E2E (End to End) Workflow: Overview

List of references (Click to expand)

• Quickstart: Azure AI Vision v3.2 GA Read
• Quickstart: Azure Blob Storage client library for Python
• Create a function in Azure that's triggered by Blob storage
• Quickstart: Azure Key Vault secret client library for Python
• Azure Application Insights SDK for Python
• Create a Log Analytics workspace
• Quickstart: Use the Azure portal to create a virtual network

List of Contents (Click to expand)

• Workflow
• Architecture: Components and Interactions

Workflow

graph TD A[Upload File to Blob Storage] -->|Trigger| B[Azure Function] B --> C[Read KeyTable from BlobStg] B --> D[Read InputFile from BlobStg] C --> E[Process Data] D --> E[Process Data] E --> F[Generate Summary] F --> G[Save Summary to Container] G --> H[Summary Available for Dwnld] subgraph Azure Resources A B C D G end subgraph Processing Steps E F H end

1. Upload File to Blob Storage: Users upload files to the input container in Azure Blob Storage.
2. Azure Function: The Azure Function is triggered by the file upload.
3. Read Key Table from Blob Storage: The function reads the key table from the input container.
4. Read Input File from Blob Storage: The function reads the uploaded input file from the input container.
5. Process Data: The function processes the data by searching for key values and extracting relevant information.
6. Generate Summary: The function generates a summary based on the processed data.
7. Save Summary to Output Container: The function saves the summary to the output container in Azure Blob Storage.
8. Summary Available for Download: The summary is available for download from the output container.

Architecture: Components and Interactions