#====================================================================================================

START - Testing Protocol - DO NOT EDIT OR REMOVE THIS SECTION

#====================================================================================================

THIS SECTION CONTAINS CRITICAL TESTING INSTRUCTIONS FOR BOTH AGENTS

BOTH MAIN_AGENT AND TESTING_AGENT MUST PRESERVE THIS ENTIRE BLOCK

Communication Protocol:

If the `testing_agent` is available, main agent should delegate all testing tasks to it.

You have access to a file called `test_result.md`. This file contains the complete testing state

and history, and is the primary means of communication between main and the testing agent.

Main and testing agents must follow this exact format to maintain testing data.

The testing data must be entered in yaml format Below is the data structure:

user_problem_statement: {problem_statement}

backend:

- task: "Task name"

implemented: true

working: true # or false or "NA"

file: "file_path.py"

stuck_count: 0

priority: "high" # or "medium" or "low"

needs_retesting: false

status_history:

-working: true # or false or "NA"

-agent: "main" # or "testing" or "user"

-comment: "Detailed comment about status"

frontend:

- task: "Task name"

implemented: true

working: true # or false or "NA"

file: "file_path.js"

stuck_count: 0

priority: "high" # or "medium" or "low"

needs_retesting: false

status_history:

-working: true # or false or "NA"

-agent: "main" # or "testing" or "user"

-comment: "Detailed comment about status"

metadata:

created_by: "main_agent"

version: "1.0"

test_sequence: 0

run_ui: false

test_plan:

current_focus:

- "Task name 1"

- "Task name 2"

stuck_tasks:

- "Task name with persistent issues"

test_all: false

test_priority: "high_first" # or "sequential" or "stuck_first"

agent_communication:

-agent: "main" # or "testing" or "user"

-message: "Communication message between agents"

Protocol Guidelines for Main agent

1. Update Test Result File Before Testing:

- Main agent must always update the `test_result.md` file before calling the testing agent

- Add implementation details to the status_history

- Set `needs_retesting` to true for tasks that need testing

- Update the `test_plan` section to guide testing priorities

- Add a message to `agent_communication` explaining what you've done

2. Incorporate User Feedback:

- When a user provides feedback that something is or isn't working, add this information to the relevant task's status_history

- Update the working status based on user feedback

- If a user reports an issue with a task that was marked as working, increment the stuck_count

- Whenever user reports issue in the app, if we have testing agent and task_result.md file so find the appropriate task for that and append in status_history of that task to contain the user concern and problem as well

3. Track Stuck Tasks:

- Monitor which tasks have high stuck_count values or where you are fixing same issue again and again, analyze that when you read task_result.md

- For persistent issues, use websearch tool to find solutions

- Pay special attention to tasks in the stuck_tasks list

- When you fix an issue with a stuck task, don't reset the stuck_count until the testing agent confirms it's working

4. Provide Context to Testing Agent:

- When calling the testing agent, provide clear instructions about:

- Which tasks need testing (reference the test_plan)

- Any authentication details or configuration needed

- Specific test scenarios to focus on

- Any known issues or edge cases to verify

5. Call the testing agent with specific instructions referring to test_result.md

IMPORTANT: Main agent must ALWAYS update test_result.md BEFORE calling the testing agent, as it relies on this file to understand what to test next.

#====================================================================================================

END - Testing Protocol - DO NOT EDIT OR REMOVE THIS SECTION

#====================================================================================================

Testing Data - Main Agent and testing sub agent both should log testing data below this section

#====================================================================================================

user_problem_statement: | S&OP Enterprise Planning System (Next.js + MongoDB). Continuation task: Build the Distributor Order Portal module. Must reuse the existing dummy dataset (15 SKUs × 5 distributors × 3 regions × 26 weeks) so every module stays consistent. Features: • Editable table: SKU, Current Stock, Secondary Sales, Suggested Qty, Scheme/Promotion • Distributor inputs order qty • Show Distributor→Dealer gap • Tentative delivery date calculation • Cashflow indicator (based on order value) • Highlight high-demand SKUs · clean dashboard style • Backend endpoint POST /orders/place saves orders

backend:

task: "PATCH /api/orders/update enforces freeze logic (editable/restricted/locked) with approval workflow" implemented: true working: true file: "app/api/[[...path]]/route.js" stuck_count: 0 priority: "high" needs_retesting: false status_history: - working: "NA" agent: "main" comment: | New endpoint PATCH /api/orders/update. Body: {orderId, lines, action?, note?, simDay?}. action ∈ {edit(default), request_approval, approve, reject}. Uses simDay override if provided (1-31) else today's UTC day of month. Window rules: • day <25 → editable: any change allowed, status → 'Amended' • 25-28 → restricted: per-line |Δqty%| ≤ 10%, else 400 • ≥29 → locked: action=edit → 403; action=request_approval → 202, status='Pending Approval', pendingApproval saved • action=approve: applies pendingApproval, status='Approved' • action=reject: clears pendingApproval, status='Rejected' Validations: missing orderId → 400; unknown orderId → 404; all-zero lines → 400. - working: true agent: "testing" comment: | ✅ PASSED: All freeze logic tests successful. Editable state (simDay=20): allows any changes, status→'Amended'. Restricted state (simDay=26): allows ±10% changes, rejects >10% with proper error message mentioning "±10%" and "Your change was X%". Locked state (simDay=30): blocks edits with 403, allows request_approval→202 with pendingApproval object, approve→200 applies changes with status='Approved', reject→200 sets status='Rejected'. All error handling works: missing orderId→400, unknown orderId→404, zero lines→400, approve without pending→400, request_approval when not locked→400. Full approval workflow tested successfully.
task: "GET /api/orders/rules?simDay=N returns current lockState + window rule schema" implemented: true working: true file: "app/api/[[...path]]/route.js" stuck_count: 0 priority: "medium" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Exposes {lockState:{state,label,day,maxDeltaPct,hint}, rules:[3 windows]} so the UI can render badges/hints consistently." - working: true agent: "testing" comment: | ✅ PASSED: All rules endpoint tests successful. GET /api/orders/rules (no query) returns correct lockState for today's UTC day with proper structure. simDay parameter works correctly: simDay=10→editable with maxDeltaPct=null, simDay=26→restricted with maxDeltaPct=10, simDay=30→locked with maxDeltaPct=0. Edge cases handled: simDay=99 clamped to 31 (locked), simDay=0 clamped to 1 (editable). Response includes 3 rules array with proper window definitions.
task: "GET /api/orders?simDay=N decorates every order with current lockState" implemented: true working: true file: "app/api/[[...path]]/route.js" stuck_count: 0 priority: "medium" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Each order in the list now carries a lockState object derived from simDay (or today) so the UI can show per-order lock badge + disable editing accordingly." - working: true agent: "testing" comment: | ✅ PASSED: Orders list endpoint with lockState decoration working correctly. GET /api/orders?distributorId=DST-001&simDay=26 returns response with top-level lockState.state='restricted' and each individual order decorated with the same lockState object. All orders in the list have consistent lockState matching the simDay parameter. Response structure includes count, lockState, and orders array with proper lockState decoration.
task: "GET /api/orders/suggest?distributorId=X returns enriched suggestion with lines, leadTimeDays, tentativeDeliveryDate" implemented: true working: true file: "app/api/[[...path]]/route.js" stuck_count: 0 priority: "high" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Implemented in previous turn. Should return {distributor, leadTimeDays, tentativeDeliveryDate, lastWeekId, lines:[...]} for a valid distributor id and 404 for unknown id; 400 when distributorId missing." - working: true agent: "testing" comment: "✅ PASSED: All tests successful. Valid distributorId=DST-001 returns correct structure with distributor{id,name,region}, leadTimeDays=3 for North region, tentativeDeliveryDate in YYYY-MM-DD format, 15 lines with all required fields (skuId, skuName, category, price, cost, currentStock, retailStock, weeklySecondary, suggestedQty, coverWeeks, dealerGap, scheme, isHighDemand, estimatedValue). Error handling works: missing distributorId→400 'distributorId required', unknown distributorId=DST-999→404."
task: "POST /api/orders/place saves order, enriches lines with scheme/pricing, persists to MongoDB, returns {ok:true, order}" implemented: true working: true file: "app/api/[[...path]]/route.js" stuck_count: 0 priority: "high" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Saves to 'orders' collection with generated orderId (ORD-), totalQty, totalValue, cashflow (low|medium|high), leadTimeDays, tentativeDeliveryDate. Validations: distributorId+non-empty lines required; invalid skuIds skipped; all zero qty → 400." - working: true agent: "testing" comment: "✅ PASSED: All tests successful. Happy path works: returns 201 with {ok:true, order} containing orderId matching /^ORD-[A-Z0-9]+$/, distributorName='NorthStar Foods', region='North', status='Pending', correct totalQty/totalValue, cashflow thresholds working (low<$25K, medium$25K-$75K, high≥$75K). Line enrichment works with skuName, category, unitPrice, effectivePrice, lineValue, scheme, discountPct. Scheme pricing verified: Beverage SKUs get 9% 'Buy 10 Get 1 Free' discount. All validations work: missing distributorId→400, empty lines→400, unknown distributor→404, all-zero/invalid qty→400 'All order lines were empty/invalid'. Orders persist to MongoDB successfully."
task: "GET /api/orders?distributorId=X lists saved orders filtered by distributor, newest first, max 50" implemented: true working: true file: "app/api/[[...path]]/route.js" stuck_count: 0 priority: "high" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Reads from MongoDB 'orders' collection. Projection strips _id. Must return the order just placed." - working: true agent: "testing" comment: "✅ PASSED: All tests successful. GET /api/orders?distributorId=DST-001 returns correct structure with {count, orders} where orders contain orderId, totalQty, totalValue, cashflow, lines, tentativeDeliveryDate, createdAt. Orders sorted newest first confirmed. Persistence verified: orders placed via POST immediately appear in GET results. Unfiltered GET /api/orders works. Unknown distributor filter DST-999 returns count:0, orders:[] correctly."
task: "Dummy data endpoints (meta, skus, distributors, regions, weeks, kpis, weekly, aggregate) remain consistent and deterministic" implemented: true working: true file: "lib/dummyData.js, app/api/[[...path]]/route.js" stuck_count: 0 priority: "medium" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Deterministic (seeded PRNG). Used by all 7 pages in the frontend." - working: true agent: "testing" comment: "✅ PASSED: All dataset endpoints working correctly. GET /api/data/meta returns exact expected values: skuCount=15, distributorCount=5, regionCount=3, weekCount=26, rowCount=1950. All other endpoints return correct counts and structures: /api/data/skus (15 items), /api/data/distributors (5 items with id,name,region,tier), /api/data/regions (3 items), /api/data/weeks (26 items), /api/data/kpis (has totalRevenue, totalGm, gmPct, totalDemand, demandWoW), /api/data/aggregate?by=skuId (15 rows), /api/data/weekly (1950 rows). Data is deterministic and consistent."

frontend:

task: "Distributor Order Portal (editable table + place order flow)" implemented: true working: "NA" file: "app/page.js (OrdersPage)" stuck_count: 0 priority: "high" needs_retesting: false status_history: - working: "NA" agent: "main" comment: "Rewrote OrdersPage: distributor selector, 4 KPI cards, cashflow meter, editable SKU table with Suggested click-to-accept, Dist→Dealer gap badge, violet scheme badges, high-demand amber-tinted rows + flame icon, Apply Suggestions button, Clear, Notes, Place Order button, Recent Orders panel filtered by distributor. Calls /api/orders/suggest, /api/orders, POST /api/orders/place. Visual check passed."

metadata: created_by: "main_agent" version: "1.0" test_sequence: 2 run_ui: false

test_plan: current_focus: [] stuck_tasks: [] test_all: false test_priority: "high_first"

agent_communication: - agent: "main" message: | Added Order Freeze Logic. Please test the three new/updated endpoints thoroughly.

    Freeze rules (based on current UTC day of month, overridable via `simDay` in URL/body):
      • day < 25  → state="editable"   · any edit allowed
      • 25 ≤ day ≤ 28 → state="restricted" · per-line |Δqty%| ≤ 10%
      • day ≥ 29  → state="locked"     · edits forbidden; approval workflow

    Test flow:
      1) GET /api/orders/rules                   → lockState for today
         GET /api/orders/rules?simDay=10         → editable
         GET /api/orders/rules?simDay=26         → restricted, maxDeltaPct=10
         GET /api/orders/rules?simDay=30         → locked
      2) POST /api/orders/place (any valid order) to seed an order, capture orderId.
      3) GET /api/orders?distributorId=DST-001&simDay=26 → each order has lockState.state="restricted"
      4) PATCH /api/orders/update
         - editable:
             {orderId, simDay:20, lines:[{skuId:"SKU-10842",qty:ORIG*1.5}]} → 200, status "Amended"
         - restricted OK (within ±10%):
             {orderId, simDay:26, lines:[{skuId:"SKU-10842",qty: round(ORIG*1.05)}]} → 200
         - restricted VIOLATION (>10%):
             {orderId, simDay:26, lines:[{skuId:"SKU-10842",qty:ORIG*2}]} → 400, error mentions ±10%, includes maxDeltaPct
         - locked edit blocked:
             {orderId, simDay:30, lines:[...]} → 403, error mentions "locked", includes lockState
         - locked request_approval:
             {orderId, simDay:30, action:"request_approval", lines:[...], note:"urgent"} → 202,
             order.status="Pending Approval", pendingApproval.status="pending", pendingApproval.requestedLines populated
         - approve:
             {orderId, simDay:30, action:"approve"} → 200, status="Approved", lines updated to the pending lines
         - reject (after requesting another approval first):
             {orderId, simDay:30, action:"reject"} → 200, status="Rejected"
         - errors: missing orderId → 400; unknown orderId → 404; all zero-qty lines → 400
      5) POST /api/orders/place still works and response includes lockState for today.
      6) Dataset endpoints still return the expected counts (15/5/3/26/1950) — nothing should have regressed.

    Don't fix anything — just report. Update test_result.md with working:true/false per task.
- agent: "testing"
  message: |
    ✅ BACKEND TESTING COMPLETED SUCCESSFULLY - All 4 backend tasks are now working correctly:
    
    1. Dataset endpoints: All 8 endpoints (/api/data/meta, skus, distributors, regions, weeks, kpis, weekly, aggregate) return exact expected data counts and structures.
    
    2. Order suggestion endpoint: GET /api/orders/suggest works perfectly with proper validation (400 for missing distributorId, 404 for unknown distributor), returns all required fields including 15 enriched lines with scheme pricing.
    
    3. Place order endpoint: POST /api/orders/place works with full validation, cashflow thresholds (low/medium/high), scheme pricing (9% discount for beverages), line enrichment, and MongoDB persistence.
    
    4. List orders endpoint: GET /api/orders returns orders correctly filtered by distributor, sorted newest first, with immediate persistence verification.
    
    All endpoints tested comprehensively using external URL. MongoDB integration working. No critical issues found.
- agent: "testing"
  message: |
    ✅ ORDER FREEZE LOGIC TESTING COMPLETED SUCCESSFULLY - All 3 freeze logic backend tasks are now working perfectly:
    
    1. GET /api/orders/rules: Returns correct lockState for current day and simDay parameter. All edge cases work (clamping simDay 0→1, 99→31). Proper structure with lockState and 3 rules array.
    
    2. GET /api/orders with simDay: Correctly decorates all orders with lockState matching the simDay parameter. Response includes top-level lockState and per-order lockState decoration.
    
    3. PATCH /api/orders/update: Complete freeze logic implementation working flawlessly:
       - Editable state (day <25): Allows any changes, status→'Amended'
       - Restricted state (day 25-28): Enforces ±10% limit, proper error messages with maxDeltaPct
       - Locked state (day ≥29): Blocks edits (403), enables approval workflow
       - Full approval workflow: request_approval→202, approve→200, reject→200
       - All error handling: missing orderId→400, unknown orderId→404, invalid lines→400
    
    Regression tests passed: All pre-existing endpoints (data/meta, orders/suggest, orders/place) still work correctly with expected data counts (15/5/3/26/1950).
    
    All 22 test scenarios executed successfully with strict HTTP code validation. No critical issues found.

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START - Testing Protocol - DO NOT EDIT OR REMOVE THIS SECTION

THIS SECTION CONTAINS CRITICAL TESTING INSTRUCTIONS FOR BOTH AGENTS

BOTH MAIN_AGENT AND TESTING_AGENT MUST PRESERVE THIS ENTIRE BLOCK

Communication Protocol:

If the testing_agent is available, main agent should delegate all testing tasks to it.

You have access to a file called test_result.md. This file contains the complete testing state

and history, and is the primary means of communication between main and the testing agent.

Main and testing agents must follow this exact format to maintain testing data.

The testing data must be entered in yaml format Below is the data structure:

user_problem_statement: {problem_statement}

backend:

- task: "Task name"

implemented: true

working: true # or false or "NA"

file: "file_path.py"

stuck_count: 0

priority: "high" # or "medium" or "low"

needs_retesting: false

status_history:

-working: true # or false or "NA"

-agent: "main" # or "testing" or "user"

-comment: "Detailed comment about status"

frontend:

- task: "Task name"

implemented: true

working: true # or false or "NA"

file: "file_path.js"

stuck_count: 0

priority: "high" # or "medium" or "low"

needs_retesting: false

status_history:

-working: true # or false or "NA"

-agent: "main" # or "testing" or "user"

-comment: "Detailed comment about status"

metadata:

created_by: "main_agent"

version: "1.0"

test_sequence: 0

run_ui: false

test_plan:

current_focus:

- "Task name 1"

- "Task name 2"

stuck_tasks:

- "Task name with persistent issues"

test_all: false

test_priority: "high_first" # or "sequential" or "stuck_first"

agent_communication:

-agent: "main" # or "testing" or "user"

-message: "Communication message between agents"

Protocol Guidelines for Main agent

1. Update Test Result File Before Testing:

- Main agent must always update the test_result.md file before calling the testing agent

- Add implementation details to the status_history

- Set needs_retesting to true for tasks that need testing

- Update the test_plan section to guide testing priorities

- Add a message to agent_communication explaining what you've done

2. Incorporate User Feedback:

- When a user provides feedback that something is or isn't working, add this information to the relevant task's status_history

- Update the working status based on user feedback

- If a user reports an issue with a task that was marked as working, increment the stuck_count

- Whenever user reports issue in the app, if we have testing agent and task_result.md file so find the appropriate task for that and append in status_history of that task to contain the user concern and problem as well

3. Track Stuck Tasks:

- Monitor which tasks have high stuck_count values or where you are fixing same issue again and again, analyze that when you read task_result.md

- For persistent issues, use websearch tool to find solutions

- Pay special attention to tasks in the stuck_tasks list

- When you fix an issue with a stuck task, don't reset the stuck_count until the testing agent confirms it's working

4. Provide Context to Testing Agent:

- When calling the testing agent, provide clear instructions about:

- Which tasks need testing (reference the test_plan)

- Any authentication details or configuration needed

- Specific test scenarios to focus on

- Any known issues or edge cases to verify

5. Call the testing agent with specific instructions referring to test_result.md

If the `testing_agent` is available, main agent should delegate all testing tasks to it.

You have access to a file called `test_result.md`. This file contains the complete testing state

- Main agent must always update the `test_result.md` file before calling the testing agent

- Set `needs_retesting` to true for tasks that need testing

- Update the `test_plan` section to guide testing priorities

- Add a message to `agent_communication` explaining what you've done