TypeError is the standard Python error raised in this case:
$ python -c "(lambda a: None)(b=10)"
TypeError: <lambda>() got an unexpected keyword argument 'b'
We only used to raise InterfaceError when connect was used without
any parameter at all, so it's hard to think a program depending on
that design. Furthermore the function has always raised (and still
does) OperationalError too, if the bad argument is detected by the
libpq, and that cannot be changed because we can't tell the
difference from a normal connection error.
We don't need to look for stuff implicitly into pg_catalog as all
the builtin ranges are already registered. So just search into
'public' if the schema is not specified.
I was avoiding Numeric to avoid conflicting with the 'numeric'
Postgres type, which is an alias for 'decimal'. But now that there
is a single numeric range I can use the preferred name
Makes things more natural as _make has the same signature of the tuple (see
_ctor in CompositeCaster) and is probably more efficient with less
intermediate sequences to build.
Pass a dumps function instead. Allow customizing by either arg passing or
subclassing.
The basic Json class now raises ImportError on getquoted() if json is not
available, thus allowing using a customized Json subclass even when the json
module is not available.
Methods execute() and callproc() in DictCursor and RealDictCursor should
call DictCursorBase methods, not _cursor's ones.
Reported by Alexey Luchko on the ML.
Prior to this change, using a extras.connection_factory would not allow
any other cursor to be used on that connection. It was set in stone.
This change allows all cursor options to pass through and override the
connection factory behaviors. This allows a connection_factory to be
dropped into existing code with no disruption.
This change also standardizes the extras.connection_factories to have
the same behavior and all pass through *args and **kwargs.
The correction is similar to the other one for the other subclasses.
Also added tests for rowcount and rownumber during different fetch styles.
Just in case.
Regression introduced to fix ticket #80. Don't use fetchmany to get the
chunks of values. I did it that way because I was ending up into infinite
recursion calling __iter__ from __iter__: the solution has been the
"while 1: yield next()" idiom.
Avoid creating new a new FixedOffsetTimezone instance if one with the
same offset and name has been created before. This will save memory
when returning many rows containing "timestamp with timezone" columns,
and also improves comparability.
