├── .dccache ├── .devcontainer ├── Dockerfile └── devcontainer.json ├── .github ├── dependabot.yml └── workflows │ ├── module1-azure-function-workflow.yaml │ └── module1-infra-workflow.yml ├── .gitignore ├── .vscode └── settings.json ├── CODE_OF_CONDUCT.md ├── LICENSE ├── README.md ├── SECURITY.md ├── SUPPORT.md ├── docs ├── .gitignore ├── 404.html ├── Gemfile ├── Gemfile.lock ├── _config.yml ├── _posts │ └── 2022-03-15-welcome-to-jekyll.markdown ├── assets │ ├── images │ │ ├── module0 │ │ │ ├── aks-devsecops-architecture.png │ │ │ └── devsecops-lifycycle-phases.png │ │ ├── module1 │ │ │ ├── codespaces-new-terminal.png │ │ │ ├── curl-localhost.png │ │ │ ├── module1-create-event-subscription.png │ │ │ ├── module1-function-app-settings.png │ │ │ ├── screenshot-localhost.png │ │ │ └── transaction-classification-application-architecture.png │ │ ├── module2 │ │ │ ├── appcomponents.png │ │ │ ├── chatscreen.png │ │ │ ├── cog_resources.png │ │ │ └── endpoint.png │ │ └── module3 │ │ │ ├── book-creator-sequence.png │ │ │ ├── bookcreator1.png │ │ │ ├── bookcreator2.png │ │ │ ├── bookcreator3.png │ │ │ ├── semantic-function.png │ │ │ ├── sk-bcplay.png │ │ │ ├── sk-bookcreator.png │ │ │ ├── sk-bookcstart.png │ │ │ ├── sk-pipeline.png │ │ │ ├── sk-use-cases.png │ │ │ └── sk-why.png │ └── slides │ │ └── Intro.pptx ├── index.markdown └── modules │ ├── Module0 │ ├── index.md │ ├── intro.md │ └── prereq.md │ ├── Module1 │ ├── Lab-1.md │ ├── index.md │ └── intro.md │ ├── Module2 │ ├── Lab-2.md │ ├── index.md │ └── intro.md │ └── Module3 │ ├── bookcreatorflow.md │ ├── index.md │ ├── intro.md │ └── lab-module3.md └── tools └── deploy ├── module0 ├── aad-federated-cred.sh └── credential.json ├── module1 ├── TransactionClassifier │ ├── .gitignore │ ├── Properties │ │ ├── ServiceDependencies │ │ │ └── xact-classifier-openai - Zip Deploy │ │ │ │ ├── appInsights1.arm.json │ │ │ │ └── storage1.arm.json │ │ ├── launchSettings.json │ │ ├── serviceDependencies.json │ │ ├── serviceDependencies.local.json │ │ └── serviceDependencies.xact-classifier-openai - Zip Deploy.json │ ├── TransactionClassifier.cs │ ├── TransactionClassifier.csproj │ └── host.json ├── data │ └── 25000_spend_dataset_current_25.csv └── infra │ └── module1-infra.bicep └── module3 ├── pom.xml └── src ├── main ├── java │ └── com │ │ └── github │ │ └── demo │ │ ├── DemoServer.java │ │ ├── model │ │ └── Book.java │ │ ├── service │ │ ├── BookDatabase.java │ │ ├── BookDatabaseImpl.java │ │ ├── BookService.java │ │ ├── BookServiceException.java │ │ └── BookUtils.java │ │ └── servlet │ │ ├── BookServlet.java │ │ └── StatusServlet.java ├── resources │ ├── log4j2.xml │ └── version.properties └── webapp │ └── static │ ├── books.html │ ├── books_de.properties │ ├── books_en.properties │ ├── books_fr.properties │ ├── books_nl.properties │ ├── bootstrap-3.4.1-dist │ ├── css │ │ ├── bootstrap-theme.css │ │ ├── bootstrap-theme.css.map │ │ ├── bootstrap-theme.min.css │ │ ├── bootstrap-theme.min.css.map │ │ ├── bootstrap.css │ │ ├── bootstrap.css.map │ │ ├── bootstrap.min.css │ │ └── bootstrap.min.css.map │ ├── fonts │ │ ├── glyphicons-halflings-regular.eot │ │ ├── glyphicons-halflings-regular.svg │ │ ├── glyphicons-halflings-regular.ttf │ │ ├── glyphicons-halflings-regular.woff │ │ └── glyphicons-halflings-regular.woff2 │ └── js │ │ ├── bootstrap.js │ │ ├── bootstrap.min.js │ │ └── npm.js │ └── images │ ├── covers │ ├── chasm.jpg │ ├── lean.jpg │ ├── month.jpg │ ├── pragmatic.jpg │ ├── scrum.jpg │ └── think.jpg │ ├── favicon.ico │ ├── heart.png │ ├── invertocat.svg │ ├── octocat.png │ └── star.png └── test └── java └── com └── github └── demo ├── model └── BookTest.java └── service └── BookServiceTest.java /.dccache: -------------------------------------------------------------------------------- 1 | {"c:/Users/adnankhan/dev/AKS-DevSecOps-Workshop/docs/404.html":[444,1675714544701.9653,"79d3f18e6d7254b216adc7a98da02fbc0a8211a4fa79cae5c0d4adb866f6d662"],"c:\\Users\\adnankhan\\dev\\AKS-DevSecOps-Workshop\\docs\\404.html":[444,1675714544701.9653,"79d3f18e6d7254b216adc7a98da02fbc0a8211a4fa79cae5c0d4adb866f6d662"]} -------------------------------------------------------------------------------- /.devcontainer/Dockerfile: -------------------------------------------------------------------------------- 1 | ARG VARIANT=bullseye 2 | FROM --platform=amd64 mcr.microsoft.com/vscode/devcontainers/base:0-${VARIANT} 3 | RUN wget https://packages.microsoft.com/config/ubuntu/18.04/packages-microsoft-prod.deb -O packages-microsoft-prod.deb \ 4 | && dpkg -i packages-microsoft-prod.deb 5 | RUN export DEBIAN_FRONTEND=noninteractive \ 6 | && apt-get update && apt-get install -y xdg-utils dotnet-sdk-7.0\ 7 | && apt-get clean -y && rm -rf /var/lib/apt/lists/* 8 | RUN curl -fsSL https://aka.ms/install-azd.sh | bash 9 | # RUN apt-get install -y dotnet-sdk-6.0 -------------------------------------------------------------------------------- /.devcontainer/devcontainer.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "Azure Developer CLI", 3 | "build": { 4 | "dockerfile": "Dockerfile", 5 | "args": { 6 | "VARIANT": "bullseye" 7 | } 8 | }, 9 | "features": { 10 | "ghcr.io/devcontainers/features/python:1": { 11 | "version": "os-provided" 12 | }, 13 | "ghcr.io/devcontainers/features/node:1": { 14 | "version": "16", 15 | "nodeGypDependencies": false 16 | }, 17 | "ghcr.io/devcontainers/features/powershell:1.1.0": {}, 18 | 19 | "ghcr.io/devcontainers/features/azure-cli:1.0.8": {}, 20 | 21 | "ghcr.io/devcontainers/features/dotnet:1": { 22 | "version": "6.0" }, 23 | 24 | 25 | "ghcr.io/jlaundry/devcontainer-features/azure-functions-core-tools:1": {} 26 | }, 27 | "customizations": { 28 | "vscode": { 29 | "extensions": [ 30 | "ms-dotnettools.dotnet-interactive-vscode", 31 | "ms-semantic-kernel.semantic-kernel", 32 | "esbenp.prettier-vscode", 33 | "ms-azuretools.azure-dev", 34 | "ms-azuretools.vscode-bicep", 35 | "ms-python.python" 36 | ] 37 | } 38 | }, 39 | "forwardPorts": [ 40 | 5000 41 | ], 42 | "postCreateCommand": "", 43 | "remoteUser": "vscode", 44 | "hostRequirements": { 45 | "memory": "8gb" 46 | } 47 | } -------------------------------------------------------------------------------- /.github/dependabot.yml: -------------------------------------------------------------------------------- 1 | # To get started with Dependabot version updates, you'll need to specify which 2 | # package ecosystems to update and where the package manifests are located. 3 | # Please see the documentation for all configuration options: 4 | # https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates 5 | 6 | version: 2 7 | updates: 8 | - package-ecosystem: "maven" # See documentation for possible values 9 | directory: "/tools/deploy/module3" # Location of package manifests 10 | schedule: 11 | interval: "weekly" 12 | -------------------------------------------------------------------------------- /.github/workflows/module1-azure-function-workflow.yaml: -------------------------------------------------------------------------------- 1 | name: Deploy Azure Function App 2 | 3 | on: 4 | workflow_dispatch: 5 | push: 6 | branches: 7 | - main 8 | paths: 9 | - 'tools/deploy/module1/**' 10 | - '.github/workflows/module1-azure-function-workflow.yaml' 11 | 12 | env: 13 | AZURE_FUNCTIONAPP_PACKAGE_PATH: 'tools/deploy/module1/TransactionClassifier/' # set this to the path to your function app project, defaults to the repository root 14 | DOTNET_VERSION: '6.0.x' # set this to the dotnet version to use (e.g. '2.1.x', '3.1.x', '5.0.x') 15 | AZURE_RESOURCE_GROUP: ${{ secrets.AZURE_RESOURCE_GROUP }} 16 | 17 | permissions: 18 | id-token: write # This is required for requesting the JWT 19 | contents: read # This is required for actions/checkout 20 | 21 | jobs: 22 | build-and-deploy: 23 | runs-on: ubuntu-latest 24 | steps: 25 | - name: 'Checkout GitHub Action' 26 | uses: actions/checkout@main 27 | 28 | - name: 'Login via Azure CLI' 29 | uses: azure/login@v1 30 | with: 31 | client-id: ${{ secrets.AZURE_CLIENT_ID }} 32 | tenant-id: ${{ secrets.AZURE_TENANT_ID }} 33 | subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} 34 | 35 | - name: 'retrieve the Function App name' 36 | id: get_functionapp_name 37 | uses: azure/CLI@v1 38 | with: 39 | azcliversion: latest 40 | inlineScript: | 41 | echo "appName=$(az functionapp list --resource-group ${{ env.AZURE_RESOURCE_GROUP }} --query "[].name" -o tsv)" >> $GITHUB_OUTPUT 42 | 43 | - name: Setup DotNet ${{ env.DOTNET_VERSION }} Environment 44 | uses: actions/setup-dotnet@v3 45 | with: 46 | dotnet-version: ${{ env.DOTNET_VERSION }} 47 | 48 | - name: 'Resolve Project Dependencies Using Dotnet' 49 | shell: bash 50 | run: | 51 | pushd './${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}' 52 | dotnet build --configuration Release --output ./output 53 | popd 54 | 55 | - name: 'Run Azure Functions Action' 56 | uses: Azure/functions-action@v1 57 | id: fa 58 | with: 59 | # set app_name equal to output from "retrieve the Function App name" step 60 | app-name: ${{ steps.get_functionapp_name.outputs.appname }} 61 | package: '${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}/output' 62 | 63 | # For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples -------------------------------------------------------------------------------- /.github/workflows/module1-infra-workflow.yml: -------------------------------------------------------------------------------- 1 | name: Deploy Module 1 Infrastructure 2 | on: 3 | push: 4 | branches: 5 | - main 6 | paths: 7 | - 'tools/deploy/module1/**' 8 | - 'module1-infra-workflow.yaml' 9 | 10 | workflow_dispatch: 11 | env: 12 | AZURE_RESOURCE_GROUP: ${{ secrets.AZURE_RESOURCE_GROUP }} 13 | 14 | permissions: 15 | id-token: write # This is required for requesting the JWT 16 | contents: read # This is required for actions/checkout 17 | jobs: 18 | build-and-deploy: 19 | runs-on: ubuntu-latest 20 | steps: 21 | 22 | # Checkout code 23 | - uses: actions/checkout@main 24 | 25 | # Log into Azure 26 | - uses: azure/login@v1 27 | with: 28 | client-id: ${{ secrets.AZURE_CLIENT_ID }} 29 | tenant-id: ${{ secrets.AZURE_TENANT_ID }} 30 | subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} 31 | # creds: ${{ secrets.AZURE_CREDENTIALS }} 32 | 33 | # Deploy Bicep file 34 | - name: deploy 35 | uses: azure/arm-deploy@v1 36 | with: 37 | subscriptionId: ${{ secrets.AZURE_SUBSCRIPTION_ID }} 38 | resourceGroupName: ${{ secrets.AZURE_RESOURCE_GROUP }} 39 | template: tools/deploy/module1/infra/module1-infra.bicep 40 | # parameters: tools/deploy/module0/azuredeploy.parameters.json 41 | failOnStdErr: false 42 | 43 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | ## Ignore Visual Studio temporary files, build results, and 2 | ## files generated by popular Visual Studio add-ons. 3 | ## 4 | ## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore 5 | 6 | # User-specific files 7 | *.rsuser 8 | *.suo 9 | *.user 10 | *.userosscache 11 | *.sln.docstates 12 | 13 | # User-specific files (MonoDevelop/Xamarin Studio) 14 | *.userprefs 15 | 16 | # Mono auto generated files 17 | mono_crash.* 18 | 19 | # Build results 20 | [Dd]ebug/ 21 | [Dd]ebugPublic/ 22 | [Rr]elease/ 23 | [Rr]eleases/ 24 | x64/ 25 | x86/ 26 | [Aa][Rr][Mm]/ 27 | [Aa][Rr][Mm]64/ 28 | bld/ 29 | [Bb]in/ 30 | [Oo]bj/ 31 | [Ll]og/ 32 | [Ll]ogs/ 33 | 34 | # Visual Studio 2015/2017 cache/options directory 35 | .vs/ 36 | # Uncomment if you have tasks that create the project's static files in wwwroot 37 | #wwwroot/ 38 | 39 | # Visual Studio 2017 auto generated files 40 | Generated\ Files/ 41 | 42 | # MSTest test Results 43 | [Tt]est[Rr]esult*/ 44 | [Bb]uild[Ll]og.* 45 | 46 | # NUnit 47 | *.VisualState.xml 48 | TestResult.xml 49 | nunit-*.xml 50 | 51 | # Build Results of an ATL Project 52 | [Dd]ebugPS/ 53 | [Rr]eleasePS/ 54 | dlldata.c 55 | 56 | # Benchmark Results 57 | BenchmarkDotNet.Artifacts/ 58 | 59 | # .NET Core 60 | project.lock.json 61 | project.fragment.lock.json 62 | artifacts/ 63 | 64 | # StyleCop 65 | StyleCopReport.xml 66 | 67 | # Files built by Visual Studio 68 | *_i.c 69 | *_p.c 70 | *_h.h 71 | *.ilk 72 | *.meta 73 | *.obj 74 | *.iobj 75 | *.pch 76 | *.pdb 77 | *.ipdb 78 | *.pgc 79 | *.pgd 80 | *.rsp 81 | *.sbr 82 | *.tlb 83 | *.tli 84 | *.tlh 85 | *.tmp 86 | *.tmp_proj 87 | *_wpftmp.csproj 88 | *.log 89 | *.vspscc 90 | *.vssscc 91 | .builds 92 | *.pidb 93 | *.svclog 94 | *.scc 95 | 96 | # Chutzpah Test files 97 | _Chutzpah* 98 | 99 | # Visual C++ cache files 100 | ipch/ 101 | *.aps 102 | *.ncb 103 | *.opendb 104 | *.opensdf 105 | *.sdf 106 | *.cachefile 107 | *.VC.db 108 | *.VC.VC.opendb 109 | 110 | # Visual Studio profiler 111 | *.psess 112 | *.vsp 113 | *.vspx 114 | *.sap 115 | 116 | # Visual Studio Trace Files 117 | *.e2e 118 | 119 | # TFS 2012 Local Workspace 120 | $tf/ 121 | 122 | # Guidance Automation Toolkit 123 | *.gpState 124 | 125 | # ReSharper is a .NET coding add-in 126 | _ReSharper*/ 127 | *.[Rr]e[Ss]harper 128 | *.DotSettings.user 129 | 130 | # TeamCity is a build add-in 131 | _TeamCity* 132 | 133 | # DotCover is a Code Coverage Tool 134 | *.dotCover 135 | 136 | # AxoCover is a Code Coverage Tool 137 | .axoCover/* 138 | !.axoCover/settings.json 139 | 140 | # Visual Studio code coverage results 141 | *.coverage 142 | *.coveragexml 143 | 144 | # NCrunch 145 | _NCrunch_* 146 | .*crunch*.local.xml 147 | nCrunchTemp_* 148 | 149 | # MightyMoose 150 | *.mm.* 151 | AutoTest.Net/ 152 | 153 | # Web workbench (sass) 154 | .sass-cache/ 155 | 156 | # Installshield output folder 157 | [Ee]xpress/ 158 | 159 | # DocProject is a documentation generator add-in 160 | DocProject/buildhelp/ 161 | DocProject/Help/*.HxT 162 | DocProject/Help/*.HxC 163 | DocProject/Help/*.hhc 164 | DocProject/Help/*.hhk 165 | DocProject/Help/*.hhp 166 | DocProject/Help/Html2 167 | DocProject/Help/html 168 | 169 | # Click-Once directory 170 | publish/ 171 | 172 | # Publish Web Output 173 | *.[Pp]ublish.xml 174 | *.azurePubxml 175 | # Note: Comment the next line if you want to checkin your web deploy settings, 176 | # but database connection strings (with potential passwords) will be unencrypted 177 | *.pubxml 178 | *.publishproj 179 | 180 | # Microsoft Azure Web App publish settings. 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Backup files are not needed, 246 | # because we have git ;-) 247 | _UpgradeReport_Files/ 248 | Backup*/ 249 | UpgradeLog*.XML 250 | UpgradeLog*.htm 251 | ServiceFabricBackup/ 252 | *.rptproj.bak 253 | 254 | # SQL Server files 255 | *.mdf 256 | *.ldf 257 | *.ndf 258 | 259 | # Business Intelligence projects 260 | *.rdl.data 261 | *.bim.layout 262 | *.bim_*.settings 263 | *.rptproj.rsuser 264 | *- [Bb]ackup.rdl 265 | *- [Bb]ackup ([0-9]).rdl 266 | *- [Bb]ackup ([0-9][0-9]).rdl 267 | 268 | # Microsoft Fakes 269 | FakesAssemblies/ 270 | 271 | # GhostDoc plugin setting file 272 | *.GhostDoc.xml 273 | 274 | # Node.js Tools for Visual Studio 275 | .ntvs_analysis.dat 276 | node_modules/ 277 | 278 | # Visual Studio 6 build log 279 | *.plg 280 | 281 | # Visual Studio 6 workspace options file 282 | *.opt 283 | 284 | # Visual Studio 6 auto-generated workspace file (contains which files were open etc.) 285 | *.vbw 286 | 287 | # Visual Studio LightSwitch build output 288 | **/*.HTMLClient/GeneratedArtifacts 289 | **/*.DesktopClient/GeneratedArtifacts 290 | **/*.DesktopClient/ModelManifest.xml 291 | **/*.Server/GeneratedArtifacts 292 | **/*.Server/ModelManifest.xml 293 | _Pvt_Extensions 294 | 295 | # Paket dependency manager 296 | .paket/paket.exe 297 | paket-files/ 298 | 299 | # FAKE - F# Make 300 | .fake/ 301 | 302 | # CodeRush personal settings 303 | .cr/personal 304 | 305 | # Python Tools for Visual Studio (PTVS) 306 | __pycache__/ 307 | *.pyc 308 | 309 | # Cake - Uncomment if you are using it 310 | # tools/** 311 | # !tools/packages.config 312 | 313 | # Tabs Studio 314 | *.tss 315 | 316 | # Telerik's JustMock configuration file 317 | *.jmconfig 318 | 319 | # BizTalk build output 320 | *.btp.cs 321 | *.btm.cs 322 | *.odx.cs 323 | *.xsd.cs 324 | 325 | # OpenCover UI analysis results 326 | OpenCover/ 327 | 328 | # Azure Stream Analytics local run output 329 | ASALocalRun/ 330 | 331 | # MSBuild Binary and Structured Log 332 | *.binlog 333 | 334 | # NVidia Nsight GPU debugger configuration file 335 | *.nvuser 336 | 337 | # MFractors (Xamarin productivity tool) working folder 338 | .mfractor/ 339 | 340 | # Local History for Visual Studio 341 | .localhistory/ 342 | 343 | # BeatPulse healthcheck temp database 344 | healthchecksdb 345 | 346 | # Backup folder for Package Reference Convert tool in Visual Studio 2017 347 | MigrationBackup/ 348 | 349 | # Ionide (cross platform F# VS Code tools) working folder 350 | .ionide/ 351 | -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "azureFunctions.projectSubpath": "tools/deploy/module2/TransactionClassifier" 3 | } -------------------------------------------------------------------------------- /CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- 1 | # Microsoft Open Source Code of Conduct 2 | 3 | This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). 4 | 5 | Resources: 6 | 7 | - [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/) 8 | - [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) 9 | - Contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with questions or concerns 10 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) Microsoft Corporation. 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Azure OpenAI API Hands-on LevelUp Labs 2 | 3 | Welcome to the **Azure OpenAI API Hands-on LevelUp Labs** repository! This repository contains three hands-on labs that will help you build intelligent applications using Azure OpenAI API. 4 | 5 | ## Lab 1: Transaction Classification Application 6 | 7 | This lab demonstrates how to classify transaction records using OpenAI's GPT-3 language model and Azure Storage, Azure Event Grid, and Azure Function services. You will learn how to build an intelligent transaction classification app that can automatically categorize financial transactions. 8 | 9 | ## Lab 2: ChatGPT + Enterprise Data with OpenAI and Azure Cognitive Search 10 | This lab shows how to use Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo) and Azure Cognitive Search for data indexing and retrieval. You will learn how to build a chatbot that can answer questions using enterprise data. 11 | 12 | ## Lab 3: Book Creator Sample Learning App 13 | 14 | This lab demonstrates how to use the [semantic kernel](https://github.com/microsoft/semantic-kernel) framework to integrate OpenAI's Large Language Models (LLMs) with conventional programming languages. You will learn how to build an intelligent book creator app that can generate new content based on existing text. 15 | 16 | ## Getting Started 17 | 18 | To get started with these labs, please follow the instructions [here](https://ahmedbham.github.io/azure-openai-api-levelup/) 19 | 20 | ## Trademarks 21 | 22 | This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft 23 | trademarks or logos is subject to and must follow [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies. 24 | -------------------------------------------------------------------------------- /SECURITY.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | ## Security 4 | 5 | Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/). 6 | 7 | If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/opensource/security/definition), please report it to us as described below. 8 | 9 | ## Reporting Security Issues 10 | 11 | **Please do not report security vulnerabilities through public GitHub issues.** 12 | 13 | Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/opensource/security/create-report). 14 | 15 | If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/opensource/security/pgpkey). 16 | 17 | You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://aka.ms/opensource/security/msrc). 18 | 19 | Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue: 20 | 21 | * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.) 22 | * Full paths of source file(s) related to the manifestation of the issue 23 | * The location of the affected source code (tag/branch/commit or direct URL) 24 | * Any special configuration required to reproduce the issue 25 | * Step-by-step instructions to reproduce the issue 26 | * Proof-of-concept or exploit code (if possible) 27 | * Impact of the issue, including how an attacker might exploit the issue 28 | 29 | This information will help us triage your report more quickly. 30 | 31 | If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/opensource/security/bounty) page for more details about our active programs. 32 | 33 | ## Preferred Languages 34 | 35 | We prefer all communications to be in English. 36 | 37 | ## Policy 38 | 39 | Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/opensource/security/cvd). 40 | 41 | 42 | -------------------------------------------------------------------------------- /SUPPORT.md: -------------------------------------------------------------------------------- 1 | # TODO: The maintainer of this repo has not yet edited this file 2 | 3 | **REPO OWNER**: Do you want Customer Service & Support (CSS) support for this product/project? 4 | 5 | - **No CSS support:** Fill out this template with information about how to file issues and get help. 6 | - **Yes CSS support:** Fill out an intake form at [aka.ms/onboardsupport](https://aka.ms/onboardsupport). CSS will work with/help you to determine next steps. 7 | - **Not sure?** Fill out an intake as though the answer were "Yes". CSS will help you decide. 8 | 9 | *Then remove this first heading from this SUPPORT.MD file before publishing your repo.* 10 | 11 | # Support 12 | 13 | ## How to file issues and get help 14 | 15 | This project uses GitHub Issues to track bugs and feature requests. Please search the existing 16 | issues before filing new issues to avoid duplicates. For new issues, file your bug or 17 | feature request as a new Issue. 18 | 19 | For help and questions about using this project, please **REPO MAINTAINER: INSERT INSTRUCTIONS HERE 20 | FOR HOW TO ENGAGE REPO OWNERS OR COMMUNITY FOR HELP. COULD BE A STACK OVERFLOW TAG OR OTHER 21 | CHANNEL. WHERE WILL YOU HELP PEOPLE?**. 22 | 23 | ## Microsoft Support Policy 24 | 25 | Support for this **PROJECT or PRODUCT** is limited to the resources listed above. 26 | -------------------------------------------------------------------------------- /docs/.gitignore: -------------------------------------------------------------------------------- 1 | _site 2 | .sass-cache 3 | .jekyll-cache 4 | .jekyll-metadata 5 | vendor 6 | -------------------------------------------------------------------------------- /docs/404.html: -------------------------------------------------------------------------------- 1 | --- 2 | permalink: /404.html 3 | layout: default 4 | --- 5 | 6 | 19 | 20 |
21 |

404

22 | 23 |

Page not found :(

24 |

The requested page could not be found.

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26 | -------------------------------------------------------------------------------- /docs/Gemfile: -------------------------------------------------------------------------------- 1 | source 'https://rubygems.org' 2 | 3 | gem "jekyll", "~> 4.3" # installed by `gem jekyll` 4 | # gem "webrick" # required when using Ruby >= 3 and Jekyll <= 4.2.2 5 | 6 | gem "just-the-docs", "0.4.0.rc4" # currently the latest pre-release 7 | # gem "just-the-docs" # the latest release - currently 0.3.3 8 | -------------------------------------------------------------------------------- /docs/Gemfile.lock: -------------------------------------------------------------------------------- 1 | GEM 2 | remote: https://rubygems.org/ 3 | specs: 4 | addressable (2.8.1) 5 | public_suffix (>= 2.0.2, < 6.0) 6 | colorator (1.1.0) 7 | concurrent-ruby (1.1.10) 8 | em-websocket (0.5.3) 9 | eventmachine (>= 0.12.9) 10 | http_parser.rb (~> 0) 11 | eventmachine (1.2.7) 12 | ffi (1.15.5) 13 | forwardable-extended (2.6.0) 14 | http_parser.rb (0.8.0) 15 | i18n (1.12.0) 16 | concurrent-ruby (~> 1.0) 17 | jekyll (4.3.0) 18 | addressable (~> 2.4) 19 | colorator (~> 1.0) 20 | em-websocket (~> 0.5) 21 | i18n (~> 1.0) 22 | jekyll-sass-converter (>= 2.0, < 4.0) 23 | jekyll-watch (~> 2.0) 24 | kramdown (~> 2.3, >= 2.3.1) 25 | kramdown-parser-gfm (~> 1.0) 26 | liquid (~> 4.0) 27 | mercenary (>= 0.3.6, < 0.5) 28 | pathutil (~> 0.9) 29 | rouge (>= 3.0, < 5.0) 30 | safe_yaml (~> 1.0) 31 | terminal-table (>= 1.8, < 4.0) 32 | webrick (~> 1.7) 33 | jekyll-sass-converter (2.2.0) 34 | sassc (> 2.0.1, < 3.0) 35 | jekyll-seo-tag (2.8.0) 36 | jekyll (>= 3.8, < 5.0) 37 | jekyll-watch (2.2.1) 38 | listen (~> 3.0) 39 | just-the-docs (0.4.0.rc4) 40 | jekyll (>= 3.8.5) 41 | jekyll-seo-tag (>= 2.0) 42 | rake (>= 12.3.1) 43 | kramdown (2.4.0) 44 | rexml 45 | kramdown-parser-gfm (1.1.0) 46 | kramdown (~> 2.0) 47 | liquid (4.0.3) 48 | listen (3.7.1) 49 | rb-fsevent (~> 0.10, >= 0.10.3) 50 | rb-inotify (~> 0.9, >= 0.9.10) 51 | mercenary (0.4.0) 52 | pathutil (0.16.2) 53 | forwardable-extended (~> 2.6) 54 | public_suffix (5.0.0) 55 | rake (13.0.6) 56 | rb-fsevent (0.11.2) 57 | rb-inotify (0.10.1) 58 | ffi (~> 1.0) 59 | rexml (3.2.5) 60 | rouge (4.0.0) 61 | safe_yaml (1.0.5) 62 | sassc (2.4.0) 63 | ffi (~> 1.9) 64 | terminal-table (3.0.2) 65 | unicode-display_width (>= 1.1.1, < 3) 66 | unicode-display_width (2.3.0) 67 | webrick (1.7.0) 68 | 69 | PLATFORMS 70 | arm64-darwin-21 71 | x86_64-darwin-19 72 | x86_64-linux 73 | 74 | DEPENDENCIES 75 | jekyll (~> 4.3) 76 | just-the-docs (= 0.4.0.rc4) 77 | 78 | BUNDLED WITH 79 | 2.3.9 80 | 81 | -------------------------------------------------------------------------------- /docs/_config.yml: -------------------------------------------------------------------------------- 1 | # Welcome to Jekyll! 2 | # 3 | # This config file is meant for settings that affect your whole blog, values 4 | # which you are expected to set up once and rarely edit after that. 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If you look in the HTML files, 17 | # you will see them accessed via {{ site.title }}, {{ site.email }}, and so on. 18 | # You can create any custom variable you would like, and they will be accessible 19 | # in the templates via {{ site.myvariable }}. 20 | 21 | title: Azure OpenAI API Hands-on LevelUp Labs 22 | #email: your-email@example.com 23 | description: >- # this means to ignore newlines until "baseurl:" 24 | Hands-on Azure OpenAI API Hands-on LevelUp Labs! 25 | #baseurl: "" # the subpath of your site, e.g. /blog 26 | #url: "" # the base hostname & protocol for your site, e.g. http://example.com 27 | #twitter_username: jekyllrb 28 | #github_username: jekyll 29 | 30 | 31 | search_enabled: true 32 | color_scheme: "light" 33 | remote_theme: pmarsceill/just-the-docs 34 | search: 35 | # Split pages into sections that can be searched individually 36 | # Supports 1 - 6, default: 2 37 | heading_level: 2 38 | # Maximum amount of previews per search result 39 | # Default: 3 40 | previews: 3 41 | # Maximum amount of words to display before a matched word in the preview 42 | # Default: 5 43 | preview_words_before: 5 44 | # Maximum amount of words to display after a matched word in the preview 45 | # Default: 10 46 | preview_words_after: 10 47 | # Set the search token separator 48 | # Default: /[\s\-/]+/ 49 | # Example: enable support for hyphenated search words 50 | tokenizer_separator: /[\s/]+/ 51 | # Display the relative url in search results 52 | # Supports true (default) or false 53 | rel_url: true 54 | # Enable or disable the search button that appears in the bottom right corner of every page 55 | # Supports true or false (default) 56 | button: false 57 | # Exclude from processing. 58 | # The following items will not be processed, by default. 59 | # Any item listed under the `exclude:` key here will be automatically added to 60 | # the internal "default list". 61 | # 62 | # Excluded items can be processed by explicitly listing the directories or 63 | # their entries' file path in the `include:` list. 64 | # 65 | # exclude: 66 | # - .sass-cache/ 67 | # - .jekyll-cache/ 68 | # - gemfiles/ 69 | # - Gemfile 70 | # - Gemfile.lock 71 | # - node_modules/ 72 | # - vendor/bundle/ 73 | # - vendor/cache/ 74 | # - vendor/gems/ 75 | # - vendor/ruby/ 76 | # Footer content 77 | # appears at the bottom of every page's main content 78 | # Note: The footer_content option is deprecated and will be removed in a future major release. 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Default is false 107 | aux_links_new_tab: true 108 | -------------------------------------------------------------------------------- /docs/_posts/2022-03-15-welcome-to-jekyll.markdown: -------------------------------------------------------------------------------- 1 | --- 2 | layout: post 3 | title: "Welcome to Jekyll!" 4 | date: 2022-03-15 11:28:40 -0400 5 | categories: jekyll update 6 | --- 7 | You’ll find this post in your `_posts` directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run `jekyll serve`, which launches a web server and auto-regenerates your site when a file is updated. 8 | 9 | Jekyll requires blog post files to be named according to the following format: 10 | 11 | `YEAR-MONTH-DAY-title.MARKUP` 12 | 13 | Where `YEAR` is a four-digit number, `MONTH` and `DAY` are both two-digit numbers, and `MARKUP` is the file extension representing the format used in the file. After that, include the necessary front matter. Take a look at the source for this post to get an idea about how it works. 14 | 15 | Jekyll also offers powerful support for code snippets: 16 | 17 | {% highlight ruby %} 18 | def print_hi(name) 19 | puts "Hi, #{name}" 20 | end 21 | print_hi('Tom') 22 | #=> prints 'Hi, Tom' to STDOUT. 23 | {% endhighlight %} 24 | 25 | Check out the [Jekyll docs][jekyll-docs] for more info on how to get the most out of Jekyll. File all bugs/feature requests at [Jekyll’s GitHub repo][jekyll-gh]. 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-------------------------------------------------------------------------------- 1 | # Azure OpenAI API Hands-on LevelUp Labs 2 | 3 | Welcome to the **Azure OpenAI API Hands-on LevelUp Labs** repository! This repository contains three hands-on labs that will help you build intelligent applications using Azure OpenAI API. 4 | 5 | ## Lab 1: Transaction Classification Application 6 | 7 | This lab demonstrates how to classify transaction records using OpenAI's GPT-3 language model and Azure Storage, Azure Event Grid, and Azure Function services. You will learn how to build an intelligent transaction classification app that can automatically categorize financial transactions. 8 | 9 | ## Lab 2: ChatGPT + Enterprise Data with OpenAI and Azure Cognitive Search 10 | This lab shows how to use Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo) and Azure Cognitive Search for data indexing and retrieval. You will learn how to build a chatbot that can answer questions using enterprise data. 11 | 12 | ## Lab 3: Book Creator Sample Learning App 13 | 14 | This lab demonstrates how to use the [semantic kernel](https://github.com/microsoft/semantic-kernel) framework to integrate OpenAI's Large Language Models (LLMs) with conventional programming languages. You will learn how to build an intelligent book creator app that can generate new content based on existing text. 15 | 16 | ## Getting Started 17 | 18 | To get started with these labs, you will need to have an Azure OpenAI API key and access to Azure services. Please follow the instructions in [pre-req](./modules/Module0/prereq.md) file to set up the necessary environment and dependencies 19 | 20 | 21 | ## Contributors 22 | 23 | 30 | 31 | ## Trademarks 32 | 33 | This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft 34 | trademarks or logos is subject to and must follow [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies. 35 | -------------------------------------------------------------------------------- /docs/modules/Module0/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Module 0 - Introduction and Pre-requisites 3 | 4 | has_children: true 5 | 6 | --- 7 | 8 | 9 | ## Module 0 - Introduction and Pre-requisites 10 | -------------------------------------------------------------------------------- /docs/modules/Module0/intro.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Introduction 3 | parent: Module 0 - Introduction and Pre-requisites 4 | has_children: false 5 | nav_order: 1 6 | --- 7 | 8 | **What is Azure OpenAI Service?** 9 | 10 | Azure OpenAI Service is a cloud-based service that provides access to 11 | the OpenAI API. You can use the OpenAI API to perform the following 12 | tasks: 13 | 14 | - Language Understanding 15 | 16 | - Text Summarization 17 | 18 | - Semantic Search 19 | 20 | - Conversation AI 21 | 22 | - Code Generation 23 | 24 | OpenAI is a powerful Language Generative model that predicts the next 25 | token to generate text output based on the input instruction from the 26 | user. Azure OpenAI is the model pretrained and hosted in Azure for 27 | easier deployment for the customer projects. 28 | 29 | To learn more about Azure OpenAI Service, you can: 30 | 31 | - Check out the [Azure OpenAI Service 32 | documentation](https://docs.microsoft.com/en-us/azure/openai/). 33 | 34 | ## Concepts: 35 | The user 'Prompt' gives text instructions with the appropriate context. 36 | The more detailed it is with possible examples, it would help the model 37 | to arrive to the right context and generate the result set 'Completion' 38 | that is presented to the user. 39 | 40 | You can train the model with one or few-shot examples or with 41 | interactions. The model can be fine-tuned with a few parameters to 42 | customize it to the specific need. The model can be tuned to be 43 | deterministic/probabilistic or instructed to continue with the results 44 | based on these set parameter values. 45 | 46 | ## Azure OpenAI Service Models: 47 | 48 | - GPT-3 is the first offering with the 4 models Ada, Babbage, Curie 49 | and Davinci with the increasing inferencing capabilities, but would 50 | consume more time for presenting the results. The GPT Codex models 51 | supports Co-pilot. 52 | 53 | - GPT-35-Turbo is the ChatGPT model option with improved accuracy for 54 | a conversational model. 55 | 56 | - GPT-4 is the preview version that allows for a larger token size 57 | prompts and has security built-in. You can request using this 58 | [Access Request 59 | Form](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xURjE4QlhVUERGQ1NXOTlNT0w1NldTWjJCMSQlQCN0PWcu) 60 | 61 | ## Applications and Use cases: 62 | 63 | The language generation from the GPT is based on the semantics of the 64 | Prompt that help it to the inference Completion in the below scenarios 65 | with some examples: 66 | 67 | - Writing Assistance: 68 | 69 | - Government agency using Azure OpenAI Service to extract and 70 | summarize key information from their extensive library of rural 71 | development reports. 72 | 73 | - Financial services using Azure OpenAI Service to summarize 74 | financial reporting for peer risk analysis and customer 75 | conversation summarization. 76 | 77 | - Code Generation: 78 | 79 | - Aircraft company using to convert natural language to SQL for 80 | aircraft telemetry data. 81 | 82 | - Consulting service using Azure OpenAI Service to convert natural 83 | language to query propriety data models. 84 | 85 | - Reasoning over data 86 | 87 | - Financial services firm using Azure OpenAI Service to improve 88 | search capabilities and the conversational quality of a 89 | customer's Bot experience. 90 | 91 | - Insurance companies extract information from volumes of 92 | unstructured data to automate claim handling processes. 93 | 94 | - Summarization: 95 | 96 | - International insurance company using Azure OpenAI Service to 97 | provide summaries of call center customer support 98 | conversation-logs. 99 | 100 | - Global bank uses Azure OpenAI Service to summarize financial 101 | reporting and analyst articles . 102 | 103 | ## Prompt Engineering: 104 | 105 | The model is only as effective as the Prompts sent as input. And this 106 | also trains the models to arrive to a customized model with appropriate 107 | inference context. Here are a few techniques that can support a better 108 | model performance: 109 | 110 | 1. Structure the input to instruct the model in a step-by-step process 111 | to make it understand the question and suggest it arrive to the 112 | inference. 113 | 114 | 2. Prompt Chaining helps to elicit more reliable answers and fine tune 115 | it with thousands of Prompts to fine tune it. 116 | 117 | 3. The models are limited by the Prompt token size for the deployment 118 | type chosen. Long text beyond the token limit is broken into Chunks 119 | and processed. 120 | 121 | 4. Leverage One-Shot/Few-Shot reasoning to be specific about what is 122 | the expected result set. The model can learn using these scenarios 123 | presented in the Prompt, and you are explicitly telling the mode how 124 | to think by prompting how it should reason for the similar problem. 125 | 126 | 5. This technique called Chain-of-Thought, is a super powerful 127 | technique, not only can it be used to provide model explainability 128 | (where sometimes GPT-3 is seen as a blackbox) but it can help the 129 | model reason and arrive at a desired output by simply just telling 130 | the model to think step by step. 131 | 132 | 6. One interesting trick is to have the model decompose the task into 133 | smaller tasks and figure it out on its own. This allows the model to 134 | reason along the way and can lead to much better results. The 135 | technique is called selection-inference prompting. 136 | 137 | ## Responsible AI (RAI): 138 | 139 | The AI models designed for a specific purpose needs to be perceived to 140 | be safe, trustworthy, and ethical. Responsible AI can help proactively 141 | guide these decisions toward more beneficial and equitable outcomes. 142 | 143 | - Ensure the model is compliant to the principles of RAI at different 144 | layers of the model deployed with appropriate checks and assessments 145 | at Fine Tuning , at Prompts to generated results , monitoring the 146 | response and the product performance against the expected promises. 147 | 148 | - Content Filtering, Feedback channel, Transparency in the product are 149 | a few ways to ensure application is Fair , Reliable , Transparent 150 | and Secure. 151 | 152 | ## How do I get started with building applications using Azure OpenAI Service? 153 | 154 | The best way to get started with building applications using Azure 155 | OpenAI Service is to follow the tutorials in this repository. 156 | -------------------------------------------------------------------------------- /docs/modules/Module0/prereq.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Pre-requisites 3 | parent: Module 0 - Introduction and Pre-requisites 4 | has_children: false 5 | nav_order: 2 6 | --- 7 | 8 | ## What are the pre-requisites for this workshop? 9 | 10 | * Azure Subscription (if you don't have one, you can create a free account [here](https://azure.microsoft.com/en-us/free/)) 11 | * Azure CLI (if you don't have one, you can install it [here](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli)) 12 | * Github Account (if you don't have one, you can create one [here](https://github.com) 13 | * Github Codespaces - Github Codespaces is a feature of Github that allows you to develop in a cloud-hosted, container-based development environment. To learn more about Github Codespaces, you can check out the [documentation](https://docs.github.com/en/codespaces). 14 | * Azure OpenAI API resource and deployment of `text-davinci-003` model (see instructions for setting these up [here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal)) 15 | 16 | ## How do I get started with the workshop? 17 | 18 | To get started with the workshop, we will perform the following tasks: 19 | 20 | 1. Forking this repository into your GitHub account 21 | 1. Creating Github Codespace on the forked repository 22 | 23 | ### Forking this repository into your GitHub account 24 | 25 | * Fork this [repository](https://github.com/ahmedbham/azure-openai-api-levelup) into your GitHub account by clicking on the "Fork" button at the top right of its page. 26 | 27 | ### Creating Github Codespaces on the forked repository 28 | 29 | * Open your forked Github repository in Github and click on the `Code` tab. 30 | * Click on the `Open with Codespaces` button 31 | -------------------------------------------------------------------------------- /docs/modules/Module1/Lab-1.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Lab 3 | parent: Module 1 - Transaction Classification Application 4 | has_children: false 5 | nav_order: 2 6 | --- 7 | 8 | # Module 1: Lab - Transaction Classification Application 9 | 10 | In this lab, you will create a transaction classification application that uses the Azure OpenAI API and other Azure services to classify a public dataset of transactions into a number of categories that we have predefined. These approaches should be replicable to any multiclass classificaiton use case where we are trying to fit transactional data into predefined categories, and by the end of running through this you should have an approach for dealing with unlabelled datasets. 11 | 12 | For this workshop, we will be using GitHub Actions using OpenID Connect and Infrastructure-as-Code (IaC) using Bicep, to derive following benefits: 13 | 14 | * Infrastructure-as-Code (IaC) - Infrastructure is defined as code, and can be version controlled and reviewed. 15 | * OpenID Connect - OpenID Connect is an authentication protocol that allows you to connect securely to Azure resources using your GitHub account. 16 | * GitHub Actions - GitHub Actions is a feature of GitHub that allows you to automate your software development workflows. 17 | 18 | ## Steps for Deploying the infrastructure 19 | 20 | 1. Creating an Azure Resource Group 21 | 1. Creating Azure OpenAI API resource and deployment of `text-davinci-003` model 22 | 1. Configuring OpenID Connect in Azure. 23 | 1. Setting Github Actions secrets 24 | 1. Enabling the GitHub Actions workflow 25 | 1. Creation of Azure Storage Account and Azure Function App 26 | 1. Deploying the Azure Function App code 27 | 1. Creating and configuring Event Grid Subscription 28 | 29 | ### Creating an Azure Resource Group 30 | 31 | ```bash 32 | az login 33 | ``` 34 | 35 | > [!NOTE] 36 | > if you are using a non-Microsoft account (e.g. FDPO account), and if are running CodeSpaces in the browser, you may receive an error with message `localhost refused to connect` after logging in. 37 | > ![localhost refused to connect](../../assets/images/module1/screenshot-localhost.png) 38 | > If so: 39 | > 40 | > 1. Copy the URL. 41 | > 1. Run `curl ''` (URL in quotes) in a new Visual Studio Code terminal. 42 | > 43 | > ![curl localhost](../../assets/images/module1/curl-localhost.png) 44 | > 1. In the original terminal, the login should now succeed. 45 | 46 | Set appropriate Subscription Id 47 | 48 | ```bash 49 | az account set -s 50 | ``` 51 | 52 | Ensure correct Subscription Id is set 53 | 54 | ```bash 55 | az account show 56 | ``` 57 | 58 | Register the following providers 59 | 60 | ```bash 61 | az provider register --namespace Microsoft.Storage --wait 62 | az provider register --namespace Microsoft.Web --wait 63 | az provider register --namespace Microsoft.EventGrid --wait 64 | ``` 65 | 66 | Create Azure Resource Group 67 | 68 | ```bash 69 | export resourceGroupName="openai-levelup-rg" 70 | export location="eastus" 71 | az group create --name $resourceGroupName --location $location 72 | ``` 73 | 74 | ### Creating Azure OpenAI API resource and deployment of `text-davinci-003` model 75 | 76 | If you have not already created an Azure OpenAI API resource and deployed the `text-davinci-003` model, you can follow the instructions [here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal) to do so. 77 | 78 | ### Configuring OpenID Connect in Azure 79 | 80 | Execute `chmod` command on [aad-federated-cred.sh](../../../tools/deploy/module0/aad-federated-cred.sh) script to make it executable: 81 | 82 | ```bash 83 | chmod +x ./tools/deploy/module0/aad-federated-cred.sh 84 | ``` 85 | 86 | * execute [aad-federated-cred.sh](../../../tools/deploy/module0/aad-federated-cred.sh), passing your github username as the argument, as shown below: 87 | 88 | ```bash 89 | ./tools/deploy/module0/aad-federated-cred.sh 90 | ``` 91 | 92 | * note down the **appId** echoed for use in next step 93 | 94 | ### Setting Github Actions secrets 95 | 96 | 1. In your forked Github repository, click on the `Settings` tab. 97 | 2. In the left-hand menu, expand `Secrets and variables`, and click on `Actions`. 98 | 3. Click on the `New repository secret` button for each of the following secrets: 99 | * `AZURE_SUBSCRIPTION_ID`(run `az account show --query id -o tsv` to get the value) 100 | * `AZURE_TENANT_ID` (run `az account show --query tenantId --output tsv` to get the value) 101 | * `AZURE_CLIENT_ID` (this is the `appId` from running the previous step) 102 | * `AZURE_RESOURCE_GROUP` (this is the `resourceGroupName` from earlier step, which is `openai-levelup-rg`) 103 | 104 | ### Enable GitHub Actions workflow 105 | 106 | * Enable **GitHub Actions** for your repository by clicking on the **Actions** tab, and clicking on the `I understand my workflows, go ahead and enable them` button. 107 | 108 | ### Creation of Azure Storage Account and Azure Function App 109 | 110 | * This is achieved by running the Github Actions workflow file [module1-infra-worflow.yaml](../../../.github/workflows/module1-infra-workflow.yaml) which executes [module2-infra.bicep](../../../tools/deploy/Module1/infra/module1-infra.bicep) Bicep template. To trigger this workflow manually: 111 | 1. click on the `Actions` tab. 112 | 2. Select `Deploy Module 1 Infrastructure` workflow. 113 | 3. Click on the `Run workflow` button 114 | 115 | ### Deploying the Azure Function App code 116 | 117 | * Deploy the Azure Function App code using Github Actions workflow file [module2-code-workflow.yaml](../../../.github/workflows/module1-code-workflow.yaml) as follows: 118 | 1. Click on the `Actions` tab. 119 | 2. Select `Deploy Azure Function App` workflow. 120 | 3. Click on the `Run workflow` button 121 | 122 | * Configure following **Application Settings** for the Azure Function by going to your `function app > Configuration > Application Settings`: 123 | 1. OPENAI_API_BASE - Azure OpenAI API Endpoint URL (e.g. https://openai-demo-ahmedbham.openai.azure.com/) 124 | 2. OPENAI_API_KEY - Azure OpenAI API Key 125 | 3. OPENAI_API_MODEL - "text-davinci-003" (set it equal to the `model name` you provided when deploying the `text-davinci-003` **model** in Azure OpenAI Studio) 126 | **Remember to click Save after adding the above settings** 127 | 128 | ### Creating and configuring Event Grid Subscription 129 | 130 | * Create an `Event Grid Subscription` to the Azure Function App Resource from the Azure Storage Account for "Blob Created" events in Azure portal: 131 | 1. Navigate to your `storage account > Events > + Event Subscription` 132 | 2. Set `Event Schema` to `Event Grid Schema`` 133 | 3. Set `System Topic Name` to `classification` 134 | 4. Select only `Blob Created` event type 135 | 5. Select`Function App` as the `Endpoint Type` 136 | 6. Set `Endpoint`value by selecting the correct `Subscription`, `Resource Group`, `Function App`, `Slot`, and `Function` from the dropdowns 137 | 7. Click `Create` to create the subscription 138 | 139 | ![Event Grid Subscription Page](../../assets/images/module1/module1-create-event-subscription.png) 140 | 141 | ## Testing Transaction Classification App 142 | 143 | * Open the sample transaction file [25000_spend_dataset_current_25.csv](../../../tools/deploy/module1/data/25000_spend_dataset_current_25.csv) and notice that the **classification** column is empty. This is the column that will be populated by the Azure Function by calling Azure OpenAI API. 144 | * Upload this file to the **classification** blob container: `portal > storage account > containers > classification > upload` 145 | * After few seconds, download the updated file from the **output** blob container `portal > storage account > containers > output > download` 146 | * Open the file and notice the **classification** column is populated with the predicted category for each transaction. 147 | 148 | ## Delete Resources 149 | 150 | * Delete all resources created in this lab by deleting the resource group that was created in the first step of this lab. 151 | 152 | ```bash 153 | az group delete --name --yes 154 | ``` 155 | -------------------------------------------------------------------------------- /docs/modules/Module1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Module 1 - Transaction Classification Application 3 | 4 | has_children: true 5 | 6 | --- 7 | 8 | ## Module 1 - Transaction Classification Application 9 | 10 | -------------------------------------------------------------------------------- /docs/modules/Module1/intro.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview 3 | parent: Module 1 - Transaction Classification Application 4 | has_children: false 5 | nav_order: 1 6 | --- 7 | 8 | ## Module 1 - Transaction Classification Application 9 | 10 | This is a tutorial project that demonstrates how to integrate Azure OpenAI API with Azure services to build intelligent applications. Specifically, it shows how to classify transaction records using OpenAI's GPT-3 language model and Azure Storage, Azure Event Grid and Azure Function services. 11 | 12 | The intent is to classify a public dataset of transactions into a number of categories that we have predefined. These approaches should be replicable to any multiclass classificaiton use case where we are trying to fit transactional data into predefined categories, and by the end of running through this you should have an approach for dealing with unlabelled datasets. 13 | 14 | ## Diagram 15 | 16 | ![Transaction Classification Application Architecture](../../assets/images/module1/transaction-classification-application-architecture.png) 17 | 18 | ## Azure Function Logic 19 | 20 | The Azure Function logic is implemented in [TransactionClassifier.cs](../../../tools/deploy/module1/TransactionClassifier/TransactionClassifier.cs) file. The logic is as follows: 21 | 22 | ### Prompt Engineering 23 | 24 | A prompt is a string of text that is used to guide the language model to generate a response. In this case, we are using the following prompt to guide the language model to classify the transaction records: 25 | 26 | ```csharp 27 | "You are a data expert working for the National Library of Scotland. 28 | You are analysing all transactions over �25,000 in value and classifying them into one of five categories. 29 | The five categories are Building Improvement, Literature & Archive, Utility Bills, Professional Services and Software/IT. 30 | If you can't tell what it is, say Could not classify 31 | 32 | Transaction: 33 | 34 | Supplier: SUPPLIER_NAME 35 | Description: DESCRIPTION_TEXT 36 | Value: TRANSACTION_VALUE 37 | 38 | The classification is:" 39 | ``` 40 | 41 | When the function is triggered when a csv file is uploaded to the blob storage, it will replace the `SUPPLIER_NAME`, `DESCRIPTION_TEXT` and `TRANSACTION_VALUE` placeholders with the actual values from the transaction records in that file. 42 | 43 | ### Classifying Transactions 44 | 45 | The function will then call the Azure OpenAI API to classify the transaction record. The function will then parse the response from the API and extract the classification. Finally, the function will update the transaction record in an output csv file, and upload it to a blob container. 46 | 47 | -------------------------------------------------------------------------------- /docs/modules/Module2/Lab-2.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Lab 3 | parent: Module 2 - Azure OpenAI and Cognitive Search 4 | has_children: false 5 | nav_order: 2 6 | --- 7 | 8 | ## Installation 9 | 10 | ### Preferred CLI Environment for this lab 11 | 12 | It's easiest to run the lab instructions using [Azure Cloud Shell](https://shell.azure.com). 13 | 14 | ### Project Initialization 15 | 16 | 1. Create a new folder `lab2` and switch to it in the terminal 17 | 18 | ```bash 19 | mkdir lab2 20 | cd lab2 21 | ``` 22 | 23 | 1. Run the following command: 24 | 25 | ```bash 26 | your_tenant_id=$(az account show --query tenantId -o tsv) 27 | azd auth login --use-device-code=false --tenant-id $your_tenant_id 28 | ``` 29 | 30 | > **NOTE** 31 | > 32 | > You may receive an error with message `localhost refused to connect` after logging in. If so: 33 | > 34 | > 1. Copy the URL. 35 | > 1. Open a new Cloud Shell or CodeSpaces terminal 36 | > 1. Run `curl ''` (URL in quotes) in the new terminal. 37 | > 38 | > Return to the original CodeSpaces or Cloud Shell terminal; the login should now succeed. 39 | 40 | 1. Run the following command: 41 | 42 | ```bash 43 | yourSubscriptionID=$(az account show --query id -o tsv) 44 | azd config set defaults.subscription $yourSubscriptionID 45 | ``` 46 | 47 | 1. Run the following command: 48 | 49 | ```bash 50 | azd init -t azure-search-openai-demo 51 | ``` 52 | 53 | * For the target location, the regions that currently support the models used in this sample are **East US** or **South Central US**. For an up-to-date list of regions and models, check [here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/concepts/models) 54 | * when prompted with `? Please enter a new environment name:`, enter `dev` 55 | 56 | > **NOTE** 57 | > 58 | > If you would like re-use your existing Azure OpenAI service resource: 59 | > 60 | > Run `azd env set AZURE_OPENAI_SERVICE {Name of existing Azure OpenAI service}` 61 | > 62 | 63 | 1. Execute the following command: 64 | 65 | ```bash 66 | azd up 67 | ``` 68 | 69 | * This will provision Azure resources and deploy this sample to those resources, including building the search index based on the files found in the ./data folder. 70 | * After the application has been successfully deployed you will see a URL printed to the console. Click that URL to interact with the application in your browser. 71 | 72 | * It will look like the following: 73 | ![Endpoint](../../assets/images/module2/endpoint.png) 74 | 75 | > NOTE: It may take a minute for the application to be fully deployed. If you see a "Python Developer" welcome screen, then wait a minute and refresh the page. 76 | 77 | Once in the web app: 78 | 79 | * Try different topics in chat or Q&A context. For chat, try follow up questions, clarifications, ask to simplify or elaborate on answer, etc. 80 | * Explore citations and sources 81 | * Click on "settings" to try different options, tweak prompts, etc. 82 | -------------------------------------------------------------------------------- /docs/modules/Module2/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Module 2 - Azure OpenAI and Cognitive Search 3 | 4 | has_children: true 5 | 6 | --- 7 | 8 | ## Module 2 - Azure OpenAI and Cognitive Search 9 | 10 | -------------------------------------------------------------------------------- /docs/modules/Module2/intro.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview 3 | parent: Module 2 - Azure OpenAI and Cognitive Search 4 | has_children: false 5 | nav_order: 1 6 | --- 7 | 8 | # Azure OpenAI and Cognitive Search 9 | 10 | This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure Cognitive Search for data indexing and retrieval. 11 | 12 | In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles. 13 | 14 | ![RAG Architecture](../../assets/images/module2/appcomponents.png) 15 | 16 | ## Features 17 | 18 | * Chat and Q&A interfaces 19 | * Explores various options to help users evaluate the trustworthiness of responses with citations, tracking of source content, etc. 20 | * Shows possible approaches for data preparation, prompt construction, and orchestration of interaction between model (ChatGPT) and retriever (Cognitive Search) 21 | * Settings directly in the UX to tweak the behavior and experiment with options 22 | 23 | ![Chat screen](../../assets/images/module2/chatscreen.png) 24 | 25 | ## Workflow 26 | 27 | In this exercise, we deploy following resources in a single resource group. 28 | 29 | ![resource group screen](../../assets/images/module2/cog_resources.png) 30 | 31 | ## How this works 32 | 33 | The application has mainly three parts: 34 | 35 | 1. Prep-docs 36 | 2. Front-end 37 | 3. Back-end 38 | 39 | ### Prep-docs 40 | 41 | As part of the deployment, we will upload the documents in the `/data` folder to the storage account and split the documents into individual pages. Basically, in the prep-doc step, we will process the PDF files, extract text and tables, split the content into sections (1000 characters), and upload the sections to an Azure search index for searching and retrieval. 42 | 43 | ### Front-end 44 | 45 | Node.js and TypeScript are the main tools used for building the frontend web application. The main methods being used in the frontend application to communicate with a backend API for question-asking and chat-like conversations are: 46 | 47 | - `askApi`: Takes an AskRequest object, sends a POST request to the `/ask` endpoint, and returns an AskResponse object. It throws an error if the response is not OK. 48 | - `chatApi`: Takes a ChatRequest object, sends a POST request to the `/chat` endpoint, and returns an AskResponse object. It throws an error if the response is not OK. 49 | - `getCitationFilePath`: Takes a citation string and returns the file path by concatenating `/content/` with the citation. 50 | 51 | ### Back-end 52 | 53 | The back-end is a python flask application that hosts the `/ask` and `/chat` endpoints. The back-end establishes a connection to the Azure OpenAI resource to send a question to an OpenAI agent and retrieve the answer. The major functionalities discussed in this exercise are chat features and question-answer features. For the QA and chat, the following approaches are experimented within this Lab: 54 | #### Ask Approaches: 55 | > Note, most applications will use a single one of these patterns or some derivative. Several were included in this exercise to allow exploration of the different approaches. 56 | 57 | * **_ReadDecomposeAsk_** - This approach breaks down a given question into smaller tasks and searches for relevant information to answer the question. It uses a series of search and lookup actions, along with an AI agent, to find the answer. The agent iteratively refines the search, examines the search results, and performs lookups as needed. It uses the ReAct agent to perform these actions. 58 | 59 | * **_ReadRetrieveReadApproach_** - This approach first reads the question and then retrieves relevant documents from a document store. After that, the AI agent reads these documents to find the answer. This approach is particularly suitable when there's a need to search through large document collections and extract relevant information to answer the question. 60 | 61 | * **_RetrieveThenReadApproach_** - This approach retrieves relevant documents first, then reads the documents to answer the question. Unlike the ReadRetrieveReadApproach, which reads the question first, this approach starts with retrieval, followed by reading the retrieved documents to find the answer. This can be useful when the retrieval process is more important or computationally expensive than understanding the question. 62 | 63 | These three approaches work together by providing different ways to tackle question-answering tasks based on the specific requirements of the task or the dataset being used. While they follow different methodologies, they all focus on retrieving relevant information and using OpenAI agents to process that information to generate a suitable answer. In this lab, you could choose the most appropriate approach for a specific question or dataset to improve the overall performance and efficiency of the question-answering system in the developer settings. 64 | 65 | #### Chat Approaches: 66 | * **_ChatReadRetrieveRead_** - This is an implementation of an information retrieval and question-answering approach using Azure Cognitive Search and the OpenAI API. The class has a specific structure and methods to perform the following steps: 67 | 68 | 1. Generate an optimized keyword search query based on the chat history and the last question asked by the user. 69 | 2. Retrieve relevant documents from the search index using the generated query. 70 | 3. Generate a contextual and content-specific answer using the search results and chat history. 71 | 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /docs/modules/Module3/bookcreatorflow.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Book Creator detailed flow 3 | parent: Module 3 - Semantic Kernel 4 | has_children: false 5 | nav_order: 3 6 | --- 7 | 8 | ## Module 3: Book Creator application detailed flow 9 | 10 | The following diagrams illustrates how skills/functions are defined and the interactions of the Book creator Client app and the Semantic Kernel API service exposed via the dotnet http endpoint. 11 | 12 | ### How are semantic skills defined? 13 | 14 | ![Semantic Kernel Use cases](../../assets/images/module3/semantic-function.png) 15 | 16 | ### Sequence diagram - Book creator -> SK Service 17 | 18 | The Semantic Kernel function API exposes 3 POST endpoints 19 | 20 | - /skills/{skillName}/invoke/{functionName} 21 | - /planner/createPlan 22 | - /planner/execute/{maxSteps} 23 | 24 | ![Semantic Kernel Use cases](../../assets/images/module3/book-creator-sequence.png) 25 | 26 | 1. The childrensBookSkill is a predefined skill that with a templated prompt that can be found in the samples/skills folder, a skill may have one to many sub-skills or functions. 27 | 2. The planner skill is also a specialized skill that can leverage additional skills, embeddings and connectors. 28 | 3. The planner execute API uses the templated values of the previous steps from the planner to fulfill the user's Ask. 29 | -------------------------------------------------------------------------------- /docs/modules/Module3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Module 3 - Semantic Kernel 3 | 4 | has_children: true 5 | 6 | --- 7 | 8 | 9 | ## Module 3 - Semantic Kernel 10 | 11 | -------------------------------------------------------------------------------- /docs/modules/Module3/intro.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview 3 | parent: Module 3 - Semantic Kernel 4 | has_children: false 5 | nav_order: 1 6 | --- 7 | 8 | ## Module 3 - Semantic Kernel 9 | 10 | ## What is Semantic Kernel? 11 | 12 | Semantic Kernel (SK) is an Open source, Lightweight SDK that allows you to easily integrate Large Language Models (LLMs) like ChatGPT into your application. 13 | 14 | Semantic Kernel provides the developer with controls over AI LLM constructs such as prompts, embeddings and allows you to provide rich context to your application specific use cases that you would otherwise not have by just using OpenAI/Azure OpenAI APIs. 15 | 16 | ## Why is Semantic Kernel needed? 17 | 18 | ![Semantic Kernel Need](../../assets/images/module3/sk-why.png) 19 | 20 | ## Semantic Kernel - Use Cases 21 | 22 | ![Semantic Kernel Use cases](../../assets/images/module3/sk-use-cases.png) 23 | 24 | ## Semantic Kernel - Pipeline 25 | 26 | ![Semantic Kernel Use cases](../../assets/images/module3/sk-pipeline.png) 27 | 28 | 29 | ## Semantic Kernel - building blocks 30 | 31 | - Planner - The planner is responsible for fulfilling a specific user ASK, the planner has access to a pre-defined library of pre-made skills and can also call upon memories to best situate the ASK's context and connectors to call APIs and to leverage other external capabilities if needed. 32 | 33 | - Memories – Also referred to as Embeddings and provides ability to provide specific context to an ASK or Prompt. 34 | 35 | - Skills – Domain expertise exposed as a function, an ASK may use one or many skills/functions to accomplish a goal. 36 | 37 | - Connectors – Ability to integrate with external, realtime APIs to enrich the response or perform an action. 38 | 39 | 40 | 41 | -------------------------------------------------------------------------------- /docs/modules/Module3/lab-module3.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Lab 3 | parent: Module 3 - Semantic Kernel 4 | has_children: false 5 | nav_order: 2 6 | --- 7 | 8 | ## Module 3: Lab - Book Creator application 9 | 10 | The Book creator sample application shows how SK uses `planner`, `skills` and `memories` are to create a children's book. The `Planner` creates a plan for the skills (functions) that are pre-defined for generating a book topic and creating a book. The `Writer` pre-defined skills are chained together based on the user ask to create the book. 11 | 12 | Requirements: 13 | 14 | - You will need an Open AI API Key or Azure Open AI service key to get started. 15 | - [Azure Functions Core Tools]([https://learn.microsoft.com/en-us/azure/azure-functions/functions-run-local?tabs=v4%2Cwindows%2Ccsharp%2Cportal%2Cbash) are required to run the kernel as a local web service, this service is used by the sample web app. 16 | - [.NET 6](https://dotnet.microsoft.com/en-us/download/dotnet/6.0). If you have .NET 7 installed, Azure Function Tools will still require .NET 6, so we suggest installing both. 17 | - [Yarn](https://yarnpkg.com/getting-started/install) is used for installing web apps' dependencies. 18 | 19 | 20 | ## Running the Book Creator sample app 21 | 22 | **Note**: to run the sample in VS Code Desktop using Dev Containers from Github Codespaces: 23 | Click hamburger menu on the left side of the VS Code window in Codespaces and select **Open in VS Code Desktop** 24 | 25 | 1. Clone the `semantic kernel` repo 26 | 27 | ```bash 28 | git clone https://github.com/microsoft/semantic-kernel.git 29 | ``` 30 | 31 | 2. Start the `KernelHttpServer`. This is the backend API server used by the front end React app and is the intermediary between the front end client application and AzureOpenAI 32 | 33 | ```bash 34 | cd semantic-kernel/samples/dotnet/KernelHttpServer 35 | ``` 36 | 37 | 3. **Run** 38 | 39 | ```bash 40 | func start --csharp 41 | ``` 42 | 43 | This will run the service API locally at `http://localhost:7071`. 44 | 45 | 46 | `cd semantic-kernel/samples/dotnet/KernelHttpServer` 47 | 48 | 4. In another terminal window, start the `BookCreator` web application 49 | 50 | ```bash 51 | cd semantic-kernel/samples/apps/book-creator-webapp-react/ 52 | ``` 53 | 54 | 5. Rename the `semantic-kernel/samples/apps/book-creator-webapp-react/.env.example` file to `semantic-kernel/samples/apps/book-creator-webapp-react/.env`. 55 | 56 | 6. Start the book creator app by running the following commands 57 | 58 | ```bash 59 | yarn install 60 | yarn start 61 | ``` 62 | 63 | 7. A browser will automatically open, otherwise you can navigate to `http://localhost:3000` to access the application. 64 | 65 | 8. On the application main page, enter your AzureOpenAI key and also a value for the model ID as shown below, you may use the default **text-davinci-003** and click **Save** button 66 | 67 | ![Semantic Kernel Use cases](../../assets/images/module3/sk-bookcstart.png) 68 | 69 | 9. Follow the application prompts to enter a book idea and click **get Ideas** button to see some sample suggestions, screenshot should similar to below 70 | 71 | ![Semantic Kernel Use cases](../../assets/images/module3/bookcreator1.png) 72 | 73 | 10. Select an idea option and click on the **create book** button to see the newly created book. Note: you need to additionally click on the play button as shown below on the next screen to get the book contents. 74 | 75 | ![Semantic Kernel Use cases](../../assets/images/module3/bookcreator2.png) 76 | 77 | The final result of the book 78 | 79 | ![Semantic Kernel Use cases](../../assets/images/module3/bookcreator3.png) 80 | 81 | 82 | -------------------------------------------------------------------------------- /tools/deploy/module0/aad-federated-cred.sh: -------------------------------------------------------------------------------- 1 | # set github user name from command line argument 2 | github_username=$1 3 | if [ -z "$github_username" ]; then 4 | echo "Usage: $0 github_username" 5 | exit 1 6 | fi 7 | 8 | resourceGroupName=$2 9 | if [ -z "$resourceGroupName" ]; then 10 | resourceGroupName=openai-levelup-rg 11 | fi 12 | 13 | sed -i "s/your-github-username/$github_username/g" tools/deploy/module0/credential.json 14 | 15 | # Create an Azure AD application 16 | uniqueAppName=$(head /dev/urandom | tr -dc A-Za-z0-9 | head -c10 ; echo '') 17 | appId=$(az ad app create --display-name $uniqueAppName --query appId --output tsv) 18 | echo "appId is $appId" 19 | 20 | # Create a service principal for the Azure AD app. 21 | assigneeObjectId=$(az ad sp create --id $appId --query id --output tsv) 22 | 23 | # Create a role assignment for the Azure AD app. 24 | subscriptionId=$(az account show --query id --output tsv) 25 | az role assignment create --role Contributor --subscription $subscriptionId --assignee-object-id $assigneeObjectId --assignee-principal-type ServicePrincipal --scope /subscriptions/$subscriptionId/resourceGroups/$resourceGroupName 26 | 27 | # Create a federated identity credential on the Azure AD app. 28 | az ad app federated-credential create --id $appId --parameters tools/deploy/module0/credential.json 29 | 30 | -------------------------------------------------------------------------------- /tools/deploy/module0/credential.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "aoai-levelup-oidc", 3 | "issuer": "https://token.actions.githubusercontent.com", 4 | "subject": "repo:your-github-username/azure-openai-api-levelup:ref:refs/heads/main", 5 | "audiences": ["api://AzureADTokenExchange"], 6 | "description": "azure-openai-api-levelup repo" 7 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/.gitignore: -------------------------------------------------------------------------------- 1 | ## Ignore Visual Studio temporary files, build results, and 2 | ## files generated by popular Visual Studio add-ons. 3 | 4 | # Azure Functions localsettings file 5 | local.settings.json 6 | 7 | # User-specific files 8 | *.suo 9 | *.user 10 | *.userosscache 11 | *.sln.docstates 12 | 13 | # User-specific files (MonoDevelop/Xamarin Studio) 14 | *.userprefs 15 | 16 | # Build results 17 | [Dd]ebug/ 18 | [Dd]ebugPublic/ 19 | [Rr]elease/ 20 | [Rr]eleases/ 21 | x64/ 22 | x86/ 23 | bld/ 24 | [Bb]in/ 25 | [Oo]bj/ 26 | [Ll]og/ 27 | 28 | # Visual Studio 2015 cache/options directory 29 | .vs/ 30 | # Uncomment if you have tasks that create the project's static files in wwwroot 31 | #wwwroot/ 32 | 33 | # MSTest test Results 34 | [Tt]est[Rr]esult*/ 35 | [Bb]uild[Ll]og.* 36 | 37 | # NUNIT 38 | *.VisualState.xml 39 | TestResult.xml 40 | 41 | # Build Results of an ATL Project 42 | [Dd]ebugPS/ 43 | [Rr]eleasePS/ 44 | dlldata.c 45 | 46 | # DNX 47 | project.lock.json 48 | project.fragment.lock.json 49 | artifacts/ 50 | 51 | *_i.c 52 | *_p.c 53 | *_i.h 54 | *.ilk 55 | *.meta 56 | *.obj 57 | *.pch 58 | *.pdb 59 | *.pgc 60 | *.pgd 61 | *.rsp 62 | *.sbr 63 | *.tlb 64 | *.tli 65 | *.tlh 66 | *.tmp 67 | *.tmp_proj 68 | *.log 69 | *.vspscc 70 | *.vssscc 71 | .builds 72 | *.pidb 73 | *.svclog 74 | *.scc 75 | 76 | # Chutzpah Test files 77 | _Chutzpah* 78 | 79 | # Visual C++ cache files 80 | ipch/ 81 | *.aps 82 | *.ncb 83 | *.opendb 84 | *.opensdf 85 | *.sdf 86 | *.cachefile 87 | *.VC.db 88 | *.VC.VC.opendb 89 | 90 | # Visual Studio profiler 91 | *.psess 92 | *.vsp 93 | *.vspx 94 | *.sap 95 | 96 | # TFS 2012 Local Workspace 97 | $tf/ 98 | 99 | # Guidance Automation Toolkit 100 | *.gpState 101 | 102 | # ReSharper is a .NET coding add-in 103 | _ReSharper*/ 104 | *.[Rr]e[Ss]harper 105 | *.DotSettings.user 106 | 107 | # JustCode is a .NET coding add-in 108 | .JustCode 109 | 110 | # TeamCity is a build add-in 111 | _TeamCity* 112 | 113 | # DotCover is a Code Coverage Tool 114 | *.dotCover 115 | 116 | # NCrunch 117 | _NCrunch_* 118 | .*crunch*.local.xml 119 | nCrunchTemp_* 120 | 121 | # MightyMoose 122 | *.mm.* 123 | AutoTest.Net/ 124 | 125 | # Web workbench (sass) 126 | .sass-cache/ 127 | 128 | # Installshield output folder 129 | [Ee]xpress/ 130 | 131 | # DocProject is a documentation generator add-in 132 | DocProject/buildhelp/ 133 | DocProject/Help/*.HxT 134 | DocProject/Help/*.HxC 135 | DocProject/Help/*.hhc 136 | DocProject/Help/*.hhk 137 | DocProject/Help/*.hhp 138 | DocProject/Help/Html2 139 | DocProject/Help/html 140 | 141 | # Click-Once directory 142 | publish/ 143 | 144 | # Publish Web Output 145 | *.[Pp]ublish.xml 146 | *.azurePubxml 147 | # TODO: Comment the next line if you want to checkin your web deploy settings 148 | # but database connection strings (with potential passwords) will be unencrypted 149 | #*.pubxml 150 | *.publishproj 151 | 152 | # Microsoft Azure Web App publish settings. Comment the next line if you want to 153 | # checkin your Azure Web App publish settings, but sensitive information contained 154 | # in these scripts will be unencrypted 155 | PublishScripts/ 156 | 157 | # NuGet Packages 158 | *.nupkg 159 | # The packages folder can be ignored because of Package Restore 160 | **/packages/* 161 | # except build/, which is used as an MSBuild target. 162 | !**/packages/build/ 163 | # Uncomment if necessary however generally it will be regenerated when needed 164 | #!**/packages/repositories.config 165 | # NuGet v3's project.json files produces more ignoreable files 166 | *.nuget.props 167 | *.nuget.targets 168 | 169 | # Microsoft Azure Build Output 170 | csx/ 171 | *.build.csdef 172 | 173 | # Microsoft Azure Emulator 174 | ecf/ 175 | rcf/ 176 | 177 | # Windows Store app package directories and files 178 | AppPackages/ 179 | BundleArtifacts/ 180 | Package.StoreAssociation.xml 181 | _pkginfo.txt 182 | 183 | # Visual Studio cache files 184 | # files ending in .cache can be ignored 185 | *.[Cc]ache 186 | # but keep track of directories ending in .cache 187 | !*.[Cc]ache/ 188 | 189 | # Others 190 | ClientBin/ 191 | ~$* 192 | *~ 193 | *.dbmdl 194 | *.dbproj.schemaview 195 | *.jfm 196 | *.pfx 197 | *.publishsettings 198 | node_modules/ 199 | orleans.codegen.cs 200 | 201 | # Since there are multiple workflows, uncomment next line to ignore bower_components 202 | # (https://github.com/github/gitignore/pull/1529#issuecomment-104372622) 203 | #bower_components/ 204 | 205 | # RIA/Silverlight projects 206 | Generated_Code/ 207 | 208 | # Backup & report files from converting an old project file 209 | # to a newer Visual Studio version. Backup files are not needed, 210 | # because we have git ;-) 211 | _UpgradeReport_Files/ 212 | Backup*/ 213 | UpgradeLog*.XML 214 | UpgradeLog*.htm 215 | 216 | # SQL Server files 217 | *.mdf 218 | *.ldf 219 | 220 | # Business Intelligence projects 221 | *.rdl.data 222 | *.bim.layout 223 | *.bim_*.settings 224 | 225 | # Microsoft Fakes 226 | FakesAssemblies/ 227 | 228 | # GhostDoc plugin setting file 229 | *.GhostDoc.xml 230 | 231 | # Node.js Tools for Visual Studio 232 | .ntvs_analysis.dat 233 | 234 | # Visual Studio 6 build log 235 | *.plg 236 | 237 | # Visual Studio 6 workspace options file 238 | *.opt 239 | 240 | # Visual Studio LightSwitch build output 241 | **/*.HTMLClient/GeneratedArtifacts 242 | **/*.DesktopClient/GeneratedArtifacts 243 | **/*.DesktopClient/ModelManifest.xml 244 | **/*.Server/GeneratedArtifacts 245 | **/*.Server/ModelManifest.xml 246 | _Pvt_Extensions 247 | 248 | # Paket dependency manager 249 | .paket/paket.exe 250 | paket-files/ 251 | 252 | # FAKE - F# Make 253 | .fake/ 254 | 255 | # JetBrains Rider 256 | .idea/ 257 | *.sln.iml 258 | 259 | # CodeRush 260 | .cr/ 261 | 262 | # Python Tools for Visual Studio (PTVS) 263 | __pycache__/ 264 | *.pyc -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/Properties/ServiceDependencies/xact-classifier-openai - Zip Deploy/appInsights1.arm.json: -------------------------------------------------------------------------------- 1 | { 2 | "$schema": "https://schema.management.azure.com/schemas/2018-05-01/subscriptionDeploymentTemplate.json#", 3 | "contentVersion": "1.0.0.0", 4 | "parameters": { 5 | "resourceGroupName": { 6 | "type": "string", 7 | "defaultValue": "xact-classifier-rg", 8 | "metadata": { 9 | "_parameterType": "resourceGroup", 10 | "description": "Name of the resource group for the resource. It is recommended to put resources under same resource group for better tracking." 11 | } 12 | }, 13 | "resourceGroupLocation": { 14 | "type": "string", 15 | "defaultValue": "eastus", 16 | "metadata": { 17 | "_parameterType": "location", 18 | "description": "Location of the resource group. Resource groups could have different location than resources." 19 | } 20 | }, 21 | "resourceLocation": { 22 | "type": "string", 23 | "defaultValue": "[parameters('resourceGroupLocation')]", 24 | "metadata": { 25 | "_parameterType": "location", 26 | "description": "Location of the resource. By default use resource group's location, unless the resource provider is not supported there." 27 | } 28 | } 29 | }, 30 | "resources": [ 31 | { 32 | "type": "Microsoft.Resources/resourceGroups", 33 | "name": "[parameters('resourceGroupName')]", 34 | "location": "[parameters('resourceGroupLocation')]", 35 | "apiVersion": "2019-10-01" 36 | }, 37 | { 38 | "type": "Microsoft.Resources/deployments", 39 | "name": "[concat(parameters('resourceGroupName'), 'Deployment', uniqueString(concat('xact-classifier-openai', subscription().subscriptionId)))]", 40 | "resourceGroup": "[parameters('resourceGroupName')]", 41 | "apiVersion": "2019-10-01", 42 | "dependsOn": [ 43 | "[parameters('resourceGroupName')]" 44 | ], 45 | "properties": { 46 | "mode": "Incremental", 47 | "template": { 48 | "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#", 49 | "contentVersion": "1.0.0.0", 50 | "resources": [ 51 | { 52 | "name": "xact-classifier-openai", 53 | "type": "microsoft.insights/components", 54 | "location": "[parameters('resourceLocation')]", 55 | "kind": "web", 56 | "properties": {}, 57 | "apiVersion": "2015-05-01" 58 | } 59 | ] 60 | } 61 | } 62 | } 63 | ], 64 | "metadata": { 65 | "_dependencyType": "appInsights.azure" 66 | } 67 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/Properties/ServiceDependencies/xact-classifier-openai - Zip Deploy/storage1.arm.json: -------------------------------------------------------------------------------- 1 | { 2 | "$schema": "https://schema.management.azure.com/schemas/2018-05-01/subscriptionDeploymentTemplate.json#", 3 | "contentVersion": "1.0.0.0", 4 | "parameters": { 5 | "resourceGroupName": { 6 | "type": "string", 7 | "defaultValue": "xact-classifier-rg", 8 | "metadata": { 9 | "_parameterType": "resourceGroup", 10 | "description": "Name of the resource group for the resource. It is recommended to put resources under same resource group for better tracking." 11 | } 12 | }, 13 | "resourceGroupLocation": { 14 | "type": "string", 15 | "defaultValue": "eastus", 16 | "metadata": { 17 | "_parameterType": "location", 18 | "description": "Location of the resource group. Resource groups could have different location than resources." 19 | } 20 | }, 21 | "resourceLocation": { 22 | "type": "string", 23 | "defaultValue": "[parameters('resourceGroupLocation')]", 24 | "metadata": { 25 | "_parameterType": "location", 26 | "description": "Location of the resource. By default use resource group's location, unless the resource provider is not supported there." 27 | } 28 | } 29 | }, 30 | "resources": [ 31 | { 32 | "type": "Microsoft.Resources/resourceGroups", 33 | "name": "[parameters('resourceGroupName')]", 34 | "location": "[parameters('resourceGroupLocation')]", 35 | "apiVersion": "2019-10-01" 36 | }, 37 | { 38 | "type": "Microsoft.Resources/deployments", 39 | "name": "[concat(parameters('resourceGroupName'), 'Deployment', uniqueString(concat('xactclassifierrg8f36', subscription().subscriptionId)))]", 40 | "resourceGroup": "[parameters('resourceGroupName')]", 41 | "apiVersion": "2019-10-01", 42 | "dependsOn": [ 43 | "[parameters('resourceGroupName')]" 44 | ], 45 | "properties": { 46 | "mode": "Incremental", 47 | "template": { 48 | "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#", 49 | "contentVersion": "1.0.0.0", 50 | "resources": [ 51 | { 52 | "sku": { 53 | "name": "Standard_LRS", 54 | "tier": "Standard" 55 | }, 56 | "kind": "Storage", 57 | "name": "xactclassifierrg8f36", 58 | "type": "Microsoft.Storage/storageAccounts", 59 | "location": "[parameters('resourceLocation')]", 60 | "apiVersion": "2017-10-01" 61 | } 62 | ] 63 | } 64 | } 65 | } 66 | ], 67 | "metadata": { 68 | "_dependencyType": "storage.azure" 69 | } 70 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/Properties/launchSettings.json: -------------------------------------------------------------------------------- 1 | { 2 | "profiles": { 3 | "FunctionApp1": { 4 | "commandName": "Project", 5 | "environmentVariables": { 6 | "OPENAI_API_KEY": "8a62beb9c8074123a558eff4c0bfdca2", 7 | "OPENAI_API_BASE": "https://openai-demo-ahmedbham.openai.azure.com/", 8 | "STORAGE_ACCOUNT_CONNECTION_STRING": "DefaultEndpointsProtocol=https;AccountName=xactclassifierahmedbham;AccountKey=zTyIgYos4FtKrJW0AWVqAderZsQJhymQuNmD3IBCNlSpOmFF25KUrAMQYNDk4FulWXUJi6wnko8R+ASt/krmYw==;EndpointSuffix=core.windows.net", 9 | "OPENAI_API_MODEL": "text-davinci-003" 10 | } 11 | } 12 | } 13 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/Properties/serviceDependencies.json: -------------------------------------------------------------------------------- 1 | { 2 | "dependencies": { 3 | "appInsights1": { 4 | "type": "appInsights", 5 | "connectionId": "APPLICATIONINSIGHTS_CONNECTION_STRING" 6 | }, 7 | "storage1": { 8 | "type": "storage", 9 | "connectionId": "AzureWebJobsStorage" 10 | } 11 | } 12 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/Properties/serviceDependencies.local.json: -------------------------------------------------------------------------------- 1 | { 2 | "dependencies": { 3 | "appInsights1": { 4 | "type": "appInsights.sdk" 5 | }, 6 | "storage1": { 7 | "type": "storage.emulator", 8 | "connectionId": "AzureWebJobsStorage" 9 | } 10 | } 11 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/Properties/serviceDependencies.xact-classifier-openai - Zip Deploy.json: -------------------------------------------------------------------------------- 1 | { 2 | "dependencies": { 3 | "appInsights1": { 4 | "resourceId": "/subscriptions/[parameters('subscriptionId')]/resourceGroups/[parameters('resourceGroupName')]/providers/microsoft.insights/components/xact-classifier-openai", 5 | "type": "appInsights.azure", 6 | "connectionId": "APPLICATIONINSIGHTS_CONNECTION_STRING" 7 | }, 8 | "storage1": { 9 | "resourceId": "/subscriptions/[parameters('subscriptionId')]/resourceGroups/[parameters('resourceGroupName')]/providers/Microsoft.Storage/storageAccounts/xactclassifierrg8f36", 10 | "type": "storage.azure", 11 | "connectionId": "AzureWebJobsStorage" 12 | } 13 | } 14 | } -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/TransactionClassifier.cs: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ahmedbham/azure-openai-api-levelup/dfe9cc488703d3547f88da47d5918b1407e3c8f7/tools/deploy/module1/TransactionClassifier/TransactionClassifier.cs -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/TransactionClassifier.csproj: -------------------------------------------------------------------------------- 1 | 2 | 3 | net6.0 4 | v4 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | PreserveNewest 16 | 17 | 18 | PreserveNewest 19 | Never 20 | 21 | 22 | 23 | -------------------------------------------------------------------------------- /tools/deploy/module1/TransactionClassifier/host.json: -------------------------------------------------------------------------------- 1 | { 2 | "version": "2.0", 3 | "logging": { 4 | "applicationInsights": { 5 | "samplingSettings": { 6 | "isEnabled": true, 7 | "excludedTypes": "Request" 8 | } 9 | } 10 | } 11 | } -------------------------------------------------------------------------------- /tools/deploy/module1/data/25000_spend_dataset_current_25.csv: -------------------------------------------------------------------------------- 1 | Date,Supplier,Description,Transaction_value,classification 2 | 21/04/2016,M & J Ballantyne Ltd,George IV Bridge Work,35098, 3 | 26/04/2016,Private Sale,Literary & Archival Items,30000, 4 | 30/04/2016,City Of Edinburgh Council,Non Domestic Rates ,40800, 5 | 9/5/2016,Computacenter Uk,Kelvin Hall,72835, 6 | 9/5/2016,John Graham Construction Ltd,Causewayside Refurbishment,64361, 7 | 9/5/2016,A McGillivray,Causewayside Refurbishment,53690, 8 | 16/05/2016,John Graham Construction Ltd,Causewayside Refurbishment,365344, 9 | 23/05/2016,Computacenter Uk,Kelvin Hall,26506, 10 | 23/05/2016,ECG Facilities Service,Facilities Management Charge,32777, 11 | 23/05/2016,ECG Facilities Service,Facilities Management Charge,32777, 12 | 30/05/2016,ALDL,ALDL Charges,32317, 13 | 10/6/2016,Wavetek Ltd,Kelvin Hall,87589, 14 | 10/6/2016,John Graham Construction Ltd,Causewayside Refurbishment,381803, 15 | 28/06/2016,ECG Facilities Service,Facilities Management Charge,32832, 16 | 30/06/2016,Glasgow City Council,Kelvin Hall,1700000, 17 | 11/7/2016,Wavetek Ltd,Kelvin Hall,65692, 18 | 11/7/2016,John Graham Construction Ltd,Causewayside Refurbishment,139845, 19 | 15/07/2016,Sotheby'S,Literary & Archival Items,28500, 20 | 18/07/2016,Christies,Literary & Archival Items,33800, 21 | 25/07/2016,A McGillivray,Causewayside Refurbishment,30113, 22 | 31/07/2016,ALDL,ALDL Charges,32317, 23 | 8/8/2016,ECG Facilities Service,Facilities Management Charge,32795, 24 | 15/08/2016,Creative Video Productions Ltd,Kelvin Hall,26866, 25 | 15/08/2016,John Graham Construction Ltd,Causewayside Refurbishment,196807, 26 | -------------------------------------------------------------------------------- /tools/deploy/module1/infra/module1-infra.bicep: -------------------------------------------------------------------------------- 1 | // Declare parameters 2 | @description('The unique name for the Azure Storage Account.') 3 | param storageAccountName string = 'opai${uniqueString(resourceGroup().id)}' 4 | 5 | @description('The unique name for the Azure Function App.') 6 | param functionAppName string = 'xact-classifier-openai-${uniqueString(resourceGroup().id)}' 7 | 8 | // Optional params 9 | @description('The region to deploy the cluster. By default this will use the same region as the resource group.') 10 | param location string = resourceGroup().location 11 | 12 | // Declare variables 13 | var storageAccountType = 'Standard_LRS' 14 | var appServicePlanSku = 'S1' 15 | 16 | // Create storage account 17 | resource storageAccount 'Microsoft.Storage/storageAccounts@2022-09-01' = { 18 | name: storageAccountName 19 | location: location 20 | sku: { 21 | name: storageAccountType 22 | } 23 | kind: 'StorageV2' 24 | } 25 | 26 | resource blobService 'Microsoft.Storage/storageAccounts/blobServices@2022-09-01' = { 27 | name: 'default' 28 | parent: storageAccount 29 | } 30 | 31 | 32 | // Create storage containers 33 | resource classificationContainer 'Microsoft.Storage/storageAccounts/blobServices/containers@2022-09-01' = { 34 | name: 'classification' 35 | parent: blobService 36 | 37 | properties: { 38 | publicAccess: 'Blob' 39 | } 40 | } 41 | 42 | resource outputContainer 'Microsoft.Storage/storageAccounts/blobServices/containers@2022-09-01' = { 43 | name: 'output' 44 | parent: blobService 45 | properties: { 46 | publicAccess: 'Blob' 47 | } 48 | } 49 | 50 | // Create app service plan 51 | resource appServicePlan 'Microsoft.Web/serverfarms@2022-03-01' = { 52 | name: '${functionAppName}-plan' 53 | location: location 54 | sku: { 55 | name: appServicePlanSku 56 | tier: 'Standard' 57 | } 58 | } 59 | 60 | // Create function app 61 | resource functionApp 'Microsoft.Web/sites@2022-03-01' = { 62 | name: functionAppName 63 | location: location 64 | kind: 'functionapp' 65 | properties: { 66 | serverFarmId: appServicePlan.id 67 | siteConfig: { 68 | appSettings: [ 69 | { 70 | name: 'AzureWebJobsStorage' 71 | value: 'DefaultEndpointsProtocol=https;AccountName=${storageAccountName};AccountKey=${storageAccount.listKeys().keys[0].value};EndpointSuffix=${environment().suffixes.storage}' 72 | } 73 | { 74 | name: 'WEBSITE_CONTENTAZUREFILECONNECTIONSTRING' 75 | value: 'DefaultEndpointsProtocol=https;AccountName=${storageAccountName};EndpointSuffix=${environment().suffixes.storage};AccountKey=${storageAccount.listKeys().keys[0].value}' 76 | } 77 | { 78 | name: 'WEBSITE_CONTENTSHARE' 79 | value: functionAppName 80 | } 81 | { 82 | name: 'STORAGE_ACCOUNT_CONNECTION_STRING' 83 | value: 'DefaultEndpointsProtocol=https;AccountName=${storageAccountName};EndpointSuffix=${environment().suffixes.storage};AccountKey=${storageAccount.listKeys().keys[0].value}' 84 | } 85 | { 86 | name: 'OPENAI_API_BASE' 87 | value: 'Enter your Azure OpenAI API Endpoint URL' 88 | } 89 | { 90 | name: 'OPENAI_API_KEY' 91 | value: 'Enter your Azure OpenAI API Key' 92 | } 93 | { 94 | name: 'OPENAI_API_MODEL' 95 | value: 'text-davinci-003' 96 | } 97 | { 98 | name: 'FUNCTIONS_EXTENSION_VERSION' 99 | value: '~4' 100 | } 101 | { 102 | name: 'FUNCTIONS_WORKER_RUNTIME' 103 | value: 'dotnet' 104 | } 105 | ] 106 | } 107 | } 108 | } 109 | 110 | 111 | 112 | 113 | -------------------------------------------------------------------------------- /tools/deploy/module3/pom.xml: -------------------------------------------------------------------------------- 1 | 2 | 4.0.0 3 | 4 | com.github.octodemo 5 | bookstore-security 6 | ${revision}${changelist}${sha1} 7 | jar 8 | 9 | A Java example project to demonstrate a Java development stack with Maven, GitHub Actions, GitHub Package Registry and Azure. 10 | 11 | 12 | UTF-8 13 | UTF-8 14 | 15 | 11 16 | 17 | 20 | 10.0.0 21 | 2.17.2 22 | 23 | 26 | 1.0.0 27 | 28 | -SNAPSHOT 29 | 30 | 31 | msft-demo-resources/template-bookstore-security 32 | 33 | 34 | 35 | 36 | 37 | org.eclipse.jetty 38 | jetty-bom 39 | ${jetty.version} 40 | pom 41 | import 42 | 43 | 44 | 45 | 46 | 47 | 48 | org.eclipse.jetty 49 | jetty-server 50 | 51 | 52 | 53 | org.eclipse.jetty 54 | jetty-servlet 55 | 56 | 57 | 58 | org.thymeleaf 59 | thymeleaf 60 | 3.0.12.RELEASE 61 | 62 | 63 | 64 | org.json 65 | json 66 | 20210307 67 | 68 | 69 | 70 | org.xerial 71 | sqlite-jdbc 72 | 3.32.3.2 73 | 74 | 75 | 76 | org.apache.logging.log4j 77 | log4j-slf4j18-impl 78 | ${log4j.version} 79 | 80 | 81 | 82 | junit 83 | junit 84 | 4.13 85 | test 86 | 87 | 88 | 89 | 90 | 91 | 92 | src/main/resources 93 | true 94 | 95 | 96 | 97 | 98 | src/main/webapp 99 | false 100 | 101 | 102 | 103 | 104 | 105 | 106 | org.apache.maven.plugins 107 | maven-checkstyle-plugin 108 | 3.1.1 109 | 110 | 111 | com.puppycrawl.tools 112 | checkstyle 113 | 8.29 114 | 115 | 116 | 117 | 118 | 119 | org.apache.maven.plugins 120 | maven-compiler-plugin 121 | 3.8.1 122 | 123 | 124 | ${java.version} 125 | ${java.version} 126 | 127 | 128 | 129 | 130 | org.apache.maven.plugins 131 | maven-resources-plugin 132 | 3.1.0 133 | 134 | 135 | 136 | com.github.ekryd.echo-maven-plugin 137 | echo-maven-plugin 138 | 1.3.2 139 | 140 | 141 | 142 | org.jacoco 143 | jacoco-maven-plugin 144 | 0.8.6 145 | 146 | 147 | 148 | org.apache.maven.plugins 149 | maven-shade-plugin 150 | 3.2.4 151 | 152 | 153 | 154 | 155 | 156 | 157 | org.apache.maven.plugins 158 | maven-checkstyle-plugin 159 | 160 | 161 | verify-style 162 | verify 163 | 164 | check 165 | 166 | 167 | true 168 | 169 | 170 | 171 | 172 | 173 | 174 | 175 | 176 | 177 | 178 | 179 | 180 | 181 | 182 | 183 | org.apache.maven.plugins 184 | maven-shade-plugin 185 | 186 | 187 | package 188 | 189 | shade 190 | 191 | 192 | false 193 | 194 | 195 | com.github.demo.DemoServer 196 | 197 | 198 | 199 | 200 | 201 | 202 | 203 | 204 | 205 | 206 | 207 | coverage-per-test 208 | 209 | 210 | 211 | org.apache.maven.plugins 212 | maven-surefire-plugin 213 | 2.22.2 214 | 215 | 216 | 217 | listener 218 | org.sonar.java.jacoco.JUnitListener 219 | 220 | 221 | 222 | 223 | 224 | 225 | org.jacoco 226 | jacoco-maven-plugin 227 | 228 | 229 | 230 | prepare-jacoco 231 | 232 | prepare-agent 233 | 234 | 235 | 236 | 237 | jacoco-report 238 | test 239 | 240 | report 241 | 242 | 243 | 244 | 245 | 246 | 247 | 248 | 249 | 250 | org.sonarsource.java 251 | sonar-jacoco-listeners 252 | 3.8 253 | test 254 | 255 | 256 | 257 | 258 | 259 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/DemoServer.java: -------------------------------------------------------------------------------- 1 | package com.github.demo; 2 | 3 | import java.net.URL; 4 | import java.net.URI; 5 | 6 | import com.github.demo.servlet.*; 7 | 8 | import org.eclipse.jetty.server.Server; 9 | import org.eclipse.jetty.servlet.DefaultServlet; 10 | import org.eclipse.jetty.servlet.ServletContextHandler; 11 | import org.eclipse.jetty.servlet.ServletHolder; 12 | import org.eclipse.jetty.util.resource.Resource; 13 | import org.slf4j.Logger; 14 | import org.slf4j.LoggerFactory; 15 | 16 | public class DemoServer { 17 | 18 | private static final Logger logger = LoggerFactory.getLogger(DemoServer.class); 19 | 20 | public static void main(String[] args) throws Exception { 21 | String portString = System.getenv("SERVER_PORT"); 22 | if (portString == null) { 23 | portString = "8080"; 24 | } 25 | 26 | int port = Integer.parseInt(portString); 27 | Server server = new Server(port); 28 | 29 | URI webRootUri; 30 | String staticResources = System.getenv("STATIC_RESOURCES"); 31 | 32 | if (staticResources != null) { 33 | logger.info("Using environment variable for static resources; {}", staticResources); 34 | webRootUri = URI.create("file://" + staticResources); 35 | } else { 36 | logger.info("Using embedded static resources"); 37 | URL url = DemoServer.class.getClassLoader().getResource("static/"); 38 | webRootUri = url.toURI(); 39 | } 40 | logger.info("Webserver static resources: {}", webRootUri); 41 | 42 | ServletContextHandler ctxHandler = new ServletContextHandler(ServletContextHandler.SESSIONS); 43 | ctxHandler.setContextPath("/"); 44 | ctxHandler.setBaseResource(Resource.newResource(webRootUri)); 45 | 46 | ServletHolder staticFiles = new ServletHolder("static-home", DefaultServlet.class); 47 | staticFiles.setInitParameter("resourceBase", webRootUri.toString()); 48 | staticFiles.setInitParameter("dirAllowed","true"); 49 | staticFiles.setInitParameter("pathInfoOnly","true"); 50 | ctxHandler.addServlet(staticFiles,"/static/*"); 51 | 52 | ctxHandler.addServlet(StatusServlet.class, "/status"); 53 | 54 | // Default servlet path, must be last 55 | ServletHolder books = new ServletHolder("/", BookServlet.class); 56 | books.setInitParameter("dirAllowed","false"); 57 | books.setInitParameter("pathInfoOnly","true"); 58 | ctxHandler.addServlet(books, "/"); 59 | 60 | server.setHandler(ctxHandler); 61 | 62 | server.start(); 63 | 64 | try { 65 | URI serverUri = server.getURI(); 66 | if (serverUri != null) { 67 | logServerWithUri(serverUri); 68 | } else { 69 | logServerStartWithUnresolvedUri(port); 70 | } 71 | } catch (Exception e) { 72 | logger.error("Failure resolving URI: {}", e.getMessage(), e); 73 | logServerStartWithUnresolvedUri(port); 74 | } 75 | server.join(); 76 | } 77 | 78 | private static void logServerStartWithUnresolvedUri(int port) { 79 | logger.info("**********************************************************************************************************"); 80 | logger.info("Started DemoServer, but server URI could not be determined, try accessing on http://localhost:{}", port); 81 | logger.info("**********************************************************************************************************"); 82 | } 83 | 84 | private static void logServerWithUri(URI serverUri) { 85 | logger.info("**********************************************************************************************************"); 86 | logger.info("Started DemoServer; available at: {}://localhost:{}", serverUri.getScheme(), serverUri.getPort()); 87 | logger.info("**********************************************************************************************************"); 88 | } 89 | } -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/model/Book.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.model; 2 | 3 | /** 4 | * Model class for book. 5 | */ 6 | public class Book { 7 | 8 | private String title; 9 | 10 | private String author; 11 | 12 | private String cover; 13 | 14 | public Book() { 15 | 16 | } 17 | 18 | public Book(String author, String title) { 19 | this.author = author; 20 | this.title = title; 21 | } 22 | 23 | public Book(String author, String title, String cover) { 24 | this.author = author; 25 | this.title = title; 26 | this.cover = cover; 27 | } 28 | 29 | public String getTitle() { 30 | return title; 31 | } 32 | 33 | public void setTitle(String title) { 34 | this.title = title; 35 | } 36 | 37 | public String getAuthor() { 38 | return author; 39 | } 40 | 41 | public void setAuthor(String author) { 42 | this.author = author; 43 | } 44 | 45 | public String getDetails() { 46 | return author + " " + title; 47 | } 48 | 49 | public String getCover() { 50 | return cover; 51 | } 52 | 53 | public void setCover(String cover) { 54 | this.cover = cover; 55 | } 56 | } 57 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/service/BookDatabase.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.service; 2 | 3 | import com.github.demo.model.Book; 4 | 5 | import java.util.List; 6 | import java.util.Collection; 7 | 8 | public interface BookDatabase { 9 | 10 | List getAll() throws BookServiceException; 11 | 12 | List getBooksByTitle(String name) throws BookServiceException; 13 | 14 | void populate(Collection books) throws BookServiceException; 15 | 16 | void destroy() throws BookServiceException; 17 | } -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/service/BookDatabaseImpl.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.service; 2 | 3 | import com.github.demo.model.Book; 4 | 5 | import org.slf4j.Logger; 6 | import org.slf4j.LoggerFactory; 7 | 8 | import java.sql.Connection; 9 | import java.sql.DriverManager; 10 | import java.sql.PreparedStatement; 11 | import java.sql.ResultSet; 12 | import java.sql.SQLException; 13 | import java.sql.Statement; 14 | 15 | import java.util.Properties; 16 | import java.util.Collection; 17 | import java.util.List; 18 | import java.util.ArrayList; 19 | 20 | public class BookDatabaseImpl implements BookDatabase { 21 | 22 | public static final Logger logger = LoggerFactory.getLogger(BookDatabaseImpl.class); 23 | 24 | /** The maximum number of retries for connecting with the database. */ 25 | private static final int MAX_CONNECTION_RETRIES = 10; 26 | 27 | /** The time in ms to backoff on a connection failure to the database. */ 28 | private static final int RETRY_BACKOFF = 3000; 29 | 30 | /** The connection for the database. */ 31 | private Connection connection; 32 | 33 | /** 34 | * Obtain the maximum number of database connection retires before giving up 35 | * @return The number of times to attempt to reconnect to the database. 36 | */ 37 | private static final int getMaxRetries() { 38 | String retries = System.getenv("DATABASE_RETRIES"); 39 | if (retries != null) { 40 | return Integer.parseInt(retries); 41 | } else { 42 | return MAX_CONNECTION_RETRIES; 43 | } 44 | } 45 | 46 | public BookDatabaseImpl() throws BookServiceException { 47 | this(null, null, null); 48 | } 49 | 50 | public BookDatabaseImpl(String url, String username, String password) throws BookServiceException { 51 | Properties props = new Properties(); 52 | 53 | if (username != null) { 54 | props.setProperty("user", username); 55 | } 56 | if (password != null) { 57 | props.setProperty("password", password); 58 | } 59 | // This is a postgres specific setting, but SQLlite tolerates it 60 | props.setProperty("ssl", "false"); 61 | 62 | // Default to a sqlite in memory database if no database url has been provided 63 | if (url == null) { 64 | url = "jdbc:sqlite::memory:"; 65 | } 66 | 67 | connection = getConnection(url, props); 68 | 69 | // Populate our in-memory database with data, if this is what we are 70 | if (connection != null && url.indexOf(":memory:") > -1) { 71 | initializeAndPopulateDatabase(); 72 | } 73 | } 74 | 75 | public boolean isValid() { 76 | return connection != null; 77 | } 78 | 79 | @Override 80 | public List getAll() throws BookServiceException { 81 | List books = new ArrayList(); 82 | 83 | if (!isValid()) { 84 | throw new BookServiceException("Database connection is not valid, check logs for failure details."); 85 | } 86 | 87 | try { 88 | Statement stmt = connection.createStatement(); 89 | 90 | ResultSet rs = stmt.executeQuery("SELECT * FROM books"); 91 | while (rs.next()) { 92 | Book book = new Book( 93 | rs.getString("author"), 94 | rs.getString("title"), 95 | rs.getString("image") 96 | ); 97 | books.add(book); 98 | } 99 | } catch (SQLException e) { 100 | logger.error("Failed to obtain books", e); 101 | throw new BookServiceException(e); 102 | } 103 | return books; 104 | } 105 | 106 | @Override 107 | public List getBooksByTitle(String name) throws BookServiceException { 108 | List books = new ArrayList(); 109 | 110 | if (!isValid()) { 111 | throw new BookServiceException("Database connection is not valid, check logs for failure details."); 112 | } 113 | 114 | Statement stmt = null; 115 | 116 | try { 117 | stmt = connection.createStatement(); 118 | String query = "SELECT * FROM books WHERE title LIKE '%" + name + "%'"; 119 | 120 | ResultSet results = stmt.executeQuery(query); 121 | 122 | while (results.next()) { 123 | Book book = new Book( 124 | results.getString("author"), 125 | results.getString("title"), 126 | results.getString("image") 127 | ); 128 | books.add(book); 129 | } 130 | } catch (SQLException e) { 131 | logger.error("Failed while searching for {}'", name); 132 | throw new BookServiceException(e); 133 | } finally { 134 | try { 135 | if (stmt != null) { 136 | stmt.close(); 137 | } 138 | } catch (SQLException se) { 139 | // Do nothing 140 | } finally { 141 | stmt = null; 142 | } 143 | } 144 | return books; 145 | } 146 | 147 | @Override 148 | public void destroy() { 149 | try { 150 | if (connection != null) { 151 | connection.close(); 152 | } 153 | } catch (SQLException e) { 154 | // Ignore 155 | connection = null; 156 | } 157 | } 158 | 159 | @Override 160 | public void populate(Collection books) throws BookServiceException { 161 | if (books != null && books.size() > 0) { 162 | PreparedStatement ps = null; 163 | 164 | try { 165 | ps = connection.prepareStatement("INSERT INTO books (title, author, image, rating) VALUES(?, ?, ?, ?)"); 166 | 167 | for (Book book : books) { 168 | logger.info("Adding book to database: {}", book.getTitle()); 169 | ps.setString(1, book.getTitle()); 170 | ps.setString(2, book.getAuthor()); 171 | ps.setString(3, book.getCover()); 172 | ps.execute(); 173 | } 174 | logger.info("Database populated."); 175 | } catch (SQLException se) { 176 | logger.error("Failure when populating database", se); 177 | throw new BookServiceException(se); 178 | } finally { 179 | try { 180 | if (ps != null) { 181 | ps.close(); 182 | } 183 | } catch (SQLException e) { 184 | // Do nothing 185 | ps = null; 186 | } 187 | } 188 | } 189 | } 190 | 191 | /** 192 | * Initializes the internal database structure and populates it with our default 193 | * data. 194 | */ 195 | private void initializeAndPopulateDatabase() throws BookServiceException { 196 | Statement statement = null; 197 | try { 198 | // Initialize the database tables for in memory database 199 | statement = connection.createStatement(); 200 | 201 | statement.execute("CREATE TABLE IF NOT EXISTS books (" 202 | + "id INTEGER PRIMARY KEY, " 203 | + "title TEXT NOT NULL, " 204 | + "author TEXT, " 205 | + "image TEXT, " 206 | + "rating, INTEGER " 207 | + ")" 208 | ); 209 | // Populate the database with some sample data 210 | populate(BookUtils.getSampleBooks()); 211 | } catch (SQLException e) { 212 | if (statement != null) { 213 | try { 214 | statement.close(); 215 | } catch(SQLException se) { 216 | // ignore 217 | } 218 | } 219 | throw new BookServiceException(e); 220 | } 221 | } 222 | 223 | private Connection getConnection(String url, Properties props) throws BookServiceException { 224 | Connection connection = null; 225 | int retryCount = 0; 226 | int maxRetries = getMaxRetries(); 227 | 228 | logger.debug("Connecting to database: " + url); 229 | 230 | do { 231 | try { 232 | connection = DriverManager.getConnection(url, props); 233 | } catch (SQLException e) { 234 | retryCount++; 235 | 236 | logger.warn("Failed to connect to database, reties: " + retryCount); 237 | logger.warn(e.getMessage()); 238 | 239 | try { 240 | logger.info("Backing off before retrying database connection for " + RETRY_BACKOFF + "ms."); 241 | Thread.sleep(RETRY_BACKOFF); 242 | } catch (InterruptedException e1) { 243 | logger.error("Failed to sleep: " + e1.getMessage()); 244 | } 245 | } 246 | } 247 | while (connection == null && retryCount < maxRetries); 248 | 249 | logger.info("Database Connection successful? " + (connection != null)); 250 | return connection; 251 | } 252 | } 253 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/service/BookService.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.service; 2 | 3 | import com.github.demo.model.Book; 4 | 5 | import java.util.List; 6 | 7 | public class BookService { 8 | 9 | private BookDatabase booksDatabase; 10 | 11 | public BookService() throws BookServiceException { 12 | String databaseUrl = System.getenv("DATABASE_URL"); 13 | String databaseUser = System.getenv("DATABASE_USER"); 14 | String databasePassword = System.getenv("DATABASE_PASSWORD"); 15 | 16 | try { 17 | booksDatabase = new BookDatabaseImpl(databaseUrl, databaseUser, databasePassword); 18 | } catch (BookServiceException e) { 19 | throw new BookServiceException(e); 20 | } 21 | } 22 | 23 | public List getBooks() throws BookServiceException { 24 | return this.booksDatabase.getAll(); 25 | } 26 | 27 | public List searchBooks(String name) throws BookServiceException { 28 | return this.booksDatabase.getBooksByTitle(name); 29 | } 30 | } -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/service/BookServiceException.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.service; 2 | 3 | /** 4 | * Custom BookService Exception for caturing failures in building/starting the books service. 5 | */ 6 | public class BookServiceException extends Exception { 7 | 8 | private static final long serialVersionUID = 1L; 9 | 10 | public BookServiceException(Exception e) { 11 | super(e); 12 | } 13 | 14 | public BookServiceException(String message) { 15 | super(message); 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/service/BookUtils.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.service; 2 | 3 | import java.util.ArrayList; 4 | import java.util.List; 5 | 6 | import com.github.demo.model.Book; 7 | 8 | public class BookUtils { 9 | 10 | public static List getSampleBooks() { 11 | List books = new ArrayList(6); 12 | 13 | books.add(new Book("Jeff Sutherland","Scrum: The Art of Doing Twice the Work in Half the Time", "scrum.jpg")); 14 | books.add(new Book("Eric Ries","The Lean Startup: How Constant Innovation Creates Radically Successful Businesses", "lean.jpg")); 15 | books.add(new Book("Geoffrey A. Moore","Crossing the Chasm", "chasm.jpg")); 16 | books.add(new Book("David Thomas","The Pragmatic Programmer: From Journeyman to Master", "pragmatic.jpg")); 17 | books.add(new Book("Frederick P. Brooks Jr.", "The Mythical Man-Month: Essays on Software Engineering", "month.jpg")); 18 | books.add(new Book("Steve Krug","Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability", "think.jpg")); 19 | 20 | return books; 21 | } 22 | } 23 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/servlet/BookServlet.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.servlet; 2 | 3 | import com.github.demo.model.Book; 4 | import com.github.demo.service.BookService; 5 | import com.github.demo.service.BookServiceException; 6 | 7 | import org.slf4j.Logger; 8 | import org.slf4j.LoggerFactory; 9 | import org.thymeleaf.TemplateEngine; 10 | import org.thymeleaf.context.WebContext; 11 | import org.thymeleaf.templateresolver.ServletContextTemplateResolver; 12 | 13 | import javax.servlet.ServletException; 14 | import javax.servlet.http.HttpServlet; 15 | import javax.servlet.http.HttpServletRequest; 16 | import javax.servlet.http.HttpServletResponse; 17 | import java.io.IOException; 18 | import java.util.Calendar; 19 | import java.util.List; 20 | import java.util.Properties; 21 | 22 | 23 | public class BookServlet extends HttpServlet { 24 | 25 | private static final long serialVersionUID = 1L; 26 | 27 | private static final Logger logger = LoggerFactory.getLogger(BookServlet.class); 28 | 29 | private BookService bookService; 30 | 31 | public BookServlet() throws Exception { 32 | logger.info("Starting Bookstore Servlet..."); 33 | try { 34 | bookService = new BookService(); 35 | } catch (BookServiceException e) { 36 | logger.error("Failed to instantiate BookService: " + e.getMessage()); 37 | throw e; 38 | } 39 | } 40 | 41 | @Override 42 | public void doPost(HttpServletRequest req, HttpServletResponse resp) 43 | throws ServletException, IOException { 44 | doGet(req, resp); 45 | } 46 | 47 | @Override 48 | protected void doGet(HttpServletRequest req, HttpServletResponse resp) 49 | throws ServletException, IOException { 50 | 51 | Properties versionProperties = new Properties(); 52 | versionProperties.load(getClass().getResourceAsStream("/version.properties")); 53 | 54 | ServletContextTemplateResolver resolver = new ServletContextTemplateResolver(req.getServletContext()); 55 | resolver.setPrefix("/"); 56 | resolver.setSuffix(".html"); 57 | 58 | TemplateEngine engine = new TemplateEngine(); 59 | engine.setTemplateResolver(resolver); 60 | 61 | WebContext ctx = new WebContext(req, resp, getServletContext(), req.getLocale()); 62 | ctx.setVariable("modified", Calendar.getInstance()); 63 | ctx.setVariable("version", versionProperties.getProperty("version")); 64 | 65 | resp.setContentType("text/html; charset=UTF-8"); 66 | 67 | try { 68 | List books = bookService.getBooks(); 69 | ctx.setVariable("books", books); 70 | engine.process("books", ctx, resp.getWriter()); 71 | } catch (BookServiceException e) { 72 | ctx.setVariable("error", e.getMessage()); 73 | engine.process("error", ctx, resp.getWriter()); 74 | } 75 | } 76 | } 77 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/java/com/github/demo/servlet/StatusServlet.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.servlet; 2 | 3 | import javax.servlet.ServletException; 4 | import javax.servlet.http.HttpServlet; 5 | import javax.servlet.http.HttpServletRequest; 6 | import javax.servlet.http.HttpServletResponse; 7 | import java.io.IOException; 8 | 9 | /** 10 | * A status page servlet that will report success if the application has been instantiated. 11 | * this provides a useful status check for containers and deployment purposes. 12 | */ 13 | public class StatusServlet extends HttpServlet { 14 | 15 | private static final long serialVersionUID = 1L; 16 | 17 | public StatusServlet() { 18 | } 19 | 20 | protected void doGet(HttpServletRequest req, HttpServletResponse resp) 21 | throws ServletException, IOException { 22 | 23 | resp.setContentType("text/html; charset=UTF-8"); 24 | resp.getWriter().write("ok"); 25 | } 26 | } 27 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/resources/log4j2.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/resources/version.properties: -------------------------------------------------------------------------------- 1 | version=${project.version} -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/books.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 34 | 35 | 36 | 37 | 61 | 62 |
63 |
64 |
65 | 66 | 67 | 68 | 70 | 71 | 72 |
73 |
74 | 86 | 87 | 92 | 93 | 94 | 95 |
69 |
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76 | 79 |
80 |

[[${book.title}]]

81 |
by [[${book.author}]]
82 | Status: In Stock 83 |
84 |
85 | 		$13.99 88 | 91 |
96 |
97 |
98 |
99 | 100 |
101 |

From with

102 |
Get favorites: 103 | 104 | 105 |
106 |
107 |

108 |
109 |
110 | 111 | 112 | 113 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/books_de.properties: -------------------------------------------------------------------------------- 1 | books.title=Es ist Zeit zu lesen! 2 | books.intro=Mitarbeiter Favoriten: 3 | books.by=durch 4 | books.modified=Zuletzt ge\u00E4ndert -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/books_en.properties: -------------------------------------------------------------------------------- 1 | books.title=It''s time to read! 2 | books.intro=Staff favorites: 3 | books.by=by 4 | books.modified=Last updated 5 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/books_fr.properties: -------------------------------------------------------------------------------- 1 | # escaped special chaarcters as properties files by 2 | # default use latin-1 to be compatible with Java 5 3 | books.title=Il est temps de lire! 4 | books.intro=Favoris du personnel: 5 | books.by=avec 6 | books.modified=Derni\u00E8re mise \u00E0 jour 7 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/books_nl.properties: -------------------------------------------------------------------------------- 1 | books.title=Het is tijd om te lezen! 2 | books.intro=Favorieten van het personeel: 3 | books.by=door 4 | books.modified=Laatst gewijzigd -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/bootstrap-3.4.1-dist/css/bootstrap-theme.css: -------------------------------------------------------------------------------- 1 | /*! 2 | * Bootstrap v3.4.1 (https://getbootstrap.com/) 3 | * Copyright 2011-2019 Twitter, Inc. 4 | * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) 5 | */ 6 | .btn-default, 7 | .btn-primary, 8 | .btn-success, 9 | .btn-info, 10 | .btn-warning, 11 | .btn-danger { 12 | text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2); 13 | -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075); 14 | box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075); 15 | } 16 | .btn-default:active, 17 | .btn-primary:active, 18 | .btn-success:active, 19 | .btn-info:active, 20 | .btn-warning:active, 21 | .btn-danger:active, 22 | .btn-default.active, 23 | .btn-primary.active, 24 | .btn-success.active, 25 | .btn-info.active, 26 | .btn-warning.active, 27 | .btn-danger.active { 28 | -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); 29 | box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); 30 | } 31 | .btn-default.disabled, 32 | .btn-primary.disabled, 33 | .btn-success.disabled, 34 | .btn-info.disabled, 35 | .btn-warning.disabled, 36 | .btn-danger.disabled, 37 | .btn-default[disabled], 38 | .btn-primary[disabled], 39 | .btn-success[disabled], 40 | .btn-info[disabled], 41 | .btn-warning[disabled], 42 | .btn-danger[disabled], 43 | fieldset[disabled] .btn-default, 44 | fieldset[disabled] .btn-primary, 45 | fieldset[disabled] .btn-success, 46 | fieldset[disabled] .btn-info, 47 | fieldset[disabled] .btn-warning, 48 | fieldset[disabled] .btn-danger { 49 | -webkit-box-shadow: none; 50 | box-shadow: none; 51 | } 52 | .btn-default .badge, 53 | .btn-primary .badge, 54 | .btn-success .badge, 55 | .btn-info .badge, 56 | .btn-warning .badge, 57 | .btn-danger .badge { 58 | text-shadow: none; 59 | } 60 | .btn:active, 61 | .btn.active { 62 | background-image: none; 63 | } 64 | .btn-default { 65 | background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%); 66 | background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%); 67 | background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#e0e0e0)); 68 | background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%); 69 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0); 70 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 71 | background-repeat: repeat-x; 72 | border-color: #dbdbdb; 73 | text-shadow: 0 1px 0 #fff; 74 | border-color: #ccc; 75 | } 76 | .btn-default:hover, 77 | .btn-default:focus { 78 | background-color: #e0e0e0; 79 | background-position: 0 -15px; 80 | } 81 | .btn-default:active, 82 | .btn-default.active { 83 | background-color: #e0e0e0; 84 | border-color: #dbdbdb; 85 | } 86 | .btn-default.disabled, 87 | .btn-default[disabled], 88 | fieldset[disabled] .btn-default, 89 | .btn-default.disabled:hover, 90 | .btn-default[disabled]:hover, 91 | fieldset[disabled] .btn-default:hover, 92 | .btn-default.disabled:focus, 93 | .btn-default[disabled]:focus, 94 | fieldset[disabled] .btn-default:focus, 95 | .btn-default.disabled.focus, 96 | .btn-default[disabled].focus, 97 | fieldset[disabled] .btn-default.focus, 98 | .btn-default.disabled:active, 99 | .btn-default[disabled]:active, 100 | fieldset[disabled] .btn-default:active, 101 | .btn-default.disabled.active, 102 | .btn-default[disabled].active, 103 | fieldset[disabled] .btn-default.active { 104 | background-color: #e0e0e0; 105 | background-image: none; 106 | } 107 | .btn-primary { 108 | background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%); 109 | background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%); 110 | background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#265a88)); 111 | background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%); 112 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0); 113 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 114 | background-repeat: repeat-x; 115 | border-color: #245580; 116 | } 117 | .btn-primary:hover, 118 | .btn-primary:focus { 119 | background-color: #265a88; 120 | background-position: 0 -15px; 121 | } 122 | .btn-primary:active, 123 | .btn-primary.active { 124 | background-color: #265a88; 125 | border-color: #245580; 126 | } 127 | .btn-primary.disabled, 128 | .btn-primary[disabled], 129 | fieldset[disabled] .btn-primary, 130 | .btn-primary.disabled:hover, 131 | .btn-primary[disabled]:hover, 132 | fieldset[disabled] .btn-primary:hover, 133 | .btn-primary.disabled:focus, 134 | .btn-primary[disabled]:focus, 135 | fieldset[disabled] .btn-primary:focus, 136 | .btn-primary.disabled.focus, 137 | .btn-primary[disabled].focus, 138 | fieldset[disabled] .btn-primary.focus, 139 | .btn-primary.disabled:active, 140 | .btn-primary[disabled]:active, 141 | fieldset[disabled] .btn-primary:active, 142 | .btn-primary.disabled.active, 143 | .btn-primary[disabled].active, 144 | fieldset[disabled] .btn-primary.active { 145 | background-color: #265a88; 146 | background-image: none; 147 | } 148 | .btn-success { 149 | background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%); 150 | background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%); 151 | background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#419641)); 152 | background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%); 153 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0); 154 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 155 | background-repeat: repeat-x; 156 | border-color: #3e8f3e; 157 | } 158 | .btn-success:hover, 159 | .btn-success:focus { 160 | background-color: #419641; 161 | background-position: 0 -15px; 162 | } 163 | .btn-success:active, 164 | .btn-success.active { 165 | background-color: #419641; 166 | border-color: #3e8f3e; 167 | } 168 | .btn-success.disabled, 169 | .btn-success[disabled], 170 | fieldset[disabled] .btn-success, 171 | .btn-success.disabled:hover, 172 | .btn-success[disabled]:hover, 173 | fieldset[disabled] .btn-success:hover, 174 | .btn-success.disabled:focus, 175 | .btn-success[disabled]:focus, 176 | fieldset[disabled] .btn-success:focus, 177 | .btn-success.disabled.focus, 178 | .btn-success[disabled].focus, 179 | fieldset[disabled] .btn-success.focus, 180 | .btn-success.disabled:active, 181 | .btn-success[disabled]:active, 182 | fieldset[disabled] .btn-success:active, 183 | .btn-success.disabled.active, 184 | .btn-success[disabled].active, 185 | fieldset[disabled] .btn-success.active { 186 | background-color: #419641; 187 | background-image: none; 188 | } 189 | .btn-info { 190 | background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%); 191 | background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%); 192 | background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#2aabd2)); 193 | background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%); 194 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0); 195 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 196 | background-repeat: repeat-x; 197 | border-color: #28a4c9; 198 | } 199 | .btn-info:hover, 200 | .btn-info:focus { 201 | background-color: #2aabd2; 202 | background-position: 0 -15px; 203 | } 204 | .btn-info:active, 205 | .btn-info.active { 206 | background-color: #2aabd2; 207 | border-color: #28a4c9; 208 | } 209 | .btn-info.disabled, 210 | .btn-info[disabled], 211 | fieldset[disabled] .btn-info, 212 | .btn-info.disabled:hover, 213 | .btn-info[disabled]:hover, 214 | fieldset[disabled] .btn-info:hover, 215 | .btn-info.disabled:focus, 216 | .btn-info[disabled]:focus, 217 | fieldset[disabled] .btn-info:focus, 218 | .btn-info.disabled.focus, 219 | .btn-info[disabled].focus, 220 | fieldset[disabled] .btn-info.focus, 221 | .btn-info.disabled:active, 222 | .btn-info[disabled]:active, 223 | fieldset[disabled] .btn-info:active, 224 | .btn-info.disabled.active, 225 | .btn-info[disabled].active, 226 | fieldset[disabled] .btn-info.active { 227 | background-color: #2aabd2; 228 | background-image: none; 229 | } 230 | .btn-warning { 231 | background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%); 232 | background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%); 233 | background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#eb9316)); 234 | background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%); 235 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0); 236 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 237 | background-repeat: repeat-x; 238 | border-color: #e38d13; 239 | } 240 | .btn-warning:hover, 241 | .btn-warning:focus { 242 | background-color: #eb9316; 243 | background-position: 0 -15px; 244 | } 245 | .btn-warning:active, 246 | .btn-warning.active { 247 | background-color: #eb9316; 248 | border-color: #e38d13; 249 | } 250 | .btn-warning.disabled, 251 | .btn-warning[disabled], 252 | fieldset[disabled] .btn-warning, 253 | .btn-warning.disabled:hover, 254 | .btn-warning[disabled]:hover, 255 | fieldset[disabled] .btn-warning:hover, 256 | .btn-warning.disabled:focus, 257 | .btn-warning[disabled]:focus, 258 | fieldset[disabled] .btn-warning:focus, 259 | .btn-warning.disabled.focus, 260 | .btn-warning[disabled].focus, 261 | fieldset[disabled] .btn-warning.focus, 262 | .btn-warning.disabled:active, 263 | .btn-warning[disabled]:active, 264 | fieldset[disabled] .btn-warning:active, 265 | .btn-warning.disabled.active, 266 | .btn-warning[disabled].active, 267 | fieldset[disabled] .btn-warning.active { 268 | background-color: #eb9316; 269 | background-image: none; 270 | } 271 | .btn-danger { 272 | background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%); 273 | background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%); 274 | background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c12e2a)); 275 | background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%); 276 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0); 277 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 278 | background-repeat: repeat-x; 279 | border-color: #b92c28; 280 | } 281 | .btn-danger:hover, 282 | .btn-danger:focus { 283 | background-color: #c12e2a; 284 | background-position: 0 -15px; 285 | } 286 | .btn-danger:active, 287 | .btn-danger.active { 288 | background-color: #c12e2a; 289 | border-color: #b92c28; 290 | } 291 | .btn-danger.disabled, 292 | .btn-danger[disabled], 293 | fieldset[disabled] .btn-danger, 294 | .btn-danger.disabled:hover, 295 | .btn-danger[disabled]:hover, 296 | fieldset[disabled] .btn-danger:hover, 297 | .btn-danger.disabled:focus, 298 | .btn-danger[disabled]:focus, 299 | fieldset[disabled] .btn-danger:focus, 300 | .btn-danger.disabled.focus, 301 | .btn-danger[disabled].focus, 302 | fieldset[disabled] .btn-danger.focus, 303 | .btn-danger.disabled:active, 304 | .btn-danger[disabled]:active, 305 | fieldset[disabled] .btn-danger:active, 306 | .btn-danger.disabled.active, 307 | .btn-danger[disabled].active, 308 | fieldset[disabled] .btn-danger.active { 309 | background-color: #c12e2a; 310 | background-image: none; 311 | } 312 | .thumbnail, 313 | .img-thumbnail { 314 | -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); 315 | box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); 316 | } 317 | .dropdown-menu > li > a:hover, 318 | .dropdown-menu > li > a:focus { 319 | background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); 320 | background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); 321 | background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8)); 322 | background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%); 323 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0); 324 | background-repeat: repeat-x; 325 | background-color: #e8e8e8; 326 | } 327 | .dropdown-menu > .active > a, 328 | .dropdown-menu > .active > a:hover, 329 | .dropdown-menu > .active > a:focus { 330 | background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%); 331 | background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%); 332 | background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4)); 333 | background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%); 334 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0); 335 | background-repeat: repeat-x; 336 | background-color: #2e6da4; 337 | } 338 | .navbar-default { 339 | background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%); 340 | background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%); 341 | background-image: -webkit-gradient(linear, left top, left bottom, from(#ffffff), to(#f8f8f8)); 342 | background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%); 343 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0); 344 | background-repeat: repeat-x; 345 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 346 | border-radius: 4px; 347 | -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075); 348 | box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075); 349 | } 350 | .navbar-default .navbar-nav > .open > a, 351 | .navbar-default .navbar-nav > .active > a { 352 | background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%); 353 | background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%); 354 | background-image: -webkit-gradient(linear, left top, left bottom, from(#dbdbdb), to(#e2e2e2)); 355 | background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%); 356 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0); 357 | background-repeat: repeat-x; 358 | -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075); 359 | box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075); 360 | } 361 | .navbar-brand, 362 | .navbar-nav > li > a { 363 | text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25); 364 | } 365 | .navbar-inverse { 366 | background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%); 367 | background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%); 368 | background-image: -webkit-gradient(linear, left top, left bottom, from(#3c3c3c), to(#222)); 369 | background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%); 370 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0); 371 | background-repeat: repeat-x; 372 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); 373 | border-radius: 4px; 374 | } 375 | .navbar-inverse .navbar-nav > .open > a, 376 | .navbar-inverse .navbar-nav > .active > a { 377 | background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%); 378 | background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%); 379 | background-image: -webkit-gradient(linear, left top, left bottom, from(#080808), to(#0f0f0f)); 380 | background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%); 381 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0); 382 | background-repeat: repeat-x; 383 | -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25); 384 | box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25); 385 | } 386 | .navbar-inverse .navbar-brand, 387 | .navbar-inverse .navbar-nav > li > a { 388 | text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25); 389 | } 390 | .navbar-static-top, 391 | .navbar-fixed-top, 392 | .navbar-fixed-bottom { 393 | border-radius: 0; 394 | } 395 | @media (max-width: 767px) { 396 | .navbar .navbar-nav .open .dropdown-menu > .active > a, 397 | .navbar .navbar-nav .open .dropdown-menu > .active > a:hover, 398 | .navbar .navbar-nav .open .dropdown-menu > .active > a:focus { 399 | color: #fff; 400 | background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%); 401 | background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%); 402 | background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4)); 403 | background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%); 404 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0); 405 | background-repeat: repeat-x; 406 | } 407 | } 408 | .alert { 409 | text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2); 410 | -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05); 411 | box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05); 412 | } 413 | .alert-success { 414 | background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%); 415 | background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%); 416 | background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#c8e5bc)); 417 | background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%); 418 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0); 419 | background-repeat: repeat-x; 420 | border-color: #b2dba1; 421 | } 422 | .alert-info { 423 | background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%); 424 | background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%); 425 | background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#b9def0)); 426 | background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%); 427 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0); 428 | background-repeat: repeat-x; 429 | border-color: #9acfea; 430 | } 431 | .alert-warning { 432 | background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%); 433 | background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%); 434 | background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#f8efc0)); 435 | background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%); 436 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0); 437 | background-repeat: repeat-x; 438 | border-color: #f5e79e; 439 | } 440 | .alert-danger { 441 | background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%); 442 | background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%); 443 | background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#e7c3c3)); 444 | background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%); 445 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0); 446 | background-repeat: repeat-x; 447 | border-color: #dca7a7; 448 | } 449 | .progress { 450 | background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%); 451 | background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%); 452 | background-image: -webkit-gradient(linear, left top, left bottom, from(#ebebeb), to(#f5f5f5)); 453 | background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%); 454 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0); 455 | background-repeat: repeat-x; 456 | } 457 | .progress-bar { 458 | background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%); 459 | background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%); 460 | background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#286090)); 461 | background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%); 462 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0); 463 | background-repeat: repeat-x; 464 | } 465 | .progress-bar-success { 466 | background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%); 467 | background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%); 468 | background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#449d44)); 469 | background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%); 470 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0); 471 | background-repeat: repeat-x; 472 | } 473 | .progress-bar-info { 474 | background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%); 475 | background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%); 476 | background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#31b0d5)); 477 | background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%); 478 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0); 479 | background-repeat: repeat-x; 480 | } 481 | .progress-bar-warning { 482 | background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%); 483 | background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%); 484 | background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#ec971f)); 485 | background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%); 486 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0); 487 | background-repeat: repeat-x; 488 | } 489 | .progress-bar-danger { 490 | background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%); 491 | background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%); 492 | background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c9302c)); 493 | background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%); 494 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0); 495 | background-repeat: repeat-x; 496 | } 497 | .progress-bar-striped { 498 | background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); 499 | background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); 500 | background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); 501 | } 502 | .list-group { 503 | border-radius: 4px; 504 | -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); 505 | box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075); 506 | } 507 | .list-group-item.active, 508 | .list-group-item.active:hover, 509 | .list-group-item.active:focus { 510 | text-shadow: 0 -1px 0 #286090; 511 | background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%); 512 | background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%); 513 | background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2b669a)); 514 | background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%); 515 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0); 516 | background-repeat: repeat-x; 517 | border-color: #2b669a; 518 | } 519 | .list-group-item.active .badge, 520 | .list-group-item.active:hover .badge, 521 | .list-group-item.active:focus .badge { 522 | text-shadow: none; 523 | } 524 | .panel { 525 | -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); 526 | box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); 527 | } 528 | .panel-default > .panel-heading { 529 | background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); 530 | background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%); 531 | background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8)); 532 | background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%); 533 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0); 534 | background-repeat: repeat-x; 535 | } 536 | .panel-primary > .panel-heading { 537 | background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%); 538 | background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%); 539 | background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4)); 540 | background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%); 541 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0); 542 | background-repeat: repeat-x; 543 | } 544 | .panel-success > .panel-heading { 545 | background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%); 546 | background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%); 547 | background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#d0e9c6)); 548 | background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%); 549 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0); 550 | background-repeat: repeat-x; 551 | } 552 | .panel-info > .panel-heading { 553 | background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%); 554 | background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%); 555 | background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#c4e3f3)); 556 | background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%); 557 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0); 558 | background-repeat: repeat-x; 559 | } 560 | .panel-warning > .panel-heading { 561 | background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%); 562 | background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%); 563 | background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#faf2cc)); 564 | 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-------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/images/invertocat.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 14 | 15 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/images/octocat.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ahmedbham/azure-openai-api-levelup/dfe9cc488703d3547f88da47d5918b1407e3c8f7/tools/deploy/module3/src/main/webapp/static/images/octocat.png -------------------------------------------------------------------------------- /tools/deploy/module3/src/main/webapp/static/images/star.png: -------------------------------------------------------------------------------- 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Assert.assertEquals("Slapstick",book.getTitle()); 26 | } 27 | 28 | @Test 29 | public void testGetCover() { 30 | book.setCover("slapstick.jpg"); 31 | Assert.assertEquals("slapstick.jpg", book.getCover()); 32 | } 33 | 34 | @Test 35 | public void testGetDetails() { 36 | String details = book.getDetails(); 37 | Assert.assertNotNull(details); 38 | } 39 | 40 | @Before 41 | public void setUp() throws Exception { 42 | book = new Book(); 43 | book.setAuthor("Kurt Vonnegut"); 44 | book.setTitle("Slapstick"); 45 | } 46 | 47 | @After 48 | public void tearDown() { 49 | book = null; 50 | } 51 | } 52 | -------------------------------------------------------------------------------- /tools/deploy/module3/src/test/java/com/github/demo/service/BookServiceTest.java: -------------------------------------------------------------------------------- 1 | package com.github.demo.service; 2 | 3 | import com.github.demo.model.Book; 4 | import org.junit.After; 5 | import org.junit.Before; 6 | import org.junit.Test; 7 | 8 | import java.util.List; 9 | 10 | import static org.junit.Assert.assertEquals; 11 | 12 | /** 13 | * Unit test for BookService 14 | */ 15 | public class BookServiceTest { 16 | 17 | // Testing API token key 18 | private static final String API_TOKEN = "AIzaSyAQfxPJiounkhOjODEO5ZieffeBv6yft2Q"; 19 | 20 | private BookService bookService; 21 | 22 | @Test 23 | public void testGetBooks() throws BookServiceException { 24 | List books = bookService.getBooks(); 25 | assertEquals("list length should be 6", 6, books.size()); 26 | } 27 | 28 | @Before 29 | public void setUp() throws Exception{ 30 | bookService = new BookService(); 31 | } 32 | 33 | @After 34 | public void tearDown() { 35 | bookService = null; 36 | } 37 | 38 | } 39 | --------------------------------------------------------------------------------