More general way of generating PyODBC queries as a dict?

2013-05-21 Thread stackoverflowuser95 
Here are my averagely general class methods for creating a dictionary from the 
result of database queries:

def make_schema_dict(self):
schema = [i[2] for i in self.cursor.tables()
  if i[2].startswith('tbl_') or i[2].startswith('vw_')]

self.schema = {table: {'scheme': [row.column_name for row
  in self.cursor.columns(table)]}
   for table in schema}

def last_table_query_as_dict(self, table):
return {'data': [{col: row.__getattribute__(col) for col in 
self.schema[table]['scheme']
  if col != 'RowNum'} for row in self.cursor.fetchall()]}
Unfortunately as you can see, there are many complications.

For example, when multiple tables are queried; some hackish lambdas are 
required to generate the resulting dictionary.

Can you think of some more general methods?

(and yes I know this is against the PEP; and that this is also on SO)
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Re: More general way of generating PyODBC queries as a dict?

2013-05-22 Thread stackoverflowuser95 
On Wednesday, May 22, 2013 9:33:18 AM UTC+10, Dennis Lee Bieber wrote:
> On Tue, 21 May 2013 10:27:07 -0700 (PDT), [email protected]
> 
> declaimed the following in gmane.comp.python.general:
> 
> 
> 
> > 
> 
> > For example, when multiple tables are queried; some hackish lambdas are 
> > required to generate the resulting dictionary.
> 
> > 
> 
> > Can you think of some more general methods?
> 
> >
> 
>   What about using the information from 
> 
> 
> 
>   cursor.description
> 
> 
> 
> You did state PyODBC, did you not?
> 
> 
> 
> """
> 
> description
> 
> 
> 
> This read-only attribute is a list of 7-item tuples, each containing
> 
> (name, type_code, display_size, internal_size, precision, scale,
> 
> null_ok). pyodbc only provides values for name, type_code,
> 
> internal_size, and null_ok. The other values are set to None.  
> 
> """
> 
> -- 
> 
>   Wulfraed Dennis Lee Bieber AF6VN
> 
> [email protected]://wlfraed.home.netcom.com/

YAY: `[{c[0]: v for (c, v) in zip(row.cursor_description, row)} for row in 
self.cursor.fetchall()]`
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