Rough implementation of DBAPI & sqlalchemy dialect

[charlesbluca]

Definitely needs some work, but at the moment this enables us to query tables in a pre-populated dask_sql.Context through sqlalchemy with something like:

import dask.config

from dask_sql import Context
from dask.datasets import timeseries

from sqlalchemy import text

dask.config.set({"dataframe.convert-string": False})

c = Context()

c.create_table("df", timeseries())

with c.sqlalchemy_connection() as conn:
   result = conn.execute(text("select * from df where name = 'Alice'")).fetchall()

cc @randerzander @jdye64

[codecov-commenter]

Codecov Report

Attention: 160 lines in your changes are missing coverage. Please review.

Comparison is base (c274609) 83.12% compared to head (fb6e77d) 82.45%.

Files	Patch %	Lines
dask_sql/integrations/dbapi.py	0.00%	138 Missing ⚠️
dask_sql/integrations/sqlalchemy.py	0.00%	17 Missing ⚠️
dask_sql/context.py	16.66%	5 Missing ⚠️

❗ Your organization needs to install the Codecov GitHub app to enable full functionality.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1303      +/-   ##
==========================================
- Coverage   83.12%   82.45%   -0.68%     
==========================================
  Files          77       79       +2     
  Lines        4261     4422     +161     
  Branches      795      814      +19     
==========================================
+ Hits         3542     3646     +104     
- Misses        550      607      +57     
  Partials      169      169              

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.