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docs/en/docs/tutorial/security/first-steps.md
* And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases). * 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.
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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/en/docs/project-generation.md
- 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database. - 🚀 [React](https://react.dev) for the frontend. - 💃 Using TypeScript, hooks, Vite, and other parts of a modern frontend stack. - 🎨 [Chakra UI](https://chakra-ui.com) for the frontend components. - 🤖 An automatically generated frontend client. - 🦇 Dark mode support. - 🐋 [Docker Compose](https://www.docker.com) for development and production.
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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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analysis/analysis-api-fe10/tests/org/jetbrains/kotlin/analysis/api/fe10/test/configurator/AnalysisApiFe10TestConfiguratorFactory.kt
} } } override fun supportMode(data: AnalysisApiTestConfiguratorFactoryData): Boolean { return when { data.frontend != FrontendKind.Fe10 -> false data.analysisSessionMode != AnalysisSessionMode.Normal -> false data.analysisApiMode != AnalysisApiMode.Ide -> false else -> when (data.moduleKind) {
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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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docker/Dockerfile.base
FROM ubuntu:noble ENV DEBIAN_FRONTEND=noninteractive # Do not add more stuff to this list that isn't small or critically useful. # If you occasionally need something on the container do # sudo apt-get update && apt-get whichever # hadolint ignore=DL3005,DL3008 RUN apt-get update && \ apt-get install --no-install-recommends -y \ ca-certificates \ curl \ iptables \ iproute2 \ iputils-ping \ knot-dnsutils \
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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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docs/en/docs/advanced/websockets.md
---> 100% ``` </div> ## WebSockets client ### In production In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular. And to communicate using WebSockets with your backend you would probably use your frontend's utilities. Or you might have a native mobile application that communicates with your WebSocket backend directly, in native code.
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