feat(dashboard): technician performance report + real technician names

Wahab customer request (relay #748 v3 next-wave).

3a. Fix 'Tech #N' display:
- FM dashboard's "Technician Workload" card was built from
  `Tech #${t.assigned_to}`; it now reads Ticket.assigned_technician_name
  (falling back to 'Unassigned', matching /tickets).
- Template sweep confirms no other `Tech #` placeholder exists.

3b. Technician performance dashboard:
- New bearer-gated GET /api/tickets/tech-performance aggregating existing
  ticket columns only (no schema change): per-technician total assigned,
  completed, in progress, escalated, cancelled, pending, open tasks,
  completion rate, and created_at -> closed_at resolution time with explicit
  counts for finished tasks lacking a timestamp. Rows key on user id so
  same-name technicians stay separate; labels are real names. Fleet totals
  and an unassigned-ticket count are included.
- New /dashboard/tech-performance page (FM + CEO nav and links) with sortable
  table, completion bars and empty states; same-origin vendored assets only.
- Bucket map, service, schemas and tests in app/services/ticket.py,
  app/schemas/ticket.py, tests/test_tech_performance.py.

Tests: 111 passed (101 existing + 10 new).
This commit is contained in:
root
2026-09-10 04:00:19 +00:00
parent 57cbe34117
commit 43800345c1
10 changed files with 795 additions and 7 deletions
+163
View File
@@ -345,6 +345,169 @@ async def update_ticket(
return ticket
# ── Technician performance ───────────────────────────────────────────
# Buckets for the technician-performance dashboard (Wahab request). The map is
# intentionally not exhaustive: any status missing from it is counted as
# "pending" so the named buckets always sum to ``total_assigned`` and no
# assigned ticket is silently dropped from the report.
_TECH_STATUS_BUCKETS: dict[str, str] = {
"Completed": "completed",
"Closed": "completed",
"Accepted": "in_progress",
"Travelling": "in_progress",
"On Site": "in_progress",
"In Progress": "in_progress",
"Waiting Parts": "in_progress",
"Escalated": "escalated",
"Cancelled": "cancelled",
}
def _bucket_for_status(status: str) -> str:
"""Map a ticket status onto its technician-performance bucket."""
return _TECH_STATUS_BUCKETS.get(status, "pending")
def _empty_tech_entry(technician_id: int, name: str) -> dict[str, Any]:
return {
"technician_id": technician_id,
"name": name,
"total_assigned": 0,
"completed": 0,
"closed": 0,
"in_progress": 0,
"escalated": 0,
"cancelled": 0,
"pending": 0,
"open_tickets": 0,
"completion_rate": 0.0,
"avg_resolution_hours": None,
"resolved_with_timestamps": 0,
"resolved_without_timestamps": 0,
"status_breakdown": {},
"_hours_sum": 0.0,
}
async def get_technician_performance(db: AsyncSession) -> dict[str, Any]:
"""Aggregate per-technician workload/outcome stats for the dashboard.
Derived entirely from existing ``tickets`` columns (``assigned_to``,
``status``, ``created_at``, ``closed_at``) joined to ``users.full_name`` —
no schema change. Technician identity is keyed on the user id so two people
sharing a display name stay separate rows, while the reported label is the
real name (never ``"Tech #<id>"``).
Completion rate is ``completed / total_assigned`` (Completed + Closed count
as completed). Resolution time averages ``created_at -> closed_at`` only for
rows where ``closed_at`` is set; the number of finished tasks lacking that
timestamp is reported separately so an absent average is never mistaken for
missing work.
"""
rows = (
await db.execute(
select(
Ticket.assigned_to,
User.full_name,
Ticket.status,
Ticket.created_at,
Ticket.closed_at,
)
.join(User, User.id == Ticket.assigned_to)
.where(Ticket.assigned_to.is_not(None))
)
).all()
unassigned_result = await db.execute(
select(func.count(Ticket.id)).where(Ticket.assigned_to.is_(None))
)
unassigned_tickets = unassigned_result.scalar() or 0
by_tech: dict[int, dict[str, Any]] = {}
for assigned_to, full_name, status, created_at, closed_at in rows:
entry = by_tech.get(assigned_to)
if entry is None:
entry = _empty_tech_entry(assigned_to, full_name)
by_tech[assigned_to] = entry
entry["total_assigned"] += 1
bucket = _bucket_for_status(status)
if bucket == "completed":
entry["completed"] += 1
if status == "Closed":
entry["closed"] += 1
if closed_at is not None and created_at is not None:
hours = (closed_at - created_at).total_seconds() / 3600
entry["_hours_sum"] += hours
entry["resolved_with_timestamps"] += 1
else:
entry["resolved_without_timestamps"] += 1
else:
entry[bucket] += 1
breakdown = entry["status_breakdown"]
breakdown[status] = breakdown.get(status, 0) + 1
technicians: list[dict[str, Any]] = []
total_assigned = total_completed = total_closed = 0
total_in_progress = total_escalated = total_cancelled = total_pending = 0
total_hours = 0.0
total_with_timestamps = total_without_timestamps = 0
for entry in by_tech.values():
assigned = entry["total_assigned"]
entry["open_tickets"] = assigned - entry["completed"] - entry["cancelled"]
entry["completion_rate"] = round(entry["completed"] / assigned * 100, 1) if assigned else 0.0
if entry["resolved_with_timestamps"]:
entry["avg_resolution_hours"] = round(
entry["_hours_sum"] / entry["resolved_with_timestamps"], 1
)
entry["status_breakdown"] = dict(
sorted(entry["status_breakdown"].items(), key=lambda kv: (-kv[1], kv[0]))
)
total_assigned += assigned
total_completed += entry["completed"]
total_closed += entry["closed"]
total_in_progress += entry["in_progress"]
total_escalated += entry["escalated"]
total_cancelled += entry["cancelled"]
total_pending += entry["pending"]
total_hours += entry["_hours_sum"]
total_with_timestamps += entry["resolved_with_timestamps"]
total_without_timestamps += entry["resolved_without_timestamps"]
del entry["_hours_sum"]
technicians.append(entry)
# Busiest/most productive first; ties broken by workload then real name.
technicians.sort(key=lambda e: (-e["completed"], -e["total_assigned"], e["name"].lower()))
totals = {
"technicians": len(technicians),
"total_assigned": total_assigned,
"completed": total_completed,
"closed": total_closed,
"in_progress": total_in_progress,
"escalated": total_escalated,
"cancelled": total_cancelled,
"pending": total_pending,
"open_tickets": total_assigned - total_completed - total_cancelled,
"completion_rate": round(total_completed / total_assigned * 100, 1) if total_assigned else 0.0,
"avg_resolution_hours": round(total_hours / total_with_timestamps, 1) if total_with_timestamps else None,
"resolved_with_timestamps": total_with_timestamps,
"resolved_without_timestamps": total_without_timestamps,
"unassigned_tickets": unassigned_tickets,
"total_tickets": total_assigned + unassigned_tickets,
}
return {
"generated_at": datetime.now(timezone.utc),
"technicians": technicians,
"totals": totals,
}
async def delete_ticket(db: AsyncSession, ticket_id: int) -> Ticket:
"""Delete a ticket and all dependent rows (timeline, photos, escalations).