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> Provides an example of creating an automated file processing and summary generation tool using Microsoft Azure technologies. It demonstrates how to use Azure AI Services, Azure Blob Storage, Azure Functions, and Python to upload files, search for key values, and generate summaries. The tool supports tabular data in xlsx and csv formats, as well as text data from docs and pdf files. Summaries can be generated in few formats, including xlsx, csv, and text files.
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> [!IMPORTANT]
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> Disclaimer: Please note, this example of solution `it is not an official solution guide`. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly: [Microsoft Sales and Support](https://support.microsoft.com/contactus?ContactUsExperienceEntryPointAssetId=S.HP.SMC-HOME)
| Azure Functions | Executes serverless compute tasks to process the uploaded files and generate summaries. |
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| Azure AI Services | Provides text analytics and OCR capabilities to handle text data from docs and pdfs. |
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| Azure Storage Account | Manages Blob Storage and other storage services. |
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| Azure Key Vault | Stores and manages sensitive information such as connection strings and API keys. |
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| Application Insights | Monitors the performance and usage of the file processing tool. |
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| Log Analytics Workspace | Collects and analyzes log data from various sources. |
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## How to execute it
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```mermaid
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```mermaid
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graph TD;
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A[az login] --> B(terraform init)
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B --> C{Terraform provisioning stage}
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2. **Initialize Terraform**: Initializes the working directory containing the Terraform configuration files. It downloads the necessary provider plugins and sets up the backend for storing the state.
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