基于腾讯云的AI短剧自动化生产解决方案

计算服务:
  - 云服务器 CVM
  - 云函数 SCF
  - 弹性容器服务 TKE

AI服务:
  - 腾讯云大模型
  - 腾讯云AI绘画
  - 腾讯云语音合成

存储服务:
  - 对象存储 COS
  - 云数据库 MySQL
  - Redis 缓存

网络服务:
  - API网关
  - 内容分发网络 CDN
  - 消息队列 CKafka

# services/script_generator.py

from tencentcloud.common import credential
from tencentcloud.hunyuan.v20230901 import hunyuan_client, models

class ScriptGenerator:
    def __init__(self, secret_id, secret_key):
        self.cred = credential.Credential(secret_id, secret_key)
        self.client = hunyuan_client.HunyuanClient(self.cred)

    def generate_outline(self, topic, episode_count=10):
        """生成剧本大纲"""

        prompt = f"""
        你是一位专业短剧编剧，请创作一部{episode_count}集的短剧大纲。

        题材：{topic}

        要求：
        1. 每集1-3分钟，80-150字
        2. 每集结尾留悬念
        3. 强冲突、快节奏
        4. 适合AI生成画面

        请以JSON格式返回。
        """

        req = models.ChatCompletionsRequest()
        req.Messages = [
            {"Role": "user", "Content": prompt}
        ]
        req.Model = "hunyuan-pro"

        resp = self.client.ChatCompletions(req)

        return json.loads(resp.Choices[0].Message.Content)

# services/image_generator.py

from tencentcloud.tai.v20220725 import tai_client, models

class ImageGenerator:
    def __init__(self, secret_id, secret_key):
        self.cred = credential.Credential(secret_id, secret_key)
        self.client = tai_client.TaiClient(self.cred)

    def generate_scene(self, prompt, style="realistic"):
        """生成场景图片"""

        req = models.ImageGenRequest()

        # 根据风格设置提示词
        style_prompts = {
            "realistic": "photorealistic, 8k, high quality",
            "anime": "anime style, vibrant colors",
            "watercolor": "watercolor painting style"
        }

        full_prompt = f"{prompt}, {style_prompts.get(style, '')}"

        req.Prompt = full_prompt
        req.Radius = 512  # 图片尺寸

        resp = self.client.ImageGen(req)

        return {
            "image_url": resp.ImageUrl,
            "task_id": resp.TaskId
        }

# services/voice_generator.py

from tencentcloud.tts.v20190823 import tts_client, models

class VoiceGenerator:
    def __init__(self, secret_id, secret_key):
        self.cred = credential.Credential(secret_id, secret_key)
        self.client = tts_client.TtsClient(self.cred)

    def synthesize(self, text, voice_type="101001"):
        """合成语音"""

        req = models.TextToVoiceRequest()
        req.Text = text
        req.VoiceType = voice_type  # 音色类型
        req.Codec = "mp3"
        req.SampleRate = 16000

        resp = self.client.TextToVoice(req)

        return {
            "audio": base64.b64decode(resp.Audio),
            "format": "mp3"
        }

# functions/create_script.py

import json
import os
from tencentcloud.common import credential
from tencentcloud.hunyuan.v20230901 import hunyuan_client, models

def main_handler(event, context):
    """云函数入口"""

    # 解析输入参数
    body = json.loads(event['body'])
    topic = body['topic']
    episode_count = body.get('episode_count', 10)

    # 初始化客户端
    secret_id = os.getenv('TENCENT_SECRET_ID')
    secret_key = os.getenv('TENCENT_SECRET_KEY')

    cred = credential.Credential(secret_id, secret_key)
    client = hunyuan_client.HunyuanClient(cred)

    # 生成大纲
    prompt = f"创作一部{episode_count}集的{topic}短剧大纲"

    req = models.ChatCompletionsRequest()
    req.Messages = [{"Role": "user", "Content": prompt}]
    req.Model = "hunyuan-pro"

    resp = client.ChatCompletions(req)

    outline = json.loads(resp.Choices[0].Message.Content)

    # 返回结果
    return {
        'statusCode': 200,
        'body': json.dumps({
            'outline': outline
        })
    }

# utils/cost_calculator.py

class TencentCloudCostCalculator:
    """腾讯云成本计算器"""

    PRICING = {
        'hunyuan_llm': 0.006,      # 元/1k tokens
        'ai_draw': 0.02,           # 元/张
        'tts': 0.008,              # 元/次
        'mps': 0.05,               # 元/分钟
        'cos': 0.005,              # 元/GB/月
        'scf': 0.0000167,          # 元/GUs
    }

    def calculate_drama_cost(
        self,
        episode_count,
        avg_duration
    ):
        """计算单部短剧成本"""

        costs = {}

        # 剧本生成成本
        tokens = episode_count * 500
        costs['script'] = (tokens / 1000) * self.PRICING['hunyuan_llm']

        # 画面生成成本
        scenes = episode_count * 5  # 假设每集5个场景
        costs['video'] = scenes * self.PRICING['ai_draw']

        # 语音合成成本
        costs['audio'] = episode_count * self.PRICING['tts']

        # 视频处理成本
        costs['mps'] = episode_count * avg_duration * self.PRICING['mps']

        # 存储成本
        storage = episode_count * avg_duration * 10 / 1024  # GB
        costs['storage'] = storage * self.PRICING['cos']

        # 函数调用成本
        gpus = episode_count * 100  # 估算
        costs['scf'] = gpus * self.PRICING['scf']

        costs['total'] = sum(costs.values())

        return costs