mirror of
https://github.com/immich-app/immich.git
synced 2024-12-28 06:31:58 +00:00
chore(ml): update pydantic (#13230)
* update pydantic * fix typing * remove unused import * remove unused schema
This commit is contained in:
Mert
GitHub
parent
f29fb1655a
commit
e7397f35c9
6 changed files with 186 additions and 82 deletions
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@ -6,7 +6,8 @@ from pathlib import Path
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from socket import socket
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from gunicorn.arbiter import Arbiter
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from pydantic import BaseModel, BaseSettings
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from pydantic import BaseModel
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from rich.console import Console
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from rich.logging import RichHandler
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from uvicorn import Server
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@ -14,11 +15,18 @@ from uvicorn.workers import UvicornWorker
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class PreloadModelData(BaseModel):
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clip: str | None
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facial_recognition: str | None
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clip: str | None = None
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facial_recognition: str | None = None
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(
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env_prefix="MACHINE_LEARNING_",
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case_sensitive=False,
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env_nested_delimiter="__",
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protected_namespaces=("settings_",),
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)
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cache_folder: Path = Path("/cache")
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model_ttl: int = 300
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model_ttl_poll_s: int = 10
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@ -34,23 +42,17 @@ class Settings(BaseSettings):
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ann_tuning_level: int = 2
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preload: PreloadModelData | None = None
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class Config:
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env_prefix = "MACHINE_LEARNING_"
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case_sensitive = False
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env_nested_delimiter = "__"
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@property
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def device_id(self) -> str:
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return os.environ.get("MACHINE_LEARNING_DEVICE_ID", "0")
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class LogSettings(BaseSettings):
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model_config = SettingsConfigDict(case_sensitive=False)
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immich_log_level: str = "info"
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no_color: bool = False
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class Config:
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case_sensitive = False
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_clean_name = str.maketrans(":\\/", "___", ".")
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@ -12,7 +12,7 @@ from zipfile import BadZipFile
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import orjson
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from fastapi import Depends, FastAPI, File, Form, HTTPException
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from fastapi.responses import ORJSONResponse
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from fastapi.responses import ORJSONResponse, PlainTextResponse
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from onnxruntime.capi.onnxruntime_pybind11_state import InvalidProtobuf, NoSuchFile
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from PIL.Image import Image
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from pydantic import ValidationError
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@ -28,14 +28,12 @@ from .schemas import (
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InferenceEntries,
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InferenceEntry,
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InferenceResponse,
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MessageResponse,
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ModelFormat,
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ModelIdentity,
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ModelTask,
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ModelType,
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PipelineRequest,
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T,
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TextResponse,
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)
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MultiPartParser.max_file_size = 2**26 # spools to disk if payload is 64 MiB or larger
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@ -127,14 +125,14 @@ def get_entries(entries: str = Form()) -> InferenceEntries:
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app = FastAPI(lifespan=lifespan)
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@app.get("/", response_model=MessageResponse)
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async def root() -> dict[str, str]:
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return {"message": "Immich ML"}
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@app.get("/")
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async def root() -> ORJSONResponse:
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return ORJSONResponse({"message": "Immich ML"})
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@app.get("/ping", response_model=TextResponse)
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def ping() -> str:
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return "pong"
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@app.get("/ping")
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def ping() -> PlainTextResponse:
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return PlainTextResponse("pong")
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@app.post("/predict", dependencies=[Depends(update_state)])
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@ -1,9 +1,9 @@
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from enum import Enum
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from typing import Any, Literal, Protocol, TypedDict, TypeGuard, TypeVar
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from typing import Any, Literal, Protocol, TypeGuard, TypeVar
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import numpy as np
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import numpy.typing as npt
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from pydantic import BaseModel
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from typing_extensions import TypedDict
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class StrEnum(str, Enum):
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@ -13,14 +13,6 @@ class StrEnum(str, Enum):
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return self.value
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class TextResponse(BaseModel):
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__root__: str
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class MessageResponse(BaseModel):
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message: str
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class BoundingBox(TypedDict):
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x1: int
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y1: int
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@ -810,11 +810,26 @@ class TestLoad:
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mock_model.model_format = ModelFormat.ONNX
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def test_root_endpoint(deployed_app: TestClient) -> None:
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response = deployed_app.get("http://localhost:3003")
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body = response.json()
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assert response.status_code == 200
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assert body == {"message": "Immich ML"}
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def test_ping_endpoint(deployed_app: TestClient) -> None:
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response = deployed_app.get("http://localhost:3003/ping")
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assert response.status_code == 200
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assert response.text == "pong"
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@pytest.mark.skipif(
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not settings.test_full,
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reason="More time-consuming since it deploys the app and loads models.",
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)
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class TestEndpoints:
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class TestPredictionEndpoints:
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def test_clip_image_endpoint(
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self, pil_image: Image.Image, responses: dict[str, Any], deployed_app: TestClient
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) -> None:
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196
machine-learning/poetry.lock
generated
196
machine-learning/poetry.lock
generated
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@ -40,6 +40,17 @@ develop = ["imgaug (>=0.4.0)", "pytest"]
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imgaug = ["imgaug (>=0.4.0)"]
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tests = ["pytest"]
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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description = "Reusable constraint types to use with typing.Annotated"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
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{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
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]
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[[package]]
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name = "anyio"
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version = "4.2.0"
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@ -2374,62 +2385,147 @@ files = [
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[[package]]
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name = "pydantic"
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version = "1.10.18"
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description = "Data validation and settings management using python type hints"
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version = "2.9.2"
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description = "Data validation using Python type hints"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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{file = "pydantic-1.10.18.tar.gz", hash = "sha256:baebdff1907d1d96a139c25136a9bb7d17e118f133a76a2ef3b845e831e3403a"},
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]
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[package.dependencies]
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typing-extensions = ">=4.2.0"
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annotated-types = ">=0.6.0"
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pydantic-core = "2.23.4"
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typing-extensions = [
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{version = ">=4.6.1", markers = "python_version < \"3.13\""},
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{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
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]
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[package.extras]
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dotenv = ["python-dotenv (>=0.10.4)"]
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email = ["email-validator (>=1.0.3)"]
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email = ["email-validator (>=2.0.0)"]
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timezone = ["tzdata"]
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[[package]]
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name = "pydantic-core"
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version = "2.23.4"
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description = "Core functionality for Pydantic validation and serialization"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
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||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
|
||||
{file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
|
||||
|
||||
[[package]]
|
||||
name = "pydantic-settings"
|
||||
version = "2.5.2"
|
||||
description = "Settings management using Pydantic"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pydantic_settings-2.5.2-py3-none-any.whl", hash = "sha256:2c912e55fd5794a59bf8c832b9de832dcfdf4778d79ff79b708744eed499a907"},
|
||||
{file = "pydantic_settings-2.5.2.tar.gz", hash = "sha256:f90b139682bee4d2065273d5185d71d37ea46cfe57e1b5ae184fc6a0b2484ca0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
pydantic = ">=2.7.0"
|
||||
python-dotenv = ">=0.21.0"
|
||||
|
||||
[package.extras]
|
||||
azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
|
||||
toml = ["tomli (>=2.0.1)"]
|
||||
yaml = ["pyyaml (>=6.0.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "pygments"
|
||||
|
|
@ -3605,4 +3701,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<4.0"
|
||||
content-hash = "45c4d57450fbdd0c24a8e7e00ebd023412fa6db04700d0f3818c39c8777d0e31"
|
||||
content-hash = "f4594d26ee661fb239c7b5750a4c79e5e049480182928af816ccf5e34e8b641f"
|
||||
|
|
|
|||
|
|
@ -13,7 +13,8 @@ opencv-python-headless = ">=4.7.0.72,<5.0"
|
|||
pillow = ">=9.5.0,<11.0"
|
||||
fastapi-slim = ">=0.95.2,<1.0"
|
||||
uvicorn = {extras = ["standard"], version = ">=0.22.0,<1.0"}
|
||||
pydantic = "^1.10.8"
|
||||
pydantic = "^2.0.0"
|
||||
pydantic-settings = "^2.5.2"
|
||||
aiocache = ">=0.12.1,<1.0"
|
||||
rich = ">=13.4.2"
|
||||
ftfy = ">=6.1.1"
|
||||
|
|
|
|||
Loading…
Reference in a new issue