基于当前的电商数据对账系统(支持抖音、快手、视频号、天猫、小红书等平台),设计一套完整的分析图表体系,为业务决策提供数据支撑。
SalesRevenueModel
的销售数据分析SalesReturnModel
的退货数据分析 ExpenseBillModel
的费用数据分析ReconciliationRecord
的对账质量分析原始账单数据层 (Bill Models)
↓
标准化对账数据层 (Reconciliation Models)
↓
财务会计数据层 (Accounting Models)
↓
分析计算数据层 (Analysis Views)
↓
图表展示层 (Chart Components)
—
业务目标:展示销售收入的时间趋势变化
图表类型:多线折线图 + 面积图组合
数据模型:
# 基础数据表
class SalesRevenueTrendView(models.Model):
date_period = models.DateField() # 统计日期(日/周/月/季/年)
platform = models.CharField(max_length=50) # 平台名称
account_id = models.IntegerField() # 账户ID
# 核心收入指标
gross_amount = models.DecimalField(max_digits=15, decimal_places=2) # 总收入
subsidy_amount = models.DecimalField(max_digits=15, decimal_places=2) # 补贴收入
settlement_amount = models.DecimalField(max_digits=15, decimal_places=2) # 实际结算
fee_amount = models.DecimalField(max_digits=15, decimal_places=2) # 总费用
net_amount = models.DecimalField(max_digits=15, decimal_places=2) # 净收入
# 订单量指标
order_count = models.IntegerField() # 订单数量
order_amount_avg = models.DecimalField(max_digits=12, decimal_places=2) # 客单价
class Meta:
db_table = 'analysis_sales_revenue_trend'
indexes = [
models.Index(fields=['date_period', 'platform']),
models.Index(fields=['account_id', 'date_period']),
]
过滤参数:
date_range
:时间范围(默认:最近30天)platform_ids
:平台筛选(默认:全部平台)account_ids
:账户筛选(默认:全部账户)period_type
:时间维度(日/周/月,默认:日)metrics
:指标选择(默认:[‘gross_amount’, ‘settlement_amount’])穿透关系:
业务目标:对比各平台销售表现
图表类型:分组柱状图 + 饼图组合
数据模型:
class PlatformSalesComparisonView(models.Model):
platform = models.CharField(max_length=50)
date_period = models.DateField()
# 收入指标
total_revenue = models.DecimalField(max_digits=15, decimal_places=2)
revenue_growth_rate = models.DecimalField(max_digits=5, decimal_places=2) # 同比增长率
market_share = models.DecimalField(max_digits=5, decimal_places=2) # 市场份额
# 运营指标
order_count = models.IntegerField()
customer_unit_price = models.DecimalField(max_digits=12, decimal_places=2)
conversion_rate = models.DecimalField(max_digits=5, decimal_places=2)
# 费用率指标
fee_rate = models.DecimalField(max_digits=5, decimal_places=2) # 费用率
profit_margin = models.DecimalField(max_digits=5, decimal_places=2) # 利润率
过滤参数:
compare_period
:对比周期(默认:月度对比)sort_by
:排序字段(默认:total_revenue)top_n
:显示前N个平台(默认:10)业务目标:识别畅销商品和问题商品
图表类型:水平柱状图 + 气泡图
数据模型:
class ProductSalesRankingView(models.Model):
product_id = models.CharField(max_length=100)
product_name = models.CharField(max_length=255)
platform = models.CharField(max_length=50)
# 销售指标
total_revenue = models.DecimalField(max_digits=12, decimal_places=2)
order_count = models.IntegerField()
unit_price = models.DecimalField(max_digits=10, decimal_places=2)
# 趋势指标
revenue_trend = models.JSONField() # 最近7天收入趋势
ranking_change = models.IntegerField() # 排名变化
业务目标:监控退货率变化,识别异常
图表类型:双Y轴折线图
数据模型:
class RefundRateTrendView(models.Model):
date_period = models.DateField()
platform = models.CharField(max_length=50)
# 退货指标
refund_count = models.IntegerField() # 退货单数
refund_amount = models.DecimalField(max_digits=12, decimal_places=2) # 退货金额
refund_rate = models.DecimalField(max_digits=5, decimal_places=2) # 退货率
# 基准指标
total_order_count = models.IntegerField() # 总订单数
total_order_amount = models.DecimalField(max_digits=15, decimal_places=2) # 总订单额
# 原因分析
refund_reasons = models.JSONField() # 退货原因分布
图表类型:旭日图 + 矩形树图
穿透关系:
业务目标:分析费用构成,优化成本结构
图表类型:瀑布图 + 饼图
数据模型:
class ExpenseStructureView(models.Model):
accounting_item_id = models.IntegerField() # 核算项目ID
accounting_item_name = models.CharField(max_length=100)
accounting_class = models.CharField(max_length=100) # 费用分类
# 费用指标
total_amount = models.DecimalField(max_digits=12, decimal_places=2)
amount_percentage = models.DecimalField(max_digits=5, decimal_places=2) # 占比
month_over_month = models.DecimalField(max_digits=5, decimal_places=2) # 环比
year_over_year = models.DecimalField(max_digits=5, decimal_places=2) # 同比
# 预算对比
budget_amount = models.DecimalField(max_digits=12, decimal_places=2) # 预算额度
budget_usage_rate = models.DecimalField(max_digits=5, decimal_places=2) # 预算使用率
图表类型:预测折线图
算法模型:基于时间序列的ARIMA模型或指数平滑法
业务目标:监控对账作业质量
图表类型:仪表盘 + 进度条
数据模型:
class ReconciliationQualityView(models.Model):
date_period = models.DateField()
platform = models.CharField(max_length=50)
# 对账完成情况
total_records = models.IntegerField() # 总记录数
completed_records = models.IntegerField() # 已完成记录数
completion_rate = models.DecimalField(max_digits=5, decimal_places=2) # 完成率
# 对账结果分布
success_count = models.IntegerField() # 对账成功数
failed_count = models.IntegerField() # 对账失败数
manual_count = models.IntegerField() # 手工调整数
ignored_count = models.IntegerField() # 忽略数
# 差异统计
amount_difference = models.DecimalField(max_digits=12, decimal_places=2) # 金额差异
quantity_difference = models.DecimalField(max_digits=10, decimal_places=2) # 数量差异
class Meta:
db_table = 'analysis_reconciliation_quality'
图表类型:雷达图
维度:完成率、准确率、及时率、差异率、人工介入率
业务目标:监控收入确认的完成情况,确保符合会计准则要求
图表类型:进度条 + 状态卡片组合
数据模型:
class RevenueRecognitionView(models.Model):
"""收入确认分析视图"""
date_period = models.DateField() # 会计期间
platform = models.CharField(max_length=50)
account_id = models.IntegerField()
# 收入确认状态统计
pending_recognition = models.DecimalField(max_digits=15, decimal_places=2) # 待确认收入
recognized_revenue = models.DecimalField(max_digits=15, decimal_places=2) # 已确认收入
deferred_revenue = models.DecimalField(max_digits=15, decimal_places=2) # 递延收入
adjustment_amount = models.DecimalField(max_digits=15, decimal_places=2) # 调整金额
# 确认依据统计
confirmed_by_settlement = models.DecimalField(max_digits=15, decimal_places=2) # 结算确认
confirmed_by_delivery = models.DecimalField(max_digits=15, decimal_places=2) # 发货确认
confirmed_by_acceptance = models.DecimalField(max_digits=15, decimal_places=2) # 验收确认
# 时效性指标
avg_recognition_days = models.DecimalField(max_digits=5, decimal_places=2) # 平均确认天数
overdue_count = models.IntegerField() # 超期未确认数量
class Meta:
db_table = 'analysis_revenue_recognition'
indexes = [
models.Index(fields=['date_period', 'platform']),
models.Index(fields=['account_id', 'date_period']),
]
过滤参数:
accounting_period
:会计期间(默认:当前月份)recognition_method
:确认方法(结算/发货/验收,默认:全部)status_filter
:确认状态(默认:全部状态)risk_level
:风险等级筛选(高/中/低)穿透关系:
业务目标:分析收入确认的及时性,识别流程瓶颈
图表类型:瀑布图 + 箱线图
数据模型:
class RevenueRecognitionTimingView(models.Model):
platform = models.CharField(max_length=50)
recognition_period = models.DateField()
# 时效分布
within_1day_count = models.IntegerField() # 1天内确认数量
within_3days_count = models.IntegerField() # 3天内确认数量
within_7days_count = models.IntegerField() # 7天内确认数量
overdue_count = models.IntegerField() # 超期数量
# 金额分布
within_1day_amount = models.DecimalField(max_digits=15, decimal_places=2)
within_3days_amount = models.DecimalField(max_digits=15, decimal_places=2)
within_7days_amount = models.DecimalField(max_digits=15, decimal_places=2)
overdue_amount = models.DecimalField(max_digits=15, decimal_places=2)
# 风险指标
high_risk_amount = models.DecimalField(max_digits=15, decimal_places=2) # 高风险金额
compliance_rate = models.DecimalField(max_digits=5, decimal_places=2) # 合规率
业务目标:管理和跟踪递延收入的确认进度
图表类型:时间轴 + 分组柱状图
数据模型:
class DeferredRevenueView(models.Model):
"""递延收入管理视图"""
contract_id = models.CharField(max_length=100) # 合同编号
original_amount = models.DecimalField(max_digits=12, decimal_places=2) # 原始金额
deferred_amount = models.DecimalField(max_digits=12, decimal_places=2) # 递延金额
recognized_amount = models.DecimalField(max_digits=12, decimal_places=2) # 已确认金额
remaining_amount = models.DecimalField(max_digits=12, decimal_places=2) # 剩余金额
# 确认计划
planned_recognition_date = models.DateField() # 计划确认日期
actual_recognition_date = models.DateField(null=True) # 实际确认日期
recognition_trigger = models.CharField(max_length=50) # 确认触发条件
# 风险评估
risk_level = models.CharField(max_length=20) # 风险等级
risk_reason = models.TextField(null=True) # 风险原因
业务目标:监控增值税、企业所得税等税务数据的合规性
图表类型:仪表盘 + 预警指示器
数据模型:
class TaxComplianceView(models.Model):
"""税务合规监控视图"""
tax_period = models.DateField() # 税务期间
platform = models.CharField(max_length=50)
# 增值税相关
vat_taxable_amount = models.DecimalField(max_digits=15, decimal_places=2) # 应税销售额
vat_tax_amount = models.DecimalField(max_digits=12, decimal_places=2) # 增值税额
vat_rate = models.DecimalField(max_digits=5, decimal_places=4) # 增值税率
# 企业所得税相关
taxable_income = models.DecimalField(max_digits=15, decimal_places=2) # 应纳税所得额
income_tax_amount = models.DecimalField(max_digits=12, decimal_places=2) # 企业所得税
# 合规性指标
tax_compliance_score = models.DecimalField(max_digits=5, decimal_places=2) # 合规得分
exception_count = models.IntegerField() # 异常数量
auto_calc_accuracy = models.DecimalField(max_digits=5, decimal_places=2) # 自动计算准确率
# 风险预警
risk_flags = models.JSONField(default=list) # 风险标记
audit_trail = models.JSONField(default=dict) # 审计轨迹
class Meta:
db_table = 'analysis_tax_compliance'
业务目标:生成标准的会计科目余额表,支持财务报表编制
图表类型:树形表格 + 钻取表
数据模型:
class AccountBalanceView(models.Model):
"""会计科目余额表视图"""
accounting_period = models.DateField() # 会计期间
account_code = models.CharField(max_length=50) # 科目代码
account_name = models.CharField(max_length=100) # 科目名称
account_level = models.IntegerField() # 科目级次
parent_account_code = models.CharField(max_length=50, null=True) # 上级科目
# 余额信息
opening_balance = models.DecimalField(max_digits=15, decimal_places=2) # 期初余额
debit_amount = models.DecimalField(max_digits=15, decimal_places=2) # 借方发生额
credit_amount = models.DecimalField(max_digits=15, decimal_places=2) # 贷方发生额
ending_balance = models.DecimalField(max_digits=15, decimal_places=2) # 期末余额
# 业务分析
platform_breakdown = models.JSONField(default=dict) # 平台分解
transaction_count = models.IntegerField() # 交易笔数
avg_transaction_amount = models.DecimalField(max_digits=12, decimal_places=2) # 平均交易金额
class Meta:
db_table = 'analysis_account_balance'
indexes = [
models.Index(fields=['accounting_period', 'account_code']),
models.Index(fields=['account_level', 'parent_account_code']),
]
业务目标:监控财务内控制度的执行情况,识别潜在风险
图表类型:风险矩阵 + 趋势图
数据模型:
class InternalControlRiskView(models.Model):
"""内控风险监控视图"""
risk_date = models.DateField()
risk_category = models.CharField(max_length=50) # 风险类别
risk_description = models.TextField() # 风险描述
# 风险评估
probability = models.DecimalField(max_digits=3, decimal_places=2) # 发生概率
impact_level = models.IntegerField() # 影响程度 1-5
risk_score = models.DecimalField(max_digits=5, decimal_places=2) # 风险得分
# 控制措施
control_effectiveness = models.CharField(max_length=20) # 控制有效性
control_frequency = models.CharField(max_length=20) # 控制频率
last_review_date = models.DateField() # 最后检查日期
# 处理状态
mitigation_plan = models.TextField(null=True) # 缓解计划
responsible_person = models.CharField(max_length=100) # 责任人
target_resolution_date = models.DateField() # 目标解决日期
class Meta:
db_table = 'analysis_internal_control_risk'
业务目标:将银行流水与业务数据进行对账,确保资金安全
图表类型:双轴对比图 + 差异分析表
数据模型:
class BankReconciliationView(models.Model):
"""银行流水对账视图"""
reconciliation_date = models.DateField()
bank_account = models.CharField(max_length=100) # 银行账户
platform = models.CharField(max_length=50)
# 银行流水汇总
bank_total_income = models.DecimalField(max_digits=15, decimal_places=2) # 银行入账总额
bank_total_expense = models.DecimalField(max_digits=15, decimal_places=2) # 银行出账总额
bank_net_amount = models.DecimalField(max_digits=15, decimal_places=2) # 银行净额
# 业务数据汇总
business_settlement_amount = models.DecimalField(max_digits=15, decimal_places=2) # 业务结算金额
business_fee_amount = models.DecimalField(max_digits=15, decimal_places=2) # 业务费用金额
business_net_amount = models.DecimalField(max_digits=15, decimal_places=2) # 业务净额
# 对账结果
reconciled_amount = models.DecimalField(max_digits=15, decimal_places=2) # 已对账金额
unreconciled_amount = models.DecimalField(max_digits=15, decimal_places=2) # 未对账金额
reconciliation_rate = models.DecimalField(max_digits=5, decimal_places=2) # 对账率
# 异常分析
timing_differences = models.DecimalField(max_digits=12, decimal_places=2) # 时间性差异
amount_differences = models.DecimalField(max_digits=12, decimal_places=2) # 金额差异
missing_transactions = models.IntegerField() # 缺失交易数
class Meta:
db_table = 'analysis_bank_reconciliation'
业务目标:分析资金在各个环节的流转情况
图表类型:桑基图 + 流程图
数据模型:
class CashFlowAnalysisView(models.Model):
"""资金流向分析视图"""
flow_date = models.DateField()
flow_type = models.CharField(max_length=50) # 流向类型
# 流向节点
source_account = models.CharField(max_length=100) # 来源账户
target_account = models.CharField(max_length=100) # 目标账户
flow_amount = models.DecimalField(max_digits=15, decimal_places=2) # 流转金额
# 流转特征
flow_frequency = models.IntegerField() # 流转频次
avg_flow_amount = models.DecimalField(max_digits=12, decimal_places=2) # 平均流转金额
flow_velocity = models.DecimalField(max_digits=5, decimal_places=2) # 资金周转速度
# 风险指标
concentration_risk = models.DecimalField(max_digits=5, decimal_places=2) # 集中度风险
liquidity_risk = models.DecimalField(max_digits=5, decimal_places=2) # 流动性风险
业务目标:分析从采购到销售的全链路成本构成
图表类型:成本瀑布图 + 成本结构饼图
数据模型:
class FullChainCostView(models.Model):
"""全链路成本分析视图"""
cost_period = models.DateField()
product_category = models.CharField(max_length=100)
platform = models.CharField(max_length=50)
# 直接成本
purchase_cost = models.DecimalField(max_digits=12, decimal_places=2) # 采购成本
logistics_cost = models.DecimalField(max_digits=12, decimal_places=2) # 物流成本
packaging_cost = models.DecimalField(max_digits=12, decimal_places=2) # 包装成本
# 平台费用
platform_commission = models.DecimalField(max_digits=12, decimal_places=2) # 平台佣金
advertising_cost = models.DecimalField(max_digits=12, decimal_places=2) # 广告费用
payment_fee = models.DecimalField(max_digits=12, decimal_places=2) # 支付手续费
# 间接成本
storage_cost = models.DecimalField(max_digits=12, decimal_places=2) # 仓储成本
labor_cost = models.DecimalField(max_digits=12, decimal_places=2) # 人工成本
overhead_cost = models.DecimalField(max_digits=12, decimal_places=2) # 管理费用
# 成本分析
total_cost = models.DecimalField(max_digits=12, decimal_places=2) # 总成本
unit_cost = models.DecimalField(max_digits=10, decimal_places=2) # 单位成本
cost_margin = models.DecimalField(max_digits=5, decimal_places=2) # 成本利润率
class Meta:
db_table = 'analysis_full_chain_cost'
业务目标:实时监控各维度毛利率情况
图表类型:仪表盘 + 热力图
数据模型:
class GrossProfitAnalysisView(models.Model):
"""毛利分析视图"""
analysis_date = models.DateField()
dimension_type = models.CharField(max_length=50) # 分析维度(平台/品类/商品)
dimension_value = models.CharField(max_length=100) # 维度值
# 收入成本
gross_revenue = models.DecimalField(max_digits=15, decimal_places=2) # 总收入
total_cost = models.DecimalField(max_digits=15, decimal_places=2) # 总成本
gross_profit = models.DecimalField(max_digits=15, decimal_places=2) # 毛利润
gross_margin = models.DecimalField(max_digits=5, decimal_places=2) # 毛利率
# 趋势分析
margin_trend = models.JSONField() # 毛利率趋势
benchmark_margin = models.DecimalField(max_digits=5, decimal_places=2) # 基准毛利率
margin_variance = models.DecimalField(max_digits=5, decimal_places=2) # 毛利率偏差
# 预警指标
margin_alert_level = models.CharField(max_length=20) # 预警级别
improvement_suggestion = models.TextField(null=True) # 改善建议
class Meta:
db_table = 'analysis_gross_profit'
—
算法:基于孤立森林(Isolation Forest)算法
检测维度:
数据模型:
class AnomalyDetectionResult(models.Model):
detection_date = models.DateTimeField()
anomaly_type = models.CharField(max_length=50) # 异常类型
severity_level = models.IntegerField() # 严重级别 1-5
# 异常数据
source_table = models.CharField(max_length=100) # 来源表
source_id = models.IntegerField() # 来源记录ID
anomaly_score = models.DecimalField(max_digits=5, decimal_places=4) # 异常得分
# 分析结果
description = models.TextField() # 异常描述
suggested_action = models.TextField() # 建议操作
# 处理状态
status = models.CharField(max_length=20, default='pending') # 处理状态
processed_by = models.IntegerField(null=True) # 处理人
processed_at = models.DateTimeField(null=True) # 处理时间
模型类型:时间序列预测 + 机器学习
预测维度:
对比维度:
—
仪表盘总览
↓ (点击指标卡片)
趋势分析图表
↓ (点击数据点)
明细统计表格
↓ (点击行记录)
原始账单详情
↓ (点击关联字段)
关联业务数据
表名:SalesRevenueDetailView
字段设计:
# 核心业务字段
order_no = models.CharField(max_length=100) # 订单号
order_time = models.DateTimeField() # 下单时间
settlement_time = models.DateTimeField() # 结算时间
platform = models.CharField(max_length=50) # 平台
account_name = models.CharField(max_length=100) # 账户名称
# 商品信息
product_id = models.CharField(max_length=100)
product_name = models.CharField(max_length=255)
product_quantity = models.IntegerField()
# 金额信息
gross_amount = models.DecimalField(max_digits=12, decimal_places=2) # 总收入
fee_amount = models.DecimalField(max_digits=12, decimal_places=2) # 总费用
settlement_amount = models.DecimalField(max_digits=12, decimal_places=2) # 结算金额
# 对账状态
reconciliation_status = models.CharField(max_length=20)
reconciliation_result = models.CharField(max_length=20)
# 操作字段
actions = models.JSONField() # 可执行操作列表
过滤功能:
排序功能:支持所有数值字段和时间字段排序
导出功能:支持Excel/CSV格式导出,包含当前筛选条件
业务目标:从费用汇总穿透到具体费用项目
表设计:
class ExpenseDetailView(models.Model):
# 费用基本信息
expense_date = models.DateField()
accounting_item_name = models.CharField(max_length=100)
amount = models.DecimalField(max_digits=12, decimal_places=2)
# 关联信息
related_order_no = models.CharField(max_length=100, null=True)
platform = models.CharField(max_length=50)
account_name = models.CharField(max_length=100)
# 来源追溯
source_bill_file = models.CharField(max_length=255) # 来源文件
source_row_number = models.IntegerField() # 来源行号
# 对账信息
reconciliation_status = models.CharField(max_length=20)
reconciliation_result = models.CharField(max_length=20)
# 审核信息
verified_by = models.CharField(max_length=100, null=True)
verified_at = models.DateTimeField(null=True)
—
关联路径:
分析图表数据
↓ (source_model + source_id)
ReBaseModel (对账数据)
↓ (source_model + source_id)
BillXxxSales (原始账单)
↓ (bill_file_id)
BillFile (账单文件)
实现方案:
# 在分析视图中添加关联字段
class AnalysisBaseView(models.Model):
# 原始数据追溯
source_model = models.CharField(max_length=100)
source_id = models.BigIntegerField()
bill_file_id = models.IntegerField()
# 关联查询方法
def get_source_record(self):
"""获取原始账单记录"""
model_class = apps.get_model('bill', self.source_model)
return model_class.objects.get(id=self.source_id)
def get_bill_file(self):
"""获取账单文件信息"""
return BillFile.objects.get(id=self.bill_file_id)
class Meta:
abstract = True
indexes = [
models.Index(fields=['source_model', 'source_id']),
models.Index(fields=['bill_file_id']),
]
关联字段:order_no
(订单号)
业务场景:
关联字段:related_order_no
(关联订单号)
业务场景:
关联字段:accounting_voucher_no
(会计凭证号)
业务场景:
销售订单 (SalesRevenueModel)
↓ (order_no)
收入确认记录 (RevenueRecognitionRecord)
↓ (voucher_no)
会计凭证 (AccountingVoucher)
↓ (account_code)
会计科目余额 (AccountBalance)
实现方案:
class RevenueRecognitionRecord(models.Model):
"""收入确认记录模型"""
# 业务关联
sales_revenue = models.ForeignKey(
'reconciliation.SalesRevenueModel',
on_delete=models.CASCADE,
verbose_name='关联销售收入'
)
# 确认信息
recognition_date = models.DateField(verbose_name='确认日期')
recognition_amount = models.DecimalField(max_digits=12, decimal_places=2)
recognition_method = models.CharField(max_length=50) # 确认方法
recognition_criteria = models.TextField() # 确认依据
# 会计处理
voucher_no = models.CharField(max_length=100, null=True) # 凭证号
debit_account = models.CharField(max_length=50) # 借方科目
credit_account = models.CharField(max_length=50) # 贷方科目
# 合规性字段
compliance_check = models.BooleanField(default=False) # 合规性检查
audit_trail = models.JSONField(default=dict) # 审计轨迹
approval_status = models.CharField(max_length=20) # 审批状态
class Meta:
db_table = 'revenue_recognition_record'
indexes = [
models.Index(fields=['recognition_date', 'sales_revenue']),
models.Index(fields=['voucher_no']),
]
class TaxCalculationRecord(models.Model):
"""税务计算记录模型"""
# 业务数据关联
source_model = models.CharField(max_length=100) # 来源模型
source_id = models.BigIntegerField() # 来源ID
# 税务信息
tax_period = models.DateField() # 税务期间
tax_type = models.CharField(max_length=50) # 税种
tax_rate = models.DecimalField(max_digits=5, decimal_places=4) # 税率
taxable_amount = models.DecimalField(max_digits=15, decimal_places=2) # 计税金额
tax_amount = models.DecimalField(max_digits=12, decimal_places=2) # 税额
# 合规性信息
calculation_method = models.CharField(max_length=100) # 计算方法
tax_policy_reference = models.CharField(max_length=255) # 税收政策依据
declaration_status = models.CharField(max_length=20) # 申报状态
class Meta:
db_table = 'tax_calculation_record'
—
class ChartConfiguration(models.Model):
"""图表配置模型"""
chart_id = models.CharField(max_length=100, unique=True) # 图表唯一标识
chart_name = models.CharField(max_length=200) # 图表名称
chart_type = models.CharField(max_length=50) # 图表类型
# 数据配置
data_source = models.CharField(max_length=100) # 数据源
default_filters = models.JSONField(default=dict) # 默认筛选条件
available_metrics = models.JSONField(default=list) # 可选指标
available_dimensions = models.JSONField(default=list) # 可选维度
# 显示配置
default_metrics = models.JSONField(default=list) # 默认显示指标
chart_options = models.JSONField(default=dict) # 图表显示选项
# 穿透配置
drill_down_config = models.JSONField(default=dict) # 穿透配置
# 权限配置
required_permissions = models.JSONField(default=list) # 所需权限
class Meta:
db_table = 'chart_configuration'
class FilterConfiguration(models.Model):
"""筛选器配置"""
filter_id = models.CharField(max_length=100)
filter_name = models.CharField(max_length=100)
filter_type = models.CharField(max_length=50) # date_range, select, multi_select
# 数据源配置
data_source = models.CharField(max_length=100)
value_field = models.CharField(max_length=50)
label_field = models.CharField(max_length=50)
# 默认值配置
default_value = models.JSONField(null=True)
# 级联配置
parent_filter = models.CharField(max_length=100, null=True)
cascade_field = models.CharField(max_length=50, null=True)
class RevenueRecognitionRule(models.Model):
"""收入确认规则配置"""
rule_id = models.CharField(max_length=100, unique=True)
rule_name = models.CharField(max_length=200)
platform = models.CharField(max_length=50) # 适用平台
business_type = models.CharField(max_length=50) # 业务类型
# 确认条件
recognition_trigger = models.CharField(max_length=50) # 确认触发条件
trigger_conditions = models.JSONField() # 触发条件详情
# 会计处理
debit_account_template = models.CharField(max_length=50) # 借方科目模板
credit_account_template = models.CharField(max_length=50) # 贷方科目模板
voucher_template = models.JSONField() # 凭证模板
# 合规性配置
accounting_standard = models.CharField(max_length=50) # 会计准则
approval_required = models.BooleanField(default=True) # 是否需要审批
auto_process = models.BooleanField(default=False) # 是否自动处理
class Meta:
db_table = 'revenue_recognition_rule'
class TaxComplianceRule(models.Model):
"""税务合规规则配置"""
rule_id = models.CharField(max_length=100, unique=True)
tax_type = models.CharField(max_length=50) # 税种
applicable_region = models.CharField(max_length=100) # 适用地区
# 税率配置
tax_rates = models.JSONField() # 税率配置(支持阶梯税率)
exemption_conditions = models.JSONField() # 免税条件
# 计算规则
calculation_formula = models.TextField() # 计算公式
rounding_rule = models.CharField(max_length=50) # 取整规则
# 申报要求
declaration_frequency = models.CharField(max_length=50) # 申报频率
declaration_deadline = models.CharField(max_length=100) # 申报期限
required_documents = models.JSONField() # 所需单据
class Meta:
db_table = 'tax_compliance_rule'
—
实时指标:最近24小时数据实时计算
准实时指标:最近7天数据每小时计算
历史指标:历史数据每日凌晨计算
# Redis缓存键设计
CACHE_KEYS = {
'daily_sales_trend': 'chart:sales_trend:daily:{date_range}:{platforms}',
'platform_comparison': 'chart:platform_comp:{period}:{accounts}',
'product_ranking': 'chart:product_rank:{platform}:{date_range}:{top_n}',
}
# 缓存时间设置
CACHE_TIMEOUT = {
'realtime': 300, # 5分钟
'near_realtime': 3600, # 1小时
'daily': 86400, # 24小时
}
复合索引设计:
-- 销售收入趋势查询索引
CREATE INDEX idx_sales_revenue_trend ON analysis_sales_revenue_trend
(date_period, platform, account_id);
-- 费用结构分析索引
CREATE INDEX idx_expense_structure ON analysis_expense_structure
(accounting_class, date_period);
-- 对账质量查询索引
CREATE INDEX idx_reconciliation_quality ON analysis_reconciliation_quality
(platform, date_period, completion_rate);
—
功能特性:
订阅类型:
告警规则示例:
class AlertRule(models.Model):
rule_name = models.CharField(max_length=100)
metric_name = models.CharField(max_length=100) # 监控指标
threshold_type = models.CharField(max_length=20) # 阈值类型:gt/lt/eq
threshold_value = models.DecimalField(max_digits=12, decimal_places=2)
# 检查频率
check_frequency = models.CharField(max_length=20) # hourly/daily/weekly
# 通知配置
notification_channels = models.JSONField() # 通知渠道:email/sms/webhook
recipients = models.JSONField() # 接收人列表
导出格式:Excel、CSV、PDF报告
API接口:RESTful API支持第三方系统集成
数据权限:基于角色的数据访问控制
—
Load Balancer
↓
API Gateway
↓
Application Servers (Django)
↓
Cache Layer (Redis)
↓
Database Layer (PostgreSQL + ClickHouse)
通过以上设计,可以构建一个功能完整、性能优良、易于扩展的电商数据对账分析图表系统,为业务决策提供强有力的数据支撑。
—
核心合规要点:
实施监控:
class ComplianceCheckList(models.Model):
"""合规检查清单"""
check_date = models.DateField()
check_type = models.CharField(max_length=50) # 检查类型
business_scope = models.CharField(max_length=100) # 业务范围
# 检查项目
check_items = models.JSONField() # 检查项目清单
passed_items = models.JSONField() # 通过项目
failed_items = models.JSONField() # 未通过项目
# 结果统计
total_checks = models.IntegerField() # 总检查项
passed_checks = models.IntegerField() # 通过项数
compliance_rate = models.DecimalField(max_digits=5, decimal_places=2) # 合规率
# 风险评估
risk_level = models.CharField(max_length=20) # 风险等级
remediation_required = models.BooleanField() # 是否需要整改
remediation_plan = models.TextField(null=True) # 整改计划
验证规则:
class VATCalculationEngine:
"""增值税计算引擎"""
def calculate_vat(self, sales_data, tax_config):
"""
增值税自动计算
Args:
sales_data: 销售数据
tax_config: 税务配置
Returns:
计算结果包含:应税销售额、增值税额、税率适用情况
"""
result = {
'taxable_amount': 0,
'vat_amount': 0,
'tax_rate': 0,
'exemption_amount': 0, # 免税金额
'special_items': [] # 特殊项目
}
# 按商品类别和地区计算不同税率
for item in sales_data:
rate = self.get_applicable_rate(item, tax_config)
vat = item['amount'] * rate / (1 + rate)
result['vat_amount'] += vat
return result
def validate_calculation(self, calculated_result, declared_result):
"""验证计算结果与申报结果的一致性"""
tolerance = 0.01 # 容差范围
amount_diff = abs(calculated_result['vat_amount'] - declared_result['vat_amount'])
if amount_diff > tolerance:
return {
'status': 'failed',
'difference': amount_diff,
'risk_level': 'high' if amount_diff > 1000 else 'medium'
}
return {'status': 'passed'}
自动化流程:
class InternalControlMonitor:
"""财务内控监控系统"""
def check_segregation_of_duties(self, transaction_data):
"""职责分离检查"""
violations = []
for transaction in transaction_data:
# 检查同一人是否同时具有不相容职责
if self.has_incompatible_roles(transaction['operator']):
violations.append({
'transaction_id': transaction['id'],
'violation_type': 'segregation_of_duties',
'description': '同一操作员执行不相容职责'
})
return violations
def check_authorization_limits(self, approval_data):
"""授权额度检查"""
violations = []
for approval in approval_data:
limit = self.get_authorization_limit(approval['approver'])
if approval['amount'] > limit:
violations.append({
'approval_id': approval['id'],
'violation_type': 'authorization_exceeded',
'amount': approval['amount'],
'limit': limit
})
return violations
def check_supporting_documents(self, voucher_data):
"""支撑单据完整性检查"""
violations = []
for voucher in voucher_data:
required_docs = self.get_required_documents(voucher['type'])
attached_docs = voucher.get('attachments', [])
missing_docs = set(required_docs) - set(attached_docs)
if missing_docs:
violations.append({
'voucher_id': voucher['id'],
'violation_type': 'missing_documents',
'missing_docs': list(missing_docs)
})
return violations
轨迹记录要求:
class AccountingPolicyChecker:
"""会计政策一致性检查器"""
def check_revenue_recognition_consistency(self, current_period, prior_period):
"""收入确认政策一致性检查"""
inconsistencies = []
# 比较确认时点政策
if current_period['recognition_timing'] != prior_period['recognition_timing']:
inconsistencies.append({
'policy_type': 'revenue_recognition_timing',
'current': current_period['recognition_timing'],
'prior': prior_period['recognition_timing'],
'impact_assessment': self.assess_policy_change_impact()
})
# 比较计量方法
if current_period['measurement_method'] != prior_period['measurement_method']:
inconsistencies.append({
'policy_type': 'revenue_measurement',
'requires_disclosure': True,
'retroactive_adjustment': True
})
return inconsistencies
def validate_expense_matching(self, revenue_data, expense_data):
"""费用配比原则检查"""
matching_issues = []
for revenue_item in revenue_data:
related_expenses = self.get_related_expenses(revenue_item, expense_data)
# 检查时间配比
if not self.check_timing_match(revenue_item, related_expenses):
matching_issues.append({
'revenue_id': revenue_item['id'],
'issue_type': 'timing_mismatch',
'description': '收入与费用确认期间不匹配'
})
return matching_issues
核验内容:
class ComplianceRiskAlert:
"""合规风险预警系统"""
def monitor_realtime_risks(self):
"""实时风险监控"""
alerts = []
# 收入确认异常监控
revenue_anomalies = self.detect_revenue_anomalies()
if revenue_anomalies:
alerts.extend(self.generate_revenue_alerts(revenue_anomalies))
# 税务风险监控
tax_risks = self.assess_tax_risks()
if tax_risks:
alerts.extend(self.generate_tax_alerts(tax_risks))
# 内控缺陷监控
control_deficiencies = self.detect_control_deficiencies()
if control_deficiencies:
alerts.extend(self.generate_control_alerts(control_deficiencies))
return alerts
def calculate_risk_score(self, risk_factors):
"""计算综合风险得分"""
weights = {
'revenue_risk': 0.3,
'tax_risk': 0.25,
'control_risk': 0.25,
'compliance_risk': 0.2
}
total_score = sum(
risk_factors.get(factor, 0) * weight
for factor, weight in weights.items()
)
return min(total_score, 100) # 最高100分
处理机制:
数据包内容:
class AuditTrailVisualizer:
"""审计轨迹可视化"""
def generate_transaction_flow(self, transaction_id):
"""生成交易流程图"""
flow_data = {
'nodes': [], # 流程节点
'edges': [], # 连接关系
'timeline': [] # 时间线
}
# 获取交易的完整生命周期
lifecycle = self.get_transaction_lifecycle(transaction_id)
for step in lifecycle:
flow_data['nodes'].append({
'id': step['id'],
'label': step['description'],
'timestamp': step['timestamp'],
'operator': step['operator'],
'documents': step['supporting_docs']
})
return flow_data
def create_compliance_dashboard(self, period):
"""创建合规性仪表盘"""
dashboard_data = {
'compliance_score': self.calculate_compliance_score(period),
'risk_distribution': self.get_risk_distribution(period),
'trend_analysis': self.analyze_compliance_trends(period),
'action_items': self.get_pending_actions(period)
}
return dashboard_data
通过这套完善的财务合规体系设计,可以确保电商业务在快速发展的同时,始终保持高水平的财务合规性,为企业的可持续发展提供坚实保障。
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卢剑航 13760755942
数据集成专家 拥有十多年丰富的经验,擅长ERP、MES、数据中台、营销云中台等集成。他能够根据客户需求,为其提供一站式集成解决方案,帮助企业快速实现各类系统数据集成服务。
何海波 18175716035
数据集成顾问 轻易云的技术专家,拥有丰富的数据集成规划经验。他能够为客户提供专业、全面的数据集成规划方案,熟练掌握多种集成技术和工具,帮助企业在数据集成领域得到长远发展。
黄宏棵 13286997615
数据集成顾问 资深系统集成顾问,专长于ERP、电商OMS、钉钉及CRM系统。他能提供高效的集成方案,优化企业运营流程,提升业务效率和决策智能化。