On Wed, Jun 6, 2018 at 9:04 AM, Tony Locke <tlo...@tlocke.org.uk> wrote:
> Hi, I'm trying to get the latest pg8000 driver to pass the SQLAlchemy
> dialect tests. I'm stuck on the following test in test_types.py:
>
>     def test_crit_against_string_coerce_type(self):
>         name = self.tables.data_table.c.name
>         col = self.tables.data_table.c['data']
>
>         self._test_index_criteria(
>             and_(name == 'r6',
>                  cast(col["b"], String) == type_coerce("some value", JSON)),
>             "r6",
>             test_literal=False
>         )
>
> This executes the following SQL:
>
> SELECT data_table.name
> FROM data_table
> WHERE data_table.name = %s AND CAST((data_table.data -> %s) AS VARCHAR) = %s
> ('r6', 'b', 'some value')
>
> the problem is that the:
>
> CAST((data_table.data -> %s) AS VARCHAR)
>
> gives '"some value"', which of course doesn't equal 'some value', and so the
> test fails. I'm not sure what I need to fix in the driver to make it work,
> so any help is greatly appreciated.

type_coerce("some value", JSON) means the value will be run through
the JSON datatype's bind processor first thus converting it to '"some
value"'.

using pg8000 1.11.0 the test seems to pass:

$ py.test test/dialect/test_suite.py  -k
test_crit_against_string_coerce_type -s --log-debug=sqlalchemy.engine
--dburi postgresql+pg8000://scott:tiger@localhost/test

here's the relevant output you can see '"some value"':

INFO:sqlalchemy.engine.base.Engine:
CREATE TABLE data_table (
    id SERIAL NOT NULL,
    name VARCHAR(30) NOT NULL,
    data JSON,
    nulldata JSON,
    PRIMARY KEY (id)
)


INFO:sqlalchemy.engine.base.Engine:()
INFO:sqlalchemy.engine.base.Engine:COMMIT
INFO:sqlalchemy.engine.base.Engine:INSERT INTO data_table (name, data)
VALUES (%s, %s)
INFO:sqlalchemy.engine.base.Engine:(('r1', '{"key1": "value1", "key2":
"value2"}'), ('r2', '{"Key \'One\'": "value1", "key two": "value2",
"key three": "value \' three \'"}'), ('r3', '{"key1": [1, 2, 3],
"key2": ["one", "two", "three"], "key3": [{"four": "five"}, {"six":
"seven"}]}'), ('r4', '["one", "two", "three"]'), ('r5', '{"nested":
{"elem1": [{"a": "b", "c": "d"}, {"e": "f", "g": "h"}], "elem2":
{"elem3": {"elem4": "elem5"}}}}'), ('r6', '{"a": 5, "b": "some value",
"c": {"foo": "bar"}}'))
INFO:sqlalchemy.engine.base.Engine:COMMIT
INFO:sqlalchemy.engine.base.Engine:SELECT data_table.name
FROM data_table
WHERE data_table.name = %s AND CAST((data_table.data -> %s) AS VARCHAR) = %s
INFO:sqlalchemy.engine.base.Engine:('r6', 'b', '"some value"')
DEBUG:sqlalchemy.engine.base.Engine:Col (b'name',)
DEBUG:sqlalchemy.engine.base.Engine:Row ('r6',)
PASSED



>
> Thanks,
>
> Tony.
>
> --
> SQLAlchemy -
> The Python SQL Toolkit and Object Relational Mapper
>
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-- 
SQLAlchemy - 
The Python SQL Toolkit and Object Relational Mapper

http://www.sqlalchemy.org/

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