DeepSeek 自媒体内容工程：从选题到发布的专业实践

import os, json
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["DEEPSEEK_API_KEY"],
    base_url="https://api.deepseek.com",
)

def chat(messages, temperature=0.7, json_mode=False):
    kwargs = {
        "model": "deepseek-chat",
        "messages": messages,
        "temperature": temperature,
    }
    if json_mode:
        kwargs["response_format"] = {"type": "json_object"}
    resp = client.chat.completions.create(**kwargs)
    return resp.choices[0].message.content

OUTLINE_PROMPT = """你是资深技术编辑。根据主题生成文章大纲。
只输出 JSON，格式：
{"title": "", "audience": "", "sections": [{"heading": "", "points": []}]}
要求：面向开发者，拒绝标题党，不编造数据。"""

def make_outline(topic: str) -> dict:
    content = chat([
        {"role": "system", "content": OUTLINE_PROMPT},
        {"role": "user", "content": f"主题：{topic}"},
    ], json_mode=True)
    return json.loads(content)

def make_draft(topic: str, outline: dict) -> str:
    prompt = f"""根据大纲写一篇 1200 字左右的技术文章。
主题：{topic}
大纲：{json.dumps(outline, ensure_ascii=False)}
要求：有代码示例、有边界说明、不夸大、不承诺收益。"""
    return chat([{"role": "user", "content": prompt}])

REVIEW_PROMPT = """你是内容合规审核员。审核草稿，只输出 JSON：
{"risk_level": "low|medium|high",
 "issues": ["..."],
 "fact_check_needed": ["..."],
 "suggestions": ["..."]}
重点检查：虚假数据、绝对化用语、侵权、敏感话题、平台违规。"""

def review(text: str) -> dict:
    content = chat([
        {"role": "system", "content": REVIEW_PROMPT},
        {"role": "user", "content": text},
    ], json_mode=True)
    return json.loads(content)

def pipeline(topic: str):
    outline = make_outline(topic)
    draft = make_draft(topic, outline)
    report = review(draft)
    if report["risk_level"] == "high":
        return {"status": "blocked", "report": report}
    return {"status": "pending_human_review", "draft": draft, "report": report}