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  1. docs_src/extra_data_types/tutorial001_an_py39.py

    async def read_items(
        item_id: UUID,
        start_datetime: Annotated[datetime, Body()],
        end_datetime: Annotated[datetime, Body()],
        process_after: Annotated[timedelta, Body()],
        repeat_at: Annotated[Union[time, None], Body()] = None,
    ):
        start_process = start_datetime + process_after
        duration = end_datetime - start_process
        return {
            "item_id": item_id,
            "start_datetime": start_datetime,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 801 bytes
    - Viewed (0)
  2. docs_src/openapi_webhooks/tutorial001.py

    from datetime import datetime
    
    from fastapi import FastAPI
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Subscription(BaseModel):
        username: str
        monthly_fee: float
        start_date: datetime
    
    
    @app.webhooks.post("new-subscription")
    def new_subscription(body: Subscription):
        """
        When a new user subscribes to your service we'll send you a POST request with this
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Oct 20 09:00:44 GMT 2023
    - 550 bytes
    - Viewed (0)
  3. tests/test_tutorial/test_extra_data_types/test_tutorial001_an.py

        item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
        data = {
            "start_datetime": "2018-12-22T14:00:00+00:00",
            "end_datetime": "2018-12-24T15:00:00+00:00",
            "repeat_at": "15:30:00",
            "process_after": 300,
        }
        expected_response = data.copy()
        expected_response.update(
            {
                "start_process": "2018-12-22T14:05:00+00:00",
                "duration": 176_100,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 6.8K bytes
    - Viewed (0)
  4. tests/test_tutorial/test_extra_data_types/test_tutorial001_an_py39.py

        item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
        data = {
            "start_datetime": "2018-12-22T14:00:00+00:00",
            "end_datetime": "2018-12-24T15:00:00+00:00",
            "repeat_at": "15:30:00",
            "process_after": 300,
        }
        expected_response = data.copy()
        expected_response.update(
            {
                "start_process": "2018-12-22T14:05:00+00:00",
                "duration": 176_100,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 7K bytes
    - Viewed (0)
  5. tests/test_tutorial/test_extra_data_types/test_tutorial001_py310.py

        item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
        data = {
            "start_datetime": "2018-12-22T14:00:00+00:00",
            "end_datetime": "2018-12-24T15:00:00+00:00",
            "repeat_at": "15:30:00",
            "process_after": 300,
        }
        expected_response = data.copy()
        expected_response.update(
            {
                "start_process": "2018-12-22T14:05:00+00:00",
                "duration": 176_100,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 7K bytes
    - Viewed (0)
  6. tests/test_tutorial/test_extra_data_types/test_tutorial001.py

        item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
        data = {
            "start_datetime": "2018-12-22T14:00:00+00:00",
            "end_datetime": "2018-12-24T15:00:00+00:00",
            "repeat_at": "15:30:00",
            "process_after": 300,
        }
        expected_response = data.copy()
        expected_response.update(
            {
                "start_process": "2018-12-22T14:05:00+00:00",
                "duration": 176_100,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 6.8K bytes
    - Viewed (0)
  7. docs_src/middleware/tutorial001.py

    import time
    
    from fastapi import FastAPI, Request
    
    app = FastAPI()
    
    
    @app.middleware("http")
    async def add_process_time_header(request: Request, call_next):
        start_time = time.time()
        response = await call_next(request)
        process_time = time.time() - start_time
        response.headers["X-Process-Time"] = str(process_time)
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Thu Mar 26 19:09:53 GMT 2020
    - 349 bytes
    - Viewed (0)
  8. ci/official/utilities/extract_resultstore_links.py

        # 'Streaming build results to: ...' lines, one at the start, and one at the
        # end of the invocation.
        # If there's a failure message, it will be found in-between these two.
    
        if not current_url:
          url_lines['start'] = i
        elif current_url == url:
          url_lines['end'] = i
        else:
          result_store_links[current_url]['next_url'] = i
          url_lines['start'] = i
        current_url = url
    
    Python
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Wed Nov 08 17:50:27 GMT 2023
    - 10.9K bytes
    - Viewed (0)
  9. docs_src/extra_data_types/tutorial001_py310.py

    async def read_items(
        item_id: UUID,
        start_datetime: datetime = Body(),
        end_datetime: datetime = Body(),
        process_after: timedelta = Body(),
        repeat_at: time | None = Body(default=None),
    ):
        start_process = start_datetime + process_after
        duration = end_datetime - start_process
        return {
            "item_id": item_id,
            "start_datetime": start_datetime,
            "end_datetime": end_datetime,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 724 bytes
    - Viewed (0)
  10. fastapi/encoders.py

                a custom encoder.
                """
            ),
        ] = None,
        sqlalchemy_safe: Annotated[
            bool,
            Doc(
                """
                Exclude from the output any fields that start with the name `_sa`.
    
                This is mainly a hack for compatibility with SQLAlchemy objects, they
                store internal SQLAlchemy-specific state in attributes named with `_sa`,
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 21:56:59 GMT 2024
    - 10.8K bytes
    - Viewed (0)
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