tabbydoc / tabbyld2

A web-based application for semantic table interpretation (annotation).
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Error on all stl imports #1

Open shashi792 opened 2 years ago

shashi792 commented 2 years ago

import stl.parser as pr import stl.parser as pr import stl.utility as utl import stl.cleaner as cln import stl.column_classifier as cc

LedZeppe1in commented 2 years ago

This error solved in dev branch. dev branch is current branch for development of TabbyLD2.

shashi792 commented 2 years ago

I copied the dev branch. It had the graphql_interface.py file missing. I copied this from the main branch. I get the following error.


  File "......PycharmProjects/tabby/tabbyld2/graphql_interface.py", line 5, in <module>
    from gql.transport.requests import RequestsHTTPTransport
  File "......anaconda3/envs/tabby/lib/python3.7/site-packages/gql/transport/requests.py", line 11, in <module>
    from requests_toolbelt.multipart.encoder import MultipartEncoder
ModuleNotFoundError: No module named 'requests_toolbelt
```'

Is there any updated graphql_interface.py file ?
LedZeppe1in commented 2 years ago

graphql_interface.py file is not used. I have updated dev branch. TabbyLD2 is currently under development (we are still far from the final version). I have almost implemented annotation of table cells. Are you also engaged in semantic interpretation (annotation) of tables?

shashi792 commented 2 years ago

Are you also engaged in semantic interpretation (annotation) of tables? Yes. But, it's a part of another use case.

I get the 404 error. I had some trouble installing the client. image

Trying to work with the TabbyLD2 client (tabbyld2_client). Is this the only way to access the front-ends for the endpoint? (The use-case requires domain experts helping in annotations).

LedZeppe1in commented 2 years ago

Yes. But, it's a part of another use case. This is very good. I will be glad if you will use our developments.

Is this the only way to access the front-ends for the endpoint? This is not the only way. Today, the run of TabbyLD2 is carried out only through main.py. I updated dev branch and added information on installing and using TabbyLD2 in README.

PS: TabbyLD2 is far from complete. We partially implemented only annotation of table cells. We plan to implement annotation of columns and relationships between columns.