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import os
import time
import json
import logging
import requests
from typing import Optional, Dict, Any, List
from urllib.parse import urlparse
# --- Logging Setup ---
def get_logger(name: str = __name__):
logger = logging.getLogger(name)
if not logger.handlers:
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('sora_video_downloader.log'),
logging.StreamHandler()
]
)
return logger
logger = get_logger()
# --- Sora API Client ---
class SoraClient:
def __init__(self, api_key: str, base_url: str, api_version: str = "preview"):
self.api_key = api_key
self.base_url = base_url.rstrip('/')
self.api_version = api_version
self.session = requests.Session()
self.session.headers.update({
'api-key': self.api_key,
'Content-Type': 'application/json'
})
logger.info("SoraClient initialized")
def start_video_job(self, prompt: str, height: int = 1080, width: int = 1080, n_seconds: int = 5, n_variants: int = 1) -> Optional[str]:
url = f"{self.base_url}/openai/v1/video/generations/jobs?api-version={self.api_version}"
payload = {
"model": "sora",
"prompt": prompt,
"height": str(height),
"width": str(width),
"n_seconds": str(n_seconds),
"n_variants": str(n_variants)
}
try:
response = self.session.post(url, json=payload)
if response.status_code in [200, 201, 202]:
result = response.json()
job_id = result.get('id') or result.get('job_id') or result.get('jobId')
return job_id
else:
logger.error(f"Failed to start job: {response.status_code} {response.text}")
return None
except Exception as e:
logger.error(f"Exception in start_video_job: {e}")
return None
def get_job_status(self, job_id: str) -> Dict[str, Any]:
url = f"{self.base_url}/openai/v1/video/generations/jobs/{job_id}?api-version={self.api_version}"
try:
response = self.session.get(url)
if response.status_code == 200:
return response.json()
else:
logger.error(f"Failed to get job status: {response.status_code} {response.text}")
return {"status": "error", "error": f"HTTP {response.status_code}"}
except Exception as e:
logger.error(f"Exception in get_job_status: {e}")
return {"status": "error", "error": str(e)}
def wait_for_job(self, job_id: str, max_wait_time: int = 300, poll_interval: int = 10) -> Optional[Dict[str, Any]]:
start_time = time.time()
while time.time() - start_time < max_wait_time:
status_result = self.get_job_status(job_id)
status = status_result.get('status', '').lower()
if status in ['completed', 'succeeded', 'success']:
return status_result
elif status in ['failed', 'error']:
return None
time.sleep(poll_interval)
logger.error(f"Job {job_id} timed out after {max_wait_time}s")
return None
def get_generation_details(self, generation_id: str) -> Dict[str, Any]:
url = f"{self.base_url}/openai/v1/video/generations/{generation_id}?api-version={self.api_version}"
try:
resp = self.session.get(url)
if resp.status_code == 200:
return resp.json()
else:
logger.error(f"Failed to fetch generation details: HTTP {resp.status_code}")
return {}
except Exception as e:
logger.error(f"Exception in get_generation_details: {e}")
return {}
def extract_video_urls(self, job_result: Dict[str, Any]) -> List[str]:
video_urls = []
generations = job_result.get('generations', [])
if isinstance(generations, list) and generations:
for g in generations:
gen_id = g.get('id') if isinstance(g, dict) else None
if not gen_id:
continue
content_url = f"{self.base_url}/openai/v1/video/generations/{gen_id}/content/video?api-version={self.api_version}"
video_urls.append(content_url)
return video_urls
def download_video(self, video_url: str, output_filename: str) -> bool:
try:
download_session = requests.Session()
download_session.headers.update({'api-key': self.api_key})
response = download_session.get(video_url, stream=True)
if response.status_code == 200:
with open(output_filename, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)
return True
else:
logger.error(f"Failed to download video: {response.status_code} {response.text}")
return False
except Exception as e:
logger.error(f"Exception in download_video: {e}")
return False
# --- Video Job Abstraction ---
class VideoJob:
def __init__(self, sora_client: SoraClient, prompt: str, height: int = 1080, width: int = 1080, n_seconds: int = 5, n_variants: int = 1):
self.sora_client = sora_client
self.prompt = prompt
self.height = height
self.width = width
self.n_seconds = n_seconds
self.n_variants = n_variants
self.job_id: Optional[str] = None
self.result: Optional[Dict[str, Any]] = None
self.video_urls: List[str] = []
def run(self, wait: bool = True) -> bool:
self.job_id = self.sora_client.start_video_job(
self.prompt, self.height, self.width, self.n_seconds, self.n_variants
)
if not self.job_id:
logger.error("Failed to start video job")
return False
if wait:
self.result = self.sora_client.wait_for_job(self.job_id)
if not self.result:
logger.error("Job failed or timed out")
return False
self.video_urls = self.sora_client.extract_video_urls(self.result)
if not self.video_urls:
logger.error("No video URLs found")
return False
return True
def download_videos(self, output_dir: str) -> List[str]:
saved_files = []
for i, url in enumerate(self.video_urls):
filename = f"sora_video_{self.job_id}_{i+1}.mp4"
filepath = os.path.join(output_dir, filename)
if self.sora_client.download_video(url, filepath):
saved_files.append(filepath)
return saved_files
# --- Video Storage Handler ---
class VideoStorage:
def __init__(self, storage_dir: str = "videos"):
self.storage_dir = storage_dir
os.makedirs(self.storage_dir, exist_ok=True)
def save_video(self, src_path: str, filename: str) -> str:
dst_path = os.path.join(self.storage_dir, filename)
os.rename(src_path, dst_path)
return dst_path
def list_videos(self) -> List[str]:
return [os.path.join(self.storage_dir, f) for f in os.listdir(self.storage_dir) if f.endswith('.mp4')]
# --- Main for CLI usage (optional) ---
def main():
api_key = os.getenv('AZURE_OPENAI_API_KEY') or os.getenv('AZURE_API_KEY')
base_url = os.getenv('AZURE_OPENAI_ENDPOINT') or "https://levm3-me7f7pgq-eastus2.cognitiveservices.azure.com"
if not api_key or not base_url:
print("Please set your Azure API key and endpoint.")
return
sora = SoraClient(api_key, base_url)
prompt = "A video of a cat playing with a ball of yarn in a sunny room"
job = VideoJob(sora, prompt)
if job.run():
storage = VideoStorage()
files = job.download_videos(storage.storage_dir)
print(f"Downloaded: {files}")
else:
print("Video generation failed.")
if __name__ == "__main__":
main()
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