├── .devcontainer └── devcontainer.json ├── .env.template ├── .github ├── CODE_OF_CONDUCT.md ├── ISSUE_TEMPLATE.md ├── PULL_REQUEST_TEMPLATE.md └── workflows │ ├── azure-dev.yml │ └── docker-image.yml ├── .gitignore ├── .vscode ├── extensions.json ├── launch.json ├── settings.json └── tasks.json ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── api_documentation.md ├── azure.yaml ├── demo ├── .DS_Store ├── default-dataset │ ├── Invoice Sample.pdf │ ├── eval_data.jsonl │ ├── evaluation_schema.json │ ├── ground_truth.json │ ├── ground_truth_with_evaluators.json │ ├── output_schema.json │ ├── output_schema_empty.json │ └── system_prompt.txt └── medical-dataset │ ├── eyes_surgery_pre_1_4.pdf │ ├── output_schema.json │ └── system_prompt.txt ├── docs └── ArchitectureOverview.png ├── frontend ├── .deployment ├── .dockerignore ├── .env.temp ├── .gitignore ├── Dockerfile ├── app.py ├── backend_client.py ├── concurrency_management.py ├── concurrency_settings.py ├── document_chat.py ├── explore_data.py ├── instructions.py ├── process_files.py ├── requirements.txt ├── settings.py └── static │ └── logo.png ├── infra ├── abbreviations.json ├── main-containerapp.bicep ├── main-containerapp.parameters.json ├── main.bicep └── main.parameters.json ├── notebooks ├── .env.temp ├── README.md ├── evaluator.ipynb ├── output.json ├── outputs │ ├── output_07_31.15.32.50.json │ ├── output_07_31.15.32.50_randomized-1.json │ ├── output_07_31.15.32.50_randomized-2.json │ ├── output_07_31.15.32.50_randomized-3.json │ └── output_08_07.15.33.41.json └── requirements.txt ├── sample-invoice.pdf └── src ├── __init__.py ├── containerapp ├── Dockerfile ├── REFACTORING_SUMMARY.md ├── ai_ocr │ ├── azure │ │ ├── config.py │ │ ├── doc_intelligence.py │ │ ├── images.py │ │ └── openai_ops.py │ ├── chains.py │ ├── model.py │ ├── process.py │ └── timeout.py ├── api_routes.py ├── blob_processing.py ├── datasets │ └── default-dataset │ │ └── demo.docx ├── dependencies.py ├── evaluators │ ├── __init__.py │ ├── cosine_similarity_string_evaluator.py │ ├── custom_string_evaluator.py │ ├── field_evaluator_base.py │ ├── fuzz_string_evaluator.py │ ├── json_evaluator.py │ └── tests │ │ ├── __init__.py │ │ ├── test_custom_string_evaluator.py │ │ └── test_json_evaluator.py ├── example-datasets │ ├── default-dataset │ │ ├── output_schema.json │ │ └── system_prompt.txt │ └── medical-dataset │ │ ├── output_schema.json │ │ └── system_prompt.txt ├── logic_app_manager.py ├── main.py ├── main_local.py ├── models.py └── requirements.txt └── evaluators ├── __init__.py ├── cosine_similarity_string_evaluator.py ├── custom_string_evaluator.py ├── field_evaluator_base.py ├── fuzz_string_evaluator.py ├── json_evaluator.py └── tests ├── __init__.py ├── test_custom_string_evaluator.py └── test_json_evaluator.py /.devcontainer/devcontainer.json: -------------------------------------------------------------------------------- 1 | { 2 | "image": "mcr.microsoft.com/devcontainers/python:3", 3 | "features": { 4 | "ghcr.io/devcontainers/features/azure-cli:1": {}, 5 | "ghcr.io/azure/azure-dev/azd:0": {}, 6 | "ghcr.io/devcontainers/features/github-cli:1": {}, 7 | "ghcr.io/devcontainers/features/node:1": {}, 8 | "ghcr.io/devcontainers/features/docker-in-docker:2": {} 9 | }, 10 | "customizations": { 11 | "vscode": { 12 | "extensions": [ 13 | "GitHub.remotehub", 14 | "GitHub.copilot", 15 | "GitHub.copilot-chat", 16 | "github.vscode-pull-request-github", 17 | "ms-vscode.vscode-node-azure-pack", 18 | "ms-toolsai.jupyter", 19 | "ms-azuretools.azure-dev", 20 | "ms-azuretools.vscode-bicep", 21 | "ms-vscode.powershell", 22 | "ms-vscode-remote.vscode-remote-extensionpack", 23 | "tomoki1207.pdf", 24 | "redhat.vscode-yaml", 25 | "formulahendry.azure-storage-explorer", 26 | "ms-azuretools.vscode-docker", 27 | "ms-azuretools.vscode-azureresourcegroups", 28 | "ms-azuretools.vscode-azurestorage", 29 | "ms-azuretools.vscode-azure-github-copilot", 30 | "ms-vscode-remote.remote-containers", 31 | "ms-python.black-formatter", 32 | "ms-azuretools.vscode-azurefunctions" 33 | ] 34 | } 35 | }, 36 | // Add your own post creation commands here 37 | // Add the Python packages that you use to requirements.txt 38 | "postCreateCommand": "sudo apt update && pip install --upgrade pip && pip install -r frontend/requirements.txt" 39 | } 40 | 41 | -------------------------------------------------------------------------------- /.env.template: -------------------------------------------------------------------------------- 1 | # Environment variables for ARGUS Container App deployment 2 | # Copy this file to .env and fill in your values 3 | 4 | # Azure Subscription and Resource Group 5 | AZURE_SUBSCRIPTION_ID=your-subscription-id-here 6 | AZURE_RESOURCE_GROUP_NAME=rg-argus-containerapp 7 | AZURE_LOCATION=eastus2 8 | 9 | # Azure Environment (for azd) 10 | AZURE_ENV_NAME=argus-dev 11 | AZURE_PRINCIPAL_ID=your-user-principal-id 12 | 13 | # Azure Container App Configuration 14 | AZURE_CONTAINER_APP_NAME=ca-argus 15 | 16 | # Azure OpenAI Configuration 17 | AZURE_OPENAI_ENDPOINT=https://your-openai-account.openai.azure.com/ 18 | AZURE_OPENAI_KEY=your-openai-api-key 19 | AZURE_OPENAI_MODEL_DEPLOYMENT_NAME=gpt-4 20 | 21 | # To get your Principal ID, run: 22 | # az ad signed-in-user show --query id --output tsv 23 | 24 | # To get your Subscription ID, run: 25 | # az account show --query id --output tsv 26 | -------------------------------------------------------------------------------- /.github/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 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE.md: -------------------------------------------------------------------------------- 1 | 4 | > Please provide us with the following information: 5 | > --------------------------------------------------------------- 6 | 7 | ### This issue is for a: (mark with an `x`) 8 | ``` 9 | - [ ] bug report -> please search issues before submitting 10 | - [ ] feature request 11 | - [ ] documentation issue or request 12 | - [ ] regression (a behavior that used to work and stopped in a new release) 13 | ``` 14 | 15 | ### Minimal steps to reproduce 16 | > 17 | 18 | ### Any log messages given by the failure 19 | > 20 | 21 | ### Expected/desired behavior 22 | > 23 | 24 | ### OS and Version? 25 | > Windows 7, 8 or 10. Linux (which distribution). macOS (Yosemite? El Capitan? Sierra?) 26 | 27 | ### Versions 28 | > 29 | 30 | ### Mention any other details that might be useful 31 | 32 | > --------------------------------------------------------------- 33 | > Thanks! We'll be in touch soon. 34 | -------------------------------------------------------------------------------- /.github/PULL_REQUEST_TEMPLATE.md: -------------------------------------------------------------------------------- 1 | ## Purpose 2 | 3 | * ... 4 | 5 | ## Does this introduce a breaking change? 6 | 7 | ``` 8 | [ ] Yes 9 | [ ] No 10 | ``` 11 | 12 | ## Pull Request Type 13 | What kind of change does this Pull Request introduce? 14 | 15 | 16 | ``` 17 | [ ] Bugfix 18 | [ ] Feature 19 | [ ] Code style update (formatting, local variables) 20 | [ ] Refactoring (no functional changes, no api changes) 21 | [ ] Documentation content changes 22 | [ ] Other... Please describe: 23 | ``` 24 | 25 | ## How to Test 26 | * Get the code 27 | 28 | ``` 29 | git clone [repo-address] 30 | cd [repo-name] 31 | git checkout [branch-name] 32 | npm install 33 | ``` 34 | 35 | * Test the code 36 | 37 | ``` 38 | ``` 39 | 40 | ## What to Check 41 | Verify that the following are valid 42 | * ... 43 | 44 | ## Other Information 45 | -------------------------------------------------------------------------------- /.github/workflows/azure-dev.yml: -------------------------------------------------------------------------------- 1 | on: 2 | workflow_dispatch: 3 | # Uncomment the below line to run the workflow on commit 4 | # push: 5 | # # Run when commits are pushed to mainline branch 6 | # # Set this to the mainline branch you are using 7 | # branches: 8 | # - main 9 | 10 | # Set this permission if you are using a Federated Credential. 11 | permissions: 12 | id-token: write 13 | contents: read 14 | 15 | jobs: 16 | build: 17 | runs-on: ubuntu-latest 18 | # azd build-in variables. 19 | # This variables are always set by `azd pipeline config` 20 | # You can set them as global env (apply to all steps) or you can add them to individual steps' environment 21 | env: 22 | AZURE_CLIENT_ID: ${{ vars.AZURE_CLIENT_ID }} 23 | AZURE_TENANT_ID: ${{ vars.AZURE_TENANT_ID }} 24 | AZURE_SUBSCRIPTION_ID: ${{ vars.AZURE_SUBSCRIPTION_ID }} 25 | AZURE_ENV_NAME: ${{ vars.AZURE_ENV_NAME }} 26 | AZURE_LOCATION: ${{ vars.AZURE_LOCATION }} 27 | ## Define the additional variables or secrets that are required globally (provision and deploy) 28 | steps: 29 | - name: Checkout 30 | uses: actions/checkout@v4 31 | 32 | # using the install-azd action 33 | - name: Install azd 34 | uses: Azure/setup-azd@v2.1.0 35 | 36 | # azd set up Federated Credential by default. You can remove this step if you are using Client Credentials 37 | - name: Log in with Azure (Federated Credentials) 38 | if: ${{ env.AZURE_CLIENT_ID != '' }} 39 | run: | 40 | azd auth login ` 41 | --client-id "$Env:AZURE_CLIENT_ID" ` 42 | --federated-credential-provider "github" ` 43 | --tenant-id "$Env:AZURE_TENANT_ID" 44 | shell: pwsh 45 | 46 | - name: Provision Infrastructure 47 | run: azd provision --no-prompt 48 | env: 49 | AZURE_RESOURCE_GROUP: ${{ vars.AZURE_RESOURCE_GROUP }} 50 | # uncomment this if you are using infrastructure parameters 51 | AZD_INITIAL_ENVIRONMENT_CONFIG: ${{ secrets.AZD_INITIAL_ENVIRONMENT_CONFIG }} 52 | ## Define the additional variables or secrets that are required only for provision 53 | 54 | - name: Deploy Application 55 | run: azd deploy --no-prompt 56 | # env: 57 | ## Define the additional variables or secrets that are required only for deploy -------------------------------------------------------------------------------- /.github/workflows/docker-image.yml: -------------------------------------------------------------------------------- 1 | name: Docker Image CI 2 | 3 | on: 4 | push: 5 | branches: [ "main" ] 6 | pull_request: 7 | branches: [ "main" ] 8 | 9 | jobs: 10 | 11 | docker-build: 12 | runs-on: ubuntu-latest 13 | steps: 14 | 15 | - name: Checkout 16 | uses: actions/checkout@v4 17 | 18 | - name: Docker Login 19 | uses: docker/login-action@v3 20 | with: 21 | registry: argus.azurecr.io 22 | username: argus 23 | password: ${{ secrets.DOCKER_PASSWORD }} 24 | 25 | - name: Set up Docker Buildx 26 | uses: docker/setup-buildx-action@v3 27 | 28 | - name: Get current date 29 | id: date 30 | run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT 31 | 32 | - name: Build Docker Image and optionally push 33 | uses: docker/build-push-action@v6 34 | with: 35 | context: . 36 | file: docker/backend.Dockerfile 37 | push: true 38 | cache-from: type=registry,ref=argus.azurecr.io/argus-backend:latest 39 | tags: | 40 | argus.azurecr.io/argus-backend:latest 41 | argus.azurecr.io/argus-backend:${{ steps.date.outputs.date }}_${{ github.run_number }} 42 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | 53 | # Translations 54 | *.mo 55 | *.pot 56 | 57 | # Django stuff: 58 | *.log 59 | local_settings.py 60 | db.sqlite3 61 | 62 | # Flask stuff: 63 | instance/ 64 | .webassets-cache 65 | 66 | # Scrapy stuff: 67 | .scrapy 68 | 69 | # Sphinx documentation 70 | docs/_build/ 71 | 72 | # PyBuilder 73 | target/ 74 | 75 | # Jupyter Notebook 76 | .ipynb_checkpoints 77 | 78 | # IPython 79 | profile_default/ 80 | ipython_config.py 81 | 82 | # pyenv 83 | .python-version 84 | 85 | # pipenv 86 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 87 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 88 | # having no cross-platform support, pipenv may install dependencies that don’t work, or not 89 | # install all needed dependencies. 90 | #Pipfile.lock 91 | 92 | # celery beat schedule file 93 | celerybeat-schedule 94 | 95 | # SageMath parsed files 96 | *.sage.py 97 | 98 | # Environments 99 | .env 100 | .venv 101 | .vscode/ 102 | .azure/ 103 | 104 | env/ 105 | venv/ 106 | ENV/ 107 | env.bak/ 108 | venv.bak/ 109 | 110 | # Spyder project settings 111 | .spyderproject 112 | .spyproject 113 | 114 | # Rope project settings 115 | .ropeproject 116 | 117 | # mkdocs documentation 118 | /site 119 | 120 | # mypy 121 | .mypy_cache/ 122 | .dmypy.json 123 | dmypy.json 124 | 125 | # Pyre type checker 126 | .pyre/ 127 | 128 | # Azure Functions artifacts 129 | bin 130 | obj 131 | appsettings.json 132 | local.settings.json 133 | 134 | # Azurite artifacts 135 | __blobstorage__ 136 | __queuestorage__ 137 | __azurite_db*__.json 138 | .python_packages 139 | # Azure deployment artifacts 140 | .azure/ 141 | .env 142 | .env.local 143 | 144 | # Test outputs 145 | *.log 146 | test-output/ 147 | 148 | # IDE 149 | .vscode/ 150 | .idea/ 151 | 152 | # Mac 153 | .DS_Store 154 | -------------------------------------------------------------------------------- /.vscode/extensions.json: -------------------------------------------------------------------------------- 1 | { 2 | "recommendations": [ 3 | "ms-azuretools.vscode-azurefunctions", 4 | "ms-python.python" 5 | ] 6 | } -------------------------------------------------------------------------------- /.vscode/launch.json: -------------------------------------------------------------------------------- 1 | { 2 | "version": "0.2.0", 3 | "configurations": [ 4 | { 5 | "name": "Attach to Python Functions", 6 | "type": "python", 7 | "request": "attach", 8 | "port": 9091, 9 | "preLaunchTask": "func: host start" 10 | } 11 | ] 12 | } -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "azureFunctions.deploySubpath": "src/functionapp", 3 | "azureFunctions.scmDoBuildDuringDeployment": true, 4 | "azureFunctions.pythonVenv": "${workspaceFolder}/venv", 5 | "azureFunctions.projectLanguage": "Python", 6 | "azureFunctions.projectRuntime": "~4", 7 | "debug.internalConsoleOptions": "neverOpen", 8 | "azureFunctions.projectLanguageModel": 2, 9 | "azureFunctions.projectSubpath": "src", 10 | "python.testing.unittestArgs": [ 11 | "-v", 12 | "-s", 13 | "./src", 14 | "-p", 15 | "test_*.py" 16 | ], 17 | "python.testing.pytestEnabled": false, 18 | "python.testing.unittestEnabled": true 19 | } -------------------------------------------------------------------------------- /.vscode/tasks.json: -------------------------------------------------------------------------------- 1 | { 2 | "version": "2.0.0", 3 | "tasks": [ 4 | { 5 | "type": "func", 6 | "label": "func: host start", 7 | "command": "host start", 8 | "problemMatcher": "$func-python-watch", 9 | "isBackground": true, 10 | "dependsOn": "pip install (functions)", 11 | "options": { 12 | "cwd": "${workspaceFolder}/src/functionapp" 13 | } 14 | }, 15 | { 16 | "label": "pip install (functions)", 17 | "type": "shell", 18 | "osx": { 19 | "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt" 20 | }, 21 | "windows": { 22 | "command": "${config:azureFunctions.pythonVenv}/Scripts/python -m pip install -r requirements.txt" 23 | }, 24 | "linux": { 25 | "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt" 26 | }, 27 | "problemMatcher": [], 28 | "options": { 29 | "cwd": "${workspaceFolder}/src/functionapp" 30 | } 31 | } 32 | ] 33 | } -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # Contributing to [project-title] 2 | 3 | This project welcomes contributions and suggestions. Most contributions require you to agree to a 4 | Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us 5 | the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com. 6 | 7 | When you submit a pull request, a CLA bot will automatically determine whether you need to provide 8 | a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions 9 | provided by the bot. You will only need to do this once across all repos using our CLA. 10 | 11 | This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). 12 | For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or 13 | contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. 14 | 15 | - [Code of Conduct](#coc) 16 | - [Issues and Bugs](#issue) 17 | - [Feature Requests](#feature) 18 | - [Submission Guidelines](#submit) 19 | 20 | ## Code of Conduct 21 | Help us keep this project open and inclusive. Please read and follow our [Code of Conduct](https://opensource.microsoft.com/codeofconduct/). 22 | 23 | ## Found an Issue? 24 | If you find a bug in the source code or a mistake in the documentation, you can help us by 25 | [submitting an issue](#submit-issue) to the GitHub Repository. Even better, you can 26 | [submit a Pull Request](#submit-pr) with a fix. 27 | 28 | ## Want a Feature? 29 | You can *request* a new feature by [submitting an issue](#submit-issue) to the GitHub 30 | Repository. If you would like to *implement* a new feature, please submit an issue with 31 | a proposal for your work first, to be sure that we can use it. 32 | 33 | * **Small Features** can be crafted and directly [submitted as a Pull Request](#submit-pr). 34 | 35 | ## Submission Guidelines 36 | 37 | ### Submitting an Issue 38 | Before you submit an issue, search the archive, maybe your question was already answered. 39 | 40 | If your issue appears to be a bug, and hasn't been reported, open a new issue. 41 | Help us to maximize the effort we can spend fixing issues and adding new 42 | features, by not reporting duplicate issues. Providing the following information will increase the 43 | chances of your issue being dealt with quickly: 44 | 45 | * **Overview of the Issue** - if an error is being thrown a non-minified stack trace helps 46 | * **Version** - what version is affected (e.g. 0.1.2) 47 | * **Motivation for or Use Case** - explain what are you trying to do and why the current behavior is a bug for you 48 | * **Browsers and Operating System** - is this a problem with all browsers? 49 | * **Reproduce the Error** - provide a live example or a unambiguous set of steps 50 | * **Related Issues** - has a similar issue been reported before? 51 | * **Suggest a Fix** - if you can't fix the bug yourself, perhaps you can point to what might be 52 | causing the problem (line of code or commit) 53 | 54 | You can file new issues by providing the above information at the corresponding repository's issues link: https://github.com/[organization-name]/[repository-name]/issues/new]. 55 | 56 | ### Submitting a Pull Request (PR) 57 | Before you submit your Pull Request (PR) consider the following guidelines: 58 | 59 | * Search the repository (https://github.com/[organization-name]/[repository-name]/pulls) for an open or closed PR 60 | that relates to your submission. You don't want to duplicate effort. 61 | 62 | * Make your changes in a new git fork: 63 | 64 | * Commit your changes using a descriptive commit message 65 | * Push your fork to GitHub: 66 | * In GitHub, create a pull request 67 | * If we suggest changes then: 68 | * Make the required updates. 69 | * Rebase your fork and force push to your GitHub repository (this will update your Pull Request): 70 | 71 | ```shell 72 | git rebase master -i 73 | git push -f 74 | ``` 75 | 76 | That's it! Thank you for your contribution! 77 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Azure Samples 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 | -------------------------------------------------------------------------------- /azure.yaml: -------------------------------------------------------------------------------- 1 | name: argus 2 | metadata: 3 | template: containerapp-python@latest 4 | infra: 5 | provider: bicep 6 | path: infra 7 | services: 8 | backend: 9 | project: src/containerapp 10 | language: python 11 | host: containerapp 12 | frontend: 13 | project: frontend 14 | language: python 15 | host: containerapp 16 | -------------------------------------------------------------------------------- /demo/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/demo/.DS_Store -------------------------------------------------------------------------------- /demo/default-dataset/Invoice Sample.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/demo/default-dataset/Invoice Sample.pdf -------------------------------------------------------------------------------- /demo/default-dataset/eval_data.jsonl: -------------------------------------------------------------------------------- 1 | {"ground_truth": {"Customer Name": "Happiest Valley Farms", "Invoice Number": "1234", "Date": "November 30, 2022", "Billing info": {"Customer": "Henry Ross", "Customer ID": "8675309", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Payment Due": "December 30, 2022", "Salesperson": "Luca Richter", "Payment Terms": "Cash or check", "Shipping info": {"Recipient": "Henry Ross", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Delivery Date": "December 7, 2022", "Shipping Method": "Ground", "Shipping Terms": "Returns not accepted", "Table": {"Items": [{"Qty": 10, "Item#": 123, "Description": "Baby chicks", "Unit price": 5.0, "Discount": "10%", "Line total": 45.0}, {"Qty": 2, "Item#": 444, "Description": "Heat lamps", "Discount": "", "Unit price": 24.0, "Line total": 48.0}, {"Qty": 6, "Item#": 120, "Description": "Chicken roosts", "Discount": "", "Unit price": 30.0, "Line total": 180.0}], "Total Discount": 5.0, "Subtotal": 278.0, "Sales Tax": 13.9, "Total": 286.9}, "Footer": {"Customer Name": "Happiest Valley Farms", "Address": "456 Anyroad, Anywhere", "Website": "interstingsite.com", "Phone number": "(123)987-6543", "Fax number": "(123)987-6542", "Email": "happiest@example.com"}}, "actual": {"Customer Name": "Henry Ross", "Invoice Number": "1234", "Date": "November 30, 2022", "Billing info": {"Customer": "Henry Ross", "Customer ID": "8675309", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Payment Due": "December 30, 2022", "Salesperson": "Luca Richter", "Payment Terms": "Cash or check", "Shipping info": {"Recipient": "Henry Ross", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Delivery Date": "December 7, 2022", "Shipping Method": "Ground", "Shipping Terms": "Returns not accepted", "Table": {"Items": [{"Qty": "10", "Item#": "123", "Description": "Baby chicks", "Unit price": "5.00", "Discount": "10%", "Line total": "45.00"}, {"Qty": "2", "Item#": "444", "Description": "Heat lamps", "Unit price": "24.00", "Discount": "", "Line total": "48.00"}, {"Qty": "6", "Item#": "120", "Description": "Chicken roosts", "Unit price": "30.00", "Discount": "", "Line total": "180.00"}], "Total Discount": "5.00", "Subtotal": "278.00", "Sales Tax": "13.90", "Total": "286.90"}, "Footer": {"Customer Name": "Happiest Valley Farms", "Address": "456 Anyroad, Anywhere", "Website": "interestingsite.com", "Phone number": "(123) 987-6543", "Fax number": "(123) 987-6542", "Email": "happiest@example.com"}}, "eval_schema": {"Customer Name": {"CustomStringEvaluator": {"IGNORE_DOTS": "True"}}, "Invoice Number": {"CustomStringEvaluator": {"IGNORE_NUMBER_SIGN": "True"}, "Date": {}, "Billing info": {"Customer": {}, "Customer ID": {}, "Address": {"CustomStringEvaluator": {"IGNORE_COMMAS": "True"}}, "Phone": {"CustomStringEvaluator": {"IGNORE_DASHES": "True", "IGNORE_PARENTHETHES": "True"}}}, "Payment Due": {}, "Salesperson": {}, "Payment Terms": {}, "Shipping info": {"Recipient": {}, "Address": {}, "Phone": {"CustomStringEvaluator": {"IGNORE_DASHES": "True", "IGNORE_PARENTHETHES": "True"}}}, "Delivery Date": {"CustomStringEvaluator": {"IGNORE_COMMAS": "True"}}, "Shipping Method": {}, "Shipping Terms": {}, "Table": {"Items": [{"Qty": {}, "Item#": {}, "Description": {}, "Unit price": {}, "Discount": {"CustomStringEvaluator": {"IGNORE_PERCENTAGE_SIGN": "True"}}, "Line total": {}}, {"Qty": {}, "Item#": {}, "Description": {}, "Unit price": {}, "Discount": {"CustomStringEvaluator": {"IGNORE_PERCENTAGE_SIGN": "True"}}, "Line total": {}}, {"Qty": {}, "Item#": {}, "Description": {}, "Unit price": {}, "Discount": {"CustomStringEvaluator": {"IGNORE_PERCENTAGE_SIGN": "True"}}, "Line total": {}}], "Total Discount": {}, "Subtotal": {}, "Sales Tax": {}, "Total": {}}, "Footer": {"Customer Name": {}, "Address": {}, "Website": {}, "Phone number": {}, "Fax number": {}, "Email": {}}}}} 2 | -------------------------------------------------------------------------------- /demo/default-dataset/evaluation_schema.json: -------------------------------------------------------------------------------- 1 | { 2 | "Customer Name": { 3 | "CustomStringEvaluator": { 4 | "IGNORE_DOTS": "True" 5 | } 6 | }, 7 | "Invoice Number": { 8 | "CustomStringEvaluator": { 9 | "IGNORE_NUMBER_SIGN": "True" 10 | }, 11 | "Date": {}, 12 | "Billing info": { 13 | "Customer": {}, 14 | "Customer ID": {}, 15 | "Address": { 16 | "CustomStringEvaluator": { 17 | "IGNORE_COMMAS": "True" 18 | } 19 | }, 20 | "Phone": { 21 | "CustomStringEvaluator": { 22 | "IGNORE_DASHES": "True", 23 | "IGNORE_PARENTHETHES": "True" 24 | } 25 | } 26 | }, 27 | "Payment Due": {}, 28 | "Salesperson": {}, 29 | "Payment Terms": {}, 30 | "Shipping info": { 31 | "Recipient": {}, 32 | "Address": {}, 33 | "Phone": { 34 | "CustomStringEvaluator": { 35 | "IGNORE_DASHES": "True", 36 | "IGNORE_PARENTHETHES": "True" 37 | } 38 | } 39 | }, 40 | "Delivery Date": { 41 | "CustomStringEvaluator": { 42 | "IGNORE_COMMAS": "True" 43 | } 44 | }, 45 | "Shipping Method": {}, 46 | "Shipping Terms": {}, 47 | "Table": { 48 | "Items": [ 49 | { 50 | "Qty": {}, 51 | "Item#": {}, 52 | "Description": {}, 53 | "Unit price": {}, 54 | "Discount": { 55 | "CustomStringEvaluator": { 56 | "IGNORE_PERCENTAGE_SIGN": "True" 57 | } 58 | }, 59 | "Line total": {} 60 | }, 61 | { 62 | "Qty": {}, 63 | "Item#": {}, 64 | "Description": {}, 65 | "Unit price": {}, 66 | "Discount": { 67 | "CustomStringEvaluator": { 68 | "IGNORE_PERCENTAGE_SIGN": "True" 69 | } 70 | }, 71 | "Line total": {} 72 | }, 73 | { 74 | "Qty": {}, 75 | "Item#": {}, 76 | "Description": {}, 77 | "Unit price": {}, 78 | "Discount": { 79 | "CustomStringEvaluator": { 80 | "IGNORE_PERCENTAGE_SIGN": "True" 81 | } 82 | }, 83 | "Line total": {} 84 | } 85 | ], 86 | "Total Discount": {}, 87 | "Subtotal": {}, 88 | "Sales Tax": {}, 89 | "Total": {} 90 | }, 91 | "Footer": { 92 | "Customer Name": {}, 93 | "Address": {}, 94 | "Website": {}, 95 | "Phone number": {}, 96 | "Fax number": {}, 97 | "Email": {} 98 | } 99 | } 100 | } -------------------------------------------------------------------------------- /demo/default-dataset/ground_truth.json: -------------------------------------------------------------------------------- 1 | { 2 | "Customer Name": "Happiest Valley Farms", 3 | "Invoice Number": "1234", 4 | "Date": "November 30, 2022", 5 | "Billing info": { 6 | "Customer": "Henry Ross", 7 | "Customer ID": "8675309", 8 | "Address": "123 Avenue A, Metropolis", 9 | "Phone": "(123) 456-7890" 10 | }, 11 | "Payment Due": "December 30, 2022", 12 | "Salesperson": "Luca Richter", 13 | "Payment Terms": "Cash or check", 14 | "Shipping info": { 15 | "Recipient": "Henry Ross", 16 | "Address": "123 Avenue A, Metropolis", 17 | "Phone": "(123) 456-7890" 18 | }, 19 | "Delivery Date": "December 7, 2022", 20 | "Shipping Method": "Ground", 21 | "Shipping Terms": "Returns not accepted", 22 | "Table": { 23 | "Items": [ 24 | { 25 | "Qty": 10, 26 | "Item#": 123, 27 | "Description": "Baby chicks", 28 | "Unit price": 5.00, 29 | "Discount": "10%", 30 | "Line total": 45.00 31 | }, 32 | { 33 | "Qty": 2, 34 | "Item#": 444, 35 | "Description": "Heat lamps", 36 | "Discount": "", 37 | "Unit price": 24.00, 38 | "Line total": 48.00 39 | }, 40 | { 41 | "Qty": 6, 42 | "Item#": 120, 43 | "Description": "Chicken roosts", 44 | "Discount": "", 45 | "Unit price": 30.00, 46 | "Line total": 180.00 47 | } 48 | ], 49 | "Total Discount": 5.00, 50 | "Subtotal": 278.00, 51 | "Sales Tax": 13.90, 52 | "Total": 286.90 53 | }, 54 | "Footer": { 55 | "Customer Name": "Happiest Valley Farms", 56 | "Address": "456 Anyroad, Anywhere", 57 | "Website": "interstingsite.com", 58 | "Phone number": "(123)987-6543", 59 | "Fax number": "(123)987-6542", 60 | "Email": "happiest@example.com" 61 | } 62 | } -------------------------------------------------------------------------------- /demo/default-dataset/ground_truth_with_evaluators.json: -------------------------------------------------------------------------------- 1 | { 2 | "Customer Name": { 3 | "value": "Happiest Valley Farms", 4 | "evaluators": { 5 | "MatchEvaluator": { 6 | "IGNORE_DOTS": "True" 7 | } 8 | } 9 | }, 10 | "Invoice Number": { 11 | "value": "1234", 12 | "evaluators": { 13 | "MatchEvaluator": { 14 | "IGNORE_NUMBER_SIGN": "True" 15 | } 16 | } 17 | }, 18 | "Date": { 19 | "value": "November 30, 2022" 20 | }, 21 | "Billing info": { 22 | "Customer": { 23 | "value": "Henry Ross" 24 | }, 25 | "Customer ID": { 26 | "value": "8675309" 27 | }, 28 | "Address": { 29 | "value": "123 Avenue A, Metropolis", 30 | "evaluators": { 31 | "MatchEvaluator": { 32 | "IGNORE_COMAS": "True" 33 | } 34 | } 35 | }, 36 | "Phone": { 37 | "value": "(123) 456-7890", 38 | "evaluators": { 39 | "MatchEvaluator": { 40 | "IGNORE_DASHES": "True", 41 | "IGNORE_PARENTHETHIS": "True" 42 | } 43 | } 44 | } 45 | }, 46 | "Payment Due": { 47 | "value": "December 30, 2022" 48 | }, 49 | "Salesperson": { 50 | "value": "Luca Richter" 51 | }, 52 | "Payment Terms": { 53 | "value": "Cash or check" 54 | }, 55 | "Shipping info": { 56 | "Recipient": { 57 | "value": "Henry Ross" 58 | }, 59 | "Address": { 60 | "value": "123 Avenue A, Metropolis" 61 | }, 62 | "Phone": { 63 | "value": "(123) 456-7890", 64 | "evaluators": { 65 | "MatchEvaluator": { 66 | "IGNORE_DASHES": "True", 67 | "IGNORE_PARENTHETHIS": "True" 68 | } 69 | } 70 | } 71 | }, 72 | "Delivery Date": { 73 | "value": "December 7, 2022", 74 | "evaluators": { 75 | "MatchEvaluator": { 76 | "IGNORE_COMAS": "True" 77 | } 78 | } 79 | }, 80 | "Shipping Method": { 81 | "value": "Ground" 82 | }, 83 | "Shipping Terms": { 84 | "value": "Returns not accepted" 85 | }, 86 | "Table": { 87 | "Items": [ 88 | { 89 | "Qty": { 90 | "value": 10 91 | }, 92 | "Item#": { 93 | "value": 123 94 | }, 95 | "Description": { 96 | "value": "Baby chicks" 97 | }, 98 | "Unit price": { 99 | "value": 5.00 100 | }, 101 | "Discount": { 102 | "value": "10%", 103 | "evaluators": { 104 | "MatchEvaluator": { 105 | "IGNORE_PERCENTAGE_SIGN": "True" 106 | } 107 | } 108 | }, 109 | "Line total": { 110 | "value": 45.00 111 | } 112 | }, 113 | { 114 | "Qty": { 115 | "value": 2 116 | }, 117 | "Item#": { 118 | "value": 444 119 | }, 120 | "Description": { 121 | "value": "Heat lamps" 122 | }, 123 | "Unit price": { 124 | "value": 24.00 125 | }, 126 | "Discount": { 127 | "value": "", 128 | "evaluators": { 129 | "MatchEvaluator": { 130 | "IGNORE_PERCENTAGE_SIGN": "True" 131 | } 132 | } 133 | }, 134 | "Line total": { 135 | "value": 48.00 136 | } 137 | }, 138 | { 139 | "Qty": { 140 | "value": 6 141 | }, 142 | "Item#": { 143 | "value": 120 144 | }, 145 | "Description": { 146 | "value": "Chicken roosts" 147 | }, 148 | "Unit price": { 149 | "value": 30.00 150 | }, 151 | "Discount": { 152 | "value": "", 153 | "evaluators": { 154 | "MatchEvaluator": { 155 | "IGNORE_PERCENTAGE_SIGN": "True" 156 | } 157 | } 158 | }, 159 | "Line total": { 160 | "value": 180.00 161 | } 162 | } 163 | ], 164 | "Total Discount": { 165 | "value": 5.00 166 | }, 167 | "Subtotal": { 168 | "value": 278.00 169 | }, 170 | "Sales Tax": { 171 | "value": 13.90 172 | }, 173 | "Total": { 174 | "value": 286.90 175 | } 176 | }, 177 | "Footer": { 178 | "Customer Name": { 179 | "value": "Happiest Valley Farms" 180 | }, 181 | "Address": { 182 | "value": "456 Anyroad, Anywhere" 183 | }, 184 | "Website": { 185 | "value": "interstingsite.com" 186 | }, 187 | "Phone number": { 188 | "value": "(123)987-6543" 189 | }, 190 | "Fax number": { 191 | "value": "(123)987-6542" 192 | }, 193 | "Email": { 194 | "value": "happiest@example.com" 195 | } 196 | } 197 | } -------------------------------------------------------------------------------- /demo/default-dataset/output_schema.json: -------------------------------------------------------------------------------- 1 | { 2 | "Customer Name": "", 3 | "Invoice Number": "", 4 | "Date": "", 5 | "Billing info": { 6 | "Customer": "", 7 | "Customer ID": "", 8 | "Address": "", 9 | "Phone": "" 10 | }, 11 | "Payment Due": "", 12 | "Salesperson": "", 13 | "Payment Terms": "", 14 | "Shipping info": { 15 | "Recipient": "", 16 | "Address": "", 17 | "Phone": "" 18 | }, 19 | "Delivery Date": "", 20 | "Shipping Method": "", 21 | "Shipping Terms": "", 22 | "Table": { 23 | "Items": [ 24 | { 25 | "Qty": "", 26 | "Item#": "", 27 | "Description": "", 28 | "Unit price": "", 29 | "Discount": "", 30 | "Line total": "" 31 | } 32 | ], 33 | "Total Discount": "", 34 | "Subtotal": "", 35 | "Sales Tax": "", 36 | "Total": "" 37 | }, 38 | "Footer": { 39 | "Customer Name": "", 40 | "Address": "", 41 | "Website": "", 42 | "Phone number": "", 43 | "Fax number": "", 44 | "Email": "" 45 | } 46 | } -------------------------------------------------------------------------------- /demo/default-dataset/output_schema_empty.json: -------------------------------------------------------------------------------- 1 | {} -------------------------------------------------------------------------------- /demo/default-dataset/system_prompt.txt: -------------------------------------------------------------------------------- 1 | Extract all data from the document in a comprehensive and structured manner. 2 | 3 | Focus on: 4 | - Key identifiers (invoice numbers, reference numbers, IDs) 5 | - Financial information (amounts, totals, currency, taxes) 6 | - Parties involved (vendors, customers, suppliers, recipients) 7 | - Dates and timelines (invoice dates, due dates, service periods) 8 | - Line items and details (products, services, quantities, prices) 9 | - Contact information (addresses, phone numbers, emails) 10 | - Any other relevant structured data visible in the document 11 | 12 | When both text and images are available, use the text as the primary source and cross-reference with images for accuracy. When only images are available, extract all visible information directly from the visual content. -------------------------------------------------------------------------------- /demo/medical-dataset/eyes_surgery_pre_1_4.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/demo/medical-dataset/eyes_surgery_pre_1_4.pdf -------------------------------------------------------------------------------- /demo/medical-dataset/output_schema.json: -------------------------------------------------------------------------------- 1 | { 2 | "id" : "medical_report", 3 | "categorization" : "", 4 | "title": "Medical Report", 5 | "type": "object", 6 | "properties": { 7 | "doctor": { 8 | "type": "object", 9 | "properties": { 10 | "specialty": { "type": "string" }, 11 | "name": { "type": "string" }, 12 | "clinic": { "type": "string" }, 13 | "phone": { "type": "string" }, 14 | "fax": { "type": "string" } 15 | } 16 | }, 17 | "patient": { 18 | "type": "object", 19 | "properties": { 20 | "name": { "type": "string" } 21 | } 22 | }, 23 | "post_surgery_follow_up": { 24 | "type": "array", 25 | "items": { 26 | "type": "object", 27 | "properties": { 28 | "period": { "type": "string" }, 29 | "date": { "type": "string", "format": "date" }, 30 | "ODv": { "type": "string" }, 31 | "ODT": { "type": "string" }, 32 | "OSv": { "type": "string" }, 33 | "OST": { "type": "string" }, 34 | "therapy": { "type": "string" } 35 | } 36 | } 37 | }, 38 | "pre_surgery_evaluation": { 39 | "type": "object", 40 | "properties": { 41 | "anamnesis_data": { "type": "string" }, 42 | "night_glare": { "type": "string" }, 43 | "contact_lens_tolerance": { "type": "string" }, 44 | "medications": { "type": "string" }, 45 | "ocular_dryness": { "type": "string" }, 46 | "collagen_disorders": { "type": "string" }, 47 | "diabetes": { "type": "string" }, 48 | "autorefractometry": { 49 | "type": "object", 50 | "properties": { 51 | "OD": { "type": "string" }, 52 | "OS": { "type": "string" } 53 | } 54 | }, 55 | "visual_acuity": { 56 | "type": "object", 57 | "properties": { 58 | "OD": { "type": "string" }, 59 | "OS": { "type": "string" } 60 | } 61 | }, 62 | "corneal_map": { "type": "string" }, 63 | "schirmer_tear_test": { "type": "string" }, 64 | "pupilometry": { "type": "string" }, 65 | "pachymetry": { 66 | "type": "object", 67 | "properties": { 68 | "OD": { "type": "string" }, 69 | "OS": { "type": "string" } 70 | } 71 | }, 72 | "cornea": { "type": "string" }, 73 | "crystalline_lens": { "type": "string" }, 74 | "fundus": { "type": "string" }, 75 | "tonometry": { "type": "string" }, 76 | "eyelid_conjunctiva_anomalies": { "type": "string" } 77 | } 78 | } 79 | } 80 | } 81 | -------------------------------------------------------------------------------- /demo/medical-dataset/system_prompt.txt: -------------------------------------------------------------------------------- 1 | Extract information about patients, medical conditions, treatments, analysis or appointments/visits they made at hospitals, doctors or laboratories, payments of invoices or purchases of medicaments. 2 | On the field 'categorization' choose one of these: 1) 'invoice' 2) 'medical_report' based on your classification. 3 | If you cannot determine that the content belongs to one of these categories then apply a classification 'N/A'. -------------------------------------------------------------------------------- /docs/ArchitectureOverview.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/docs/ArchitectureOverview.png -------------------------------------------------------------------------------- /frontend/.deployment: -------------------------------------------------------------------------------- 1 | [config] 2 | SCM_DO_BUILD_DURING_DEPLOYMENT=true -------------------------------------------------------------------------------- /frontend/.dockerignore: -------------------------------------------------------------------------------- 1 | __pycache__/ 2 | *.pyc 3 | *.pyo 4 | *.pyd 5 | .Python 6 | env/ 7 | venv/ 8 | .env 9 | .venv 10 | pip-log.txt 11 | pip-delete-this-directory.txt 12 | .tox 13 | .coverage 14 | .coverage.* 15 | .cache 16 | nosetests.xml 17 | coverage.xml 18 | *.cover 19 | *.log 20 | .git 21 | .mypy_cache 22 | .pytest_cache 23 | .hypothesis 24 | .DS_Store 25 | *.swp 26 | *.swo 27 | *~ 28 | -------------------------------------------------------------------------------- /frontend/.env.temp: -------------------------------------------------------------------------------- 1 | BLOB_ACCOUNT_URL="" 2 | CONTAINER_NAME="datasets" 3 | COSMOS_URL="" 4 | COSMOS_DB_NAME="doc-extracts" 5 | COSMOS_DOCUMENTS_CONTAINER_NAME="documents" 6 | COSMOS_CONFIG_CONTAINER_NAME="configuration" -------------------------------------------------------------------------------- /frontend/.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | 53 | # Translations 54 | *.mo 55 | *.pot 56 | 57 | # Django stuff: 58 | *.log 59 | local_settings.py 60 | db.sqlite3 61 | 62 | # Flask stuff: 63 | instance/ 64 | .webassets-cache 65 | 66 | # Scrapy stuff: 67 | .scrapy 68 | 69 | # Sphinx documentation 70 | docs/_build/ 71 | 72 | # PyBuilder 73 | target/ 74 | 75 | # Jupyter Notebook 76 | .ipynb_checkpoints 77 | 78 | # IPython 79 | profile_default/ 80 | ipython_config.py 81 | 82 | # pyenv 83 | .python-version 84 | 85 | # pipenv 86 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 87 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 88 | # having no cross-platform support, pipenv may install dependencies that don’t work, or not 89 | # install all needed dependencies. 90 | #Pipfile.lock 91 | 92 | # celery beat schedule file 93 | celerybeat-schedule 94 | 95 | # SageMath parsed files 96 | *.sage.py 97 | 98 | # Environments 99 | .env 100 | .venv 101 | env/ 102 | venv/ 103 | ENV/ 104 | env.bak/ 105 | venv.bak/ 106 | 107 | # Spyder project settings 108 | .spyderproject 109 | .spyproject 110 | 111 | # Rope project settings 112 | .ropeproject 113 | 114 | # mkdocs documentation 115 | /site 116 | 117 | # mypy 118 | .mypy_cache/ 119 | .dmypy.json 120 | dmypy.json 121 | 122 | # Pyre type checker 123 | .pyre/ 124 | 125 | # Azure Functions artifacts 126 | bin 127 | obj 128 | appsettings.json 129 | local.settings.json 130 | 131 | # Azurite artifacts 132 | __blobstorage__ 133 | __queuestorage__ 134 | __azurite_db*__.json 135 | .python_packages -------------------------------------------------------------------------------- /frontend/Dockerfile: -------------------------------------------------------------------------------- 1 | # Use Python 3.11 slim image 2 | FROM python:3.11-slim 3 | 4 | # Set working directory 5 | WORKDIR /app 6 | 7 | # Install system dependencies 8 | RUN apt-get update && apt-get install -y \ 9 | curl \ 10 | && rm -rf /var/lib/apt/lists/* 11 | 12 | # Copy requirements first for better caching 13 | COPY requirements.txt . 14 | 15 | # Install Python dependencies 16 | RUN pip install --no-cache-dir -r requirements.txt 17 | 18 | # Copy application code 19 | COPY . . 20 | 21 | # Create a non-root user 22 | RUN useradd --create-home --shell /bin/bash appuser && chown -R appuser:appuser /app 23 | USER appuser 24 | 25 | # Expose the port that Streamlit runs on 26 | EXPOSE 8501 27 | 28 | # Health check 29 | HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ 30 | CMD curl -f http://localhost:8501/_stcore/health || exit 1 31 | 32 | # Run Streamlit 33 | CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.headless=true", "--server.enableCORS=false", "--server.enableWebsocketCompression=false"] 34 | -------------------------------------------------------------------------------- /frontend/app.py: -------------------------------------------------------------------------------- 1 | import os 2 | import streamlit as st 3 | from dotenv import load_dotenv 4 | 5 | from process_files import process_files_tab 6 | from explore_data import explore_data_tab 7 | from instructions import instructions_tab 8 | from settings import settings_tab 9 | 10 | ## IMPORTANT: Instructions on how to run the Streamlit app locally can be found in the README.md file. 11 | 12 | 13 | # Load environment variables 14 | load_dotenv() 15 | 16 | # Initialize the session state variables if they are not already set 17 | def initialize_session_state(): 18 | env_vars = { 19 | 'system_prompt': "SYSTEM_PROMPT", 20 | 'schema': "OUTPUT_SCHEMA", 21 | 'blob_conn_str': "BLOB_CONN_STR", 22 | 'blob_url' : "BLOB_ACCOUNT_URL", 23 | 'container_name': "CONTAINER_NAME", 24 | 'cosmos_url': "COSMOS_URL", 25 | 'cosmos_db_name': "COSMOS_DB_NAME", 26 | 'cosmos_documents_container_name': "COSMOS_DOCUMENTS_CONTAINER_NAME", 27 | 'cosmos_config_container_name': "COSMOS_CONFIG_CONTAINER_NAME", 28 | 'backend_url': "BACKEND_URL" 29 | } 30 | for var, env in env_vars.items(): 31 | if var not in st.session_state: 32 | st.session_state[var] = os.getenv(env) 33 | 34 | # Initialize the session state variables 35 | initialize_session_state() 36 | 37 | # Set the page layout to wide 38 | st.set_page_config( 39 | page_title="ARGUS - Document Intelligence Platform", 40 | page_icon="🧠", 41 | layout="wide" 42 | ) 43 | 44 | # Header 45 | st.header("🧠 ARGUS: Automated Retrieval and GPT Understanding System") 46 | 47 | # Tabs navigation 48 | tabs = st.tabs(["🧠 Process Files", "🔎 Explore Data", "⚙️ Settings", "📋 Instructions"]) 49 | 50 | # Render the tabs 51 | with tabs[0]: 52 | process_files_tab() 53 | with tabs[1]: 54 | explore_data_tab() 55 | with tabs[2]: 56 | settings_tab() 57 | with tabs[3]: 58 | instructions_tab() 59 | -------------------------------------------------------------------------------- /frontend/backend_client.py: -------------------------------------------------------------------------------- 1 | import os 2 | import requests 3 | import streamlit as st 4 | from typing import Optional, List, Dict, Any 5 | 6 | 7 | class BackendClient: 8 | """Client for communicating with the ARGUS backend API""" 9 | 10 | def __init__(self, backend_url: Optional[str] = None): 11 | self.backend_url = backend_url or os.getenv('BACKEND_URL', 'http://localhost:8000') 12 | self.session = requests.Session() 13 | 14 | def _make_request(self, method: str, endpoint: str, **kwargs) -> requests.Response: 15 | """Make a request to the backend API""" 16 | url = f"{self.backend_url}/api{endpoint}" 17 | try: 18 | response = self.session.request(method, url, **kwargs) 19 | response.raise_for_status() 20 | return response 21 | except requests.exceptions.RequestException as e: 22 | st.error(f"Error communicating with backend: {e}") 23 | raise 24 | 25 | def upload_file(self, file_content: bytes, filename: str, dataset_name: str) -> Dict[str, Any]: 26 | """Upload a file to the specified dataset""" 27 | files = { 28 | 'file': (filename, file_content, 'application/octet-stream') 29 | } 30 | data = { 31 | 'dataset_name': dataset_name 32 | } 33 | response = self._make_request('POST', '/upload', files=files, data=data) 34 | return response.json() 35 | 36 | def get_configuration(self) -> Dict[str, Any]: 37 | """Get the current configuration from the backend""" 38 | response = self._make_request('GET', '/configuration') 39 | return response.json() 40 | 41 | def update_configuration(self, config_data: Dict[str, Any]) -> Dict[str, Any]: 42 | """Update the configuration via the backend""" 43 | response = self._make_request('POST', '/configuration', json=config_data) 44 | return response.json() 45 | 46 | def get_datasets(self) -> List[str]: 47 | """Get list of available datasets""" 48 | response = self._make_request('GET', '/datasets') 49 | return response.json() 50 | 51 | def get_dataset_files(self, dataset_name: str) -> List[Dict[str, Any]]: 52 | """Get files in a specific dataset""" 53 | response = self._make_request('GET', f'/datasets/{dataset_name}/files') 54 | return response.json() 55 | 56 | def get_documents(self, dataset_name: Optional[str] = None) -> List[Dict[str, Any]]: 57 | """Get processed documents, optionally filtered by dataset""" 58 | params = {'dataset': dataset_name} if dataset_name else {} 59 | response = self._make_request('GET', '/documents', params=params) 60 | data = response.json() 61 | 62 | # Handle both old format (direct array) and new format (with wrapper) 63 | if isinstance(data, dict) and 'documents' in data: 64 | return data['documents'] 65 | elif isinstance(data, list): 66 | return data 67 | else: 68 | return [] 69 | 70 | def get_document_details(self, document_id: str) -> Optional[Dict[str, Any]]: 71 | """Get details for a specific document""" 72 | try: 73 | response = self._make_request('GET', f'/documents/{document_id}') 74 | return response.json() 75 | except requests.exceptions.RequestException: 76 | return None 77 | 78 | def health_check(self) -> Dict[str, Any]: 79 | """Check if the backend is healthy""" 80 | # Try the health endpoint without /api prefix first (for local development) 81 | try: 82 | url = f"{self.backend_url}/health" 83 | response = self.session.get(url) 84 | response.raise_for_status() 85 | return response.json() 86 | except: 87 | # Fallback to /api/health for production backend 88 | response = self._make_request('GET', '/health') 89 | return response.json() 90 | 91 | def delete_document(self, document_id: str) -> Optional[requests.Response]: 92 | """Delete a document by ID""" 93 | try: 94 | response = self._make_request('DELETE', f'/documents/{document_id}') 95 | return response 96 | except requests.exceptions.RequestException as e: 97 | st.error(f"Failed to delete document: {e}") 98 | return None 99 | 100 | def reprocess_document(self, document_id: str) -> Optional[requests.Response]: 101 | """Reprocess a document by ID""" 102 | try: 103 | response = self._make_request('POST', f'/documents/{document_id}/reprocess') 104 | return response 105 | except requests.exceptions.RequestException as e: 106 | st.error(f"Failed to reprocess document: {e}") 107 | return None 108 | 109 | def chat_with_document(self, document_id: str, message: str, chat_history: list = None) -> Dict[str, Any]: 110 | """Send a chat message about a specific document""" 111 | data = { 112 | 'document_id': document_id, 113 | 'message': message, 114 | 'chat_history': chat_history or [] 115 | } 116 | response = self._make_request('POST', '/chat', json=data) 117 | return response.json() 118 | 119 | 120 | # Global backend client instance 121 | backend_client = BackendClient() 122 | -------------------------------------------------------------------------------- /frontend/concurrency_management.py: -------------------------------------------------------------------------------- 1 | """ 2 | Logic App Concurrency Management Interface 3 | 4 | This module provides a Streamlit interface for managing Logic App concurrency settings. 5 | It allows users to view current concurrency settings and update the maximum number of 6 | concurrent runs for the Logic App workflow. 7 | """ 8 | 9 | import streamlit as st 10 | import requests 11 | import json 12 | import os 13 | from datetime import datetime 14 | import logging 15 | 16 | # Configure logging 17 | logging.basicConfig(level=logging.INFO) 18 | logger = logging.getLogger(__name__) 19 | 20 | def get_backend_url(): 21 | """Get the backend API URL from environment or use default""" 22 | return os.getenv('BACKEND_API_URL', 'http://localhost:8000') 23 | 24 | def render_concurrency_management(): 25 | """Render the Logic App concurrency management interface""" 26 | st.header("🔧 Logic App Concurrency Management") 27 | st.markdown("Manage the concurrency settings for your Logic App workflow to control how many instances can run simultaneously.") 28 | 29 | backend_url = get_backend_url() 30 | 31 | # Create two columns for better layout 32 | col1, col2 = st.columns([2, 1]) 33 | 34 | with col1: 35 | st.subheader("Current Settings") 36 | 37 | # Add refresh button 38 | if st.button("🔄 Refresh Settings", key="refresh_concurrency"): 39 | st.rerun() 40 | 41 | # Fetch current concurrency settings 42 | try: 43 | with st.spinner("Loading current concurrency settings..."): 44 | response = requests.get(f"{backend_url}/api/concurrency", timeout=10) 45 | 46 | if response.status_code == 200: 47 | settings = response.json() 48 | 49 | if settings.get("enabled", False): 50 | # Display current settings in a nice format 51 | st.success("✅ Logic App Manager is active") 52 | 53 | # Create metrics display 54 | metric_col1, metric_col2, metric_col3 = st.columns(3) 55 | 56 | with metric_col1: 57 | st.metric( 58 | label="Current Max Runs", 59 | value=settings.get("current_max_runs", "Unknown") 60 | ) 61 | 62 | with metric_col2: 63 | st.metric( 64 | label="Workflow State", 65 | value=settings.get("workflow_state", "Unknown") 66 | ) 67 | 68 | with metric_col3: 69 | if settings.get("last_modified"): 70 | try: 71 | last_modified = datetime.fromisoformat( 72 | settings["last_modified"].replace("Z", "+00:00") 73 | ) 74 | st.metric( 75 | label="Last Modified", 76 | value=last_modified.strftime("%Y-%m-%d %H:%M") 77 | ) 78 | except: 79 | st.metric( 80 | label="Last Modified", 81 | value="Unknown" 82 | ) 83 | 84 | # Display Logic App details 85 | with st.expander("Logic App Details"): 86 | st.write(f"**Logic App Name:** {settings.get('logic_app_name', 'Unknown')}") 87 | st.write(f"**Resource Group:** {settings.get('resource_group', 'Unknown')}") 88 | 89 | # Store current settings in session state for updates 90 | st.session_state.current_max_runs = settings.get("current_max_runs", 5) 91 | st.session_state.logic_app_active = True 92 | 93 | else: 94 | st.error(f"❌ Logic App Manager is not configured: {settings.get('error', 'Unknown error')}") 95 | st.session_state.logic_app_active = False 96 | 97 | elif response.status_code == 503: 98 | st.error("❌ Logic App Manager is not available. Check configuration.") 99 | st.session_state.logic_app_active = False 100 | else: 101 | st.error(f"❌ Failed to fetch settings: HTTP {response.status_code}") 102 | st.session_state.logic_app_active = False 103 | 104 | except requests.exceptions.RequestException as e: 105 | st.error(f"❌ Connection error: {str(e)}") 106 | st.session_state.logic_app_active = False 107 | except Exception as e: 108 | st.error(f"❌ Error loading settings: {str(e)}") 109 | st.session_state.logic_app_active = False 110 | 111 | with col2: 112 | st.subheader("Update Settings") 113 | 114 | # Only show update form if Logic App is active 115 | if st.session_state.get("logic_app_active", False): 116 | current_max_runs = st.session_state.get("current_max_runs", 5) 117 | 118 | # Input for new max runs 119 | new_max_runs = st.number_input( 120 | "New Max Concurrent Runs", 121 | min_value=1, 122 | max_value=100, 123 | value=current_max_runs, 124 | step=1, 125 | help="Set the maximum number of Logic App instances that can run concurrently (1-100)" 126 | ) 127 | 128 | # Show the impact of the change 129 | if new_max_runs != current_max_runs: 130 | if new_max_runs > current_max_runs: 131 | st.info(f"ℹ️ This will increase concurrency from {current_max_runs} to {new_max_runs}") 132 | else: 133 | st.warning(f"⚠️ This will decrease concurrency from {current_max_runs} to {new_max_runs}") 134 | 135 | # Update button 136 | if st.button("💾 Update Concurrency", key="update_concurrency"): 137 | if new_max_runs == current_max_runs: 138 | st.info("ℹ️ No changes to apply.") 139 | else: 140 | # Show confirmation for significant changes 141 | proceed = True 142 | if abs(new_max_runs - current_max_runs) > 5: 143 | st.warning("⚠️ This is a significant change in concurrency settings.") 144 | proceed = st.checkbox("I understand the impact of this change", key="confirm_update") 145 | 146 | if proceed: 147 | try: 148 | with st.spinner(f"Updating max concurrent runs to {new_max_runs}..."): 149 | update_payload = {"max_runs": new_max_runs} 150 | response = requests.put( 151 | f"{backend_url}/api/concurrency", 152 | json=update_payload, 153 | timeout=30 154 | ) 155 | 156 | if response.status_code == 200: 157 | result = response.json() 158 | st.success(f"✅ Successfully updated max concurrent runs to {new_max_runs}!") 159 | st.session_state.current_max_runs = new_max_runs 160 | 161 | # Show update details 162 | with st.expander("Update Details"): 163 | st.json(result) 164 | 165 | # Auto-refresh after successful update 166 | st.rerun() 167 | else: 168 | error_detail = response.json().get("detail", "Unknown error") 169 | st.error(f"❌ Failed to update settings: {error_detail}") 170 | 171 | except requests.exceptions.RequestException as e: 172 | st.error(f"❌ Connection error: {str(e)}") 173 | except Exception as e: 174 | st.error(f"❌ Error updating settings: {str(e)}") 175 | else: 176 | st.info("ℹ️ Configure Logic App Manager to enable updates.") 177 | 178 | # Information section 179 | st.markdown("---") 180 | st.subheader("ℹ️ About Concurrency Management") 181 | 182 | with st.expander("Understanding Concurrency Settings"): 183 | st.markdown(""" 184 | **What is Logic App Concurrency?** 185 | 186 | Logic App concurrency controls how many instances of your workflow can run simultaneously: 187 | 188 | - **Low Concurrency (1-5)**: Better for resource-intensive operations, prevents overwhelming downstream services 189 | - **Medium Concurrency (6-20)**: Balanced approach for most scenarios 190 | - **High Concurrency (21-100)**: Suitable for lightweight operations with high throughput requirements 191 | 192 | **Considerations:** 193 | - Higher concurrency can improve throughput but may increase resource usage 194 | - Consider the capacity of downstream services (APIs, databases) 195 | - Monitor performance and adjust based on actual usage patterns 196 | 197 | **Environment Variables Required:** 198 | - `AZURE_SUBSCRIPTION_ID`: Your Azure subscription ID 199 | - `AZURE_RESOURCE_GROUP_NAME`: Resource group containing the Logic App 200 | - `LOGIC_APP_NAME`: Name of the Logic App workflow 201 | """) 202 | 203 | # Performance monitoring section 204 | with st.expander("Performance Monitoring Tips"): 205 | st.markdown(""" 206 | **Monitoring Your Logic App Performance:** 207 | 208 | 1. **Azure Portal**: Check Logic App metrics and run history 209 | 2. **Application Insights**: Monitor performance and errors 210 | 3. **Resource Usage**: Watch CPU, memory, and execution time 211 | 4. **Downstream Impact**: Monitor connected services for performance issues 212 | 213 | **Best Practices:** 214 | - Start with lower concurrency and gradually increase 215 | - Test thoroughly in non-production environments 216 | - Set up alerts for high error rates or performance degradation 217 | - Review and adjust settings based on actual usage patterns 218 | """) 219 | 220 | # Main render function for the tab 221 | def render(): 222 | """Main render function called by the Streamlit app""" 223 | render_concurrency_management() 224 | 225 | if __name__ == "__main__": 226 | # For testing the module standalone 227 | render() 228 | -------------------------------------------------------------------------------- /frontend/concurrency_settings.py: -------------------------------------------------------------------------------- 1 | import streamlit as st 2 | import requests 3 | import json 4 | from datetime import datetime 5 | 6 | def concurrency_settings_tab(): 7 | """Simplified tab for managing Logic App concurrency settings""" 8 | 9 | st.markdown("## 🚀 Concurrency Settings") 10 | st.markdown("Configure how many files can be processed in parallel by the Logic App.") 11 | 12 | # Get backend URL from session state or environment 13 | backend_url = st.session_state.get('backend_url', 'http://localhost:8000') 14 | 15 | # Auto-load current settings 16 | current_settings = load_current_settings(backend_url) 17 | 18 | if current_settings and current_settings.get('enabled', False): 19 | # Get current value to prepopulate the input 20 | current_max_runs = current_settings.get('current_max_runs', 5) 21 | 22 | # Status indicator 23 | st.success("✅ Logic App Manager is enabled") 24 | 25 | # Simplified update form - centered layout 26 | st.markdown("### Set Maximum Concurrent Runs") 27 | 28 | with st.form("update_concurrency_form"): 29 | new_max_runs = st.number_input( 30 | f"Current setting: {current_max_runs} concurrent runs", 31 | min_value=1, 32 | max_value=100, 33 | value=current_max_runs, # Prepopulate with current value 34 | step=1, 35 | help="Number of files that can be processed simultaneously" 36 | ) 37 | 38 | # Show impact guidance 39 | if new_max_runs <= 5: 40 | st.info("💡 Lower values: More controlled processing, lower resource usage") 41 | elif new_max_runs <= 20: 42 | st.info("💡 Medium values: Balanced approach for most scenarios") 43 | else: 44 | st.warning("💡 Higher values: Faster processing, requires sufficient Azure resources") 45 | 46 | submit_button = st.form_submit_button("Update Concurrency", type="primary") 47 | 48 | if submit_button: 49 | if new_max_runs == current_max_runs: 50 | st.info("ℹ️ No changes needed - value is already set to " + str(new_max_runs)) 51 | else: 52 | success = update_concurrency_setting(backend_url, new_max_runs) 53 | if success: 54 | st.success(f"✅ Successfully updated to {new_max_runs} concurrent runs!") 55 | st.rerun() # Refresh to show new values 56 | else: 57 | st.error("❌ Failed to update settings. Please try again.") 58 | 59 | else: 60 | # Show error state 61 | st.error("❌ Logic App Manager is not available") 62 | if current_settings and 'error' in current_settings: 63 | st.error(f"Error: {current_settings['error']}") 64 | st.info("Please check your configuration and ensure the backend service is running.") 65 | 66 | # Add diagnostics section for troubleshooting 67 | st.markdown("---") 68 | st.markdown("### 🔍 Diagnostics") 69 | 70 | if st.button("Run Diagnostics", type="secondary"): 71 | with st.spinner("Running diagnostics..."): 72 | try: 73 | diag_response = requests.get(f"{backend_url}/api/concurrency/diagnostics", timeout=10) 74 | if diag_response.status_code == 200: 75 | diagnostics = diag_response.json() 76 | 77 | st.markdown("**Diagnostic Results:**") 78 | 79 | # Environment Variables Check 80 | env_vars = diagnostics.get("environment_variables", {}) 81 | st.markdown("**Environment Variables:**") 82 | for var, is_set in env_vars.items(): 83 | status_icon = "✅" if is_set else "❌" 84 | value = diagnostics.get("environment_values", {}).get(var, "NOT_SET") 85 | st.markdown(f"{status_icon} `{var}`: {value}") 86 | 87 | # Logic App Manager Status 88 | st.markdown("**Logic App Manager Status:**") 89 | manager_init = diagnostics.get("logic_app_manager_initialized", False) 90 | st.markdown(f"{'✅' if manager_init else '❌'} Logic App Manager Initialized: {manager_init}") 91 | 92 | if manager_init: 93 | manager_enabled = diagnostics.get("logic_app_manager_enabled", False) 94 | st.markdown(f"{'✅' if manager_enabled else '❌'} Logic App Manager Enabled: {manager_enabled}") 95 | 96 | creds_available = diagnostics.get("azure_credentials_available", False) 97 | st.markdown(f"{'✅' if creds_available else '❌'} Azure Credentials Available: {creds_available}") 98 | 99 | # Show full diagnostic data 100 | with st.expander("Full Diagnostic Data"): 101 | st.json(diagnostics) 102 | 103 | else: 104 | st.error(f"Failed to get diagnostics: HTTP {diag_response.status_code}") 105 | 106 | except Exception as e: 107 | st.error(f"Error running diagnostics: {str(e)}") 108 | 109 | # Enhanced help section 110 | st.markdown("---") 111 | st.markdown("### 📖 About Concurrency Control") 112 | 113 | with st.expander("💡 How Concurrency Control Works", expanded=True): 114 | st.markdown(""" 115 | **Concurrency control** limits how many files can be processed simultaneously. This ensures stable processing and prevents resource overload. 116 | 117 | **What happens when you upload multiple files:** 118 | 1. Each file triggers a separate Logic App workflow run 119 | 2. The concurrency setting limits how many can run at the same time 120 | 3. Excess files wait in a queue until a slot becomes available 121 | 4. This prevents resource overload and ensures stable processing 122 | 123 | **Choosing the right setting:** 124 | - **Conservative (1-5 runs)**: Best for large files or limited Azure resources 125 | - **Balanced (6-15 runs)**: Good for most use cases with mixed file sizes 126 | - **Aggressive (16+ runs)**: Best for small files and ample Azure resources 127 | """) 128 | 129 | with st.expander("⚙️ Technical Details"): 130 | st.markdown(""" 131 | **How the system enforces concurrency:** 132 | - **Logic App Level**: Controls workflow trigger concurrency 133 | - **Backend Level**: Uses semaphore to limit parallel processing 134 | - **End-to-End Control**: Both layers respect the same concurrency limit 135 | 136 | **Impact of changes:** 137 | - Changes take effect immediately for new file uploads 138 | - Currently running workflows are not affected 139 | - Higher concurrency = higher resource usage and costs 140 | - Lower concurrency = more controlled processing, lower costs 141 | """) 142 | 143 | with st.expander("🔧 Monitoring & Troubleshooting"): 144 | st.markdown(""" 145 | **If processing seems slow:** 146 | 1. Check your current concurrency setting above 147 | 2. Consider increasing it if you have sufficient Azure resources 148 | 3. Monitor your Azure costs as higher concurrency = higher resource usage 149 | 150 | **If you see errors:** 151 | - Ensure the backend has proper permissions to manage the Logic App 152 | - Check that all required environment variables are set 153 | - Verify the Logic App exists and is in the 'Enabled' state 154 | 155 | **Resource considerations:** 156 | - Higher concurrency requires more Azure AI Document Intelligence capacity 157 | - Monitor your Azure OpenAI token usage and rate limits 158 | - Consider Azure Cosmos DB throughput (RU/s) for high concurrency 159 | """) 160 | 161 | 162 | def load_current_settings(backend_url): 163 | """Load current concurrency settings from the backend""" 164 | try: 165 | with st.spinner("Loading current settings..."): 166 | response = requests.get(f"{backend_url}/api/concurrency", timeout=10) 167 | if response.status_code == 200: 168 | return response.json() 169 | else: 170 | # Enhanced error reporting for 503 errors 171 | if response.status_code == 503: 172 | try: 173 | error_detail = response.json().get('detail', response.text) 174 | st.error(f"Failed to load concurrency settings: HTTP 503") 175 | st.error(f"Details: {error_detail}") 176 | 177 | # Show diagnostic information 178 | with st.expander("🔍 Diagnostic Information", expanded=True): 179 | st.markdown("**Possible causes:**") 180 | st.markdown("1. **Missing Environment Variables**: Logic App Manager requires these environment variables:") 181 | st.code(""" 182 | AZURE_SUBSCRIPTION_ID 183 | AZURE_RESOURCE_GROUP_NAME 184 | LOGIC_APP_NAME 185 | """) 186 | st.markdown("2. **Logic App Not Deployed**: The Logic App workflow may not exist in Azure") 187 | st.markdown("3. **Authentication Issues**: The container app may not have permissions to access the Logic App") 188 | 189 | st.markdown("**To diagnose further:**") 190 | st.markdown("- Check Azure Container App environment variables in the Azure Portal") 191 | st.markdown("- Verify the Logic App exists in your resource group") 192 | st.markdown("- Check container app logs for authentication errors") 193 | 194 | except: 195 | st.error(f"Failed to load settings: HTTP {response.status_code}") 196 | st.error(f"Response: {response.text}") 197 | else: 198 | st.error(f"Failed to load settings: HTTP {response.status_code}") 199 | return None 200 | except requests.exceptions.RequestException as e: 201 | st.error(f"Connection error: {str(e)}") 202 | return None 203 | except Exception as e: 204 | st.error(f"Error loading settings: {str(e)}") 205 | return None 206 | 207 | 208 | def update_concurrency_setting(backend_url, new_max_runs): 209 | """Update the concurrency setting""" 210 | try: 211 | with st.spinner(f"Updating to {new_max_runs} concurrent runs..."): 212 | payload = {"max_runs": new_max_runs} 213 | response = requests.put( 214 | f"{backend_url}/api/concurrency", 215 | json=payload, 216 | timeout=30, 217 | headers={"Content-Type": "application/json"} 218 | ) 219 | 220 | if response.status_code == 200: 221 | return True 222 | else: 223 | try: 224 | error_data = response.json() 225 | error_detail = error_data.get('detail', response.text) 226 | except: 227 | error_detail = response.text 228 | st.error(f"Update failed: {error_detail}") 229 | return False 230 | 231 | except Exception as e: 232 | st.error(f"Error updating settings: {str(e)}") 233 | return False 234 | -------------------------------------------------------------------------------- /frontend/document_chat.py: -------------------------------------------------------------------------------- 1 | import streamlit as st 2 | import requests 3 | import json 4 | from typing import List, Dict, Any, Optional 5 | 6 | 7 | class DocumentChatComponent: 8 | """Chat component for interacting with document content""" 9 | 10 | def __init__(self, backend_url: str): 11 | self.backend_url = backend_url 12 | 13 | def initialize_chat_state(self, document_id: str): 14 | """Initialize chat state for a document""" 15 | chat_key = f"chat_history_{document_id}" 16 | if chat_key not in st.session_state: 17 | st.session_state[chat_key] = [] 18 | return chat_key 19 | 20 | def send_message(self, document_id: str, message: str, document_context: str, chat_history: List[Dict]) -> Optional[Dict]: 21 | """Send a message to the chat API""" 22 | try: 23 | response = requests.post( 24 | f"{self.backend_url}/api/chat", 25 | json={ 26 | "document_id": document_id, 27 | "message": message, 28 | "chat_history": chat_history 29 | }, 30 | timeout=30 31 | ) 32 | 33 | if response.status_code == 200: 34 | return response.json() 35 | else: 36 | st.error(f"Chat API error: {response.status_code} - {response.text}") 37 | return None 38 | 39 | except requests.exceptions.RequestException as e: 40 | st.error(f"Error communicating with chat API: {e}") 41 | return None 42 | 43 | def render_chat_interface(self, document_id: str, document_name: str, document_context: str = ""): 44 | """Render the chat interface""" 45 | st.markdown(f"### Chat with: {document_name}") 46 | st.markdown("Ask questions about this document and get insights based on the extracted data.") 47 | 48 | # Initialize chat state 49 | chat_key = self.initialize_chat_state(document_id) 50 | 51 | # Display chat history 52 | chat_container = st.container() 53 | with chat_container: 54 | if st.session_state[chat_key]: 55 | for i, chat_item in enumerate(st.session_state[chat_key]): 56 | role = chat_item.get('role', 'user') 57 | content = chat_item.get('content', '') 58 | with st.chat_message(role): 59 | st.write(content) 60 | else: 61 | st.info("Start a conversation! Ask questions about the document content, specific details, or request insights.") 62 | 63 | # Use st.chat_input for chat input 64 | user_message = st.chat_input("Ask a question about this document...") 65 | 66 | if user_message and user_message.strip(): 67 | # Add user message to chat history 68 | st.session_state[chat_key].append({ 69 | "role": "user", 70 | "content": user_message.strip() 71 | }) 72 | # Show loading spinner 73 | with st.spinner("Thinking..."): 74 | response = self.send_message( 75 | document_id, 76 | user_message.strip(), 77 | document_context, 78 | st.session_state[chat_key] 79 | ) 80 | if response: 81 | assistant_response = response.get('response', 'Sorry, I could not process your request.') 82 | st.session_state[chat_key].append({ 83 | "role": "assistant", 84 | "content": assistant_response 85 | }) 86 | if 'usage' in response: 87 | usage = response['usage'] 88 | with st.expander("Token Usage", expanded=False): 89 | st.write(f"**Prompt Tokens:** {usage.get('prompt_tokens', 0)}") 90 | st.write(f"**Completion Tokens:** {usage.get('completion_tokens', 0)}") 91 | st.write(f"**Total Tokens:** {usage.get('total_tokens', 0)}") 92 | st.rerun() 93 | 94 | # Clear chat history button 95 | if st.session_state[chat_key]: 96 | st.markdown("---") 97 | if st.button("Clear Chat History", key=f"clear_chat_{document_id}"): 98 | st.session_state[chat_key] = [] 99 | st.rerun() 100 | 101 | 102 | def render_document_chat_tab(document_id: str, document_name: str, backend_url: str, document_context: str = ""): 103 | """Standalone function to render chat tab content""" 104 | chat_component = DocumentChatComponent(backend_url) 105 | chat_component.render_chat_interface(document_id, document_name, document_context) 106 | -------------------------------------------------------------------------------- /frontend/instructions.py: -------------------------------------------------------------------------------- 1 | import streamlit as st 2 | 3 | def instructions_tab(): 4 | st.markdown(""" ## How to Use the ARGUS System 5 | 6 | ### Introduction 7 | The ARGUS System is a comprehensive document processing platform that uses Azure AI services to extract structured data from PDF files. The system uses direct cloud service integration for fast and efficient processing. 8 | 9 | ### System Architecture 10 | - **Frontend**: Streamlit-based web interface for user interactions 11 | - **Azure Services**: Document Intelligence, OpenAI, Storage, and Cosmos DB for data processing and storage 12 | - **Direct Integration**: Frontend connects directly to Azure services for optimal performance 13 | 14 | ### Step-by-Step Instructions #### 1. Uploading Files 15 | 1. **Navigate to the "🧠 Process Files" tab**. 16 | 2. **Select a Dataset**: 17 | - Choose a dataset from the dropdown menu. 18 | - The selected dataset will load its corresponding model prompt and example schema. 19 | 3. **Configure the Dataset** (Optional): 20 | - Modify the model prompt or example schema if needed. 21 | - Click 'Save' to update the configuration. 22 | 4. **Upload Files**: 23 | - Use the file uploader to select PDF files for processing. 24 | - Click 'Submit' to upload the files directly to cloud storage. 25 | - The uploaded files are processed automatically using the selected dataset's configuration. 26 | 5. **What is a Dataset?** 27 | - A dataset defines how documents should be processed, including: 28 | - **Model Prompt**: Instructions for the AI model on how to extract data 29 | - **Example Schema**: The target data structure to be extracted 30 | - The example schema can be empty; in this case, the AI model will create a schema based on the document content. 31 | 32 | --- 33 | 34 | #### 2. Exploring Data 35 | 1. **Navigate to the "🔎 Explore Data" tab**. 36 | 2. **View Document Statistics**: 37 | - See overview metrics including total documents, processed count, errors, and datasets 38 | 3. **Filter and Search**: 39 | - Use the dataset filter to view documents from specific datasets 40 | - Browse the document list with processing status indicators 41 | 4. **Analyze Processing Status**: 42 | - View charts showing processing status distribution 43 | - See dataset distribution across your documents 44 | 5. **View Document Details**: 45 | - Select individual documents to view detailed information 46 | - Review extracted content and processing metadata 47 | 6. **Status Indicators**: 48 | - ✅ Successfully processed 49 | - ❌ Processing error 50 | - ➖ Still processing 51 | 52 | --- 53 | 54 | #### 3. Adding New Dataset 55 | 1. **Navigate to the "🧠 Process Files" tab**. 56 | 2. **Add New Dataset**: 57 | - Scroll down to the "Add New Dataset" section. 58 | - Enter a new dataset name, model prompt, and example schema. 59 | - Click 'Add New Dataset' to create the dataset. 60 | - The new dataset will be saved directly to the database and available for selection. 61 | 62 | --- 63 | 64 | #### 4. Additional Notes 65 | 66 | - **Reprocessing Failed Files**: 67 | - For files that have failed, you can trigger reprocessing from the "🔎 Explore Data" tab. 68 | 69 | - **Handling Long Documents**: 70 | - Extraction accuracy might take a hit on very long documents. In such cases, we recommend splitting the documents into smaller parts before uploading. 71 | 72 | ---- 73 | 74 | ### Processing Pipeline 75 | 76 | 1. **File Upload and Storage**: 77 | - Uploaded files are sent to Azure Blob Storage. 78 | - Files are organized into folders based on the selected dataset. 79 | 80 | 2. **Triggering Processing**: 81 | - The upload of a file triggers an Azure Function to start the processing pipeline. 82 | - The pipeline involves Azure Document Intelligence OCR and a Vision-enabled version of GPT-4. 83 | 84 | 3. **Data Extraction**: 85 | - **Azure Document Intelligence OCR**: Extracts text and structure from the uploaded PDF. 86 | - **Vision-enabled GPT-4**: Processes the extracted text to generate structured data based on the provided system prompt and example schema. 87 | 88 | 4. **Data Storage**: 89 | - Extracted data is stored in CosmosDB along with metadata and processing logs. 90 | - The system maintains logs and audit trails for each processed file. 91 | 92 | 5. **Data Retrieval and Display**: 93 | - The "🔎 Explore Data" tab fetches data from CosmosDB. 94 | - Displays the processing status and details of each file. 95 | - Allows for reprocessing or deletion of files directly from the interface. 96 | 97 | 6. **Configuration Management**: 98 | - Dataset configurations, including model prompts and example schemas, are stored in CosmosDB. 99 | - Configurations can be updated through the interface and are used to guide the extraction process. 100 | 101 | --- 102 | 103 | ### Additional Information 104 | For more details and to view the source code, visit the [Github Repo](https://github.com/albertaga27/azure-doc-extraction-gbb-ai/tree/one-click-deployment). 105 | 106 | --- 107 | 108 | This guide provides a comprehensive overview of the ARGUS System, ensuring that users can effectively upload, process, and manage their documents with ease. 109 | """) 110 | 111 | -------------------------------------------------------------------------------- /frontend/requirements.txt: -------------------------------------------------------------------------------- 1 | streamlit==1.40.2 2 | pandas==2.2.3 3 | plotly==5.24.1 4 | azure-storage-blob==12.24.0 5 | azure-cosmos==4.9.0 6 | python-dotenv==1.0.1 7 | azure-identity==1.19.0 8 | requests==2.32.3 9 | numpy==2.1.3 10 | tornado<=6.4.2 -------------------------------------------------------------------------------- /frontend/static/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/frontend/static/logo.png -------------------------------------------------------------------------------- /infra/abbreviations.json: -------------------------------------------------------------------------------- 1 | { 2 | "analysisServicesServers": "as", 3 | "apiManagementService": "apim-", 4 | 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"databricksWorkspaces": "dbw-", 30 | "dataFactoryFactories": "adf-", 31 | "dataLakeAnalyticsAccounts": "dla", 32 | "dataLakeStoreAccounts": "dls", 33 | "dataMigrationServices": "dms-", 34 | "dBforMySQLServers": "mysql-", 35 | "dBforPostgreSQLServers": "psql-", 36 | "devicesIotHubs": "iot-", 37 | "devicesProvisioningServices": "provs-", 38 | "devicesProvisioningServicesCertificates": "pcert-", 39 | "documentDBDatabaseAccounts": "cosmos-", 40 | "eventGridDomains": "evgd-", 41 | "eventGridDomainsTopics": "evgt-", 42 | "eventGridEventSubscriptions": "evgs-", 43 | "eventHubNamespaces": "evhns-", 44 | "eventHubNamespacesEventHubs": "evh-", 45 | "hdInsightClustersHadoop": "hadoop-", 46 | "hdInsightClustersHbase": "hbase-", 47 | "hdInsightClustersKafka": "kafka-", 48 | "hdInsightClustersMl": "mls-", 49 | "hdInsightClustersSpark": "spark-", 50 | "hdInsightClustersStorm": "storm-", 51 | "hybridComputeMachines": "arcs-", 52 | "insightsActionGroups": "ag-", 53 | "insightsComponents": "appi-", 54 | 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"streamAnalyticsCluster": "asa-", 126 | "synapseWorkspaces": "syn", 127 | "synapseWorkspacesAnalyticsWorkspaces": "synw", 128 | "synapseWorkspacesSqlPoolsDedicated": "syndp", 129 | "synapseWorkspacesSqlPoolsSpark": "synsp", 130 | "timeSeriesInsightsEnvironments": "tsi-", 131 | "webServerFarms": "plan-", 132 | "webSitesAppService": "app-", 133 | "webSitesAppServiceEnvironment": "ase-", 134 | "webSitesFunctions": "func-", 135 | "webStaticSites": "stapp-" 136 | } -------------------------------------------------------------------------------- /infra/main-containerapp.parameters.json: -------------------------------------------------------------------------------- 1 | { 2 | "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentParameters.json#", 3 | "contentVersion": "1.0.0.0", 4 | "parameters": { 5 | "location": { 6 | "value": "${AZURE_LOCATION}" 7 | }, 8 | "environmentName": { 9 | "value": "${AZURE_ENV_NAME}" 10 | }, 11 | "containerAppName": { 12 | "value": "${AZURE_CONTAINER_APP_NAME=ca-argus}" 13 | }, 14 | "azurePrincipalId": { 15 | "value": "${AZURE_PRINCIPAL_ID}" 16 | }, 17 | "azureOpenaiEndpoint": { 18 | "value": "${AZURE_OPENAI_ENDPOINT}" 19 | }, 20 | "azureOpenaiKey": { 21 | "value": "${AZURE_OPENAI_KEY}" 22 | }, 23 | "azureOpenaiModelDeploymentName": { 24 | "value": "${AZURE_OPENAI_MODEL_DEPLOYMENT_NAME}" 25 | } 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /infra/main.parameters.json: -------------------------------------------------------------------------------- 1 | { 2 | "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentParameters.json#", 3 | "contentVersion": "1.0.0.0", 4 | "parameters": { 5 | "location": { 6 | "value": "${AZURE_LOCATION}" 7 | }, 8 | "environmentName": { 9 | "value": "${AZURE_ENV_NAME}" 10 | }, 11 | "containerAppName": { 12 | "value": "${AZURE_CONTAINER_APP_NAME=ca-argus}" 13 | }, 14 | "azurePrincipalId": { 15 | "value": "${AZURE_PRINCIPAL_ID}" 16 | }, 17 | "azureOpenaiEndpoint": { 18 | "value": "${AZURE_OPENAI_ENDPOINT}" 19 | }, 20 | "azureOpenaiKey": { 21 | "value": "${AZURE_OPENAI_KEY}" 22 | }, 23 | "azureOpenaiModelDeploymentName": { 24 | "value": "${AZURE_OPENAI_MODEL_DEPLOYMENT_NAME}" 25 | } 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /notebooks/.env.temp: -------------------------------------------------------------------------------- 1 | DOCUMENT_INTELLIGENCE_ENDPOINT= 2 | DOCUMENT_INTELLIGENCE_KEY= 3 | AZURE_OPENAI_KEY= 4 | AZURE_OPENAI_ENDPOINT= 5 | AZURE_OPENAI_MODEL_DEPLOYMENT_NAME= -------------------------------------------------------------------------------- /notebooks/README.md: -------------------------------------------------------------------------------- 1 | # Evaluating ARGUS 2 | ### 3 | 4 | > This notebook illustrate how to double check a first run of the Solution against an expected output. 5 | 6 | 7 | ### Notebook instructions 8 | 9 | Create a .env file in the notebook folder with these keys: 10 | 11 | DOCUMENT_INTELLIGENCE_ENDPOINT= 12 | DOCUMENT_INTELLIGENCE_KEY= 13 | AZURE_OPENAI_KEY= 14 | AZURE_OPENAI_ENDPOINT= 15 | AZURE_OPENAI_MODEL_DEPLOYMENT_NAME= 16 | 17 | > Notes: 18 | > - The document-intelligence resource needs to use the markdown preview feature (limited regions: West EU and East US at the moment). 19 | > - The Azure OpenAI model needs to be vision capable i.e. GPT-4T-0125, 0409 or Omni 20 | 21 | Install requirements.txt provided. 22 | 23 | 24 | ### Notebook flow 25 | 26 | 1. Run ARGUS on an Invoice sample from the demo/default-dataset folder 27 | 2. Saves the output in json format 28 | 3. Run evaluation using LLM as a judge without ground truth data 29 | 4. Run evaluation using ground truth 30 | 31 | ### Evaluation using ground truth data 32 | 33 | This approach provides a way to evaluate actual JSON against ground truth data. 34 | The ground truth data suppose to be manually verified by the human and adhere to the schema provided to Argus solution. 35 | The end result is a combination of total summary (ratio) with detailed information of comparison for each field. The output is a JSON file stored in [outputs folder](./outputs). 36 | [Json evaluator](../src/evaluators/json_evaluator.py) can use different mechanisms of comparing string values. For now we provide configurable [custom string evaluator](src/evaluators/custom_string_evaluator.py) and [fuzzy match evaluator](src/evaluators/fuzz_string_evaluator.py). It can be expanded to support other string evaluation techniques that might include LLM calls in combination with ground truth. 37 | The ratio is calculated based on the total number of strings being matched between ground truth and actual divided by the total number of values being compared. 38 | 39 | 40 | #### Evaluation data 41 | 42 | The [prompt flow evaluation API](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-evals/promptflow.evals.evaluate.html) is used for evaluating the ground truth against the actual data. The `evaluate` function accepts the evaluation data in the form of `jsonl` and contains the keys `ground_truth`, `actual`, and optionally `eval_schema`. The notebook compiles the ground truth, actual and evaluation schema data into the jsonl format using the `compile_jsonl` function. 43 | 44 | The notebook will create the actual data. To update the [ground truth](../demo/default-dataset/ground_truth.json) and evaluation [schema](../), modify the respective files directly. 45 | 46 | 47 | #### Evaluation schema 48 | 49 | The [evaluation schema](../demo/default-dataset/evaluation_schema.json) is optional and used by the `JsonEvaluator` to configure how to evaluate each field in the ground truth with the actual value. If a field is not present in the evaluation schema that is present in the ground truth, then the default evaluators will be used. By default, each field will get a `CustomStringEvaluator` and `FuzzyMatchEvaluator`. If no default configuration and no evaluation schema provided for `CustomStringEvalaution` the evaluator will use exact match for value comparisons ignoring the case. 50 | 51 | Each field evaluator must implement the following method with the same arguments: 52 | 53 | ```python 54 | def __call__(self, ground_truth: str, actual: str, config: dict = None) -> int: 55 | # implementation here 56 | ``` 57 | 58 | Example of default configuration for `CustomStringEvaluator`. This configuration will be applied to all fields unless specified in evaluation schema for a particular field 59 | 60 | 61 | ```python 62 | evaluators = [ 63 | CustomStringEvaluator({ 64 | CustomStringEvaluator.Config.IGNORE_COMMAS: True 65 | }) 66 | ] 67 | json_evaluator = JsonEvaluator(evaluators) 68 | ``` 69 | 70 | ```python 71 | ground_truth = { 72 | "name": "Smith, Bob", 73 | "phone": { 74 | "home_phone_number": "(555) 555-5555", 75 | "work_phone_number": "(555) 123-1234" 76 | }, 77 | "address": "1234 Fake Street, FakeCity", 78 | "is_employed": "True" 79 | } 80 | ``` 81 | 82 | ```python 83 | # evaluation_schema.json 84 | # Each field will get CustomStringEvaluator evaluatation with commas ignored unless the configuration is provided. The evaluation schema will override the default values. 85 | 86 | evaluation_schema = { 87 | # name is not provided so the default will be used, commas ignored 88 | "phone": { 89 | "home_phone_number": { # specific config for this field 90 | "CustomStringEvaluator": { 91 | "IGNORE_IGNORE_PARENTHETHES": "True", 92 | "IGNORE_DASHES": "True" 93 | } 94 | }, 95 | "work_phone_number": {} # default config will be used for CustomStringEvaluator 96 | }, 97 | "address": {}, # default config will be used for CustomStringEvaluator 98 | "is_employed": { 99 | "CustomStringEvaluator": { 100 | "ADDITIONAL_MATCHES": ["yes", "yup", "true"], # additional values that will be marked correct if any of these match the actual value 101 | } 102 | } 103 | } 104 | ``` 105 | 106 | ```python 107 | actual = { 108 | "name": "Smith Bob", # correct, commas are ignored by default config for all fields 109 | "phone": { 110 | "home_phone_number": "555 5555555", # correct, parentheses and dashes are ignored by evaluation shcema for this field 111 | "work_phone_number": "555 1231234," # incorrect, parentheses and dashes are NOT ignored for this field 112 | }, 113 | "address": "1234 Fake Street, FakeCity", # correct, exact match 114 | "is_employed": "yes" # correct, has a matches in additonal matches 115 | } 116 | ``` 117 | 118 | ```python 119 | result = json_evaluator(ground_truth, actual, evaluation_schema) 120 | # result: 121 | # { 122 | # 'CustomStringEvaluator.name': 1, 123 | # 'CustomStringEvaluator.phone.home_phone_number': 1, 124 | # 'CustomStringEvaluator.phone.work_phone_number': 0, 125 | # 'CustomStringEvaluator.address': 1, 126 | # 'CustomStringEvaluator.is_employed': 1, 127 | # 'CustomStringEvaluator.ratio': 0.8 # 4 correct fields / 5 total fields 128 | # } 129 | ``` -------------------------------------------------------------------------------- /notebooks/output.json: -------------------------------------------------------------------------------- 1 | {"Customer Name": "Henry Ross", "Invoice Number": "1234", "Date": "November 30, 2022", "Billing info": {"Customer": "Henry Ross", "Customer ID": "8675309", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Payment Due": "December 30, 2022", "Salesperson": "Luca Richter", "Payment Terms": "Cash or check", "Shipping info": {"Recipient": "Henry Ross", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Delivery Date": "December 7, 2022", "Shipping Method": "Ground", "Shipping Terms": "Returns not accepted", "Table": {"Items": [{"Qty": "10", "Item#": "123", "Description": "Baby chicks", "Unit price": "5.00", "Discount": "10%", "Line total": "45.00"}, {"Qty": "2", "Item#": "444", "Description": "Heat lamps", "Unit price": "24.00", "Discount": "", "Line total": "48.00"}, {"Qty": "6", "Item#": "120", "Description": "Chicken roosts", "Unit price": "30.00", "Discount": "", "Line total": "180.00"}], "Total Discount": "5.00", "Subtotal": "278.00", "Sales Tax": "13.90", "Total": "286.90"}, "Footer": {"Customer Name": "Happiest Valley Farms", "Address": "456 Anyroad, Anywhere", "Website": "interestingsite.com", "Phone number": "(123) 987-6543", "Fax number": "(123) 987-6542", "Email": "happiest@example.com"}} -------------------------------------------------------------------------------- /notebooks/outputs/output_07_31.15.32.50.json: -------------------------------------------------------------------------------- 1 | {"rows": [{"inputs.ground_truth": {"Customer Name": "Happiest Valley Farms", "Invoice Number": "1234", "Date": "November 30, 2022", "Billing info": {"Customer": "Henry Ross", "Customer ID": "8675309", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Payment Due": "December 30, 2022", "Salesperson": "Luca Richter", "Payment Terms": "Cash or check", "Shipping info": {"Recipient": "Henry Ross", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Delivery Date": "December 7, 2022", "Shipping Method": "Ground", "Shipping Terms": "Returns not accepted", "Table": {"Items": [{"Qty": 10, "Item#": 123, "Description": "Baby chicks", "Unit price": 5.0, "Discount": "10%", "Line total": 45.0}, {"Qty": 2, "Item#": 444, "Description": "Heat lamps", "Discount": "", "Unit price": 24.0, "Line total": 48.0}, {"Qty": 6, "Item#": 120, "Description": "Chicken roosts", "Discount": "", "Unit price": 30.0, "Line total": 180.0}], "Total Discount": 5.0, "Subtotal": 278.0, "Sales Tax": 13.9, "Total": 286.9}, "Footer": {"Customer Name": "Happiest Valley Farms", "Address": "456 Anyroad, Anywhere", "Website": "interstingsite.com", "Phone number": "(123)987-6543", "Fax number": "(123)987-6542", "Email": "happiest@example.com"}}, "inputs.actual": {"Customer Name": "Henry Ross", "Invoice Number": "1234", "Date": "November 30, 2022", "Billing info": {"Customer": "Henry Ross", "Customer ID": "8675309", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Payment Due": "December 30, 2022", "Salesperson": "Luca Richter", "Payment Terms": "Cash or check", "Shipping info": {"Recipient": "Henry Ross", "Address": "123 Avenue A, Metropolis", "Phone": "(123) 456-7890"}, "Delivery Date": "December 7, 2022", "Shipping Method": "Ground", "Shipping Terms": "Returns not accepted", "Table": {"Items": [{"Qty": "10", "Item#": "123", "Description": "Baby chicks", "Unit price": "5.00", "Discount": "10%", "Line total": "45.00"}, {"Qty": "2", "Item#": "444", "Description": "Heat lamps", "Unit price": "24.00", "Discount": "", "Line total": "48.00"}, {"Qty": "6", "Item#": "120", "Description": "Chicken roosts", "Unit price": "30.00", "Discount": "", "Line total": "180.00"}], "Total Discount": "5.00", "Subtotal": "278.00", "Sales Tax": "13.90", "Total": "286.90"}, "Footer": {"Customer Name": "Happiest Valley Farms", "Address": "456 Anyroad, Anywhere", "Website": "interestingsite.com", "Phone number": "(123) 987-6543", "Fax number": "(123) 987-6542", "Email": "happiest@example.com"}}, "inputs.eval_schema": {"Customer Name": 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Python Worker is managed by Azure Functions platform 3 | # Manually managing azure-functions-worker may cause unexpected issues 4 | 5 | azure-functions 6 | openai 7 | python-dotenv 8 | pillow 9 | requests_html 10 | azure-cosmos 11 | python-dotenv 12 | azure-ai-documentintelligence 13 | azure-identity 14 | PyMuPDF 15 | langchain 16 | langchain_core 17 | langchain_community 18 | langchain_openai 19 | tiktoken 20 | python-multipart 21 | promptflow-evals 22 | jsonpath-ng 23 | thefuzz 24 | azure-ai-formrecognizer 25 | seaborn 26 | -------------------------------------------------------------------------------- /sample-invoice.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/sample-invoice.pdf -------------------------------------------------------------------------------- /src/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/src/__init__.py -------------------------------------------------------------------------------- /src/containerapp/Dockerfile: -------------------------------------------------------------------------------- 1 | # Multi-stage build for production Container App 2 | FROM python:3.11-slim as builder 3 | 4 | # Set environment variables 5 | ENV PYTHONDONTWRITEBYTECODE=1 \ 6 | PYTHONUNBUFFERED=1 \ 7 | PIP_NO_CACHE_DIR=1 \ 8 | PIP_DISABLE_PIP_VERSION_CHECK=1 9 | 10 | # Install system dependencies 11 | RUN apt-get update && apt-get install -y \ 12 | gcc \ 13 | g++ \ 14 | libc6-dev \ 15 | libffi-dev \ 16 | && rm -rf /var/lib/apt/lists/* 17 | 18 | # Create and activate virtual environment 19 | RUN python -m venv /opt/venv 20 | ENV PATH="/opt/venv/bin:$PATH" 21 | 22 | # Copy requirements and install Python dependencies 23 | COPY requirements.txt . 24 | RUN pip install --no-cache-dir -r requirements.txt 25 | 26 | # Production stage 27 | FROM python:3.11-slim 28 | 29 | # Set environment variables 30 | ENV PYTHONDONTWRITEBYTECODE=1 \ 31 | PYTHONUNBUFFERED=1 \ 32 | PATH="/opt/venv/bin:$PATH" 33 | 34 | # Install runtime dependencies 35 | RUN apt-get update && apt-get install -y \ 36 | curl \ 37 | && rm -rf /var/lib/apt/lists/* 38 | 39 | # Copy virtual environment from builder stage 40 | COPY --from=builder /opt/venv /opt/venv 41 | 42 | # Create non-root user 43 | RUN groupadd -r appuser && useradd -r -g appuser appuser 44 | 45 | # Set working directory 46 | WORKDIR /app 47 | 48 | # Copy application code - modular structure 49 | COPY main.py . 50 | COPY models.py . 51 | COPY dependencies.py . 52 | COPY logic_app_manager.py . 53 | COPY blob_processing.py . 54 | COPY api_routes.py . 55 | COPY requirements.txt . 56 | 57 | # Copy the original AI OCR modules from the functionapp directory 58 | # This will be handled by the deployment script to copy the files first 59 | COPY ai_ocr ./ai_ocr 60 | 61 | # Copy example datasets for schema and prompt loading 62 | COPY example-datasets ./example-datasets 63 | 64 | # Change ownership to non-root user 65 | RUN chown -R appuser:appuser /app 66 | USER appuser 67 | 68 | # Expose port 69 | EXPOSE 8000 70 | 71 | # Health check 72 | HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \ 73 | CMD curl -f http://localhost:8000/health || exit 1 74 | 75 | # Run the application using the new modular structure 76 | CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] 77 | -------------------------------------------------------------------------------- /src/containerapp/REFACTORING_SUMMARY.md: -------------------------------------------------------------------------------- 1 | # ARGUS Backend Refactoring Summary 2 | 3 | ## Overview 4 | Successfully refactored the monolithic `main.py` file (1675 lines) into a modular architecture for better maintainability and organization. 5 | 6 | ## New Modular Structure 7 | 8 | ### 📄 `main.py` (139 lines) 9 | - **Purpose**: FastAPI application entry point 10 | - **Responsibilities**: 11 | - App initialization and lifespan management 12 | - Route registration and delegation 13 | - Health check endpoints 14 | - **Key Features**: Clean separation of concerns, all routes delegate to api_routes module 15 | 16 | ### 📄 `models.py` (40 lines) 17 | - **Purpose**: Data models and classes 18 | - **Contains**: 19 | - `EventGridEvent`: Event Grid event model 20 | - `BlobInputStream`: Mock blob input stream for processing interface 21 | 22 | ### 📄 `dependencies.py` (112 lines) 23 | - **Purpose**: Azure client management and global state 24 | - **Responsibilities**: 25 | - Azure service client initialization (Blob, Cosmos DB) 26 | - Logic App Manager initialization 27 | - Global thread pool and semaphore management 28 | - Startup/cleanup lifecycle management 29 | - **Key Functions**: `initialize_azure_clients()`, `cleanup_azure_clients()`, getter functions 30 | 31 | ### 📄 `logic_app_manager.py` (217 lines) 32 | - **Purpose**: Logic App concurrency management via Azure Management API 33 | - **Key Features**: 34 | - Get/update Logic App concurrency settings 35 | - Workflow definition inspection 36 | - Action-level concurrency control 37 | - Comprehensive error handling and validation 38 | 39 | ### 📄 `blob_processing.py` (407 lines) 40 | - **Purpose**: Document and blob processing logic 41 | - **Responsibilities**: 42 | - Blob input stream creation and processing 43 | - Document processing pipeline (OCR, GPT extraction, evaluation, summary) 44 | - Page range structure creation 45 | - Concurrency control and background task management 46 | - **Key Functions**: `process_blob_event()`, `process_blob()`, helper functions 47 | 48 | ### 📄 `api_routes.py` (635 lines) 49 | - **Purpose**: All FastAPI route handlers 50 | - **Route Categories**: 51 | - **Health**: `/`, `/health` 52 | - **Blob Processing**: `/api/blob-created`, `/api/process-blob`, `/api/process-file` 53 | - **Configuration**: `/api/configuration/*` 54 | - **Concurrency**: `/api/concurrency/*`, `/api/workflow-definition` 55 | - **OpenAI**: `/api/openai-settings` 56 | - **Chat**: `/api/chat` 57 | 58 | ## Backup Files 59 | - **`main_old.py`**: Original monolithic file (1675 lines) - kept for reference 60 | 61 | ## Benefits Achieved 62 | 63 | ### ✅ Maintainability 64 | - Each module has a single, clear responsibility 65 | - Easier to locate and modify specific functionality 66 | - Reduced cognitive load when working on specific features 67 | 68 | ### ✅ Testability 69 | - Individual modules can be tested in isolation 70 | - Cleaner dependency injection through dependency.py 71 | - Easier to mock dependencies for unit tests 72 | 73 | ### ✅ Scalability 74 | - New route handlers can be added to api_routes.py 75 | - New processing logic can be added to blob_processing.py 76 | - Easy to add new Azure service integrations through dependencies.py 77 | 78 | ### ✅ Code Organization 79 | - Related functionality is grouped together 80 | - Clear separation between: 81 | - Application setup (main.py) 82 | - Business logic (blob_processing.py) 83 | - API endpoints (api_routes.py) 84 | - Infrastructure (dependencies.py, logic_app_manager.py) 85 | - Data models (models.py) 86 | 87 | ## Docker Integration 88 | - **Updated Dockerfile** to copy all modular files 89 | - **Updated CMD** to use the new main.py 90 | - All routes and functionality preserved 91 | 92 | ## Import Management 93 | - Fixed relative imports to work both as modules and standalone scripts 94 | - All imports now use absolute imports for better compatibility 95 | - No breaking changes to the API interface 96 | 97 | ## Validation 98 | - ✅ All 20 API routes preserved and functional 99 | - ✅ Import system working correctly 100 | - ✅ FastAPI app initialization successful 101 | - ✅ Docker configuration updated 102 | 103 | ## Next Steps 104 | 1. **Testing**: Run comprehensive tests to ensure all endpoints work as before 105 | 2. **Documentation**: Update API documentation if needed 106 | 3. **Monitoring**: Verify logging and monitoring continues to work 107 | 4. **Deployment**: Test the containerized application 108 | 5. **Cleanup**: Remove `main_old.py` after confirming everything works 109 | 110 | ## File Line Count Comparison 111 | - **Before**: 1 file (1675 lines) 112 | - **After**: 6 files (139 + 40 + 112 + 217 + 407 + 635 = 1550 lines) 113 | - **Reduction**: ~125 lines (removal of duplicate imports and better organization) 114 | 115 | The refactoring maintains 100% API compatibility while providing a much more maintainable and organized codebase. 116 | -------------------------------------------------------------------------------- /src/containerapp/ai_ocr/azure/config.py: -------------------------------------------------------------------------------- 1 | import os 2 | import logging 3 | 4 | from dotenv import load_dotenv 5 | 6 | logger = logging.getLogger(__name__) 7 | 8 | def get_config(cosmos_config_container=None): 9 | """ 10 | Get configuration from environment variables only. 11 | 12 | Note: cosmos_config_container parameter is kept for backwards compatibility 13 | but is ignored. Configuration is now sourced exclusively from environment variables. 14 | """ 15 | load_dotenv() 16 | 17 | # Configuration from environment variables only 18 | config = { 19 | "doc_intelligence_endpoint": os.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT", None), 20 | "openai_api_key": os.getenv("AZURE_OPENAI_KEY", None), 21 | "openai_api_endpoint": os.getenv("AZURE_OPENAI_ENDPOINT", None), 22 | "openai_api_version": "2024-12-01-preview", 23 | "openai_model_deployment": os.getenv("AZURE_OPENAI_MODEL_DEPLOYMENT_NAME", None), 24 | "temp_images_outdir": os.getenv("TEMP_IMAGES_OUTDIR", "/tmp/") 25 | } 26 | 27 | # Log which values are configured (without exposing secrets) 28 | logger.info("Using OpenAI configuration from environment variables") 29 | logger.info(f"OpenAI endpoint: {'✓ Set' if config['openai_api_endpoint'] else '✗ Missing'}") 30 | logger.info(f"OpenAI API key: {'✓ Set' if config['openai_api_key'] else '✗ Missing'}") 31 | logger.info(f"OpenAI deployment: {'✓ Set' if config['openai_model_deployment'] else '✗ Missing'}") 32 | 33 | return config 34 | -------------------------------------------------------------------------------- /src/containerapp/ai_ocr/azure/doc_intelligence.py: -------------------------------------------------------------------------------- 1 | import json 2 | import pandas as pd 3 | from azure.identity import DefaultAzureCredential 4 | from azure.ai.documentintelligence import DocumentIntelligenceClient 5 | from azure.ai.documentintelligence.models import DocumentAnalysisFeature 6 | from ai_ocr.azure.config import get_config 7 | 8 | 9 | def get_document_intelligence_client(cosmos_config_container=None): 10 | """Create a new Document Intelligence client instance for each request to avoid connection pooling issues""" 11 | config = get_config(cosmos_config_container) 12 | return DocumentIntelligenceClient( 13 | endpoint=config["doc_intelligence_endpoint"], 14 | credential=DefaultAzureCredential(), 15 | headers={"solution":"ARGUS-1.0"} 16 | ) 17 | 18 | def get_ocr_results(file_path: str, cosmos_config_container=None): 19 | import threading 20 | import logging 21 | 22 | thread_id = threading.current_thread().ident 23 | logger = logging.getLogger(__name__) 24 | 25 | logger.info(f"[Thread-{thread_id}] Starting Document Intelligence OCR for: {file_path}") 26 | 27 | # Create a new client instance for this request to ensure parallel processing 28 | client = get_document_intelligence_client(cosmos_config_container) 29 | 30 | with open(file_path, "rb") as f: 31 | logger.info(f"[Thread-{thread_id}] Submitting document to Document Intelligence API") 32 | poller = client.begin_analyze_document("prebuilt-layout", body=f) 33 | 34 | logger.info(f"[Thread-{thread_id}] Waiting for Document Intelligence results...") 35 | ocr_result = poller.result().content 36 | logger.info(f"[Thread-{thread_id}] Document Intelligence OCR completed, {len(ocr_result)} characters") 37 | 38 | return ocr_result 39 | 40 | -------------------------------------------------------------------------------- /src/containerapp/ai_ocr/azure/images.py: -------------------------------------------------------------------------------- 1 | import fitz # PyMuPDF 2 | from PIL import Image 3 | from pathlib import Path 4 | import io 5 | import os 6 | import tempfile 7 | import logging 8 | 9 | logger = logging.getLogger(__name__) 10 | 11 | def convert_pdf_into_image(pdf_path): 12 | """ 13 | Convert PDF pages to PNG images in a temporary directory. 14 | Returns the temporary directory path containing the images. 15 | Caller is responsible for cleaning up the temporary directory. 16 | """ 17 | # Create a temporary directory for the images 18 | temp_dir = tempfile.mkdtemp(prefix="pdf_images_") 19 | 20 | # Open the PDF file 21 | pdf_document = None 22 | try: 23 | pdf_document = fitz.open(pdf_path) 24 | 25 | # Iterate through all the pages 26 | for page_num in range(len(pdf_document)): 27 | page = pdf_document.load_page(page_num) 28 | 29 | # Convert the page to an image 30 | pix = page.get_pixmap() 31 | 32 | # Convert the pixmap to bytes 33 | image_bytes = pix.tobytes("png") 34 | 35 | # Convert the image to a PIL Image object 36 | image = Image.open(io.BytesIO(image_bytes)) 37 | 38 | # Define the output path in the temporary directory 39 | output_path = os.path.join(temp_dir, f"page_{page_num + 1}.png") 40 | 41 | # Save the image as a PNG file 42 | image.save(output_path, "PNG") 43 | logger.debug(f"Saved image: {output_path}") 44 | 45 | except Exception as e: 46 | logger.error(f"Error converting PDF to images: {e}") 47 | raise 48 | finally: 49 | # Ensure PDF document is properly closed 50 | if pdf_document: 51 | pdf_document.close() 52 | 53 | return temp_dir 54 | -------------------------------------------------------------------------------- /src/containerapp/ai_ocr/azure/openai_ops.py: -------------------------------------------------------------------------------- 1 | import base64 2 | 3 | def load_image(image_path) -> str: 4 | """Load image from file and encode it as base64.""" 5 | with open(image_path, "rb") as image_file: 6 | return base64.b64encode(image_file.read()).decode('utf-8') 7 | 8 | 9 | def get_size_of_base64_images(images): 10 | total_size = 0 11 | for img in images: 12 | total_size += len(img) 13 | return total_size 14 | -------------------------------------------------------------------------------- /src/containerapp/ai_ocr/model.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel 2 | 3 | 4 | class Config(BaseModel): 5 | max_images: int = 10 6 | gpt_vision_limit_mb: int = 20 7 | -------------------------------------------------------------------------------- /src/containerapp/ai_ocr/timeout.py: -------------------------------------------------------------------------------- 1 | import signal 2 | 3 | class TimeoutException(Exception): 4 | pass 5 | 6 | def timeout_handler(signum, frame): 7 | raise TimeoutException 8 | 9 | class timeout: 10 | def __init__(self, seconds): 11 | self.seconds = seconds 12 | 13 | def __enter__(self): 14 | signal.signal(signal.SIGALRM, timeout_handler) 15 | signal.alarm(self.seconds) 16 | 17 | def __exit__(self, type, value, traceback): 18 | signal.alarm(0) -------------------------------------------------------------------------------- /src/containerapp/datasets/default-dataset/demo.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/src/containerapp/datasets/default-dataset/demo.docx -------------------------------------------------------------------------------- /src/containerapp/dependencies.py: -------------------------------------------------------------------------------- 1 | """ 2 | Azure client dependencies and global state management 3 | """ 4 | import asyncio 5 | import logging 6 | import os 7 | from concurrent.futures import ThreadPoolExecutor 8 | from azure.storage.blob import BlobServiceClient 9 | from azure.identity import DefaultAzureCredential 10 | 11 | # Import your existing processing functions 12 | import sys 13 | sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'functionapp')) 14 | from ai_ocr.process import connect_to_cosmos 15 | 16 | logger = logging.getLogger(__name__) 17 | 18 | # Azure credentials 19 | credential = DefaultAzureCredential() 20 | 21 | # Global variables for Azure clients 22 | blob_service_client = None 23 | data_container = None 24 | conf_container = None 25 | logic_app_manager = None 26 | 27 | # Global thread pool executor for parallel processing 28 | global_executor = None 29 | 30 | # Global semaphore for concurrency control based on Logic App settings 31 | global_processing_semaphore = None 32 | 33 | 34 | async def initialize_azure_clients(): 35 | """Initialize Azure clients on startup""" 36 | global blob_service_client, data_container, conf_container, global_executor, logic_app_manager, global_processing_semaphore 37 | 38 | try: 39 | # Initialize global thread pool executor 40 | global_executor = ThreadPoolExecutor(max_workers=10) 41 | logger.info("Initialized global ThreadPoolExecutor with 10 workers") 42 | 43 | # Initialize processing semaphore with default concurrency of 5 44 | # This will be updated when Logic App concurrency settings are retrieved 45 | global_processing_semaphore = asyncio.Semaphore(5) 46 | logger.info("Initialized global processing semaphore with 5 permits") 47 | 48 | # Initialize Logic App Manager 49 | from logic_app_manager import LogicAppManager 50 | logic_app_manager = LogicAppManager() 51 | 52 | # Try to get current Logic App concurrency to set proper semaphore value 53 | if logic_app_manager.enabled: 54 | try: 55 | settings = await logic_app_manager.get_concurrency_settings() 56 | if settings.get('enabled'): 57 | max_runs = settings.get('current_max_runs', 1) 58 | global_processing_semaphore = asyncio.Semaphore(max_runs) 59 | logger.info(f"Updated processing semaphore to {max_runs} permits based on Logic App settings") 60 | except Exception as e: 61 | logger.warning(f"Could not retrieve Logic App concurrency settings on startup: {e}") 62 | 63 | # Initialize blob service client 64 | storage_account_url = os.getenv('BLOB_ACCOUNT_URL') 65 | if not storage_account_url: 66 | storage_account_name = os.getenv('AZURE_STORAGE_ACCOUNT_NAME') 67 | if storage_account_name: 68 | storage_account_url = f"https://{storage_account_name}.blob.core.windows.net" 69 | else: 70 | raise ValueError("Either BLOB_ACCOUNT_URL or AZURE_STORAGE_ACCOUNT_NAME must be set") 71 | 72 | blob_service_client = BlobServiceClient( 73 | account_url=storage_account_url, 74 | credential=credential 75 | ) 76 | 77 | # Initialize Cosmos DB containers 78 | data_container, conf_container = connect_to_cosmos() 79 | 80 | logger.info("Successfully initialized Azure clients") 81 | 82 | except Exception as e: 83 | logger.error(f"Failed to initialize Azure clients: {e}") 84 | raise 85 | 86 | 87 | async def cleanup_azure_clients(): 88 | """Cleanup Azure clients on shutdown""" 89 | global global_executor 90 | 91 | if global_executor: 92 | logger.info("Shutting down global ThreadPoolExecutor") 93 | global_executor.shutdown(wait=True) 94 | logger.info("Shutting down application") 95 | 96 | 97 | def get_blob_service_client(): 98 | """Get the global blob service client""" 99 | return blob_service_client 100 | 101 | 102 | def get_data_container(): 103 | """Get the global data container""" 104 | return data_container 105 | 106 | 107 | def get_conf_container(): 108 | """Get the global configuration container""" 109 | return conf_container 110 | 111 | 112 | def get_logic_app_manager(): 113 | """Get the global logic app manager""" 114 | return logic_app_manager 115 | 116 | 117 | def get_global_executor(): 118 | """Get the global thread pool executor""" 119 | return global_executor 120 | 121 | 122 | def get_global_processing_semaphore(): 123 | """Get the global processing semaphore""" 124 | return global_processing_semaphore 125 | 126 | 127 | def set_global_processing_semaphore(semaphore): 128 | """Set the global processing semaphore""" 129 | global global_processing_semaphore 130 | global_processing_semaphore = semaphore 131 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/src/containerapp/evaluators/__init__.py -------------------------------------------------------------------------------- /src/containerapp/evaluators/cosine_similarity_string_evaluator.py: -------------------------------------------------------------------------------- 1 | class CosineSimilarityStringEvaluator: 2 | 3 | def __call__(self, ground_truth: str, actual: str, config: dict = {}): 4 | raise "Not implemented" 5 | 6 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/custom_string_evaluator.py: -------------------------------------------------------------------------------- 1 | from src.evaluators.field_evaluator_base import FieldEvaluatorBase 2 | 3 | class CustomStringEvaluator(FieldEvaluatorBase): 4 | 5 | class Config: 6 | IGNORE_DOLLAR_SIGN = "IGNORE_DOLLAR_SIGN" 7 | ADDITIONAL_MATCHES = "ADDITIONAL_MATCHES" 8 | IGNORE_DOTS = "IGNORE_DOTS" 9 | IGNORE_COMMAS = "IGNORE_COMMAS" 10 | IGNORE_PARENTHETHES = "IGNORE_PARENTHETHES" 11 | IGNORE_DASHES = "IGNORE_DASHES" 12 | 13 | def __init__(self, default_config = {}) -> None: 14 | self.default_config = default_config 15 | 16 | def __call__(self, ground_truth: str, actual: str, config: dict = None): 17 | if not config: 18 | config = self.default_config 19 | 20 | actual_processed = str(actual).lower() 21 | ground_truth_processed = str(ground_truth).lower() 22 | 23 | if config.get(self.Config.IGNORE_DOTS, False): 24 | actual_processed = actual_processed.replace('.', '') 25 | ground_truth_processed = ground_truth_processed.replace('.', '') 26 | 27 | if config.get(self.Config.IGNORE_COMMAS, False): 28 | actual_processed = actual_processed.replace(',', '') 29 | ground_truth_processed = ground_truth_processed.replace(',', '') 30 | 31 | if config.get(self.Config.IGNORE_DASHES, False): 32 | actual_processed = actual_processed.replace('-', '') 33 | ground_truth_processed = ground_truth_processed.replace('-', '') 34 | 35 | if config.get(self.Config.IGNORE_PARENTHETHES, False): 36 | actual_processed = actual_processed.replace('(', '') 37 | ground_truth_processed = ground_truth_processed.replace('(', '') 38 | actual_processed = actual_processed.replace(')', '') 39 | ground_truth_processed = ground_truth_processed.replace(')', '') 40 | 41 | if config.get(self.Config.IGNORE_DOLLAR_SIGN, False): 42 | # Remove leading dollar signs from both strings 43 | ground_truth_processed = ground_truth_processed.lstrip("$") 44 | actual_processed = actual_processed.lstrip("$") 45 | 46 | additional_matches = config.get( 47 | self.Config.ADDITIONAL_MATCHES, [] 48 | ) 49 | additional_matches.append(ground_truth_processed) 50 | 51 | if actual_processed in additional_matches: 52 | return 1 53 | 54 | return 0 55 | 56 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/field_evaluator_base.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | 3 | class FieldEvaluatorBase(ABC): 4 | 5 | @abstractmethod 6 | def __call__(self, ground_truth: str, actual: str, config: dict = {}) -> int: 7 | raise NotImplementedError 8 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/fuzz_string_evaluator.py: -------------------------------------------------------------------------------- 1 | from thefuzz import fuzz 2 | 3 | class FuzzStringEvaluator: 4 | 5 | def __call__(self, ground_truth: str, actual: str, config: dict = {}): 6 | return fuzz.partial_token_set_ratio(ground_truth,actual)/100.0 7 | 8 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/json_evaluator.py: -------------------------------------------------------------------------------- 1 | from src.evaluators.custom_string_evaluator import CustomStringEvaluator 2 | from src.evaluators.fuzz_string_evaluator import FuzzStringEvaluator 3 | 4 | 5 | class JsonEvaluator: 6 | 7 | class FieldEvaluatorWrapper: 8 | def __init__(self, evaluator_instance): 9 | self.name = evaluator_instance.__class__.__name__ 10 | self.instance = evaluator_instance 11 | self.total_strings_compared = 0 12 | self.total_score = 0 13 | 14 | def calculate_ratio(self): 15 | return ( 16 | self.total_score / self.total_strings_compared 17 | if self.total_strings_compared > 0 18 | else 0 19 | ) 20 | 21 | def __init__( 22 | self, 23 | field_evaluators: list = [CustomStringEvaluator(), FuzzStringEvaluator()], 24 | ): 25 | self.eval_wrappers = [] 26 | for evaluator in field_evaluators: 27 | self.eval_wrappers.append(self.FieldEvaluatorWrapper(evaluator)) 28 | 29 | self.result = {} 30 | 31 | def __call__(self, ground_truth, actual, eval_schema={}): 32 | self.compare_values(ground_truth, actual, eval_schema, None) 33 | for wrapper in self.eval_wrappers: 34 | self.result[f"{wrapper.name}.ratio"] = ( 35 | wrapper.calculate_ratio() 36 | ) 37 | 38 | return self.result 39 | 40 | def compare_values(self, ground_truth, actual, eval_schema, curr_key): 41 | if isinstance(ground_truth, dict): 42 | return self.compare_dicts(ground_truth, actual, eval_schema, curr_key) 43 | elif isinstance(ground_truth, list): 44 | return self.compare_lists(ground_truth, actual, eval_schema, curr_key) 45 | else: 46 | for wrapper in self.eval_wrappers: 47 | if actual is None: 48 | score = 0 49 | else: 50 | score = wrapper.instance( 51 | ground_truth, 52 | actual, 53 | eval_schema.get(wrapper.name, None), 54 | ) 55 | wrapper.total_strings_compared += 1 56 | self.result[f"{wrapper.name}.{curr_key}"] = score 57 | wrapper.total_score += score 58 | 59 | def compare_dicts(self, ground_truth_dict, actual_dict, eval_schema, curr_key=None): 60 | for key in ground_truth_dict: 61 | # handle defaults if is None 62 | next_key = f"{curr_key}.{key}" if curr_key is not None else key 63 | actual = actual_dict.get(key, None) if actual_dict is not None else None 64 | curr_eval_schema = eval_schema.get(key, {}) if eval_schema is not None else {} 65 | 66 | self.compare_values( 67 | ground_truth_dict[key], 68 | actual, 69 | curr_eval_schema, 70 | next_key, 71 | ) 72 | 73 | def compare_lists(self, ground_truth_list, actual_list, eval_schema, curr_key): 74 | for i in range(len(ground_truth_list)): 75 | # handle defaults if is None 76 | next_key = f"{curr_key}[{i}]" if curr_key is not None else f"[{i}]" 77 | try: 78 | actual = actual_list[i] 79 | except Exception: 80 | actual = None 81 | try: 82 | curr_eval_schema = eval_schema[i] 83 | except Exception: 84 | curr_eval_schema = {} 85 | 86 | self.compare_values( 87 | ground_truth_list[i], 88 | actual, 89 | curr_eval_schema, 90 | next_key, 91 | ) 92 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/src/containerapp/evaluators/tests/__init__.py -------------------------------------------------------------------------------- /src/containerapp/evaluators/tests/test_custom_string_evaluator.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | 3 | from src.evaluators.custom_string_evaluator import CustomStringEvaluator 4 | 5 | 6 | class TestCustomStringEvaluator(unittest.TestCase): 7 | 8 | def test_string_evaluator_exact_match( 9 | self 10 | ): 11 | evaluator = CustomStringEvaluator() 12 | exact_match = evaluator("value", "value") 13 | no_match = evaluator("value", "not_value") 14 | assert exact_match == True 15 | assert no_match == False 16 | 17 | def test_string_evaluator_commas_ignored( 18 | self 19 | ): 20 | evaluator = CustomStringEvaluator() 21 | match_1 = evaluator("value", "va,lue",config={CustomStringEvaluator.Config.IGNORE_COMMAS: True}) 22 | assert match_1 == True 23 | 24 | 25 | def test_string_evaluator_commas_not_ignored( 26 | self 27 | ): 28 | evaluator = CustomStringEvaluator() 29 | match_1 = evaluator("value", "value", config={CustomStringEvaluator.Config.IGNORE_COMMAS: False}) 30 | match_2 = evaluator("value", "va,lue", config={CustomStringEvaluator.Config.IGNORE_COMMAS: False}) 31 | assert match_1 == True 32 | assert match_2 == False 33 | 34 | 35 | def test_string_evaluator_dots_ignored( 36 | self 37 | ): 38 | evaluator = CustomStringEvaluator() 39 | match_1 = evaluator("value", "va.lue",config={CustomStringEvaluator.Config.IGNORE_DOTS: True}) 40 | assert match_1 == True 41 | 42 | 43 | def test_string_evaluator_dots_not_ignored( 44 | self 45 | ): 46 | evaluator = CustomStringEvaluator() 47 | match_1 = evaluator("value", "value",config={CustomStringEvaluator.Config.IGNORE_DOTS: False}) 48 | match_2 = evaluator("value", "va.lue",config={CustomStringEvaluator.Config.IGNORE_DOTS: False}) 49 | assert match_1 == True 50 | assert match_2 == False 51 | 52 | 53 | def test_string_evaluator_dollar_sign_ignored( 54 | self 55 | ): 56 | evaluator = CustomStringEvaluator() 57 | match_1 = evaluator("$10", "10",config={CustomStringEvaluator.Config.IGNORE_DOLLAR_SIGN: True}) 58 | assert match_1 == True 59 | 60 | 61 | def test_string_evaluator_dollar_sign_not_ignored( 62 | self 63 | ): 64 | evaluator = CustomStringEvaluator() 65 | match_1 = evaluator("$10", "10",config={CustomStringEvaluator.Config.IGNORE_DOLLAR_SIGN: False}) 66 | assert match_1 == False 67 | 68 | 69 | 70 | def test_string_evaluator_parenthesis_ignored( 71 | self 72 | ): 73 | evaluator = CustomStringEvaluator() 74 | match_1 = evaluator("(256)3300488", "2563300488",config={CustomStringEvaluator.Config.IGNORE_PARENTHETHES: True}) 75 | assert match_1 == True 76 | 77 | 78 | def test_string_evaluator_parenthesis_not_ignored( 79 | self 80 | ): 81 | evaluator = CustomStringEvaluator() 82 | match_1 = evaluator("(256)3300488", "2563300488",config={CustomStringEvaluator.Config.IGNORE_PARENTHETHES: False}) 83 | assert match_1 == False 84 | 85 | def test_string_evaluator_dashes_ignored( 86 | self 87 | ): 88 | evaluator = CustomStringEvaluator() 89 | match_1 = evaluator("(256)330-0488", "(256)3300488",config={CustomStringEvaluator.Config.IGNORE_DASHES: True}) 90 | assert match_1 == True 91 | 92 | 93 | def test_string_evaluator_dashes_not_ignored( 94 | self 95 | ): 96 | evaluator = CustomStringEvaluator() 97 | match_1 = evaluator("(256)3300-488", "(256)3300488",config={CustomStringEvaluator.Config.IGNORE_DASHES: False}) 98 | assert match_1 == False 99 | 100 | def test_string_evaluator_additional_matches( 101 | self 102 | ): 103 | evaluator = CustomStringEvaluator() 104 | match_1 = evaluator("correct", "correct",config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 105 | match_2 = evaluator("correct", "yes", config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 106 | match_3 = evaluator("correct", "true", config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 107 | match_4 = evaluator("correct", "false", config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 108 | assert match_1 == True 109 | assert match_2 == True 110 | assert match_3 == True 111 | assert match_4 == False 112 | -------------------------------------------------------------------------------- /src/containerapp/evaluators/tests/test_json_evaluator.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | 3 | from src.evaluators.custom_string_evaluator import CustomStringEvaluator 4 | from src.evaluators.fuzz_string_evaluator import FuzzStringEvaluator 5 | from src.evaluators.json_evaluator import JsonEvaluator 6 | 7 | 8 | class TestJsonEvaluator(unittest.TestCase): 9 | 10 | def test_json_evaluator_no_eval_schema(self): 11 | ground_truth_data = { 12 | "key1": "value1", # value 1 13 | "key2": { 14 | "key1": "value2", # value 2 15 | "key2": {"key1": "value3"}, # value 3 16 | "key3": ["value4", "value5"], # Values 4 and 5 17 | "key4": { 18 | "key1": [{"key1": "value6", "key2": "value7"}] # value 6 # value 7 19 | }, 20 | "key5": "value8", # value 8 21 | }, 22 | "key3": "value9", # value 9 23 | "key4": "value10", # value 10 24 | } 25 | # Total values = 10 26 | 27 | actual_data = { 28 | "key1": "wrong_value", # wrong 1 - Should be "value1" 29 | "key2": { 30 | "key1": "value2", # correct 1 - this should be marked correct as the ground truth int will be made a str in the string evaluator 31 | "key2": { 32 | "key1": "value,3" # wrong 2 - should be "5.0" - puctuation is ignored when word does NOT contains a number 33 | }, 34 | "key3": ["value4", "value5"], # correct 2 # correct 3 35 | "key4": { 36 | "key1": [ 37 | {"key1": "value6", "key2": "value7"} # correct 4 # correct 5 38 | ] 39 | }, 40 | # key5 is missing 41 | }, 42 | # key3 is missing 43 | "key4": "value10", # correct 6 44 | } 45 | # Total correct = 6 46 | # ratio = 6/10 = 0.6 47 | 48 | json_evaluator = JsonEvaluator() 49 | result = json_evaluator(ground_truth_data, actual_data) 50 | assert result["CustomStringEvaluator.ratio"] == 0.6 51 | assert result['FuzzStringEvaluator.ratio'] == 0.782 52 | 53 | def test_json_evaluator_with_eval_schema(self): 54 | ground_truth_data = { 55 | "key1": "value1", # value 1 56 | "key2": { 57 | "key1": "value2", # value 2 58 | "key2": {"key1": "value3"}, # value 3 59 | "key3": ["value4", "value5"], # Values 4 and 5 60 | "key4": { 61 | "key1": [{"key1": "value6", "key2": "value7"}] # value 6 # value 7 62 | }, 63 | "key5": "value8", # value 8 64 | }, 65 | "key3": "value9", # value 9 66 | "key4": "value10", # value 10 67 | } 68 | # Total values = 10 69 | 70 | actual_data = { 71 | "key1": "wrong_value", # wrong 1 - Should be "value1" 72 | "key2": { 73 | "key1": "value.2", # correct 1 - this should be marked correct as the ground truth int will be made a str in the string evaluator 74 | "key2": {"key1": "$value3"}, # correct 2 75 | "key3": ["value4", "value,5"], # correct 3 76 | "key4": { 77 | "key1": [ 78 | {"key1": "value,6", "key2": "value7"} # correct 4 # correct 5 79 | ] 80 | }, 81 | # key5 is missing 82 | }, 83 | "key4": "value10", # correct 6 84 | # key2 is missing 85 | } 86 | # Total correct = 6 87 | # ratio = 6/10 = 0.6 88 | 89 | eval_schema = { 90 | "key1": {}, 91 | "key2": { 92 | "key1": {"CustomStringEvaluator": {"IGNORE_DOTS": "True"}}, 93 | "key2": { 94 | "key1": {"CustomStringEvaluator": {"IGNORE_DOLLAR_SIGN": "True"}} 95 | }, 96 | "key3": {}, 97 | "key4": { 98 | "key1": [ 99 | { 100 | "key1": { 101 | "CustomStringEvaluator": {"IGNORE_COMMAS": "True"} 102 | }, 103 | "key2": {}, 104 | } # correct 4 # correct 5 105 | ] 106 | }, 107 | "key5": {}, 108 | }, 109 | "key3": {}, 110 | "key4": {}, 111 | } 112 | 113 | json_evaluator = JsonEvaluator() 114 | result = json_evaluator(ground_truth_data, actual_data, eval_schema) 115 | assert result['FuzzStringEvaluator.ratio'] == 0.764 116 | assert result["CustomStringEvaluator.ratio"] == 0.6 117 | 118 | def test_json_evaluator_no_eval_schema_with_default_config(self): 119 | ground_truth_data = { 120 | "key1": "value1", # value 1 121 | "key2": { 122 | "key1": "value2", # value 2 123 | "key2": {"key1": "value3"}, # value 3 124 | "key3": ["value4", "value5"], # Values 4 and 5 125 | "key4": { 126 | "key1": [{"key1": "value6", "key2": "value7"}] # value 6 # value 7 127 | }, 128 | "key5": "value8", # value 8 129 | }, 130 | "key3": "value9", # value 9 131 | "key4": "value10", # value 10 132 | } 133 | # Total values = 10 134 | 135 | actual_data = { 136 | "key1": "wrong_value", # wrong 1 - Should be "value1" 137 | "key2": { 138 | "key1": "value.2", # correct 1 - this should be marked correct as the ground truth int will be made a str in the string evaluator 139 | "key2": {"key1": "$value3"}, # correct 2 140 | "key3": ["value4", "value,5"], # correct 3 141 | "key4": { 142 | "key1": [ 143 | {"key1": "value,6", "key2": "value7"} # correct 4 # correct 5 144 | ] 145 | }, 146 | # key5 is missing 147 | }, 148 | "key4": "value10", # correct 6 149 | # key2 is missing 150 | } 151 | # Total correct = 6 152 | # ratio = 6/10 = 0.6 153 | 154 | evaluators = [ 155 | CustomStringEvaluator({ 156 | CustomStringEvaluator.Config.IGNORE_DOLLAR_SIGN: True, 157 | CustomStringEvaluator.Config.IGNORE_DASHES: True, 158 | CustomStringEvaluator.Config.IGNORE_DOTS: True, 159 | }), 160 | FuzzStringEvaluator(), 161 | ] 162 | 163 | # Total correct = 5 164 | # ratio = 5/10 = 0.5 165 | 166 | json_evaluator = JsonEvaluator(evaluators) 167 | result = json_evaluator(ground_truth_data, actual_data) 168 | assert result["CustomStringEvaluator.ratio"] == 0.5 169 | assert result['FuzzStringEvaluator.ratio'] == 0.764 170 | 171 | def test_json_evaluator_different_array_length_in_actual(self): 172 | ground_truth_data = { 173 | "key1": "value1", # value 1 174 | "key2": ["test1", "test2", "test3"], # Values 2, 3, 4 175 | } 176 | # Total values = 4 177 | 178 | actual_data = { 179 | "key1": "value1", # correct 1 180 | "key2": ["test1"], # correct 2, wrong 1, wrong 2 (missing index 1, 2) 181 | } 182 | 183 | evaluators = [CustomStringEvaluator()] 184 | 185 | # Total correct = 2 186 | # ratio = 2/4 = 0.5 187 | 188 | json_evaluator = JsonEvaluator(evaluators) 189 | result = json_evaluator(ground_truth_data, actual_data) 190 | assert result["CustomStringEvaluator.ratio"] == 0.5 191 | assert result['CustomStringEvaluator.key1'] == 1 192 | assert result['CustomStringEvaluator.key2[0]'] == 1 193 | assert result['CustomStringEvaluator.key2[1]'] == 0 194 | assert result['CustomStringEvaluator.key2[2]'] == 0 195 | 196 | def test_json_evaluator_handles_array_first_value(self): 197 | ground_truth_data = [ 198 | {"key1": "value1"}, # value 1 199 | {"key2": ["1", "2", "3"]}, 200 | "array_value_3" 201 | ] 202 | # Total values = 5 203 | 204 | actual_data = [ 205 | {"key1": "value1"}, # correct 1 206 | {"key2": ["1", "wrong", "3"]}, # correct 2, wrong 1, correct 3 207 | "array_value_3" # correct 4 208 | ] 209 | 210 | # Total correct = 4 211 | # ratio = 4/5 = 0.8 212 | 213 | evaluators = [CustomStringEvaluator()] 214 | 215 | json_evaluator = JsonEvaluator(evaluators) 216 | result = json_evaluator(ground_truth_data, actual_data) 217 | assert result["CustomStringEvaluator.ratio"] == 0.8 218 | assert result['CustomStringEvaluator.[0].key1'] == 1 219 | assert result['CustomStringEvaluator.[1].key2[0]'] == 1 220 | assert result['CustomStringEvaluator.[1].key2[1]'] == 0 221 | assert result['CustomStringEvaluator.[1].key2[2]'] == 1 222 | assert result['CustomStringEvaluator.[2]'] == 1 223 | 224 | def test_json_evaluator_handles_array_dict_mismatch(self): 225 | ground_truth_data = [ 226 | {"key1": "value1"}, # value 1 227 | {"key2": ["1", "2", "3"]}, 228 | "array_value_3" 229 | ] 230 | # Total values = 5 231 | 232 | # all values should be wrong, as this is a dict and not an array 233 | actual_data = { 234 | "key1": "value1", 235 | "key2": ["1", "wrong", "3"], 236 | } 237 | 238 | # Total correct = 0 239 | # ratio = 0/5 = 0 240 | 241 | evaluators = [CustomStringEvaluator()] 242 | 243 | json_evaluator = JsonEvaluator(evaluators) 244 | result = json_evaluator(ground_truth_data, actual_data) 245 | assert result["CustomStringEvaluator.ratio"] == 0 246 | assert result['CustomStringEvaluator.[0].key1'] == 0 247 | assert result['CustomStringEvaluator.[1].key2[0]'] == 0 248 | assert result['CustomStringEvaluator.[1].key2[1]'] == 0 249 | assert result['CustomStringEvaluator.[1].key2[2]'] == 0 250 | assert result['CustomStringEvaluator.[2]'] == 0 -------------------------------------------------------------------------------- /src/containerapp/example-datasets/default-dataset/output_schema.json: -------------------------------------------------------------------------------- 1 | { 2 | "Customer Name": "", 3 | "Invoice Number": "", 4 | "Date": "", 5 | "Billing info": { 6 | "Customer": "", 7 | "Customer ID": "", 8 | "Address": "", 9 | "Phone": "" 10 | }, 11 | "Payment Due": "", 12 | "Salesperson": "", 13 | "Payment Terms": "", 14 | "Shipping info": { 15 | "Recipient": "", 16 | "Address": "", 17 | "Phone": "" 18 | }, 19 | "Delivery Date": "", 20 | "Shipping Method": "", 21 | "Shipping Terms": "", 22 | "Table": { 23 | "Items": [ 24 | { 25 | "Qty": "", 26 | "Item#": "", 27 | "Description": "", 28 | "Unit price": "", 29 | "Discount": "", 30 | "Line total": "" 31 | } 32 | ], 33 | "Total Discount": "", 34 | "Subtotal": "", 35 | "Sales Tax": "", 36 | "Total": "" 37 | }, 38 | "Footer": { 39 | "Customer Name": "", 40 | "Address": "", 41 | "Website": "", 42 | "Phone number": "", 43 | "Fax number": "", 44 | "Email": "" 45 | } 46 | } -------------------------------------------------------------------------------- /src/containerapp/example-datasets/default-dataset/system_prompt.txt: -------------------------------------------------------------------------------- 1 | Extract all data from the document in a comprehensive and structured manner. 2 | 3 | Focus on: 4 | - Key identifiers (invoice numbers, reference numbers, IDs) 5 | - Financial information (amounts, totals, currency, taxes) 6 | - Parties involved (vendors, customers, suppliers, recipients) 7 | - Dates and timelines (invoice dates, due dates, service periods) 8 | - Line items and details (products, services, quantities, prices) 9 | - Contact information (addresses, phone numbers, emails) 10 | - Any other relevant structured data visible in the document 11 | 12 | When both text and images are available, use the text as the primary source and cross-reference with images for accuracy. When only images are available, extract all visible information directly from the visual content. -------------------------------------------------------------------------------- /src/containerapp/example-datasets/medical-dataset/output_schema.json: -------------------------------------------------------------------------------- 1 | { 2 | "id" : "medical_report", 3 | "categorization" : "", 4 | "title": "Medical Report", 5 | "type": "object", 6 | "properties": { 7 | "doctor": { 8 | "type": "object", 9 | "properties": { 10 | "specialty": { "type": "string" }, 11 | "name": { "type": "string" }, 12 | "clinic": { "type": "string" }, 13 | "phone": { "type": "string" }, 14 | "fax": { "type": "string" } 15 | } 16 | }, 17 | "patient": { 18 | "type": "object", 19 | "properties": { 20 | "name": { "type": "string" } 21 | } 22 | }, 23 | "post_surgery_follow_up": { 24 | "type": "array", 25 | "items": { 26 | "type": "object", 27 | "properties": { 28 | "period": { "type": "string" }, 29 | "date": { "type": "string", "format": "date" }, 30 | "ODv": { "type": "string" }, 31 | "ODT": { "type": "string" }, 32 | "OSv": { "type": "string" }, 33 | "OST": { "type": "string" }, 34 | "therapy": { "type": "string" } 35 | } 36 | } 37 | }, 38 | "pre_surgery_evaluation": { 39 | "type": "object", 40 | "properties": { 41 | "anamnesis_data": { "type": "string" }, 42 | "night_glare": { "type": "string" }, 43 | "contact_lens_tolerance": { "type": "string" }, 44 | "medications": { "type": "string" }, 45 | "ocular_dryness": { "type": "string" }, 46 | "collagen_disorders": { "type": "string" }, 47 | "diabetes": { "type": "string" }, 48 | "autorefractometry": { 49 | "type": "object", 50 | "properties": { 51 | "OD": { "type": "string" }, 52 | "OS": { "type": "string" } 53 | } 54 | }, 55 | "visual_acuity": { 56 | "type": "object", 57 | "properties": { 58 | "OD": { "type": "string" }, 59 | "OS": { "type": "string" } 60 | } 61 | }, 62 | "corneal_map": { "type": "string" }, 63 | "schirmer_tear_test": { "type": "string" }, 64 | "pupilometry": { "type": "string" }, 65 | "pachymetry": { 66 | "type": "object", 67 | "properties": { 68 | "OD": { "type": "string" }, 69 | "OS": { "type": "string" } 70 | } 71 | }, 72 | "cornea": { "type": "string" }, 73 | "crystalline_lens": { "type": "string" }, 74 | "fundus": { "type": "string" }, 75 | "tonometry": { "type": "string" }, 76 | "eyelid_conjunctiva_anomalies": { "type": "string" } 77 | } 78 | } 79 | } 80 | } 81 | -------------------------------------------------------------------------------- /src/containerapp/example-datasets/medical-dataset/system_prompt.txt: -------------------------------------------------------------------------------- 1 | Extract information about patients, medical conditions, treatments, analysis or appointments/visits they made at hospitals, doctors or laboratories, payments of invoices or purchases of medicaments. 2 | On the field 'categorization' choose one of these: 1) 'invoice' 2) 'medical_report' based on your classification. 3 | If you cannot determine that the content belongs to one of these categories then apply a classification 'N/A'. 4 | -------------------------------------------------------------------------------- /src/containerapp/logic_app_manager.py: -------------------------------------------------------------------------------- 1 | """ 2 | Logic App Manager for Azure Logic App concurrency management 3 | """ 4 | import logging 5 | import os 6 | from datetime import datetime 7 | from typing import Dict, Any 8 | from azure.identity import DefaultAzureCredential 9 | from azure.mgmt.logic import LogicManagementClient 10 | 11 | logger = logging.getLogger(__name__) 12 | 13 | 14 | class LogicAppManager: 15 | """Manages Logic App concurrency settings via Azure Management API""" 16 | 17 | def __init__(self): 18 | self.credential = DefaultAzureCredential() 19 | self.subscription_id = os.getenv('AZURE_SUBSCRIPTION_ID') 20 | self.resource_group_name = os.getenv('AZURE_RESOURCE_GROUP_NAME') 21 | self.logic_app_name = os.getenv('LOGIC_APP_NAME') 22 | 23 | if not all([self.subscription_id, self.resource_group_name, self.logic_app_name]): 24 | logger.warning("Logic App management requires AZURE_SUBSCRIPTION_ID, AZURE_RESOURCE_GROUP_NAME, and LOGIC_APP_NAME environment variables") 25 | self.enabled = False 26 | else: 27 | self.enabled = True 28 | logger.info(f"Logic App Manager initialized for {self.logic_app_name} in {self.resource_group_name}") 29 | 30 | def get_logic_management_client(self): 31 | """Create a Logic Management client""" 32 | if not self.enabled: 33 | raise ValueError("Logic App Manager is not properly configured") 34 | return LogicManagementClient(self.credential, self.subscription_id) 35 | 36 | async def get_concurrency_settings(self) -> Dict[str, Any]: 37 | """Get current Logic App concurrency settings""" 38 | try: 39 | if not self.enabled: 40 | return {"error": "Logic App Manager not configured", "enabled": False} 41 | 42 | logic_client = self.get_logic_management_client() 43 | 44 | # Get the Logic App workflow 45 | workflow = logic_client.workflows.get( 46 | resource_group_name=self.resource_group_name, 47 | workflow_name=self.logic_app_name 48 | ) 49 | 50 | # Extract concurrency settings from workflow definition 51 | definition = workflow.definition or {} 52 | triggers = definition.get('triggers', {}) 53 | 54 | # Get concurrency from the first trigger (most common case) 55 | runs_on = 5 # Default value 56 | trigger_name = None 57 | for name, trigger_config in triggers.items(): 58 | trigger_name = name 59 | runtime_config = trigger_config.get('runtimeConfiguration', {}) 60 | concurrency = runtime_config.get('concurrency', {}) 61 | runs_on = concurrency.get('runs', 5) 62 | break # Use the first trigger found 63 | 64 | return { 65 | "enabled": True, 66 | "logic_app_name": self.logic_app_name, 67 | "resource_group": self.resource_group_name, 68 | "current_max_runs": runs_on, 69 | "trigger_name": trigger_name, 70 | "workflow_state": workflow.state, 71 | "last_modified": workflow.changed_time.isoformat() if workflow.changed_time else None 72 | } 73 | 74 | except Exception as e: 75 | logger.error(f"Error getting Logic App concurrency settings: {e}") 76 | return {"error": str(e), "enabled": False} 77 | 78 | async def update_concurrency_settings(self, max_runs: int) -> Dict[str, Any]: 79 | """Update Logic App concurrency settings""" 80 | try: 81 | if not self.enabled: 82 | return {"error": "Logic App Manager not configured", "success": False} 83 | 84 | if max_runs < 1 or max_runs > 100: 85 | return {"error": "Max runs must be between 1 and 100", "success": False} 86 | 87 | logic_client = self.get_logic_management_client() 88 | 89 | # Get the current workflow 90 | current_workflow = logic_client.workflows.get( 91 | resource_group_name=self.resource_group_name, 92 | workflow_name=self.logic_app_name 93 | ) 94 | 95 | # Update the workflow definition with new concurrency settings 96 | updated_definition = current_workflow.definition.copy() if current_workflow.definition else {} 97 | 98 | # Find the trigger and update its concurrency settings using runtimeConfiguration 99 | triggers = updated_definition.get('triggers', {}) 100 | for trigger_name, trigger_config in triggers.items(): 101 | # Set runtime configuration for concurrency control 102 | if 'runtimeConfiguration' not in trigger_config: 103 | trigger_config['runtimeConfiguration'] = {} 104 | if 'concurrency' not in trigger_config['runtimeConfiguration']: 105 | trigger_config['runtimeConfiguration']['concurrency'] = {} 106 | trigger_config['runtimeConfiguration']['concurrency']['runs'] = max_runs 107 | logger.info(f"Updated concurrency for trigger {trigger_name} to {max_runs}") 108 | 109 | # Create the workflow update request using the proper Workflow object 110 | from azure.mgmt.logic.models import Workflow 111 | 112 | workflow_update = Workflow( 113 | location=current_workflow.location, 114 | definition=updated_definition, 115 | state=current_workflow.state, 116 | parameters=current_workflow.parameters, 117 | tags=current_workflow.tags # Include tags to maintain existing metadata 118 | ) 119 | 120 | # Update the workflow 121 | updated_workflow = logic_client.workflows.create_or_update( 122 | resource_group_name=self.resource_group_name, 123 | workflow_name=self.logic_app_name, 124 | workflow=workflow_update 125 | ) 126 | 127 | logger.info(f"Successfully updated Logic App {self.logic_app_name} max concurrent runs to {max_runs}") 128 | 129 | return { 130 | "success": True, 131 | "logic_app_name": self.logic_app_name, 132 | "new_max_runs": max_runs, 133 | "updated_at": datetime.utcnow().isoformat() 134 | } 135 | 136 | except Exception as e: 137 | logger.error(f"Error updating Logic App concurrency settings: {e}") 138 | return {"error": str(e), "success": False} 139 | 140 | async def get_workflow_definition(self) -> Dict[str, Any]: 141 | """Get the complete Logic App workflow definition for inspection""" 142 | try: 143 | if not self.enabled: 144 | return {"error": "Logic App Manager not configured", "enabled": False} 145 | 146 | logic_client = self.get_logic_management_client() 147 | 148 | # Get the Logic App workflow 149 | workflow = logic_client.workflows.get( 150 | resource_group_name=self.resource_group_name, 151 | workflow_name=self.logic_app_name 152 | ) 153 | 154 | return { 155 | "enabled": True, 156 | "logic_app_name": self.logic_app_name, 157 | "resource_group": self.resource_group_name, 158 | "workflow_state": workflow.state, 159 | "definition": workflow.definition, 160 | "last_modified": workflow.changed_time.isoformat() if workflow.changed_time else None 161 | } 162 | 163 | except Exception as e: 164 | logger.error(f"Error getting Logic App workflow definition: {e}") 165 | return {"error": str(e), "enabled": False} 166 | 167 | async def update_action_concurrency_settings(self, max_runs: int) -> Dict[str, Any]: 168 | """Update Logic App action-level concurrency settings for HTTP actions""" 169 | try: 170 | if not self.enabled: 171 | return {"error": "Logic App Manager not configured", "success": False} 172 | 173 | if max_runs < 1 or max_runs > 100: 174 | return {"error": "Max runs must be between 1 and 100", "success": False} 175 | 176 | logic_client = self.get_logic_management_client() 177 | 178 | # Get the current workflow 179 | current_workflow = logic_client.workflows.get( 180 | resource_group_name=self.resource_group_name, 181 | workflow_name=self.logic_app_name 182 | ) 183 | 184 | # Update the workflow definition with new concurrency settings 185 | updated_definition = current_workflow.definition.copy() if current_workflow.definition else {} 186 | 187 | # Update trigger-level concurrency 188 | triggers = updated_definition.get('triggers', {}) 189 | for trigger_name, trigger_config in triggers.items(): 190 | if 'runtimeConfiguration' not in trigger_config: 191 | trigger_config['runtimeConfiguration'] = {} 192 | if 'concurrency' not in trigger_config['runtimeConfiguration']: 193 | trigger_config['runtimeConfiguration']['concurrency'] = {} 194 | trigger_config['runtimeConfiguration']['concurrency']['runs'] = max_runs 195 | logger.info(f"Updated trigger concurrency for {trigger_name} to {max_runs}") 196 | 197 | # Update action-level concurrency for HTTP actions and loops 198 | actions = updated_definition.get('actions', {}) 199 | updated_actions = 0 200 | 201 | def update_action_concurrency(actions_dict): 202 | nonlocal updated_actions 203 | for action_name, action_config in actions_dict.items(): 204 | # Set concurrency for HTTP actions 205 | if action_config.get('type') in ['Http', 'ApiConnection']: 206 | if 'runtimeConfiguration' not in action_config: 207 | action_config['runtimeConfiguration'] = {} 208 | if 'concurrency' not in action_config['runtimeConfiguration']: 209 | action_config['runtimeConfiguration']['concurrency'] = {} 210 | action_config['runtimeConfiguration']['concurrency']['runs'] = max_runs 211 | logger.info(f"Updated action concurrency for {action_name} to {max_runs}") 212 | updated_actions += 1 213 | 214 | # Handle nested actions in conditionals and loops 215 | if 'actions' in action_config: 216 | update_action_concurrency(action_config['actions']) 217 | if 'else' in action_config and 'actions' in action_config['else']: 218 | update_action_concurrency(action_config['else']['actions']) 219 | 220 | # Handle foreach loops specifically 221 | if action_config.get('type') == 'Foreach': 222 | if 'runtimeConfiguration' not in action_config: 223 | action_config['runtimeConfiguration'] = {} 224 | if 'concurrency' not in action_config['runtimeConfiguration']: 225 | action_config['runtimeConfiguration']['concurrency'] = {} 226 | action_config['runtimeConfiguration']['concurrency']['repetitions'] = max_runs 227 | logger.info(f"Updated foreach concurrency for {action_name} to {max_runs}") 228 | updated_actions += 1 229 | 230 | # Also update nested actions 231 | if 'actions' in action_config: 232 | update_action_concurrency(action_config['actions']) 233 | 234 | update_action_concurrency(actions) 235 | 236 | # Create the workflow update request 237 | from azure.mgmt.logic.models import Workflow 238 | 239 | workflow_update = Workflow( 240 | location=current_workflow.location, 241 | definition=updated_definition, 242 | state=current_workflow.state, 243 | parameters=current_workflow.parameters, 244 | tags=current_workflow.tags 245 | ) 246 | 247 | # Update the workflow 248 | updated_workflow = logic_client.workflows.create_or_update( 249 | resource_group_name=self.resource_group_name, 250 | workflow_name=self.logic_app_name, 251 | workflow=workflow_update 252 | ) 253 | 254 | logger.info(f"Successfully updated Logic App {self.logic_app_name} concurrency: trigger and {updated_actions} actions to {max_runs}") 255 | 256 | return { 257 | "success": True, 258 | "logic_app_name": self.logic_app_name, 259 | "new_max_runs": max_runs, 260 | "updated_triggers": len(triggers), 261 | "updated_actions": updated_actions, 262 | "updated_at": datetime.utcnow().isoformat() 263 | } 264 | 265 | except Exception as e: 266 | logger.error(f"Error updating Logic App action concurrency settings: {e}") 267 | return {"error": str(e), "success": False} 268 | -------------------------------------------------------------------------------- /src/containerapp/main.py: -------------------------------------------------------------------------------- 1 | """ 2 | ARGUS Container App - Main FastAPI Application 3 | Reorganized modular structure for better maintainability 4 | """ 5 | import logging 6 | from contextlib import asynccontextmanager 7 | 8 | from fastapi import FastAPI, Request, BackgroundTasks 9 | from fastapi.responses import JSONResponse 10 | 11 | from dependencies import initialize_azure_clients, cleanup_azure_clients 12 | import api_routes 13 | 14 | # Configure logging 15 | logging.basicConfig( 16 | level=logging.INFO, 17 | format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' 18 | ) 19 | logger = logging.getLogger(__name__) 20 | 21 | MAX_TIMEOUT = 45*60 # Set timeout duration in seconds 22 | 23 | 24 | @asynccontextmanager 25 | async def lifespan(app: FastAPI): 26 | """Initialize Azure clients on startup""" 27 | try: 28 | await initialize_azure_clients() 29 | logger.info("Successfully initialized Azure clients") 30 | except Exception as e: 31 | logger.error(f"Failed to initialize Azure clients: {e}") 32 | raise 33 | 34 | yield 35 | 36 | # Cleanup 37 | await cleanup_azure_clients() 38 | 39 | 40 | # Initialize FastAPI app 41 | app = FastAPI( 42 | title="ARGUS Backend", 43 | description="Document processing backend using Azure AI services", 44 | version="1.0.0", 45 | lifespan=lifespan 46 | ) 47 | 48 | 49 | # Health check endpoints 50 | @app.get("/") 51 | async def root(): 52 | return await api_routes.root() 53 | 54 | 55 | @app.get("/health") 56 | async def health_check(): 57 | return await api_routes.health_check() 58 | 59 | 60 | # Blob processing endpoints 61 | @app.post("/api/blob-created") 62 | async def handle_blob_created(request: Request, background_tasks: BackgroundTasks): 63 | return await api_routes.handle_blob_created(request, background_tasks) 64 | 65 | 66 | @app.post("/api/process-blob") 67 | async def process_blob_manual(request: Request, background_tasks: BackgroundTasks): 68 | return await api_routes.process_blob_manual(request, background_tasks) 69 | 70 | 71 | @app.post("/api/process-file") 72 | async def process_file(request: Request, background_tasks: BackgroundTasks): 73 | return await api_routes.process_file(request, background_tasks) 74 | 75 | 76 | # Configuration management endpoints 77 | @app.get("/api/configuration") 78 | async def get_configuration(): 79 | return await api_routes.get_configuration() 80 | 81 | 82 | @app.post("/api/configuration") 83 | async def update_configuration(request: Request): 84 | return await api_routes.update_configuration(request) 85 | 86 | 87 | @app.post("/api/configuration/refresh") 88 | async def refresh_configuration(): 89 | return await api_routes.refresh_configuration() 90 | 91 | 92 | # Logic App concurrency management endpoints 93 | @app.get("/api/concurrency") 94 | async def get_concurrency_settings(): 95 | return await api_routes.get_concurrency_settings() 96 | 97 | 98 | @app.put("/api/concurrency") 99 | async def update_concurrency_settings(request: Request): 100 | return await api_routes.update_concurrency_settings(request) 101 | 102 | 103 | @app.get("/api/workflow-definition") 104 | async def get_workflow_definition(): 105 | return await api_routes.get_workflow_definition() 106 | 107 | 108 | @app.put("/api/concurrency-full") 109 | async def update_full_concurrency_settings(request: Request): 110 | return await api_routes.update_full_concurrency_settings(request) 111 | 112 | 113 | @app.get("/api/concurrency/diagnostics") 114 | async def get_concurrency_diagnostics(): 115 | return await api_routes.get_concurrency_diagnostics() 116 | 117 | 118 | # OpenAI configuration management endpoints 119 | @app.get("/api/openai-settings") 120 | async def get_openai_settings(): 121 | return await api_routes.get_openai_settings() 122 | 123 | 124 | @app.put("/api/openai-settings") 125 | async def update_openai_settings(request: Request): 126 | return await api_routes.update_openai_settings(request) 127 | 128 | 129 | # Chat endpoint 130 | @app.post("/api/chat") 131 | async def chat_with_document(request: Request): 132 | return await api_routes.chat_with_document(request) 133 | 134 | 135 | # Optional: If you want to run this directly 136 | if __name__ == "__main__": 137 | import uvicorn 138 | uvicorn.run(app, host="0.0.0.0", port=8000) 139 | -------------------------------------------------------------------------------- /src/containerapp/main_local.py: -------------------------------------------------------------------------------- 1 | """ 2 | Local development version of the ARGUS backend 3 | Works without Azure Cosmos DB by using in-memory storage 4 | """ 5 | import logging 6 | import os 7 | import json 8 | import traceback 9 | import sys 10 | from datetime import datetime 11 | from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeoutError 12 | from typing import Dict, Any, List, Optional 13 | import asyncio 14 | from contextlib import asynccontextmanager 15 | 16 | from fastapi import FastAPI, Request, BackgroundTasks, HTTPException, UploadFile, File, Form 17 | from fastapi.responses import JSONResponse 18 | from fastapi.middleware.cors import CORSMiddleware 19 | from pydantic import BaseModel 20 | import uvicorn 21 | 22 | # Configure logging 23 | logging.basicConfig( 24 | level=logging.INFO, 25 | format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' 26 | ) 27 | logger = logging.getLogger(__name__) 28 | 29 | # In-memory storage for local development 30 | documents_storage = {} 31 | config_storage = {} 32 | 33 | class DocumentModel(BaseModel): 34 | id: str 35 | properties: Dict[str, Any] 36 | state: Dict[str, bool] 37 | extracted_data: Dict[str, Any] 38 | 39 | class HealthResponse(BaseModel): 40 | status: str 41 | timestamp: str 42 | version: str 43 | 44 | class DocumentListResponse(BaseModel): 45 | documents: List[DocumentModel] 46 | count: int 47 | 48 | @asynccontextmanager 49 | async def lifespan(app: FastAPI): 50 | """Initialize local development environment""" 51 | logger.info("Starting ARGUS Backend in LOCAL DEVELOPMENT mode") 52 | logger.info("Note: Using in-memory storage instead of Azure Cosmos DB") 53 | 54 | # Create some sample data for testing 55 | sample_doc = DocumentModel( 56 | id="sample-invoice-123", 57 | properties={ 58 | "blob_name": "sample-invoice.pdf", 59 | "blob_size": 12345, 60 | "request_timestamp": datetime.now().isoformat(), 61 | "num_pages": 2 62 | }, 63 | state={ 64 | "file_landed": True, 65 | "ocr_completed": True, 66 | "gpt_extraction_completed": True, 67 | "gpt_evaluation_completed": False, 68 | "gpt_summary_completed": False, 69 | "processing_completed": False 70 | }, 71 | extracted_data={ 72 | "ocr_output": "Sample OCR text from invoice...", 73 | "gpt_output": {"invoice_number": "INV-001", "total": 1250.00}, 74 | "gpt_evaluation": {}, 75 | "gpt_summary": "" 76 | } 77 | ) 78 | 79 | documents_storage[sample_doc.id] = sample_doc 80 | 81 | logger.info("Successfully initialized local development environment") 82 | yield 83 | logger.info("Shutting down local development environment") 84 | 85 | # Initialize FastAPI app 86 | app = FastAPI( 87 | title="ARGUS Backend (Local Development)", 88 | description="Document processing backend - Local development version", 89 | version="1.0.0", 90 | lifespan=lifespan 91 | ) 92 | 93 | # Add CORS middleware for local development 94 | app.add_middleware( 95 | CORSMiddleware, 96 | allow_origins=["http://localhost:8501", "http://127.0.0.1:8501"], 97 | allow_credentials=True, 98 | allow_methods=["*"], 99 | allow_headers=["*"], 100 | ) 101 | 102 | @app.get("/health", response_model=HealthResponse) 103 | async def health_check(): 104 | """Health check endpoint""" 105 | return HealthResponse( 106 | status="healthy", 107 | timestamp=datetime.now().isoformat(), 108 | version="1.0.0-local" 109 | ) 110 | 111 | @app.get("/api/documents", response_model=DocumentListResponse) 112 | async def list_documents(): 113 | """List all documents""" 114 | documents = list(documents_storage.values()) 115 | return DocumentListResponse( 116 | documents=documents, 117 | count=len(documents) 118 | ) 119 | 120 | @app.get("/api/documents/{doc_id}", response_model=DocumentModel) 121 | async def get_document(doc_id: str): 122 | """Get a specific document by ID""" 123 | if doc_id not in documents_storage: 124 | raise HTTPException(status_code=404, detail="Document not found") 125 | 126 | return documents_storage[doc_id] 127 | 128 | @app.post("/api/documents/{doc_id}") 129 | async def update_document(doc_id: str, document: DocumentModel): 130 | """Update a document""" 131 | documents_storage[doc_id] = document 132 | return {"message": "Document updated successfully", "id": doc_id} 133 | 134 | @app.delete("/api/documents/{doc_id}") 135 | async def delete_document(doc_id: str): 136 | """Delete a document""" 137 | if doc_id not in documents_storage: 138 | raise HTTPException(status_code=404, detail="Document not found") 139 | 140 | del documents_storage[doc_id] 141 | return {"message": "Document deleted successfully", "id": doc_id} 142 | 143 | @app.post("/api/upload") 144 | async def upload_file(file: UploadFile = File(...), dataset_name: str = "default-dataset"): 145 | """Upload a file for processing (mock implementation)""" 146 | doc_id = f"uploaded-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{file.filename}" 147 | 148 | # Create a mock document entry 149 | document = DocumentModel( 150 | id=doc_id, 151 | properties={ 152 | "blob_name": f"{dataset_name}/{file.filename}", 153 | "blob_size": file.size or 0, 154 | "request_timestamp": datetime.now().isoformat(), 155 | "num_pages": 1, # Mock value 156 | "dataset": dataset_name 157 | }, 158 | state={ 159 | "file_landed": True, 160 | "ocr_completed": False, 161 | "gpt_extraction_completed": False, 162 | "gpt_evaluation_completed": False, 163 | "gpt_summary_completed": False, 164 | "processing_completed": False 165 | }, 166 | extracted_data={ 167 | "ocr_output": "", 168 | "gpt_output": {}, 169 | "gpt_evaluation": {}, 170 | "gpt_summary": "" 171 | } 172 | ) 173 | 174 | documents_storage[doc_id] = document 175 | 176 | return { 177 | "message": "File uploaded successfully", 178 | "id": doc_id, 179 | "filename": file.filename, 180 | "dataset": dataset_name, 181 | "status": "uploaded" 182 | } 183 | 184 | @app.post("/api/process/{doc_id}") 185 | async def process_document(doc_id: str, background_tasks: BackgroundTasks): 186 | """Start processing a document (mock implementation)""" 187 | if doc_id not in documents_storage: 188 | raise HTTPException(status_code=404, detail="Document not found") 189 | 190 | # Mock processing - update states progressively 191 | background_tasks.add_task(mock_process_document, doc_id) 192 | 193 | return { 194 | "message": "Document processing started", 195 | "id": doc_id, 196 | "status": "processing" 197 | } 198 | 199 | async def mock_process_document(doc_id: str): 200 | """Mock document processing function""" 201 | import asyncio 202 | 203 | if doc_id not in documents_storage: 204 | return 205 | 206 | document = documents_storage[doc_id] 207 | 208 | # Simulate OCR processing 209 | await asyncio.sleep(2) 210 | document.state["ocr_completed"] = True 211 | document.extracted_data["ocr_output"] = "Mock OCR text extracted from document..." 212 | 213 | # Simulate GPT extraction 214 | await asyncio.sleep(3) 215 | document.state["gpt_extraction_completed"] = True 216 | document.extracted_data["gpt_output"] = { 217 | "document_type": "invoice", 218 | "total_amount": 1250.00, 219 | "invoice_number": "INV-001", 220 | "date": "2024-01-15" 221 | } 222 | 223 | # Simulate GPT evaluation 224 | await asyncio.sleep(2) 225 | document.state["gpt_evaluation_completed"] = True 226 | document.extracted_data["gpt_evaluation"] = { 227 | "confidence_score": 0.95, 228 | "quality_score": 0.88 229 | } 230 | 231 | # Simulate GPT summary 232 | await asyncio.sleep(1) 233 | document.state["gpt_summary_completed"] = True 234 | document.extracted_data["gpt_summary"] = "This is a mock summary of the processed document." 235 | 236 | # Mark as completed 237 | document.state["processing_completed"] = True 238 | 239 | logger.info(f"Mock processing completed for document {doc_id}") 240 | 241 | @app.get("/api/config") 242 | async def get_config(): 243 | """Get configuration settings""" 244 | return { 245 | "environment": "local-development", 246 | "features": { 247 | "ocr_enabled": True, 248 | "gpt_extraction_enabled": True, 249 | "gpt_evaluation_enabled": True, 250 | "gpt_summary_enabled": True 251 | }, 252 | "limits": { 253 | "max_file_size_mb": 50, 254 | "max_pages": 100 255 | } 256 | } 257 | 258 | @app.get("/api/configuration") 259 | async def get_configuration(): 260 | """Get configuration settings (alternative endpoint for frontend compatibility)""" 261 | return await get_config() 262 | 263 | @app.post("/api/configuration") 264 | async def update_configuration(config_data: dict): 265 | """Update configuration settings""" 266 | # In local development, just return the updated config 267 | return { 268 | "message": "Configuration updated successfully (local development mode)", 269 | "config": config_data 270 | } 271 | 272 | @app.get("/api/datasets") 273 | async def get_datasets(): 274 | """Get list of available datasets""" 275 | return ["default-dataset", "medical-dataset", "test-dataset"] 276 | 277 | @app.get("/api/datasets/{dataset_name}/files") 278 | async def get_dataset_files(dataset_name: str): 279 | """Get files in a specific dataset""" 280 | # Mock files for different datasets 281 | mock_files = { 282 | "default-dataset": [ 283 | {"filename": "invoice-001.pdf", "size": 12345, "uploaded_at": "2025-06-17T09:00:00Z"}, 284 | {"filename": "receipt-002.pdf", "size": 8765, "uploaded_at": "2025-06-17T08:30:00Z"} 285 | ], 286 | "medical-dataset": [ 287 | {"filename": "medical-report-001.pdf", "size": 23456, "uploaded_at": "2025-06-17T07:15:00Z"} 288 | ], 289 | "test-dataset": [] 290 | } 291 | return mock_files.get(dataset_name, []) 292 | 293 | @app.get("/api/stats") 294 | async def get_stats(): 295 | """Get processing statistics""" 296 | total_docs = len(documents_storage) 297 | completed_docs = sum(1 for doc in documents_storage.values() if doc.state["processing_completed"]) 298 | 299 | return { 300 | "total_documents": total_docs, 301 | "completed_documents": completed_docs, 302 | "pending_documents": total_docs - completed_docs, 303 | "success_rate": completed_docs / total_docs if total_docs > 0 else 0.0 304 | } 305 | 306 | if __name__ == "__main__": 307 | uvicorn.run( 308 | "main_local:app", 309 | host="0.0.0.0", 310 | port=8000, 311 | reload=True, 312 | log_level="info" 313 | ) 314 | -------------------------------------------------------------------------------- /src/containerapp/models.py: -------------------------------------------------------------------------------- 1 | """ 2 | Data models for the ARGUS Container App 3 | """ 4 | from typing import Dict, Any 5 | 6 | 7 | class EventGridEvent: 8 | """Event Grid event model""" 9 | def __init__(self, event_data: Dict[str, Any]): 10 | self.id = event_data.get('id') 11 | self.event_type = event_data.get('eventType') 12 | self.subject = event_data.get('subject') 13 | self.event_time = event_data.get('eventTime') 14 | self.data = event_data.get('data', {}) 15 | self.data_version = event_data.get('dataVersion') 16 | self.metadata_version = event_data.get('metadataVersion') 17 | 18 | 19 | class BlobInputStream: 20 | """Mock BlobInputStream to match the original function interface""" 21 | def __init__(self, blob_name: str, blob_size: int, blob_client): 22 | self.name = blob_name 23 | self.length = blob_size 24 | self._blob_client = blob_client 25 | self._content = None 26 | 27 | def read(self, size: int = -1): 28 | """Read blob content""" 29 | if self._content is None: 30 | blob_data = self._blob_client.download_blob() 31 | self._content = blob_data.readall() 32 | 33 | if size == -1: 34 | return self._content 35 | else: 36 | return self._content[:size] 37 | -------------------------------------------------------------------------------- /src/containerapp/requirements.txt: -------------------------------------------------------------------------------- 1 | fastapi==0.104.1 2 | uvicorn[standard]==0.24.0 3 | azure-storage-blob==12.19.0 4 | azure-identity==1.19.0 5 | azure-cosmos==4.9.0 6 | azure-mgmt-logic==10.0.0 7 | azure-mgmt-resource==23.1.1 8 | azure-ai-formrecognizer==3.3.3 9 | azure-ai-documentintelligence==1.0.0 10 | azure-cognitiveservices-vision-computervision==0.9.0 11 | openai==1.58.1 12 | requests==2.31.0 13 | python-multipart==0.0.20 14 | Pillow==11.0.0 15 | pandas==2.2.3 16 | numpy>=1.26.0 17 | python-dotenv==1.0.1 18 | aiofiles==23.2.1 19 | PyMuPDF==1.25.1 20 | PyPDF2==3.0.1 21 | langchain==0.3.12 22 | langchain-core==0.3.25 23 | langchain-community==0.3.12 24 | langchain-openai==0.2.12 25 | tiktoken==0.8.0 26 | requests-html==0.10.0 27 | -------------------------------------------------------------------------------- /src/evaluators/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/src/evaluators/__init__.py -------------------------------------------------------------------------------- /src/evaluators/cosine_similarity_string_evaluator.py: -------------------------------------------------------------------------------- 1 | class CosineSimilarityStringEvaluator: 2 | 3 | def __call__(self, ground_truth: str, actual: str, config: dict = {}): 4 | raise "Not implemented" 5 | 6 | -------------------------------------------------------------------------------- /src/evaluators/custom_string_evaluator.py: -------------------------------------------------------------------------------- 1 | from src.evaluators.field_evaluator_base import FieldEvaluatorBase 2 | 3 | class CustomStringEvaluator(FieldEvaluatorBase): 4 | 5 | class Config: 6 | IGNORE_DOLLAR_SIGN = "IGNORE_DOLLAR_SIGN" 7 | ADDITIONAL_MATCHES = "ADDITIONAL_MATCHES" 8 | IGNORE_DOTS = "IGNORE_DOTS" 9 | IGNORE_COMMAS = "IGNORE_COMMAS" 10 | IGNORE_PARENTHETHES = "IGNORE_PARENTHETHES" 11 | IGNORE_DASHES = "IGNORE_DASHES" 12 | 13 | def __init__(self, default_config = {}) -> None: 14 | self.default_config = default_config 15 | 16 | def __call__(self, ground_truth: str, actual: str, config: dict = None): 17 | if not config: 18 | config = self.default_config 19 | 20 | actual_processed = str(actual).lower() 21 | ground_truth_processed = str(ground_truth).lower() 22 | 23 | if config.get(self.Config.IGNORE_DOTS, False): 24 | actual_processed = actual_processed.replace('.', '') 25 | ground_truth_processed = ground_truth_processed.replace('.', '') 26 | 27 | if config.get(self.Config.IGNORE_COMMAS, False): 28 | actual_processed = actual_processed.replace(',', '') 29 | ground_truth_processed = ground_truth_processed.replace(',', '') 30 | 31 | if config.get(self.Config.IGNORE_DASHES, False): 32 | actual_processed = actual_processed.replace('-', '') 33 | ground_truth_processed = ground_truth_processed.replace('-', '') 34 | 35 | if config.get(self.Config.IGNORE_PARENTHETHES, False): 36 | actual_processed = actual_processed.replace('(', '') 37 | ground_truth_processed = ground_truth_processed.replace('(', '') 38 | actual_processed = actual_processed.replace(')', '') 39 | ground_truth_processed = ground_truth_processed.replace(')', '') 40 | 41 | if config.get(self.Config.IGNORE_DOLLAR_SIGN, False): 42 | # Remove leading dollar signs from both strings 43 | ground_truth_processed = ground_truth_processed.lstrip("$") 44 | actual_processed = actual_processed.lstrip("$") 45 | 46 | additional_matches = config.get( 47 | self.Config.ADDITIONAL_MATCHES, [] 48 | ) 49 | additional_matches.append(ground_truth_processed) 50 | 51 | if actual_processed in additional_matches: 52 | return 1 53 | 54 | return 0 55 | 56 | -------------------------------------------------------------------------------- /src/evaluators/field_evaluator_base.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | 3 | class FieldEvaluatorBase(ABC): 4 | 5 | @abstractmethod 6 | def __call__(self, ground_truth: str, actual: str, config: dict = {}) -> int: 7 | raise NotImplementedError 8 | -------------------------------------------------------------------------------- /src/evaluators/fuzz_string_evaluator.py: -------------------------------------------------------------------------------- 1 | from thefuzz import fuzz 2 | 3 | class FuzzStringEvaluator: 4 | 5 | def __call__(self, ground_truth: str, actual: str, config: dict = {}): 6 | return fuzz.partial_token_set_ratio(ground_truth,actual)/100.0 7 | 8 | -------------------------------------------------------------------------------- /src/evaluators/json_evaluator.py: -------------------------------------------------------------------------------- 1 | from src.evaluators.custom_string_evaluator import CustomStringEvaluator 2 | from src.evaluators.fuzz_string_evaluator import FuzzStringEvaluator 3 | 4 | 5 | class JsonEvaluator: 6 | 7 | class FieldEvaluatorWrapper: 8 | def __init__(self, evaluator_instance): 9 | self.name = evaluator_instance.__class__.__name__ 10 | self.instance = evaluator_instance 11 | self.total_strings_compared = 0 12 | self.total_score = 0 13 | 14 | def calculate_ratio(self): 15 | return ( 16 | self.total_score / self.total_strings_compared 17 | if self.total_strings_compared > 0 18 | else 0 19 | ) 20 | 21 | def __init__( 22 | self, 23 | field_evaluators: list = [CustomStringEvaluator(), FuzzStringEvaluator()], 24 | ): 25 | self.eval_wrappers = [] 26 | for evaluator in field_evaluators: 27 | self.eval_wrappers.append(self.FieldEvaluatorWrapper(evaluator)) 28 | 29 | self.result = {} 30 | 31 | def __call__(self, ground_truth, actual, eval_schema={}): 32 | self.compare_values(ground_truth, actual, eval_schema, None) 33 | for wrapper in self.eval_wrappers: 34 | self.result[f"{wrapper.name}.ratio"] = ( 35 | wrapper.calculate_ratio() 36 | ) 37 | 38 | return self.result 39 | 40 | def compare_values(self, ground_truth, actual, eval_schema, curr_key): 41 | if isinstance(ground_truth, dict): 42 | return self.compare_dicts(ground_truth, actual, eval_schema, curr_key) 43 | elif isinstance(ground_truth, list): 44 | return self.compare_lists(ground_truth, actual, eval_schema, curr_key) 45 | else: 46 | for wrapper in self.eval_wrappers: 47 | if actual is None: 48 | score = 0 49 | else: 50 | score = wrapper.instance( 51 | ground_truth, 52 | actual, 53 | eval_schema.get(wrapper.name, None), 54 | ) 55 | wrapper.total_strings_compared += 1 56 | self.result[f"{wrapper.name}.{curr_key}"] = score 57 | wrapper.total_score += score 58 | 59 | def compare_dicts(self, ground_truth_dict, actual_dict, eval_schema, curr_key=None): 60 | for key in ground_truth_dict: 61 | # handle defaults if is None 62 | next_key = f"{curr_key}.{key}" if curr_key is not None else key 63 | actual = actual_dict.get(key, None) if actual_dict is not None else None 64 | curr_eval_schema = eval_schema.get(key, {}) if eval_schema is not None else {} 65 | 66 | self.compare_values( 67 | ground_truth_dict[key], 68 | actual, 69 | curr_eval_schema, 70 | next_key, 71 | ) 72 | 73 | def compare_lists(self, ground_truth_list, actual_list, eval_schema, curr_key): 74 | for i in range(len(ground_truth_list)): 75 | # handle defaults if is None 76 | next_key = f"{curr_key}[{i}]" if curr_key is not None else f"[{i}]" 77 | try: 78 | actual = actual_list[i] 79 | except Exception: 80 | actual = None 81 | try: 82 | curr_eval_schema = eval_schema[i] 83 | except Exception: 84 | curr_eval_schema = {} 85 | 86 | self.compare_values( 87 | ground_truth_list[i], 88 | actual, 89 | curr_eval_schema, 90 | next_key, 91 | ) 92 | -------------------------------------------------------------------------------- /src/evaluators/tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Azure-Samples/ARGUS/337c456c8a3a341c6b63237191a99f87807d8283/src/evaluators/tests/__init__.py -------------------------------------------------------------------------------- /src/evaluators/tests/test_custom_string_evaluator.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | 3 | from src.evaluators.custom_string_evaluator import CustomStringEvaluator 4 | 5 | 6 | class TestCustomStringEvaluator(unittest.TestCase): 7 | 8 | def test_string_evaluator_exact_match( 9 | self 10 | ): 11 | evaluator = CustomStringEvaluator() 12 | exact_match = evaluator("value", "value") 13 | no_match = evaluator("value", "not_value") 14 | assert exact_match == True 15 | assert no_match == False 16 | 17 | def test_string_evaluator_commas_ignored( 18 | self 19 | ): 20 | evaluator = CustomStringEvaluator() 21 | match_1 = evaluator("value", "va,lue",config={CustomStringEvaluator.Config.IGNORE_COMMAS: True}) 22 | assert match_1 == True 23 | 24 | 25 | def test_string_evaluator_commas_not_ignored( 26 | self 27 | ): 28 | evaluator = CustomStringEvaluator() 29 | match_1 = evaluator("value", "value", config={CustomStringEvaluator.Config.IGNORE_COMMAS: False}) 30 | match_2 = evaluator("value", "va,lue", config={CustomStringEvaluator.Config.IGNORE_COMMAS: False}) 31 | assert match_1 == True 32 | assert match_2 == False 33 | 34 | 35 | def test_string_evaluator_dots_ignored( 36 | self 37 | ): 38 | evaluator = CustomStringEvaluator() 39 | match_1 = evaluator("value", "va.lue",config={CustomStringEvaluator.Config.IGNORE_DOTS: True}) 40 | assert match_1 == True 41 | 42 | 43 | def test_string_evaluator_dots_not_ignored( 44 | self 45 | ): 46 | evaluator = CustomStringEvaluator() 47 | match_1 = evaluator("value", "value",config={CustomStringEvaluator.Config.IGNORE_DOTS: False}) 48 | match_2 = evaluator("value", "va.lue",config={CustomStringEvaluator.Config.IGNORE_DOTS: False}) 49 | assert match_1 == True 50 | assert match_2 == False 51 | 52 | 53 | def test_string_evaluator_dollar_sign_ignored( 54 | self 55 | ): 56 | evaluator = CustomStringEvaluator() 57 | match_1 = evaluator("$10", "10",config={CustomStringEvaluator.Config.IGNORE_DOLLAR_SIGN: True}) 58 | assert match_1 == True 59 | 60 | 61 | def test_string_evaluator_dollar_sign_not_ignored( 62 | self 63 | ): 64 | evaluator = CustomStringEvaluator() 65 | match_1 = evaluator("$10", "10",config={CustomStringEvaluator.Config.IGNORE_DOLLAR_SIGN: False}) 66 | assert match_1 == False 67 | 68 | 69 | 70 | def test_string_evaluator_parenthesis_ignored( 71 | self 72 | ): 73 | evaluator = CustomStringEvaluator() 74 | match_1 = evaluator("(256)3300488", "2563300488",config={CustomStringEvaluator.Config.IGNORE_PARENTHETHES: True}) 75 | assert match_1 == True 76 | 77 | 78 | def test_string_evaluator_parenthesis_not_ignored( 79 | self 80 | ): 81 | evaluator = CustomStringEvaluator() 82 | match_1 = evaluator("(256)3300488", "2563300488",config={CustomStringEvaluator.Config.IGNORE_PARENTHETHES: False}) 83 | assert match_1 == False 84 | 85 | def test_string_evaluator_dashes_ignored( 86 | self 87 | ): 88 | evaluator = CustomStringEvaluator() 89 | match_1 = evaluator("(256)330-0488", "(256)3300488",config={CustomStringEvaluator.Config.IGNORE_DASHES: True}) 90 | assert match_1 == True 91 | 92 | 93 | def test_string_evaluator_dashes_not_ignored( 94 | self 95 | ): 96 | evaluator = CustomStringEvaluator() 97 | match_1 = evaluator("(256)3300-488", "(256)3300488",config={CustomStringEvaluator.Config.IGNORE_DASHES: False}) 98 | assert match_1 == False 99 | 100 | def test_string_evaluator_additional_matches( 101 | self 102 | ): 103 | evaluator = CustomStringEvaluator() 104 | match_1 = evaluator("correct", "correct",config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 105 | match_2 = evaluator("correct", "yes", config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 106 | match_3 = evaluator("correct", "true", config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 107 | match_4 = evaluator("correct", "false", config={CustomStringEvaluator.Config.ADDITIONAL_MATCHES: ["yes", "true"]}) 108 | assert match_1 == True 109 | assert match_2 == True 110 | assert match_3 == True 111 | assert match_4 == False 112 | -------------------------------------------------------------------------------- /src/evaluators/tests/test_json_evaluator.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | 3 | from src.evaluators.custom_string_evaluator import CustomStringEvaluator 4 | from src.evaluators.fuzz_string_evaluator import FuzzStringEvaluator 5 | from src.evaluators.json_evaluator import JsonEvaluator 6 | 7 | 8 | class TestJsonEvaluator(unittest.TestCase): 9 | 10 | def test_json_evaluator_no_eval_schema(self): 11 | ground_truth_data = { 12 | "key1": "value1", # value 1 13 | "key2": { 14 | "key1": "value2", # value 2 15 | "key2": {"key1": "value3"}, # value 3 16 | "key3": ["value4", "value5"], # Values 4 and 5 17 | "key4": { 18 | "key1": [{"key1": "value6", "key2": "value7"}] # value 6 # value 7 19 | }, 20 | "key5": "value8", # value 8 21 | }, 22 | "key3": "value9", # value 9 23 | "key4": "value10", # value 10 24 | } 25 | # Total values = 10 26 | 27 | actual_data = { 28 | "key1": "wrong_value", # wrong 1 - Should be "value1" 29 | "key2": { 30 | "key1": "value2", # correct 1 - this should be marked correct as the ground truth int will be made a str in the string evaluator 31 | "key2": { 32 | "key1": "value,3" # wrong 2 - should be "5.0" - puctuation is ignored when word does NOT contains a number 33 | }, 34 | "key3": ["value4", "value5"], # correct 2 # correct 3 35 | "key4": { 36 | "key1": [ 37 | {"key1": "value6", "key2": "value7"} # correct 4 # correct 5 38 | ] 39 | }, 40 | # key5 is missing 41 | }, 42 | # key3 is missing 43 | "key4": "value10", # correct 6 44 | } 45 | # Total correct = 6 46 | # ratio = 6/10 = 0.6 47 | 48 | json_evaluator = JsonEvaluator() 49 | result = json_evaluator(ground_truth_data, actual_data) 50 | assert result["CustomStringEvaluator.ratio"] == 0.6 51 | assert result['FuzzStringEvaluator.ratio'] == 0.782 52 | 53 | def test_json_evaluator_with_eval_schema(self): 54 | ground_truth_data = { 55 | "key1": "value1", # value 1 56 | "key2": { 57 | "key1": "value2", # value 2 58 | "key2": {"key1": "value3"}, # value 3 59 | "key3": ["value4", "value5"], # Values 4 and 5 60 | "key4": { 61 | "key1": [{"key1": "value6", "key2": "value7"}] # value 6 # value 7 62 | }, 63 | "key5": "value8", # value 8 64 | }, 65 | "key3": "value9", # value 9 66 | "key4": "value10", # value 10 67 | } 68 | # Total values = 10 69 | 70 | actual_data = { 71 | "key1": "wrong_value", # wrong 1 - Should be "value1" 72 | "key2": { 73 | "key1": "value.2", # correct 1 - this should be marked correct as the ground truth int will be made a str in the string evaluator 74 | "key2": {"key1": "$value3"}, # correct 2 75 | "key3": ["value4", "value,5"], # correct 3 76 | "key4": { 77 | "key1": [ 78 | {"key1": "value,6", "key2": "value7"} # correct 4 # correct 5 79 | ] 80 | }, 81 | # key5 is missing 82 | }, 83 | "key4": "value10", # correct 6 84 | # key2 is missing 85 | } 86 | # Total correct = 6 87 | # ratio = 6/10 = 0.6 88 | 89 | eval_schema = { 90 | "key1": {}, 91 | "key2": { 92 | "key1": {"CustomStringEvaluator": {"IGNORE_DOTS": "True"}}, 93 | "key2": { 94 | "key1": {"CustomStringEvaluator": {"IGNORE_DOLLAR_SIGN": "True"}} 95 | }, 96 | "key3": {}, 97 | "key4": { 98 | "key1": [ 99 | { 100 | "key1": { 101 | "CustomStringEvaluator": {"IGNORE_COMMAS": "True"} 102 | }, 103 | "key2": {}, 104 | } # correct 4 # correct 5 105 | ] 106 | }, 107 | "key5": {}, 108 | }, 109 | "key3": {}, 110 | "key4": {}, 111 | } 112 | 113 | json_evaluator = JsonEvaluator() 114 | result = json_evaluator(ground_truth_data, actual_data, eval_schema) 115 | assert result['FuzzStringEvaluator.ratio'] == 0.764 116 | assert result["CustomStringEvaluator.ratio"] == 0.6 117 | 118 | def test_json_evaluator_no_eval_schema_with_default_config(self): 119 | ground_truth_data = { 120 | "key1": "value1", # value 1 121 | "key2": { 122 | "key1": "value2", # value 2 123 | "key2": {"key1": "value3"}, # value 3 124 | "key3": ["value4", "value5"], # Values 4 and 5 125 | "key4": { 126 | "key1": [{"key1": "value6", "key2": "value7"}] # value 6 # value 7 127 | }, 128 | "key5": "value8", # value 8 129 | }, 130 | "key3": "value9", # value 9 131 | "key4": "value10", # value 10 132 | } 133 | # Total values = 10 134 | 135 | actual_data = { 136 | "key1": "wrong_value", # wrong 1 - Should be "value1" 137 | "key2": { 138 | "key1": "value.2", # correct 1 - this should be marked correct as the ground truth int will be made a str in the string evaluator 139 | "key2": {"key1": "$value3"}, # correct 2 140 | "key3": ["value4", "value,5"], # correct 3 141 | "key4": { 142 | "key1": [ 143 | {"key1": "value,6", "key2": "value7"} # correct 4 # correct 5 144 | ] 145 | }, 146 | # key5 is missing 147 | }, 148 | "key4": "value10", # correct 6 149 | # key2 is missing 150 | } 151 | # Total correct = 6 152 | # ratio = 6/10 = 0.6 153 | 154 | evaluators = [ 155 | CustomStringEvaluator({ 156 | CustomStringEvaluator.Config.IGNORE_DOLLAR_SIGN: True, 157 | CustomStringEvaluator.Config.IGNORE_DASHES: True, 158 | CustomStringEvaluator.Config.IGNORE_DOTS: True, 159 | }), 160 | FuzzStringEvaluator(), 161 | ] 162 | 163 | # Total correct = 5 164 | # ratio = 5/10 = 0.5 165 | 166 | json_evaluator = JsonEvaluator(evaluators) 167 | result = json_evaluator(ground_truth_data, actual_data) 168 | assert result["CustomStringEvaluator.ratio"] == 0.5 169 | assert result['FuzzStringEvaluator.ratio'] == 0.764 170 | 171 | def test_json_evaluator_different_array_length_in_actual(self): 172 | ground_truth_data = { 173 | "key1": "value1", # value 1 174 | "key2": ["test1", "test2", "test3"], # Values 2, 3, 4 175 | } 176 | # Total values = 4 177 | 178 | actual_data = { 179 | "key1": "value1", # correct 1 180 | "key2": ["test1"], # correct 2, wrong 1, wrong 2 (missing index 1, 2) 181 | } 182 | 183 | evaluators = [CustomStringEvaluator()] 184 | 185 | # Total correct = 2 186 | # ratio = 2/4 = 0.5 187 | 188 | json_evaluator = JsonEvaluator(evaluators) 189 | result = json_evaluator(ground_truth_data, actual_data) 190 | assert result["CustomStringEvaluator.ratio"] == 0.5 191 | assert result['CustomStringEvaluator.key1'] == 1 192 | assert result['CustomStringEvaluator.key2[0]'] == 1 193 | assert result['CustomStringEvaluator.key2[1]'] == 0 194 | assert result['CustomStringEvaluator.key2[2]'] == 0 195 | 196 | def test_json_evaluator_handles_array_first_value(self): 197 | ground_truth_data = [ 198 | {"key1": "value1"}, # value 1 199 | {"key2": ["1", "2", "3"]}, 200 | "array_value_3" 201 | ] 202 | # Total values = 5 203 | 204 | actual_data = [ 205 | {"key1": "value1"}, # correct 1 206 | {"key2": ["1", "wrong", "3"]}, # correct 2, wrong 1, correct 3 207 | "array_value_3" # correct 4 208 | ] 209 | 210 | # Total correct = 4 211 | # ratio = 4/5 = 0.8 212 | 213 | evaluators = [CustomStringEvaluator()] 214 | 215 | json_evaluator = JsonEvaluator(evaluators) 216 | result = json_evaluator(ground_truth_data, actual_data) 217 | assert result["CustomStringEvaluator.ratio"] == 0.8 218 | assert result['CustomStringEvaluator.[0].key1'] == 1 219 | assert result['CustomStringEvaluator.[1].key2[0]'] == 1 220 | assert result['CustomStringEvaluator.[1].key2[1]'] == 0 221 | assert result['CustomStringEvaluator.[1].key2[2]'] == 1 222 | assert result['CustomStringEvaluator.[2]'] == 1 223 | 224 | def test_json_evaluator_handles_array_dict_mismatch(self): 225 | ground_truth_data = [ 226 | {"key1": "value1"}, # value 1 227 | {"key2": ["1", "2", "3"]}, 228 | "array_value_3" 229 | ] 230 | # Total values = 5 231 | 232 | # all values should be wrong, as this is a dict and not an array 233 | actual_data = { 234 | "key1": "value1", 235 | "key2": ["1", "wrong", "3"], 236 | } 237 | 238 | # Total correct = 0 239 | # ratio = 0/5 = 0 240 | 241 | evaluators = [CustomStringEvaluator()] 242 | 243 | json_evaluator = JsonEvaluator(evaluators) 244 | result = json_evaluator(ground_truth_data, actual_data) 245 | assert result["CustomStringEvaluator.ratio"] == 0 246 | assert result['CustomStringEvaluator.[0].key1'] == 0 247 | assert result['CustomStringEvaluator.[1].key2[0]'] == 0 248 | assert result['CustomStringEvaluator.[1].key2[1]'] == 0 249 | assert result['CustomStringEvaluator.[1].key2[2]'] == 0 250 | assert result['CustomStringEvaluator.[2]'] == 0 --------------------------------------------------------------------------------