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791"""Unit tests for the describe_image tool in page correction agents."""
from __future__ import annotations
import base64
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
pytestmark = pytest.mark.unit
from src.services.pipeline_viewer import PipelineViewerService
from src.services.pipeline_viewer_models import (
DocumentChange,
FigureData,
ImageDescriptionResult,
LayoutType,
OutlineEntry,
PageAttributes,
PageCorrectionResult,
PipelineViewerResult,
SectionCorrectionResult,
StructureResult,
)
# Patch targets — these are imported lazily inside methods
_BEDROCK_PATCH = "pydantic_ai.models.bedrock.BedrockConverseModel"
_AGENT_PATCH = "pydantic_ai.Agent"
@pytest.fixture
def service():
return PipelineViewerService()
@pytest.fixture
def sample_figure():
return FigureData(
ref_id="figure-1.png",
caption="Figure 1: Sample diagram",
page_number=1,
image_base64=base64.b64encode(b"fake-image-data").decode(),
)
@pytest.fixture
def sample_figure_2():
return FigureData(
ref_id="figure-2.png",
caption="Figure 2: Another diagram",
page_number=2,
image_base64=base64.b64encode(b"fake-image-data-2").decode(),
)
@pytest.fixture
def base_result(sample_figure):
return PipelineViewerResult(
filename="test.pdf",
total_pages=2,
versions={"v0": "# Intro\n\n\n\nHello world"},
page_images={"1": "AAAA", "2": "BBBB"},
page_markdowns={
"v0": {
"1": "# Intro\n\n\n\nHello world",
"2": "# Methods\n\nGoodbye",
},
},
figures=[sample_figure],
steps=[],
stats={},
)
@pytest.fixture
def structure_with_images():
return StructureResult(
page_attributes={
1: PageAttributes(layout=LayoutType.SINGLE_COLUMN, has_images=True),
2: PageAttributes(layout=LayoutType.SINGLE_COLUMN),
},
outline=[
OutlineEntry(level=2, text="Intro", page=1),
OutlineEntry(level=2, text="Methods", page=2),
],
footnotes=[],
)
@pytest.fixture
def structure_no_images():
return StructureResult(
page_attributes={
1: PageAttributes(layout=LayoutType.SINGLE_COLUMN, has_images=False),
2: PageAttributes(layout=LayoutType.SINGLE_COLUMN),
},
outline=[
OutlineEntry(level=2, text="Intro", page=1),
],
footnotes=[],
)
def _make_mock_agent():
"""Create a mock Agent that tracks tool_plain registrations."""
mock_agent = MagicMock()
mock_agent._registered_tools = []
def tool_plain(func=None, **kwargs):
if func is not None:
mock_agent._registered_tools.append(func.__name__)
return func
def decorator(f):
mock_agent._registered_tools.append(f.__name__)
return f
return decorator
mock_agent.tool_plain = tool_plain
async def mock_run(user_parts, **kwargs):
result = MagicMock()
result.output = None
usage = MagicMock()
usage.request_tokens = 100
usage.response_tokens = 50
result.usage.return_value = usage
return result
mock_agent.run = AsyncMock(side_effect=mock_run)
return mock_agent
class TestDescribeImageToolRegistration:
"""Test that describe_image is conditionally registered in page agent."""
@pytest.mark.asyncio
async def test_tool_registered_when_has_images_and_figures(
self, service, structure_with_images, sample_figure
):
"""describe_image should be registered when has_images=True and figures exist."""
mock_agent = _make_mock_agent()
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_page_agent(
page_num=1,
page_markdown="# Intro\n\n\n\nHello",
page_image_b64="AAAA",
structure=structure_with_images,
page_figures=[sample_figure],
)
assert "describe_image" in mock_agent._registered_tools
@pytest.mark.asyncio
async def test_tool_not_registered_when_no_figures(
self, service, structure_no_images
):
"""describe_image should NOT be registered when no figures."""
mock_agent = _make_mock_agent()
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_page_agent(
page_num=2,
page_markdown="# Methods\n\nGoodbye",
page_image_b64="BBBB",
structure=structure_no_images,
)
assert "describe_image" not in mock_agent._registered_tools
@pytest.mark.asyncio
async def test_tool_not_registered_when_has_images_but_no_page_figures(
self, service, structure_with_images
):
"""describe_image should NOT be registered when has_images but page_figures is None."""
mock_agent = _make_mock_agent()
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_page_agent(
page_num=1,
page_markdown="# Intro\n\n\n\nHello",
page_image_b64="AAAA",
structure=structure_with_images,
page_figures=None,
)
assert "describe_image" not in mock_agent._registered_tools
@pytest.mark.asyncio
async def test_describer_token_fields_on_result(
self, service, structure_with_images, sample_figure
):
"""Result should include describer token fields (0 when no actual calls)."""
mock_agent = _make_mock_agent()
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
result = await service._run_page_agent(
page_num=1,
page_markdown="# Intro\n\n\n\nHello",
page_image_b64="AAAA",
structure=structure_with_images,
page_figures=[sample_figure],
)
assert result.describer_input_tokens == 0
assert result.describer_output_tokens == 0
class TestImageDescriberSubagent:
"""Test the _run_image_describer method."""
@pytest.mark.asyncio
async def test_successful_description(self, service, sample_figure):
"""Should return formatted alt text instruction."""
mock_result = ImageDescriptionResult(
image_category="informative",
alt_text="Flowchart showing data processing steps",
is_decorative=False,
confidence="high",
reasoning="Clear diagram with labeled boxes",
)
mock_agent_result = MagicMock()
mock_agent_result.output = mock_result
mock_usage = MagicMock()
mock_usage.request_tokens = 500
mock_usage.response_tokens = 100
mock_agent_result.usage.return_value = mock_usage
token_updates = []
def track_tokens(inp, out):
token_updates.append((inp, out))
mock_agent = MagicMock()
mock_agent.run = AsyncMock(return_value=mock_agent_result)
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
result = await service._run_image_describer(
figure=sample_figure,
current_markdown="# Intro\n\n\n\nHello",
page_images={1: "AAAA"},
describer_tokens={"input": 0, "output": 0},
update_tokens=track_tokens,
)
assert "Flowchart showing data processing steps" in result
assert "figure-1.png" in result
assert token_updates == [(500, 100)]
@pytest.mark.asyncio
async def test_decorative_image(self, service, sample_figure):
"""Decorative images should return instruction for empty alt."""
mock_result = ImageDescriptionResult(
image_category="decorative",
alt_text="",
is_decorative=True,
confidence="high",
reasoning="Decorative border",
)
mock_agent_result = MagicMock()
mock_agent_result.output = mock_result
mock_usage = MagicMock()
mock_usage.request_tokens = 300
mock_usage.response_tokens = 50
mock_agent_result.usage.return_value = mock_usage
mock_agent = MagicMock()
mock_agent.run = AsyncMock(return_value=mock_agent_result)
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
result = await service._run_image_describer(
figure=sample_figure,
current_markdown="",
page_images={1: "AAAA"},
describer_tokens={"input": 0, "output": 0},
update_tokens=lambda i, o: None,
)
assert "decorative" in result.lower()
assert "empty" in result.lower()
@pytest.mark.asyncio
async def test_describer_failure_returns_error(self, service, sample_figure):
"""If the describer agent raises, should return error string."""
mock_agent = MagicMock()
mock_agent.run = AsyncMock(side_effect=RuntimeError("Model timeout"))
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
result = await service._run_image_describer(
figure=sample_figure,
current_markdown="",
page_images={1: "AAAA"},
describer_tokens={"input": 0, "output": 0},
update_tokens=lambda i, o: None,
)
assert "ERROR" in result
assert "figure-1.png" in result
@pytest.mark.asyncio
async def test_surrounding_text_extracted(self, service, sample_figure):
"""The describer should receive surrounding markdown context."""
captured_user_parts = []
mock_result = ImageDescriptionResult(
image_category="informative",
alt_text="Test alt",
is_decorative=False,
confidence="high",
)
mock_agent_result = MagicMock()
mock_agent_result.output = mock_result
mock_usage = MagicMock()
mock_usage.request_tokens = 100
mock_usage.response_tokens = 50
mock_agent_result.usage.return_value = mock_usage
mock_agent = MagicMock()
async def capture_run(user_parts, **kwargs):
captured_user_parts.extend(user_parts)
return mock_agent_result
mock_agent.run = AsyncMock(side_effect=capture_run)
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_image_describer(
figure=sample_figure,
current_markdown="Some text before\n\n\n\nSome text after",
page_images={1: "AAAA"},
describer_tokens={"input": 0, "output": 0},
update_tokens=lambda i, o: None,
)
# The last user part should be the text message with surrounding context
text_parts = [p for p in captured_user_parts if isinstance(p, str)]
assert any("figure-1.png" in p for p in text_parts)
class TestDescribeImageTokenTracking:
"""Test describer token aggregation in _step_page_content."""
@pytest.mark.asyncio
async def test_describer_tokens_aggregated(
self, service, base_result, structure_with_images
):
"""Describer tokens should be included in step totals."""
async def mock_run_page_agent(page_num, **kwargs):
describer_in = 500 if page_num == 1 else 0
describer_out = 100 if page_num == 1 else 0
return PageCorrectionResult(
page=page_num,
corrected_markdown=base_result.page_markdowns["v0"][str(page_num)],
changes=[],
issues=[],
input_tokens=200,
output_tokens=50,
describer_input_tokens=describer_in,
describer_output_tokens=describer_out,
)
service._run_page_agent = mock_run_page_agent
await service._step_page_content(base_result, structure_with_images)
step = base_result.steps[-1]
# Page agent tokens: 200*2=400 input, 50*2=100 output
# Describer tokens: 500 input, 100 output (only page 1)
# Combined: 900 input, 200 output
assert step.input_tokens == 900
assert step.output_tokens == 200
assert step.metadata["describer_input_tokens"] == 500
assert step.metadata["describer_output_tokens"] == 100
@pytest.mark.asyncio
async def test_describer_tokens_zero_when_no_images(
self, service, structure_no_images
):
"""Describer tokens should be 0 when no images in document."""
result = PipelineViewerResult(
filename="test.pdf",
total_pages=1,
versions={"v0": "# Intro\n\nHello world"},
page_images={"1": "AAAA"},
page_markdowns={"v0": {"1": "# Intro\n\nHello world"}},
figures=[],
steps=[],
stats={},
)
async def mock_run_page_agent(page_num, **kwargs):
return PageCorrectionResult(
page=page_num,
corrected_markdown=result.page_markdowns["v0"][str(page_num)],
changes=[],
issues=[],
input_tokens=200,
output_tokens=50,
)
service._run_page_agent = mock_run_page_agent
await service._step_page_content(result, structure_no_images)
step = result.steps[-1]
assert step.metadata["describer_input_tokens"] == 0
assert step.metadata["describer_output_tokens"] == 0
class TestDescribeImageModelDefaults:
"""Test model defaults for describer token fields."""
def test_section_correction_result_defaults(self):
"""SectionCorrectionResult should default describer tokens to 0."""
result = SectionCorrectionResult(
section_index=0,
heading_text="Test",
corrected_markdown="test",
pages=[1],
)
assert result.describer_input_tokens == 0
assert result.describer_output_tokens == 0
def test_page_correction_result_defaults(self):
"""PageCorrectionResult should default describer tokens to 0."""
result = PageCorrectionResult(
page=1,
corrected_markdown="test",
)
assert result.describer_input_tokens == 0
assert result.describer_output_tokens == 0
def test_image_description_result_defaults(self):
"""ImageDescriptionResult should have sensible defaults."""
result = ImageDescriptionResult(
image_category="informative", alt_text="A chart"
)
assert result.is_decorative is False
assert result.confidence == "high"
assert result.reasoning == ""
assert result.image_category == "informative"
class TestPageFigureFiltering:
"""Test that figures are correctly filtered per page."""
@pytest.mark.asyncio
async def test_figures_filtered_by_page(
self, service, sample_figure, sample_figure_2
):
"""Each page should only get figures from that page."""
result = PipelineViewerResult(
filename="test.pdf",
total_pages=2,
versions={"v0": "# Intro\n\n\n\n# Methods\n\n"},
page_images={"1": "AAAA", "2": "BBBB"},
page_markdowns={"v0": {"1": "page1", "2": "page2"}},
figures=[sample_figure, sample_figure_2],
steps=[],
stats={},
)
structure = StructureResult(
page_attributes={
1: PageAttributes(layout=LayoutType.SINGLE_COLUMN, has_images=True),
2: PageAttributes(layout=LayoutType.SINGLE_COLUMN, has_images=True),
},
outline=[
OutlineEntry(level=2, text="Intro", page=1),
OutlineEntry(level=2, text="Methods", page=2),
],
footnotes=[],
)
captured_figures: dict[int, list[str] | None] = {}
async def mock_run_page_agent(page_num, **kwargs):
pf = kwargs.get("page_figures")
if pf:
captured_figures[page_num] = [f.ref_id for f in pf]
else:
captured_figures[page_num] = None
return PageCorrectionResult(
page=page_num,
corrected_markdown=result.page_markdowns["v0"][str(page_num)],
changes=[],
issues=[],
)
service._run_page_agent = mock_run_page_agent
await service._step_page_content(result, structure)
assert captured_figures[1] == ["figure-1.png"]
assert captured_figures[2] == ["figure-2.png"]
@pytest.mark.asyncio
async def test_no_figures_passes_none(self, service):
"""Pages with no figures should get None."""
result = PipelineViewerResult(
filename="test.pdf",
total_pages=1,
versions={"v0": "# Intro\n\nHello"},
page_images={"1": "AAAA"},
page_markdowns={"v0": {"1": "# Intro\n\nHello"}},
figures=[],
steps=[],
stats={},
)
structure = StructureResult(
page_attributes={
1: PageAttributes(layout=LayoutType.SINGLE_COLUMN),
},
outline=[OutlineEntry(level=2, text="Intro", page=1)],
footnotes=[],
)
captured_figures = {}
async def mock_run_page_agent(page_num, **kwargs):
captured_figures[page_num] = kwargs.get("page_figures")
return PageCorrectionResult(
page=page_num,
corrected_markdown=result.page_markdowns["v0"][str(page_num)],
changes=[],
issues=[],
)
service._run_page_agent = mock_run_page_agent
await service._step_page_content(result, structure)
assert captured_figures[1] is None
class TestImageIsolation:
"""Test that the describer only receives the cropped figure, not the full page."""
@pytest.mark.asyncio
async def test_only_cropped_figure_sent_when_available(
self, service, sample_figure
):
"""When image_base64 is present, only the cropped figure is sent (no page image)."""
from pydantic_ai.messages import BinaryContent
captured_user_parts = []
mock_result = ImageDescriptionResult(
image_category="informative",
alt_text="Test",
is_decorative=False,
confidence="high",
)
mock_agent_result = MagicMock()
mock_agent_result.output = mock_result
mock_usage = MagicMock()
mock_usage.request_tokens = 100
mock_usage.response_tokens = 50
mock_agent_result.usage.return_value = mock_usage
mock_agent = MagicMock()
async def capture_run(user_parts, **kwargs):
captured_user_parts.extend(user_parts)
return mock_agent_result
mock_agent.run = AsyncMock(side_effect=capture_run)
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_image_describer(
figure=sample_figure,
current_markdown="",
page_images={1: "PAGE_IMAGE_B64"},
describer_tokens={"input": 0, "output": 0},
update_tokens=lambda i, o: None,
)
# Should have exactly 1 BinaryContent (the cropped figure) + 1 text message
binary_parts = [
p for p in captured_user_parts if isinstance(p, BinaryContent)
]
assert len(binary_parts) == 1
# Text should NOT contain fallback mode guidance
text_parts = [p for p in captured_user_parts if isinstance(p, str)]
assert not any("full page image" in p for p in text_parts)
@pytest.mark.asyncio
async def test_page_image_fallback_when_no_crop(self, service):
"""When image_base64 is empty, falls back to full page image with guidance."""
from pydantic_ai.messages import BinaryContent
figure_no_crop = FigureData(
ref_id="figure-3.png",
caption="Figure 3: No crop available",
page_number=1,
image_base64="", # Empty — Docling failed to extract
)
captured_user_parts = []
mock_result = ImageDescriptionResult(
image_category="informative",
alt_text="Fallback test",
is_decorative=False,
confidence="medium",
)
mock_agent_result = MagicMock()
mock_agent_result.output = mock_result
mock_usage = MagicMock()
mock_usage.request_tokens = 100
mock_usage.response_tokens = 50
mock_agent_result.usage.return_value = mock_usage
mock_agent = MagicMock()
async def capture_run(user_parts, **kwargs):
captured_user_parts.extend(user_parts)
return mock_agent_result
mock_agent.run = AsyncMock(side_effect=capture_run)
page_b64 = base64.b64encode(b"page-image-data").decode()
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_image_describer(
figure=figure_no_crop,
current_markdown="",
page_images={1: page_b64},
describer_tokens={"input": 0, "output": 0},
update_tokens=lambda i, o: None,
)
# Should have 1 BinaryContent (the page image fallback) + 1 text message
binary_parts = [
p for p in captured_user_parts if isinstance(p, BinaryContent)
]
assert len(binary_parts) == 1
# Text SHOULD contain fallback mode guidance
text_parts = [p for p in captured_user_parts if isinstance(p, str)]
assert any("full page image" in p for p in text_parts)
assert any("figure-3.png" in p for p in text_parts)
@pytest.mark.asyncio
async def test_no_images_sent_when_neither_available(self, service):
"""When both crop and page image are missing, only text is sent."""
from pydantic_ai.messages import BinaryContent
figure_no_crop = FigureData(
ref_id="figure-4.png",
caption="Figure 4: Ghost figure",
page_number=5,
image_base64="",
)
captured_user_parts = []
mock_result = ImageDescriptionResult(
image_category="informative",
alt_text="No image available",
is_decorative=False,
confidence="low",
)
mock_agent_result = MagicMock()
mock_agent_result.output = mock_result
mock_usage = MagicMock()
mock_usage.request_tokens = 50
mock_usage.response_tokens = 30
mock_agent_result.usage.return_value = mock_usage
mock_agent = MagicMock()
async def capture_run(user_parts, **kwargs):
captured_user_parts.extend(user_parts)
return mock_agent_result
mock_agent.run = AsyncMock(side_effect=capture_run)
with patch(_BEDROCK_PATCH), patch(_AGENT_PATCH, return_value=mock_agent):
await service._run_image_describer(
figure=figure_no_crop,
current_markdown="",
page_images={}, # No page images at all
describer_tokens={"input": 0, "output": 0},
update_tokens=lambda i, o: None,
)
binary_parts = [
p for p in captured_user_parts if isinstance(p, BinaryContent)
]
assert len(binary_parts) == 0
class TestImageClassification:
"""Test the image_category field on ImageDescriptionResult."""
def test_decorative_category(self):
result = ImageDescriptionResult(
image_category="decorative",
alt_text="",
is_decorative=True,
confidence="high",
reasoning="University logo in page header",
)
assert result.image_category == "decorative"
assert result.is_decorative is True
assert result.alt_text == ""
def test_informative_category(self):
result = ImageDescriptionResult(
image_category="informative",
alt_text="Eastern box turtle on forest floor",
is_decorative=False,
confidence="high",
)
assert result.image_category == "informative"
assert result.is_decorative is False
def test_complex_informative_category(self):
result = ImageDescriptionResult(
image_category="complex_informative",
alt_text="Bar chart showing enrollment growth from 450 to 680 students",
is_decorative=False,
confidence="high",
reasoning="Data visualization with multiple data points — long description recommended",
)
assert result.image_category == "complex_informative"
def test_invalid_category_rejected(self):
"""Invalid image_category values should be rejected by Pydantic."""
with pytest.raises(Exception):
ImageDescriptionResult(
image_category="unknown",
alt_text="Test",
)
class TestDescriberUserMessage:
"""Test the build_describer_user_message helper."""
def test_standard_mode(self):
from src.agents.prompts.image_description import (
build_describer_user_message,
)
msg = build_describer_user_message(
caption="Figure 1: Test",
surrounding_text="some context",
ref_id="figure-1.png",
)
assert "figure-1.png" in msg
assert "Figure 1: Test" in msg
assert "full page image" not in msg
assert "classify" in msg.lower()
def test_fallback_mode(self):
from src.agents.prompts.image_description import (
build_describer_user_message,
)
msg = build_describer_user_message(
caption="Figure 2: Chart",
surrounding_text="nearby text",
ref_id="figure-2.png",
fallback_mode=True,
)
assert "full page image" in msg
assert "figure-2.png" in msg
assert "ONLY that figure" in msg
def test_no_caption_or_context(self):
from src.agents.prompts.image_description import (
build_describer_user_message,
)
msg = build_describer_user_message(
caption="",
surrounding_text="",
ref_id="figure-5.png",
)
assert "figure-5.png" in msg
assert "Caption" not in msg
assert "Surrounding text" not in msg