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docs_src/body_nested_models/tutorial008_py39.py
from fastapi import FastAPI from pydantic import BaseModel, HttpUrl app = FastAPI() class Image(BaseModel): url: HttpUrl name: str @app.post("/images/multiple/") async def create_multiple_images(images: list[Image]):
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Fri Jan 07 14:11:31 GMT 2022 - 248 bytes - Click Count (0) -
tests/test_tutorial/test_wsgi/test_tutorial001.py
from fastapi.testclient import TestClient from docs_src.wsgi.tutorial001_py39 import app client = TestClient(app) def test_flask(): response = client.get("/v1/") assert response.status_code == 200, response.text assert response.text == "Hello, World from Flask!" def test_app(): response = client.get("/v2") assert response.status_code == 200, response.text
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 441 bytes - Click Count (1) -
docs_src/security/tutorial003_an_py39.py
from typing import Annotated, Union from fastapi import Depends, FastAPI, HTTPException, status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from pydantic import BaseModel fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "******@****.***", "hashed_password": "fakehashedsecret", "disabled": False, }, "alice": {Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Mon Nov 24 19:03:06 GMT 2025 - 2.5K bytes - Click Count (0) -
docs/batch-jobs/README.md
- Replicate objects between buckets on multiple sites Upcoming Jobs - Copy objects from NAS to MinIO - Copy objects from HDFS to MinIO ## Replication Job To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes - Source location from where the objects must be copied from - Target location from where the objects must be copied to
Created: Sun Dec 28 19:28:13 GMT 2025 - Last Modified: Thu Oct 06 06:00:43 GMT 2022 - 4.8K bytes - Click Count (0) -
docs_src/body_multiple_params/tutorial005_an_py310.py
from typing import Annotated from fastapi import Body, FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str description: str | None = None price: float tax: float | None = None @app.put("/items/{item_id}") async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]): results = {"item_id": item_id, "item": item}
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 409 bytes - Click Count (0) -
docs_src/query_param_models/tutorial001_py39.py
from typing import Literal from fastapi import FastAPI, Query from pydantic import BaseModel, Field app = FastAPI() class FilterParams(BaseModel): limit: int = Field(100, gt=0, le=100) offset: int = Field(0, ge=0) order_by: Literal["created_at", "updated_at"] = "created_at" tags: list[str] = [] @app.get("/items/") async def read_items(filter_query: FilterParams = Query()):
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 422 bytes - Click Count (0) -
docs_src/additional_status_codes/tutorial001_an_py310.py
from typing import Annotated from fastapi import Body, FastAPI, status from fastapi.responses import JSONResponse app = FastAPI() items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}} @app.put("/items/{item_id}") async def upsert_item( item_id: str, name: Annotated[str | None, Body()] = None, size: Annotated[int | None, Body()] = None, ): if item_id in items:
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 686 bytes - Click Count (0) -
pdm_build.py
import os from typing import Any from pdm.backend.hooks import Context TIANGOLO_BUILD_PACKAGE = os.getenv("TIANGOLO_BUILD_PACKAGE", "fastapi") def pdm_build_initialize(context: Context) -> None: metadata = context.config.metadata # Get custom config for the current package, from the env var config: dict[str, Any] = context.config.data["tool"]["tiangolo"][ "_internal-slim-build" ]["packages"].get(TIANGOLO_BUILD_PACKAGE)
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 21:25:59 GMT 2025 - 691 bytes - Click Count (0) -
tests/test_tutorial/test_python_types/test_tutorial009_tutorial009b.py
import importlib from types import ModuleType from unittest.mock import patch import pytest from ...utils import needs_py310 @pytest.fixture( name="module", params=[ pytest.param("tutorial009_py39"), pytest.param("tutorial009_py310", marks=needs_py310), pytest.param("tutorial009b_py39"), ], ) def get_module(request: pytest.FixtureRequest):
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Fri Dec 26 10:43:02 GMT 2025 - 805 bytes - Click Count (0) -
tests/test_tutorial/test_python_types/test_tutorial009c.py
import importlib import re from types import ModuleType from unittest.mock import patch import pytest from ...utils import needs_py310 @pytest.fixture( name="module", params=[ pytest.param("tutorial009c_py39"), pytest.param("tutorial009c_py310", marks=needs_py310), ], ) def get_module(request: pytest.FixtureRequest): mod = importlib.import_module(f"docs_src.python_types.{request.param}")
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Fri Dec 26 10:43:02 GMT 2025 - 777 bytes - Click Count (0)