Fetch Project Setup Results

import requests
from typing import Any


def fetch_bulk_story_results(run_ids: list[int]) -> dict[str, Any] | None:
    """
    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-here",
        "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: dict[str, Any]) -> None:
    """
    Process and display bulk story results

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

        transcription = results.get(run_id_key, {}).get("transcription", {})
        if transcription:
            print(f"Transcript entries: {len(transcription)}")
            first_entry = transcription[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 = [9872, 9873, 9874, 9875, 9876]

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.get(result, {}).get("audio_url") for result in bulk_results
    ]
    print(f"\nExtracted {len(audio_urls)} audio URLs for batch processing")