Thank You, Mike, I thought that I can adapt types with sqlalchemy, not with
db adapter like psycopg, to make it not db adapter dependent solution.
воскресенье, 11 сентября 2022 г. в 04:14:02 UTC+3, Mike Bayer:
> maybe email on the psycopg2 list / github tracker
>
> On Sat, Sep 10, 2022, at 4:15 PM, sector119 wrote:
>
> Hello,
>
> I got exception when I try to insert numpy.int8 type data.
> sqlalchemy.exc.ProgrammingError: (psycopg.ProgrammingError) cannot adapt
> type 'int8' using placeholder '%s' (format: AUTO)
>
> I'm trying to adapt it with code below, but it looks like a bit
> comprehensive.
>
> Maybe you can suggest another solution? And what is a proper place to call
> connection.adapters.register_dumper, is it ok to call it in that listener?
>
> *models/__init__.py*
>
> @listens_for(Pool, "connect")
> def pool_on_connect(connection, _):
> connection.adapters.register_dumper(np.integer, NumPyIntDumper)
>
> *models/adapters.py *
>
> from typing import Any
>
> import numpy as np
> from psycopg import errors as e, postgres
> from psycopg._wrappers import Int2, Int4, Int8, IntNumeric
> from psycopg.adapt import Dumper, PyFormat
>
>
> class _NumPyIntDumper(Dumper):
> def dump(self, obj: Any) -> bytes:
> t = type(obj)
>
> if not issubclass(t, np.integer):
> raise e.DataError(f"integer expected, got
> {type(obj).__name__!r}")
>
> return str(obj).encode()
>
> def quote(self, obj: Any) -> bytes:
> value = self.dump(obj)
> return value if obj >= 0 else b" " + value
>
>
> class Int2Dumper(_NumPyIntDumper):
> oid = postgres.types["int2"].oid
>
>
> class Int4Dumper(_NumPyIntDumper):
> oid = postgres.types["int4"].oid
>
>
> class Int8Dumper(_NumPyIntDumper):
> oid = postgres.types["int8"].oid
>
>
> class IntNumericDumper(_NumPyIntDumper):
> oid = postgres.types["numeric"].oid
>
>
> class NumPyIntDumper(Dumper):
> def dump(self, obj: Any) -> bytes:
> raise TypeError(
> f"{type(self).__name__} is a dispatcher to other dumpers:"
> " dump() is not supposed to be called"
> )
>
> def get_key(self, obj: int, format: PyFormat) -> type:
> return self.upgrade(obj, format).cls
>
> _int2_dumper = Int2Dumper(Int2) # smallint
> _int4_dumper = Int4Dumper(Int4) # integer
> _int8_dumper = Int8Dumper(Int8) # bigint
> _int_numeric_dumper = IntNumericDumper(IntNumeric) # numeric
>
> def upgrade(self, obj: int, format: PyFormat) -> Dumper:
> if isinstance(obj, (np.int8, np.int16, np.uint8)):
> return self._int2_dumper
> elif isinstance(obj, (np.int32, np.uint16)):
> return self._int4_dumper
> elif isinstance(obj, (np.int64, np.uint32)):
> return self._int8_dumper
> elif isinstance(obj, np.uint64):
> return self._int_numeric_dumper
>
> raise e.DataError(f"{type(obj).__name__!r} not supported by
> NumPyIntDumper")
>
>
> --
> SQLAlchemy -
> The Python SQL Toolkit and Object Relational Mapper
>
> http://www.sqlalchemy.org/
>
> To post example code, please provide an MCVE: Minimal, Complete, and
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--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
To post example code, please provide an MCVE: Minimal, Complete, and Verifiable
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