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
This commit is contained in:
hmo
2026-07-20 23:18:40 +08:00
parent dc3b3d1868
commit 2598b286eb
3 changed files with 287 additions and 100 deletions
+7 -1
View File
@@ -440,7 +440,13 @@ document.getElementById('rdp-status-txt').textContent=fOn?'Connected':e4.rdp_ena
}else if(a.error){
html+='<span style="font-size:11px;color:var(--dim)" title="'+esc(a.error)+'">⚠</span>';
}else{
html+='<span style="font-size:11px;color:var(--dim)">'+maxPct+'% max</span>';
var statusTags='';
if(a.subscribed===false){
statusTags+='<span style="font-size:11px;color:#e53935;background:rgba(229,57,53,.1);padding:2px 6px;border-radius:4px;margin-right:4px">UNSUBSCRIBED</span>';
}else if(a.renewal==='cancelled'){
statusTags+='<span style="font-size:11px;color:#fb8c00;background:rgba(251,140,0,.1);padding:2px 6px;border-radius:4px;margin-right:4px" title="续订已取消·当前周期仍有效">⏳ 续订取消</span>';
}
html+=statusTags+'<span style="font-size:11px;color:var(--dim)">'+maxPct+'% max</span>';
}
html+='</div>';
if(a.session_expired||a.error){
+43 -1
View File
@@ -292,6 +292,10 @@ def collect_via_http(key_id, account_cfg):
'last_update_iso': datetime.now(timezone.utc).isoformat(timespec='seconds'),
}
# Check subscription status from page text
sub_active = check_subscription_status(html)
renewal_status = account_cfg.get('renewal', 'active')
result = {
'key_id': key_id, 'label': account_cfg.get('label', key_id),
'workspace_id': parsed['workspace_id'],
@@ -299,8 +303,15 @@ def collect_via_http(key_id, account_cfg):
'monthly': parsed['monthly'], 'session_expired': False,
'last_update_iso': datetime.now(timezone.utc).isoformat(timespec='seconds'),
'error': None,
'subscribed': sub_active,
'renewal': renewal_status,
}
if not sub_active:
log.warning(f'[HTTP] {key_id} subscription NO LONGER ACTIVE — needs cleanup')
elif renewal_status == 'cancelled':
log.info(f'[HTTP] {key_id} renewal cancelled, but subscription still active')
log.info(f'[HTTP] SUCCESS {key_id}: '
f'rolling={result["rolling"]["usage_percent"]}% '
f'weekly={result["weekly"]["usage_percent"]}% '
@@ -497,6 +508,15 @@ def collect_via_cdp(accounts_cfg):
key_id = acc.get('key_id', ws_id)
break
# Check subscription status (CDP fetches via fetch(), not document.body, so check html_text)
sub_active = check_subscription_status(html_text)
renewal_status = 'active'
if accounts_cfg:
for acc in accounts_cfg.get('accounts', []):
if acc.get('workspace_id') == ws_id:
renewal_status = acc.get('renewal', 'active')
break
result = {
'key_id': key_id,
'label': label,
@@ -507,8 +527,15 @@ def collect_via_cdp(accounts_cfg):
'session_expired': False,
'last_update_iso': datetime.now(timezone.utc).isoformat(timespec='seconds'),
'error': None,
'subscribed': sub_active,
'renewal': renewal_status,
}
if not sub_active:
log.warning(f'[CDP] {key_id} subscription NO LONGER ACTIVE — needs cleanup')
elif renewal_status == 'cancelled':
log.info(f'[CDP] {key_id} renewal cancelled, but subscription still active')
log.info(f'[CDP] SUCCESS {key_id}: '
f'rolling={result["rolling"]["usage_percent"]}% '
f'weekly={result["weekly"]["usage_percent"]}% '
@@ -560,6 +587,22 @@ def parse_usage_from_html(html_text, workspace_id_hint):
}
def check_subscription_status(html_text):
"""
Check whether the SSR HTML page indicates an active subscription.
Looks for 'subscribed' text (case-insensitive) in the HTML.
Returns True if the user is still subscribed, False otherwise.
"""
# Heuristic: page is loaded (no auth redirect) + contains "subscribed" keyword
if not html_text:
return False
lower = html_text.lower()
# Check for positive signal
subscribed = 'subscribed' in lower
return subscribed
# ═══════════════════════════════════════════════════════════════════════
# Cache merge logic
# ═══════════════════════════════════════════════════════════════════════
@@ -617,7 +660,6 @@ def collect_all(cdp_only=False):
# Skip non-OCG providers (Kimi etc.)
if provider != 'opencode_go':
continue
result = collect_via_http(key_id, acc_cfg)
merge_result_into_cache(cache, key_id, result)
+237 -98
View File
@@ -49,11 +49,218 @@ 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", ""]
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", "")
@@ -64,15 +271,8 @@ def main():
if kimi_tab:
target_id = kimi_tab.get("targetId") or kimi_tab.get("id")
print(f"[kimi] Found quota tab: {target_id}")
# Always reload page for fresh data
cur_url = kimi_tab.get("url", "")
if "tab=quota" not in cur_url:
print(f"[kimi] Navigating to quota tab...")
cdp_get(f"/navigate?target={target_id}&url={KIMI_CONSOLE}")
else:
print(f"[kimi] Reloading page for fresh data...")
cdp_get(f"/navigate?target={target_id}&url={KIMI_CONSOLE}")
time.sleep(5)
# 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}")
@@ -81,99 +281,38 @@ def main():
else:
target_id = str(result)
print(f"[kimi] New tab: {target_id}")
time.sleep(5)
if not target_id:
print("[kimi] ERROR: no target ID")
return
# 2. Wait for page load + extract data
print("[kimi] Extracting usage data...")
# 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']}%")
# Simple extraction: get all text, parse with Python
js_get_text = "document.body ? document.body.innerText : ''"
raw_text = cdp_eval(target_id, js_get_text)
# 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'])}")
# CDP eval returns JSON: {"value":"text content"} — unwrap it
try:
parsed = json.loads(raw_text) if isinstance(raw_text, str) else raw_text
text = parsed.get("value", "") if isinstance(parsed, dict) else str(raw_text)
except (json.JSONDecodeError, AttributeError):
text = str(raw_text)
# Parse the text in Python
import re
# Membership page has three metrics:
# 总用量 (monthly): N%, reset YYYY-MM-DD
# 5小时用量 (5h): Code N%, reset MM-DD HH:MM
# 7天用量 (7d): Code N%, reset MM-DD HH:MM
# The percentages appear in order: total, 5h, 7d
# Extract all percentage values with context
pct_matches = list(re.finditer(r'(\d+(?:\.\d+)?)%', text))
# Extract dates in format MM-DD HH:MM or YYYY-MM-DD
date_matches = list(re.finditer(r'(\d{4}-\d{2}-\d{2})|(\d{2}-\d{2}\s+\d{2}:\d{2})', text))
# Build list of (pct, date) pairs based on position in text
entries = []
for m in pct_matches:
pct_val = float(m.group(1))
pct_pos = m.start()
# Find nearest date after this percentage
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 by order: first = total (monthly), second = 5h, third = 7d
def parse_date(dstr):
"""Parse date string to seconds remaining."""
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 get_status(pct):
if pct >= 95: return "rate-limited"
if pct >= 80: return "warn"
return "ok"
# Build metrics
total_pct = entries[0][0] if len(entries) > 0 else 0
total_reset = parse_date(entries[0][1]) if len(entries) > 0 else 0
five_hr_pct = entries[1][0] if len(entries) > 1 else 0
five_hr_reset = parse_date(entries[1][1]) if len(entries) > 1 else 0
seven_d_pct = entries[2][0] if len(entries) > 2 else 0
seven_d_reset = parse_date(entries[2][1]) if len(entries) > 2 else 0
print(f"[kimi] Monthly: {total_pct}% | 5h: {five_hr_pct}% | 7d: {seven_d_pct}%")
# Also take a screenshot for debugging
# 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
# Build output with correctly mapped metrics
# rolling → 5小时用量, weekly → 7天用量, monthly → 总用量
# 4. Build output
output = {
"ok": True,
"last_refresh_iso": datetime.now(timezone.utc).isoformat(timespec="seconds"),
@@ -184,19 +323,19 @@ def main():
"provider": PROVIDER,
"workspace_id": "kimi",
"rolling": {
"usage_percent": five_hr_pct,
"reset_in_sec": five_hr_reset,
"status": get_status(five_hr_pct),
"usage_percent": metrics["rolling_pct"],
"reset_in_sec": metrics["rolling_reset"],
"status": metrics["rolling_status"],
},
"weekly": {
"usage_percent": seven_d_pct,
"reset_in_sec": seven_d_reset,
"status": get_status(seven_d_pct),
"usage_percent": metrics["weekly_pct"],
"reset_in_sec": metrics["weekly_reset"],
"status": metrics["weekly_status"],
},
"monthly": {
"usage_percent": total_pct,
"reset_in_sec": total_reset,
"status": get_status(total_pct),
"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"),