Remove as_data for now while redesigning

data_test.py

@@ -1,18 +0,0 @@
-from rollbot import as_data
-
-
-@as_data
-class Test:
-    foo: int
-    bar: str
-    baz: list[float]
-
-
-t = Test(0, "x", [0.5, 0.7])
-print(t)
-print(t.__field_queries)
-print(t.__create_query)
-print(t.__select_query)
-print(t.__save_query)
-print(t.__to_blob())
-print(Test.__from_blob('{"foo": 7, "bar": "z", "baz": []}'))

lib/rollbot/command/__init__.py

@@ -1,3 +1,2 @@
-from .decorators import as_command, on_startup, on_shutdown, get_command_config, as_data
-from .failure import RollbotFailure
+from .decorators import as_command, on_startup, on_shutdown, get_command_config
 from .injection import Args, ArgList, ArgListSplitOn, ArgParse, Database, Lazy

lib/rollbot/command/decorators.py

@@ -105,48 +105,3 @@ def get_command_config() -> CommandConfiguration:
         startup=decorated_startup,
         shutdown=decorated_shutdown,
     )
-
-
-def as_data(cls):
-    table_name = "".join(("_" + c.lower()) if "A" <= c <= "Z" else c for c in cls.__name__).strip("_")
-
-    columns = [
-        "key TEXT NOT NULL PRIMARY KEY",
-        'body TEXT DEFAULT ""',
-    ]
-    queries = {}
-
-    for k, v in cls.__annotations__.items():
-        if v == int:
-            t = "INT"
-        elif v == float:
-            t = "REAL"
-        elif v == str:
-            t = "TEXT"
-        else:
-            continue
-        columns.append(f"__{k} {t} GENERATED ALWAYS AS (json_extract(body, '$.{k}')) VIRTUAL")
-        queries[k] = f"SELECT body FROM {table_name} WHERE __{k} = ?"
-
-    create_query = f"CREATE TABLE IF NOT EXISTS {table_name} ({', '.join(columns)})"
-
-    @on_startup
-    async def create_table(context: Context):
-        async with context.database() as db:
-            await db.execute(create_query)
-            await db.commit()
-
-    new_class = type(
-        cls.__name__,
-        (dataclasses.dataclass(cls),),
-        dict(
-            __field_queries=queries,
-            __create_query=create_query,
-            __select_query=f"SELECT body FROM {table_name} WHERE key=:key",
-            __save_query=f"INSERT INTO {table_name} VALUES (:key, :body) ON CONFLICT(key) DO UPDATE SET body=:body",
-            __to_blob=lambda self: json.dumps(dataclasses.asdict(self)),
-            __from_blob=staticmethod(lambda blob: new_class(**json.loads(blob)))
-        ),
-    )
-
-    return new_class