Quickstart starts a Datahub version without matching PyPi packages for dbt

[james-larsen]

Describe the bug
When running the datahub docker quickstart and attempting to ingest dbt metadata objects, it cannot create a virtual env since there is no corresponding PyPi packages. Below is how this problem presents itself when trying to ingest metadata from dbt.

To Reproduce
Steps to reproduce the behavior:

1. Follow Datahub Quickstart
2. Login using demo "datahub" account
3. To generate the below logs: Try to run metadata ingestion for dbt

~~~~ Execution Summary - RUN_INGEST ~~~~
Execution finished with errors.
{'exec_id': '20240006-70db-45c4-958f-daae42ca1dcd',
 'infos': ['2025-01-31 15:40:26.524331 INFO: Starting execution for task with name=RUN_INGEST',
           "2025-01-31 15:40:30.775089 INFO: Failed to execute 'datahub ingest', exit code 1",
           '2025-01-31 15:40:30.776539 INFO: Caught exception EXECUTING task_id=20240006-70db-45c4-958f-daae42ca1dcd, name=RUN_INGEST, '
           'stacktrace=Traceback (most recent call last):\n'
           '  File "/datahub-ingestion/.venv/lib/python3.10/site-packages/acryl/executor/execution/default_executor.py", line 139, in execute_task\n'
           '    task_event_loop.run_until_complete(task_future)\n'
           '  File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete\n'
           '    return future.result()\n'
           '  File "/datahub-ingestion/.venv/lib/python3.10/site-packages/acryl/executor/execution/sub_process_ingestion_task.py", line 402, in '
           'execute\n'
           '    raise TaskError("Failed to execute \'datahub ingest\'")\n'
           "acryl.executor.execution.task.TaskError: Failed to execute 'datahub ingest'\n"],
 'errors': []}

~~~~ Ingestion Logs ~~~~
Obtaining venv creation lock...
Acquired venv creation lock
venv doesn't exist.. minting..
Using CPython 3.10.12 interpreter at: /usr/bin/python
Creating virtual environment at: /tmp/datahub/ingest/venv-dbt-9c8a88a4b3d58d78
Resolved 3 packages in 237ms
Prepared 3 packages in 2ms
Installed 3 packages in 2.66s
 + pip==25.0
 + setuptools==75.8.0
 + wheel==0.45.1
+ uv pip install 'acryl-datahub[datahub-rest,datahub-kafka,dbt]==1.0.0rc1'
  × No solution found when resolving dependencies:
  ╰─▶ Because there is no version of acryl-datahub[dbt]==1.0.0rc1 and
      you require acryl-datahub[dbt]==1.0.0rc1, we can conclude that your
      requirements are unsatisfiable.

Expected behavior
Ingestion in the quickstart version works. Quickstart uses a fully supported version. Alternatively update the documentation to cover this issue.

Desktop (please complete the following information):

• OS: Windows 10 using WSL2 and Rancher

Additional context
This seems very similar to this bug report for Postgres, which was resolved back in September 2024.

[james-larsen]

Tried again this morning, and not getting the original error anymore. However, I am now getting the below error, which seems to still be about quickstart not installing the proper dependencies for dbt:

ModuleNotFoundError: No module named 'more_itertools'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/datahub-ingestion/.venv/lib/python3.10/site-packages/datahub/ingestion/run/pipeline.py", line 138, in _add_init_error_context
    yield
  File "/datahub-ingestion/.venv/lib/python3.10/site-packages/datahub/ingestion/run/pipeline.py", line 289, in __init__
    source_class = source_registry.get(self.source_type)
  File "/datahub-ingestion/.venv/lib/python3.10/site-packages/datahub/ingestion/api/registry.py", line 178, in get
    raise ConfigurationError(
datahub.configuration.common.ConfigurationError: dbt is disabled due to a missing dependency: more_itertools; try running `pip install 'acryl-datahub[dbt]'`

[cloonix]

I have the same issue with a SAP HANA connection.

+ uv pip install 'acryl-datahub[datahub-rest,datahub-kafka,hana]==1.0.0rc1'
  × No solution found when resolving dependencies:
  ╰─▶ Because there is no version of acryl-datahub[hana]==1.0.0rc1 and
      you require acryl-datahub[hana]==1.0.0rc1, we can conclude that your
      requirements are unsatisfiable.