 months ago

@T0jan That works, thanks!

eeintech commented 6 months ago

@eeintech can you fix this in the next release?

Sure this issue could be prevented, reopening issue to not forget.

T0jan commented 6 months ago

@eeintech should be doable with hard coding default states in the settings loading routine but maybe there is an more elegant, not so maintenance heavy way?

eeintech commented 5 months ago

@T0jan The default parameters should be loaded from the .yaml files in the repo so maybe that setting was missing. Any new parameter should also be added to those files to prevent errors like this. I don't see any reason not to hardcode it though.

T0jan commented 5 months ago

@eeintech if it loads the repo config files than this shouldn't be at all and would be better to maintain, as it would be only one point of required changes. however, are you sure this is happening rn? last time I checked the settings code it was only loading the local config files.

eeintech commented 5 months ago

@T0jan It should be done with this section of the code: https://github.com/sparkmicro/Ki-nTree/blob/a5af2f83926b6d424d6b8113bdccaf255a62de55/kintree/config/config_interface.py#L71

But if the length of the dictionaries are different, it won't merge the template data.

T0jan commented 5 months ago

@eeintech Ah I see but yeah, like this it doesn't really help if there was a new setting introduced in the last update. Maybe this check should loop through the loaded parameters instead and merge/add the entries individually?

eeintech commented 5 months ago

@eeintech Ah I see but yeah, like this it doesn't really help if there was a new setting introduced in the last update. Maybe this check should loop through the loaded parameters instead and merge/add the entries individually?

Could be done yeah, probably more robust!

eeintech commented 3 months ago

I think this was fixed with #251 (v1.1.2), closing.