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feat: MCP server, Bambu Cloud task sync & display name fix (#7)

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* added mcp initial trail files

* timestamp use your local django timezone

* added bambu cloud task sync with correct endpoint other than py cloud api

* back fill and relink print name using cloud if there is

* use correct bump-version
This commit is contained in:
RunLit
2026-03-29 23:15:59 +11:00
committed by GitHub
parent 9a91b14593
commit fa90ef11b6
20 changed files with 1761 additions and 12 deletions
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48
bambu_run/views.py
View File

@@ -130,6 +130,24 @@ class PrinterDashboardView(LoginRequiredMixin, TemplateView):
except Exception:
filaments_list = []
subtask_name = latest_metric.subtask_name or "No active print"
# Look up active PrintJob for a better display name (cloud design_title)
job_display_name = subtask_name
if latest_metric.subtask_name:
active_job = (
PrintJob.objects.filter(
device=printer_device,
project_name=latest_metric.subtask_name,
end_time__isnull=True,
).select_related('cloud_task').first()
or PrintJob.objects.filter(
device=printer_device,
project_name=latest_metric.subtask_name,
).select_related('cloud_task').order_by('-start_time').first()
)
if active_job:
job_display_name = active_job.display_name
stats = {
"nozzle_temp": float(latest_metric.nozzle_temp) if latest_metric.nozzle_temp else 0,
"bed_temp": float(latest_metric.bed_temp) if latest_metric.bed_temp else 0,
@@ -137,7 +155,8 @@ class PrinterDashboardView(LoginRequiredMixin, TemplateView):
"print_percent": latest_metric.print_percent or 0,
"gcode_state": latest_metric.gcode_state or "Unknown",
"print_type": latest_metric.print_type or "idle",
"subtask_name": latest_metric.subtask_name or "No active print",
"subtask_name": subtask_name,
"job_display_name": job_display_name,
"chamber_light": latest_metric.chamber_light or "unknown",
"ams_temp": float(latest_metric.ams_temp) if latest_metric.ams_temp else None,
"ams_humidity": latest_metric.ams_humidity,
@@ -158,7 +177,24 @@ class PrinterDashboardView(LoginRequiredMixin, TemplateView):
return context
def _calculate_project_markers(self, metrics, timezone_info):
"""Calculate where print jobs start and end"""
"""Calculate where print jobs start and end, using cloud design_title when available."""
if not metrics:
return []
# Build a lookup: subtask_name -> display_name from PrintJobs in this time window
window_start = metrics[0].timestamp
window_end = metrics[-1].timestamp
device = metrics[0].device
jobs_qs = PrintJob.objects.filter(
device=device,
start_time__gte=window_start - timedelta(minutes=5),
start_time__lte=window_end + timedelta(minutes=5),
).select_related('cloud_task')
# Map project_name (= subtask_name) -> best display name
subtask_to_display = {}
for job in jobs_qs:
subtask_to_display[job.project_name] = job.display_name
markers = []
current_job = None
last_state = None
@@ -170,21 +206,23 @@ class PrinterDashboardView(LoginRequiredMixin, TemplateView):
is_printing = gcode_state not in ['FINISH', 'IDLE', None, '']
if subtask and subtask != current_job and is_printing:
display = subtask_to_display.get(subtask, subtask)
markers.append({
'type': 'start',
'index': idx,
'timestamp': metric.timestamp.astimezone(timezone_info).isoformat(),
'project_name': subtask,
'project_name': display,
})
current_job = subtask
last_state = gcode_state
elif current_job and last_state and last_state not in ['FINISH', 'IDLE'] and gcode_state in ['FINISH', 'IDLE']:
display = subtask_to_display.get(current_job, current_job)
markers.append({
'type': 'end',
'index': idx,
'timestamp': metric.timestamp.astimezone(timezone_info).isoformat(),
'project_name': current_job,
'project_name': display,
})
current_job = None
@@ -613,7 +651,7 @@ class FilamentDetailView(LoginRequiredMixin, DetailView):
context['bambu_run_base_template'] = app_settings.BASE_TEMPLATE
filament = self.object
context['print_usages'] = filament.print_usages.select_related('print_job').order_by('-print_job__start_time')[:20]
context['print_usages'] = filament.print_usages.select_related('print_job__cloud_task').order_by('-print_job__start_time')[:20]
total_consumed = filament.print_usages.aggregate(
total=Sum('consumed_percent')