docs: add AGENTS.md documentation files

Add comprehensive AGENTS.md documentation files across the project structure to document the agent architecture and capabilities.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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# Modules Knowledge Base
**Scope:** `VBA/Modules/` - Procedural workflows and entry points
## OVERVIEW
4 modules: `MainModule` (main workflow), `BIPUploadModule` (upload results), `ComponentInventoryCheckModule` (inventory check), `TestModule` (testing utilities).
## STRUCTURE
```
Modules/
├── MainModule.bas # Main entry point + orchestration
├── BIPUploadModule.bas # Upload to BIP system
├── ComponentInventoryCheckModule.bas # Component inventory verification
└── TestModule.bas # Testing utilities
```
## WHERE TO LOOK
| Task | Location | Notes |
|------|----------|-------|
| Run BOM extraction | `MainModule.bas` | `ProcessProductModels()` |
| Upload results | `BIPUploadModule.bas` | BIP system integration |
| Check inventory | `ComponentInventoryCheckModule.bas` | Component count verification |
| Test parsing | `TestModule.bas` | Unit test utilities |
## CODE MAP
### MainModule
| Function | Role |
|----------|------|
| `ProcessProductModels()` | Main entry point, orchestrates workflow |
| `ProcessSingleModel()` | Process one model, collect output |
| `CreateOutputRowArray()` | Build row data array |
| `WriteBatchData()` | Bulk write to worksheet |
| `GetInputSheet()` | Get `产品订单` sheet |
| `GetBomSheet()` | Get `平台配置清单` sheet |
| `CreateOutputSheet()` | Create/reset `BOM 提取结果` |
### BIPUploadModule
| Function | Role |
|----------|------|
| `UploadToBIP()` | Upload BOM results to BIP system |
### ComponentInventoryCheckModule
| Function | Role |
|----------|------|
| `CheckComponentInventory()` | Verify component counts match |
## CONVENTIONS
### Module Structure
```vba
Option Explicit
' Constants
Private Const CONDITION_CONFIG = "azxs安装形式|bkxs表壳形式|..."
' Public entry points
Public Sub MainEntryPoint()
On Error GoTo ErrorHandler
' Orchestration
Exit Sub
ErrorHandler:
MsgBox "Error: " & Err.Description
End Sub
' Private helpers
Private Sub HelperFunction()
' Implementation
End Sub
```
### Workflow Pattern
1. Get input sheet (`产品订单`)
2. Get BOM sheet (`平台配置清单`)
3. Create output sheet (`BOM 提取结果`)
4. Initialize `BomExtractor`, load data
5. Loop through models, call `ProcessSingleModel()`
6. Batch write results
7. Format output, show message
### Batch Output Pattern
```vba
' Collect in Collection
Dim outputData As Collection
Set outputData = New Collection
' Add arrays
outputData.Add CreateOutputRowArray(...)
' Convert to 2D array
ReDim resultData(1 To rowCount, 1 To colCount)
' Fill array...
' Single write
ws.Range("A2").Resize(rowCount, colCount).Value = resultData
```
## ANTI-PATTERNS (THIS PROJECT)
- **NEVER** hardcode sheet names — use `GetInputSheet()`, `GetBomSheet()` helpers
- **NEVER** write row-by-row — always batch write via 2D array
- **NEVER** skip error handling — all public subs use `On Error GoTo ErrorHandler`
- **DO NOT** change output column order — must match header definition in `WriteOutputHeader()`
## UNIQUE STYLES
### Condition Config Constant
```vba
Private Const CONDITION_CONFIG = "azxs安装形式|bkxs表壳形式|gclj过程连接|jycz接液材质|lcfw量程范围|fjgn附加功能"
```
Format: `code,label|code,label|...` — parsed dynamically for header generation.
### Component Priority Flag
From column E of input sheet:
- "是" (or "1", "TRUE") → include all categories
- "否" (or "0", "FALSE") → exclude "部件" (components) category
### Output Row Structure
```
Column 1: 生产订单号 (order number)
Column 2: 产品型号 (full model)
Columns 3-8: 6 conditions (azxs, bkxs, gclj, jycz, lcfw, fjgn)
Columns 9-16: BOM fields (行号模块代号名称数量类别66 代码,备注)
```
## NOTES
### Output Sheet Formatting
- Row 1: Bold, gray background (RGB 217,217,217), centered
- Data starts at row 2
- AutoFit columns (commented out in current code)
### Error Messages
- Parse failure: `"解析失败:" + error`
- No match: `"未匹配到任何物料"`
- Multi-match: `"类别[X] 匹配到多条物料(N 条)"` — outputs all but flags
### Performance
Batch write via `Range.Value = resultData` is 10-100x faster than cell-by-cell writes for large datasets.