Sorry I just saw your PR. Thank you.
> On 2. Oct 2020, at 09:09, Philipp Zehnder <[email protected]> wrote:
>
> Hi Marco,
>
> very cool. I started working on the front-end, which allows users to manage
> their labels via the GUI in branch STREAMPIPES-234.
>
> When your model is ready, it would be good to make a pull request. Currently
> I only use a Json object for the labels, but it would be good to have the
> same model as in the backend.
>
> My suggestion would be that a label has a uniqueID, a name, a color, and a
> category. And categories have an id and a name.
>
> Is there any other information that we need?
>
> Philipp
>
>> On 1. Oct 2020, at 09:41, Marco Heyden <[email protected]> wrote:
>>
>> Hi Philipp,
>>
>> I started working on the backend of the labeling tool and implemented two
>> classes Label and LabelCategory. I also started implementing the rest-api.
>>
>> Currently, I am also thinking about how to persist the labels and categories
>> in the database: Should a label belong to a certain category (or multiple
>> categories) or should a category have certain labels?
>>
>> What are your thoughts on that?
>>
>> Best
>> Marco
>>
>> Am 13.09.20, 00:01 schrieb "Philipp Zehnder" <[email protected]>:
>>
>> Hi Marco,
>>
>> I am happy to hear that. I created a branch [1] that contains the current
>> “prototypical” implementation.
>> I tried to increase the usability. Users can now use key shortcuts to
>> select the label, like in the image label editor.
>>
>> Everything should work, but is still a bit buggy. If you want you can try
>> it out, I would be happy to get some feedback.
>>
>> Philipp
>>
>>
>> [1] https://github.com/apache/incubator-streampipes/tree/STREAMPIPES-234
>>
>>> On 11. Sep 2020, at 10:17, Marco Heyden <[email protected]> wrote:
>>>
>>> Hi all,
>>>
>>> this is a very cool feature which would help me a lot in my work.
>>> Let me know where I can support you!
>>>
>>> Best
>>> Marco
>>>
>>> Am 11.09.20, 09:16 schrieb "Philipp Zehnder" <[email protected]>:
>>>
>>> Hi all,
>>>
>>> I needed the label editor to label some time-series data.
>>> Therefore I have used the current version and it works, but so far it is
>>> only a prototype and you have to press many buttons to label data.
>>> I started to refactor the component in [1], with the goal to harmonize the
>>> label function with the components of the image labeling.
>>>
>>> Here is the link to the issue [2].
>>>
>>> Philipp
>>>
>>> [1] https://github.com/apache/incubator-streampipes/tree/STREAMPIPES-234
>>> [2]
>>> https://issues.apache.org/jira/projects/STREAMPIPES/issues/STREAMPIPES-234?filter=allopenissues
>>>
>>> On 2020/04/02 06:11:44, Philipp Zehnder <[email protected]> wrote:
>>>> Hi Daniel,>
>>>>
>>>> thanks, your pull request looks very good and I directly merged it.>
>>>> When I saw it correctly the labels are currently set in the UI and not
>>>> persisted to the database, right?>
>>>>
>>>> So I think the next step would be to implement the backend to update the
>>>> labels in the database.>
>>>>
>>>> The endpoint for the data lake is defined in the class DataLakeResourceV3
>>>> [1]. Here we would need a new POST endpoint with the parameters:
>>>> startDate, endDate, and label to update the database values.>
>>>> My suggestion would be not to reload the data directly after a new label
>>>> is added, instead update the UI and the backend to ensure a better user
>>>> experience.>
>>>>
>>>> Regarding the naming for the label column in the database. >
>>>> We could add a new column to each data stream called ’sp_internal_label’
>>>> containing a String value for each datapoint with the label.>
>>>> Alternatively we could add a new table to a database (e.g. couchdb) with
>>>> just the label information and then merge the information before it is
>>>> sent to the browser.>
>>>> This would ease the insertion of new labels, but make requesting the data
>>>> more complex.>
>>>>
>>>> I would prefer to add a label to each data point. This solution makes the
>>>> creation of labels a bit more challenging, but should have a better
>>>> performance on querying the data.>
>>>>
>>>> How do you think about that?>
>>>>
>>>> Kind regards,>
>>>> Philipp>
>>>>
>>>>
>>>> [1]
>>>> https://github.com/apache/incubator-streampipes/blob/9e5cafd11f530d5212f973da7b532b0dd102c22d/streampipes-rest/src/main/java/org/apache/streampipes/rest/impl/datalake/DataLakeResourceV3.java
>>>>
>>>> <https://github.com/apache/incubator-streampipes/blob/9e5cafd11f530d5212f973da7b532b0dd102c22d/streampipes-rest/src/main/java/org/apache/streampipes/rest/impl/datalake/DataLakeResourceV3.java>>
>>>>
>>>>
>>>> On 2020/04/01 21:33:48, Daniel Ebi <[email protected]> wrote: >
>>>>> Hi there,> >
>>>>>>
>>>>> I have extended the time series data labeling tool in such a way that the
>>>>> labeling mode now remains activated after clicking the 'Labeling'-button
>>>>> - until it gets deactivated by clicking the button again or by switching
>>>>> to the plotly-specific 'Pan' or 'Zoom' mode. The activation of the
>>>>> labeling mode is highlighted by color adjustment of the 'Labeling'-button
>>>>> icon.> >
>>>>>>
>>>>>>
>>>>>>
>>>>> Just now I've already created a pull request on Github (pull request
>>>>> #13).> >
>>>>>>
>>>>>>
>>>>>>
>>>>> Daniel> >
>>>>>>
>>>>>>
>>>>>>
>>>>> -----Ursprüngliche Nachricht-----> >
>>>>>>
>>>>> Von: Philipp Zehnder <[email protected]> > >
>>>>>>
>>>>> Gesendet: Dienstag, 31. März 2020 17:54> >
>>>>>>
>>>>> An: [email protected]> >
>>>>>>
>>>>> Betreff: Re: AW: Time Series Data Labeling Tool> >
>>>>>>
>>>>>>
>>>>>>
>>>>> Hi Daniel,> >
>>>>>>
>>>>>>
>>>>>>
>>>>> the time labeling tool looks very cool. I checked it out and it directly
>>>>> worked.> >
>>>>>>
>>>>>>
>>>>>>
>>>>> One question. Currently I have to click on the button (‘label’, on the
>>>>> top right corner) for each label I want to select. > >
>>>>>>
>>>>> Can we change that behavior. I would expect that a user is entering the
>>>>> labeling mode, once the button is clicked and exits it again when the
>>>>> button is clicked again.> >
>>>>>>
>>>>>>
>>>>>>
>>>>> Philipp> >
>>>>>>
>>>>>>
>>>>>>
>>>>> On 2020/03/27 13:31:20, Daniel Ebi <[email protected]> wrote: > >
>>>>>>
>>>>>> Hi there,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> I just wanted to let you know that I created the pull request for the
>>>>>> time series labeling tool today (pull request #12).> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> During the last days, I have been working on the main components for the
>>>>>> mentioned time series labeling tool and I already implemented a working
>>>>>> version.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Cheers,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Daniel> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> -----Ursprüngliche Nachricht-----> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Von: Daniel Ebi > > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Gesendet: Dienstag, 24. März 2020 17:35> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> An: '[email protected]' <[email protected]>> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Betreff: AW: New Contributer | Time Series Data Labeling Tool> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Hi Philipp, hi Johannes,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> thanks for your short guidance and the warm welcome. > > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> @Philipp: It all worked out well.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> @Johannes: I will look into it and check which components I can reused.>
>>>>>> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Cheers,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Daniel> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> ________________> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> On 2020/03/24 16:43:33, Johannes Tex wrote:> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Hi Daniel,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> welcome :)> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> As you mentioned, I have started to develop an image labeling tool. > >
>>>>>> >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> I think some of the components can be resused, for example the
>>>>>> "image-labels" component [1].> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> It is a component for selecting labels received from the backend (at the
>>>>>> moment it is only mocked). You also can use the num-pad change labels,
>>>>>> it's for the power users ;) You can have a view and we can discuss it if
>>>>>> you have comments or questions.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Johannes> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> [1]
>>>>>> https://github.com/apache/incubator-streampipes/tree/b2e92c667d77e7b7e724112463bb25141881ffd6/ui/src/app/core-ui/image/components/image-labels>
>>>>>> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> ________________> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> On 2020/03/24 16:17:16, Philipp Zehnder wrote:> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Hi Daniel,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> a warm welcome to the mailing list!> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> You can start developing on the UI using the cli tool in our installer
>>>>>> [1]. (Currently in the dev branch) I’d suggest you use the lite version
>>>>>> (‘sp set-template lite') and run a local StreamPipes instance on your
>>>>>> computer (‘sp set-template lite').> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> The code for the UI is in [2] in the ui folder. Check out the repository
>>>>>> and navigate to the folder.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Then run ’npm install’ and ’npm start’. (This might take a while)
>>>>>> Afterwards you can navigate to ‘localhost:8082’ in your browser and you
>>>>>> can start developing.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Cheers,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> Philipp> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> [1] https://github.com/apache/incubator-streampipes-installer
>>>>>> <https://github.com/apache/incubator-streampipes-installer>> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> [2] https://github.com/apache/incubator-streampipes
>>>>>> <https://github.com/apache/incubator-streampipes>> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> _______________________> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>> On 2020/03/24 10:54:12, Daniel Ebi <[email protected]> wrote: > > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> Hey there,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> my name is Daniel and I would like to contribute to Apache StreamPipes
>>>>>>> project. Therefore I recently joined this dev mailing list.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> About me> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> I study Information Engineering and Management in the Master's program
>>>>>>> - with focus on Machine Learning and Artificial Intelligence - at
>>>>>>> Karlsruhe Institute of Technologie (KIT). Additionally, I work as a
>>>>>>> student assistant at the FZI in Karlsruhe in order to gain some
>>>>>>> practical experience in research. There I got in contact with
>>>>>>> StreamPipes and became interested in the project. In the course of my
>>>>>>> studies I already gathered much experience in the Machine Learning and
>>>>>>> Data Science domain.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> What are my current ideas for Apache StreamPipes?> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> Specifically, I would like to develop a labeling feature for Apache
>>>>>>> StreamPipes that allows users to label time series data easily and
>>>>>>> intuitively (like the image labeling tool of Johannes [1]). My idea is
>>>>>>> to extend the line chart of the data explorer in such a way that one or
>>>>>>> more labels can be added by simply marking the data points of interest.
>>>>>>> The visualization of the data is thereby used as a basis for the
>>>>>>> labeling, and the labelled data can be afterwards illustrated with
>>>>>>> colored overlays, too. The long-term goal is to ensure that the data
>>>>>>> labelled in this way can be used as a starting point for machine
>>>>>>> learning procedures.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> I will be very happy to hear about your suggestions about my plans.
>>>>>>> Thanks in advance.> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> Best regards,> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> Daniel Ebi> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> ________________________________> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> [1] > > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> https://issues.apache.org/jira/projects/STREAMPIPES/issues/STREAMPIPES>
>>>>>>> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>> -78?filter=allopenissues> > >
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>>>
>>>>>>
>>>>>>
>>>>
>>>>
>>>>
>>>
>>>
>>
>>
>>
>
