asyncpg.exceptions.DataError: invalid input for query argument $1: 217027642536 (value out of int32 range)

asyncpg.exceptions.DataError: invalid input for query argument $1: 217027642536 (value out of int32 range)

我正在开发一个使用 FastAPI 以及 Pydantic 和 SQLAlchemy 的项目。我还使用 encode/databases 来管理数据库连接。但是出于某种奇怪的原因,每当我尝试保存到数据库时,我都会得到 asyncpg.exceptions.DataError: invalid input for query argument : 217027642536 (value out of int32 range) 。这是我的代码的样子:

database.py

...
...
currencies = Table(
    'currencies',
    metadata,
    Column('id', Integer, primary_key=True),
    Column('name', String(50)),
    Column('price', Float),
    Column('price_date', DateTime),
    Column('price_timestamp', DateTime),
    Column('market_cap', Integer)
)

database = Database(DATABASE_URL)

database_manager.py

...
...
async def add_currency(payload: Currency):
    query = currencies.insert().values(**payload.dict())
    return await database.execute(query=query)

endpoints.py

...
...
@endpoints.post('/', response_model=CurrencyOutput, status_code=201)
async def add_currency():
    data = check_currency_price()

    payload = Currency(
        name=data['name'],
        price=data['price'],
        price_date=data['price_date'],
        price_timestamp=data['price_timestamp'],
        market_cap=data['market_cap']
    )

    currency_id = await database_manager.add_currency(payload)
    response = {
        'id': currency_id,
        **payload.dict()
    }

    return response

models.py

...
...
class Currency(BaseModel):
    name: str
    price: float
    price_date: datetime
    price_timestamp: datetime
    market_cap: int


class CurrencyOutput(Currency):
    id: int

services.py

def check_currency_price():
    response = httpx.get(
        'https://api.nomics.com/v1/currencies/ticker?' +
        'key=somerandomAPIkey&ids=BTC&interval=1d,30d&convert=USD'
    )

    return response.json()[0]

我看不出这有什么问题。有人,请告诉我这到底是怎么回事?

你基本上有整数溢出,Int32 代表 2^31 - 1,这意味着它可以存储范围 -2147483648 到 2147483648 但您尝试插入的值大于 2^31

2**31 > 217027642536
Out: False

所以你需要使用 SQLAlchemy 的 BigInteger 类型表示 Int64 它也表示 2^63 - 1 可以存储范围内的值消极和积极 9,223,372,036,854,775,807

from sqlalchemy import BigInteger

currencies = Table(
    'currencies',
    metadata,
    Column('id', Integer, primary_key=True),
    Column('name', String(50)),
    Column('price', Float),
    Column('price_date', DateTime),
    Column('price_timestamp', DateTime),
    Column('market_cap', BigInteger)
)                        ^^^^^^^^^^

使用 BigInteger 更改市场的列类型应该可以解决问题,但要注意更大的类型会占用更多内存。