I’m working on a project that uses FastAPI alongside Pydantic and SQLAlchemy. I’m also using encode/databases to manage database connections. But for some weird reason, I get asyncpg.exceptions.DataError: invalid input for query argument $1: 217027642536 (value out of int32 range)
anytime I try saving to the database. Here’s what my code looks like:
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]
I can’t see anything wrong with this. Someone, please tell me what the hell is going on?
Advertisement
Answer
You are basically having Integer Overflow, Int32 represents 2^31 - 1
, that means it can store the values in range -2147483648 to 2147483648 but the value you are trying to insert is bigger than 2^31
2**31 > 217027642536
Out: False
So you need to use SQLAlchemy’s BigInteger type represents Int64 it also represents 2^63 - 1
which can store the values in range negative and positive 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)
) ^^^^^^^^^^
Changing market’s Column Type with the BigInteger should solve the problem, but be careful bigger types uses more memory.