duoscience-client 0.1.1

Python client for the DuoScience API.

DuoScience API Python Client

The official Python client for the DuoScience API. This SDK simplifies interaction with the API's asynchronous, task-based architecture by handling HTTP requests and Server-Sent Events (SSE) streaming.

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Features

• Simple Interface: An intuitive, object-oriented interface for all major API endpoints.
• Asynchronous Handling: Abstracts away the complexity of polling and long-running tasks.
• Real-time Events: Uses an iterator to stream real-time status updates and results via SSE.
• Error Handling: Gracefully manages connection and API errors.

Installation

Install the client from PyPI using pip:

pip install duoscience-client

The package will automatically install the required dependencies:

• requests
• sseclient
• markdown
• pdfkit

Usage

1. Initialization

First, import and instantiate the client. You can specify the base_url of your DuoScience API instance.

from duoscience.client import DuoScienceClient

# Initialize the client
# Defaults to http://127.0.0.1:8000 if not specified
client = DuoScienceClient(base_url="https://api.duoscience.ai")

2. Core Concept: The Event Iterator

The DuoScience API operates asynchronously. When you initiate a task (like a chat or research query), the API immediately returns a task_id. The client uses this ID to connect to an SSE stream, which delivers real-time updates as the task progresses.

The DuoScienceClient handles this for you. Calling a method like client.chat() returns an iterator. Each item from the iterator is a JSON object representing an event from the backend.

You can simply loop over the iterator to process events as they arrive. The loop will automatically terminate when a final event (e.g., status: "completed" or status: "failed") is received.

Key Event Fields:

• status: The current state of the task ("running", "completed", "failed").
• source: The backend component emitting the event (e.g., "agent:WriterAgent").
• message: A human-readable description of the event or progress update.
• result: The final output of the operation (only present when status is "completed").

3. Examples

Example 1: Initiating a Chat

This example starts a chat session and prints events as they are received.

import logging
from duoscience.client import DuoScienceClient

# Configure logging to see client-side status updates
logging.basicConfig(level=logging.INFO)

# Initialize the client
client = DuoScienceClient()

print("\n▶️  Initiating a new chat task...")
try:
    chat_events = client.chat(
        user_id="example_user_123",
        chat_id="example_chat_abc",
        content="Tell me about the role of mitochondria in cellular respiration.",
        domain="biosciences",
        effort="low"
    )

    final_answer = None
    for event in chat_events:
        status = event.get("status", "unknown")
        source = event.get("source", "system")
        message = event.get("message", "")

        print(f"[{status.upper()}] from [{source}]: {message}")

        if status == "completed":
            print("\n✅ --- TASK COMPLETED --- ✅")
            final_answer = event.get("result") # Final output is in the 'result' field
        elif status == "failed":
            print(f"❌ --- TASK FAILED --- ❌")
            print(f"Error details: {message}")
            break
    
    if final_answer:
        print(f"\nFinal Answer:\n{final_answer}")

except Exception as e:
    logging.error(f"An error occurred: {e}")

print("\n--- Example finished ---")

Example 2: Running a Research Task

The process for initiating a research task is identical. Call the research method with your query.

print("\n▶️  Initiating a new research task...")
try:
    research_events = client.research(
        user_id="example_user_456",
        chat_id="example_research_def",
        content="What are the latest advancements in CRISPR gene editing for cancer therapy?",
        domain="biosciences",
        effort="high"  # Use 'high' effort for detailed research
    )

    # Process events from the iterator (same logic as the chat example)
    for event in research_events:
        status = event.get("status", "unknown")
        source = event.get("source", "system")
        message = event.get("message", "")
        print(f"[{status.upper()}] from [{source}]: {message}")
        if status in ["completed", "failed"]:
            break

except Exception as e:
    logging.error(f"An error occurred: {e}")

print("\n--- Example finished ---")

Utilities

Markdown to PDF Conversion

The project includes a utility module duoscience.utils for converting Markdown files into high-quality PDFs. This is useful for generating reports or documents from Markdown sources.

The convert_md_to_pdf function supports:

• Custom CSS for styling.
• Syntax highlighting for code blocks via Pygments.
• Embedding a logo into the document.
• Standard Markdown extensions (tables, footnotes, etc.).

Prerequisite: This utility requires the wkhtmltopdf command-line tool to be installed on your system.

Example Usage:

from duoscience.utils import convert_md_to_pdf
import logging

logging.basicConfig(level=logging.INFO)

# Ensure wkhtmltopdf is installed and provide the path to the executable
WKHTMLTOPDF_PATH = '/usr/local/bin/wkhtmltopdf' # Path may vary

try:
    convert_md_to_pdf(
        md_file_path='local/research.md',
        pdf_file_path='local/research.pdf',
        wkhtmltopdf_path=WKHTMLTOPDF_PATH,
        css_path='assets/style.css', # Optional custom CSS
        logo_path='assets/duoscience-logo.png'
    )
    print("✅ PDF generated successfully.")
except Exception as e:
    print(f"❌ Failed to generate PDF: {e}")

Development

To contribute to the development of this client, clone the repository and install the dependencies for local development.

# Clone the repository
git clone https://github.com/duoscience/duoscience-client.git
cd duoscience-client

# Install in editable mode with development dependencies
pip install -e .

Running Build Tasks

The project includes a Makefile for common tasks:

• make build: Builds the source distribution and wheel.
• make publish: Builds and uploads the package to PyPI using Twine.
• make clean: Removes build artifacts.

License

This project is licensed under the MIT License. See the LICENSE file for details.