114 lines
5.4 KiB
Markdown
114 lines
5.4 KiB
Markdown
# Phase 1: Core P&L Functions - Context
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**Gathered:** 2026-03-21
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**Status:** Ready for planning
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<domain>
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## Phase Boundary
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在 `internal/service/finance/` 包下新增两个函数 `QueryUserProfitLoss` 和 `QueryActivityProfitLoss`，接收可选参数（资产类型、维度 ID、时间范围），返回含汇总 + 明细的 ProfitLossResult。正确处理 game-pass 互斥、退款排除、已作废库存排除、历史数据兼容等边界情况。
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</domain>
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<decisions>
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## Implementation Decisions
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### Revenue Attribution Rules
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- **D-01:** 一个订单只对应一个活动（1:1 关系），不需要比例分摊逻辑（跳过 dashboard 中的 two-level subquery 方案）
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- **D-02:** Game-pass 收入按 draw_count × activity_unit_price 计算，每个活动独立计算
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- **D-03:** 用户维度直接汇总用户所有订单，不做跨活动分摊
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### Function Signature Design
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- **D-04:** 两个独立的参数结构体：`UserProfitLossParams` 和 `ActivityProfitLossParams`（不共享）
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- **D-05:** 返回 `(*ProfitLossResult, error)` — Go 标准模式，error 时 result 为 nil
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- **D-06:** ProfitLossResult 包含汇总（TotalResult）+ 明细切片（`[]ProfitLossDetail`，每个元素含 UserID/ActivityID 字段）
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- **D-07:** 参数全部可选：空 []int64 = 统计全部，nil time = 不限时间，AssetType=0 = 全部类型
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### Cost Source Mapping
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- **D-08:** 成本数据分布在多张表：user_inventory（实物/道具卡）、user_points_ledger（积分）、user_coupon_ledger（优惠券）、fragment_synthesis_logs（碎片，Phase 2）
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- **D-09:** 实物商品/道具卡成本以 `user_inventory.value_cents` 为准（单一真相源），不需要 fallback chain
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- **D-10:** 积分通过 system_configs 表中的固定汇率换算为金额（如 100积分 = 1元）
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- **D-11:** 优惠券成本 = 优惠券面值（discount_amount）
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### Claude's Discretion
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- 具体 SQL 查询结构和 GORM 调用方式
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- ProfitLossDetail 内部字段的精确命名
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- fan-out 查询的拆分粒度和合并策略
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- 单元测试的具体用例选择
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</decisions>
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<specifics>
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## Specific Ideas
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- 订单与活动是 1:1 关系，简化了活动维度的收入归属查询（不需要 dashboard 中复杂的双层子查询）
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- 复用 `finance.ClassifyOrderSpending` 做 game-pass / 现金收入分类，保持与 dashboard 计算一致
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- 积分汇率存在 system_configs KV 表中，需要在查询时动态读取
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</specifics>
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<canonical_refs>
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## Canonical References
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### Finance primitives (MUST reuse)
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- `internal/service/finance/profit_metrics.go` — ClassifyOrderSpending, IsGamePassOrder, ComputeGamePassValue, ComputePrizeCostWithMultiplier, ComputeProfit
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- `internal/service/finance/profit_metrics_test.go` — Existing test patterns for finance functions
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### Existing dashboard implementations (reference patterns, don't copy)
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- `internal/api/admin/dashboard_activity.go` — Activity-level P&L query pattern, cost query with item-card multiplier, game-pass value calculation
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- `internal/api/admin/dashboard_user_spending.go` — User-dimension spending aggregation pattern
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- `internal/api/admin/users_profit_loss.go` — User P&L trend, per-user details
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### Data models
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- `internal/repository/mysql/model/*.gen.go` — GORM models for orders, user_inventory, user_points_ledger, user_coupon_ledger, system_configs, activities
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- `internal/repository/mysql/mysql.go` — Repo interface, GetDbR()/GetDbW() split
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### Research findings
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- `.planning/research/PITFALLS.md` — 6 critical pitfalls with prevention strategies
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- `.planning/research/STACK.md` — Query patterns and SQLite test compatibility notes
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- `.planning/research/FEATURES.md` — Feature prioritization and dependency map
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</canonical_refs>
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<code_context>
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## Existing Code Insights
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### Reusable Assets
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- `finance.ClassifyOrderSpending()` — Unified spending classification (game-pass vs cash)
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- `finance.IsGamePassOrder()` — Three-condition game-pass detection
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- `finance.ComputeGamePassValue()` — draw_count × activity_price
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- `finance.ComputePrizeCostWithMultiplier()` — Base cost × item-card multiplier
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- `finance.ComputeProfit()` — profit + profit_rate calculation
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- `finance.NormalizeMultiplierX1000()` — Multiplier normalization
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### Established Patterns
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- **Service constructor:** `New(logger, db) → Service` with injected logger and repo
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- **Fan-out queries:** Multiple independent `db.Table().Scan()` calls, merge in Go via `map[int64]*Result`
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- **Read-only routing:** `repo.GetDbR()` for all read operations
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- **CAST(AS SIGNED):** Required for any SUM containing division (MySQL returns Decimal)
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- **Void exclusion:** `user_inventory.status IN (1, 3)` AND `remark NOT LIKE '%void%'`
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- **Refund exclusion:** `orders.status = 2` with legacy escape: `OR order_id = 0 OR order_id IS NULL`
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### Integration Points
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- Constructor receives `mysql.Repo` — uses `GetDbR()` only
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- Constructor receives `logger.CustomLogger` — project-standard logger
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- Result types defined in same package — callers import `finance.ProfitLossResult`
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- system_configs table for points exchange rate lookup
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</code_context>
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<deferred>
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## Deferred Ideas
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- Per-asset-type breakdown (Phase 2) — struct field defined here as empty slice, populated in Phase 2
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- Fragment synthesis cost integration (Phase 2) — AST-03
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- Redis caching wrapper (v2)
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- Admin API endpoints for frontend (v2)
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</deferred>
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---
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*Phase: 01-core-pnl-functions*
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*Context gathered: 2026-03-21*
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