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.github/workflows/notify-translations.yml
name: Notify Translations on: pull_request_target: types: - labeled - closed workflow_dispatch: inputs: number: description: PR number required: true debug_enabled: description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)' required: false default: 'false' jobs: notify-translations:
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.github/actions/notify-translations/action.yml
name: "Notify Translations" description: "Notify in the issue for a translation when there's a new PR available" author: "Sebastián Ramírez <******@****.***>" inputs: token: description: 'Token, to read the GitHub API. Can be passed in using {{ secrets.GITHUB_TOKEN }}' required: true runs: using: 'docker'
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docs/en/docs/tutorial/handling-errors.md
# Handling Errors There are many situations in which you need to notify an error to a client that is using your API. This client could be a browser with a frontend, a code from someone else, an IoT device, etc. You could need to tell the client that: * The client doesn't have enough privileges for that operation. * The client doesn't have access to that resource. * The item the client was trying to access doesn't exist. * etc.
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docs/en/docs/advanced/openapi-webhooks.md
# OpenAPI Webhooks There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**. This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app). This is normally called a **webhook**. ## Webhooks steps
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docs/en/docs/tutorial/sql-databases.md
!!! tip Notice that the values you return are SQLAlchemy models, or lists of SQLAlchemy models. But as all the *path operations* have a `response_model` with Pydantic *models* / schemas using `orm_mode`, the data declared in your Pydantic models will be extracted from them and returned to the client, with all the normal filtering and validation. !!! tip
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docs/en/docs/advanced/events.md
!!! tip The `shutdown` would happen when you are **stopping** the application. Maybe you need to start a new version, or you just got tired of running it. 🤷 ### Lifespan function The first thing to notice, is that we are defining an async function with `yield`. This is very similar to Dependencies with `yield`. ```Python hl_lines="14-19" {!../../../docs_src/events/tutorial003.py!} ```
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docs/en/docs/how-to/configure-swagger-ui.md
<img src="/img/tutorial/extending-openapi/image03.png"> ## Change the Theme The same way you could set the syntax highlighting theme with the key `"syntaxHighlight.theme"` (notice that it has a dot in the middle): ```Python hl_lines="3" {!../../../docs_src/configure_swagger_ui/tutorial002.py!} ``` That configuration would change the syntax highlighting color theme:
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
```Python something() ``` or ```Python something(some_argument, some_keyword_argument="foo") ``` then it is a "callable". ## Classes as dependencies You might notice that to create an instance of a Python class, you use that same syntax. For example: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy")
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docs/zh/docs/deployment/deta.md
``` </div> 这个命令会打开浏览器并自动验证身份。 ## 使用 Deta 部署 接下来,使用 Deta CLI 部署应用: <div class="termy"> ```console $ deta new Successfully created a new micro // Notice the "endpoint" 🔍 { "name": "fastapideta", "runtime": "python3.7", "endpoint": "https://qltnci.deta.dev", "visor": "enabled", "http_auth": "enabled" } Adding dependencies...
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docs/en/docs/advanced/additional-responses.md
```Python hl_lines="19-24 28" {!../../../docs_src/additional_responses/tutorial002.py!} ``` !!! note Notice that you have to return the image using a `FileResponse` directly. !!! info
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