mirrors / foundationagents--openmanus

项目文件夹

foundationagents--openmanus
文件
chart-visualization
T

327 行
19 KiB
Python
原始文件 永久链接 Blame 文件历史

import asyncio
import os
import sys
print(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))))
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))))
from app.agent.data_analysis import DataAnalysis
# from app.agent.manus import Manus
async def main():
agent = DataAnalysis()
# agent = Manus()
await agent.run(
# """Requirement:
# 1. Analyze the following data and generate a graphical data report in HTML format. The final product should be a data report.
# Data:
# Month | Team A | Team B | Team C
# January | 1200 hours | 1350 hours | 1100 hours
# February | 1250 hours | 1400 hours | 1150 hours
# March | 1180 hours | 1300 hours | 1300 hours
# April | 1220 hours | 1280 hours | 1400 hours
# May | 1230 hours | 1320 hours | 1450 hours
# June | 1200 hours | 1250 hours | 1500 hours """
# Date,Type,Value
# 2023-01-01,Product A,52.9
# 2023-01-01,Product B,63.6
# 2023-01-01,Product C,11.2
# 2023-01-02,Product A,45.7
# 2023-01-02,Product B,89.1
# 2023-01-02,Product C,21.4
# 2023-01-03,Product A,67.2
# 2023-01-03,Product B,82.4
# 2023-01-03,Product C,31.7
# 2023-01-04,Product A,80.7
# 2023-01-04,Product B,55.1
# 2023-01-04,Product C,21.1
# 2023-01-05,Product A,65.6
# 2023-01-05,Product B,78
# 2023-01-05,Product C,31.3
# 2023-01-06,Product A,75.6
# 2023-01-06,Product B,89.1
# 2023-01-06,Product C,63.5
# 2023-01-07,Product A,67.3
# 2023-01-07,Product B,77.2
# 2023-01-07,Product C,43.7
# 2023-01-08,Product A,96.1
# 2023-01-08,Product B,97.6
# 2023-01-08,Product C,59.9
# 2023-01-09,Product A,96.1
# 2023-01-09,Product B,100.6
# 2023-01-09,Product C,66.8
# 2023-01-10,Product A,101.6
# 2023-01-10,Product B,108.3
# 2023-01-10,Product C,56.9
# Table1: 用户基本信息
# Name,Age,Gender,Height(cm),Weight(kg),MeasureDate
# 王小明,32,男,175.5,72.3,2023-10-01
# Table2: 身体成分数据
# Date,BodyFat(%),MuscleMass(kg),WaterContent(%),BoneMass(kg),VisceralFat,BMR(kcal),Protein(%)
# 2023-10-01,22.5,52.1,55.3,3.1,8,1650,18.7
# Table3: 每日营养活动数据
# Date,CaloriesIntake(kcal),CaloriesBurned(kcal),ProteinIntake(g),CarbIntake(g),FatIntake(g),Steps,ActiveMinutes,SleepHours,MorningWeight(kg)
# 2023-09-01,2150,1850,125,240,65,8560,45,7.2,73.1
# 2023-09-02,1980,2100,110,210,58,10200,65,6.8,72.8
# 2023-09-03,2300,1750,135,260,70,7200,30,8.1,72.9
# 2023-09-04,2050,1950,120,225,62,8900,50,7.5,72.6
# 2023-09-05,2400,2250,140,280,75,11500,75,6.5,72.4
# 2023-09-06,1900,1800,105,200,55,8300,40,7.8,72.2
# 2023-09-07,2250,2050,130,250,68,9700,60,7.0,72.0
# 2023-09-08,2100,1900,115,230,60,8800,45,7.3,71.9
# 2023-09-09,2350,2200,138,265,72,10800,70,6.7,71.7
# 2023-09-10,2000,1850,118,215,57,8500,42,7.6,71.5
# 2023-09-11,2200,1950,128,235,65,9200,55,7.1,71.4
# 2023-09-12,2450,2300,145,290,78,11200,80,6.4,71.2
# 2023-09-13,1950,1820,108,205,53,8400,38,7.7,71.0
# 2023-09-14,2300,2080,132,255,70,9900,62,6.9,70.8
# 2023-09-15,2080,1920,122,220,61,8700,48,7.4,70.7
# 2023-09-16,2380,2250,140,270,74,10700,72,6.6,70.5
# 2023-09-17,2020,1870,116,218,58,8600,43,7.5,70.3
# 2023-09-18,2280,2120,131,245,69,9500,58,6.8,70.1
# 2023-09-19,2420,2280,142,285,77,11000,78,6.3,70.0
# 2023-09-20,1970,1830,109,208,54,8250,39,7.6,69.9
# 2023-09-21,2320,2100,134,258,71,9800,60,6.7,69.7
# 2023-09-22,2120,1940,124,228,63,8950,50,7.2,69.6
# 2023-09-23,2360,2220,139,272,75,10500,74,6.5,69.4
# 2023-09-24,2040,1880,119,222,59,8650,44,7.4,69.3
# 2023-09-25,2260,2150,130,248,68,9600,57,6.9,69.1
# 2023-09-26,2430,2290,143,287,76,10900,77,6.2,68.9
# 2023-09-27,1990,1840,111,212,56,8350,40,7.5,68.8
# 2023-09-28,2340,2130,135,263,72,9750,61,6.6,68.6
# 2023-09-29,2140,1960,126,232,64,9050,52,7.1,68.5
# 2023-09-30,2370,2240,141,275,74,10600,73,6.4,68.3
# Table4: 健康指标参考范围
# Category,SubCategory,Range,Unit
# BMI,Underweight,<18.5,kg/m²
# BMI,Normal,18.5-24.9,kg/m²
# BMI,Overweight,25-29.9,kg/m²
# BMI,Obese,≥30,kg/m²
# BodyFat,Male(20-39),8-19,%
# BodyFat,Female(20-39),21-33,%
# VisceralFat,Normal,1-9,Level
# VisceralFat,High,10-14,Level
# VisceralFat,Very High,≥15,Level
# Sleep,Recommended,7-9,hours
# Steps,Active,≥10000,steps/day
# Table1: 用户基本信息
# Name,Age,Gender,Height(cm),Weight(kg),MeasureDate
# 张三,45,男,170,98.6,2023-10-01
# Table2: 身体成分数据
# Date,BodyFat(%),MuscleMass(kg),WaterContent(%),BoneMass(kg),VisceralFat,BMR(kcal),Protein(%)
# 2023-10-01,35.2,42.3,43.1,2.8,18,1420,14.2
# Table3: 每日营养活动数据
# Date,CaloriesIntake(kcal),CaloriesBurned(kcal),ProteinIntake(g),CarbIntake(g),FatIntake(g),Steps,ActiveMinutes,SleepHours,MorningWeight(kg)
# 2023-09-01,3850,1250,85,480,120,3200,12,5.2,99.2
# 2023-09-02,4200,1100,90,520,135,2800,8,4.8,99.5
# 2023-09-03,3600,950,78,450,110,2500,5,5.5,99.8
# 2023-09-04,3950,1050,82,490,125,2900,10,4.5,100.1
# 2023-09-05,4100,1150,88,510,130,3100,15,5.0,100.3
# 2023-09-06,3750,980,80,460,115,2600,6,4.7,100.6
# 2023-09-07,4300,1200,92,540,140,3300,18,4.3,100.9
# 2023-09-08,3450,900,75,430,105,2400,4,5.2,101.2
# 2023-09-09,4000,1000,84,500,122,2700,9,4.9,101.5
# 2023-09-10,3800,975,79,470,118,2550,7,5.1,101.8
# 2023-09-11,4150,1100,86,515,128,3000,14,4.6,102.0
# 2023-09-12,3550,925,77,440,108,2300,3,5.4,102.3
# 2023-09-13,4250,1180,94,530,138,3400,20,4.2,102.6
# 2023-09-14,3700,990,81,465,113,2650,8,5.3,102.9
# 2023-09-15,4050,1070,87,505,127,2950,13,4.8,103.1
# 2023-09-16,3500,910,76,435,104,2250,2,5.6,103.4
# 2023-09-17,3900,1020,83,485,120,2750,11,4.7,103.7
# 2023-09-18,4350,1250,96,550,145,3500,22,4.0,104.0
# 2023-09-19,3650,960,79,455,112,2450,5,5.2,104.3
# 2023-09-20,4000,1030,85,495,124,2850,12,4.9,104.5
# 2023-09-21,3450,890,74,425,103,2200,1,5.5,104.8
# 2023-09-22,3850,995,82,475,119,2700,10,4.6,105.1
# 2023-09-23,4100,1120,89,515,131,3050,16,4.3,105.4
# 2023-09-24,3550,935,77,440,107,2350,4,5.4,105.7
# 2023-09-25,3950,1010,84,490,123,2800,13,4.8,106.0
# 2023-09-26,4200,1150,91,525,136,3200,19,4.1,106.3
# 2023-09-27,3600,945,78,445,109,2400,6,5.3,106.6
# 2023-09-28,4050,1080,87,505,128,2900,15,4.7,106.9
# 2023-09-29,3750,970,80,460,116,2600,9,5.0,107.2
# 2023-09-30,4300,1220,95,540,142,3350,23,3.9,107.5
# Table4: 健康指标参考范围
# Category,SubCategory,Range,Unit
# BMI,Underweight,<18.5,kg/m²
# BMI,Normal,18.5-24.9,kg/m²
# BMI,Overweight,25-29.9,kg/m²
# BMI,Obese,≥30,kg/m²
# BodyFat,Male(40-59),11-22,%
# BodyFat,Female(40-59),23-34,%
# VisceralFat,Normal,1-9,Level
# VisceralFat,High,10-14,Level
# VisceralFat,Very High,≥15,Level
# Sleep,Recommended,7-9,hours
# Steps,Active,≥10000,steps/day
# Table 1: Tourist Demographic Profile (Sample: 1,000 respondents)
# AgeGroup,Gender,IncomeLevel,TravelFrequency,PreferredDestinationType
# 18-25,Female,Medium,3,Cultural
# 26-35,Male,High,5,Adventure
# 36-45,Female,High,2,Beach
# 46-55,Male,Medium,1,Historical
# 56+,Female,Low,1,Nature
# Table 2: Monthly Tourism Performance (2025)
# Month,DomesticTravelers(M),IntlArrivals(M),AvgSpend($),OccupancyRate(%),AvgStayDuration(nights)
# Jan,85.2,4.3,680,72,4.2
# Feb,78.5,3.8,650,68,3.9
# Mar,92.1,5.1,720,78,4.5
# Apr,88.7,4.9,710,75,4.3
# May,95.4,5.6,750,82,4.8
# Jun,103.2,6.3,790,88,5.1
# Jul,110.5,7.0,820,92,5.4
# Aug,108.9,6.8,810,90,5.3
# Sep,97.6,5.9,770,83,4.9
# Oct,91.3,5.2,730,77,4.4
# Nov,84.0,4.5,690,71,4.1
# Dec,87.5,4.8,700,74,4.2
# Table 3: Destination Popularity Ranking
# Rank,Destination,Country,Visitors2025(M),GrowthRate(%),AvgRating(5),TopAttractions
# 1,Bali,Indonesia,8.2,+18.3,4.7,Beaches,Culture
# 2,Paris,France,7.8,+12.5,4.6,Museums,Landmarks
# 3,Tokyo,Japan,7.5,+22.1,4.8,Technology,Cuisine
# 4,Rome,Italy,6.9,+15.7,4.5,History,Architecture
# 5,New York,USA,6.7,+9.8,4.4,Shopping,Entertainment
# 6,Sydney,Australia,5.8,+14.2,4.6,Nature,Wildlife
# 7,Cape Town,South Africa,5.3,+25.6,4.7,Adventure,Scenery
# 8,Barcelona,Spain,5.1,+11.9,4.5,Architecture,Beaches
# 9,Dubai,UAE,4.9,+7.5,4.3,Luxury,Shopping
# 10,Bangkok,Thailand,4.7,+19.8,4.4,Culture,Food
# Table 4: Travel Spending Breakdown
# Category,Percentage2025,Percentage2024,Change(pp)
# Accommodation,32,35,-3
# Food&Beverage,25,27,-2
# Transportation,20,18,+2
# Activities,15,12,+3
# Shopping,8,8,0
# Table 5: Booking Channel Performance
# Channel,Bookings2025(M),MarketShare(%),ConversionRate(%),AvgBookingValue($)
# OTA,45.2,38,12,850
# Direct,32.7,28,8,920
# MobileApp,25.8,22,15,780
# TravelAgent,14.3,12,5,1100
# Table 6: Travel Purpose Segmentation
# Purpose,Percentage,AvgSpend($),AvgDuration(nights)
# Leisure,62,1250,7.2
# Business,23,1850,3.5
# VisitingFriends,10,850,5.8
# Education,5,3200,28.4
# Table 7: Accommodation Preferences
# Type,Percentage,AvgNightlyRate($),Satisfaction(5)
# Hotel,45,120,4.2
# VacationRental,30,95,4.4
# Hostel,15,35,3.8
# Resort,10,220,4.6
# Table 8: Transportation Mode Share
# Mode,Domestic(%),International(%),AvgDistance(km)
# Air,25,68,1200
# Car,55,12,350
# Train,15,8,180
# Bus,5,12,90
# Table 9: Seasonal Demand Patterns
# Quarter,DemandIndex,AvgPriceIndex,OccupancyRate(%)
# Q1,85,95,72
# Q2,92,100,78
# Q3,100,120,88
# Q4,88,105,75
# Table 10: Sustainability Metrics
# Metric,2025Score,2024Score,Improvement(%)
# EcoAccommodations,68,60,+13.3
# CarbonOffset,42,35,+20.0
# LocalSourcing,75,70,+7.1
# WasteReduction,58,50,+16.0
# Table1: 用户基本信息
# Name,Age,Gender,Height(cm),Weight(kg),MeasureDate
# 张三,45,男,170,98.6,2023-10-01
# Table2: 身体成分数据
# Date,BodyFat(%),MuscleMass(kg),WaterContent(%),BoneMass(kg),VisceralFat,BMR(kcal),Protein(%)
# 2023-10-01,35.2,42.3,43.1,2.8,18,1420,14.2
# Table3: 每日营养活动数据
# Date,CaloriesIntake(kcal),CaloriesBurned(kcal),ProteinIntake(g),CarbIntake(g),FatIntake(g),Steps,ActiveMinutes,SleepHours,MorningWeight(kg)
# 2023-09-01,3850,1250,85,480,120,3200,12,5.2,99.2
# 2023-09-02,4200,1100,90,520,135,2800,8,4.8,99.5
# 2023-09-03,3600,950,78,450,110,2500,5,5.5,99.8
# 2023-09-04,3950,1050,82,490,125,2900,10,4.5,100.1
# 2023-09-05,4100,1150,88,510,130,3100,15,5.0,100.3
# 2023-09-06,3750,980,80,460,115,2600,6,4.7,100.6
# 2023-09-07,4300,1200,92,540,140,3300,18,4.3,100.9
# 2023-09-08,3450,900,75,430,105,2400,4,5.2,101.2
# 2023-09-09,4000,1000,84,500,122,2700,9,4.9,101.5
# 2023-09-10,3800,975,79,470,118,2550,7,5.1,101.8
# 2023-09-11,4150,1100,86,515,128,3000,14,4.6,102.0
# 2023-09-12,3550,925,77,440,108,2300,3,5.4,102.3
# 2023-09-13,4250,1180,94,530,138,3400,20,4.2,102.6
# 2023-09-14,3700,990,81,465,113,2650,8,5.3,102.9
# 2023-09-15,4050,1070,87,505,127,2950,13,4.8,103.1
# 2023-09-16,3500,910,76,435,104,2250,2,5.6,103.4
# 2023-09-17,3900,1020,83,485,120,2750,11,4.7,103.7
# 2023-09-18,4350,1250,96,550,145,3500,22,4.0,104.0
# 2023-09-19,3650,960,79,455,112,2450,5,5.2,104.3
# 2023-09-20,4000,1030,85,495,124,2850,12,4.9,104.5
# 2023-09-21,3450,890,74,425,103,2200,1,5.5,104.8
# 2023-09-22,3850,995,82,475,119,2700,10,4.6,105.1
# 2023-09-23,4100,1120,89,515,131,3050,16,4.3,105.4
# 2023-09-24,3550,935,77,440,107,2350,4,5.4,105.7
# 2023-09-25,3950,1010,84,490,123,2800,13,4.8,106.0
# 2023-09-26,4200,1150,91,525,136,3200,19,4.1,106.3
# 2023-09-27,3600,945,78,445,109,2400,6,5.3,106.6
# 2023-09-28,4050,1080,87,505,128,2900,15,4.7,106.9
# 2023-09-29,3750,970,80,460,116,2600,9,5.0,107.2
# 2023-09-30,4300,1220,95,540,142,3350,23,3.9,107.5
# Table4: 健康指标参考范围
# Category,SubCategory,Range,Unit
# BMI,Underweight,<18.5,kg/m²
# BMI,Normal,18.5-24.9,kg/m²
# BMI,Overweight,25-29.9,kg/m²
# BMI,Obese,≥30,kg/m²
# BodyFat,Male(40-59),11-22,%
# BodyFat,Female(40-59),23-34,%
# VisceralFat,Normal,1-9,Level
# VisceralFat,High,10-14,Level
# VisceralFat,Very High,≥15,Level
# Sleep,Recommended,7-9,hours
# Steps,Active,≥10000,steps/day
"""Requirement: Analyze the following data and generate a graphical data report in HTML format. The final product should be a data report.
[{"230925203632021":"2023-04-01","230925203632066":"25860.24","240510184222013":"西南"},{"230925203632021":"2023-04-01","230925203632066":"5877.647999999999","240510184222013":"东北"},{"230925203632021":"2023-04-01","230925203632066":"34271.58","240510184222013":"中南"},{"230925203632021":"2023-04-01","230925203632066":"6251.420000000001","240510184222013":"华北"},{"230925203632021":"2023-04-01","230925203632066":"3113.459999999999","240510184222013":"华东"},{"230925203632021":"2023-04-02","230925203632066":"87717.84","240510184222013":"西北"},{"230925203632021":"2023-04-02","230925203632066":"53058.96400000001","240510184222013":"华东"},{"230925203632021":"2023-04-02","230925203632066":"14409.919999999998","240510184222013":"华北"},{"230925203632021":"2023-04-02","230925203632066":"5540.92","240510184222013":"东北"},{"230925203632021":"2023-04-03","230925203632066":"41802.488000000005","240510184222013":"中南"},{"230925203632021":"2023-04-03","230925203632066":"9202.2","240510184222013":"东北"},{"230925203632021":"2023-04-03","230925203632066":"583.2959999999999","240510184222013":"西南"},{"230925203632021":"2023-04-03","230925203632066":"560.56","240510184222013":"华北"},{"230925203632021":"2023-04-03","230925203632066":"96269.32","240510184222013":"华东"},{"230925203632021":"2023-04-04","230925203632066":"106208.47999999997","240510184222013":"东北"},{"230925203632021":"2023-04-04","230925203632066":"6231.624","240510184222013":"中南"},{"230925203632021":"2023-04-04","230925203632066":"84454.83199999998","240510184222013":"华东"},{"230925203632021":"2023-04-05","230925203632066":"312.816","240510184222013":"东北"},{"230925203632021":"2023-04-05","230925203632066":"5718.888000000001","240510184222013":"西南"},{"230925203632021":"2023-04-05","230925203632066":"39811.91200000001","240510184222013":"中南"},{"230925203632021":"2023-04-05","230925203632066":"244163.47199999995","240510184222013":"华东"},{"230925203632021":"2023-04-05","230925203632066":"79487.40800000001","240510184222013":"华北"},{"230925203632021":"2023-04-06","230925203632066":"28648.339999999997","240510184222013":"中南"},{"230925203632021":"2023-04-06","230925203632066":"18288.760000000002","240510184222013":"华北"},{"230925203632021":"2023-04-08","230925203632066":"67434.584","240510184222013":"西南"},{"230925203632021":"2023-04-08","230925203632066":"1176","240510184222013":"中南"},{"230925203632021":"2023-04-08","230925203632066":"81264.54000000001","240510184222013":"西北"},{"230925203632021":"2023-04-08","230925203632066":"87750.964","240510184222013":"华东"},{"230925203632021":"2023-04-09","230925203632066":"67434.584","240510184222013":"西南"},{"230925203632021":"2023-04-09","230925203632066":"5902.344","240510184222013":"中南"},{"230925203632021":"2023-04-09","230925203632066":"22252.271999999997","240510184222013":"华东"},{"230925203632021":"2023-04-09","230925203632066":"98844.76","240510184222013":"东北"},{"230925203632021":"2023-04-10","230925203632066":"2677.36","240510184222013":"华东"},{"230925203632021":"2023-04-10","230925203632066":"1444.52","240510184222013":"西南"},{"230925203632021":"2023-04-10","230925203632066":"62082.60799999999","240510184222013":"东北"},{"230925203632021":"2023-04-10","230925203632066":"677.3760000000001","240510184222013":"中南"},{"230925203632021":"2023-04-11","230925203632066":"776.16","240510184222013":"西南"},{"230925203632021":"2023-04-11","230925203632066":"7487.004000000001","240510184222013":"中南"},{"230925203632021":"2023-04-11","230925203632066":"57016.399999999994","240510184222013":"华东"},{"230925203632021":"2023-04-12","230925203632066":"7131.852000000001","240510184222013":"西南"},{"230925203632021":"2023-04-12","230925203632066":"11837.812","240510184222013":"华东"},{"230925203632021":"2023-04-12","230925203632066":"207763.13600000003","240510184222013":"中南"},{"230925203632021":"2023-04-13","230925203632066":"24299.296000000002","240510184222013":"中南"},{"230925203632021":"2023-04-13","230925203632066":"9847.04","240510184222013":"华东"},{"230925203632021":"2023-04-13","230925203632066":"15919.119999999999","240510184222013":"东北"},{"230925203632021":"2023-04-15","230925203632066":"33544.420000000006","240510184222013":"西南"},{"230925203632021":"2023-04-15","230925203632066":"39935.97999999999","240510184222013":"中南"},{"230925203632021":"2023-04-15","230925203632066":"60416.804","240510184222013":"华北"},{"230925203632021":"2023-04-15","230925203632066":"1234.8000000000002","240510184222013":"东北"},{"230925203632021":"2023-04-15","230925203632066":"36007.159999999996","240510184222013":"华东"},{"230925203632021":"2023-04-16","230925203632066":"108484.04000000001","240510184222013":"华东"},{"230925203632021":"2023-04-16","230925203632066":"2450","240510184222013":"西南"},{"230925203632021":"2023-04-17","230925203632066":"78099.14000000001","240510184222013":"华东"},{"230925203632021":"2023-04-17","230925203632066":"49350.84","240510184222013":"中南"},{"230925203632021":"2023-04-17","230925203632066":"18480.84","240510184222013":"华北"},{"230925203632021":"2023-04-18","230925203632066":"48419.840000000004","240510184222013":"东北"},{"230925203632021":"2023-04-18","230925203632066":"118951.66500000001","240510184222013":"中南"},{"230925203632021":"2023-04-18","230925203632066":"10853.892","240510184222013":"华北"},{"230925203632021":"2023-04-18","230925203632066":"1627.5839999999998","240510184222013":"西南"},{"230925203632021":"2023-04-18","230925203632066":"32777.276000000005","240510184222013":"华东"},{"230925203632021":"2023-04-19","230925203632066":"41905.78000000001","240510184222013":"华北"},{"230925203632021":"2023-04-19","230925203632066":"47942.58000000001","240510184222013":"华东"},{"230925203632021":"2023-04-19","230925203632066":"48259.512","240510184222013":"东北"},{"230925203632021":"2023-04-19","230925203632066":"18021.22","240510184222013":"中南"},{"230925203632021":"2023-04-22","230925203632066":"58530.50000000001","240510184222013":"东北"},{"230925203632021":"2023-04-22","230925203632066":"22004.724000000002","240510184222013":"华东"},{"230925203632021":"2023-04-22","230925203632066":"7729.260000000001","240510184222013":"中南"},{"230925203632021":"2023-04-23","230925203632066":"49218.540000000015","240510184222013":"华东"},{"230925203632021":"2023-04-23","230925203632066":"13944.419999999998","240510184222013":"东北"},{"230925203632021":"2023-04-23","230925203632066":"3843.56","240510184222013":"西南"},{"230925203632021":"2023-04-24","230925203632066":"16754.08","240510184222013":"西南"},{"230925203632021":"2023-04-24","230925203632066":"2343.1800000000003","240510184222013":"东北"},{"230925203632021":"2023-04-24","230925203632066":"41413.81999999999","240510184222013":"华东"},{"230925203632021":"2023-04-24","230925203632066":"723.2399999999998","240510184222013":"中南"},{"230925203632021":"2023-04-25","230925203632066":"10678.08","240510184222013":"中南"},{"230925203632021":"2023-04-25","230925203632066":"44791.096000000005","240510184222013":"华东"}],"fields":{"230925203632021":{"alias":"订单日期","domain":["2023-04-01","2023-04-02","2023-04-03","2023-04-04","2023-04-05","2023-04-06","2023-04-08","2023-04-09","2023-04-10","2023-04-11","2023-04-12","2023-04-13","2023-04-15","2023-04-16","2023-04-17","2023-04-18","2023-04-19","2023-04-22","2023-04-23","2023-04-24","2023-04-25"]
"""
)
if __name__ == "__main__":
asyncio.run(main())
在新工单中引用 查看 Git Blame 复制永久链接