SELECT pr.PRODUCT_ID, pr.PRODUCT_NAME, pr.ORIGINAL_PRICE, pr.ONLINE_PRICE, pr.COMMISSION_PERCENT, pr.TOTAL_SALES, pr.SHOP, dict.label AS COMMERCE_TYPE_LABEL, pr.SERVICE_RATE, ord.ORDER_ID, date.label AS SEND_FLG_LABEL, pro.CONNECT_BUSINESS_FLG, address.APPLY_REMARK, address.CREATE_TIME, users.nicknameFROM t_product AS prLEFT JOIN t_order AS ord ON ord.PRODUCT_ID = pr.IDLEFT JOIN ( SELECT label, `value` FROM system_dict_data WHERE dict_type = 'COMMERCE_TYPE' ) AS dict ON dict.`value` = pr.COMMERCE_TYPE LEFT JOIN ( SELECT label, `value` FROM system_dict_data WHERE dict_type = 'trade_after_sample_type' ) AS date ON date.`value` = ord.SEND_FLGLEFT JOIN t_apply_pro AS pro ON pro.PRODUCT_ID = pr.IDLEFT JOIN t_apply_pro_user_address AS address ON address.t_apply_pro_id = pro.IDLEFT JOIN system_users AS users ON users.id = pro.OPERATE_USER_ID WHERE users.id = '1'

RTCM.zip_RTCM _mc55_vrs

RTCM（Radio Technical Commission for Maritime Services）标准定义了一种用于传输高精度GPS数据的协议，包括改正信息和辅助数据。这些信息可以修正卫星信号的误差源，如大气折射、钟差等，以提高定位精度。RTCM...

MPEG.rar_mpeg 视频_yv12_视频回放

MPEG（Moving Picture Experts Group）是数字视频和音频编码的国际标准，由ISO（International Organization for Standardization）和IEC（International Electrotechnical Commission）共同制定。MPEG系列标准包括...

修改错误 SELECT pr.PRODUCT_ID, pr.PRODUCT_NAME, pr.ORIGINAL_PRICE, pr.ONLINE_PRICE, pr.COMMISSION_PERCENT, pr.TOTAL_SALES, pr.SHOP, dict.label AS COMMERCE_TYPE_LABEL, pr.SERVICE_RATE, ord.ORDER_ID, date.label AS SEND_FLG_LABEL, pro.CONNECT_BUSINESS_FLG, address.APPLY_REMARK, address.CREATE_TIME, users.nicknameFROM t_product AS prLEFT JOIN t_order AS ord ON ord.PRODUCT_ID = pr.IDLEFT JOIN ( SELECT label, value FROM system_dict_data WHERE dict_type = 'COMMERCE_TYPE' ) AS dict ON dict.value = pr.COMMERCE_TYPE LEFT JOIN ( SELECT label, value FROM system_dict_data WHERE dict_type = 'trade_after_sample_type' ) AS date ON date.value = ord.SEND_FLGLEFT JOIN t_apply_pro AS pro ON pro.PRODUCT_ID = pr.IDLEFT JOIN t_apply_pro_user_address AS address ON address.t_apply_pro_id = pro.IDLEFT JOIN system_users AS users ON users.id = pro.OPERATE_USER_ID WHERE users.id = '1'

LEFT JOIN t_order ord ON ord.PRODUCT_ID = pr.ID LEFT JOIN ( SELECT label, value FROM system_dict_data WHERE dict_type = 'COMMERCE_TYPE' ) AS dict ON dict.value = pr.COMMERCE_TYPE LEFT ...

SELECT bs.sample_id, bs.item_id, bs.report_id, bs.order_no, bs.order_id, bs.order_business_type, bs.commission_date, bs.customer_name, bs.applicant, bs.phone, bs.receive_user_name, bs.contract_no, bs.special_requirements, bs.report_org_name, bs.report_org_address, bs.sample_name, bs.standard_instrument_name, bs.complete_day, bs.sample_remark AS remark, bs.standard_instrument_id, bs.sample_no, bs.factory_number, bs.item_name, /bs.item_quantity,/ bs.inspection_type, bs.mandatory_flag, bs.test_quantity, bs.sample_state, bs.current_site, bs.plan_complete_date, bs.affix, bs.ranges, bs.grade, bs.factory, bs.calibrat_point, bs.apply_dept, bs.specification, bs.final_fee, bs.service_type, CASE WHEN bs.actual_complete_date IS NOT NULL THEN DATEDIFF( bs.plan_complete_date, bs.actual_complete_date ) ELSE datediff( bs.plan_complete_date, now()) END AS surplus_days, bs.report_no, bs.is_report_back, bs.back_reason AS report_back_reason, bs.is_just_certificate, bs.report_state, bs.temper, bs.humidity, bs.test_result, bs.test_date, bs.next_test_date, bs.test_cycle, bs.test_address, bs.generate_time, bs.point_report_id, bs.is_merge, bs.circulation_flag, bs.item_proposal_fee AS proposal_fee, bs.change_price_reason, bs.test_user_name, bs.group_id, bs.group_name, bs.charging_num, bs.other_fee, bs.receivable_fee, bs.affix_quantity, bs.test_org, bs.out_org_order_no, bs.out_org_sample_no, bs.business_user_name, bs.pdf_path, bs.settlement_state, bs.result_describe, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id 根据bs.commission_date 进行排序最近的排上面 bs.commission_date

JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id ORDER BY bs.commission_date DESC; 在上述 SQL 查询中...

SELECT orders.id,orders.user_id,orders.cityarea_id,orders.batchcode,orders.status, orders.pay_status,orders.real_pay,orders.total,orders.money,orders.pay_type, orders.premium,orders.createtime,orders.paytime,orders.confirmtime, orders.is_evaluate,orders.pay_method,orders.exp_user_id, orders.return_score, orders.is_change,orders.reward_money,orders.isvalid,orders.after_sale_status,orders.remark, orders.use_coupon_detail,orders.block_chain_price, users.name,users.weixin_name,users.weixin_fromuser, users.phone,wcoe.diy_area_name ,writes.ActivityStatus,writes.NewMoney,records.Commission,records.ReturnRadio from wsy_o2o.weixin_cityarea_orders orders left join wsy_o2o.weixin_cityarea_supply supply on orders.cityarea_id = supply.id left join wsy_o2o.weixin_cityarea_payonline_orders wcco on orders.batchcode=wcco.batchcode left join wsy_user.weixin_users users on users.id = orders.user_id LEFT JOIN wsy_o2o.weixin_cityarea_orders_extend wcoe ON orders.batchcode = wcoe.batchcode LEFT JOIN wsy_dream.ShopWrite writes on orders.batchcode = writes.Batchcode LEFT JOIN wsy_o2o.weixin_cityarea_supply_commissons_record records ON orders.cityarea_id = records.SupplyId and records.CreateTime < orders.createtime ORDER BY records.CreateTime DESC LIMIT 1 WHERE orders.types=3 and orders.customer_id = 41 AND orders.isvalid=true GROUP BY orders.batchcode ORDER BY orders.id DESC limit 0,20; 以上代码报错，怎么解决

SELECT orders.id, orders.user_id, orders.cityarea_id, orders.batchcode, orders.status, orders.pay_status, orders.real_pay, orders.total, orders.money, orders.pay_type, orders.premium, orders....

SELECT unit.*, COALESCE(sum(detail.order_money), 0) as order_amount, COALESCE(sum(detail.one_commission), 0) as one_commission, COALESCE(sum(detail.two_commission), 0) as two_commission, COALESCE((sum(detail.two_commission) + sum(detail.one_commission)), 0) as total_commission FROM profit_dividend_unit unit LEFT OUTER JOIN profit_dividend_detail detail ON unit.dividend_code = detail.dividend_code GROUP BY unit.unit_id 这个不使用GROUP BY，怎么写？

(SELECT COALESCE(SUM(one_commission), 0) + COALESCE(SUM(two_commission), 0) FROM profit_dividend_detail WHERE dividend_code = unit.dividend_code) as total_commission FROM profit_dividend_unit unit; ...

SELECT unit.*, sum( detail.order_money ) order_amount, sum( detail.one_commission ) one_commission, sum( detail.two_commission ) two_commission, ( sum( detail.two_commission ) + sum( detail.one_commission ) ) AS total_commission FROM profit_dividend_unit unit LEFT JOIN profit_dividend_detail detail ON unit.dividend_code = detail.dividend_code 修改改条sql，需要左表全部数据，没有对应的右表字段则显示空

GROUP BY unit.unit_id 在这个修改后的 SQL 中，我们使用了 COALESCE 函数，将可能为空的字段替换成了 0，确保了结果集中每一列都有值。同时，我们也保留了左表的全部数据，即使在右表中没有对应的记录。

SELECT a.supplier_id, count(DISTINCT a.order_id) AS totalcount, sum(IFNULL(b.receipt_amount, 0)) / 100 as total_amount, sum(IFNULL(b.sell_commission, 0)) / 100 as total_sellcommAmount, count(DISTINCT IF(b.channel_code = 61, a.order_id, NULL)) AS channelcode61_count, sum( IF(b.channel_code = 61, IFNULL(b.receipt_amount, 0), 0) ) / 100 as channelcode61_amount, sum( IF(b.channel_code = 61, IFNULL(b.sell_commission, 0), 0) ) / 100 as channelcode61_sellcommAmount FROM settle_order a INNER JOIN settle_order_receipt b ON a.order_id = b.order_id WHERE a.is_del = 0 AND a.order_type IN (70, 75) AND a.order_time >= '2023-05-28 00:00:00' AND a.order_time < '2023-05-29 00:00:00' AND a.supplier_id in ( 78, 63, 58, 57, 64, 72, 71, 74, 83, 77, 70, 69, 67, 82, 65, 87, 73, 59, 66, 60, 86, 85, 79, 80, 84, 90 ) GROUP BY a.supplier_id order by a.supplier_id asc

LEFT JOIN (SELECT * FROM settle_order_receipt) b ON a.order_id = b.order_id GROUP BY a.supplier_id ORDER BY a.supplier_id ASC 需要注意的是，优化SQL语句需要结合具体的数据库环境和数据情况进行，...

SELECT sum(t.pay_amount)+sum(t.promotion_amount)+SUM(t.author_coupon_subsidy)+SUM(t.actual_zt_pay_promotion)+SUM(t.actual_zr_pay_promotion)+SUM(t.refund_amount)+SUM(t.jylp_wp_amount)+SUM(t.post_amount)+SUM(t.promotion_amount_yf) as 'b_amount',\n" + "SUM(t.platform_service_fee)+SUM(t.commission)+SUM(t.channel_fee)+SUM(t.colonel_service_fee)+SUM(t.channel_promotion_fee)+SUM(t.other_sharing_amount)+SUM(t.yfx_amount)+SUM(t.jylp_yp_amount) as 's_amount'\n" + "from dy_settlement_push_input t where t.deleted = '0'

11. commission：佣金 12. channel_fee：渠道费用 13. colonel_service_fee：团长服务费 14. channel_promotion_fee：渠道促销费用 15. other_sharing_amount：其他分摊金额 16. yfx_amount：邮费险金额 17. jylp_yp...

SELECT a.batchcode,a.createtime,a.real_pay,a.total,a.money,b.ReturnRadio,b.Commission,c.RateBankMoney FROM wsy_o2o.weixin_cityarea_orders a LEFT JOIN wsy_o2o.weixin_cityarea_supply_commissons_record b on a.cityarea_id = b.SupplyId LEFT JOIN taocat.bankhead c on a.batchcode = c.BatchCode WHERE a.batchcode = 1380581689148037 and b.CreateTime < a.createtime GROUP BY CommissionRecordid DESC LIMIT 1; 优化上面的SQL语句

LEFT JOIN wsy_o2o.weixin_cityarea_supply_commissons_record AS b ON a.cityarea_id = b.SupplyId AND b.CreateTime < a.createtime LEFT JOIN taocat.bankhead AS c ON a.batchcode = c.BatchCode WHERE a....

INSERT INTO dy_check_statistics (ID, data_date, statistics_type, order_type, province_name, pay_amount, post_amount, promotion_amount, author_coupon_subsidy, actual_zt_pay_promotion, actual_zr_pay_promotion, refund_amount, platform_service_fee, commission, channel_fee, colonel_service_fee, channel_promotion_fee, other_sharing_amount, packing_amount, yfx_amount, promotion_amount_yf, jylp_yp_amount, jylp_wp_amount, txje, create_time, creator_name, update_time, updater_name, deleted, remark) select #{id}, #{date}, '1', NULL, NULL, IFNULL(sum(a.pay_amount),0), IFNULL(sum(a.post_amount),0), IFNULL(sum(a.promotion_amount),0), IFNULL(sum(a.author_coupon_subsidy),0), IFNULL(sum(a.actual_zt_pay_promotion),0), IFNULL(sum(a.actual_zr_pay_promotion),0), IFNULL(sum(a.refund_amount),0), IFNULL(sum(a.platform_service_fee),0), IFNULL(sum(a.commission),0), IFNULL(sum(a.channel_fee),0), IFNULL(sum(a.colonel_service_fee),0), IFNULL(sum(a.channel_promotion_fee),0), IFNULL(sum(a.other_sharing_amount),0), IFNULL(sum(a.packing_amount),0), IFNULL(sum(a.yfx_amount),0), IFNULL(sum(a.promotion_amount_yf),0), IFNULL(sum(a.jylp_yp_amount),0), IFNULL(sum(a.jylp_wp_amount),0), #{txje}, now(), 'system', now(), 'system', 0, NULL from ${fromTable} a

3. select #{id}, #{date}, '1', NULL, NULL, IFNULL(sum(a.pay_amount),0), IFNULL(sum(a.post_amount),0), IFNULL(sum(a.promotion_amount),0), IFNULL(sum(a.author_coupon_subsidy),0), IFNULL(sum(a.actual_zt...

# 导入聚宽函数库 import jqdata log.set_level("system","error") # 初始化程序, 整个回测只运行一次 def initialize(context): # 开启动态复权模式(真实价格) set_option('use_real_price', True) # 股票类交易手续费是：买入时佣金万分之三，卖出时佣金万分之三加千分之一印花税, 每笔交易佣金最低扣5块钱 set_order_cost(OrderCost(open_tax=0, close_tax=0.001, \ open_commission=0.0003, close_commission=0.0003,\ close_today_commission=0, min_commission=5), type='stock') # 股票池 g.stocks = list(get_all_securities(['stock']).index) #上涨家数 g.num = [] #上涨家数(去重) g.b=[] # 计数器 g.run_num = -1 # 运行函数 run_daily(market_open, time='every_bar') def before_trading_start(context): # 得到所有股票前1日收盘价 g.last_df = history(1,'1d','close',g.stocks) def market_open(context): #频率10分钟一次 g.run_num += -1 if g.run_num != 10: return else: g.run_num = 0 #每天每10分钟实时价格 for security in g.stocks: # 得到当前价格 current_data = get_current_data() price = current_data[security].last_price g.one = g.last_df[security][0] if price > g.one: g.num.append(security) g.b = list(set(g.num)) elif price < g.one: if security in g.num: g.num.remove(security) g.b = list(set(g.num)) print(len(g.b))把上述代码改成只在14：30分运行

你可以在initialize函数中添加一个定时器，使其在14:30分运行。具体的修改如下： python def initialize(context): # 其他代码... # 添加定时器，每天的14:30分运行 run_daily(market_open, time='14:30'...

# Set cash inside the strategy cerebro.broker = bt.brokers.BackBroker(coc=True) # 设置启动资金 cerebro.broker.setcash(10000.0) # 设置交易单位大小 # cerebro.addsizer(bt.sizers.FixedSize, stake=5000) # 设置佣金为千分之一 cerebro.broker.setcommission(commission=0.003) # 添加图表设置 cerebro.addobserver(bt.observers.Broker) cerebro.addobserver(bt.observers.Trades) cerebro.addobserver(bt.observers.DrawDown) # Set leverage #cerebro.broker.setcommission() # 添加分析指标 # 收益率 cerebro.addanalyzer(bt.analyzers.Returns, _name='_Returns') # 收益期间 cerebro.addanalyzer(bt.analyzers.TimeReturn, _name='_TimeReturn') # 计算最大回撤相关指标 cerebro.addanalyzer(bt.analyzers.DrawDown, _name='_DrawDown') # 回撤期间 cerebro.addanalyzer(bt.analyzers.TimeDrawDown, _name='_TimeDrawDown') # 计算年化夏普比率 cerebro.addanalyzer(bt.analyzers.SharpeRatio, _name='_SharpeRatio', timeframe=bt.TimeFrame.Days, annualize=True, riskfreerate=0) # 计算夏普比率 # 交易统计信息，如获胜、失败次数 cerebro.addanalyzer(bt.analyzers.TradeAnalyzer, _name='_TradeAnalyzer') # 运行回测 result = cerebro.run() # 输出回测结果 # 提取结果 print("--------------- 收益期间 -----------------") print(result[0].analyzers._TimeReturn.get_analysis()) print("--------------- 最大回撤相关指标 -----------------") print(result[0].analyzers._DrawDown.get_analysis()) print("--------------- 回撤期间 -----------------") print(result[0].analyzers._TimeDrawDown.get_analysis()) print(f"最终资金: {cerebro.broker.getvalue():,.2f} 元") print("收益率：",result[0].analyzers._Returns.get_analysis()['rtot']) print("夏普比率：",result[0].analyzers._SharpeRatio.get_analysis()['sharperatio']) # 绘制图表 cerebro.plot(iplot=False, style='candlestick', barup='red', bardown='green', volume=True, volup='red', voldown='green')这一代码显示IndentationError: unexpected indent

print("夏普比率：",result[0].analyzers._SharpeRatio.get_analysis()['sharperatio']) # 绘制图表 cerebro.plot(iplot=False, style='candlestick', barup='red', bardown='green', volume=True, volup='red', ...

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