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Results 1 - 10 of 13 for tetchy (0.27 sec)

  1. docs/en/docs/advanced/behind-a-proxy.md

    So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.
    
    Because we have a proxy with a path prefix of `/api/v1` for our app, the frontend needs to fetch the OpenAPI schema at `/api/v1/openapi.json`.
    
    ```mermaid
    graph LR
    
    browser("Browser")
    proxy["Proxy on http://0.0.0.0:9999/api/v1/app"]
    server["Server on http://127.0.0.1:8000/app"]
    
    browser --> proxy
    Plain Text
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  2. docs/en/docs/advanced/generate-clients.md

    ## OpenAPI Client Generators
    
    There are many tools to generate clients from **OpenAPI**.
    
    A common tool is <a href="https://openapi-generator.tech/" class="external-link" target="_blank">OpenAPI Generator</a>.
    
    If you are building a **frontend**, a very interesting alternative is <a href="https://github.com/hey-api/openapi-ts" class="external-link" target="_blank">openapi-ts</a>.
    Plain Text
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  3. docs/pl/docs/index.md

    ---
    
    FastAPI to nowoczesny, wydajny framework webowy do budowania API z użyciem Pythona bazujący na standardowym typowaniu Pythona.
    
    Kluczowe cechy:
    
    * **Wydajność**: FastAPI jest bardzo wydajny, na równi z **NodeJS** oraz **Go** (dzięki Starlette i Pydantic). [Jeden z najszybszych dostępnych frameworków Pythonowych](#wydajnosc).
    Plain Text
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  4. docs/en/docs/tutorial/security/first-steps.md

    * The frontend stores that token temporarily somewhere.
    * The user clicks in the frontend to go to another section of the frontend web app.
    * The frontend needs to fetch some more data from the API.
        * But it needs authentication for that specific endpoint.
        * So, to authenticate with our API, it sends a header `Authorization` with a value of `Bearer ` plus the token.
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  5. docs/en/docs/js/custom.js

    const div = document.querySelector('.github-topic-projects')
    
    async function getDataBatch(page) {
        const response = await fetch(`https://api.github.com/search/repositories?q=topic:fastapi&per_page=100&page=${page}`, { headers: { Accept: 'application/vnd.github.mercy-preview+json' } })
        const data = await response.json()
        return data
    }
    
    async function getData() {
        let page = 1
        let data = []
        let dataBatch = await getDataBatch(page)
    JavaScript
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  6. docs/de/docs/advanced/generate-clients.md

    ## OpenAPI-Client-Generatoren
    
    Es gibt viele Tools zum Generieren von Clients aus **OpenAPI**.
    
    Ein gängiges Tool ist <a href="https://openapi-generator.tech/" class="external-link" target="_blank">OpenAPI Generator</a>.
    
    Plain Text
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  7. docs/em/docs/advanced/generate-clients.md

    1️⃣ 🎯 📈 👈 🚫 🎯 ⭐ 👈 👆 💪 **🏗 👩‍💻** (🕣 🤙 <abbr title="Software Development Kits">**📱**</abbr> ) 👆 🛠️, 📚 🎏 **🛠️ 🇪🇸**.
    
    ## 🗄 👩‍💻 🚂
    
    📤 📚 🧰 🏗 👩‍💻 ⚪️➡️ **🗄**.
    
    ⚠ 🧰 <a href="https://openapi-generator.tech/" class="external-link" target="_blank">🗄 🚂</a>.
    
    🚥 👆 🏗 **🕸**, 📶 😌 🎛 <a href="https://github.com/hey-api/openapi-ts" class="external-link" target="_blank">🗄-📕-🇦🇪</a>.
    
    ## 🏗 📕 🕸 👩‍💻
    
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  8. docs/pl/docs/features.md

    ---
    hide:
      - navigation
    ---
    
    # Cechy
    
    ## Cechy FastAPI
    
    **FastAPI** zapewnia Ci następujące korzyści:
    
    ### Oparcie o standardy open
    
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  9. docs_src/nosql_databases/tutorial001.py

    from fastapi import FastAPI
    from pydantic import BaseModel
    
    USERPROFILE_DOC_TYPE = "userprofile"
    
    
    def get_bucket():
        cluster = Cluster(
            "couchbase://couchbasehost:8091?fetch_mutation_tokens=1&operation_timeout=30&n1ql_timeout=300"
        )
        authenticator = PasswordAuthenticator("username", "password")
        cluster.authenticate(authenticator)
    Python
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  10. docs_src/async_sql_databases/tutorial001.py

    @app.on_event("shutdown")
    async def shutdown():
        await database.disconnect()
    
    
    @app.get("/notes/", response_model=List[Note])
    async def read_notes():
        query = notes.select()
        return await database.fetch_all(query)
    
    
    @app.post("/notes/", response_model=Note)
    async def create_note(note: NoteIn):
        query = notes.insert().values(text=note.text, completed=note.completed)
        last_record_id = await database.execute(query)
    Python
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