We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
DB Types in column.valid_target_types are not in sync with the types returned in database types endpoint
## Description
* `valid_target_types` property of column returns "DOUBLE PRECISION"
   - Endpoint: /api/v0/tables/14/columns/
* Types endpoint returns mathesar types where Number has the db type "DOUBLE_PRECISION"
   - http://localhost:8000/api/v0/databases/1/types/
   - Mathesar type: Number

Note that "DOUBLE PRECISION" and "DOUBLE_PRECISION" differ from each other.

## Expected behavior
Both endpoints should return values with same spelling.


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `db/types/base.py`
Content:
```
1 from enum import Enum
2 
3 from sqlalchemy import create_engine
4 
5 from db import constants
6 
7 
8 CHAR = 'char'
9 STRING = 'string'
10 VARCHAR = 'varchar'
11 
12 
13 class PostgresType(Enum):
14     """
15     This only includes built-in Postgres types that SQLAlchemy supports.
16     SQLAlchemy doesn't support XML. See zzzeek's comment on:
17     https://stackoverflow.com/questions/16153512/using-postgresql-xml-data-type-with-sqlalchemy
18     The values are keys returned by get_available_types.
19     """
20     _ARRAY = '_array'
21     BIGINT = 'bigint'
22     BIT_VARYING = 'bit varying'
23     BIT = 'bit'
24     BOOLEAN = 'boolean'
25     BYTEA = 'bytea'
26     CHAR = '"char"'
27     CHARACTER_VARYING = 'character varying'
28     CHARACTER = 'character'
29     CIDR = 'cidr'
30     DATE = 'date'
31     DATERANGE = 'daterange'
32     DECIMAL = 'decimal'
33     DOUBLE_PRECISION = 'double precision'
34     FLOAT = 'float'
35     HSTORE = 'hstore'
36     INET = 'inet'
37     INT4RANGE = 'int4range'
38     INT8RANGE = 'int8range'
39     INTEGER = 'integer'
40     INTERVAL = 'interval'
41     JSON = 'json'
42     JSONB = 'jsonb'
43     MACADDR = 'macaddr'
44     MONEY = 'money'
45     NAME = 'name'
46     NUMERIC = 'numeric'
47     NUMRANGE = 'numrange'
48     OID = 'oid'
49     REAL = 'real'
50     REGCLASS = 'regclass'
51     SMALLINT = 'smallint'
52     TEXT = 'text'
53     TIME = 'time'
54     TIME_WITH_TIME_ZONE = 'time with time zone'
55     TIME_WITHOUT_TIME_ZONE = 'time without time zone'
56     TIMESTAMP = 'timestamp'
57     TIMESTAMP_WITH_TIMESTAMP_ZONE = 'timestamp with time zone'
58     TIMESTAMP_WITHOUT_TIMESTAMP_ZONE = 'timestamp without time zone'
59     TSRANGE = 'tsrange'
60     TSTZRANGE = 'tstzrange'
61     TSVECTOR = 'tsvector'
62     UUID = 'uuid'
63 
64 
65 class MathesarCustomType(Enum):
66     """
67     This is a list of custom Mathesar DB types.
68     Keys returned by get_available_types are of the format 'mathesar_types.VALUE'
69     """
70     EMAIL = 'email'
71     URI = 'uri'
72     MONEY = 'money'
73 
74 
75 SCHEMA = f"{constants.MATHESAR_PREFIX}types"
76 # Since we want to have our identifiers quoted appropriately for use in
77 # PostgreSQL, we want to use the postgres dialect preparer to set this up.
78 preparer = create_engine("postgresql://").dialect.identifier_preparer
79 
80 
81 def get_qualified_name(name):
82     return ".".join([preparer.quote_schema(SCHEMA), name])
83 
84 
85 def get_available_types(engine):
86     return engine.dialect.ischema_names
87 
88 
89 def get_db_type_name(sa_type, engine):
90     USER_DEFINED_STR = 'user_defined'
91     db_type = sa_type.__visit_name__
92     if db_type == USER_DEFINED_STR:
93         db_type = sa_type().compile(engine.dialect)
94     return db_type
95
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/db/types/base.py b/db/types/base.py
--- a/db/types/base.py
+++ b/db/types/base.py
@@ -87,8 +87,8 @@
 
 
 def get_db_type_name(sa_type, engine):
-    USER_DEFINED_STR = 'user_defined'
-    db_type = sa_type.__visit_name__
-    if db_type == USER_DEFINED_STR:
-        db_type = sa_type().compile(engine.dialect)
+    try:
+        db_type = sa_type.compile(dialect=engine.dialect)
+    except TypeError:
+        db_type = sa_type().compile(dialect=engine.dialect)
     return db_type

{"golden_diff": "diff --git a/db/types/base.py b/db/types/base.py\n--- a/db/types/base.py\n+++ b/db/types/base.py\n@@ -87,8 +87,8 @@\n \n \n def get_db_type_name(sa_type, engine):\n-    USER_DEFINED_STR = 'user_defined'\n-    db_type = sa_type.__visit_name__\n-    if db_type == USER_DEFINED_STR:\n-        db_type = sa_type().compile(engine.dialect)\n+    try:\n+        db_type = sa_type.compile(dialect=engine.dialect)\n+    except TypeError:\n+        db_type = sa_type().compile(dialect=engine.dialect)\n     return db_type\n", "issue": "DB Types in column.valid_target_types are not in sync with the types returned in database types endpoint\n## Description\r\n* `valid_target_types` property of column returns \"DOUBLE PRECISION\"\r\n   - Endpoint: /api/v0/tables/14/columns/\r\n* Types endpoint returns mathesar types where Number has the db type \"DOUBLE_PRECISION\"\r\n   - http://localhost:8000/api/v0/databases/1/types/\r\n   - Mathesar type: Number\r\n\r\nNote that \"DOUBLE PRECISION\" and \"DOUBLE_PRECISION\" differ from each other.\r\n\r\n## Expected behavior\r\nBoth endpoints should return values with same spelling.\r\n\n", "before_files": [{"content": "from enum import Enum\n\nfrom sqlalchemy import create_engine\n\nfrom db import constants\n\n\nCHAR = 'char'\nSTRING = 'string'\nVARCHAR = 'varchar'\n\n\nclass PostgresType(Enum):\n    \"\"\"\n    This only includes built-in Postgres types that SQLAlchemy supports.\n    SQLAlchemy doesn't support XML. See zzzeek's comment on:\n    https://stackoverflow.com/questions/16153512/using-postgresql-xml-data-type-with-sqlalchemy\n    The values are keys returned by get_available_types.\n    \"\"\"\n    _ARRAY = '_array'\n    BIGINT = 'bigint'\n    BIT_VARYING = 'bit varying'\n    BIT = 'bit'\n    BOOLEAN = 'boolean'\n    BYTEA = 'bytea'\n    CHAR = '\"char\"'\n    CHARACTER_VARYING = 'character varying'\n    CHARACTER = 'character'\n    CIDR = 'cidr'\n    DATE = 'date'\n    DATERANGE = 'daterange'\n    DECIMAL = 'decimal'\n    DOUBLE_PRECISION = 'double precision'\n    FLOAT = 'float'\n    HSTORE = 'hstore'\n    INET = 'inet'\n    INT4RANGE = 'int4range'\n    INT8RANGE = 'int8range'\n    INTEGER = 'integer'\n    INTERVAL = 'interval'\n    JSON = 'json'\n    JSONB = 'jsonb'\n    MACADDR = 'macaddr'\n    MONEY = 'money'\n    NAME = 'name'\n    NUMERIC = 'numeric'\n    NUMRANGE = 'numrange'\n    OID = 'oid'\n    REAL = 'real'\n    REGCLASS = 'regclass'\n    SMALLINT = 'smallint'\n    TEXT = 'text'\n    TIME = 'time'\n    TIME_WITH_TIME_ZONE = 'time with time zone'\n    TIME_WITHOUT_TIME_ZONE = 'time without time zone'\n    TIMESTAMP = 'timestamp'\n    TIMESTAMP_WITH_TIMESTAMP_ZONE = 'timestamp with time zone'\n    TIMESTAMP_WITHOUT_TIMESTAMP_ZONE = 'timestamp without time zone'\n    TSRANGE = 'tsrange'\n    TSTZRANGE = 'tstzrange'\n    TSVECTOR = 'tsvector'\n    UUID = 'uuid'\n\n\nclass MathesarCustomType(Enum):\n    \"\"\"\n    This is a list of custom Mathesar DB types.\n    Keys returned by get_available_types are of the format 'mathesar_types.VALUE'\n    \"\"\"\n    EMAIL = 'email'\n    URI = 'uri'\n    MONEY = 'money'\n\n\nSCHEMA = f\"{constants.MATHESAR_PREFIX}types\"\n# Since we want to have our identifiers quoted appropriately for use in\n# PostgreSQL, we want to use the postgres dialect preparer to set this up.\npreparer = create_engine(\"postgresql://\").dialect.identifier_preparer\n\n\ndef get_qualified_name(name):\n    return \".\".join([preparer.quote_schema(SCHEMA), name])\n\n\ndef get_available_types(engine):\n    return engine.dialect.ischema_names\n\n\ndef get_db_type_name(sa_type, engine):\n    USER_DEFINED_STR = 'user_defined'\n    db_type = sa_type.__visit_name__\n    if db_type == USER_DEFINED_STR:\n        db_type = sa_type().compile(engine.dialect)\n    return db_type\n", "path": "db/types/base.py"}], "after_files": [{"content": "from enum import Enum\n\nfrom sqlalchemy import create_engine\n\nfrom db import constants\n\n\nCHAR = 'char'\nSTRING = 'string'\nVARCHAR = 'varchar'\n\n\nclass PostgresType(Enum):\n    \"\"\"\n    This only includes built-in Postgres types that SQLAlchemy supports.\n    SQLAlchemy doesn't support XML. See zzzeek's comment on:\n    https://stackoverflow.com/questions/16153512/using-postgresql-xml-data-type-with-sqlalchemy\n    The values are keys returned by get_available_types.\n    \"\"\"\n    _ARRAY = '_array'\n    BIGINT = 'bigint'\n    BIT_VARYING = 'bit varying'\n    BIT = 'bit'\n    BOOLEAN = 'boolean'\n    BYTEA = 'bytea'\n    CHAR = '\"char\"'\n    CHARACTER_VARYING = 'character varying'\n    CHARACTER = 'character'\n    CIDR = 'cidr'\n    DATE = 'date'\n    DATERANGE = 'daterange'\n    DECIMAL = 'decimal'\n    DOUBLE_PRECISION = 'double precision'\n    FLOAT = 'float'\n    HSTORE = 'hstore'\n    INET = 'inet'\n    INT4RANGE = 'int4range'\n    INT8RANGE = 'int8range'\n    INTEGER = 'integer'\n    INTERVAL = 'interval'\n    JSON = 'json'\n    JSONB = 'jsonb'\n    MACADDR = 'macaddr'\n    MONEY = 'money'\n    NAME = 'name'\n    NUMERIC = 'numeric'\n    NUMRANGE = 'numrange'\n    OID = 'oid'\n    REAL = 'real'\n    REGCLASS = 'regclass'\n    SMALLINT = 'smallint'\n    TEXT = 'text'\n    TIME = 'time'\n    TIME_WITH_TIME_ZONE = 'time with time zone'\n    TIME_WITHOUT_TIME_ZONE = 'time without time zone'\n    TIMESTAMP = 'timestamp'\n    TIMESTAMP_WITH_TIMESTAMP_ZONE = 'timestamp with time zone'\n    TIMESTAMP_WITHOUT_TIMESTAMP_ZONE = 'timestamp without time zone'\n    TSRANGE = 'tsrange'\n    TSTZRANGE = 'tstzrange'\n    TSVECTOR = 'tsvector'\n    UUID = 'uuid'\n\n\nclass MathesarCustomType(Enum):\n    \"\"\"\n    This is a list of custom Mathesar DB types.\n    Keys returned by get_available_types are of the format 'mathesar_types.VALUE'\n    \"\"\"\n    EMAIL = 'email'\n    URI = 'uri'\n    MONEY = 'money'\n\n\nSCHEMA = f\"{constants.MATHESAR_PREFIX}types\"\n# Since we want to have our identifiers quoted appropriately for use in\n# PostgreSQL, we want to use the postgres dialect preparer to set this up.\npreparer = create_engine(\"postgresql://\").dialect.identifier_preparer\n\n\ndef get_qualified_name(name):\n    return \".\".join([preparer.quote_schema(SCHEMA), name])\n\n\ndef get_available_types(engine):\n    return engine.dialect.ischema_names\n\n\ndef get_db_type_name(sa_type, engine):\n    try:\n        db_type = sa_type.compile(dialect=engine.dialect)\n    except TypeError:\n        db_type = sa_type().compile(dialect=engine.dialect)\n    return db_type\n", "path": "db/types/base.py"}]}