widgetti / widgetti/ipyvuetify
ipyvuetify breaks ipyevents
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- Dominant language
- Python
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- 355
- Forks
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Description
I would like to use ipyevents with ipyvuetify to implement this behavior : Issue 215
But it seems that ipyevents is not compatible with ipyvuetify. I wrote the minimal example;
import ipyvuetify as v
import ipywidgets as ipw
import random
from ipyevents import Event
headers = [
{'text': 'A', 'value': 'A'},
{'text': 'B', 'value': 'B'}
]
items = [
{'A': 0,'B': 9},
{'A': 1,'B': 1},
{'A': 2,'B': 5},
{'A': 3,'B': 19},
{'A': 4,'B': 11},
{'A': 5,'B': 15}
]
class EventDataTable(v.DataTable):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.click_event = Event(source=self, watched_events=['click'])
self.click_event.on_dom_event(self._on_table_click)
def _on_table_click(self, event):
rand = random.randint(0, len(self.items) - 1)
self.v_model = self.items[rand:rand+1]
table = EventDataTable(items=items, headers=headers, show_select=True, item_key='A', v_model = [])
table
# v.Content(children = [table])
here it works like a charm, if you click on the table a random row is selected
but then if I put the table inside an ipyvuetify object it does'nt work anymore ex:
v.Content(children = [table])
For info, I tried to use an ipywidget Box and it works
Is it a bug or I missed something ?
Thanks,
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the minimal EventDataTable example in the issue and compare its behavior when rendered directly, inside v.Content, and inside an ipywidgets Box. Trace why the ipyevents click callback stops working when nested in v.Content; done means selecting a random row still works in the nested ipyvuetify case.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter, python
- Domain
- frontend, web-dev
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100