67 lines
2.8 KiB
Python
67 lines
2.8 KiB
Python
import sys, os, json
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sys.path.insert(0, '/home/ubuntu/inspiration-collector')
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from tools.config import load_secrets, get_output_dir
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from tools.llm import DeepSeekClient
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from tools.memos_client import MemosClient
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from datetime import datetime, timezone, timedelta
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import subprocess
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secrets = load_secrets()
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mc = MemosClient(secrets.get("memos_url", "http://localhost:5230"), secrets["memos_token"])
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llm = DeepSeekClient(secrets["deepseek_api_key"], secrets.get("deepseek_model", "deepseek-chat"), temperature=0.5)
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TZ_BJ = timezone(timedelta(hours=8))
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memos = mc.list_memos(days=7)
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keywords = ["浙大", "浙江大学", "章丰", "有为与有效", "王坚", "黑土地", "牧场", "蓝天", "AI驱动", "产业发展新逻辑"]
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zju_memos = []
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for m in memos:
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content = m["content"]
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if any(kw in content for kw in keywords):
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zju_memos.append(m)
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if not zju_memos:
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print("未找到浙大相关灵感")
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sys.exit(0)
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lines = []
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for m in zju_memos:
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ct = m["created_at"]
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try:
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dt = datetime.fromisoformat(ct.replace("Z", "+00:00")) + timedelta(hours=8)
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ts = dt.strftime("%m/%d %H:%M")
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except:
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ts = ct[:16]
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line = "- **[" + ts + "]** " + m["content"].strip()
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lines.append(line)
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user_prompt = "以下是我在浙江大学学习期间记录的灵感，请基于此写一篇专题分析：\n\n" + "\n\n".join(lines)
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user_prompt += "\n\n请重点分析：1) 课程的核心内容 2) 推荐的书和人物的背景介绍 3) 这些知识如何与我的个人系统构建相结合"
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system_prompt = """你是一个私人学习伙伴。用户正在浙江大学参加培训，以下是他记录的与学习相关的灵感。
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请只分析这些内容，不要涉及其他话题。
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要求：引用原文、融会贯通、有实质内容，不少于2000字。输出纯Markdown。"""
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result = llm.ask(system_prompt=system_prompt, user_prompt=user_prompt)
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date = datetime.now(timezone.utc)
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now_bj = datetime.now(TZ_BJ)
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content = "---\ndate: " + date.strftime("%Y-%m-%d") + "\ntype: zju-special\ntags: [浙大学习, 专题分析]\n---\n\n"
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content += result
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daily_dir = os.path.join(get_output_dir("daily"), date.strftime("%Y-%m-%d"))
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os.makedirs(daily_dir, exist_ok=True)
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now_str = now_bj.strftime("%H%M%S")
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fname = date.strftime("%Y-%m-%d") + "_zju_analysis_" + now_str + ".md"
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fpath = os.path.join(daily_dir, fname)
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with open(fpath, "w", encoding="utf-8") as f:
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f.write(content)
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print("Done: " + fpath + " (" + str(len(result)) + " chars)")
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proj = "/home/ubuntu/inspiration-collector"
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subprocess.run(["git", "add", fpath], cwd=proj, capture_output=True, timeout=15)
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subprocess.run(["git", "commit", "-m", "zju analysis " + now_str], cwd=proj, capture_output=True, timeout=15)
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subprocess.run(["git", "push", "origin", "main"], cwd=proj, capture_output=True, timeout=30)
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print("Pushed to Gitea")
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