Fetch Stories Results in Bulk

import requests
from typing import List, Dict, Optional

def fetch_bulk_story_results(run_ids: List[int]) -> Optional[List[Dict]]:
    """
    Retrieves multiple story conversion outputs in a single request

    Args:
        run_ids: List of unique run identifiers from story processing tasks

    Returns:
        List of story result dictionaries, or None if request fails
    """
    headers = {
        "x-api-key": "YOUR_API_KEY",
        "Content-Type": "application/json"
    }

    payload = {
        "run_ids": run_ids
    }

    try:
        response = requests.post(
            "https://client.camb.ai/apis/stories-results",
            headers=headers,
            json=payload
        )
        response.raise_for_status()

        results = response.json()
        print(f"Retrieved {len(results)} story results successfully")

        return results

    except requests.exceptions.HTTPError as e:
        print(f"Error {e.response.status_code}: {e.response.text}")
        return None
    except requests.exceptions.RequestException as e:
        print(f"Request failed: {e}")
        return None

def process_bulk_results(results: List[Dict]) -> None:
    """
    Process and display bulk story results

    Args:
        results: List of story result dictionaries
    """
    for i, story in enumerate(results, 1):
        print(story)
        print(f"\n--- Story {i} ---")
        print(f"Main Audio: {results[story]['audio_url']}")
        print(f"Dialogue Track: {results[story]['dialogue_url']}")

        if results[story].get('transcript'):
            print(f"Transcript entries: {len(results[story]['transcript'])}")
            # Preview first dialogue entry
            if results[story]['transcript']:
                first_entry = results[story]['transcript'][0]
                print(f"First line: [{first_entry['start']}-{first_entry['end']}ms] "
                      f"{first_entry['speaker']}: {first_entry['text'][:50]}...")

# Example usage with multiple run IDs
run_ids_to_fetch = [240320, 242604]

bulk_results = fetch_bulk_story_results(run_ids_to_fetch)

if bulk_results:
    process_bulk_results(bulk_results)

    # Example: Save audio URLs for batch download
    audio_urls = [bulk_results[story]['audio_url'] for story in bulk_results]
    print(f"\nExtracted {len(audio_urls)} audio URLs for batch processing")