fix: 修复app.py中的缩进错误和logger配置问题
This commit is contained in:
赵杰 Jie Zhao （雄狮汽车科技）
131
src/web/app.py
131
src/web/app.py
@@ -10,6 +10,9 @@ import os
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import json
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import json
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import logging
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import logging
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import pandas as pd
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import pandas as pd
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# 配置日志
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logger = logging.getLogger(__name__)
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from datetime import datetime, timedelta
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from datetime import datetime, timedelta
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from openpyxl import Workbook
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from openpyxl import Workbook
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from openpyxl.styles import Font
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from openpyxl.styles import Font
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@@ -631,9 +634,9 @@ def get_workorders():
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priority_filter = request.args.get('priority')
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priority_filter = request.args.get('priority')
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with db_manager.get_session() as session:
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with db_manager.get_session() as session:
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q = session.query(WorkOrder)
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q = session.query(WorkOrder)
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if status_filter and status_filter != 'all':
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if status_filter and status_filter != 'all':
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q = q.filter(WorkOrder.status == status_filter)
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q = q.filter(WorkOrder.status == status_filter)
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if priority_filter and priority_filter != 'all':
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if priority_filter and priority_filter != 'all':
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q = q.filter(WorkOrder.priority == priority_filter)
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q = q.filter(WorkOrder.priority == priority_filter)
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q = q.order_by(WorkOrder.created_at.desc())
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q = q.order_by(WorkOrder.created_at.desc())
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rows = q.all()
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rows = q.all()
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@@ -877,80 +880,80 @@ def generate_db_analytics(days: int, dimension: str) -> dict:
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} for d in day_keys]
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} for d in day_keys]
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# 工单统计
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# 工单统计
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total = len(workorders)
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total = len(workorders)
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status_counts = Counter([wo.status for wo in workorders])
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status_counts = Counter([wo.status for wo in workorders])
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category_counts = Counter([wo.category for wo in workorders])
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category_counts = Counter([wo.category for wo in workorders])
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priority_counts = Counter([wo.priority for wo in workorders])
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priority_counts = Counter([wo.priority for wo in workorders])
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resolved_count = status_counts.get('resolved', 0)
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resolved_count = status_counts.get('resolved', 0)
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workorders_stats = {
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workorders_stats = {
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'total': total,
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'total': total,
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'open': status_counts.get('open', 0),
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'open': status_counts.get('open', 0),
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'in_progress': status_counts.get('in_progress', 0),
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'in_progress': status_counts.get('in_progress', 0),
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'resolved': resolved_count,
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'resolved': resolved_count,
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'closed': status_counts.get('closed', 0),
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'closed': status_counts.get('closed', 0),
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'by_category': dict(category_counts),
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'by_category': dict(category_counts),
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'by_priority': dict(priority_counts)
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'by_priority': dict(priority_counts)
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}
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}
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# 满意度
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# 满意度
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scores = []
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scores = []
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for wo in workorders:
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for wo in workorders:
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if wo.satisfaction_score not in (None, ''):
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if wo.satisfaction_score not in (None, ''):
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try:
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try:
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score = float(wo.satisfaction_score)
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score = float(wo.satisfaction_score)
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scores.append(score)
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scores.append(score)
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except (ValueError, TypeError):
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except (ValueError, TypeError):
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continue
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continue
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avg_satisfaction = round(sum(scores)/len(scores), 1) if scores else 0
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avg_satisfaction = round(sum(scores)/len(scores), 1) if scores else 0
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dist = Counter([str(int(round(s))) for s in scores]) if scores else {}
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dist = Counter([str(int(round(s))) for s in scores]) if scores else {}
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satisfaction_stats = {
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satisfaction_stats = {
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'average': avg_satisfaction,
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'average': avg_satisfaction,
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'distribution': {k: int(v) for k, v in dist.items()}
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'distribution': {k: int(v) for k, v in dist.items()}
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}
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}
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# 预警统计
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# 预警统计
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level_counts = Counter([al.level for al in alerts])
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level_counts = Counter([al.level for al in alerts])
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active_alerts = len([al for al in alerts if al.is_active])
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active_alerts = len([al for al in alerts if al.is_active])
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resolved_alerts = len([al for al in alerts if not al.is_active and al.resolved_at])
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resolved_alerts = len([al for al in alerts if not al.is_active and al.resolved_at])
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alerts_stats = {
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alerts_stats = {
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'total': len(alerts),
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'total': len(alerts),
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'active': active_alerts,
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'active': active_alerts,
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'resolved': resolved_alerts,
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'resolved': resolved_alerts,
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'by_level': {k: int(v) for k, v in level_counts.items()}
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'by_level': {k: int(v) for k, v in level_counts.items()}
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}
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}
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# 性能指标（基于对话响应时间粗略估计）
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# 性能指标（基于对话响应时间粗略估计）
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resp_times = []
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resp_times = []
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for c in conversations:
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for c in conversations:
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if c.response_time not in (None, ''):
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if c.response_time not in (None, ''):
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try:
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try:
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resp_time = float(c.response_time)
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resp_time = float(c.response_time)
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resp_times.append(resp_time)
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resp_times.append(resp_time)
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except (ValueError, TypeError):
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except (ValueError, TypeError):
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continue
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continue
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avg_resp = round(sum(resp_times)/len(resp_times), 2) if resp_times else 0
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avg_resp = round(sum(resp_times)/len(resp_times), 2) if resp_times else 0
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throughput = len(conversations) # 期间内的对话数量
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throughput = len(conversations) # 期间内的对话数量
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# 错误率：用严重预警比例粗估
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# 错误率：用严重预警比例粗估
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critical = level_counts.get('critical', 0)
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critical = level_counts.get('critical', 0)
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error_rate = round((critical / alerts_stats['total']) * 100, 2) if alerts_stats['total'] > 0 else 0
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error_rate = round((critical / alerts_stats['total']) * 100, 2) if alerts_stats['total'] > 0 else 0
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performance_stats = {
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performance_stats = {
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'response_time': avg_resp,
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'response_time': avg_resp,
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'uptime': 99.0, # 可接入真实监控后更新
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'uptime': 99.0, # 可接入真实监控后更新
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'error_rate': error_rate,
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'error_rate': error_rate,
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'throughput': throughput
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'throughput': throughput
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}
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}
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return {
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return {
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'trend': trend,
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'trend': trend,
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'workorders': workorders_stats,
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'workorders': workorders_stats,
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'satisfaction': satisfaction_stats,
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'satisfaction': satisfaction_stats,
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'alerts': alerts_stats,
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'alerts': alerts_stats,
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'performance': performance_stats,
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'performance': performance_stats,
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'summary': {
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'summary': {
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'total_workorders': total,
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'total_workorders': total,
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'resolution_rate': round((resolved_count/total)*100, 1) if total > 0 else 0,
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'resolution_rate': round((resolved_count/total)*100, 1) if total > 0 else 0,
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'avg_satisfaction': avg_satisfaction,
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'avg_satisfaction': avg_satisfaction,
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'active_alerts': active_alerts
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'active_alerts': active_alerts
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}
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}
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}
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}
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@@ -1144,11 +1147,11 @@ def get_settings():
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settings['api_key'] = '******'
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settings['api_key'] = '******'
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settings['api_key_masked'] = True
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settings['api_key_masked'] = True
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else:
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else:
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settings = {
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settings = {
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"api_timeout": 30,
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"api_timeout": 30,
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"max_history": 10,
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"max_history": 10,
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"refresh_interval": 10,
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"refresh_interval": 10,
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"auto_monitoring": True,
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"auto_monitoring": True,
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"agent_mode": True,
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"agent_mode": True,
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# LLM与API配置（仅持久化，不直接热更新LLM客户端）
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# LLM与API配置（仅持久化，不直接热更新LLM客户端）
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"api_provider": "openai",
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"api_provider": "openai",
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