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77 lines
1.9 KiB
Markdown
77 lines
1.9 KiB
Markdown
---
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title: Discriminate pydantic objects by field
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tags: pydantic, python, match
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---
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I really like [Pydantic](https://docs.pydantic.dev/latest/) because it makes it
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easy to define the the structure of the objects I want to use, using typing.
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I wanted to parse a json object and build a different object depending on the value of some specific key in the JSON object.
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Here, I have three types of messages: `OperationMessage`, `PeerMessage` and
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`ServerRequest`, as follows:
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```python
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from typing import Literal, Optional
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from pydantic import BaseModel
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class OperationMessage(BaseModel):
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kind: Literal["operation"] = "operation"
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verb: Literal["upsert", "update", "delete"]
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class PeerMessage(BaseModel):
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kind: Literal["peermessage"] = "peermessage"
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sender: str
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recipient: str
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message: dict
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class ServerMessage(BaseModel):
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kind: Literal["server"] = "server"
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action: Literal["list-peers"]
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```
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Each of these classes share the same `kind` key, but each of them has a different value for it. it's our discriminator.
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Let's build a generic `Request` class that will be able to build for me the proper objects:
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```python
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from typing import Union
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from pydantic import Field, RootModel, ValidationError
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class Request(RootModel):
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root: Union[ServerMessage, PeerMessage, OperationMessage] = Field(
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discriminator="kind"
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)
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```
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Which can be used this way:
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```python
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try:
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incoming = Request.model_validate_json(raw_message)
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except ValidationError as e:
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# Oh noes.
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```
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Because we have classes, we can leverage the `match` statement:
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```python
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match incoming.root:
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case OperationMessage():
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# Here to broadcast the message
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websockets.broadcast(peers, raw_message)
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case PeerMessage(recipient=_id):
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# Or to send peer messages to the proper peer
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peer = connections.get(_id)
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if peer:
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await peer.send(raw_message)
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# ... Etc.
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```
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