This release is a pre-release and may not be stable for production use.
benzene-pydantic
Validate a Benzene handler's request with a pydantic model — the Python ecosystem's standard for parsing and validating request data — for the Benzene Python port.
Depends on benzene-core and pydantic. The core stays
pydantic-free; this optional adapter is the one place the dependency lives.
pip install benzene-pydantic
from benzene.core import message
from benzene.pydantic import validated
from benzene.results import Result
from pydantic import BaseModel
class PlaceOrder(BaseModel):
sku: str
quantity: int = 1
@message("orders:place") # no request_type — the raw body flows in and @validated checks it
@validated(PlaceOrder)
async def place(order: PlaceOrder) -> Result:
return Result.created(order) # a pydantic model returned as payload serializes on the wire
@validated(Model) validates the decoded body into Model before your handler runs. A
pydantic.ValidationError becomes a validation-error Result that names each bad field, so a
malformed request never reaches your handler and never crashes the pipeline:
# POST {"quantity": "not-an-int"} -> status "validation-error"
# detail: "sku: Field required, quantity: Input should be a valid integer, ..."
A pydantic model returned as a success payload is serialized by benzene.core's wire mapper
(model_dump(by_alias=True)). Unlike a dataclass — whose fields the mapper auto-camelCases — a
pydantic model is dumped under its own field names, so give the model a camelCase alias_generator
to cross the wire in the Benzene naming policy (then it matches a dataclass response).
Contributes the benzene.pydantic subpackage to the shared benzene namespace.
1 maintainer
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