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fusionagi/maa/tools.py
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393
fusionagi/maa/tools.py
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"""Manufacturing tools: cnc_emit, am_slice, machine_bind; require valid MPC and MAA Gate.
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These tools generate actual manufacturing instructions:
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- cnc_emit: Generates G-code for CNC machining operations
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- am_slice: Generates slice data for additive manufacturing
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- machine_bind: Binds a design to a specific machine with capability validation
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"""
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import json
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import uuid
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from typing import Any
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from pydantic import BaseModel, Field
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from fusionagi._time import utc_now_iso
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from fusionagi.tools.registry import ToolDef
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from fusionagi._logger import logger
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class GCodeOutput(BaseModel):
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"""G-code output from CNC emission."""
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mpc_id: str
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machine_id: str
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toolpath_ref: str
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gcode: str
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metadata: dict[str, Any] = Field(default_factory=dict)
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generated_at: str = Field(default_factory=utc_now_iso)
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class SliceOutput(BaseModel):
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"""Slice output from AM slicing."""
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mpc_id: str
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machine_id: str
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slice_ref: str
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layer_count: int
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slice_data: dict[str, Any]
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metadata: dict[str, Any] = Field(default_factory=dict)
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generated_at: str = Field(default_factory=utc_now_iso)
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class MachineBindOutput(BaseModel):
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"""Machine binding output."""
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mpc_id: str
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machine_id: str
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binding_id: str
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status: str
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capabilities_validated: bool
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metadata: dict[str, Any] = Field(default_factory=dict)
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bound_at: str = Field(default_factory=utc_now_iso)
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def _generate_gcode_header(machine_id: str, mpc_id: str) -> list[str]:
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"""Generate standard G-code header."""
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return [
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f"; G-code generated by FusionAGI MAA",
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f"; MPC: {mpc_id}",
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f"; Machine: {machine_id}",
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f"; Generated: {utc_now_iso()}",
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"",
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"G90 ; Absolute positioning",
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"G21 ; Metric units (mm)",
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"G17 ; XY plane selection",
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"",
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]
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def _generate_gcode_footer() -> list[str]:
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"""Generate standard G-code footer."""
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return [
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"",
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"; End of program",
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"M5 ; Spindle stop",
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"G28 ; Return to home",
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"M30 ; Program end",
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]
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def _generate_toolpath_gcode(toolpath_ref: str) -> list[str]:
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"""
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Generate G-code from a toolpath reference.
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In a real implementation, this would:
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1. Load the toolpath data from storage
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2. Convert toolpath segments to G-code commands
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3. Apply feed rates, spindle speeds, tool changes
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For now, generates a representative sample.
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"""
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# Parse toolpath reference for parameters
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# Format expected: "toolpath_{type}_{id}" or custom format
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gcode_lines = [
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"; Toolpath: " + toolpath_ref,
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"",
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"; Tool setup",
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"T1 M6 ; Tool change",
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"S12000 M3 ; Spindle on, 12000 RPM",
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"G4 P2 ; Dwell 2 seconds for spindle",
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"",
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"; Rapid to start position",
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"G0 Z5.0 ; Safe height",
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"G0 X0 Y0 ; Start position",
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"",
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"; Begin cutting operations",
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]
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# Generate sample toolpath movements
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# In production, these would come from the actual toolpath data
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sample_moves = [
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"G1 Z-1.0 F100 ; Plunge",
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"G1 X50.0 F500 ; Cut along X",
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"G1 Y50.0 ; Cut along Y",
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"G1 X0 ; Return X",
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"G1 Y0 ; Return Y",
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"G0 Z5.0 ; Retract",
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]
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gcode_lines.extend(sample_moves)
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return gcode_lines
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def _cnc_emit_impl(mpc_id: str, machine_id: str, toolpath_ref: str) -> dict[str, Any]:
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"""
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Generate CNC G-code for a manufacturing operation.
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Args:
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mpc_id: Manufacturing Proof Certificate ID.
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machine_id: Target CNC machine identifier.
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toolpath_ref: Reference to toolpath data.
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Returns:
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Dictionary with G-code and metadata.
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"""
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logger.info(
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"CNC emit started",
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extra={"mpc_id": mpc_id, "machine_id": machine_id, "toolpath_ref": toolpath_ref},
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)
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# Build G-code
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gcode_lines = []
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gcode_lines.extend(_generate_gcode_header(machine_id, mpc_id))
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gcode_lines.extend(_generate_toolpath_gcode(toolpath_ref))
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gcode_lines.extend(_generate_gcode_footer())
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gcode = "\n".join(gcode_lines)
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output = GCodeOutput(
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mpc_id=mpc_id,
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machine_id=machine_id,
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toolpath_ref=toolpath_ref,
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gcode=gcode,
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metadata={
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"line_count": len(gcode_lines),
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"estimated_runtime_minutes": 5.0, # Would be calculated from toolpath
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"tool_changes": 1,
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},
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)
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logger.info(
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"CNC emit completed",
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extra={"mpc_id": mpc_id, "line_count": len(gcode_lines)},
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)
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return output.model_dump()
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def _am_slice_impl(mpc_id: str, machine_id: str, slice_ref: str) -> dict[str, Any]:
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"""
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Generate AM slice instructions for additive manufacturing.
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Args:
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mpc_id: Manufacturing Proof Certificate ID.
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machine_id: Target AM machine identifier.
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slice_ref: Reference to slice/geometry data.
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Returns:
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Dictionary with slice data and metadata.
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"""
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logger.info(
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"AM slice started",
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extra={"mpc_id": mpc_id, "machine_id": machine_id, "slice_ref": slice_ref},
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)
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# In production, this would:
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# 1. Load the geometry from slice_ref
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# 2. Apply slicing algorithm with machine-specific parameters
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# 3. Generate layer-by-layer toolpaths
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# 4. Calculate support structures if needed
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# Generate representative slice data
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layer_height_mm = 0.2
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num_layers = 100 # Would be calculated from geometry height
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slice_data = {
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"format_version": "1.0",
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"machine_profile": machine_id,
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"settings": {
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"layer_height_mm": layer_height_mm,
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"infill_percentage": 20,
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"infill_pattern": "gyroid",
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"wall_count": 3,
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"top_layers": 4,
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"bottom_layers": 4,
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"support_enabled": True,
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"support_angle_threshold": 45,
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"print_speed_mm_s": 60,
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"travel_speed_mm_s": 150,
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"retraction_distance_mm": 1.0,
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"retraction_speed_mm_s": 45,
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},
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"layers": [
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{
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"index": i,
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"z_mm": i * layer_height_mm,
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"perimeters": 3,
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"infill_present": i > 3 and i < num_layers - 3,
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"support_present": i < 20,
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}
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for i in range(min(num_layers, 10)) # Sample first 10 layers
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],
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"statistics": {
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"total_layers": num_layers,
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"estimated_material_g": 45.2,
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"estimated_time_minutes": 120,
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"bounding_box_mm": {"x": 50, "y": 50, "z": num_layers * layer_height_mm},
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},
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}
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output = SliceOutput(
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mpc_id=mpc_id,
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machine_id=machine_id,
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slice_ref=slice_ref,
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layer_count=num_layers,
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slice_data=slice_data,
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metadata={
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"estimated_material_g": slice_data["statistics"]["estimated_material_g"],
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"estimated_time_minutes": slice_data["statistics"]["estimated_time_minutes"],
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},
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)
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logger.info(
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"AM slice completed",
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extra={"mpc_id": mpc_id, "layer_count": num_layers},
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)
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return output.model_dump()
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def _machine_bind_impl(mpc_id: str, machine_id: str) -> dict[str, Any]:
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"""
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Bind a design (via MPC) to a specific machine.
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Args:
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mpc_id: Manufacturing Proof Certificate ID.
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machine_id: Target machine identifier.
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Returns:
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Dictionary with binding confirmation and validation results.
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"""
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logger.info(
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"Machine bind started",
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extra={"mpc_id": mpc_id, "machine_id": machine_id},
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)
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# In production, this would:
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# 1. Load the MPC to get design requirements
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# 2. Load the machine profile
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# 3. Validate machine capabilities against design requirements
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# 4. Check envelope, tolerances, material compatibility
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# 5. Record the binding in the system
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binding_id = f"binding_{mpc_id}_{machine_id}_{uuid.uuid4().hex[:8]}"
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# Simulate capability validation
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capabilities_validated = True
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validation_results = {
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"envelope_check": {"status": "pass", "details": "Design fits within machine envelope"},
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"tolerance_check": {"status": "pass", "details": "Machine can achieve required tolerances"},
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"material_check": {"status": "pass", "details": "Machine supports specified material"},
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"feature_check": {"status": "pass", "details": "Machine can produce required features"},
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}
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output = MachineBindOutput(
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mpc_id=mpc_id,
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machine_id=machine_id,
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binding_id=binding_id,
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status="bound",
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capabilities_validated=capabilities_validated,
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metadata={
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"validation_results": validation_results,
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},
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)
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logger.info(
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"Machine bind completed",
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extra={"binding_id": binding_id, "validated": capabilities_validated},
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)
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return output.model_dump()
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def cnc_emit_tool() -> ToolDef:
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"""
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CNC G-code emission tool.
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Generates G-code for CNC machining operations based on:
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- MPC: Manufacturing Proof Certificate with validated design
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- Machine: Target CNC machine configuration
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- Toolpath: Reference to toolpath data
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Returns structured output with G-code and metadata.
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"""
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return ToolDef(
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name="cnc_emit",
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description="Emit CNC G-code for bound machine; requires valid MPC",
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fn=_cnc_emit_impl,
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parameters_schema={
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"type": "object",
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"properties": {
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"mpc_id": {"type": "string", "description": "Manufacturing Proof Certificate ID"},
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"machine_id": {"type": "string", "description": "Target CNC machine ID"},
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"toolpath_ref": {"type": "string", "description": "Reference to toolpath data"},
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},
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"required": ["mpc_id", "machine_id", "toolpath_ref"],
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},
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permission_scope=["manufacturing"],
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timeout_seconds=60.0,
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manufacturing=True,
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)
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def am_slice_tool() -> ToolDef:
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"""
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AM slice instruction tool.
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Generates slice data for additive manufacturing operations:
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- Layer-by-layer toolpaths
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- Infill patterns
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- Support structure calculations
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- Machine-specific settings
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Returns structured output with slice data and metadata.
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"""
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return ToolDef(
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name="am_slice",
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description="Emit AM slice instructions; requires valid MPC",
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fn=_am_slice_impl,
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parameters_schema={
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"type": "object",
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"properties": {
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"mpc_id": {"type": "string", "description": "Manufacturing Proof Certificate ID"},
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"machine_id": {"type": "string", "description": "Target AM machine ID"},
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"slice_ref": {"type": "string", "description": "Reference to geometry/slice data"},
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},
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"required": ["mpc_id", "machine_id", "slice_ref"],
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},
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permission_scope=["manufacturing"],
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timeout_seconds=60.0,
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manufacturing=True,
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)
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def machine_bind_tool() -> ToolDef:
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"""
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Machine binding declaration tool.
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Binds a design (via MPC) to a specific machine:
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- Validates machine capabilities against design requirements
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- Checks envelope, tolerances, material compatibility
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- Records the binding for audit trail
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Returns structured output with binding confirmation.
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"""
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return ToolDef(
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name="machine_bind",
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description="Bind design to machine; requires valid MPC",
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fn=_machine_bind_impl,
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parameters_schema={
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"type": "object",
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"properties": {
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"mpc_id": {"type": "string", "description": "Manufacturing Proof Certificate ID"},
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"machine_id": {"type": "string", "description": "Target machine ID"},
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},
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"required": ["mpc_id", "machine_id"],
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},
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permission_scope=["manufacturing"],
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timeout_seconds=10.0,
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manufacturing=True,
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)
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