LongArticlesJob/coldStartTasks/multi_modal/generate_text_from_video.py

"""
@author: luojunhui
"""
import os
import time

import requests

from pymysql.cursors import DictCursor
from tqdm import tqdm

from applications.api import GoogleAIAPI
from applications.db import DatabaseConnector
from config import long_articles_config

# os.environ["HTTP_PROXY"] = "http://192.168.100.20:1087"
# os.environ["HTTPS_PROXY"] = "http://192.168.100.20:1087"

PROCESSING_MAX_VIDEO_COUNT = 10


def download_file(pq_vid, video_url):
    """
    下载视频文件
    """
    file_name = "static/{}.mp4".format(pq_vid)
    if os.path.exists(file_name):
        return file_name

    proxies = {
        "http": None,
        "https": None
    }
    with open(file_name, 'wb') as f:
        response = requests.get(video_url, proxies=proxies)
        f.write(response.content)
    return file_name


class GenerateTextFromVideo(object):
    """
    从视频中生成文本
    """
    def __init__(self):
        self.google_ai_api = GoogleAIAPI()
        self.db = DatabaseConnector(db_config=long_articles_config)

    def connect_db(self):
        """
        连接数据库
        """
        self.db.connect()

    def input_task_list(self):
        """
        输入任务列表, 从single_video_pool中获取
        """
        sql = f"""
        select article_title, concat('https://rescdn.yishihui.com/', video_oss_path ) as video_url, audit_video_id
        from publish_single_video_source 
        where audit_status = 1 and bad_status = 0 and extract_status = 0
        order by id desc;
        """
        task_list = self.db.fetch(sql, cursor_type=DictCursor)
        insert_sql = f"""
        insert ignore into video_content_understanding
            (pq_vid, video_ori_title, video_oss_path)
        values (%s, %s, %s)
        """
        affected_rows = self.db.save_many(
            insert_sql,
            params_list=[(i['audit_video_id'], i['article_title'], i['video_url']) for i in task_list]
        )
        print(affected_rows)

    def upload_video_to_google_ai(self):
        """
        上传视频到Google AI
        """
        # 查询出在视频处于PROCESSING状态的视频数量
        select_sql = "select count(1) as processing_count from video_content_understanding where status = 1;"
        count = self.db.fetch(select_sql, cursor_type=DictCursor)[0]['processing_count']
        rest_video_count = PROCESSING_MAX_VIDEO_COUNT - count
        success_upload_count = 0
        if rest_video_count:
            sql = f"""select pq_vid, video_oss_path from video_content_understanding where status = 0 limit {rest_video_count};"""
            task_list = self.db.fetch(sql, cursor_type=DictCursor)
            for task in tqdm(task_list, desc="upload_video_task"):
                file_path = download_file(task['pq_vid'], task['video_oss_path'])
                google_upload_result = self.google_ai_api.upload_file(file_path)

                if google_upload_result:
                    file_name, file_state, expire_time = google_upload_result
                    update_sql = f"""
                        update video_content_understanding
                        set status = %s, file_name = %s, file_state = %s, file_expire_time = %s
                        where pq_vid = %s;
                    """
                    self.db.save(
                        update_sql,
                        params=(1, file_name, file_state, expire_time, task['pq_vid'])
                    )
                    success_upload_count += 1
                else:
                    continue

        return success_upload_count

    def get_tasks(self):
        """
        获取处理视频转文本任务
        """
        sql = "select pq_vid, file_name from video_content_understanding where status = 1 order by file_expire_time limit 5;"
        task_list = self.db.fetch(sql, cursor_type=DictCursor)
        return task_list

    def convert_video_to_text_with_google_ai(self):
        """
        处理视频转文本任务
        """
        task_list = self.get_tasks()
        while task_list:
            for task in tqdm(task_list, desc="convert video to text"):
                file_name = task['file_name']
                google_file = self.google_ai_api.get_google_file(file_name)
                state = google_file.state.name
                match state:
                    case 'ACTIVE':
                        try:
                            video_text = self.google_ai_api.get_video_text(
                                prompt="分析我上传的视频的画面和音频，用叙述故事的风格将视频所描述的事件进行总结，需要保证视频内容的完整性，并且用中文进行输出，直接返回生成的文本。",
                                video_file=google_file
                            )
                            if video_text:
                                update_sql = f"""
                                    update video_content_understanding
                                    set status = %s, video_text = %s, file_state = %s
                                    where pq_vid = %s;
                                """
                                self.db.save(
                                    update_sql,
                                    params=(2, video_text, state, task['pq_vid'])
                                )
                                os.remove("static/{}.mp4".format(task['pq_vid']))
                                tqdm.write("video transform to text success, delete local file, sleep 1 min...")
                                task_list.remove(task)
                        except Exception as e:
                            tqdm.write(str(e))
                            continue

                    case 'PROCESSING':
                        tqdm.write("video is still processing")
                        continue

                    case 'FAILED':
                        tqdm.write("video process failed")
                        continue
                time.sleep(10)

            tqdm.write("执行完一轮任务，剩余数量：{}".format(len(task_list)))
            time.sleep(60)