⚡️ v2.1.0 Upgrade webterm to xterm.js.

[bmeares]

v2.1.0

• Replace term.js with xterm.js.
  This has been a long time coming. The webterm has been migrated to xterm.js which has continuous support from term.js which was last updated almost 10 years ago.

• Deprecate the legacy web pseudo-terminal.
  Clicking the "Execute" button on the web console will now execute the command directly in the webterm. Additionally, changing the instance select will now automatically switch the webterm's context to the desired instance.

• Fix an issue when starting existing jobs.
  A bug has been fixed which prevented jobs from restarting specifically by name.

• Add MRSM_VENVS_DIR.
  Like MRSM_PLUGINS_DIR, you can now designate a virtual environments directory separate from the root directory. This is particularly useful for production deployments, and MRSM_VENVS_DIR has been set to /home/meerschaum/venvs in the official Docker images to allow for mounting /meerschaum to persistent volumes.

• Allow syncing NULL values into indices.
  Syncing None within an index will now be coalesced into a magic value when applying updates.

  import meerschaum as mrsm
  
  pipe = mrsm.Pipe(
      'allow', 'null', 'indices',
      instance = 'sql:local',
      columns = ['a', 'b'],
  )
  pipe.sync([{'a': 1, 'b': 1}])
  pipe.sync([{'b': 1}])
  pipe.sync([{'a': 1}])
  pipe.sync([{'c': 1}])
  
  print(pipe.get_data())
  #       a     b     c
  # 0  <NA>  <NA>     1
  # 1  <NA>     1  <NA>
  # 2     1  <NA>  <NA>
  # 3     1     1  <NA>

• Syncing Decimal objects will now enforce numeric dtypes.
  For example, syncing a Decimal onto a integer column will update the dtype to numeric, like when syncing a float after an integer.

  import meerschaum as mrsm
  from decimal import Decimal
  
  pipe = mrsm.Pipe(
      'demo', 'decimal', 'coersion',
      instance = 'sql:local',
      columns = ['id'],
  )
  pipe.sync([{'id': 1, 'foo': 10}])
  pipe.sync([{'id': 1, 'foo': Decimal('20')}])
  print(pipe.dtypes)
  # {'id': 'int64[pyarrow]', 'foo': 'numeric'}
  
  df = pipe.get_data()
  print(f"{df['foo'][0]=}")
  # df['foo'][0]=Decimal('20') 

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