mirror of
https://github.com/tanrax/python-api-frameworks-benchmark
synced 2026-01-09 06:43:38 +01:00
0d7b4488c6
- Introduced a mapping for endpoint URLs to descriptive names for better clarity in graphs. - Updated the graph generation functions to utilize the new display names. - Adjusted sorting of endpoints and frameworks in the combined graph. - Modified benchmark results in `BENCHMARK_RESULTS.md` to reflect updated performance metrics. - Changed data import in FastAPI, Litestar, Django, and Ninja APIs to use `test_data` instead of `shared.data` for consistency.
57 lines
1.3 KiB
Python
57 lines
1.3 KiB
Python
from __future__ import annotations
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import dataclasses
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from enum import Enum
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import pydantic
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class Species(str, Enum):
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DOG = "Dog"
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CAT = "Cat"
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MONKEY = "Monkey"
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PIG = "Pig"
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@dataclasses.dataclass
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class PetDataclass:
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name: str
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age: float
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species: Species = Species.MONKEY
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@dataclasses.dataclass
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class PersonDataclass:
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first_name: str
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last_name: str
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id: str
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optional: str | None
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complex: dict[str, list[dict[str, str]]]
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pets: list[PetDataclass]
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class PetPydantic(pydantic.BaseModel):
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name: str
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age: float
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species: Species = Species.MONKEY
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class PersonPydantic(pydantic.BaseModel):
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first_name: str
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last_name: str
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id: str
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optional: str | None
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complex: dict[str, list[dict[str, str]]]
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pets: list[PetPydantic] = pydantic.Field(len=1)
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def load(raw_data: dict) -> tuple[list[PersonPydantic], list[PersonDataclass]]:
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pydantic_data = pydantic.parse_obj_as(list[PersonPydantic], raw_data)
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dataclass_data = []
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for person_data in raw_data:
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kwargs = {**person_data}
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if person_data["pets"]:
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kwargs["pets"] = [PetDataclass(**pet) for pet in person_data["pets"]]
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dataclass_data.append(PersonDataclass(**kwargs))
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return pydantic_data, dataclass_data
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