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Artemis-Eapil/tests/unit/agents/test_precondition_pixel_target.py
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chenmingxuan be6e8c2abd feat: release 2.2.0 with PC-only tests and execution reliability fixes
Unify task scheduling and queue state, fix Android input and observation recovery, preserve screenshot paths, and match final review criteria accurately. Add collapsible copyable results and publish the complete 2.1.0 upgrade notes. Validation: 3189 backend tests, 326 frontend tests, 24 client tests, production build and quality gates.
2026-10-27 01:13:41 +08:00

317 lines
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Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for pixel safety-net target descriptions."""
from pathlib import Path
from io import BytesIO
from unittest.mock import MagicMock
from unittest.mock import AsyncMock
import base64
import pytest
from PIL import Image
from PIL import ImageDraw
from artemis.agents.validator import precondition_pixel as pp
from langchain_core.messages import HumanMessage, SystemMessage
_PNG = b"fake-image-bytes"
def _encode_image(image):
buffer = BytesIO()
image.save(buffer, format="PNG")
return base64.b64encode(buffer.getvalue()).decode()
@pytest.mark.asyncio
@pytest.mark.parametrize("point", [[410, 2310], [1195, 251]])
async def test_pixel_judge_sees_device_target_in_each_resized_image(monkeypatch, point):
monkeypatch.setattr(pp, "_init_llm_and_prompt", lambda *a: (None, "prompt"))
completion = AsyncMock(
return_value={
"is_present": True,
"confidence": 0.99,
"target_kind": "control",
"target_matches": True,
}
)
monkeypatch.setattr(pp, "acomplete_structured", completion)
ctx = MagicMock()
ctx.device.device_width, ctx.device.device_height = 1280, 2856
reference = _encode_image(Image.new("RGB", (918, 2048), "white"))
session = AsyncMock()
session.screenshot_b64.return_value = _encode_image(Image.new("RGB", (640, 1428), "white"))
action = {"action": "tap", "coordinates": point.copy(), "target_text": "Input"}
verdict = await pp.validate_action_precondition_pixel(
ctx,
session,
action,
reference,
get_llm_fn=lambda: None,
)
assert verdict[0] is True
assert action["coordinates"] == point # Dispatch still uses native device pixels.
content = completion.await_args.args[1][1].content
images = [item["image_url"]["url"] for item in content if item["type"] == "image_url"]
assert len(images) == 2
for url in images:
with Image.open(BytesIO(base64.b64decode(url.split(",", 1)[1]))) as marked:
x = round(point[0] * marked.width / 1280)
y = round(point[1] * marked.height / 2856)
red, green, blue = marked.getpixel((x, y))
assert red > 180 and green < 60 and blue < 60
wrong = (min(point[0], marked.width - 1), min(point[1], marked.height - 1))
assert min(marked.getpixel(wrong)) > 200
@pytest.mark.asyncio
async def test_negative_cache_tracks_scaled_target_neighborhood(monkeypatch):
monkeypatch.setattr(pp, "_init_llm_and_prompt", lambda *a: (None, "prompt"))
attempt = AsyncMock(
return_value=(False, pp.ValidationErrorCategory.PIXEL_TARGET_DISAPPEARED, "missing")
)
monkeypatch.setattr(pp, "_run_attempt", attempt)
ctx = MagicMock()
ctx.device.device_width, ctx.device.device_height = 1280, 2856
image = Image.new("RGB", (918, 2048), "white")
frames = [_encode_image(image)]
ImageDraw.Draw(image).rectangle((260, 1620, 330, 1700), fill="blue")
frames.append(_encode_image(image))
ImageDraw.Draw(image).rectangle((0, 0, 20, 20), fill="black")
frames.append(_encode_image(image))
for frame in frames:
await pp.validate_action_precondition_pixel(
ctx,
AsyncMock(),
{"action": "tap", "coordinates": [410, 2310], "target_description": "Input"},
frame,
get_llm_fn=lambda: None,
)
assert attempt.await_count == 2
def test_changed_orientation_does_not_silently_move_marker():
image = base64.b64decode(_encode_image(Image.new("RGB", (2048, 918))))
with pytest.raises(ValueError, match="geometry changed"):
pp._annotate_target(image, [410, 2310], (1280, 2856))
@pytest.mark.asyncio
@pytest.mark.parametrize(
"response",
[
{"is_present": True, "confidence": 0.99, "target_kind": "surface", "target_matches": True},
{"is_present": True, "confidence": 0.99},
{"is_present": True, "confidence": 0.2, "target_kind": "control", "target_matches": True},
],
)
@pytest.mark.parametrize(
"target",
[
{"action": "tap", "target_text": "Input"},
{"action": "input_text", "target_description": "Input"},
],
)
async def test_named_input_is_never_approved_as_blank_or_unverified(response, target, monkeypatch):
monkeypatch.setattr(pp.visualization, "crop_and_annotate_target", lambda *a, **k: _PNG)
monkeypatch.setattr(pp, "acomplete_structured", AsyncMock(return_value=response))
session = AsyncMock()
session.screenshot_b64.return_value = base64.b64encode(_PNG).decode()
verdict = await pp._run_attempt(session, None, "prompt", _PNG, [1, 2], target, None, 1)
assert verdict[0] is False
@pytest.mark.asyncio
async def test_renaming_rejected_point_cannot_dispatch_again(monkeypatch):
monkeypatch.setattr(pp, "_init_llm_and_prompt", lambda *a: (None, "prompt"))
attempt = AsyncMock(
return_value=(False, pp.ValidationErrorCategory.PIXEL_TARGET_DISAPPEARED, "No input")
)
monkeypatch.setattr(pp, "_run_attempt", attempt)
ctx = MagicMock()
image = Image.new("RGB", (400, 400), "white")
frames = []
for color in ("black", "blue"):
image.putpixel((5, 5), Image.new("RGB", (1, 1), color).getpixel((0, 0)))
encoded = BytesIO()
image.save(encoded, format="PNG")
frames.append(base64.b64encode(encoded.getvalue()).decode())
for description, frame in zip(("pairing input", "blank surface"), frames, strict=True):
verdict = await pp.validate_action_precondition_pixel(
ctx,
AsyncMock(),
{"action": "tap", "coordinates": [200, 300], "target_description": description},
frame,
get_llm_fn=lambda: None,
)
assert verdict[0] is False
assert attempt.await_count == 1
@pytest.mark.asyncio
@pytest.mark.parametrize(
"screenshot_error", [RuntimeError("device offline"), TimeoutError("capture timeout")]
)
async def test_screenshot_failure_is_unavailable_and_preserves_cause(monkeypatch, screenshot_error):
monkeypatch.setattr(pp, "_init_llm_and_prompt", lambda *a: (None, "prompt"))
monkeypatch.setattr(pp.visualization, "crop_and_annotate_target", lambda *a, **k: _PNG)
monkeypatch.setattr(pp, "_RETRY_DELAY_SECONDS", 0)
complete = AsyncMock()
monkeypatch.setattr(pp, "acomplete_structured", complete)
session = AsyncMock()
session.screenshot_b64.side_effect = screenshot_error
ctx = MagicMock()
ctx.rejected_pixel_targets = {}
action = {"action": "tap", "coordinates": [200, 300], "target_text": "Projects"}
for _ in range(2):
passed, category, reason = await pp.validate_action_precondition_pixel(
ctx, session, action, base64.b64encode(_PNG).decode(), get_llm_fn=lambda: None
)
assert passed is False
assert category == pp.ValidationErrorCategory.PIXEL_VERIFICATION_UNAVAILABLE
assert str(screenshot_error) in reason
assert "action was not executed" in reason
assert session.screenshot_b64.await_count == 2 * pp._MAX_ATTEMPTS
assert not ctx.rejected_pixel_targets
complete.assert_not_awaited()
@pytest.mark.asyncio
async def test_model_failure_is_unavailable_without_losing_parse_error(monkeypatch):
monkeypatch.setattr(pp, "_init_llm_and_prompt", lambda *a: (None, "prompt"))
monkeypatch.setattr(pp.visualization, "crop_and_annotate_target", lambda *a, **k: _PNG)
monkeypatch.setattr(pp, "_RETRY_DELAY_SECONDS", 0)
monkeypatch.setattr(
pp, "acomplete_structured", AsyncMock(side_effect=ValueError("invalid response"))
)
session = AsyncMock()
session.screenshot_b64.return_value = base64.b64encode(_PNG).decode()
passed, category, reason = await pp.validate_action_precondition_pixel(
MagicMock(),
session,
{"action": "tap", "coordinates": [200, 300], "target_text": "Projects"},
base64.b64encode(_PNG).decode(),
get_llm_fn=lambda: None,
)
assert passed is False
assert category == pp.ValidationErrorCategory.PIXEL_VERIFICATION_UNAVAILABLE
assert "invalid response" in reason
def _texts(messages: list) -> list[str]:
human = messages[1]
return [part["text"] for part in human.content if part["type"] == "text"]
def test_named_control_target_block_precedes_images():
item = {
"action": "tap",
"coordinates": [1001, 718],
"target_text": "进入全屏模式",
"target_resource_id": "com.google.android.youtube:id/fullscreen_button",
"target_class": "android.widget.ImageView",
"target_bounds": [922, 655, 1080, 781],
}
state = MagicMock()
state.operator_native_thinking = "identified 进入全屏模式"
state.operator_raw_thinking = None
messages = pp._build_messages("SYSTEM", _PNG, _PNG, item, state)
assert isinstance(messages[0], SystemMessage)
assert isinstance(messages[1], HumanMessage)
first_text = messages[1].content[0]["text"]
assert first_text.startswith("[Target]")
assert "Kind: specific UI control" in first_text
assert "Label: 进入全屏模式" in first_text
assert "Resource ID: com.google.android.youtube:id/fullscreen_button" in first_text
assert "Class: android.widget.ImageView" in first_text
assert "[922, 655, 1080, 781]" in first_text
assert messages[1].content[1]["text"] == "[Image 1 (Reference)]"
assert any("Original Thinking" in t for t in _texts(messages))
assert any("Action: tap" in t for t in _texts(messages))
def test_coordinates_only_target_is_labelled_as_surface():
item = {"action": "tap", "coordinates": [540, 400]}
messages = pp._build_messages("SYSTEM", _PNG, _PNG, item, state=None)
first_text = messages[1].content[0]["text"]
assert "Kind: coordinates only" in first_text
# No hit test runs any more: the block states that nothing was recorded, it
# does not claim the point was looked up in the UI hierarchy.
assert "no target metadata recorded" in first_text
assert "UI hierarchy" not in first_text
assert "Label:" not in first_text
assert "Resource ID:" not in first_text
assert not any("Original Thinking" in t for t in _texts(messages))
def test_label_alone_counts_as_named_control():
item = {"action": "tap", "coordinates": [10, 10], "target_text": "Submit"}
text = pp._describe_target(item)
assert "Kind: specific UI control" in text
assert "Label: Submit" in text
assert "Resource ID" not in text
def test_unlabelled_indexed_element_is_still_a_control():
item = {
"action": "tap",
"coordinates": [1001, 718],
"target_class": "android.widget.ImageView",
"target_bounds": [922, 655, 1080, 781],
}
text = pp._describe_target(item)
assert "Kind: specific UI control" in text
assert "unlabelled" in text
assert "Class: android.widget.ImageView" in text
assert "[922, 655, 1080, 781]" in text
def test_described_coordinate_target_is_its_own_kind():
"""The model's description is presented as its belief, not as observed metadata."""
item = {"action": "tap", "coordinates": [540, 400], "target_description": "play button"}
text = pp._describe_target(item)
assert "Kind: described target" in text
assert "Operator's description: play button" in text
assert "Kind: specific UI control" not in text
assert "Label:" not in text
def test_observed_metadata_outranks_description():
item = {
"action": "tap",
"coordinates": [10, 10],
"target_text": "Submit",
"target_description": "ignored",
}
text = pp._describe_target(item)
assert "Kind: specific UI control" in text
assert "Label: Submit" in text
assert "described target" not in text
def test_prompt_rules_are_keyed_on_target_kind():
prompt = Path(pp.__file__).with_name("pixel_safety_net.md").read_text(encoding="utf-8")
assert "`Kind: specific UI control`" in prompt
assert "`Kind: described target`" in prompt
assert "`Kind: coordinates only`" in prompt
assert "hidden" in prompt
assert "Identify what appears under the red dot" in prompt