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Pydantic

This guide will help you use Pydantic to perform runtime type validation when sending and receiving events.

Sending events

Create a base class that all your event classes will inherit from. This class has methods to convert to and from inngest.Event objects.

import inngest
import pydantic
import typing

TEvent = typing.TypeVar("TEvent", bound="BaseEvent")

class BaseEvent(pydantic.BaseModel):
    data: pydantic.BaseModel
    id: str = ""
    name: typing.ClassVar[str]
    ts: int = 0

    @classmethod
    def from_event(cls: type[TEvent], event: inngest.Event) -> TEvent:
        return cls.model_validate(event.model_dump(mode="json"))

    def to_event(self) -> inngest.Event:
        return inngest.Event(
            name=self.name,
            data=self.data.model_dump(mode="json"),
            id=self.id,
            ts=self.ts,
        )

Next, create a Pydantic model for your event.

class PostUpvotedEventData(pydantic.BaseModel):
    count: int

class PostUpvotedEvent(BaseEvent):
    data: PostUpvotedEventData
    name: typing.ClassVar[str] = "forum/post.upvoted"

Since Pydantic validates on instantiation, the following code will raise an error if the data is invalid.

client.send(
    PostUpvotedEvent(
        data=PostUpvotedEventData(count="bad data"),
    ).to_event()
)

Receiving events

When defining your Inngest function, use the name class field when specifying the trigger. Within the function body, call the from_event class method to convert the inngest.Event object to your Pydantic model.

@client.create_function(
    fn_id="handle-upvoted-post",
    trigger=inngest.TriggerEvent(event=PostUpvotedEvent.name),
)
def fn(
    ctx: inngest.Context,
    step: inngest.StepSync,
) -> None:
    event = PostUpvotedEvent.from_event(ctx.event)