feat(llmage): 备份改用INSERT SELECT+DELETE单SQL语句 + 新增失败记录重试功能

dat/qwen3.7-max.txt

@@ -0,0 +1,53 @@
+    已生成完整的 qwen3.7-max 配置SQL。以下是配置方案：
+    
+    模型摘要
+    - 模型名称: 千问3.7-Max
+    - API model: qwen3.7-max (严格按API文档填写)
+    - 分类: text2text (文生文)
+    - 供应商: 阿里百炼 (ali-qwen)
+    - 接口: OpenAI兼容 /chat/completions，同步流式
+    
+    复用vs新建
+    - upapp: 复用 ali-qwen (阿里百炼)
+    - upappkey: 复用 gCMl-BnrTrfoqWAEPPoH8 (API Key已配置)
+    - uapi: 复用 t2t (BY2cA4RD_axNxTG4m9Coa)
+    - uapiio: 复用 Is8l4TGkcZcqFSjbbeIK2 (文本会话)
+    - llm: 新建
+    - llm_api_map: 新建
+    - pricing_program: 新建
+    - pricing_program_timing: 新建
+    
+    生成的SQL (4条)
+    
+    sql
+    -- 1. llm表
+    INSERT INTO llm VALUES ('Jt26VKlUFsJxABuVLauBc','千问3.7-Max','qwen3.7-max','通义千问3.7系列旗舰模型，相较3.6版本在推理能力、代码能力、多模态理解等方面全面升级。适用于复杂任务处理、智能体开发、代码生成等高级应用场景。','text2text','qwen','ali-qwen','t2t','6fadgewjraOyvxC_EkHou','0','2026-05-23','9999-12-31','',NULL,10.00);
+    
+    -- 2. llm_api_map表
+    INSERT INTO llm_api_map VALUES ('rFS0Ag-epBUxE5LCF6glW','Jt26VKlUFsJxABuVLauBc','text2text','t2t',NULL,NULL,'0B-JNSUEelsY5TQ_Sawa7','1');
+    
+    -- 3. pricing_program表
+    INSERT INTO pricing_program VALUES ('0B-JNSUEelsY5TQ_Sawa7','qwen3.7-max定价','fields:\r\n  formula:\r\n    label: 计算公式\r\n    type: str\r\n  model:\r\n    label: 模型\r\n    type: str\r\n  prompt_tokens:\r\n    label: 输入词元数\r\n    type: int\r\n    value_mode: between\r\nformula: null\r\npricings:\r\n- formula: 2.5  prompt_tokens / 1000000 + completion_tokens  10 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: -0.1 ~= 32000\r\n- formula: 4  prompt_tokens / 1000000 + completion_tokens  16 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: 32000 ~= 128000\r\n- formula: 7  prompt_tokens / 1000000 + completion_tokens  28 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: 128000 ~= 256000\r\n- formula: 10  prompt_tokens / 1000000 + completion_tokens  40 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: 256000 ~= 1000000','2026-05-23','9999-12-31');
+    
+    -- 4. pricing_program_timing表
+    INSERT INTO pricing_program_timing VALUES ('C-IIEG_9_O9beN8S2vdUI','0B-JNSUEelsY5TQ_Sawa7','qwen3.7-max计费','fields:\r\n  formula:\r\n    label: 计算公式\r\n    type: str\r\n  model:\r\n    label: 模型\r\n    type: str\r\n  prompt_tokens:\r\n    label: 输入词元数\r\n    type: int\r\n    value_mode: between\r\nformula: null\r\npricings:\r\n- formula: 2.5  prompt_tokens / 1000000 + completion_tokens  10 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: -0.1 ~= 32000\r\n- formula: 4  prompt_tokens / 1000000 + completion_tokens  16 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: 32000 ~= 128000\r\n- formula: 7  prompt_tokens / 1000000 + completion_tokens  28 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: 128000 ~= 256000\r\n- formula: 10  prompt_tokens / 1000000 + completion_tokens  40 /1000000\r\n  model: qwen3.7-max\r\n  prompt_tokens: 256000 ~= 1000000','2026-05-23','9999-12-31');
+    
+    
+    验证查询
+    sql
+    SELECT id, name, model, upappid, apiname FROM llm WHERE model = 'qwen3.7-max';
+    SELECT id, llmid, llmcatelogid, apiname, ppid FROM llm_api_map WHERE llmid = 'Jt26VKlUFsJxABuVLauBc';
+    SELECT id, name FROM pricing_program WHERE id = '0B-JNSUEelsY5TQ_Sawa7';
+    
+    
+    ppid三处一致
+    - pricing_program.id = 0B-JNSUEelsY5TQ_Sawa7
+    - pricing_program_timing.ppid = 0B-JNSUEelsY5TQ_Sawa7
+    - llm_api_map.ppid = 0B-JNSUEelsY5TQ_Sawa7
+    
+    注意事项
+    1. 定价参考qwen3.6-plus的阶梯式计费模式，具体价格需根据百炼官方定价调整
+    2. qwen3.7-max使用已有的t2t uapi，OpenAI兼容接口
+    3. 如果qwen3.7-max有特殊的推理模式（如思考/非思考切换），可能需要额外的配置
+    4. 之前提到的 startReasoning is not defined 前端报错问题需要单独排查，可能与harnessed_reasoning的bricks前端代码有关
+

llmage/accounting.py

@@ -240,27 +240,28 @@ async def llm_accoung_failed(luid, reason=None):
 
 
 async def backup_accounted_llmusage(cutoff_date):
-	"""Backup accounted records with use_date < cutoff_date to history table."""
+	"""Backup accounted records with use_date < cutoff_date to history table using single SQL statements."""
 	env = ServerEnv()
 	ts = env.timestampstr()
-	batched = 0
-	recs = []
 	async with get_sor_context(env, 'llmage') as sor:
-		sql = """select * from llmusage 
+		# Step 1: INSERT INTO history SELECT from main table
-where accounting_status='accounted' 
+		insert_sql = """INSERT INTO llmusage_history 
-	and use_date < ${cutoff_date}$"""
+(id, llmid, use_date, use_time, userid, usages, ioinfo, transno, responsed_seconds, finish_seconds, status, taskid, amount, cost, userorgid, ownerid, accounting_status, backup_time)
-		recs = await sor.sqlExe(sql, {'cutoff_date': cutoff_date})
+SELECT id, llmid, use_date, use_time, userid, usages, ioinfo, transno, responsed_seconds, finish_seconds, status, taskid, amount, cost, userorgid, ownerid, accounting_status, ${ts}$
-	if not recs:
+FROM llmusage
-		debug(f'backup_accounted_llmusage: no records to backup for use_date < {cutoff_date}')
+WHERE accounting_status='accounted' AND use_date < ${cutoff_date}$"""
-		return 0
+		result = await sor.execute(insert_sql, {'cutoff_date': cutoff_date, 'ts': ts})
-	debug(f'backup_accounted_llmusage: {cutoff_date} {len(recs)} records to backup')
+		inserted = result if isinstance(result, int) else 0
-	for r in recs:
+		debug(f'backup_accounted_llmusage: {inserted} records inserted to history')
-		async with get_sor_context(env, 'llmage') as sor:
+		
-			await sor.C('llmusage_history', r.copy())
+		if inserted > 0:
-			await sor.D('llmusage', {'id': r.id})
+			# Step 2: DELETE from main table
-			batched += 1
+			delete_sql = """DELETE FROM llmusage
-	debug(f'backup_accounted_llmusage: backed up {batched} records for use_date < {cutoff_date}')
+WHERE accounting_status='accounted' AND use_date < ${cutoff_date}$"""
-	return batched
+			await sor.execute(delete_sql, {'cutoff_date': cutoff_date})
+			debug(f'backup_accounted_llmusage: {inserted} records deleted from main table')
+	
+	return inserted
 
 
 async def get_failed_accounting_records(filters=None, page=1, page_size=50):

wwwroot/api/retry_accounting.dspy

@@ -0,0 +1,36 @@
+#!/usr/bin/env python3
+import json
+from datetime import datetime
+
+result = {'success': False, 'message': ''}
+
+try:
+    dbname = get_module_dbname('llmage')
+    luid = params_kw.get('id') or params_kw.get('llmusageid')
+    if not luid:
+        result['message'] = '缺少llmusageid参数'
+    else:
+        async with DBPools().sqlorContext(dbname) as sor:
+            # 1. 重置 llmusage 记账状态为 created，让后台循环重新处理
+            await sor.U('llmusage', {
+                'id': luid,
+                'accounting_status': 'created'
+            })
+            
+            # 2. 更新失败记录：标记已处理，增加重试次数
+            now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+            await sor.execute("""
+                UPDATE llmusage_accounting_failed 
+                SET handled = '1', 
+                    retry_count = IFNULL(retry_count, 0) + 1, 
+                    handled_time = ${now}$,
+                    handled_note = CONCAT(IFNULL(handled_note, ''), '[', ${now}$, '] 触发重试; ')
+                WHERE llmusageid = ${luid}$
+            """, {'luid': luid, 'now': now})
+            
+            result['success'] = True
+            result['message'] = '已重置为待记账状态，后台循环将重新处理'
+except Exception as e:
+    result['message'] = str(e)
+
+return json.dumps(result, ensure_ascii=False, default=str)

wwwroot/failed_accounting.ui

@@ -80,6 +80,30 @@
                             }]
                         }
                     ]
+                },
+                {
+                    "widgettype": "VBox",
+                    "options": {"spacing": 4},
+                    "subwidgets": [
+                        {"widgettype": "Text", "options": {"text": "", "fontSize": "12px"}},
+                        {
+                            "widgettype": "Button",
+                            "id": "retry_btn",
+                            "options": {
+                                "label": "重试",
+                                "bgcolor": "#4caf50",
+                                "color": "#ffffff",
+                                "width": "80px"
+                            },
+                            "binds": [{
+                                "wid": "self",
+                                "event": "click",
+                                "actiontype": "script",
+                                "target": "self",
+                                "script": "var dv = this.root.getElementById('failed_table'); var row = dv.selected_row || (dv.selected_rows && dv.selected_rows[0]); if(!row || !row.llmusageid) { alert('请先选中一条记录'); return; } var url = bricks.build_url ? bricks.build_url('/llmage/api/retry_accounting.dspy') : '/llmage/api/retry_accounting.dspy'; fetch(url + '?id=' + row.llmusageid).then(function(r){return r.json();}).then(function(d){ if(d.success) { alert(d.message); dv.load({}); } else { alert('失败: ' + d.message); } }).catch(function(e){ alert('请求异常: ' + e); });"
+                            }]
+                        }
+                    ]
                 }
             ]
         },