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# Stock Consolidation Operations Guide
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This guide explains how to use the warehouse consolidation commands to fix misplaced PAKAN/OVK stocks and migrate them to the correct farm-level warehouses.
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## Overview
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The stock consolidation system handles two main scenarios:
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| Case | Scenario | Root Cause | Solution |
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|------|----------|-----------|----------|
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| **Case B** | Invalid kandang references | Purchases pointed to warehouses with location mismatch | Move unused stocks to correct farm-level warehouse |
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| **Case A** | General kandang cleanup | Any kandang-level warehouse with unused PAKAN/OVK stocks | Consolidate to farm-level warehouse |
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## Recommended Execution Order
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For a complete stock consolidation operation, follow this sequence:
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```
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1. find-wrong-warehouse-records ← Diagnose issues
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2. repoint-wrong-warehouse-relations ← Fix Case B (invalid references)
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3. consolidate-kandang-to-farm-stocks ← Fix Case A (general cleanup)
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4. verify-stock-consolidation ← Audit and verify results
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```
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---
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## Command Reference
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### 1. `find-wrong-warehouse-records` — Diagnostic Tool
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**Purpose:** Identify problematic warehouses and their associated stocks before making any changes.
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**Applies to:** Both Case A and Case B scenarios
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**What it does:**
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- Lists warehouses with location mismatches (Case B)
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- Shows stock allocations that reference wrong warehouses
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- Helps identify scope of work needed
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#### Usage:
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```bash
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# Report 1: Find warehouses with location mismatches (Case B issues)
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./find-wrong-warehouse-records --report=warehouses
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# Report 2: Find stock allocations in wrong warehouses (Case B impact)
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./find-wrong-warehouse-records --report=usage
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# Filter by area
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./find-wrong-warehouse-records --report=warehouses --area-name "East Region"
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# Filter by kandang location
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./find-wrong-warehouse-records --report=usage --kandang-location-name "Location 1"
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# Filter by product type
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./find-wrong-warehouse-records --report=usage --usable-type=RECORDING_STOCK
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# JSON output for analysis
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./find-wrong-warehouse-records --report=usage --output=json > analysis.json
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```
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#### Output Columns (Warehouses Report):
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- **AREA**: Geographic area
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- **KANDANG_LOCATION**: Kandang's intended location
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- **KANDANG**: Kandang name
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- **WRONG_LOCATION**: Where the warehouse actually is
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- **WRONG_WAREHOUSE**: Problematic warehouse name
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- **CORRECT_WAREHOUSE**: Where stocks should be
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#### Output Columns (Usage Report):
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- **USABLE_TYPE**: RECORDING_STOCK or MARKETING_DELIVERY
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- **PRODUCTS**: Which products are affected
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- **QTY_FROM_WRONG_STOCK**: How much stock is misplaced
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- **SOURCE_PURCHASES**: Which purchase orders are affected
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**When to use:**
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- Before starting any consolidation
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- To understand the scope of issues
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- To get metrics on how much stock needs moving
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- To identify which areas are most affected
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---
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### 2. `repoint-wrong-warehouse-relations` — Fix Case B (Invalid References)
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**Purpose:** Fix purchases pointed to invalid kandang warehouses (location mismatch).
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**Applies to:** Case B only
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**Cases it handles:**
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- ✅ Warehouses with `location_id ≠ kandang.location_id` (location mismatch)
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- ✅ Only PAKAN/OVK products
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- ✅ Only unused/leftover stocks (no active allocations)
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- ✅ Moves to farm-level warehouse at correct location
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**What it does:**
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1. Finds product_warehouses in wrong locations
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2. Consolidates duplicates into survivor warehouses
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3. Updates all references across the system
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4. Recalculates FIFO stocks if needed
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5. Optionally soft-deletes the wrong warehouse
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#### Usage:
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```bash
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# Dry-run: See what would be moved (always run first!)
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./repoint-wrong-warehouse-relations
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# Dry-run with specific filters
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./repoint-wrong-warehouse-relations --area-name "East Region"
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./repoint-wrong-warehouse-relations --kandang-location-name "Location 1"
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# Actually apply the migration
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./repoint-wrong-warehouse-relations --apply
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# Apply but keep the wrong warehouses (for audit trail)
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./repoint-wrong-warehouse-relations --apply --delete-wrong-warehouses=false
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# JSON output for automation/logging
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./repoint-wrong-warehouse-relations --apply --output=json > migration.json
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```
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#### Flags:
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- `--apply`: Apply changes (omit for dry-run)
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- `--output`: `table` (default) or `json`
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- `--area-name`: Filter by exact area name
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- `--kandang-location-name`: Filter by exact location name
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- `--delete-wrong-warehouses`: Soft-delete wrong warehouses (default: true)
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- `--db-sslmode`: PostgreSQL SSL mode override (e.g., `require`)
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#### Output:
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**Table mode shows:**
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- AREA, LOCATION, KANDANG: Where the issue is
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- WRONG_WAREHOUSE: Source (will be deleted)
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- TARGET_WAREHOUSE: Destination (farm-level)
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- PRODUCT: What's being moved
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- SURVIVOR_PW / ABSORBED_PW: Consolidation details
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- NEEDS_REFLOW: Whether FIFO recalculation is needed
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**Summary shows:**
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```
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Summary: plan_rows=15 wrong_warehouses=3 survivor_pws=12 absorbed_pws=5
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needs_reflow_pws=3 deleted_product_warehouses=5 soft_deleted_warehouses=3
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Updated product_warehouse refs:
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fifo_stock_v2_operation_log.product_warehouse_id=8
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fifo_stock_v2_reflow_checkpoints.product_warehouse_id=3
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purchase_items.warehouse_id=12
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Updated warehouse refs:
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purchase_items.warehouse_id=12
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```
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#### Safety Features:
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- **Dry-run first**: Always preview before applying
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- **Prechecks**: Verifies no blocked references or FIFO conflicts
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- **Atomic transactions**: All-or-nothing database updates
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- **Reference verification**: Confirms all references were updated
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- **Stock log recalculation**: Ensures FIFO accuracy after moves
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---
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### 3. `consolidate-kandang-to-farm-stocks` — Fix Case A (General Cleanup)
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**Purpose:** Consolidate ALL kandang-level PAKAN/OVK stocks to farm-level warehouse.
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**Applies to:** Case A only
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**Cases it handles:**
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- ✅ ALL kandang-level warehouses (type ≠ 'LOKASI')
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- ✅ Only PAKAN/OVK products
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- ✅ Only unused/leftover stocks (no active allocations)
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- ✅ Moves to farm-level warehouse regardless of warehouse validity
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- ✅ No location validation (processes all kandang warehouses)
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**What it does:**
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1. Finds all kandang-level warehouses with unused stocks
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2. Consolidates duplicates into survivor warehouses
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3. Updates all references across the system
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4. Recalculates FIFO stocks if needed
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5. Optionally soft-deletes the kandang warehouse
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#### Usage:
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```bash
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# Dry-run: See what would be consolidated
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./consolidate-kandang-to-farm-stocks
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# Dry-run with filters
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./consolidate-kandang-to-farm-stocks --area-name "East Region"
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./consolidate-kandang-to-farm-stocks --kandang-location-name "Location 1"
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# Actually apply the consolidation
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./consolidate-kandang-to-farm-stocks --apply
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# Apply but keep kandang warehouses
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./consolidate-kandang-to-farm-stocks --apply --delete-kandang-warehouses=false
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# JSON output for logging
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./consolidate-kandang-to-farm-stocks --apply --output=json > consolidation.json
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```
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#### Flags:
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- `--apply`: Apply changes (omit for dry-run)
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- `--output`: `table` (default) or `json`
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- `--area-name`: Filter by exact area name
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- `--kandang-location-name`: Filter by exact location name
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- `--delete-kandang-warehouses`: Soft-delete kandang warehouses (default: true)
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- `--db-sslmode`: PostgreSQL SSL mode override
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#### Output Format:
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Similar to Case B, shows:
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- Source kandang warehouse → Destination farm warehouse
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- Product and quantity details
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- Consolidation and FIFO reflow information
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#### Key Differences from Case B:
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| Aspect | Case B | Case A |
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|--------|--------|--------|
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| Scope | Wrong-location warehouses only | ALL kandang-level warehouses |
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| Validation | Checks location mismatch | No validation checks |
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| When to use | After finding mismatches | General cleanup/consolidation |
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| Risk level | Lower (targeted fix) | Higher (broader scope) |
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---
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### 4. `verify-stock-consolidation` — Audit and Verify
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**Purpose:** Verify that stock consolidations were successful and no stocks were lost.
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**Applies to:** Both Case A and Case B (post-migration verification)
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**What it checks:**
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#### ✅ Source Warehouse Verification
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Ensures deleted warehouses are clean:
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- **CLEAN**: No remaining stock or purchase references
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- **DIRTY**: Still has orphaned data (migration incomplete)
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#### ✅ Destination Warehouse Verification
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Ensures farm-level warehouses received stocks correctly:
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- **MATCHED**: Quantity in product_warehouse matches stock_logs
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- **DISCREPANCY**: Quantity mismatch (data integrity issue!)
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- **EMPTY**: No stocks (correct if nothing was supposed to move)
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#### ✅ Orphaned Reference Detection
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Finds any remaining references to deleted warehouses in:
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- `purchase_items.warehouse_id`
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- `stock_transfers.from/to_warehouse_id`
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- `fifo_stock_v2_operation_log.warehouse_id`
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#### Usage:
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```bash
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# Verify all consolidations (Case A + B together)
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./verify-stock-consolidation
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# Verify only Case B results
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./verify-stock-consolidation --verify-case=B
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# Verify only Case A results
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./verify-stock-consolidation --verify-case=A
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# Filter by area
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./verify-stock-consolidation --area-name "East Region"
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# Filter by location
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./verify-stock-consolidation --kandang-location-name "Location 1"
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# JSON output for reporting
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./verify-stock-consolidation --output=json > verification_report.json
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```
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#### Flags:
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- `--verify-case`: `A`, `B`, or `all` (default)
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- `--output`: `table` (default) or `json`
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- `--area-name`: Filter by exact area name
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- `--kandang-location-name`: Filter by exact location name
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- `--db-sslmode`: PostgreSQL SSL mode override
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#### Output Sections:
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**1. Source Warehouses**
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```
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AREA LOKASI KANDANG WAREHOUSE CASE DELETED_AT STOCK PURCHASES STATUS
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Area A Location 1 Kandang A KWH-A-01 A 2026-04-23 0.000 0 CLEAN
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Area A Location 1 Kandang B WH-WRONG-001 B 2026-04-23 2.500 1 DIRTY ❌
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```
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**2. Destination Warehouses**
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```
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AREA LOKASI FARM_WAREHOUSE PRODUCT QTY LOGS_TOTAL LOGS STATUS
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Area A Location 1 FWH-LOC-001 PAKAN A 2.500 2.500 3 MATCHED ✅
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Area A Location 1 FWH-LOC-001 OVK B 5.000 4.999 5 DISCREPANCY ❌
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```
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**3. Orphaned References** (if any)
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```
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TABLE COLUMN COUNT WAREHOUSE_IDS
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purchase_items warehouse_id 3 1001, 1002, 1003
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stock_transfers from_warehouse_id 1 1001
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```
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**4. Summary**
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```
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Source Warehouses: 10 total, 8 clean, 2 dirty
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Destination Warehouses: 15 total, 14 matching, 1 discrepancy
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Orphaned References: 4
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Overall Status: FAIL ❌
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```
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#### Interpreting Results:
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| Scenario | Meaning | Action |
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|----------|---------|--------|
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| ✅ Overall Status: PASS | All migrations successful | No action needed |
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| ❌ Dirty Source Warehouses | Stocks not fully moved | Re-run repoint/consolidate |
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| ❌ Discrepancy Destinations | Quantity mismatch | Investigate data integrity |
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| ❌ Orphaned References | Broken references remain | Manual cleanup needed |
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---
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## Complete Workflow Example
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### Scenario: Consolidate East Region stocks
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```bash
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# Step 1: Understand the scope (Case B issues)
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./find-wrong-warehouse-records --report=warehouses --area-name "East Region"
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./find-wrong-warehouse-records --report=usage --area-name "East Region"
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# Review the output to understand:
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# - How many wrong warehouses
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# - How much stock needs moving
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# - Which products are affected
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# Step 2: Fix Case B (invalid kandang references)
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./repoint-wrong-warehouse-relations --area-name "East Region"
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# Review dry-run output
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./repoint-wrong-warehouse-relations --apply --area-name "East Region"
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# Watch for summary - should show successful updates
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# Step 3: Fix Case A (general kandang cleanup)
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./consolidate-kandang-to-farm-stocks --area-name "East Region"
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# Review dry-run output
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./consolidate-kandang-to-farm-stocks --apply --area-name "East Region"
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# Watch for summary - should show consolidation complete
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# Step 4: Verify everything worked
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./verify-stock-consolidation --area-name "East Region"
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# Should show:
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# - All source warehouses: CLEAN
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# - All destination warehouses: MATCHED
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# - Orphaned references: 0
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# - Overall Status: PASS ✅
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```
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---
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## Flags Reference
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### Common Flags (All Commands)
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| Flag | Description | Example |
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|------|-------------|---------|
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| `--output` | Output format | `--output=json` |
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| `--area-name` | Filter by area | `--area-name "East Region"` |
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| `--kandang-location-name` | Filter by location | `--kandang-location-name "Location 1"` |
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| `--db-sslmode` | PostgreSQL SSL mode | `--db-sslmode=require` |
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### Migration-Specific Flags
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| Command | Flag | Description |
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|---------|------|-------------|
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| `repoint-wrong-warehouse-relations` | `--apply` | Apply changes |
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| `repoint-wrong-warehouse-relations` | `--delete-wrong-warehouses` | Delete wrong warehouses (default: true) |
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| `consolidate-kandang-to-farm-stocks` | `--apply` | Apply changes |
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| `consolidate-kandang-to-farm-stocks` | `--delete-kandang-warehouses` | Delete kandang warehouses (default: true) |
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| `verify-stock-consolidation` | `--verify-case` | Verify specific case (A, B, or all) |
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---
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## Best Practices
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### Before Running Any Command
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1. **Back up the database** — These operations modify stock data
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2. **Run in dry-run mode first** — Always preview changes before applying
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3. **Check during low-traffic periods** — Avoid peak hours
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4. **Have a rollback plan** — Know how to restore from backup if needed
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### When Running Migrations
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1. **Start small** — Use `--area-name` to test on one area first
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2. **Check the summary** — Verify numbers make sense
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3. **Watch for errors** — Stop if you see unexpected error messages
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4. **Run verification immediately after** — Don't wait to verify
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### Red Flags (Stop and Investigate)
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- ❌ More rows affected than expected
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- ❌ Negative quantities or zero counts where expecting data
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- ❌ Errors about blocked references
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- ❌ FIFO conflicts or in-flight artifacts
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- ❌ Very large numbers in NEEDS_REFLOW
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### JSON Output for Automation
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All commands support `--output=json` for:
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- Piping to other tools
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- Parsing in scripts
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- Generating reports
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- Integration with monitoring systems
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```bash
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# Example: Extract all affected warehouses to CSV
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./find-wrong-warehouse-records --report=warehouses --output=json \
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| jq -r '.rows[] | [.area_name, .kandang_name, .wrong_warehouse_name] | @csv' \
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> affected_warehouses.csv
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```
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---
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## Troubleshooting
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### Issue: "No wrong warehouse relations found"
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- **Cause**: No matching Case B issues in the filter scope
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- **Solution**: Remove filters or use different criteria
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### Issue: "found X rows still point to wrong warehouses"
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- **Cause**: References not fully migrated
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- **Solution**: Check for blocked references, re-run command
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### Issue: "discrepancy_destinations > 0" in verification
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- **Cause**: Quantity mismatch in farm warehouse
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- **Solution**: Investigate manually or rollback and retry
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### Issue: "DIRTY source warehouses" in verification
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- **Cause**: Deleted warehouses still have stock/references
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- **Solution**: May need manual cleanup or re-run migrations
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---
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## Performance Notes
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- Commands use efficient SQL queries with proper filtering
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- Large operations (100K+ rows) may take a few minutes
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- Use area/location filters to reduce scope for testing
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- Dry-runs don't modify database and complete quickly
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## Support
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For issues or questions:
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1. Review the relevant section of this guide
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2. Check the command output for specific error messages
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3. Run verification to diagnose state issues
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4. Contact the development team with JSON outputs from failed operations
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Reference in New Issue
Block a user