137 lines
5.5 KiB
Python
137 lines
5.5 KiB
Python
import json
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import time
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import logging
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from JiMeng.Kit.JmCommon import JmCommon
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from JiMeng.Kit.JmErrorCode import JmErrorCode
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# 配置日志
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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logger = logging.getLogger('JmImg2Video')
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class JmImg2Video(JmCommon):
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req_key = "jimeng_vgfm_i2v_l20"
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action = "CVSync2AsyncSubmitTask"
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@staticmethod
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def submit_image_to_video_task(image_urls, prompt):
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"""
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提交图生视频任务（使用图片URL）
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:param image_urls: 图片URL列表
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:param prompt: 提示词
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:return: 任务结果
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:raises Exception: 异常信息
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"""
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# 创建请求体
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req = {
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"req_key": JmImg2Video.req_key,
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"image_urls": image_urls,
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"prompt": prompt
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}
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response_body = JmCommon.do_request(
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method="POST",
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query_list={}, # 添加空字典作为query_list参数
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body=json.dumps(req).encode('utf-8'),
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action=JmImg2Video.action
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)
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return json.loads(response_body)
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def main():
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try:
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# 玩法参考: https://www.volcengine.com/docs/85621/1544774
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image_urls = [
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"https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/Backup/Text2Img.jpg"
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]
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prompt = """
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|镜号|运镜|画面内容|
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| :---: | :---: | --- |
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|1|固定镜头|穿着黄色安全帽、反光背心的工人背着小女孩，左手抱着小熊玩偶，两人脸上洋溢着幸福的笑容，背景是老旧居民楼和湿漉漉的路面。|
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|2|推镜头|镜头从两人全身慢慢推近至两人上半身，聚焦两人亲密温馨的神态。|
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|3|平移镜头|镜头从两人正面平移至侧面，展现工人的朴实与小女孩的可爱。|
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|4|拉镜头|镜头逐渐拉远，展现两人在居民楼间道路上的整体场景。|
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|5|固定镜头|定格在两人互动的画面，突出亲情的温暖氛围。|
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"""
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mp4_file_name = "image2video.mp4"
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# 添加重试逻辑，处理API并发限制错误
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submit_result = None
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submit_retry_count = 0
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max_submit_retries = 1000 # 最大重试次数
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submit_retry_interval = 3000 # 重试间隔（毫秒）
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while submit_retry_count < max_submit_retries:
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try:
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submit_result = JmImg2Video.submit_image_to_video_task(image_urls, prompt)
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logger.info(f"提交结果: {submit_result}")
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code = submit_result.get("code")
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if code == JmErrorCode.API_CONCURRENT_LIMIT[0]:
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logger.warning(f"API并发限制，等待{submit_retry_interval}毫秒后重试...")
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time.sleep(submit_retry_interval / 1000)
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submit_retry_count += 1
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continue
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elif not JmErrorCode.is_success(code):
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logger.error(f"提交任务失败: 错误码={code}, 错误信息={JmErrorCode.get_message_by_code(code)}")
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return
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# 成功获取结果，跳出循环
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break
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except Exception as e:
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logger.error(f"提交任务异常: {str(e)}", exc_info=True)
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submit_retry_count += 1
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if submit_retry_count < max_submit_retries:
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logger.warning(f"等待{submit_retry_interval}毫秒后重试...")
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time.sleep(submit_retry_interval / 1000)
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else:
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raise # 达到最大重试次数，抛出异常
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if submit_retry_count >= max_submit_retries:
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logger.error(f"提交任务失败，已达到最大重试次数: {max_submit_retries}")
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return
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# 获取任务ID
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task_id = submit_result.get("data", {}).get("task_id")
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logger.info(f"任务ID: {task_id}")
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# 检查任务是不是已经结束
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query_retry_count = 0
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max_query_retries = 10000 # 最大查询次数
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query_retry_interval = 3000 # 查询间隔（毫秒）
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while query_retry_count < max_query_retries:
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result = JmCommon.query_task_result(task_id)
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logger.info(f"查询结果: {result}")
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code = result.get("code")
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if not JmErrorCode.is_success(code):
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logger.error(f"查询失败: 错误码={code}, 错误信息={JmErrorCode.get_message_by_code(code)}")
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break
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data = result.get("data")
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if data and data.get("video_url"):
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video_url = data.get("video_url")
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logger.info(f"视频地址: {video_url}")
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# 下载视频
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save_video_path = fr"D:\dsWork\dsProject\dsLightRag\JiMeng\{mp4_file_name}"
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logger.info("开始下载视频...")
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JmCommon.download_file(video_url, save_video_path)
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logger.info(f"视频已下载到: {save_video_path}")
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break
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else:
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logger.info(f"任务处理中，等待{query_retry_interval}毫秒后重试...")
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time.sleep(query_retry_interval / 1000)
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query_retry_count += 1
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if query_retry_count >= max_query_retries:
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logger.error(f"任务查询超时，已达到最大查询次数: {max_query_retries}")
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except Exception as e:
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logger.error(f"程序执行异常: {str(e)}", exc_info=True)
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if __name__ == "__main__":
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main() |