知微 (MoFin)
360 lines
12 KiB
Python
360 lines
12 KiB
Python
#!/usr/bin/env python3
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"""cron_to_xmpp.py — 智能cron报告推送
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只推送LLM驱动的分析报告（有实质内容），不推送纯脚本输出。
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关键规则：
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1. 跳过 no_agent 脚本的输出（价格监控、数据同步等机器数据）
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2. 跳过自己的输出目录（30908cdc44a8），避免循环推送
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3. 正文太短（<20字）或只有 [SILENT] 的不推
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4. 超时自动跳过，不影响后续
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"""
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import json
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import subprocess
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import re
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import sys
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from datetime import datetime
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from pathlib import Path
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# 使用绝对路径，不受 profile 环境变量影响
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REAL_HOME = Path("/home/hmo")
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# 扫描目录
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CRON_DIRS = [
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REAL_HOME / ".hermes" / "cron" / "output",
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REAL_HOME / ".hermes" / "profiles" / "position-analyst" / "cron" / "output",
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]
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JOURNAL = REAL_HOME / ".hermes" / "cron" / ".relay_journal.json"
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SILENT_STATS = REAL_HOME / ".hermes" / "cron" / ".silent_daily_count.json"
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MAX_AGE_HOURS = 6 # 只推送6小时内的报告，防止清journal后爆历史
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def load_no_agent_job_ids():
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"""从两个profile的jobs.json中读取所有no_agent=true的job ID"""
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ids = set()
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for jobs_path in [
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REAL_HOME / ".hermes" / "cron" / "jobs.json",
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REAL_HOME / ".hermes" / "profiles" / "position-analyst" / "cron" / "jobs.json",
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]:
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try:
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with open(jobs_path) as f:
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data = json.load(f)
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for j in data.get("jobs", []):
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if j.get("no_agent"):
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ids.add(j["id"])
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except:
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pass
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return ids
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# 硬编码保底（如果 jobs.json 读不到）
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SKIP_DIRS = {
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"30908cdc44a8", # cron-推XMPP中继自身输出
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"health", # 健康检查输出
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}
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FROM = "zhiwei@yoin.fun"
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TO = "hmo@yoin.fun"
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def load_journal():
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try:
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return set(json.loads(JOURNAL.read_text()))
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except:
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return set()
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def save_journal(entries):
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JOURNAL.write_text(json.dumps(sorted(entries)))
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def is_pure_script_output(content):
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"""判断文件是否是纯脚本的机器输出（不是LLM报告）"""
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# LLM报告的特征：有 ## Response 节（包含agent的回复）
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if "## Response" in content:
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return False
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# 以 # Cron Job: 开头但没有 ## Response 的可能是脚本输出
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if content.startswith("# Cron Job:"):
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return True
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# 价格监控的触发输出
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if content.startswith("🔔") and "⏱" in content:
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return True
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# 健康检查报告
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if "MoFin 系统健康检查" in content:
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return True
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# 结构化数据标签（价格监控的机器数据）
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if "<structured_data>" in content:
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return True
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# no_agent 脚本的输出特征（Hermes自动添加的header）
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if "**Mode:** no_agent (script)" in content:
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return True
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return False
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def validate_report_body(body):
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"""质量检查 — 不拦截，返回改进建议"""
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issues = []
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text = body.strip()
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if "重点推荐操作" not in text:
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issues.append("缺少【重点推荐操作】区域（如无需操作可写「无」）")
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if "风险关注" not in text:
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issues.append("缺少【风险关注】区域（如无风险可写「无」）")
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if len(text) > 600:
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issues.append(f"报告偏长({len(text)}字)，建议压缩到600字以内")
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fuzzy = re.findall(r"可关注|可考虑|建议观察|试试|谨慎关注|择机|根据情况", text)
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if fuzzy:
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issues.append(f"含模糊词: {', '.join(set(fuzzy))}，建议替换为明确操作指令")
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if re.search(r"如果.*就.*如果.*就|若.*则.*若.*则", text):
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issues.append("含选择题句式，建议只给一个确定建议")
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return issues
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def send_feedback(issues, job_name):
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"""发送质量反馈给知微自己"""
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from xml.sax.saxutils import escape
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feedback = f"[自我反馈] 报告质量检查发现以下问题，下次注意：\n" + "\n".join(f"• {i}" for i in issues)
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safe = escape(feedback)
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stanza = (
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f"<message from='{FROM}' to='{FROM}' "
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f"type='chat' xml:lang='en'>"
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f"<body>{safe}</body></message>"
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)
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try:
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subprocess.run(
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["docker", "exec", "ejabberd", "ejabberdctl",
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"send_stanza", FROM, FROM, stanza],
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capture_output=True, timeout=10, text=True,
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)
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except:
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pass
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def extract_body(path):
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content = path.read_text(encoding="utf-8", errors="replace")
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if is_pure_script_output(content):
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return None
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parts = content.split("## Response")
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body = parts[1].strip() if len(parts) > 1 else content.strip()
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body = re.sub(r'^#.*?\n', '', body, flags=re.MULTILINE).strip()
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body = re.sub(r'\n?\s*<structured_data>.*?</structured_data>\s*', '', body, flags=re.DOTALL).strip()
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body = re.sub(r'\*\*(.*?)\*\*', r'\1', body)
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# 去掉agent的思考过程（"Now let me...", "Let me...", "Now I have..."等开头）
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body = re.sub(r'^(Now let me|Let me|I need|I will|First let me|First,? I|Now I have|Here.i|I.ll|I.m ).*?\n\n', '', body, flags=re.DOTALL).strip()
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# 去掉末尾的思考尾巴
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body = re.sub(r'\n\s*(Now I|This |I have |I used |The report|The data).*?$', '', body, flags=re.DOTALL).strip()
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# 如果只剩"好的"、"收到"等短回应，丢弃
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if re.match(r'^[\u4e00-\u9fff，。]{1,10}$', body):
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return None
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if not body:
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return None
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# [SILENT] → 不推送（计数的逻辑在 scan() 中处理）
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if "[SILENT]" in body:
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return None
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if len(body) < 20:
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return None
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return body
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def send(body):
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from xml.sax.saxutils import escape
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safe = escape(f"【知微】{body}")
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stanza = (
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f"<message from='{FROM}' to='{TO}' "
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f"type='chat' xml:lang='en'>"
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f"<body>{safe}</body></message>"
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)
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# 重试3次
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for attempt in range(3):
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try:
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r = subprocess.run(
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["docker", "exec", "ejabberd", "ejabberdctl",
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"send_stanza", FROM, TO, stanza],
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capture_output=True, timeout=10, text=True,
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)
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if r.stderr and "error" in r.stderr.lower():
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print(f"send error (attempt {attempt+1}): {r.stderr.strip()[:100]}", file=sys.stderr)
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if attempt < 2:
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continue
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return False
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return r.returncode == 0
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except subprocess.TimeoutExpired:
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print(f"send timeout (attempt {attempt+1})", file=sys.stderr)
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if attempt < 2:
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continue
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return False
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except Exception as e:
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print(f"send err (attempt {attempt+1}): {e}", file=sys.stderr)
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if attempt < 2:
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continue
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return False
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return False
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def validate_format(body):
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"""格式检查 — 只记录不拦截，标记改进点"""
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text = body.strip()
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issues = []
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# 必含区域检查
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has_key = "重点推荐操作" in text
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has_risk = "风险关注" in text
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has_rest = "其余持仓" in text or "今日关注" in text
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if not has_key:
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issues.append("缺【重点推荐操作】区域")
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if not has_risk:
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issues.append("缺【风险关注】区域")
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# 超长提醒
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if len(text) > 600:
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issues.append(f"报告偏长({len(text)}字)，建议压缩到600字内")
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# 模糊词提醒
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fuzzy = re.findall(r"可关注|可考虑|建议观察|试试|谨慎关注|择机|根据情况", text)
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if fuzzy:
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issues.append(f"含模糊词({', '.join(list(set(fuzzy))[:3])})，应给唯一结论")
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# 选择题句式提醒
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if re.search(r"如果.*就|若.*则|可以.*也可以", text):
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issues.append("含选择题句式，应给唯一建议")
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return text, issues # 始终通过，issues 为空就是干净
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def load_silent_stats():
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"""加载当日静默统计"""
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try:
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return json.loads(SILENT_STATS.read_text())
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except:
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return {"date": "", "silent": 0, "short": 0, "script": 0}
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def save_silent_stats(stats):
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SILENT_STATS.write_text(json.dumps(stats))
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def send_silent_summary(stats):
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"""发送当日静默报告汇总"""
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parts = []
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if stats.get("silent", 0) > 0:
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parts.append(f"静默[SILENT] {stats['silent']}次")
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if stats.get("short", 0) > 0:
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parts.append(f"过短(<20字) {stats['short']}次")
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if stats.get("script", 0) > 0:
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parts.append(f"脚本输出 {stats['script']}次")
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if not parts:
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body = "【每日汇总】今日所有cron报告已正常送达，无被拦截的报告。"
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else:
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body = "【每日汇总】今日以下cron报告未送达（已拦截）：\n" + "\n".join(f"• {p}" for p in parts) + "\n\n无操作信号的报告正常静默，有操作信号的都已送达。"
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send(body)
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def scan():
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processed = load_journal()
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new = set()
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n_pushed = 0
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n_silent = 0
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n_short = 0
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n_script = 0
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no_agent_ids = load_no_agent_job_ids()
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skip_all = SKIP_DIRS | no_agent_ids
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for cron_dir in CRON_DIRS:
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if not cron_dir.exists():
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continue
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for d in sorted(cron_dir.iterdir()):
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if not d.is_dir():
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continue
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if d.name in skip_all:
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continue
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for f in sorted(d.iterdir()):
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if f.suffix != ".md":
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continue
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key = str(f.resolve())
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if key in processed or key in new:
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continue
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new.add(key)
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# 跳过超过MAX_AGE_HOURS小时的旧文件
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age_hours = (datetime.now() - datetime.fromtimestamp(f.stat().st_mtime)).total_seconds() / 3600
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if age_hours > MAX_AGE_HOURS:
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continue
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content = f.read_text(encoding="utf-8", errors="replace")
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# 提前判断脚本输出
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if is_pure_script_output(content):
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n_script += 1
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continue
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parts = content.split("## Response")
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body = parts[1].strip() if len(parts) > 1 else content.strip()
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body = re.sub(r'^#.*?\n', '', body, flags=re.MULTILINE).strip()
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body = re.sub(r'\n?\s*<structured_data>.*?</structured_data>\s*', '', body, flags=re.DOTALL).strip()
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body = re.sub(r'\*\*(.*?)\*\*', r'\1', body)
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if not body:
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n_short += 1
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continue
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# SILENT → 拦截，记数（在长度检查之前，因为 [SILENT] 只有8字符）
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if "[SILENT]" in body:
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n_silent += 1
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continue
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if len(body) < 20:
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n_short += 1
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continue
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# 格式校验 — 记录改进点，不拦截
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ok_body, issues = validate_format(body)
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n_pushed += 1
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ok_sent = send(body)
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if not ok_sent:
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print(f" {d.name}: send failed", file=sys.stderr)
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if issues:
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print(f" {d.name}/{f.name}: 改进建议: {'; '.join(issues)}", file=sys.stderr)
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if new:
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save_journal(processed | new)
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# 保存当日汇总到文件（供16:30汇总用）
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today = datetime.now().strftime("%Y-%m-%d")
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stats = load_silent_stats()
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if stats.get("date") != today:
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stats = {"date": today, "silent": 0, "short": 0, "script": 0}
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stats["silent"] += n_silent
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stats["short"] += n_short
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stats["script"] += n_script
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save_silent_stats(stats)
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# 16:30~16:35 发送当日汇总（收盘后）
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now = datetime.now()
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hhmm = now.hour * 60 + now.minute
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if 990 <= hhmm <= 995: # 16:30~16:35
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send_silent_summary(stats)
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log = f"推送{n_pushed}份，静默拦截{n_silent}份，过短{n_short}份，跳过脚本{n_script}份"
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print(log, file=sys.stderr)
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return n_pushed
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if __name__ == "__main__":
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scan()
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