CAD / evaluation /action_metrics.py
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# -*- coding: utf-8 -*-
"""Compare action types, coordinates, numeric inputs, and control sequences."""
from decimal import Decimal, InvalidOperation
import json
import math
import re
TYPE_NUMBER_PATTERN = re.compile(
r"[+-]?(?:(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?)"
)
def numeric_type_signature(value):
"""Normalize numeric spelling while preserving all keyboard controls."""
if not isinstance(value, str):
return None
normalized = value.replace("\r\n", "\n").replace("\r", "\n")
matches = list(TYPE_NUMBER_PATTERN.finditer(normalized))
if not matches:
return None
numbers = []
separators = []
cursor = 0
try:
for match in matches:
separators.append(normalized[cursor:match.start()])
number = Decimal(match.group(0))
if not number.is_finite():
return None
numbers.append(number)
cursor = match.end()
except InvalidOperation:
return None
separators.append(normalized[cursor:])
return tuple(numbers), tuple(separators)
def parameter_coordinates(value):
"""Decode a coordinate pair independently of the predicted action tag."""
candidate = value
if isinstance(candidate, str):
try:
candidate = json.loads(candidate.strip())
except Exception:
return None
if not isinstance(candidate, (list, tuple)) or len(candidate) != 2:
return None
try:
result = [float(candidate[0]), float(candidate[1])]
except (TypeError, ValueError):
return None
if not all(math.isfinite(item) for item in result):
return None
return result
def compare_to_reference(generated, expected, record=None,
screen_size=(1920, 1080)):
"""Compare two parsed actions using the canonical CAD-Drawer protocol."""
result = {
"action_match": generated.action == expected.action,
"parameter_match": False,
"step_success": False,
"full_match": False,
}
# Parameters use the reference action schema. Thus click and double_click
# at the same target can have Parameter=1 while Action=0 and Step=0.
if expected.action in ("click", "double_click"):
generated_coordinates = parameter_coordinates(generated.parameters)
if generated_coordinates is None:
return result
dx = generated_coordinates[0] - expected.parameters[0]
dy = generated_coordinates[1] - expected.parameters[1]
result["normalized_l2"] = round(math.hypot(dx, dy), 8)
result["pixel_l2_at_1920x1080"] = round(math.hypot(
dx * float(screen_size[0]), dy * float(screen_size[1])), 3)
bounds = None
if record is not None:
values = [record.get(name) for name in (
"x_min_norm", "x_max_norm", "y_min_norm", "y_max_norm")]
if all(value is not None for value in values):
bounds = [float(value) for value in values]
if bounds is not None:
x_min, x_max, y_min, y_max = bounds
result["parameter_match"] = (
x_min <= generated_coordinates[0] <= x_max and
y_min <= generated_coordinates[1] <= y_max
)
result["target_bbox_norm"] = bounds
else:
result["parameter_match"] = math.hypot(
dx * float(screen_size[0]),
dy * float(screen_size[1]),
) <= 5.0
elif expected.action == "type":
generated_signature = numeric_type_signature(generated.parameters)
expected_signature = numeric_type_signature(expected.parameters)
if generated_signature is not None and expected_signature is not None:
result["parameter_match"] = (
generated_signature == expected_signature)
result["parameter_match_mode"] = (
"numeric_value_and_control_sequence")
else:
generated_text = (
generated.parameters.replace("\r\n", "\n").replace("\r", "\n")
if isinstance(generated.parameters, str) else None)
expected_text = (
expected.parameters.replace("\r\n", "\n").replace("\r", "\n")
if isinstance(expected.parameters, str) else None)
result["parameter_match"] = generated_text == expected_text
result["parameter_match_mode"] = "exact_control_text"
else:
result["parameter_match"] = (
generated.parameters == expected.parameters)
result["step_success"] = (
result["action_match"] and result["parameter_match"])
result["full_match"] = result["step_success"]
return result