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docs/de/docs/tutorial/security/first-steps.md
* Das Frontend speichert diesen Token vorübergehend irgendwo. * Der Benutzer klickt im Frontend, um zu einem anderen Abschnitt der Frontend-Web-Anwendung zu gelangen. * Das Frontend muss weitere Daten von der API abrufen. * Es benötigt jedoch eine Authentifizierung für diesen bestimmten Endpunkt.
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docs/en/docs/advanced/generate-clients.md
<div class="termy"> ```console $ npm run generate-client frontend-app@1.0.0 generate-client /home/user/code/frontend-app > openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios ``` </div> That command will generate code in `./src/client` and will use `axios` (the frontend HTTP library) internally. ### Try Out the Client Code
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docs/pt/docs/tutorial/security/first-steps.md
* E se o token for roubado, o risco é menor. Não é como se fosse uma chave permanente que vai funcionar para sempre (na maioria dos casos). * O frontend armazena aquele token temporariamente em algum lugar. * O usuário clica no frontend para ir à outra seção daquele frontend do aplicativo web. * O frontend precisa buscar mais dados daquela API. * Mas precisa de autenticação para aquele endpoint em específico.
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docs/de/docs/project-generation.md
* Load Balancing zwischen Frontend und Backend mit **Traefik**, sodass Sie beide unter derselben Domain haben können, getrennt durch den Pfad, aber von unterschiedlichen Containern ausgeliefert. * Traefik-Integration, einschließlich automatischer Generierung von Let's Encrypt-**HTTPS**-Zertifikaten. * GitLab **CI** (kontinuierliche Integration), einschließlich Frontend- und Backend-Testen. ## Full Stack FastAPI Couchbase
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analysis/analysis-api-fe10/build.gradle.kts
plugins { kotlin("jvm") id("jps-compatible") } dependencies { implementation(project(":core:descriptors.jvm")) implementation(project(":compiler:frontend")) implementation(project(":compiler:frontend.java")) implementation(project(":analysis:analysis-api-impl-base")) implementation(project(":analysis:analysis-internal-utils")) implementation(project(":analysis:kt-references"))
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docs/de/docs/advanced/generate-clients.md
<div class="termy"> ```console $ npm run generate-client frontend-app@1.0.0 generate-client /home/user/code/frontend-app > openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios ``` </div> Dieser Befehl generiert Code in `./src/client` und verwendet intern `axios` (die Frontend-HTTP-Bibliothek). ### Den Client-Code ausprobieren
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docs/zh/docs/advanced/generate-clients.md
"typescript": "^4.6.2" } } ``` 在这里添加 NPM `generate-client` 脚本后,您可以使用以下命令运行它: <div class="termy"> ```console $ npm run generate-client frontend-app@1.0.0 generate-client /home/user/code/frontend-app > openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios ``` </div> 此命令将在 `./src/client` 中生成代码,并将在其内部使用 `axios`(前端HTTP库)。 ### 尝试客户端代码
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docs/de/docs/advanced/behind-a-proxy.md
Das Frontend (das im Browser läuft) würde also versuchen, `/openapi.json` zu erreichen und wäre nicht in der Lage, das OpenAPI-Schema abzurufen.
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docs/en/docs/advanced/behind-a-proxy.md
But then, when you open the integrated docs UI (the frontend), it would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`. 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
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docs/em/docs/advanced/generate-clients.md
"typescript": "^4.6.2" } } ``` ⏮️ ✔️ 👈 ☕ `generate-client` ✍ 📤, 👆 💪 🏃 ⚫️ ⏮️: <div class="termy"> ```console $ npm run generate-client frontend-app@1.0.0 generate-client /home/user/code/frontend-app > openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios ``` </div> 👈 📋 🔜 🏗 📟 `./src/client` & 🔜 ⚙️ `axios` (🕸 🇺🇸🔍 🗃) 🔘.
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