feat(fam-edge): 云端模型调用统计 - 新增 model_calls 表(provider/model/时间/耗时/成功/失败原因),gemini/nvidia 每次请求经 model_call_hook 记录并随 sync delta 下发;gemini 支持模型级 model_timeouts(lite 实测22.6s×4≈90s)

This commit is contained in:
ericwyuan
2026-08-21 12:21:49 +08:00
parent 1b0f62e5e9
commit b87b38b140
6 changed files with 90 additions and 3 deletions

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@@ -55,6 +55,10 @@ models:
- "gemini-flash-lite-latest"
api_key: "${GEMINI_API_KEY}"
timeout: 600
# 模型级独立超时(最终值,不参与编排层 ×2 放大)
# gemini-flash-lite 实测耗时 ~22.6s(真实 370MB 监控视频),按用户要求 ×4 ≈ 90s
model_timeouts:
"gemini-flash-lite-latest": 90
circuit_breaker:
enabled: true
threshold: 5

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@@ -33,6 +33,21 @@ class BaseModelAdapter(ABC):
self.config = config
# 角色: vision=视觉分析, text=智能问答兜底(本地模型); 默认 vision
self.role = config.get('role', 'vision')
# 模型调用统计回调(由编排层注入):
# hook(provider, model, started_at, duration_sec, success, error)
self.model_call_hook = None
def _emit_model_call(self, model: str, started_at: str,
duration_sec: float, success: bool,
error: str = ''):
"""上报一次模型调用统计(供前端展示成功/失败/耗时/失败原因)"""
hook = self.model_call_hook
if hook is None:
return
try:
hook(self.provider_name, model, started_at, duration_sec, success, error)
except Exception:
pass # 统计失败不影响主流程
def get_role(self) -> str:
"""返回适配器角色: 'vision''text'"""

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@@ -13,6 +13,7 @@ import os
import time
import json
import requests
from datetime import datetime
from typing import Dict, List, Optional
from .base_adapter import BaseModelAdapter
@@ -33,6 +34,10 @@ class GeminiAdapter(BaseModelAdapter):
m for m in config.get('fallback_models', []) if m and m != self.model_name]
self.api_key = self._resolve_key(config.get('api_key', ''))
self.timeout = config.get('timeout', 600)
# 模型级独立超时(最终值,不参与编排层 ×N 放大): {model_name: seconds}
# 例: {"gemini-flash-lite-latest": 90}(按实测耗时 ×4 配置)
self.model_timeouts = {
str(k): int(v) for k, v in (config.get('model_timeouts') or {}).items()}
cb_cfg = config.get('circuit_breaker', {})
self._cb = CircuitBreaker(
threshold=cb_cfg.get('threshold', 3),
@@ -224,9 +229,13 @@ class GeminiAdapter(BaseModelAdapter):
{"text": prompt},
]
for model in self.model_chain:
# 模型级独立超时优先;未单独配置的用适配器默认(可能已被编排层 ×N 放大)
model_timeout = self.model_timeouts.get(model, self.timeout)
for attempt in range(2):
if attempt == 0:
logger.info(f"Gemini [{model}] 本轮请求超时 {self.timeout}s")
logger.info(f"Gemini [{model}] 本轮请求超时 {model_timeout}s")
started = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
t0 = time.time()
try:
resp = requests.post(
f"{self._base_url}/models/{model}:generateContent?key={self.api_key}",
@@ -234,14 +243,20 @@ class GeminiAdapter(BaseModelAdapter):
"generationConfig": {
"temperature": temperature,
"maxOutputTokens": max_tokens}},
timeout=self.timeout
timeout=model_timeout
)
except requests.Timeout:
logger.warning(f"Gemini [{model}] 视频请求超时 ({self.timeout}s)")
duration = time.time() - t0
self._emit_model_call(model, started, duration, False,
f"timeout({model_timeout}s)")
logger.warning(f"Gemini [{model}] 视频请求超时 ({model_timeout}s)")
break
except Exception as e:
duration = time.time() - t0
self._emit_model_call(model, started, duration, False, str(e))
logger.error(f"Gemini [{model}] 视频请求异常: {e}")
break
duration = time.time() - t0
if resp.status_code == 200:
cands = resp.json().get('candidates', [])
@@ -250,21 +265,28 @@ class GeminiAdapter(BaseModelAdapter):
for p in (cands[0].get('content', {}) if cands else {}).get('parts', [])
).strip() if cands else ''
if text:
self._emit_model_call(model, started, duration, True)
if model != self.model_name:
logger.info(f"Gemini 主模型不可用,由 fallback [{model}] 出结果")
return text
self._emit_model_call(model, started, duration, False, "empty_text")
logger.warning(f"Gemini [{model}] 返回空文本")
continue
detail = resp.text[:150].replace('\n', ' ')
if resp.status_code == 429:
self._emit_model_call(model, started, duration, False, "429_quota")
logger.warning(f"Gemini [{model}] 429 配额耗尽,切换下一模型")
break
if resp.status_code == 503:
if attempt == 0:
self._emit_model_call(model, started, duration, False, "503_overload_retry")
logger.warning(f"Gemini [{model}] 503 过载3s 后重试")
time.sleep(3)
continue
self._emit_model_call(model, started, duration, False, "503_overload")
break
self._emit_model_call(model, started, duration, False,
f"http_{resp.status_code}")
logger.warning(f"Gemini [{model}] HTTP {resp.status_code}: {detail}")
break
return None

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@@ -11,7 +11,9 @@ SDK: openai (NIM 兼容 OpenAI API 规范)
import os
import json
import re
import time
import requests
from datetime import datetime
from typing import Dict, List, Optional
from .base_adapter import BaseModelAdapter
@@ -144,6 +146,8 @@ class NvidiaVisionAdapter(BaseModelAdapter):
return None
prompt = self._build_video_prompt(known_members_context, event_start_time)
started = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
t0 = time.time()
try:
resp = self._client.chat.completions.create(
model=self.model_name,
@@ -158,16 +162,20 @@ class NvidiaVisionAdapter(BaseModelAdapter):
extra_body={"media_io_kwargs": {"video": {"num_frames": 128}}},
timeout=self.timeout
)
duration = time.time() - t0
content = resp.choices[0].message.content
if not content:
self._emit_model_call(self.model_name, started, duration, False, "empty_content")
logger.warning("NVIDIA 视频分析返回空 content")
self._cb.record_failure()
return None
data = self._parse_json(content)
if not data or 'events' not in data:
self._emit_model_call(self.model_name, started, duration, False, "json_parse_failed")
logger.warning(f"NVIDIA 视频 JSON 解析失败: {content[:150]}")
self._cb.record_failure()
return None
self._emit_model_call(self.model_name, started, duration, True)
self._cb.record_success()
logger.info(f"NVIDIA 整视频分析完成events={len(data.get('events', []))}")
return {
@@ -177,6 +185,8 @@ class NvidiaVisionAdapter(BaseModelAdapter):
"compute_provider": "nvidia",
}
except Exception as e:
duration = time.time() - t0
self._emit_model_call(self.model_name, started, duration, False, str(e))
self._cb.record_failure()
logger.warning(f"NVIDIA 视频分析异常: {e}")
return None

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@@ -81,8 +81,21 @@ class OracleDB:
key TEXT PRIMARY KEY,
value TEXT
);
CREATE TABLE IF NOT EXISTS model_calls (
id INTEGER PRIMARY KEY AUTOINCREMENT,
provider TEXT,
model TEXT,
video_id INTEGER,
filename TEXT,
started_at TEXT,
duration_sec REAL,
success INTEGER DEFAULT 0,
error TEXT,
created_at TEXT
);
CREATE INDEX IF NOT EXISTS idx_videos_updated ON videos(updated_at);
CREATE INDEX IF NOT EXISTS idx_events_video ON events(video_id);
CREATE INDEX IF NOT EXISTS idx_model_calls_created ON model_calls(created_at);
""")
# 兼容旧库:补 retry_count 列(生产-消费队列重试上限用)
cols = [r[1] for r in c.execute("PRAGMA table_info(videos)").fetchall()]
@@ -101,6 +114,20 @@ class OracleDB:
cur = self._conn.execute("SELECT * FROM videos WHERE id=?", (video_id,))
return cur.fetchone()
def record_model_call(self, provider: str, model: str,
video_id, filename,
started_at: str, duration_sec: float,
success: bool, error: str = ''):
"""记录一次云端模型调用(前端统计成功/失败/耗时/失败原因)"""
now = _now_iso()
self._conn.execute(
"INSERT INTO model_calls (provider, model, video_id, filename, "
"started_at, duration_sec, success, error, created_at) "
"VALUES (?,?,?,?,?,?,?,?,?)",
(provider, model, video_id, filename, started_at,
duration_sec, 1 if success else 0, error or '', now))
self._conn.commit()
def ensure_video(self, filename: str, local_path: str,
camera_name: str = '', event_start_time: str = '',
duration_sec: float = 0.0, drive_file_id: str = '') -> int:
@@ -220,6 +247,10 @@ class OracleDB:
people = self._conn.execute(
"SELECT * FROM people WHERE updated_at > ? ORDER BY id ASC", (since_iso,)
).fetchall()
# 模型调用统计created_at >= since 配合 NAS 端幂等 upsert 防漏同秒记录)
model_calls = self._conn.execute(
"SELECT * FROM model_calls WHERE created_at >= ? ORDER BY id ASC",
(since_iso,)).fetchall()
def _ser(row):
d = dict(row)
@@ -229,6 +260,7 @@ class OracleDB:
"videos": [_ser(v) for v in videos],
"events": [_ser(e) for e in events],
"people": [_ser(p) for p in people],
"model_calls": [_ser(m) for m in model_calls],
"server_time": _now_iso(),
}

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@@ -93,6 +93,10 @@ class VideoProcessor:
last_err = "no_vision_adapter"
for adapter in self._ordered_vision_adapters():
# 模型调用统计 hook带当前 video_id/filename前端展示用
adapter.model_call_hook = (
lambda p, m, s, d, ok, e, _vid=video_id, _fn=filename:
self.db.record_model_call(p, m, _vid, _fn, s, d, ok, e))
# 按模型原配置超时 × multiplier默认 1x队列消费默认 2x
orig_timeout = adapter.get_timeout()
if timeout_multiplier != 1.0: