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''' | |
Adapted from https://github.com/google-research/google-research/tree/master/android_in_the_wild | |
''' | |
import jax | |
import jax.numpy as jnp | |
import numpy as np | |
# import action_type as action_type_lib | |
import enum | |
class ActionType(enum.IntEnum): | |
# Placeholders for unused enum values | |
UNUSED_0 = 0 | |
UNUSED_1 = 1 | |
UNUSED_2 = 2 | |
UNUSED_8 = 8 | |
UNUSED_9 = 9 | |
########### Agent actions ########### | |
# A type action that sends text to the emulator. Note that this simply sends | |
# text and does not perform any clicks for element focus or enter presses for | |
# submitting text. | |
TYPE = 3 | |
# The dual point action used to represent all gestures. | |
DUAL_POINT = 4 | |
# These actions differentiate pressing the home and back button from touches. | |
# They represent explicit presses of back and home performed using ADB. | |
PRESS_BACK = 5 | |
PRESS_HOME = 6 | |
# An action representing that ADB command for hitting enter was performed. | |
PRESS_ENTER = 7 | |
########### Episode status actions ########### | |
# An action used to indicate the desired task has been completed and resets | |
# the environment. This action should also be used in the case that the task | |
# has already been completed and there is nothing to do. | |
# e.g. The task is to turn on the Wi-Fi when it is already on | |
STATUS_TASK_COMPLETE = 10 | |
# An action used to indicate that desired task is impossible to complete and | |
# resets the environment. This can be a result of many different things | |
# including UI changes, Android version differences, etc. | |
STATUS_TASK_IMPOSSIBLE = 11 | |
_TAP_DISTANCE_THRESHOLD = 0.14 # Fraction of the screen | |
ANNOTATION_WIDTH_AUGMENT_FRACTION = 1.4 | |
ANNOTATION_HEIGHT_AUGMENT_FRACTION = 1.4 | |
# Interval determining if an action is a tap or a swipe. | |
_SWIPE_DISTANCE_THRESHOLD = 0.04 | |
def _yx_in_bounding_boxes( | |
yx, bounding_boxes | |
): | |
"""Check if the (y,x) point is contained in each bounding box. | |
Args: | |
yx: The (y, x) coordinate in pixels of the point. | |
bounding_boxes: A 2D int array of shape (num_bboxes, 4), where each row | |
represents a bounding box: (y_top_left, x_top_left, box_height, | |
box_width). Note: containment is inclusive of the bounding box edges. | |
Returns: | |
is_inside: A 1D bool array where each element specifies if the point is | |
contained within the respective box. | |
""" | |
y, x = yx | |
# `bounding_boxes` has shape (n_elements, 4); we extract each array along the | |
# last axis into shape (n_elements, 1), then squeeze unneeded dimension. | |
top, left, height, width = [ | |
jnp.squeeze(v, axis=-1) for v in jnp.split(bounding_boxes, 4, axis=-1) | |
] | |
# The y-axis is inverted for AndroidEnv, so bottom = top + height. | |
bottom, right = top + height, left + width | |
return jnp.logical_and(y >= top, y <= bottom) & jnp.logical_and( | |
x >= left, x <= right) | |
def _resize_annotation_bounding_boxes( | |
annotation_positions, annotation_width_augment_fraction, | |
annotation_height_augment_fraction): | |
"""Resize the bounding boxes by the given fractions. | |
Args: | |
annotation_positions: Array of shape (N, 4), where each row represents the | |
(y, x, height, width) of the bounding boxes. | |
annotation_width_augment_fraction: The fraction to augment the box widths, | |
E.g., 1.4 == 240% total increase. | |
annotation_height_augment_fraction: Same as described for width, but for box | |
height. | |
Returns: | |
Resized bounding box. | |
""" | |
height_change = ( | |
annotation_height_augment_fraction * annotation_positions[:, 2]) | |
width_change = ( | |
annotation_width_augment_fraction * annotation_positions[:, 3]) | |
# Limit bounding box positions to the screen. | |
resized_annotations = jnp.stack([ | |
jnp.maximum(0, annotation_positions[:, 0] - (height_change / 2)), | |
jnp.maximum(0, annotation_positions[:, 1] - (width_change / 2)), | |
jnp.minimum(1, annotation_positions[:, 2] + height_change), | |
jnp.minimum(1, annotation_positions[:, 3] + width_change), | |
], | |
axis=1) | |
return resized_annotations | |
def is_tap_action(normalized_start_yx, | |
normalized_end_yx): | |
distance = jnp.linalg.norm( | |
jnp.array(normalized_start_yx) - jnp.array(normalized_end_yx)) | |
return distance <= _SWIPE_DISTANCE_THRESHOLD | |
def _is_non_dual_point_action(action_type): | |
return jnp.not_equal(action_type, ActionType.DUAL_POINT) | |
def _check_tap_actions_match( | |
tap_1_yx, | |
tap_2_yx, | |
annotation_positions, | |
matching_tap_distance_threshold_screen_percentage, | |
annotation_width_augment_fraction, | |
annotation_height_augment_fraction, | |
): | |
"""Determines if two tap actions are the same.""" | |
resized_annotation_positions = _resize_annotation_bounding_boxes( | |
annotation_positions, | |
annotation_width_augment_fraction, | |
annotation_height_augment_fraction, | |
) | |
# Check if the ground truth tap action falls in an annotation's bounding box. | |
tap1_in_box = _yx_in_bounding_boxes(tap_1_yx, resized_annotation_positions) | |
tap2_in_box = _yx_in_bounding_boxes(tap_2_yx, resized_annotation_positions) | |
both_in_box = jnp.max(tap1_in_box & tap2_in_box) | |
# If the ground-truth tap action falls outside any of the annotation | |
# bounding boxes or one of the actions is inside a bounding box and the other | |
# is outside bounding box or vice versa, compare the points using Euclidean | |
# distance. | |
within_threshold = ( | |
jnp.linalg.norm(jnp.array(tap_1_yx) - jnp.array(tap_2_yx)) | |
<= matching_tap_distance_threshold_screen_percentage | |
) | |
return jnp.logical_or(both_in_box, within_threshold) | |
def _check_drag_actions_match( | |
drag_1_touch_yx, | |
drag_1_lift_yx, | |
drag_2_touch_yx, | |
drag_2_lift_yx, | |
): | |
"""Determines if two drag actions are the same.""" | |
# Store drag deltas (the change in the y and x coordinates from touch to | |
# lift), magnitudes, and the index of the main axis, which is the axis with | |
# the greatest change in coordinate value (e.g. a drag starting at (0, 0) and | |
# ending at (0.3, 0.5) has a main axis index of 1). | |
drag_1_deltas = drag_1_lift_yx - drag_1_touch_yx | |
drag_1_magnitudes = jnp.abs(drag_1_deltas) | |
drag_1_main_axis = np.argmax(drag_1_magnitudes) | |
drag_2_deltas = drag_2_lift_yx - drag_2_touch_yx | |
drag_2_magnitudes = jnp.abs(drag_2_deltas) | |
drag_2_main_axis = np.argmax(drag_2_magnitudes) | |
return jnp.equal(drag_1_main_axis, drag_2_main_axis) | |
def check_actions_match( | |
action_1_touch_yx, | |
action_1_lift_yx, | |
action_1_action_type, | |
action_2_touch_yx, | |
action_2_lift_yx, | |
action_2_action_type, | |
annotation_positions, | |
tap_distance_threshold = _TAP_DISTANCE_THRESHOLD, | |
annotation_width_augment_fraction = ANNOTATION_WIDTH_AUGMENT_FRACTION, | |
annotation_height_augment_fraction = ANNOTATION_HEIGHT_AUGMENT_FRACTION, | |
): | |
"""Determines if two actions are considered to be the same. | |
Two actions being "the same" is defined here as two actions that would result | |
in a similar screen state. | |
Args: | |
action_1_touch_yx: The (y, x) coordinates of the first action's touch. | |
action_1_lift_yx: The (y, x) coordinates of the first action's lift. | |
action_1_action_type: The action type of the first action. | |
action_2_touch_yx: The (y, x) coordinates of the second action's touch. | |
action_2_lift_yx: The (y, x) coordinates of the second action's lift. | |
action_2_action_type: The action type of the second action. | |
annotation_positions: The positions of the UI annotations for the screen. It | |
is A 2D int array of shape (num_bboxes, 4), where each row represents a | |
bounding box: (y_top_left, x_top_left, box_height, box_width). Note that | |
containment is inclusive of the bounding box edges. | |
tap_distance_threshold: The threshold that determines if two taps result in | |
a matching screen state if they don't fall the same bounding boxes. | |
annotation_width_augment_fraction: The fraction to increase the width of the | |
bounding box by. | |
annotation_height_augment_fraction: The fraction to increase the height of | |
of the bounding box by. | |
Returns: | |
A boolean representing whether the two given actions are the same or not. | |
""" | |
action_1_touch_yx = jnp.asarray(action_1_touch_yx) | |
action_1_lift_yx = jnp.asarray(action_1_lift_yx) | |
action_2_touch_yx = jnp.asarray(action_2_touch_yx) | |
action_2_lift_yx = jnp.asarray(action_2_lift_yx) | |
# Checks if at least one of the actions is global (i.e. not DUAL_POINT), | |
# because if that is the case, only the actions' types need to be compared. | |
has_non_dual_point_action = jnp.logical_or( | |
_is_non_dual_point_action(action_1_action_type), | |
_is_non_dual_point_action(action_2_action_type), | |
) | |
#print("non dual point: "+str(has_non_dual_point_action)) | |
different_dual_point_types = jnp.logical_xor( | |
is_tap_action(action_1_touch_yx, action_1_lift_yx), | |
is_tap_action(action_2_touch_yx, action_2_lift_yx), | |
) | |
#print("different dual type: "+str(different_dual_point_types)) | |
is_tap = jnp.logical_and( | |
is_tap_action(action_1_touch_yx, action_1_lift_yx), | |
is_tap_action(action_2_touch_yx, action_2_lift_yx), | |
) | |
#print("is tap: "+str(is_tap)) | |
taps_match = _check_tap_actions_match( | |
action_1_touch_yx, | |
action_2_touch_yx, | |
annotation_positions, | |
tap_distance_threshold, | |
annotation_width_augment_fraction, | |
annotation_height_augment_fraction, | |
) | |
#print("tap match: "+str(taps_match)) | |
taps_match = jnp.logical_and(is_tap, taps_match) | |
#print("tap match: "+str(taps_match)) | |
drags_match = _check_drag_actions_match( | |
action_1_touch_yx, action_1_lift_yx, action_2_touch_yx, action_2_lift_yx | |
) | |
drags_match = jnp.where(is_tap, False, drags_match) | |
#print("drag match: "+str(drags_match)) | |
return jnp.where( | |
has_non_dual_point_action, | |
jnp.equal(action_1_action_type, action_2_action_type), | |
jnp.where( | |
different_dual_point_types, | |
False, | |
jnp.logical_or(taps_match, drags_match), | |
), | |
) | |
def action_2_format(step_data): | |
# 把test数据集中的动作格式转换为计算matching score的格式 | |
action_type = step_data["action_type_id"] | |
if action_type == 4: | |
if step_data["action_type_text"] == 'click': # 点击 | |
touch_point = step_data["touch"] | |
lift_point = step_data["lift"] | |
else: # 上下左右滑动 | |
if step_data["action_type_text"] == 'scroll down': | |
touch_point = [0.5, 0.8] | |
lift_point = [0.5, 0.2] | |
elif step_data["action_type_text"] == 'scroll up': | |
touch_point = [0.5, 0.2] | |
lift_point = [0.5, 0.8] | |
elif step_data["action_type_text"] == 'scroll left': | |
touch_point = [0.2, 0.5] | |
lift_point = [0.8, 0.5] | |
elif step_data["action_type_text"] == 'scroll right': | |
touch_point = [0.8, 0.5] | |
lift_point = [0.2, 0.5] | |
else: | |
touch_point = [-1.0, -1.0] | |
lift_point = [-1.0, -1.0] | |
if action_type == 3: | |
typed_text = step_data["type_text"] | |
else: | |
typed_text = "" | |
action = {"action_type": action_type, "touch_point": touch_point, "lift_point": lift_point, | |
"typed_text": typed_text} | |
action["touch_point"] = [action["touch_point"][1], action["touch_point"][0]] | |
action["lift_point"] = [action["lift_point"][1], action["lift_point"][0]] | |
action["typed_text"] = action["typed_text"].lower() | |
return action | |
def pred_2_format(step_data): | |
# 把模型输出的内容转换为计算action_matching的格式 | |
action_type = step_data["action_type"] | |
if action_type == 4: # 点击 | |
action_type_new = 4 | |
touch_point = step_data["click_point"] | |
lift_point = step_data["click_point"] | |
typed_text = "" | |
elif action_type == 0: | |
action_type_new = 4 | |
touch_point = [0.5, 0.8] | |
lift_point = [0.5, 0.2] | |
typed_text = "" | |
elif action_type == 1: | |
action_type_new = 4 | |
touch_point = [0.5, 0.2] | |
lift_point = [0.5, 0.8] | |
typed_text = "" | |
elif action_type == 8: | |
action_type_new = 4 | |
touch_point = [0.2, 0.5] | |
lift_point = [0.8, 0.5] | |
typed_text = "" | |
elif action_type == 9: | |
action_type_new = 4 | |
touch_point = [0.8, 0.5] | |
lift_point = [0.2, 0.5] | |
typed_text = "" | |
else: | |
action_type_new = action_type | |
touch_point = [-1.0, -1.0] | |
lift_point = [-1.0, -1.0] | |
typed_text = "" | |
if action_type_new == 3: | |
typed_text = step_data["typed_text"] | |
action = {"action_type": action_type_new, "touch_point": touch_point, "lift_point": lift_point, | |
"typed_text": typed_text} | |
action["touch_point"] = [action["touch_point"][1], action["touch_point"][0]] | |
action["lift_point"] = [action["lift_point"][1], action["lift_point"][0]] | |
action["typed_text"] = action["typed_text"].lower() | |
return action | |
def pred_2_format_simplified(step_data): | |
# 把模型输出的内容转换为计算action_matching的格式 | |
action_type = step_data["action_type"] | |
if action_type == 'click' : # 点击 | |
action_type_new = 4 | |
touch_point = step_data["click_point"] | |
lift_point = step_data["click_point"] | |
typed_text = "" | |
elif action_type == 'scroll' and step_data["direction"] == 'down': | |
action_type_new = 4 | |
touch_point = [0.5, 0.8] | |
lift_point = [0.5, 0.2] | |
typed_text = "" | |
elif action_type == 'scroll' and step_data["direction"] == 'up': | |
action_type_new = 4 | |
touch_point = [0.5, 0.2] | |
lift_point = [0.5, 0.8] | |
typed_text = "" | |
elif action_type == 'scroll' and step_data["direction"] == 'left': | |
action_type_new = 4 | |
touch_point = [0.2, 0.5] | |
lift_point = [0.8, 0.5] | |
typed_text = "" | |
elif action_type == 'scroll' and step_data["direction"] == 'right': | |
action_type_new = 4 | |
touch_point = [0.8, 0.5] | |
lift_point = [0.2, 0.5] | |
typed_text = "" | |
elif action_type == 'type': | |
action_type_new = 3 | |
touch_point = [-1.0, -1.0] | |
lift_point = [-1.0, -1.0] | |
typed_text = step_data["text"] | |
elif action_type == 'navigate_back': | |
action_type_new = 5 | |
touch_point = [-1.0, -1.0] | |
lift_point = [-1.0, -1.0] | |
typed_text = "" | |
elif action_type == 'navigate_home': | |
action_type_new = 6 | |
touch_point = [-1.0, -1.0] | |
lift_point = [-1.0, -1.0] | |
typed_text = "" | |
else: | |
action_type_new = action_type | |
touch_point = [-1.0, -1.0] | |
lift_point = [-1.0, -1.0] | |
typed_text = "" | |
# if action_type_new == 'type': | |
# typed_text = step_data["text"] | |
action = {"action_type": action_type_new, "touch_point": touch_point, "lift_point": lift_point, | |
"typed_text": typed_text} | |
action["touch_point"] = [action["touch_point"][1], action["touch_point"][0]] | |
action["lift_point"] = [action["lift_point"][1], action["lift_point"][0]] | |
action["typed_text"] = action["typed_text"].lower() | |
return action |