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feat: Complete SDK restructuring
Major Changes: - Restructured SDK into modular architecture for better scalability and maintainability - Organized codebase into logical modules: core/, data/, utils/, models/, extensions/ SDK Structure Changes: - core/: Authentication, configuration, HTTP client, and error handling - data/: OData client, CRUD operations, SQL queries, and file uploads - utils/: Pandas adapter and utility functions - models/: Data models and type definitions (extensible) - extensions/: Optional features like CLI and async clients (extensible) Test Organization: - Restructured tests into unit/, integration/, and fixtures/ folders - Added comprehensive test infrastructure with conftest.py and test_data.py - Organized unit tests by module: unit/core/, unit/data/, unit/utils/ - All 25 existing tests pass in new structure Examples Reorganization: - basic/: Getting started examples (quickstart.py) - advanced/: Complex scenarios (pandas_integration.py, file_upload.py) - integrations/: Microsoft service integrations (extensible) - utilities/: Helper scripts and tools (extensible) Import Path Updates: - Updated all import paths to use new modular structure - Maintained clean API surface through __init__.py files - Client.py updated to import from new module locations Benefits: - Improved code organization and separation of concerns - Faster CI/CD with targeted test execution - Better developer experience with logical code grouping - Scalable architecture ready for future SDK expansion - Team-friendly structure for collaborative development
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examples/README.md

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# Dataverse SDK Examples
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This directory contains comprehensive examples demonstrating how to use the Microsoft Dataverse SDK for Python.
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## 📁 Directory Structure
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### 🌱 Basic Examples (`basic/`)
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Get started quickly with fundamental Dataverse operations:
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- **`quickstart.py`** - Basic client setup, authentication, and simple CRUD operations
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- Authentication setup with Azure Identity
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- Creating, reading, updating, and deleting records
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- Basic error handling
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### 🚀 Advanced Examples (`advanced/`)
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Explore powerful features for complex scenarios:
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- **`file_upload.py`** - File upload to Dataverse file columns with chunking
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- **`pandas_integration.py`** - DataFrame-based operations for data analysis
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- **`bulk_operations.py`** - Batch processing and bulk data operations
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- **`metadata_management.py`** - Creating and managing custom tables
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- **`sql_queries.py`** - Advanced SQL queries via Web API
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### 🔗 Integrations (`integrations/`)
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Connect Dataverse with other Microsoft services:
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- **`power_automate.py`** - Integration patterns with Power Automate
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- **`azure_functions.py`** - Using the SDK in Azure Functions
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- Power BI integration examples
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- Azure Logic Apps patterns
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### 🛠️ Utilities (`utilities/`)
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Helper scripts and development tools:
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- **`connection_tester.py`** - Test and validate Dataverse connections
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- **`data_migration.py`** - Scripts for data migration scenarios
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- Development and debugging utilities
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## 🚀 Getting Started
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1. **Install Dependencies**:
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```bash
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pip install -r requirements.txt
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```
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2. **Set Up Authentication**:
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Configure Azure Identity credentials (see individual examples for details)
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3. **Run Basic Example**:
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```bash
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python examples/basic/quickstart.py
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```
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## 📋 Prerequisites
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- Python 3.8+
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- Azure Identity credentials configured
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- Access to a Dataverse environment
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- Required packages installed from `requirements.txt`
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## 🔒 Authentication
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All examples use Azure Identity for authentication. Common patterns:
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- `DefaultAzureCredential` for development
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- `ClientSecretCredential` for production services
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- `InteractiveBrowserCredential` for interactive scenarios
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## 📖 Documentation
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For detailed API documentation, visit: [Dataverse SDK Documentation](link-to-docs)
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## 🤝 Contributing
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When adding new examples:
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1. Follow the existing code style and structure
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2. Include comprehensive comments and docstrings
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3. Add error handling and validation
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4. Update this README with your example
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5. Test thoroughly before submitting

examples/__init__.py

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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT license.
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"""Examples package for the Dataverse SDK."""

examples/advanced/__init__.py

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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT license.
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"""Advanced examples showcasing complex Dataverse SDK features."""
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sys.path.append(str(Path(__file__).resolve().parents[1] / "src"))
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from dataverse_sdk import DataverseClient
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from dataverse_sdk.odata_pandas_wrappers import PandasODataClient
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from dataverse_sdk.utils.pandas_adapter import PandasODataClient
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from azure.identity import InteractiveBrowserCredential
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import traceback
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import requests

examples/basic/__init__.py

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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT license.
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"""Basic examples for getting started with the Dataverse SDK."""
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sys.path.append(str(Path(__file__).resolve().parents[1] / "src"))
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from dataverse_sdk import DataverseClient
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from dataverse_sdk.errors import MetadataError
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from dataverse_sdk.core.errors import MetadataError
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from enum import IntEnum
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from azure.identity import InteractiveBrowserCredential
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import traceback

examples/integrations/__init__.py

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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT license.
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"""Integration examples with other Microsoft services and tools."""

examples/utilities/__init__.py

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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT license.
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"""Utility scripts and helper tools for Dataverse operations."""

src/dataverse_sdk/client.py

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from azure.core.credentials import TokenCredential
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from .auth import AuthManager
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from .config import DataverseConfig
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from .odata import ODataClient
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from .core.auth import AuthManager
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from .core.config import DataverseConfig
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from .data.odata import ODataClient
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class DataverseClient:

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