Files
bambuddy/backend/app/services/usage_tracker.py
T
maziggy cf7c459099 fix(inventory): fix usage tracking for remapped AMS slots and slicer prints
Three fixes for inventory spool usage not updating after prints:

1. Store ams_mapping from print command (reprint, library print, queue)
   so the usage tracker maps 3MF slots to the actual physical trays
   the user selected, not the default slicer mapping.

2. Track last_loaded_tray on printer state — the last valid tray_now
   (0-253) seen during printing. On H2D printers, tray_now is always
   255 in AMS data; the real tray resolves via snow field ~44s after
   print start but reverts to "unloaded" at completion. The fallback
   chain is: tray_now_at_start > current tray_now > last_loaded_tray.

3. Use color similarity (Euclidean RGB distance, threshold 50) instead
   of exact hex match for auto-unlink fingerprint checks. RFID sensors
   report slightly different shades across reads (e.g. distance ~43.6
   for the same spool), causing false assignment unlinks after prints.
2026-02-16 15:46:32 +01:00

494 lines
19 KiB
Python

"""Automatic filament consumption tracking.
Captures AMS tray remain% at print start, then computes consumption
deltas at print complete to update spool weight_used and last_used.
Primary tracking uses 3MF slicer estimates (precise per-filament data).
AMS remain% delta is the fallback for trays not covered by 3MF data.
"""
import json
import logging
from dataclasses import dataclass, field
from datetime import datetime, timezone
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from backend.app.models.spool import Spool
from backend.app.models.spool_assignment import SpoolAssignment
from backend.app.models.spool_usage_history import SpoolUsageHistory
logger = logging.getLogger(__name__)
@dataclass
class PrintSession:
printer_id: int
print_name: str
started_at: datetime
tray_remain_start: dict[tuple[int, int], int] = field(default_factory=dict)
# tray_now at print start (correct value, unlike at completion where it's 255)
tray_now_at_start: int = -1
# Module-level storage, keyed by printer_id
_active_sessions: dict[int, PrintSession] = {}
async def on_print_start(printer_id: int, data: dict, printer_manager) -> None:
"""Capture AMS tray remain% at print start."""
state = printer_manager.get_status(printer_id)
if not state or not state.raw_data:
logger.debug("[UsageTracker] No state for printer %d, skipping", printer_id)
return
ams_raw = state.raw_data.get("ams", [])
ams_data = ams_raw.get("ams", []) if isinstance(ams_raw, dict) else ams_raw if isinstance(ams_raw, list) else []
if not ams_data:
logger.debug("[UsageTracker] No AMS data for printer %d, skipping", printer_id)
return
tray_remain_start: dict[tuple[int, int], int] = {}
for ams_unit in ams_data:
ams_id = int(ams_unit.get("id", 0))
for tray in ams_unit.get("tray", []):
tray_id = int(tray.get("id", 0))
remain = tray.get("remain", -1)
if isinstance(remain, int) and 0 <= remain <= 100:
tray_remain_start[(ams_id, tray_id)] = remain
print_name = data.get("subtask_name", "") or data.get("filename", "unknown")
# Capture tray_now at print start (reliable, unlike at completion where it's 255)
tray_now_at_start = state.tray_now if state else -1
# Always create session (even without valid remain data) so print_name
# is available at completion for 3MF-based tracking
session = PrintSession(
printer_id=printer_id,
print_name=print_name,
started_at=datetime.now(timezone.utc),
tray_remain_start=tray_remain_start,
tray_now_at_start=tray_now_at_start,
)
_active_sessions[printer_id] = session
logger.info("[UsageTracker] Captured tray_now=%d at print start for printer %d", tray_now_at_start, printer_id)
if tray_remain_start:
logger.info(
"[UsageTracker] Captured start remain%% for printer %d (%d trays): %s",
printer_id,
len(tray_remain_start),
{f"{k[0]}-{k[1]}": v for k, v in tray_remain_start.items()},
)
else:
logger.debug("[UsageTracker] No valid remain%% for printer %d, 3MF fallback available", printer_id)
async def on_print_complete(
printer_id: int,
data: dict,
printer_manager,
db: AsyncSession,
archive_id: int | None = None,
ams_mapping: list[int] | None = None,
) -> list[dict]:
"""Compute consumption deltas and update spool weight_used/last_used.
Uses two tracking strategies in priority order:
1. 3MF per-filament estimates (primary) — precise slicer data for all spools
2. AMS remain% delta (fallback) — only for trays not already handled by 3MF
Returns a list of dicts describing what was logged (for WebSocket broadcast).
"""
session = _active_sessions.pop(printer_id, None)
status = data.get("status", "completed")
results = []
handled_trays: set[tuple[int, int]] = set()
logger.info(
"[UsageTracker] on_print_complete: printer=%d, archive=%s, session=%s, ams_mapping=%s",
printer_id,
archive_id,
"yes" if session else "no",
ams_mapping,
)
# --- Path 1 (PRIMARY): 3MF per-filament estimates ---
if archive_id:
print_name = (
(session.print_name if session else None) or data.get("subtask_name", "") or data.get("filename", "unknown")
)
threemf_results = await _track_from_3mf(
printer_id,
archive_id,
status,
print_name,
handled_trays,
printer_manager,
db,
ams_mapping=ams_mapping,
tray_now_at_start=session.tray_now_at_start if session else -1,
)
results.extend(threemf_results)
# --- Path 2 (FALLBACK): AMS remain% delta (only for trays not handled by 3MF) ---
if session and session.tray_remain_start:
state = printer_manager.get_status(printer_id)
if state and state.raw_data:
ams_raw = state.raw_data.get("ams", [])
ams_data = (
ams_raw.get("ams", []) if isinstance(ams_raw, dict) else ams_raw if isinstance(ams_raw, list) else []
)
for ams_unit in ams_data:
ams_id = int(ams_unit.get("id", 0))
for tray in ams_unit.get("tray", []):
tray_id = int(tray.get("id", 0))
key = (ams_id, tray_id)
if key in handled_trays:
continue # Already tracked via 3MF
if key not in session.tray_remain_start:
continue
current_remain = tray.get("remain", -1)
if not isinstance(current_remain, int) or current_remain < 0 or current_remain > 100:
continue
start_remain = session.tray_remain_start[key]
delta_pct = start_remain - current_remain
if delta_pct <= 0:
continue # No consumption or tray was refilled
# Look up SpoolAssignment for this slot
result = await db.execute(
select(SpoolAssignment).where(
SpoolAssignment.printer_id == printer_id,
SpoolAssignment.ams_id == ams_id,
SpoolAssignment.tray_id == tray_id,
)
)
assignment = result.scalar_one_or_none()
if not assignment:
continue
# Load spool
spool_result = await db.execute(select(Spool).where(Spool.id == assignment.spool_id))
spool = spool_result.scalar_one_or_none()
if not spool:
continue
# Compute weight consumed
weight_grams = (delta_pct / 100.0) * spool.label_weight
# Update spool
spool.weight_used = (spool.weight_used or 0) + weight_grams
spool.last_used = datetime.now(timezone.utc)
# Insert usage history record
history = SpoolUsageHistory(
spool_id=spool.id,
printer_id=printer_id,
print_name=session.print_name,
weight_used=round(weight_grams, 1),
percent_used=delta_pct,
status=status,
)
db.add(history)
handled_trays.add(key)
results.append(
{
"spool_id": spool.id,
"weight_used": round(weight_grams, 1),
"percent_used": delta_pct,
"ams_id": ams_id,
"tray_id": tray_id,
"material": spool.material,
}
)
logger.info(
"[UsageTracker] Spool %d consumed %.1fg (%d%%) on printer %d AMS%d-T%d (AMS fallback, %s)",
spool.id,
weight_grams,
delta_pct,
printer_id,
ams_id,
tray_id,
status,
)
if results:
await db.commit()
return results
async def _track_from_3mf(
printer_id: int,
archive_id: int,
status: str,
print_name: str,
handled_trays: set[tuple[int, int]],
printer_manager,
db: AsyncSession,
ams_mapping: list[int] | None = None,
tray_now_at_start: int = -1,
) -> list[dict]:
"""Track usage from 3MF per-filament slicer data (primary path).
Uses slicer-estimated filament weight for all spools (BL and non-BL).
For partial prints (failed/aborted), tries per-layer gcode data first,
then falls back to linear scaling by progress.
Slot-to-tray mapping priority:
1. Stored ams_mapping from print command (reprints/direct prints)
2. Queue item ams_mapping (for queue-initiated prints)
3. tray_now from printer state (for single-filament non-queue prints)
4. Default mapping: slot_id - 1 = global_tray_id (last resort)
"""
from backend.app.core.config import settings as app_settings
from backend.app.models.archive import PrintArchive
from backend.app.models.print_queue import PrintQueueItem
from backend.app.utils.threemf_tools import extract_filament_usage_from_3mf
result = await db.execute(select(PrintArchive).where(PrintArchive.id == archive_id))
archive = result.scalar_one_or_none()
if not archive or not archive.file_path:
logger.info("[UsageTracker] 3MF: archive %s has no file_path, skipping", archive_id)
return []
file_path = app_settings.base_dir / archive.file_path
if not file_path.exists():
logger.info("[UsageTracker] 3MF: file not found: %s", file_path)
return []
filament_usage = extract_filament_usage_from_3mf(file_path)
if not filament_usage:
logger.info("[UsageTracker] 3MF: no filament usage data in %s", file_path)
return []
logger.info("[UsageTracker] 3MF: archive %s, filament_usage=%s", archive_id, filament_usage)
# --- Resolve slot-to-tray mapping ---
# 1. Use stored ams_mapping from the print command (reprints/direct prints)
slot_to_tray = ams_mapping
# 2. Try queue item ams_mapping (queue-initiated prints store the exact mapping)
if not slot_to_tray:
queue_result = await db.execute(
select(PrintQueueItem)
.where(PrintQueueItem.archive_id == archive_id)
.where(PrintQueueItem.status.in_(["printing", "completed", "failed"]))
)
queue_item = queue_result.scalar_one_or_none()
if queue_item and queue_item.ams_mapping:
try:
slot_to_tray = json.loads(queue_item.ams_mapping)
except (json.JSONDecodeError, TypeError):
pass
logger.info(
"[UsageTracker] 3MF: slot_to_tray=%s (source: %s)",
slot_to_tray,
"print_cmd" if ams_mapping else ("queue" if slot_to_tray else "none"),
)
# 3. For single-filament non-queue prints, use tray_now from printer state
# Priority: tray_now_at_start > current tray_now > last_loaded_tray > vt_tray check
nonzero_slots = [u for u in filament_usage if u.get("used_g", 0) > 0]
tray_now_override: int | None = None
if not slot_to_tray and len(nonzero_slots) == 1:
state = printer_manager.get_status(printer_id)
# Try tray_now_at_start first (captured at print start)
if 0 <= tray_now_at_start <= 254:
tray_now_override = tray_now_at_start
logger.info("[UsageTracker] 3MF: using tray_now_at_start=%d (single-filament fallback)", tray_now_at_start)
elif state and 0 <= state.tray_now <= 254:
# Current state is valid (printer didn't retract yet)
tray_now_override = state.tray_now
logger.info("[UsageTracker] 3MF: using current tray_now=%d", state.tray_now)
elif state and 0 <= state.last_loaded_tray <= 253:
# Last valid tray before retract (H2D retracts before completion callback)
tray_now_override = state.last_loaded_tray
logger.info("[UsageTracker] 3MF: using last_loaded_tray=%d (post-retract fallback)", state.last_loaded_tray)
elif state and state.tray_now == 255:
# 255 = "no filament" on legacy printers, but valid 2nd external spool on H2-series
vt_tray = state.raw_data.get("vt_tray") or []
if any(int(vt.get("id", 0)) == 255 for vt in vt_tray if isinstance(vt, dict)):
tray_now_override = state.tray_now
logger.info("[UsageTracker] 3MF: using tray_now=255 (H2-series external spool)")
if tray_now_override is None:
logger.info(
"[UsageTracker] 3MF: no valid tray_now (at_start=%d, current=%s, last_loaded=%s)",
tray_now_at_start,
state.tray_now if state else "N/A",
state.last_loaded_tray if state else "N/A",
)
# Scale factor for partial prints (failed/aborted)
if status == "completed":
scale = 1.0
else:
state = printer_manager.get_status(printer_id)
progress = state.progress if state else 0
scale = max(0.0, min(progress / 100.0, 1.0))
# Per-layer gcode accuracy for partial prints
layer_grams: dict[int, float] | None = None
if status != "completed":
state = printer_manager.get_status(printer_id)
current_layer = state.layer_num if state else 0
if current_layer > 0:
try:
from backend.app.utils.threemf_tools import (
extract_filament_properties_from_3mf,
extract_layer_filament_usage_from_3mf,
get_cumulative_usage_at_layer,
mm_to_grams,
)
layer_usage = extract_layer_filament_usage_from_3mf(file_path)
if layer_usage:
cumulative_mm = get_cumulative_usage_at_layer(layer_usage, current_layer)
filament_props = extract_filament_properties_from_3mf(file_path)
layer_grams = {}
for filament_id, mm_used in cumulative_mm.items():
slot_id = filament_id + 1 # 0-based to 1-based
props = filament_props.get(slot_id, {})
density = props.get("density", 1.24)
diameter = props.get("diameter", 1.75)
layer_grams[slot_id] = mm_to_grams(mm_used, diameter, density)
except Exception:
pass # Fall back to linear scaling
results = []
for usage in filament_usage:
slot_id = usage.get("slot_id", 0)
used_g = usage.get("used_g", 0)
if used_g <= 0:
continue
# Map 3MF slot_id to physical (ams_id, tray_id) using resolved mapping
if tray_now_override is not None:
# Single-filament non-queue print: use actual tray from printer state
global_tray_id = tray_now_override
else:
# Queue mapping or default: slot_id - 1, overridden by ams_mapping
global_tray_id = slot_id - 1
if slot_to_tray and slot_id <= len(slot_to_tray):
mapped = slot_to_tray[slot_id - 1]
if isinstance(mapped, int) and mapped >= 0:
global_tray_id = mapped
if global_tray_id >= 254:
# External spool: ams_id=255 (sentinel), tray_id=slot index (0 or 1)
ams_id = 255
tray_id = global_tray_id - 254
elif global_tray_id >= 128:
ams_id = global_tray_id
tray_id = 0
else:
ams_id = global_tray_id // 4
tray_id = global_tray_id % 4
logger.info(
"[UsageTracker] 3MF: slot_id=%d -> global_tray=%d -> AMS%d-T%d (used_g=%.1f, tray_now_override=%s)",
slot_id,
global_tray_id,
ams_id,
tray_id,
used_g,
tray_now_override,
)
key = (ams_id, tray_id)
if key in handled_trays:
continue
# Find spool assignment for this tray
assign_result = await db.execute(
select(SpoolAssignment).where(
SpoolAssignment.printer_id == printer_id,
SpoolAssignment.ams_id == ams_id,
SpoolAssignment.tray_id == tray_id,
)
)
assignment = assign_result.scalar_one_or_none()
if not assignment:
logger.info("[UsageTracker] 3MF: no spool assignment at printer %d AMS%d-T%d", printer_id, ams_id, tray_id)
continue
# Load spool
spool_result = await db.execute(select(Spool).where(Spool.id == assignment.spool_id))
spool = spool_result.scalar_one_or_none()
if not spool:
continue
# Use per-layer grams if available, otherwise linear scale
if layer_grams and slot_id in layer_grams:
weight_grams = layer_grams[slot_id]
else:
weight_grams = used_g * scale
if weight_grams <= 0:
continue
# Update spool
spool.weight_used = (spool.weight_used or 0) + weight_grams
spool.last_used = datetime.now(timezone.utc)
percent = round(weight_grams / (spool.label_weight or 1000) * 100)
# Insert usage history record
history = SpoolUsageHistory(
spool_id=spool.id,
printer_id=printer_id,
print_name=print_name,
weight_used=round(weight_grams, 1),
percent_used=percent,
status=status,
)
db.add(history)
handled_trays.add(key)
results.append(
{
"spool_id": spool.id,
"weight_used": round(weight_grams, 1),
"percent_used": percent,
"ams_id": ams_id,
"tray_id": tray_id,
"material": spool.material,
}
)
# Determine mapping source for debug logging
if tray_now_override is not None:
map_src = ", tray_now"
elif slot_to_tray and ams_mapping:
map_src = ", print_cmd_map"
elif slot_to_tray:
map_src = ", queue_map"
else:
map_src = ""
logger.info(
"[UsageTracker] Spool %d consumed %.1fg (3MF%s%s) on printer %d AMS%d-T%d (%s)",
spool.id,
weight_grams,
" per-layer" if (layer_grams and slot_id in layer_grams) else (f" scaled {scale:.0%}" if scale < 1 else ""),
map_src,
printer_id,
ams_id,
tray_id,
status,
)
return results