The format that's super!
Project description
duper-python
Duper support for Python.
See the main project on GitHub.
Examples
The basic json/pickle-like interface:
import duper
DUPER_DATA = """
APIResponse({
status: 200,
headers: {
content_type: "application/duper",
cache_control: "max-age=3600",
},
body: {
users: [
User({
id: Uuid("7039311b-02d2-4849-a6de-900d4dbe9acb"),
name: "Alice",
email: Email("alice@example.com"),
roles: ["admin", "user"],
metadata: {
last_login: DateTime("2024-01-15T10:30:00Z"),
ip: IPV4("173.255.230.79"),
},
}),
],
},
})
"""
python_dict = duper.loads(DUPER_DATA) # Actually a Pydantic BaseModel!
with open("out.duper", "w") as f:
duper.dump(DUPER_DATA)
Using Pydantic:
from datetime import datetime
import re
import uuid
from duper import BaseModel
class RegisteredRegex(BaseModel):
regex_id: uuid.UUID
created_at: datetime
pattern: re.Pattern
matches: list[str] | None = None
data = RegisteredRegex(
regex_id=uuid.uuid4(),
created_at=datetime.now(),
pattern=re.compile(r"^Hello w.rld!$"),
)
data_str = data.model_dump(mode="duper")
print(data_str)
reconstituted_data = RegisteredRegex.model_validate_duper(data_str)
assert data == reconstituted_data
Using FastAPI:
from typing import Annotated
from duper.fastapi import DuperBody, DuperResponse
from duper import BaseModel
from fastapi import FastAPI
class DuplicatableData(BaseModel):
tup: tuple[str, bytes]
value: int
app = FastAPI()
@app.post("/double", response_class=DuperResponse)
async def double_the_data(
body: Annotated[DuplicatableData, DuperBody(DuplicatableData)],
) -> DuperResponse:
return DuperResponse(
DuplicatableData(
tup=(body.tup[0] + body.tup[0], body.tup[1] + body.tup[1]),
value=2 * body.value,
)
)
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