LongArticlesJob/coldStartTasks/ai_pipeline/basic.py

import os
import time
import datetime
import requests

from applications.db import DatabaseConnector


def get_status_field_by_process(process: str) -> tuple[str, str]:
    match process:
        case "upload":
            status = "upload_status"
            update_timestamp = "upload_status_ts"
        case "understanding":
            status = "understanding_status"
            update_timestamp = "understanding_status_ts"
        case "summary":
            status = "summary_status"
            update_timestamp = "summary_status_ts"
        case "rewrite":
            status = "rewrite_status"
            update_timestamp = "rewrite_status_ts"
        case _:
            raise ValueError(f"Unexpected task: {process}")
    return status, update_timestamp


def roll_back_lock_tasks(
    db_client: DatabaseConnector,
    process: str,
    max_process_time: int,
    init_status: int,
    processing_status: int
) -> int:
    """
    rollback tasks which have been locked for a long time
    """
    status, update_timestamp = get_status_field_by_process(process)
    now_timestamp = int(time.time())
    timestamp_threshold = now_timestamp - max_process_time
    update_query = f"""
        update video_content_understanding
        set {status} = %s
        where {status} = %s and {update_timestamp} < %s;
    """
    rollback_rows = db_client.save(
        query=update_query, params=(init_status, processing_status, timestamp_threshold)
    )
    return rollback_rows


def download_file(task_id, oss_path):
    """
    下载视频文件
    """
    video_url = "https://rescdn.yishihui.com/" + oss_path
    file_name = "static/{}.mp4".format(task_id)
    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


def generate_summary_prompt(text):
    prompt = f"""
        你是1个优秀的公众号文章写作大师，我对你有以下要求
        视频总结：{text}

        第一个要求：请仔细阅读以上视频总结，挑选其中最吸引人的情节或话题，总结为100字左右文章精彩总结（字数计算包括标点符号），这部分内容为段落1。
        句子段落之间以悬念承接，可以吸引读者往下读第二句。

        第二个要求：在这100字内容的结尾处，增加1-2句话的引导，引导大家去观看上面的视频了解详情，可以加一些emoji表情。注意是点击上面的视频，不是下面的视频。这部分内容为段落2。

        你最终输出一段总结内容，将第一段和第二段之间空格一行。不用加标题或者主题，也不用写第几段、多少字这样的话。整体的语言风格要口语化、直接点，要让60岁以上的老年人能看懂、能共情。人的名字尽量用全名，不用简称。
        """
    return prompt


def update_task_queue_status(
        db_client: DatabaseConnector,
        task_id: int,
        process: str,
        ori_status: int,
        new_status: int) -> int:
    # update task queue status
    status, update_timestamp = get_status_field_by_process(process)
    update_query = f"""
        update video_content_understanding 
        set {status} = %s, {update_timestamp} = %s
        where {status} = %s and id = %s;
    """
    roll_back_rows = db_client.save(
        query=update_query,
        params=(
            new_status,
            datetime.datetime.now(),
            ori_status,
            task_id,
        ),
    )
    return roll_back_rows


def update_video_pool_status(
        db_client: DatabaseConnector,
        content_trace_id: str,
        ori_status: int,
        new_status: int) -> int:
    # update publish_single_source_status
    update_query = f"""
                update publish_single_video_source
                set status = %s
                where content_trace_id = %s and status = %s
            """
    affected_rows = db_client.save(
        query=update_query, params=(new_status, content_trace_id, ori_status)
    )
    return affected_rows