119 lines
5.6 KiB
Python
119 lines
5.6 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=0.7, max_retries=5)
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TZ_BJ = timezone(timedelta(hours=8))
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VAULT = "/home/ubuntu/obsidian-vault"
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def read_vault_sample():
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parts = []
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dirs_to_read = [
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"01 写作/随笔", "03 日志/日省录", "03 日志/交易日志",
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"00 Inbox", "05 投资交易", "02 阅读学习/微信读书阅读摘录"
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]
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for rel in dirs_to_read:
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d = os.path.join(VAULT, rel)
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if not os.path.isdir(d): continue
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files = sorted([f for f in os.listdir(d) if f.endswith(".md")])
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for fname in files[:5]:
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fpath = os.path.join(d, fname)
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try:
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with open(fpath, "r", encoding="utf-8", errors="ignore") as f:
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c = f.read()
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if c.startswith("---"):
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idx = c.find("---", 3)
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if idx != -1: c = c[idx+3:].strip()
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if len(c) > 1500: c = c[:1500] + "\n...[截断]"
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parts.append("### " + fname + "\n\n" + c)
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except: pass
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return "\n\n".join(parts)
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# Also read key philosophical/life reflection pieces
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def read_key_writings():
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key_files = [
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"01 写作/随笔/朝闻道，夕死可矣之我见.md",
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"01 写作/随笔/君子不立危墙之下.md",
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"01 写作/随笔/我曾在魔窟走过一遭.md",
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"01 写作/随笔/很多人的一生，就是狗生.md",
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"01 写作/随笔/长时间的深入思考，才有可能灵光一闪.md",
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"01 写作/个人修养十八字.md",
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"01 写作/我的个人规则.md",
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"01 写作/道之既出，淡乎其无味.md",
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]
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parts = []
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for rel in key_files:
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fp = os.path.join(VAULT, rel)
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if not os.path.isfile(fp): continue
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try:
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with open(fp, "r", encoding="utf-8", errors="ignore") as f:
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c = f.read()
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if c.startswith("---"):
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idx = c.find("---", 3)
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if idx != -1: c = c[idx+3:].strip()
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if len(c) > 2000: c = c[:2000] + "\n...[截断]"
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parts.append("### " + rel + "\n\n" + c)
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except: pass
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return "\n\n".join(parts)
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memos_raw = mc.list_memos(days=30)
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memo_texts = []
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for m in memos_raw:
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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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memo_texts.append("- [" + ts + "] " + m["content"].strip())
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memo_block = "\n".join(memo_texts[-50:])
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print("Reading vault...")
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vault_sample = read_vault_sample()
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key_writings = read_key_writings()
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prompt = "以下是一个人的全部思想素材——他的私人写作、哲学思考、阅读笔记、日常灵感。请基于这些素材进行深度人格分析。\n\n"
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prompt += "## 一、代表性随笔与哲学思考\n\n" + key_writings + "\n\n"
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prompt += "## 二、文库代表性笔记\n\n" + vault_sample[:8000] + "\n\n"
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prompt += "## 三、近期灵感碎片\n\n" + memo_block + "\n\n"
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prompt += "请从三个维度回答：\n\n"
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prompt += "### 1. 人格素描\n"
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prompt += "用500字左右描述这个人的核心人格特征——他的动力来源、思维模式、情感模式、与世界互动的方式。不要套用MBTI标签，用他自己的语言和事例说话。\n\n"
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prompt += "### 2. 最适合的哲学流派与作者\n"
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prompt += "分析他天然亲近哪个哲学流派（存在主义？斯多葛？道家？儒家？尼采？），以及哪位作者的思想与他最为共振。要给出具体理由，引用他原文中的证据。\n\n"
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prompt += "### 3. 生命之书类比\n"
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prompt += "如果有人把他的思想、经历、感悟编撰成一本书，这本书会和市面上哪本现成的书最为相似？可以是小说、哲学著作、传记、随笔集。分析相似之处和差异。\n\n"
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prompt += "请输出纯Markdown，字数不限，但务必有实质、有证据、有引用。"
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sp = "你是一个深度的文本分析者和人格解读者。你将从一个人的全部写作素材中，提炼出他的人格内核、哲学倾向和思想谱系。用他的原文作为证据，不要泛泛而谈。输出纯Markdown。"
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print("Calling DeepSeek API...")
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result = llm.ask(system_prompt=sp, user_prompt=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: personality-deep\ntags: [人格分析, 哲学, 深度解读]\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") + "_personality_deep_" + 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", "deep personality 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")
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