I have got the select function of mongodb adapter working, but know I
need to convert a pymongo cursor to row.
The point is the pymongo supports nested documents and that can be a
bit hard to convert for a parameter of the parse method.
Here is the select function a have ajusted, but this one won't work
with yours because I also altered a lot of other functions. But this
is to get the idea. The line that has to be changed is pointed to with
<--
def select(self,query,fields,attributes):
#if not isinstance(query,Query):
# raise SyntaxError, "Not Supported"
definition = self._select(query,fields,attributes)
ctable = self.connection[str(definition['tablename'])]
if ((definition['sort'] == None) & (definition['skip'] ==
None)):
result = ctable.find(definition['query'])
elif((definition['sort'] != None) & (definition['skip'] ==
None)):
result =
ctable.find(definition['query']).sort(definition['sort'])
elif((definition['sort'] == None) & (definition['skip'] !=
None)):
result =
ctable.find(definition['query']).skip(definition['skip'])
elif((definition['sort'] != None) & (definition['skip'] !=
None)):
result =
ctable.find(definition['query']).sort(definition['sort']).skip(definition['skip'])
else:
raise RuntimeError, "No valid query information found"
print str(result)
#rows = [cols['value'] for cols in result] <--- This line
converts the result to be parsed
return self.parse(rows, definition['colnames'], False)
Anyone with advise on the matter or ideas?
