sharpapi-python-client 1.2.1

SharpAPI.com Python SDK Client - AI-Powered Workflow Automation API.

SharpAPI Python Client SDK

🚀 Automate Workflows with AI-Powered API

Leverage AI API to Streamline Workflows in E-Commerce, Marketing, Content Management, HR Tech, Travel, and More.

Save time on repetitive content analysis and generation tasks that your app users perform daily.

SharpAPI Python Client SDK enables developers to integrate advanced artificial intelligence capabilities into their Python applications. This SDK simplifies interaction with the SharpAPI services, providing a seamless way to leverage AI for various use cases.

Visit the SharpAPI.com Website » for more information.

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📚 Table of Contents

• 📦 Installation
• 🔧 Configuration
• 💡 Features
• 💻 Usage
• 🧪 Testing
• 🤝 Contributing
• 📄 License
• 📞 Contact

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📦 Installation

You can install the SharpAPI Python Client SDK via PyPI using pip:

pip install sharpapi-python-client

Alternatively, if you prefer using Poetry for dependency management, you can add it to your project:

poetry add sharpapi-python-client

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🔧 Configuration

1. Obtain Your SharpAPI API Key

Sign up at SharpAPI.com to obtain your API key.

2. Set Up Environment Variables

Create a .env file in your project's root directory to securely store your API key:

SHARP_API_KEY=your_sharpapi_api_key_here

Ensure that .env is included in your .gitignore to prevent accidental exposure of your API key.

3. Loading Environment Variables

The SDK uses python-dotenv to load environment variables. Ensure that your application initializes the environment variables before using the SDK:

from dotenv import load_dotenv

load_dotenv()  # Loads environment variables from .env file

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💡 Features

The SharpAPI Python Client SDK offers a comprehensive suite of AI-powered tools to enhance various aspects of your applications:

E-Commerce

• Generate Engaging Product Introductions
• Create Personalized Thank-You Emails
• Streamline Product Categorization
• Perform Sentiment Analysis on Product Reviews

Content & Marketing Automation

• Translate Text for a Global Audience
• Paraphrase and Proofread Any Text
• Detect Spam Content
• Extract Contact Information
• Summarize Content and Generate Keywords/Tags
• Generate SEO Meta Tags

HR Tech

• Generate Job Descriptions
• Identify Related Job Positions and Skills
• Parse and Extract Information from Resumes

Travel, Tourism & Hospitality

• Analyze Sentiment in Travel Reviews
• Categorize Tours, Activities, and Hospitality Products

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💻 Usage

🛠 Basic Example

from sharpapi import SharpApiService

# Initialize the SharpApiService with your API key
sharp_api = SharpApiService(api_key='YOUR_SHARP_API_KEY')

try:
    # Example: Generate Product Categories
    status_url = sharp_api.product_categories(
        product_name='Lenovo Chromebook Laptop (2023), 14" FHD Touchscreen Slim 3, 8-Core MediaTek Kompanio 520 CPU, 4GB RAM, 128GB Storage',
        language='German',  # Optional
        max_quantity=400,   # Optional
        voice_tone='Neutral',  # Optional
        context='Optional current e-store categories'  # Optional
    )

    # Fetch and print the results
    result_sharp_api_job = sharp_api.fetch_results(status_url)
    print(result_sharp_api_job.get_result_json())
except Exception as e:
    print(f"An error occurred: {e}")

🛠 Advanced Example: Parsing a Resume

from sharpapi import SharpApiService

# Initialize the SharpApiService with your API key
sharp_api = SharpApiService(api_key='YOUR_SHARP_API_KEY')

try:
    # Parse Resume
    status_url = sharp_api.parse_resume(
        file_path='path/to/sample_resume.pdf',
        language='English'  # Optional
    )

    # Fetch and print the parsed resume data
    parsed_resume = sharp_api.fetch_results(status_url)
    print(parsed_resume.get_result_json())
except Exception as e:
    print(f"An error occurred: {e}")

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🧪 Testing

This project uses Python's built-in unittest framework for testing.

Running Tests

Ensure that you are in the project's root directory and that all dependencies are installed via Poetry or pip.

Using Poetry:

1. Activate Poetry Shell:

   poetry shell
   

2. Run Tests:

   python -m unittest discover tests
   

Using pip and Virtual Environment:

1. Activate Your Virtual Environment:

   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

2. Run Tests:

   python -m unittest discover tests
   

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Key Components:

• src/sharpapi/: Contains the main SDK code.
  • dto/: Data Transfer Objects for handling request and response data.
  • enums/: Enumerations for standardized values across the SDK.
  • sharp_api_service.py: Core service class to interact with SharpAPI endpoints.
• tests/: Contains unit tests for the SDK using Python's unittest framework.
• pyproject.toml: Configuration file managed by Poetry for dependencies and packaging.
• LICENSE: Licensing information.
• README.md: Project documentation.
• venv/: Virtual environment directory (should be excluded from version control).

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🤝 Contributing

Contributions are welcome! Whether you're reporting a bug, suggesting an enhancement, or submitting a pull request, your input is valuable to us.

How to Contribute:

1. Fork the Repository

   Click the Fork button at the top-right corner of the repository page.

2. Clone Your Fork

   git clone https://github.com/yourusername/sharpapi-python-client.git
   cd sharpapi-python-client
   

3. Create a New Branch

   git checkout -b feature/YourFeatureName
   

4. Make Your Changes

   Implement your feature or fix. Ensure that your code adheres to the project's coding standards.

5. Run Tests

   Ensure all tests pass before committing your changes.

   poetry shell
   python -m unittest discover tests
   

6. Commit Your Changes

   git commit -m "Add feature XYZ"
   

7. Push to Your Fork

   git push origin feature/YourFeatureName
   

8. Create a Pull Request

   Navigate to the original repository and click on "Compare & pull request." Provide a clear description of your changes.

Coding Standards:

• Follow PEP 8 style guidelines.
• Write clear and concise docstrings for all modules, classes, and methods.
• Ensure that all new features are accompanied by corresponding unit tests.

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📄 License

This project is licensed under the MIT License.

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📞 Contact

For any questions, support, or inquiries, feel free to reach out:

• Email: [e-mail]
• Website: https://sharpapi.com
• GitHub: https://github.com/sharpapi/sharpapi-python-client

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📝 Changelog

Please see CHANGELOG.md for more information on what has changed recently.

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📚 Documentation

For detailed usage and API methods, please refer to the SharpAPI Documentation.

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🧰 Additional Resources

• Poetry Documentation: https://python-poetry.org/docs/
• Python unittest Documentation: https://docs.python.org/3/library/unittest.html
• SharpAPI Documentation: https://sharpapi.com/documentation

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Social Media

🚀 For the latest news, tutorials, and case studies, don't forget to follow us on:

• SharpAPI X (formerly Twitter)
• SharpAPI YouTube
• SharpAPI Vimeo
• SharpAPI LinkedIn
• SharpAPI Facebook

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Happy Coding! 🚀