HongchengGao's picture
Align task taxonomy and IDs with the updated paper; main evaluation 306
3de3b50 verified
Raw History Blame Contribute Delete
26.4 kB
from __future__ import annotations
import hashlib
import json
import math
import os
import re
from dataclasses import dataclass
from pathlib import Path
from typing import Iterable
DEFAULT_TARGET = Path(os.environ.get("EVAL_TARGET_DIR", r"C:\Users\User\Desktop"))
NC_NAME = "task-04.nc"
FORMAL_INPUT_SHA256 = {
"hole_table_plate.step": "3094AF53D864C0031251B738D51201551E439A32CD556E1AA09B345F3978C39D",
"hole_table.csv": "25B7FDFF9FC8522F0882D77A0930242123FD9FEC2774D8EEE0969F530F725B5E",
}
XY_TOL_MM = 0.35
DEPTH_TOL_MM = 0.30
THROUGH_TIP_COMP_MAX_MM = 0.65
SAFE_CLEARANCE_MM = 1.0
WORD_RE = re.compile(r"([A-Z])([-+]?(?:\d+(?:\.\d*)?|\.\d+))")
RUN_ID_RE = re.compile(r"[A-Za-z0-9._:-]{8,128}")
@dataclass(frozen=True)
class Hole:
x: float
y: float
diameter: float
depth: float
kind: str
HOLES = (
Hole(-45.0, -10.0, 5.0, 13.0, "through"),
Hole(-35.0, 10.0, 5.0, 13.0, "through"),
Hole(-25.0, -10.0, 5.0, 13.0, "through"),
Hole(-15.0, 10.0, 5.0, 13.0, "through"),
Hole(-5.0, -10.0, 5.0, 13.0, "through"),
Hole(5.0, 10.0, 5.0, 13.0, "through"),
Hole(15.0, -10.0, 6.0, 6.0, "blind"),
Hole(25.0, 10.0, 6.0, 7.0, "blind"),
Hole(35.0, -10.0, 6.0, 8.0, "blind"),
Hole(45.0, 10.0, 6.0, 9.0, "blind"),
)
class EvaluationError(ValueError):
pass
@dataclass
class Record:
line: int
motion: int
start: tuple[float, float, float]
end: tuple[float, float, float]
tool: int | None
spindle_on: bool
spindle: float | None
feed: float | None
wcs: str | None
length_comp: bool
h_offset: int | None
@dataclass
class DrillEvent:
line: int
x: float
y: float
bottom_z: float
approach_z: float | None
retract_z: float | None
tool: int | None
spindle_on: bool
spindle: float | None
feed: float | None
wcs: str | None
length_comp: bool
h_offset: int | None
method: str
@dataclass
class Program:
records: list[Record]
cycle_events: list[DrillEvent]
saw_m30: bool
def close(a: float, b: float, tol: float) -> bool:
return abs(a - b) <= tol
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest().upper()
def strip_comments(raw: str, line_number: int) -> str:
output: list[str] = []
depth = 0
for char in raw:
if char == ";" and depth == 0:
break
if char == "(":
depth += 1
elif char == ")":
if depth == 0:
raise EvaluationError(f"unmatched comment close on line {line_number}")
depth -= 1
elif depth == 0:
output.append(char)
if depth:
raise EvaluationError(f"unterminated comment on line {line_number}")
return "".join(output).upper().strip()
def parse_words(code: str, line_number: int) -> list[tuple[str, float]]:
if code == "%":
return []
if code.startswith("/"):
code = code[1:].lstrip()
matches = list(WORD_RE.finditer(code))
residue = WORD_RE.sub(" ", code)
if residue.strip():
raise EvaluationError(f"unknown executable text on line {line_number}: {residue.strip()!r}")
return [(match.group(1), float(match.group(2))) for match in matches]
def exact_int(value: float, label: str, line_number: int) -> int:
rounded = round(value)
if not close(value, rounded, 1e-8):
raise EvaluationError(f"fractional {label} code on line {line_number}")
return int(rounded)
def g_is(value: float, expected: float) -> bool:
return close(value, expected, 1e-7)
def parse_program(source: str) -> Program:
units: float | None = None
distance_mode: int | None = None
motion: int | None = None
active_cycle: int | None = None
cycle_z: float | None = None
cycle_r: float | None = None
cycle_q: float | None = None
retract_mode = 98
selected_tool: int | None = None
active_tool: int | None = None
spindle_on = False
spindle: float | None = None
feed: float | None = None
wcs: str | None = None
length_comp = False
h_offset: int | None = None
x = y = z = 0.0
terminated = False
saw_m30 = False
records: list[Record] = []
cycle_events: list[DrillEvent] = []
allowed_g = {
0.0, 1.0, 2.0, 3.0, 17.0, 20.0, 21.0, 28.0, 40.0, 43.0,
49.0, 53.0, 54.0, 54.1, 55.0, 56.0, 57.0, 58.0, 59.0,
80.0, 81.0, 82.0, 83.0, 90.0, 91.0, 94.0, 98.0, 99.0,
}
allowed_m = {0, 1, 2, 3, 4, 5, 6, 8, 9, 30}
for line_number, raw in enumerate(source.splitlines(), 1):
code = strip_comments(raw, line_number)
if not code or code == "%":
continue
words = parse_words(code, line_number)
if not words:
continue
if terminated:
raise EvaluationError(f"executable code after M30 on line {line_number}")
by_letter: dict[str, list[float]] = {}
for letter, value in words:
by_letter.setdefault(letter, []).append(value)
for letter in by_letter:
if letter not in "NGMTSFXYZIJRQHDPLO":
raise EvaluationError(f"unsupported word {letter} on line {line_number}")
for letter in "XYZIJRQHDFSTP":
if len(by_letter.get(letter, [])) > 1:
raise EvaluationError(f"duplicate {letter} word on line {line_number}")
g_codes = by_letter.get("G", [])
m_codes = [exact_int(v, "M", line_number) for v in by_letter.get("M", [])]
for g in g_codes:
if not any(g_is(g, allowed) for allowed in allowed_g):
raise EvaluationError(f"unsupported G code G{g:g} on line {line_number}")
for m in m_codes:
if m not in allowed_m:
raise EvaluationError(f"unsupported M code M{m} on line {line_number}")
axis_present = any(letter in by_letter for letter in "XYZ")
block_motion = any(any(g_is(g, candidate) for candidate in (0, 1, 2, 3, 81, 82, 83)) for g in g_codes)
if 30 in m_codes:
if axis_present or block_motion:
raise EvaluationError(f"motion or cycle in M30 block on line {line_number}")
saw_m30 = True
terminated = True
continue
for g in g_codes:
if g_is(g, 20):
units = 25.4
elif g_is(g, 21):
units = 1.0
elif g_is(g, 90):
distance_mode = 90
elif g_is(g, 91):
distance_mode = 91
elif any(g_is(g, candidate) for candidate in (0, 1, 2, 3)):
motion = int(round(g))
active_cycle = None
elif g_is(g, 80):
active_cycle = None
elif any(g_is(g, candidate) for candidate in (81, 82, 83)):
active_cycle = int(round(g))
elif g_is(g, 98):
retract_mode = 98
elif g_is(g, 99):
retract_mode = 99
elif g_is(g, 43):
length_comp = True
elif g_is(g, 49):
length_comp = False
h_offset = None
elif any(g_is(g, candidate) for candidate in (54, 55, 56, 57, 58, 59)):
wcs = f"G{int(round(g))}"
elif g_is(g, 54.1):
p_value = by_letter.get("P", [None])[-1]
if p_value is None or exact_int(p_value, "P", line_number) <= 0:
raise EvaluationError(f"G54.1 requires positive P on line {line_number}")
wcs = f"G54.1 P{exact_int(p_value, 'P', line_number)}"
if "T" in by_letter:
selected_tool = exact_int(by_letter["T"][-1], "T", line_number)
if selected_tool <= 0:
raise EvaluationError(f"tool number must be positive on line {line_number}")
if 6 in m_codes:
if selected_tool is None:
raise EvaluationError(f"M6 without selected tool on line {line_number}")
active_tool = selected_tool
if "S" in by_letter:
spindle = by_letter["S"][-1]
if spindle <= 0:
raise EvaluationError(f"spindle speed must be positive on line {line_number}")
if 3 in m_codes or 4 in m_codes:
spindle_on = True
if 5 in m_codes:
spindle_on = False
if "F" in by_letter:
if units is None:
raise EvaluationError(f"feed appears before G20/G21 on line {line_number}")
feed = by_letter["F"][-1] * units
if feed <= 0:
raise EvaluationError(f"feed must be positive on line {line_number}")
if "H" in by_letter:
h_offset = exact_int(by_letter["H"][-1], "H", line_number)
if h_offset <= 0:
raise EvaluationError(f"H offset must be positive on line {line_number}")
if axis_present and (units is None or distance_mode is None):
raise EvaluationError(f"axis motion before explicit units and distance mode on line {line_number}")
initial = (x, y, z)
scale = units or 1.0
machine_coordinate_block = any(g_is(g, 28) or g_is(g, 53) for g in g_codes)
if machine_coordinate_block and active_cycle is not None:
raise EvaluationError(f"machine-coordinate motion cannot launch a drilling cycle on line {line_number}")
if machine_coordinate_block and axis_present:
# G28/G53 do not establish a point in the active work coordinate system.
# They may appear in a native post's safe-home sequence, but cannot
# supply approach, hole, depth, or retract evidence.
continue
if active_cycle is not None:
if distance_mode != 90:
raise EvaluationError(f"canned cycles require G90 in this evaluator on line {line_number}")
if "Z" in by_letter:
cycle_z = by_letter["Z"][-1] * scale
if "R" in by_letter:
cycle_r = by_letter["R"][-1] * scale
if "Q" in by_letter:
cycle_q = by_letter["Q"][-1] * scale
if "X" in by_letter:
x = by_letter["X"][-1] * scale
if "Y" in by_letter:
y = by_letter["Y"][-1] * scale
launches_cycle = any(g_is(g, candidate) for g in g_codes for candidate in (81, 82, 83)) or "X" in by_letter or "Y" in by_letter
if launches_cycle:
if cycle_z is None or cycle_r is None:
raise EvaluationError(f"incomplete canned cycle on line {line_number}")
if active_cycle == 83 and (cycle_q is None or cycle_q <= 0):
raise EvaluationError(f"G83 requires positive Q on line {line_number}")
retract_z = max(initial[2], cycle_r) if retract_mode == 98 else cycle_r
cycle_events.append(
DrillEvent(
line_number, x, y, cycle_z, initial[2], retract_z,
active_tool, spindle_on, spindle, feed, wcs,
length_comp, h_offset, f"G{active_cycle}",
)
)
z = retract_z
continue
if axis_present:
if motion is None:
raise EvaluationError(f"axis words before an explicit motion mode on line {line_number}")
values: dict[str, float] = {}
for axis in "XYZ":
if axis in by_letter:
values[axis] = by_letter[axis][-1] * scale
if distance_mode == 90:
x = values.get("X", x)
y = values.get("Y", y)
z = values.get("Z", z)
else:
x += values.get("X", 0.0)
y += values.get("Y", 0.0)
z += values.get("Z", 0.0)
records.append(
Record(
line_number, motion, initial, (x, y, z), active_tool,
spindle_on, spindle, feed, wcs, length_comp, h_offset,
)
)
if not saw_m30:
raise EvaluationError("M30 is required")
return Program(records, cycle_events, saw_m30)
def near_hole(x: float, y: float, hole: Hole) -> bool:
return math.hypot(x - hole.x, y - hole.y) <= XY_TOL_MM
def pure_vertical(record: Record) -> bool:
return (
math.hypot(record.end[0] - record.start[0], record.end[1] - record.start[1]) <= 0.05
)
def explicit_events(program: Program) -> list[DrillEvent]:
events: list[DrillEvent] = []
approach_z: float | None = None
plunge: Record | None = None
plunge_approach_z: float | None = None
def emit(retract_z: float | None) -> None:
nonlocal plunge, plunge_approach_z
if plunge is None:
return
events.append(
DrillEvent(
plunge.line, plunge.end[0], plunge.end[1], plunge.end[2],
plunge_approach_z if plunge_approach_z is not None else plunge.start[2],
retract_z, plunge.tool, plunge.spindle_on, plunge.spindle,
plunge.feed, plunge.wcs, plunge.length_comp,
plunge.h_offset, "explicit",
)
)
plunge = None
plunge_approach_z = None
for record in program.records:
if plunge is not None:
same_xy = math.hypot(record.end[0] - plunge.end[0], record.end[1] - plunge.end[1]) <= 0.05
if record.motion == 0 and same_xy and record.end[2] > plunge.end[2] + 0.5:
emit(record.end[2])
approach_z = record.end[2]
continue
if (
record.motion in (1, 2, 3)
and pure_vertical(record)
and same_xy
and record.end[2] < plunge.end[2] - 0.05
):
plunge = record
continue
if not same_xy:
emit(None)
if record.motion == 0:
approach_z = record.end[2]
elif (
record.motion in (1, 2, 3)
and pure_vertical(record)
and record.end[2] < record.start[2] - 0.05
):
plunge = record
plunge_approach_z = approach_z if approach_z is not None else record.start[2]
if plunge is not None:
emit(None)
return events
def state_is_valid(event: DrillEvent) -> bool:
return (
event.tool is not None
and event.tool > 0
and event.spindle_on
and event.spindle is not None
and event.spindle > 0
and event.feed is not None
and event.feed > 0
and event.wcs is not None
and event.length_comp
and event.h_offset is not None
and event.h_offset > 0
)
def choose_coordinate_frame(events: Iterable[DrillEvent]) -> tuple[float, dict[Hole, DrillEvent]]:
event_list = list(events)
valid_frames: list[tuple[float, dict[Hole, DrillEvent]]] = []
for top_z in (0.0, 12.0):
selected: dict[Hole, DrillEvent] = {}
frame_ok = True
for hole in HOLES:
matching = [event for event in event_list if near_hole(event.x, event.y, hole)]
expected_bottom = top_z - hole.depth
deepest_allowed = expected_bottom - (
THROUGH_TIP_COMP_MAX_MM if hole.kind == "through" else DEPTH_TOL_MM
)
shallowest_allowed = expected_bottom + DEPTH_TOL_MM
final = [
event
for event in matching
if deepest_allowed <= event.bottom_z <= shallowest_allowed
]
if len(final) != 1:
frame_ok = False
break
if any(event.bottom_z < deepest_allowed for event in matching):
frame_ok = False
break
selected[hole] = final[0]
if frame_ok:
valid_frames.append((top_z, selected))
if len(valid_frames) != 1:
raise EvaluationError("hole depths do not match exactly one supported WCS frame")
return valid_frames[0]
def validate_program(program: Program) -> dict[str, object]:
events = [*program.cycle_events, *explicit_events(program)]
if not events:
raise EvaluationError("no drilling operations found")
for event in events:
if not any(near_hole(event.x, event.y, hole) for hole in HOLES):
raise EvaluationError(f"unexpected drilling location near line {event.line}")
top_z, selected = choose_coordinate_frame(events)
diameter_tools: dict[float, set[int]] = {5.0: set(), 6.0: set()}
for hole, event in selected.items():
if not state_is_valid(event):
raise EvaluationError(f"invalid machining state for hole ({hole.x:g},{hole.y:g})")
if event.approach_z is None or event.approach_z < top_z + SAFE_CLEARANCE_MM:
raise EvaluationError(f"unsafe approach for hole ({hole.x:g},{hole.y:g})")
if event.retract_z is None or event.retract_z < top_z + SAFE_CLEARANCE_MM:
raise EvaluationError(f"unsafe retract for hole ({hole.x:g},{hole.y:g})")
diameter_tools[hole.diameter].add(int(event.tool))
if any(len(tools) != 1 for tools in diameter_tools.values()):
raise EvaluationError("each diameter group must use one consistent final drilling tool")
if diameter_tools[5.0] == diameter_tools[6.0]:
raise EvaluationError("5 mm and 6 mm holes require distinct final drilling tools")
return {
"coordinate_frame_top_z_mm": top_z,
"hole_count": len(selected),
"diameter_tools": {str(key): sorted(value) for key, value in diameter_tools.items()},
"methods": sorted({event.method for event in selected.values()}),
}
def validate_outputs(target: Path) -> tuple[Program, dict[str, object]]:
path = target / NC_NAME
if not path.is_file() or path.stat().st_size < 80:
raise EvaluationError(f"missing or empty {NC_NAME}")
source = path.read_text(encoding="utf-8", errors="strict")
program = parse_program(source)
summary = validate_program(program)
return program, summary
def is_relative_to(path: Path, parent: Path) -> bool:
try:
path.relative_to(parent)
return True
except ValueError:
return False
def load_trusted_provenance(target: Path, path: Path | None, expected_hash: str | None) -> dict[str, object]:
if path is None or expected_hash is None:
raise EvaluationError("trusted provenance path and hash must be injected by the evaluator host")
resolved = path.resolve(strict=True)
target_resolved = target.resolve()
writable_root = target_resolved
for candidate in (target_resolved, *target_resolved.parents):
if candidate.name.casefold() == "desktop":
writable_root = candidate
break
if is_relative_to(resolved, writable_root):
raise EvaluationError("provenance may not be read from the agent-writable target directory")
if not re.fullmatch(r"[0-9A-Fa-f]{64}", expected_hash):
raise EvaluationError("trusted provenance hash pin is malformed")
if sha256_file(resolved) != expected_hash.upper():
raise EvaluationError("trusted provenance file is absent or not host-pinned")
data = json.loads(resolved.read_text(encoding="utf-8"))
if not isinstance(data, dict):
raise EvaluationError("trusted provenance must be a JSON object")
return data
def expect_number(value: object, label: str) -> float:
if isinstance(value, bool) or not isinstance(value, (int, float)) or not math.isfinite(float(value)):
raise EvaluationError(f"{label} must be a finite number")
return float(value)
def validate_provenance(
data: dict[str, object],
target: Path,
expected_run_id: str,
nc_summary: dict[str, object],
) -> None:
if data.get("schema") != "engiworld.trusted-cam-run.v1":
raise EvaluationError("wrong provenance schema")
if data.get("run_id") != expected_run_id:
raise EvaluationError("provenance belongs to a stale or different evaluator run")
if data.get("authority") != "evaluator-host-monitor" or data.get("immutable") is not True:
raise EvaluationError("provenance is not trusted host evidence")
product = data.get("product")
if not isinstance(product, dict):
raise EvaluationError("missing native product evidence")
if str(product.get("name", "")).upper() != "SOLIDWORKS CAM" or int(product.get("major", 0)) != 2025:
raise EvaluationError("native product must be SOLIDWORKS CAM 2025")
if product.get("progid") != "SWCAM.CWApp" or product.get("addin_loaded") is not True:
raise EvaluationError("SOLIDWORKS CAM add-in identity was not captured")
inputs = data.get("formal_inputs")
if not isinstance(inputs, dict):
raise EvaluationError("missing formal input hashes")
for name, expected in FORMAL_INPUT_SHA256.items():
if str(inputs.get(name, "")).upper() != expected:
raise EvaluationError(f"wrong formal input hash for {name}")
output = data.get("output")
if not isinstance(output, dict) or output.get("name") != NC_NAME:
raise EvaluationError("missing posted output evidence")
if str(output.get("sha256", "")).upper() != sha256_file(target / NC_NAME):
raise EvaluationError("posted output hash mismatch")
if int(output.get("bytes", 0)) != (target / NC_NAME).stat().st_size:
raise EvaluationError("posted output size mismatch")
setup = data.get("setup")
if not isinstance(setup, dict):
raise EvaluationError("missing CAM setup evidence")
origin = setup.get("cad_origin_mm")
if origin != [0.0, 0.0, 12.0] or setup.get("tool_axis") != "-Z" or setup.get("work_offset") != "G54":
raise EvaluationError("wrong CAM setup transform")
post = data.get("postprocess")
if not isinstance(post, dict) or post.get("return_code") != 0:
raise EvaluationError("native postprocess did not succeed")
if not str(post.get("postprocessor", "")).lower().endswith(".ctl"):
raise EvaluationError("native .ctl postprocessor was not captured")
if not re.fullmatch(r"[0-9A-Fa-f]{64}", str(post.get("postprocessor_sha256", ""))):
raise EvaluationError("postprocessor hash is missing")
operations = data.get("operations")
if not isinstance(operations, list) or len(operations) != len(HOLES):
raise EvaluationError("native operation evidence must cover ten holes")
summary_tools = nc_summary.get("diameter_tools")
if not isinstance(summary_tools, dict):
raise EvaluationError("NC tool-group summary is missing")
for hole in HOLES:
matches = [
item for item in operations
if isinstance(item, dict)
and close(expect_number(item.get("x_mm"), "operation x"), hole.x, XY_TOL_MM)
and close(expect_number(item.get("y_mm"), "operation y"), hole.y, XY_TOL_MM)
]
if len(matches) != 1:
raise EvaluationError(f"native operation evidence is ambiguous for ({hole.x:g},{hole.y:g})")
item = matches[0]
if not close(expect_number(item.get("diameter_mm"), "operation diameter"), hole.diameter, 0.05):
raise EvaluationError("native operation diameter mismatch")
if not close(expect_number(item.get("depth_mm"), "operation depth"), hole.depth, DEPTH_TOL_MM):
raise EvaluationError("native operation depth mismatch")
if item.get("kind") != hole.kind or item.get("toolpath_generated") is not True:
raise EvaluationError("native operation lifecycle evidence is incomplete")
if int(item.get("tool_station", 0)) <= 0 or int(item.get("segment_count", 0)) <= 0:
raise EvaluationError("native tool or toolpath segment evidence is missing")
expected_stations = summary_tools.get(str(hole.diameter))
if expected_stations != [int(item.get("tool_station", 0))]:
raise EvaluationError("native operation tool station does not match the posted NC")
simulation = data.get("simulation")
if not isinstance(simulation, dict) or simulation.get("completed") is not True:
raise EvaluationError("native simulation was not completed")
if simulation.get("collision_free") is not True or simulation.get("all_holes_verified") is not True:
raise EvaluationError("native simulation did not verify the requested result")
def evaluate(
target: Path,
provenance_path: Path | None = None,
provenance_sha256: str | None = None,
expected_run_id: str | None = None,
) -> bool:
_program, nc_summary = validate_outputs(target)
if expected_run_id is None:
expected_run_id = os.environ.get("ENGIWORLD_TRUSTED_RUN_ID")
if not expected_run_id or not RUN_ID_RE.fullmatch(expected_run_id):
raise EvaluationError("trusted run id was not injected by the evaluator host")
provenance = load_trusted_provenance(target, provenance_path, provenance_sha256)
validate_provenance(provenance, target, expected_run_id, nc_summary)
return True
def main() -> bool:
try:
_program, nc_summary = validate_outputs(DEFAULT_TARGET)
provenance_path = os.environ.get("ENGIWORLD_TRUSTED_PROVENANCE")
provenance_sha256 = os.environ.get("ENGIWORLD_TRUSTED_PROVENANCE_SHA256")
expected_run_id = os.environ.get("ENGIWORLD_TRUSTED_RUN_ID")
supplied = [provenance_path, provenance_sha256, expected_run_id]
if any(supplied) and not all(supplied):
raise EvaluationError("trusted provenance injection is incomplete")
if all(supplied):
if not RUN_ID_RE.fullmatch(str(expected_run_id)):
raise EvaluationError("trusted run id is malformed")
provenance = load_trusted_provenance(
DEFAULT_TARGET, Path(str(provenance_path)), str(provenance_sha256)
)
validate_provenance(provenance, DEFAULT_TARGET, str(expected_run_id), nc_summary)
return True
except Exception:
return False
if __name__ == "__main__":
print("True" if main() else "False")
raise SystemExit(0)