Replace hand-rolled nozzle type comparison + Hybrid hack with
BBS-style NozzleGroupInfo comparison in check_ams_status_impl.
Previous approach: direct nozzle_volume_type == printer_flow_type
with a Hybrid tolerance lambda. This either suppressed the dialog
entirely (Hybrid always matched) or showed it on every Preview switch.
New approach (matching BBS):
- Build preset NozzleGroupInfo from extruder_nozzle_stats config
- For Hybrid presets: expand into per-type counts (Std#N, HF#M)
- nozzle_count==0 (never synced): dialog appears for first sync
- nozzle_count>0 (after sync): compare with printer GetNozzleGroups()
- Counts match → dialog suppressed on Prepare↔Preview switches
Safe for all multi-extruder printers (H2C, H2D): non-Hybrid presets
use single NozzleGroupInfo per extruder. Single-extruder printers
exit at is_multi_extruders() guard before reaching this code.
Reference to BBS: BambuStudio/src/slic3r/GUI/Plater.cpp
is_extruder_stat_synced() line 16642
Enable use_forcast in reorder_filaments_for_minimum_flush_volume_base
to match the multi-extruder path behavior (line 1227).
The forecast solver (solve_extruder_order_with_forcast) considers the
next layer's filament set when choosing ordering for the current layer,
minimizing inter-layer transition flush cost.
Previously disabled (hardcoded false) in the single-nozzle/base path,
causing suboptimal inter-layer transitions. The multi-extruder path
already had this enabled.
Measured on 5cubes (5 filaments, 35 layers, H2C):
- Print time: -12 min (-10%)
- Waste filament: -5g (-28%)
- WT extrusion: -44%
Limited to ≤5 filaments per nozzle per layer (O(N!×M!) complexity).
Clamp ramming speed during extruder changes so the departing nozzle
has enough time to reach precool_target_temp before carousel rotation.
Only applies to extruder changes (not carousel nozzle changes).
Reference to BBS: BambuStudio/src/libslic3r/GCode/WipeTower.cpp
ramming() L3449-3462
Physical dist/speed ignores acceleration/deceleration, giving
underestimated total time (29 min vs real 48 min). M73 from the
trapezoid planner accounts for accel/decel and is closer to reality.
Now we keep physical DISTRIBUTION (proportions per-filament) but
scale the X-axis so total time matches M73 trapezoid estimate.
Replace M73-based timeline interpolation with physical time calculation
from G1 feedrates and M400 delays. M73 has 1-minute resolution and
non-uniform granularity which distorts the time axis (e.g. P83→P100
jump makes last filament appear much longer than it actually is).
Physical timeline computes cumulative time per gcode line from actual
move distances and feedrates, giving accurate filament duration on plot.
Falls back to M73 interpolation when raw gcode lines are not available.
End gcode contains firmware-conditional M400 waits for air purification,
timelapse capture, and sound notification that are post-print operations.
These were incorrectly included in M73 total time, inflating the estimate.
The fix detects MACHINE_END_GCODE_START tag during the streaming parse
(process_tags) and sets m_skip_end_gcode_delays=true. process_M400 then
skips timed delays (S/P params) in the end gcode scope.
BBS achieves the same effect by dropping leftover in calculate_time
(is_final=true). We skip at the source instead, which is more surgical
and leaves calculate_time behavior unchanged for all printers.
Affects all BBL printers with MACHINE_END_GCODE_START tag.
Non-BBL printers are unaffected (no tag = no skip).
The M620→M621 firmware toolchange block weight (500x) was only applied
to sparse track sample lines. Hundreds of G1 moves between samples
inside the M620 block got weight=1, causing firmware toolchange to
appear compressed on the timeline plot.
Build continuous M620→M621 line ranges from track samples and apply
weight=500 to ALL lines within those ranges. This makes toolchange
and wipe tower zones proportionally accurate on the timeline.
Add two standalone Python tools for deep comparison and analysis of .3mf
slicing project files:
- compare_slices.py: comprehensive slice comparison with filament usage,
nozzle mapping, tool change sequences, prime tower analysis, temperature
timeline, and automatic critical discrepancy detection
- show_temp_plot.py: interactive HTML temperature timeline plotter for
visualizing heater profiles during multi-nozzle prints
Both tools use only Python stdlib (no external dependencies).
Primary use case: regression testing H2C carousel purge volumes and
BBS compatibility verification.
The upstream _make_wipe_tower() tracked purge volumes per-extruder (2 slots),
which collapsed all H2C carousel filaments into one slot and caused massive
redundant AMS flushing (~40g instead of ~0.4g).
Changes:
- Print.cpp: Replace per-extruder nozzle_cur_filament_ids with BBS
NozzleStatusRecorder that tracks per group_id (carousel slot 0..6).
Use get_nozzle_for_filament() to resolve physical slot per layer.
Select filament_prime_volume_nc for nozzle changes, filament_prime_volume
for filament changes (BBS pattern).
- PrintConfig.hpp/cpp: Register filament_prime_volume (per-filament EC prime
volume, default 45mm³) matching BBS PrintConfig.
- Preset.cpp: Add filament_prime_volume to preset keys list.
Safe for non-carousel printers: group_id == extruder_id when each extruder
has one nozzle, so NozzleStatusRecorder behaves identically to the original
per-extruder tracking.
Reference to BBS: BambuStudio/src/libslic3r/Print.cpp _make_wipe_tower() L3341-3392
denis svinarchuk