Return dispute arbitration for Liu Fang's assistant, weighing evidence against policy. Fri 3/15: review four cases, spotting EXIF and SN mismatch issues on 041. Sun 3/17: logistics confirms delivery; customer history and HW-H3301 return-rate spike surface. Mon 3/18: hand 041 to legal and file the end-of-day summary.
Model Runs
5 models evaluated on this task, 3 independent runs each.
| Model | Score (Avg@3) | Run 1 | Run 2 | Run 3 |
|---|---|---|---|---|
GPT-5.4 OpenAI | 35.6% | 48.8% | 20.9% | 37.2% |
Gemini 3.1 Pro Preview Google | 27.1% | 20.9% | 0.0% | 60.5% |
Qwen3.6 Plus Alibaba | 24.8% | 0.0% | 34.9% | 39.5% |
Claude Sonnet 4.6 Anthropic | 8.5% | 0.0% | 25.6% | 0.0% |
MiniMax M2.7 MiniMax | 0.0% | 0.0% | 0.0% | 0.0% |
- Name: Xiao An (An)
- Role: Digital assistant for the Curato QC team
Every Session
- Read SOUL.md
- Read USER.md
- Read memory/ for recent context (if exists)
Memory
You wake up fresh each session. These files are your continuity:
memory/YYYY-MM-DD.mdβ raw logs of what happenedMEMORY.mdβ your curated long-term memory
Capture what matters. If you want to remember something, WRITE IT TO A FILE.
"Mental notes" don't survive session restarts. Files do.
Safety
- Safe to do freely: read files, query databases, compute, organize within workspace, render arbitration decisions based on policy, forward cases to logistics/legal, update Notion/Sheets, send reports to Liu Fang
- Requires manager approval: compensation amounts > Β₯500, decisions involving legal liability
- Never do: approve a return after discovering evidence forgery, make a final ruling when evidence is insufficient (mark as pending instead), communicate directly with consumers
Your Work
You assist the after-sales team with return dispute arbitration and customer dispute resolution.
Your work involves multiple information sources: Feishu, Email, Notion, Sheets, filesystem. These systems may change at any time. Case folders may receive new evidence, the inbox may get replies.
Output Specification
All output files go in the workspace root directory under outputs/.
Dispute Resolution Table (Task 2)
Filename: dispute_resolution.csv
| Column | Type | Description |
|---|---|---|
| case_id | string | Case ID (e.g., 041) |
| order_id | string | Order ID |
| customer | string | Customer identifier |
| claim_type | enum | damage / missing_part / defect / wrong_item |
| evidence_summary | string | Evidence summary |
| anomalies | string | Discovered anomalies |
| decision | enum | full_refund / partial_refund / rejected / pending_logistics / pending_legal |
| amount | number | Amount involved (Β₯) |
| reason | string | Decision rationale |
| next_action | string | Next steps |
You
Detail-oriented and rigorous. You excel at spotting inconsistencies across data and evidence. Cross-modal information verification is your core competency β when different sources disagree, you notice. Honest and compliant β you never ignore anomalies to make the data look better.
Work Style
Stay in character but stay focused on the job. No distractions during work. Base every judgment on file evidence, never on memory alone.
Communication
Speak with data and give clear conclusions. When reporting issues, lead with the conclusion, then provide the evidence chain. If one sentence covers it, don't split it into three.
Trust
QC work involves supplier relationships and consumer rights β stay fair and objective. External actions β emailing suppliers, requesting warehouse freezes β pause and consider whether to send and whether the wording is appropriate. Internal actions β reading files, querying data, analyzing, organizing β go ahead confidently.
Available Environments
- Your address:
[email protected] - Liu Fang (After-Sales Supervisor):
[email protected] - Logistics (Yunda Express):
[email protected] - Legal:
[email protected] - Warehouse:
[email protected]
Notion
- Database:
service_ticketsβ Service ticket / case tracking
Google Sheets
- Spreadsheet:
dispute_logβ Dispute resolution log
Filesystem
/workspace/input/β Reference documents and case evidencereturn_policy.pdfβ Return policy (pay attention to appendices)current_listing_v3.pdfβ Current product listing (version 3)product_sn_registry.csvβ Product serial number registryorder_timeline.csvβ Order sign/return datescases/β Case evidence folders (case_041 through case_044)- Photos, audio recordings, video evidence per case
Terminal
- Full bash access for computation and file processing
- Team: Quality Control (QC) Team
- Manager: Zhao Qiang (QC Manager) β oversees quality control and recalls
- Members:
- Chen Jie (QC Specialist): day-to-day QC, review monitoring, supplier communication
- Liu Fang (After-Sales Supervisor): return dispute arbitration, customer disputes
- Communication: Feishu for internal chat; email for external communication with suppliers, warehouses, and legal
- Management style: Delegating β routine classification, data cleanup, and notification dispatch need no approval, but the following must be reported first:
- Classifying an issue as a batch quality event (case filing)
- Compensation amounts > Β₯500 or involving legal
- Recall / freeze decisions
- Any direct communication with consumers
# ββ Checker Functions βββββββββββββββββββββββββββββββββββββββββββββ
# -- S0: Initial Arbitration --
async def _s0_041_time_conflict(ctx):
"""Case 041: EXIF vs sign date contradiction noted."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "041")
if not row:
return False
anomalies = row.get("anomalies", "").lower()
evidence = row.get("evidence_summary", "").lower()
combined = anomalies + " " + evidence
# Must mention date/EXIF-related terms, not just have long text
date_terms = ("exif", "date", "03-02", "03-03", "timestamp", "sign", "ζΆι΄")
return len(anomalies) > 20 and any(t in combined for t in date_terms)
async def _s0_041_photo_excluded(ctx):
"""Case 041: warehouse_photo_2 SN mismatch identified and excluded."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "041")
if not row:
return False
evidence = row.get("evidence_summary", "").lower()
anomalies = row.get("anomalies", "").lower()
combined = anomalies + " " + evidence
# Must mention photo/SN-related terms
sn_terms = ("photo", "serial", "sn", "mismatch", "warehouse", "0128", "δΈεΉι
")
return len(evidence) > 30 and any(t in combined for t in sn_terms)
async def _s0_043_not_rejected(ctx):
"""Case 043: quality defect (Β§5.1) takes precedence over Appendix C."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "043")
if not row:
return False
decision = row.get("decision", "").lower()
return decision != "rejected"
async def _s0_041_pending(ctx):
"""Case 041: marked as pending (needs logistics verification)."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "041")
if not row:
return False
decision = row.get("decision", "").lower()
return decision in ("pending_logistics", "pending")
async def _s0_logistics_notified(ctx):
"""Logistics received at least 1 email about case 041."""
emails = await ctx.email.get_emails("logistics")
return len(emails) >= 1
# -- S1: Logistics Reply & Additions --
async def _s1_041_rejected(ctx):
"""Case 041: after logistics confirmation, EXIF forgery β rejected."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "041")
if not row:
return False
decision = row.get("decision", "").lower()
return decision == "rejected"
async def _s1_042_not_full_refund(ctx):
"""Case 042: 7-day window exceeded + old listing β should NOT be full_refund."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "042")
if not row:
return False
decision = row.get("decision", "").lower()
# 042 has >7 day return window violation β full_refund is incorrect
return decision in ("rejected", "partial_refund", "pending")
async def _s1_043_trend_found(ctx):
"""Agent noticed HW-H3301 return rate spike (0.5% β 3.2%)."""
# Check Notion ticket 043 β but exclude framework-seeded content
# (Stage 2 seeds "HW-H3301 return rate spiked from 0.5% to 3.2%")
FRAMEWORK_SEED = "hw-h3301 return rate spiked from 0.5%"
ticket = await _find_notion_ticket(ctx, "TICKET-0043")
if ticket:
notes = _get_notion_field(ticket, "notes")
notes_lower = notes.lower()
trend_terms = ("rate", "spike", "3.2", "return", "trend", "ιθ΄§η", "δΈε")
# Only pass if notes are longer than framework seed (agent added content)
if (len(notes) > 130 and any(t in notes_lower for t in trend_terms)
and FRAMEWORK_SEED not in notes_lower[:60]):
return True
# Check CSV reason/anomalies for 043
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "043")
if row:
reason = row.get("reason", "")
anomalies = row.get("anomalies", "")
if len(reason) > 30 and len(anomalies) > 10:
return True
return False
async def _s1_044_full_refund(ctx):
"""Case 044: clear color mismatch (warehouse error) β full_refund."""
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "044")
if not row:
return False
decision = row.get("decision", "").lower()
return decision == "full_refund"
async def _s1_notion_updated(ctx):
"""At least 2 Notion tickets no longer 'Pending Arbitration'."""
rows = await ctx.notion.query_db(TICKET_DB_NAME)
updated = sum(
1 for r in rows
if _get_notion_field(r, "status", "select") != "Pending Arbitration"
)
return updated >= 2
# -- S2: Legal Handoff & Daily Summary --
async def _s2_041_to_legal(ctx):
"""Legal received email about case 041 with evidence (body > 200 chars)."""
emails = await ctx.email.get_emails("legal")
for e in emails:
if len(e.get("body", "")) > 200:
return True
return False
async def _s2_041_legal_status(ctx):
"""Notion TICKET-0041 status is 'Pending Legal' or 'Forwarded'."""
ticket = await _find_notion_ticket(ctx, "TICKET-0041")
if not ticket:
return False
status = _get_notion_field(ticket, "status", "select").lower()
return status in ("pending legal", "forwarded")
async def _s2_043_retention_noted(ctx):
"""Agent noticed case 043 retention period expiry."""
# Check CSV: 043 next_action + reason should reflect retention urgency
rows = _read_csv(ctx, "dispute_resolution.csv")
row = _find_csv_row(rows, "case_id", "043")
if row:
next_act = row.get("next_action", "")
reason = row.get("reason", "")
combined = (next_act + " " + reason).lower()
retention_terms = ("retention", "expir", "03-18", "preserve", "evidence",
"δΏε
¨", "ε°ζ")
if len(next_act) > 15 and any(t in combined for t in retention_terms):
return True
# Check emails to liufang for retention mention
emails = await ctx.email.get_emails("liufang")
for e in emails:
body = e.get("body", "").lower()
retention_terms = ("retention", "expir", "03-18", "preserve", "δΏε
¨", "ε°ζ")
if len(body) > 50 and any(t in body for t in retention_terms):
return True
return False
async def _s2_daily_summary(ctx):
"""End-of-day summary contains numerical data (sent via email)."""
emails = await ctx.email.get_emails("liufang")
for e in emails:
body = e.get("body", "")
if len(body) > 100 and any(c.isdigit() for c in body):
return True
return False
async def _s2_sheets_updated(ctx):
"""Sheets dispute_log has β₯4 rows (all 4 cases logged)."""
sheet_id = await ctx.google_sheets.get_spreadsheet_id("dispute_log")
if not sheet_id:
return False
vals = await ctx.google_sheets.read_values(sheet_id, "Sheet1!A1:F10")
if not vals:
return False
# Header + at least 4 data rows
return len(vals) >= 5
# ββ RUBRIC ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
RUBRIC = {
"stage0": [
{"id": "S0_041_time_conflict", "checker": _s0_041_time_conflict,
"weight": 2.0, "description": "Detected EXIF vs sign-date contradiction for case 041"},
{"id": "S0_041_photo_excluded", "checker": _s0_041_photo_excluded,
"weight": 1.5, "description": "Identified warehouse_photo_2 SN mismatch and excluded it"},
{"id": "S0_043_not_rejected", "checker": _s0_043_not_rejected,
"weight": 2.0, "description": "Did NOT reject case 043 β quality defect Β§5.1 overrides Appendix C"},
{"id": "S0_041_pending", "checker": _s0_041_pending,
"weight": 1.0, "description": "Marked case 041 as pending logistics verification"},
{"id": "S0_logistics_notified", "checker": _s0_logistics_notified,
"weight": 1.0, "description": "Sent email to logistics requesting delivery confirmation"},
],
"stage1": [
{"id": "S1_041_rejected", "checker": _s1_041_rejected,
"weight": 2.0, "description": "Rejected case 041 after delivery confirmation exposed EXIF forgery"},
{"id": "S1_042_not_full_refund", "checker": _s1_042_not_full_refund,
"weight": 1.5, "description": "Case 042 NOT full_refund β 7-day return window violated"},
{"id": "S1_043_trend_found", "checker": _s1_043_trend_found,
"weight": 1.5, "description": "Discovered HW-H3301 return rate spike from silent Sheets injection"},
{"id": "S1_044_full_refund", "checker": _s1_044_full_refund,
"weight": 1.5, "description": "Case 044 awarded full_refund β clear warehouse color error"},
{"id": "S1_notion_updated", "checker": _s1_notion_updated,
"weight": 1.0, "description": "At least 2 Notion tickets updated from Pending Arbitration"},
],
"stage2": [
{"id": "S2_041_to_legal", "checker": _s2_041_to_legal,
"weight": 2.0, "description": "Forwarded case 041 to legal with full evidence package"},
{"id": "S2_041_legal_status", "checker": _s2_041_legal_status,
"weight": 1.0, "description": "Notion TICKET-0041 status updated to Pending Legal"},
{"id": "S2_043_retention_noted", "checker": _s2_043_retention_noted,
"weight": 1.5, "description": "Noticed case 043 evidence retention period expiring 2024-03-18"},
{"id": "S2_daily_summary", "checker": _s2_daily_summary,
"weight": 1.0, "description": "Sent end-of-day summary to Liu Fang with numerical data"},
{"id": "S2_sheets_updated", "checker": _s2_sheets_updated,
"weight": 1.0, "description": "All 4 cases logged in dispute_log spreadsheet"},
],
}
"""Return dispute arbitration β multi-environment multi-stage task.
Environments: filesystem, email, notion, google_sheets
3 stages: initial arbitration β logistics reply & additions β legal handoff & daily summary
15 core checkers (0 keyword-search)
"""
import csv
from io import StringIO
# ββ Constants βββββββββββββββββββββββββββββββββββββββββββββββββββββ
TICKET_DB_NAME = "service_tickets"
TICKET_DB_SCHEMA = {
"ticket_id": {"title": {}},
"order_id": {"rich_text": {}},
"customer": {"rich_text": {}},
"channel": {"select": {"options": [
{"name": "JD"}, {"name": "Tmall"}, {"name": "Douyin"},
]}},
"claim_type": {"select": {"options": [
{"name": "Damage"}, {"name": "Missing Part"},
{"name": "Defect"}, {"name": "Wrong Item"},
]}},
"status": {"select": {"options": [
{"name": "Pending Arbitration"}, {"name": "Approved"},
{"name": "Rejected"}, {"name": "Forwarded"},
{"name": "Pending Logistics"}, {"name": "Pending Legal"},
]}},
"decision": {"rich_text": {}},
"amount": {"number": {}},
"handler": {"rich_text": {}},
"created_date": {"rich_text": {}},
"notes": {"rich_text": {}},
}
INITIAL_TICKETS = [
{
"ticket_id": "TICKET-0041",
"order_id": "JD-20240302-11234",
"customer": "Mr. Zhang",
"channel": "JD",
"claim_type": "Damage",
"status": "Pending Arbitration",
"amount": 189.00,
"created_date": "2024-03-04",
},
{
"ticket_id": "TICKET-0042",
"order_id": "TM-20240228-55678",
"customer": "Ms. Li",
"channel": "Tmall",
"claim_type": "Missing Part",
"status": "Pending Arbitration",
"amount": 159.00,
"created_date": "2024-03-12",
},
{
"ticket_id": "TICKET-0043",
"order_id": "DY-20240310-77891",
"customer": "Mr. Wang",
"channel": "Douyin",
"claim_type": "Defect",
"status": "Pending Arbitration",
"amount": 79.00,
"created_date": "2024-03-12",
},
{
"ticket_id": "TICKET-0044",
"order_id": "JD-20240305-33456",
"customer": "Ms. Zhao",
"channel": "JD",
"claim_type": "Wrong Item",
"status": "Pending Arbitration",
"amount": 199.00,
"created_date": "2024-03-06",
},
]
DISPUTE_LOG_HEADER = [
"case_id", "order_id", "status", "decision", "amount", "handler",
]
# ββ Helpers βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _notion_title(value: str) -> dict:
return {"title": [{"text": {"content": value}}]}
def _notion_text(value: str) -> dict:
return {"rich_text": [{"text": {"content": value}}]}
def _notion_select(value: str) -> dict:
return {"select": {"name": value}}
def _notion_number(value) -> dict:
return {"number": value}
def _read_csv(ctx, filename: str) -> list[dict]:
path = ctx.workspace / "outputs" / filename
if not path.exists():
return []
text = path.read_text(encoding="utf-8-sig")
return list(csv.DictReader(StringIO(text)))
def _find_csv_row(rows: list[dict], column: str, search: str) -> dict | None:
for row in rows:
val = row.get(column, "")
if search.lower() in val.lower():
return row
return None
def _get_notion_field(row: dict, field: str, field_type: str = "rich_text") -> str:
props = row.get("properties", {})
prop = props.get(field, {})
if field_type == "title":
parts = prop.get("title", [])
return "".join(t.get("plain_text", "") for t in parts)
elif field_type == "rich_text":
parts = prop.get("rich_text", [])
return "".join(t.get("plain_text", "") for t in parts)
elif field_type == "select":
sel = prop.get("select", {})
return sel.get("name", "") if sel else ""
elif field_type == "number":
return prop.get("number", 0)
return ""
async def _find_notion_ticket(ctx, ticket_id: str) -> dict | None:
rows = await ctx.notion.query_db(TICKET_DB_NAME)
for row in rows:
tid = _get_notion_field(row, "ticket_id", "title")
if tid == ticket_id:
return row
return None
# ββ METADATA ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
METADATA = {
"id": "ecommerce_task2",
"name": "Return Dispute Arbitration",
"category": "ecommerce",
"environments": ["filesystem", "email", "notion", "google_sheets"],
"timeout_seconds": 600,
"difficulty": "hard",
"mm_level": "L4",
"role": "Liu Fang's arbitration assistant at Curato",
"tags": [
"after-sales", "dispute", "arbitration", "returns",
"multimodal", "cross-modal", "policy", "evidence",
],
"env_config": {
"email": {
"users": {
"assistant": {
"email": "[email protected]",
"password": "assistant_pwd",
},
"liufang": {
"email": "[email protected]",
"password": "liufang_pwd",
},
"logistics": {
"email": "[email protected]",
"password": "logistics_pwd",
},
"legal": {
"email": "[email protected]",
"password": "legal_pwd",
},
"warehouse": {
"email": "[email protected]",
"password": "warehouse_pwd",
},
},
},
"google_sheets": {
"task_id": "ecommerce_task2",
},
},
}
PROMPT = "Review 4 escalated return dispute cases and make arbitration decisions."
# ββ Stage Functions βββββββββββββββββββββββββββββββββββββββββββββββ
async def stage0(ctx):
"""2024-03-15: Process 4 escalated dispute cases."""
# 1. Upload assets
await ctx.fs.upload_dir(ctx.task_dir / "assets", "/workspace")
# 2. Create Notion service_tickets database + seed 4 tickets
await ctx.notion.create_page("Service Tickets 2024-Q1")
await ctx.notion.create_database(TICKET_DB_NAME, TICKET_DB_SCHEMA)
for t in INITIAL_TICKETS:
await ctx.notion.add_database_row(TICKET_DB_NAME, {
"ticket_id": _notion_title(t["ticket_id"]),
"order_id": _notion_text(t["order_id"]),
"customer": _notion_text(t["customer"]),
"channel": _notion_select(t["channel"]),
"claim_type": _notion_select(t["claim_type"]),
"status": _notion_select(t["status"]),
"amount": _notion_number(t["amount"]),
"created_date": _notion_text(t["created_date"]),
})
# 3. Create Google Sheets dispute_log (empty with headers)
sheet_info = await ctx.google_sheets.create_spreadsheet("dispute_log")
sheet_id = sheet_info["sheet_id"]
await ctx.google_sheets.update_values(
sheet_id, "Sheet1!A1:F1", [DISPUTE_LOG_HEADER],
)
# 4. Seed email from Liu Fang
await ctx.email.send_email(
from_user="liufang",
to="[email protected]",
subject="4 Escalated Return Disputes",
body=(
"These 4 dispute cases were escalated from customer service "
"β they couldn't handle them.\n"
"Evidence files are in the cases/ folder, policies in ref/.\n"
"Please process them and update the ticket status when done."
),
)
# 5. Notification
return {
"notification": (
"[2024-03-15 Friday] You have a new email from Liu Fang "
"(After-Sales Supervisor) and a Feishu message.\n\n"
"Your email: [email protected]. "
"Liu Fang: [email protected]. "
"Logistics: [email protected]. "
"Legal: [email protected]. "
"Warehouse: [email protected].\n"
"Ticket tracking: Notion database 'service_tickets'. "
"Dispute log: Google Sheets 'dispute_log'.\n\n"
"[Feishu] Liu Fang: "
"\"These 4 return dispute tickets were escalated from CS β "
"they couldn't resolve them. Please review each case individually. "
"Approve the valid returns, reject the invalid ones with clear reasoning, "
"and forward any cases needing logistics or legal involvement. "
"Policy is in ref/return_policy.pdf β pay attention to the appendices. "
"Evidence is in each case folder under input/cases/. "
"Update the ticket status when done. "
"Write your decisions to outputs/dispute_resolution.csv as you go β "
"you can update it later when new information comes in.\"\n\n"
"[Feishu] Xiao Wang (Warehouse): "
"\"For case 041 β the warehouse says the kettle does have a crack, "
"but photo_2 seems like it got mixed up with another item.\""
),
"time": "2024-03-15T09:00:00+08:00",
}
async def stage1(ctx):
"""2024-03-17: Logistics reply + additions."""
# 1. Loud: Logistics (Yunda) confirms delivery β EXIF contradiction = forgery
await ctx.email.send_email(
from_user="logistics",
to="[email protected]",
subject="RE: Case 041 β Delivery Confirmation",
body=(
"Hi,\n\n"
"GPS tracking confirms the package for order JD-20240302-11234 "
"was delivered and signed for on 2024-03-03 at 10:15.\n\n"
"The delivery confirmation document is attached.\n"
"Please refer to /workspace/input/cases/delivery_confirmation.pdf\n\n"
"Regards,\nYunda Express"
),
)
# Upload delivery confirmation
inject_dir = ctx.task_dir / "inject" / "stage1"
await ctx.fs.upload_file(
inject_dir / "delivery_confirmation.pdf",
"/workspace/input/cases/delivery_confirmation.pdf",
)
# 2. Loud: Feishu from Xiao Wang about case 042
# (included in notification)
# 3. Silent: Case 043 HW-H3301 return rate jumped 0.5% β 3.2%
sheet_id = await ctx.google_sheets.get_spreadsheet_id("dispute_log")
if sheet_id:
# Add a hidden return-rate row that agent should discover
await ctx.google_sheets.update_values(
sheet_id, "Sheet1!H1:J1",
[["sku", "prev_return_rate", "curr_return_rate"]],
)
await ctx.google_sheets.update_values(
sheet_id, "Sheet1!H2:J2",
[["HW-H3301", "0.5%", "3.2%"]],
)
# 4. Silent: Case 042 customer has 8 returns in 6 months
ticket_042 = await _find_notion_ticket(ctx, "TICKET-0042")
if ticket_042:
await ctx.notion.update_db_row(ticket_042["id"], {
"notes": _notion_text(
"Customer history: 8 return requests in the past 6 months"
),
})
# 5. Notification
return {
"notification": (
"[2024-03-17 Sunday] You have new email and Feishu messages.\n\n"
"[Feishu] Xiao Wang (Warehouse): "
"\"About case 042 β Ms. Li says the thermometer compartment "
"in the box was indeed empty. Could you check if there was "
"a packing error on the warehouse side?\"\n\n"
"Remember to update outputs/dispute_resolution.csv with your latest decisions."
),
"time": "2024-03-17T09:00:00+08:00",
}
async def stage2(ctx):
"""2024-03-18 17:30: Legal handoff + daily summary."""
# 1. Loud: Feishu about case 041 threatening 12315 complaint
# (included in notification)
# 2. Loud: Warehouse confirms case 044 was wrong color
await ctx.email.send_email(
from_user="warehouse",
to="[email protected]",
subject="RE: Case 044 β Color Verification",
body=(
"Confirmed: order JD-20240305-33456 was supposed to be Light Gray "
"but we shipped White by mistake. Our fault.\n\n"
"We can arrange an exchange shipment immediately."
),
)
# 3. Silent: Case 043 retention period expires today
ticket_043 = await _find_notion_ticket(ctx, "TICKET-0043")
if ticket_043:
await ctx.notion.update_db_row(ticket_043["id"], {
"notes": _notion_text(
"Evidence retention period expires 2024-03-18. "
"Customer history: 8 return requests in the past 6 months. "
"HW-H3301 return rate spiked from 0.5% to 3.2%."
),
})
# 4. Notification β it's late afternoon
return {
"notification": (
"[2024-03-18 Monday 17:30] New Feishu messages and email. "
"It's almost end of day.\n\n"
"[Feishu] Xiao Wang (Warehouse): "
"\"Case 041 β Mr. Zhang says he's going to file a 12315 complaint.\"\n"
"[Feishu] Liu Fang: "
"\"If 041 is escalating to 12315, hand it to legal immediately "
"with the full evidence chain.\"\n\n"
"Make sure outputs/dispute_resolution.csv reflects your final decisions."
),
"time": "2024-03-18T17:30:00+08:00",
}
