Files
AgentsMeeting/gateway/scripts/usage_collector_kimi.py
hmo 2598b286eb fix: kimi collector crash on CDP error + auto-start CDP proxy + dashboard renewal badge
- usage_collector_kimi: guard /targets dict response, auto-start CDP proxy if down
- usage_collector: add subscribed/renewal fields to HTTP+CDP collection
- dashboard: show UNSUBSCRIBED red badge / renewal-cancelled orange badge
2026-07-20 23:18:40 +08:00

353 lines
13 KiB
Python

#!/usr/bin/env python3
"""
usage_collector_kimi.py — Kimi 用量采集(CDP 浏览器自动化)
==========================================================
连接 Chrome CDP proxy (localhost:3456),打开 Kimi 控制台,
提取用量数据,保存到 usage_stats_kimi.json。
调用方式: python usage_collector_kimi.py
"""
import json, os, sys, time, urllib.request, urllib.error
from pathlib import Path
from datetime import datetime, timezone
CDP = "http://localhost:3456"
KIMI_CONSOLE = "https://www.kimi.com/membership/subscription?tab=quota"
SCRIPT_DIR = Path(__file__).resolve().parent
GATEWAY_DIR = SCRIPT_DIR.parent
TEMP_DIR = GATEWAY_DIR / "temp"
os.makedirs(str(TEMP_DIR), exist_ok=True)
OUTPUT_FILE = TEMP_DIR / "usage_stats_kimi.json"
KEY_ID = "key7"
PROVIDER = "kimi"
def cdp_get(path, timeout=10):
url = f"{CDP}{path}"
try:
with urllib.request.urlopen(url, timeout=timeout) as r:
return json.loads(r.read().decode())
except Exception as e:
return {"error": str(e)}
def cdp_post(path, body="", timeout=15):
url = f"{CDP}{path}"
try:
data = body.encode("utf-8") if isinstance(body, str) else body
req = urllib.request.Request(url, data=data, method="POST")
req.add_header("Content-Type", "text/plain")
with urllib.request.urlopen(req, timeout=timeout) as r:
return r.read().decode()
except Exception as e:
return f"ERROR: {e}"
def cdp_eval(target_id, js, timeout=10):
return cdp_post(f"/eval?target={target_id}", js, timeout)
def get_page_text(target_id):
"""Get document.body.innerText via CDP eval, unwrap JSON envelope."""
js = "document.body ? document.body.innerText : ''"
raw = cdp_eval(target_id, js)
try:
parsed = json.loads(raw) if isinstance(raw, str) else raw
return parsed.get("value", "") if isinstance(parsed, dict) else str(raw)
except (json.JSONDecodeError, AttributeError):
return str(raw)
def poll_page_ready(target_id, keywords=None, min_pct_count=2, timeout=20, interval=1):
"""Poll page text until keywords found or enough non-zero %s, or timeout.
Returns (text, attempts)."""
import re as _re
for attempt in range(int(timeout / interval)):
text = get_page_text(target_id)
# Check 1: keywords present
if keywords and all(k in text for k in keywords):
print(f"[kimi] Page ready — keywords found (attempt {attempt + 1})")
return text, attempt + 1
# Check 2: at least min_pct_count non-zero percentages
pcts = _re.findall(r'(\d+(?:\.\d+)?)%', text)
non_zero = sum(1 for p in pcts if float(p) > 0)
if non_zero >= min_pct_count:
print(f"[kimi] Page ready — {non_zero} non-zero %s (attempt {attempt + 1})")
return text, attempt + 1
time.sleep(interval)
text = get_page_text(target_id)
print(f"[kimi] Poll timeout ({timeout}s), using current state")
return text, int(timeout / interval)
def extract_metric(text, keyword, after_window=200):
"""Find percentage and date reset after a keyword in page text.
Returns (usage_percent, date_str, status, error_hint).
"""
import re as _re
idx = text.find(keyword)
if idx < 0:
return None, None, "unknown", f"keyword '{keyword}' not found"
after = text[idx:idx + after_window]
m_pct = _re.search(r'(\d+(?:\.\d+)?)%', after)
m_date = _re.search(r'(\d{4}-\d{2}-\d{2})|(\d{2}-\d{2}\s+\d{2}:\d{2})', after)
pct = float(m_pct.group(1)) if m_pct else None
date_str = (m_date.group(1) or m_date.group(2)) if m_date else None
if pct is None:
return None, None, "parse_error", f"no % found near '{keyword}'"
status = "ok"
if pct >= 95:
status = "rate-limited"
elif pct >= 80:
status = "warn"
return pct, date_str, status, None
def parse_date(dstr):
"""Parse date string to seconds remaining from now."""
if not dstr:
return 0
now = datetime.now(timezone.utc)
try:
if '-' in dstr and ':' not in dstr:
# YYYY-MM-DD
d = datetime.strptime(dstr, "%Y-%m-%d")
return max(0, int((d.replace(tzinfo=timezone.utc) - now).total_seconds()))
elif '-' in dstr and ':' in dstr:
# MM-DD HH:MM — assume current year
year = now.year
d = datetime.strptime(dstr, "%m-%d %H:%M").replace(year=year, tzinfo=timezone.utc)
if d < now:
d = d.replace(year=year + 1)
return max(0, int((d - now).total_seconds()))
except Exception:
pass
return 0
def try_collect(target_id):
"""One round of collection: poll → parse → return metrics dict.
Returns {monthly_pct, monthly_reset, rolling_pct, rolling_reset,
weekly_pct, weekly_reset, page_text} or raises.
"""
import re as _re
# Poll until page is ready
text, _attempts = poll_page_ready(target_id, keywords=["%"])
# Keyword-based extraction (order-independent, survives layout changes)
# Keywords extracted from actual Kimi page text (2026-07-19)
monthly_keywords = ["总使用量", "总用量", "月额度", "月"]
rolling_keywords = ["5 小时用量", "5小时用量", "5小时", "5h", "5 Hour"]
weekly_keywords = ["7 天用量", "7天用量", "7天", "7d", "7 Day"]
monthly_pct = monthly_date = monthly_status = monthly_err = None
rolling_pct = rolling_date = rolling_status = rolling_err = None
weekly_pct = weekly_date = weekly_status = weekly_err = None
for kw in monthly_keywords:
monthly_pct, monthly_date, monthly_status, monthly_err = extract_metric(text, kw)
if monthly_pct is not None:
break
for kw in rolling_keywords:
rolling_pct, rolling_date, rolling_status, rolling_err = extract_metric(text, kw)
if rolling_pct is not None:
break
for kw in weekly_keywords:
weekly_pct, weekly_date, weekly_status, weekly_err = extract_metric(text, kw)
if weekly_pct is not None:
break
# Fallback: if any metric still None, extract all percentages and assign positionally
none_count = sum(1 for x in [monthly_pct, rolling_pct, weekly_pct] if x is None)
if none_count > 0:
print(f"[kimi] Keyword matched {3 - none_count}/3 metrics, filling rest positionally")
pct_matches = list(_re.finditer(r'(\d+(?:\.\d+)?)%', text))
date_matches = list(_re.finditer(r'(\d{4}-\d{2}-\d{2})|(\d{2}-\d{2}\s+\d{2}:\d{2})', text))
entries = []
for m in pct_matches:
pct_val = float(m.group(1))
pct_pos = m.start()
best_date = None
for d in date_matches:
if d.start() > pct_pos:
best_date = d.group(1) or d.group(2)
break
entries.append((pct_val, best_date, pct_pos))
# Assign in order: monthly=first, rolling=second, weekly=third
metric_keys = ["monthly", "rolling", "weekly"]
current = {"monthly": monthly_pct, "rolling": rolling_pct, "weekly": weekly_pct}
for i, key in enumerate(metric_keys):
if current[key] is None and i < len(entries):
if key == "monthly":
monthly_pct = entries[i][0]
monthly_date = entries[i][1]
monthly_status = "ok"
elif key == "rolling":
rolling_pct = entries[i][0]
rolling_date = entries[i][1]
rolling_status = "ok"
elif key == "weekly":
weekly_pct = entries[i][0]
weekly_date = entries[i][1]
weekly_status = "ok"
# Fill None → 0 for output
monthly_pct = monthly_pct if monthly_pct is not None else 0
rolling_pct = rolling_pct if rolling_pct is not None else 0
weekly_pct = weekly_pct if weekly_pct is not None else 0
return {
"monthly_pct": monthly_pct,
"monthly_reset": parse_date(monthly_date),
"monthly_status": monthly_status if monthly_status else "ok",
"rolling_pct": rolling_pct,
"rolling_reset": parse_date(rolling_date),
"rolling_status": rolling_status if rolling_status else "ok",
"weekly_pct": weekly_pct,
"weekly_reset": parse_date(weekly_date),
"weekly_status": weekly_status if weekly_status else "ok",
"page_text": text,
"errors": [e for e in [monthly_err, rolling_err, weekly_err] if e],
}
def ensure_cdp_proxy():
"""Try to start CDP proxy if it's not running."""
import subprocess
result = cdp_get("/targets", timeout=3)
if isinstance(result, dict) and "error" not in result:
return True
if isinstance(result, list):
return True
# CDP proxy not running, try to start it
print("[kimi] CDP proxy not running, attempting to start...")
ps_script = r"D:\F\NewI\opencode\daily-workspace\.opencode\scripts\start-cdp-proxy.ps1"
try:
proc = subprocess.run(
["powershell", "-ExecutionPolicy", "Bypass", "-File", ps_script],
capture_output=True, text=True, timeout=20
)
print(f"[kimi] CDP start: {proc.stdout.strip()}")
if proc.returncode == 0:
# Verify
result = cdp_get("/targets", timeout=5)
if isinstance(result, list):
print("[kimi] CDP proxy started OK")
return True
except Exception as e:
print(f"[kimi] CDP auto-start failed: {e}")
print("[kimi] ERROR: CDP proxy unavailable and auto-start failed")
return False
def main():
print("[kimi] Starting collection...")
if not ensure_cdp_proxy():
return
# 1. Find tab with the membership subscription page
targets = cdp_get("/targets") or []
# Guard: CDP proxy may return {"error": ...} dict instead of list
if isinstance(targets, dict):
print(f"[kimi] ERROR: CDP proxy returned error: {targets.get('error', 'unknown')}")
print("[kimi] Is CDP proxy running on localhost:3456? Is Chrome remote debugging enabled?")
return
kimi_tab = None
for t in targets:
url = t.get("url", "")
if "membership/subscription" in url or "kimi.com/membership" in url:
kimi_tab = t
break
if kimi_tab:
target_id = kimi_tab.get("targetId") or kimi_tab.get("id")
print(f"[kimi] Found quota tab: {target_id}")
# Always reload for fresh data
cdp_get(f"/navigate?target={target_id}&url={KIMI_CONSOLE}")
else:
print(f"[kimi] No quota tab found, opening new tab...")
result = cdp_get(f"/new?url={KIMI_CONSOLE}")
if isinstance(result, dict):
target_id = result.get("targetId") or result.get("id", "")
else:
target_id = str(result)
print(f"[kimi] New tab: {target_id}")
if not target_id:
print("[kimi] ERROR: no target ID")
return
# 2. Collect with retry
metrics = None
for retry in range(2):
print(f"[kimi] Collection round {retry + 1}...")
metrics = try_collect(target_id)
print(f"[kimi] Monthly: {metrics['monthly_pct']}% | "
f"5h: {metrics['rolling_pct']}% | 7d: {metrics['weekly_pct']}%")
# Success criteria: at least one metric has non-zero value
if metrics["monthly_pct"] > 0 or metrics["rolling_pct"] > 0 or metrics["weekly_pct"] > 0:
print("[kimi] Non-zero data collected")
break
if retry == 0:
print("[kimi] All zero, reloading and retrying...")
cdp_get(f"/navigate?target={target_id}&url={KIMI_CONSOLE}")
else:
if metrics["errors"]:
print(f"[kimi] Warnings: {'; '.join(metrics['errors'])}")
# 3. Take a screenshot for debugging
try:
cdp_get(f"/screenshot?target={target_id}&file={TEMP_DIR}/kimi_console.png")
print("[kimi] Screenshot saved")
except:
pass
# 4. Build output
output = {
"ok": True,
"last_refresh_iso": datetime.now(timezone.utc).isoformat(timespec="seconds"),
"provider": PROVIDER,
"accounts": [{
"key_id": KEY_ID,
"label": "key7 (Kimi)",
"provider": PROVIDER,
"workspace_id": "kimi",
"rolling": {
"usage_percent": metrics["rolling_pct"],
"reset_in_sec": metrics["rolling_reset"],
"status": metrics["rolling_status"],
},
"weekly": {
"usage_percent": metrics["weekly_pct"],
"reset_in_sec": metrics["weekly_reset"],
"status": metrics["weekly_status"],
},
"monthly": {
"usage_percent": metrics["monthly_pct"],
"reset_in_sec": metrics["monthly_reset"],
"status": metrics["monthly_status"],
},
"session_expired": False,
"last_update_iso": datetime.now(timezone.utc).isoformat(timespec="seconds"),
"error": None,
}],
}
with open(str(OUTPUT_FILE), "w", encoding="utf-8") as f:
json.dump(output, f, ensure_ascii=False, indent=2)
print(f"[kimi] Output saved to {OUTPUT_FILE}")
if __name__ == "__main__":
main()