DeepSeek 自媒体实战：用 AI 把内容生产效率提升 10 倍

热点/垂类 -> 选题 -> 标题 -> 正文 -> 平台适配 -> 合规检查 -> 分发

# deepseek_client.py
from openai import OpenAI
import os

client = OpenAI(
    api_key=os.getenv("DEEPSEEK_API_KEY"),
    base_url="https://api.deepseek.com/v1",
)

def ask(prompt: str, system: str = "你是资深自媒体运营专家，中文表达精准，懂平台调性。",
        model: str = "deepseek-chat", temperature: float = 0.7) -> str:
    resp = client.chat.completions.create(
        model=model,
        messages=[
            {"role": "system", "content": system},
            {"role": "user", "content": prompt},
        ],
        temperature=temperature,
    )
    return resp.choices[0].message.content.strip()

# topic.py
def generate_topics(domain: str, count: int = 5) -> list[str]:
    prompt = f"""你是{domain}领域的资深编辑。
请基于当前用户痛点，生成 {count} 个高潜力选题。
要求：
1. 每个选题有明确目标读者；
2. 有情绪钩子或信息增量；
3. 一行一个，不要编号，不要解释。
"""
    text = ask(prompt, temperature=0.9)
    return [line.strip() for line in text.splitlines() if line.strip()]

# title.py
def generate_titles(topic: str, platform: str = "小红书", count: int = 5) -> list[str]:
    prompt = f"""为{platform}平台，围绕选题「{topic}」写 {count} 个标题。
要求：
- 20 字以内；
- 有数字、悬念或反常识；
- 符合{platform}用户阅读习惯；
- 一行一个，不要编号。
"""
    text = ask(prompt, temperature=1.0)
    return [line.strip() for line in text.splitlines() if line.strip()]

# adapter.py
PLATFORM_RULES = {
    "公众号": "1500-2500字，结构清晰，有金句，适合深度阅读。",
    "小红书": "300-600字，多用emoji，分点短句，口语化，结尾带话题标签。",
    "知乎": "1000-2000字，逻辑严谨，有论据，专业感强。",
    "抖音": "口播脚本，300字内，前3秒抓人，节奏快。",
}

def adapt_content(topic: str, platform: str) -> str:
    rule = PLATFORM_RULES.get(platform, "")
    prompt = f"""围绕主题「{topic}」，写一篇{platform}内容。
平台规则：{rule}
要求：原创、有观点、不空泛，直接输出正文。
"""
    return ask(prompt, temperature=0.7)

# compliance.py
BANNED = ["绝对", "第一", "100%", "永久", "治愈", "最便宜"]

def check_compliance(text: str) -> dict:
    hits = [w for w in BANNED if w in text]
    prompt = f"""检查以下内容是否有广告法违规、敏感词或平台违规风险，
只返回问题清单，没有则返回"无"：

{text}
"""
    ai_risk = ask(prompt, temperature=0.2)
    return {
        "banned_words": hits,
        "ai_review": ai_risk,
        "safe": not hits and "无" in ai_risk,
    }

# main.py
def produce(domain: str, platform: str):
    topics = generate_topics(domain, count=3)
    topic = topics[0]

    titles = generate_titles(topic, platform, count=5)
    content = adapt_content(topic, platform)
    report = check_compliance(content)

    return {
        "topic": topic,
        "candidates": topics,
        "titles": titles,
        "content": content,
        "compliance": report,
    }

if __name__ == "__main__":
    result = produce("AI 工具", "小红书")
    print("选题：", result["topic"])
    print("标题：", result["titles"])
    print("合规：", result["compliance"]["safe"])
    print("\n正文：\n", result["content"])

选题 -> 标题 -> 正文 -> 适配 -> 合规 -> 分发