Task 3 implementation #87
Conversation
Reviewer's GuideThis PR integrates OpenAI’s CLIP model into the labeled grid exporter by introducing a deferred‐loading CLIPLabeler and wiring it through the collection and assembly pipeline. It extends both the command‐line and HTTP API with new flags/endpoints for AI auto‐labeling, enriches the frontend with a GridExporter UI, and layers in comprehensive documentation and tests—all while preserving full backward compatibility. Sequence diagram for labeled grid creation with CLIP auto-labelingsequenceDiagram
actor User
participant Frontend as GridExporter UI
participant Backend as /api/create-labeled-grid
participant Exporter as labeled_grid_exporter.py
participant CLIP as CLIPLabeler (deferred)
User->>Frontend: Fill grid export form (optionally enable --use-clip)
Frontend->>Backend: POST /api/create-labeled-grid (use_clip=true)
Backend->>Exporter: assemble_grid_enhanced(..., use_clip=True)
Exporter->>CLIP: (if no CSV) generate_label(image)
CLIP-->>Exporter: AI-generated label
Exporter-->>Backend: Grid image + metadata
Backend-->>Frontend: JSON result (success, output_path, etc.)
Frontend-->>User: Show result, allow download
Entity relationship diagram for grid exporter data flowerDiagram
IMAGE ||--o{ GRID_IMAGE : included_in
CSV_METADATA ||--o{ IMAGE : describes
CLIP_LABEL ||--o{ IMAGE : labels
GRID_TEMPLATE ||--o{ GRID_IMAGE : configures
BATCH_PROCESS ||--o{ GRID_IMAGE : produces
IMAGE {
string filename
binary data
}
CSV_METADATA {
string filename
string[] columns
}
CLIP_LABEL {
string label
float confidence
}
GRID_IMAGE {
string path
int width
int height
}
GRID_TEMPLATE {
string name
int rows
int cols
int cell_width
int cell_height
}
BATCH_PROCESS {
string[] input_dirs
string output_dir
}
Class diagram for labeled grid exporter with CLIP integrationclassDiagram
class CLIPLabeler {
-model_name: str
-device: str
-model
-processor
-tokenizer
-_is_loaded: bool
+generate_label(image: Image, max_length: int): str
+batch_generate_labels(images: List[Image], max_length: int): List[str]
}
class ImagePreprocessor {
+resize_image(image, target_size, mode)
+crop_image(image, crop_box)
+apply_filter(image, filter_type, strength)
+adjust_brightness(image, factor)
+adjust_contrast(image, factor)
+adjust_saturation(image, factor)
}
class GridTemplate {
+name: str
+rows: int
+cols: int
+cell_size: Tuple[int, int]
+margin: int
+font_size: int
+to_dict(): Dict
+from_dict(data: Dict): GridTemplate
}
class BatchProcessor {
+output_base_dir: str
+process_batch(input_dirs, template, ...): List[Dict]
}
class LabeledGridExporterNode {
+create_labeled_grid(...)
}
class BatchLabeledGridExporterNode {
+create_batch_grids(...)
}
CLIPLabeler <.. assemble_grid_enhanced : uses
ImagePreprocessor <.. assemble_grid_enhanced : used for preprocessing
GridTemplate <.. assemble_grid_enhanced : used for layout
BatchProcessor <.. assemble_grid_enhanced : batch mode
LabeledGridExporterNode <.. assemble_grid_enhanced : calls
BatchLabeledGridExporterNode <.. assemble_grid_enhanced : calls
File-Level Changes
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Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. WalkthroughThis update introduces a comprehensive "Grid Exporter" feature to the project, spanning backend and frontend. The backend adds labeled grid exporting utilities, CLIP-based auto-labeling, sample/demo scripts, and extensive tests. The frontend implements an interactive Grid Exporter UI, integrates it into navigation, and provides presets. Documentation, test fixtures, and changelogs are updated accordingly. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Frontend (GridExporter)
participant Backend API
participant Grid Exporter Utility
participant CLIP Model (optional)
User->>Frontend (GridExporter): Configure grid, upload/select images, set options
Frontend (GridExporter)->>Backend API: POST /api/create-labeled-grid (with config, images, options)
Backend API->>Grid Exporter Utility: Validate input, read images/metadata
alt Use CLIP labeling
Grid Exporter Utility->>CLIP Model: Generate labels for images
CLIP Model-->>Grid Exporter Utility: Return AI-generated labels
end
Grid Exporter Utility->>Backend API: Return grid image path & metadata
Backend API-->>Frontend (GridExporter): Respond with grid image info
Frontend (GridExporter)-->>User: Show/download grid image, display result
Estimated code review effort🎯 5 (Critical) | ⏱️ ~75–120 minutes Poem
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![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
There was a problem hiding this comment.
Hey @saitarunreddye - I've reviewed your changes and found some issues that need to be addressed.
Blocking issues:
- Using 'tmp_file.name' without '.flush()' or '.close()' may cause an error because the file may not exist when 'tmp_file.name' is used. Use '.flush()' or close the file before using 'tmp_file.name'. (link)
- Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. (link)
- No check for file extension or path traversal in template loading. (link)
General comments:
- I see two nearly identical implementations of
labeled_grid_exporter.pyunder different paths—please consolidate them into a single shared module to avoid duplication and ensure a single source of truth. - The current file mixes core grid logic, CLI parsing, and Flask API routes in one large script—consider splitting those concerns into separate modules (e.g. a core library, CLI entrypoint, and API handlers) for better maintainability.
- Some of the new Flask endpoints reference
osand other modules but don’t import them—double-check that all dependencies are imported indream_layer.pyto prevent runtime errors.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- I see two nearly identical implementations of `labeled_grid_exporter.py` under different paths—please consolidate them into a single shared module to avoid duplication and ensure a single source of truth.
- The current file mixes core grid logic, CLI parsing, and Flask API routes in one large script—consider splitting those concerns into separate modules (e.g. a core library, CLI entrypoint, and API handlers) for better maintainability.
- Some of the new Flask endpoints reference `os` and other modules but don’t import them—double-check that all dependencies are imported in `dream_layer.py` to prevent runtime errors.
## Individual Comments
### Comment 1
<location> `dream_layer_backend/dream_layer.py:611` </location>
<code_context>
+ # Grid template parameters
+ rows = data.get('rows')
+ cols = data.get('cols')
+ cell_size = tuple(data.get('cell_size', [256, 256]))
+ font_size = data.get('font_size', 16)
+ margin = data.get('margin', 10)
</code_context>
<issue_to_address>
cell_size is not validated for positive integer values.
Validate that both width and height in cell_size are positive integers to prevent grid creation errors.
</issue_to_address>
### Comment 2
<location> `dream_layer_backend/dream_layer.py:751` </location>
<code_context>
+ }), 400
+
+ # Create template directory if it doesn't exist
+ template_dir = os.path.join(os.getcwd(), 'templates')
+ os.makedirs(template_dir, exist_ok=True)
+
</code_context>
<issue_to_address>
Templates are saved to a fixed directory relative to the current working directory.
Using os.getcwd() can lead to issues if the working directory changes. Consider specifying a fixed or configurable directory for templates instead.
</issue_to_address>
<suggested_fix>
<<<<<<< SEARCH
# Create template directory if it doesn't exist
template_dir = os.path.join(os.getcwd(), 'templates')
os.makedirs(template_dir, exist_ok=True)
=======
# Create template directory if it doesn't exist
# Use a fixed or configurable directory for templates
TEMPLATE_DIR = os.environ.get('TEMPLATE_DIR', '/var/dream_layer/templates')
os.makedirs(TEMPLATE_DIR, exist_ok=True)
template_dir = TEMPLATE_DIR
>>>>>>> REPLACE
</suggested_fix>
### Comment 3
<location> `dream_layer_backend/dream_layer.py:798` </location>
<code_context>
+ template_dir = os.path.join(os.getcwd(), 'templates')
+ filepath = os.path.join(template_dir, f"{filename}.json")
+
+ if not os.path.exists(filepath):
+ return jsonify({
+ "status": "error",
</code_context>
<issue_to_address>
No check for file extension or path traversal in template loading.
Sanitize the filename and restrict allowed extensions to prevent path traversal or loading unintended files.
</issue_to_address>
### Comment 4
<location> `dream_layer_frontend/src/features/GridExporter/index.tsx:266` </location>
<code_context>
+ }
+ };
+
+ const handleDownloadResult = () => {
+ if (lastResult?.output_path) {
+ const link = document.createElement('a');
</code_context>
<issue_to_address>
Attempting to download using file:// URLs will not work in browsers.
Browsers block file:// downloads for security reasons. Please use a backend endpoint to serve the file or guide users to access it directly on disk.
</issue_to_address>
### Comment 5
<location> `dream_layer_backend_utils/comfyui_custom_node.py:93` </location>
<code_context>
+ bg_color = (255, 255, 255)
+
+ # Parse label columns
+ label_cols = [col.strip() for col in label_columns.split(",") if col.strip()]
+
+ # Create temporary directory for processing
</code_context>
<issue_to_address>
Label columns parsing may result in an empty list.
If label_columns is empty or only commas, label_cols will be empty, which may cause downstream errors. Consider setting a default or raising an error when the list is empty.
</issue_to_address>
<suggested_fix>
<<<<<<< SEARCH
# Parse label columns
label_cols = [col.strip() for col in label_columns.split(",") if col.strip()]
=======
# Parse label columns
label_cols = [col.strip() for col in label_columns.split(",") if col.strip()]
if not label_cols:
raise ValueError("No label columns provided. Please specify at least one label column.")
>>>>>>> REPLACE
</suggested_fix>
### Comment 6
<location> `demo_images/create_demo_images.py:34` </location>
<code_context>
+
+ # Add some artistic elements
+ # Gradient effect
+ for y in range(512):
+ alpha = int(255 * (1 - y / 512) * 0.3)
+ overlay = Image.new('RGBA', (512, 1), (255, 255, 255, alpha))
+ img.paste(overlay, (0, y), overlay)
+
+ # Add decorative pattern
</code_context>
<issue_to_address>
Inefficient per-row gradient overlay loop.
Generating and compositing a single gradient image would improve performance, especially with large images.
</issue_to_address>
<suggested_fix>
<<<<<<< SEARCH
# Add some artistic elements
# Gradient effect
for y in range(512):
alpha = int(255 * (1 - y / 512) * 0.3)
overlay = Image.new('RGBA', (512, 1), (255, 255, 255, alpha))
img.paste(overlay, (0, y), overlay)
# Add decorative pattern
=======
# Add some artistic elements
# Gradient effect (efficient single-image overlay)
gradient = Image.new('RGBA', (512, 512))
for y in range(512):
alpha = int(255 * (1 - y / 512) * 0.3)
for x in range(512):
gradient.putpixel((x, y), (255, 255, 255, alpha))
img = img.convert('RGBA')
img = Image.alpha_composite(img, gradient)
img = img.convert('RGB')
# Add decorative pattern
>>>>>>> REPLACE
</suggested_fix>
### Comment 7
<location> `dream_layer_backend/tests/test_clip_integration.py:247` </location>
<code_context>
+ except Exception as e:
+ pytest.skip(f"CLIP model not available: {e}")
+
+ def test_clip_fallback_behavior(self):
+ """Test CLIP fallback behavior when model fails."""
+ # Test with invalid model name - should handle gracefully
</code_context>
<issue_to_address>
Test fallback to filename labeling when both CSV and CLIP are unavailable.
Please add a test case for when both CSV metadata and CLIP are unavailable to verify fallback to filename labeling.
</issue_to_address>
<suggested_fix>
<<<<<<< SEARCH
def test_clip_fallback_behavior(self):
"""Test CLIP fallback behavior when model fails."""
# Test with invalid model name - should handle gracefully
labeler = CLIPLabeler(model_name="invalid/model/name")
# Should return "unlabeled" when model fails to load
from unittest.mock import Mock
result = labeler.generate_label(Mock())
assert result == "unlabeled"
=======
def test_clip_fallback_behavior(self):
"""Test CLIP fallback behavior when model fails."""
# Test with invalid model name - should handle gracefully
labeler = CLIPLabeler(model_name="invalid/model/name")
# Should return "unlabeled" when model fails to load
from unittest.mock import Mock
result = labeler.generate_label(Mock())
assert result == "unlabeled"
def test_fallback_to_filename_labeling(self, tmp_path):
"""Test fallback to filename labeling when both CSV and CLIP are unavailable."""
# Create a dummy image file
img_path = tmp_path / "test_image_42.jpg"
img_path.write_bytes(b"fakeimagedata")
# Simulate no CSV metadata and CLIP unavailable
# We'll assume collect_images uses CLIPLabeler and falls back to filename
from dream_layer_backend.image_collection import collect_images
# Patch CLIPLabeler to always fail
from unittest.mock import patch
with patch("dream_layer_backend.image_collection.CLIPLabeler") as MockCLIPLabeler:
instance = MockCLIPLabeler.return_value
instance.generate_label.return_value = None # Simulate CLIP failure
images, labels = collect_images(str(tmp_path), label_method="clip")
assert len(images) == 1
assert labels[0] == "test_image_42"
>>>>>>> REPLACE
</suggested_fix>
### Comment 8
<location> `dream_layer_backend/tests/test_clip_integration.py:317` </location>
<code_context>
+ except Exception as e:
+ pytest.skip(f"CLIP model not available: {e}")
+
+ def test_assemble_grid_enhanced_clip_vs_csv_priority(self, test_images_dir, output_dir):
+ """Test that CSV labels take priority over CLIP labels."""
+ # Create a simple CSV file
</code_context>
<issue_to_address>
Add assertions to verify that CSV labels are actually used over CLIP labels.
Please add assertions to check that the output grid uses the CSV labels, not the CLIP-generated ones, to ensure the priority logic is correctly tested.
</issue_to_address>
### Comment 9
<location> `dream_layer_backend/tests/test_clip_integration.py:347` </location>
<code_context>
+ except Exception as e:
+ pytest.skip(f"CLIP model not available: {e}")
+
+ def test_clip_model_variants(self, test_images_dir, output_dir):
+ """Test different CLIP model variants."""
+ clip_models = [
</code_context>
<issue_to_address>
Consider parametrizing the test for CLIP model variants.
Using pytest.mark.parametrize will improve test report clarity and make it easier to identify which model variant fails.
</issue_to_address>
### Comment 10
<location> `dream_layer_backend/tests/test_clip_integration.py:398` </location>
<code_context>
+ assert result['status'] == 'success'
+ print(f"Error handling test completed: {result}")
+
+ def test_clip_performance_benchmark(self, test_images_dir):
+ """Benchmark CLIP performance with multiple images."""
+ try:
</code_context>
<issue_to_address>
Performance benchmark test should have a threshold assertion.
Add an assertion to verify that batch processing is at least as fast as individual processing to ensure performance improvements are maintained.
Suggested implementation:
```python
def test_clip_performance_benchmark(self, test_images_dir):
"""Benchmark CLIP performance with multiple images."""
import time
try:
```
```python
try:
# Prepare test images
import glob
import os
image_paths = glob.glob(os.path.join(test_images_dir, "*.jpg"))
if len(image_paths) < 2:
pytest.skip("Not enough images for performance benchmark.")
# Individual processing
from dream_layer_backend.clip_integration import process_image_with_clip
start_individual = time.time()
for img_path in image_paths:
_ = process_image_with_clip(img_path)
duration_individual = time.time() - start_individual
# Batch processing
from dream_layer_backend.clip_integration import process_images_with_clip_batch
start_batch = time.time()
_ = process_images_with_clip_batch(image_paths)
duration_batch = time.time() - start_batch
print(f"Individual processing time: {duration_individual:.4f}s")
print(f"Batch processing time: {duration_batch:.4f}s")
# Assert that batch processing is at least as fast as individual processing
assert duration_batch <= duration_individual, (
f"Batch processing ({duration_batch:.4f}s) should be at least as fast as individual processing ({duration_individual:.4f}s)"
)
```
</issue_to_address>
## Security Issues
### Issue 1
<location> `dream_layer_backend/dream_layer.py:880` </location>
<issue_to_address>
**security (python.lang.correctness.tempfile.tempfile-without-flush):** Using 'tmp_file.name' without '.flush()' or '.close()' may cause an error because the file may not exist when 'tmp_file.name' is used. Use '.flush()' or close the file before using 'tmp_file.name'.
*Source: opengrep*
</issue_to_address>
### Issue 2
<location> `dream_layer_backend/run_grid_exporter_tests.py:24` </location>
<issue_to_address>
**security (python.lang.security.audit.dangerous-subprocess-use-audit):** Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'.
*Source: opengrep*
</issue_to_address>Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| # Grid template parameters | ||
| rows = data.get('rows') | ||
| cols = data.get('cols') | ||
| cell_size = tuple(data.get('cell_size', [256, 256])) |
There was a problem hiding this comment.
issue (bug_risk): cell_size is not validated for positive integer values.
Validate that both width and height in cell_size are positive integers to prevent grid creation errors.
| # Create template directory if it doesn't exist | ||
| template_dir = os.path.join(os.getcwd(), 'templates') | ||
| os.makedirs(template_dir, exist_ok=True) |
There was a problem hiding this comment.
suggestion: Templates are saved to a fixed directory relative to the current working directory.
Using os.getcwd() can lead to issues if the working directory changes. Consider specifying a fixed or configurable directory for templates instead.
| # Create template directory if it doesn't exist | |
| template_dir = os.path.join(os.getcwd(), 'templates') | |
| os.makedirs(template_dir, exist_ok=True) | |
| # Create template directory if it doesn't exist | |
| # Use a fixed or configurable directory for templates | |
| TEMPLATE_DIR = os.environ.get('TEMPLATE_DIR', '/var/dream_layer/templates') | |
| os.makedirs(TEMPLATE_DIR, exist_ok=True) | |
| template_dir = TEMPLATE_DIR |
| template_dir = os.path.join(os.getcwd(), 'templates') | ||
| filepath = os.path.join(template_dir, f"{filename}.json") | ||
|
|
||
| if not os.path.exists(filepath): |
There was a problem hiding this comment.
🚨 issue (security): No check for file extension or path traversal in template loading.
Sanitize the filename and restrict allowed extensions to prevent path traversal or loading unintended files.
| } | ||
| }; | ||
|
|
||
| const handleDownloadResult = () => { |
There was a problem hiding this comment.
issue (bug_risk): Attempting to download using file:// URLs will not work in browsers.
Browsers block file:// downloads for security reasons. Please use a backend endpoint to serve the file or guide users to access it directly on disk.
| # Parse label columns | ||
| label_cols = [col.strip() for col in label_columns.split(",") if col.strip()] |
There was a problem hiding this comment.
suggestion (bug_risk): Label columns parsing may result in an empty list.
If label_columns is empty or only commas, label_cols will be empty, which may cause downstream errors. Consider setting a default or raising an error when the list is empty.
| # Parse label columns | |
| label_cols = [col.strip() for col in label_columns.split(",") if col.strip()] | |
| # Parse label columns | |
| label_cols = [col.strip() for col in label_columns.split(",") if col.strip()] | |
| if not label_cols: | |
| raise ValueError("No label columns provided. Please specify at least one label column.") |
| if (i + j) % 100 == 0: | ||
| draw.rectangle([i, j, i+25, j+25], fill="white") |
There was a problem hiding this comment.
issue (code-quality): Avoid conditionals in tests. (no-conditionals-in-tests)
Explanation
Avoid complex code, like conditionals, in test functions.Google's software engineering guidelines says:
"Clear tests are trivially correct upon inspection"
To reach that avoid complex code in tests:
- loops
- conditionals
Some ways to fix this:
- Use parametrized tests to get rid of the loop.
- Move the complex logic into helpers.
- Move the complex part into pytest fixtures.
Complexity is most often introduced in the form of logic. Logic is defined via the imperative parts of programming languages such as operators, loops, and conditionals. When a piece of code contains logic, you need to do a bit of mental computation to determine its result instead of just reading it off of the screen. It doesn't take much logic to make a test more difficult to reason about.
Software Engineering at Google / Don't Put Logic in Tests
| for record in records.values(): | ||
| assert all(col in record for col in expected_columns) |
There was a problem hiding this comment.
issue (code-quality): Avoid loops in tests. (no-loop-in-tests)
Explanation
Avoid complex code, like loops, in test functions.Google's software engineering guidelines says:
"Clear tests are trivially correct upon inspection"
To reach that avoid complex code in tests:
- loops
- conditionals
Some ways to fix this:
- Use parametrized tests to get rid of the loop.
- Move the complex logic into helpers.
- Move the complex part into pytest fixtures.
Complexity is most often introduced in the form of logic. Logic is defined via the imperative parts of programming languages such as operators, loops, and conditionals. When a piece of code contains logic, you need to do a bit of mental computation to determine its result instead of just reading it off of the screen. It doesn't take much logic to make a test more difficult to reason about.
Software Engineering at Google / Don't Put Logic in Tests
| for info in images_info: | ||
| assert "path" in info | ||
| assert "filename" in info | ||
| assert "metadata" in info | ||
| assert "seed" in info["metadata"] | ||
| assert "sampler" in info["metadata"] | ||
| assert "steps" in info["metadata"] | ||
| assert "cfg" in info["metadata"] | ||
| assert "model" in info["metadata"] | ||
|
|
||
| # Verify path is correct | ||
| assert os.path.exists(info["path"]) | ||
| assert os.path.basename(info["path"]) == info["filename"] |
There was a problem hiding this comment.
issue (code-quality): Avoid loops in tests. (no-loop-in-tests)
Explanation
Avoid complex code, like loops, in test functions.Google's software engineering guidelines says:
"Clear tests are trivially correct upon inspection"
To reach that avoid complex code in tests:
- loops
- conditionals
Some ways to fix this:
- Use parametrized tests to get rid of the loop.
- Move the complex logic into helpers.
- Move the complex part into pytest fixtures.
Complexity is most often introduced in the form of logic. Logic is defined via the imperative parts of programming languages such as operators, loops, and conditionals. When a piece of code contains logic, you need to do a bit of mental computation to determine its result instead of just reading it off of the screen. It doesn't take much logic to make a test more difficult to reason about.
Software Engineering at Google / Don't Put Logic in Tests
| for info in images_info: | ||
| assert "path" in info | ||
| assert "filename" in info | ||
| assert "metadata" in info | ||
| assert os.path.exists(info["path"]) |
There was a problem hiding this comment.
issue (code-quality): Avoid loops in tests. (no-loop-in-tests)
Explanation
Avoid complex code, like loops, in test functions.Google's software engineering guidelines says:
"Clear tests are trivially correct upon inspection"
To reach that avoid complex code in tests:
- loops
- conditionals
Some ways to fix this:
- Use parametrized tests to get rid of the loop.
- Move the complex logic into helpers.
- Move the complex part into pytest fixtures.
Complexity is most often introduced in the form of logic. Logic is defined via the imperative parts of programming languages such as operators, loops, and conditionals. When a piece of code contains logic, you need to do a bit of mental computation to determine its result instead of just reading it off of the screen. It doesn't take much logic to make a test more difficult to reason about.
Software Engineering at Google / Don't Put Logic in Tests
| pixels = list(rgb_img.getdata()) | ||
|
|
||
| # Count non-white pixels (assuming white background) | ||
| non_white_pixels = sum(1 for pixel in pixels if pixel != (255, 255, 255)) |
There was a problem hiding this comment.
suggestion (code-quality): Simplify constant sum() call (simplify-constant-sum)
| non_white_pixels = sum(1 for pixel in pixels if pixel != (255, 255, 255)) | |
| non_white_pixels = sum(bool(pixel != (255, 255, 255)) |
Explanation
Assum add the values it treats True as 1, and False as 0. We make useof this fact to simplify the generator expression inside the
sum call.
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 46
🧹 Nitpick comments (51)
dream_layer_frontend/src/pages/Index.tsx (1)
11-11: Consider lazy-loading GridExporter to reduce initial bundle size.Optional, but recommended if GridExporter is heavy (images/canvas/CLIP options):
Option A (Next.js):
- import GridExporter from '@/features/GridExporter'; + // Next.js dynamic import (avoids SSR and loads on demand) + const GridExporter = dynamic(() => import('@/features/GridExporter'), { ssr: false });Add this import elsewhere in the file:
import dynamic from 'next/dynamic';Option B (plain React):
- import GridExporter from '@/features/GridExporter'; + const GridExporter = React.lazy(() => import('@/features/GridExporter'));And wrap usage in Suspense (see below).
dream_layer_backend/run_grid_exporter_tests.py (1)
22-29: Optional: allow running the whole suite or forwarding argsIf you want to reuse this runner for CLIP tests too, accept extra CLI args and/or a TEST_PATH env var.
I can wire this to support TEST_PATH env and forward sys.argv to pytest if you’d like.
tests/fixtures/create_test_data.py (1)
19-20: Optional: make paths relative to this file for robustnessRunning from a different CWD will otherwise scatter outputs. Consider basing paths on file.
I can provide a small refactor using pathlib to root outputs at tests/fixtures regardless of CWD.
Also applies to: 41-43, 54-59
demo_images/create_demo_images.py (1)
78-78: Remove unnecessary f-stringNo placeholders; drop the f prefix.
- print(f"Created metadata.csv") + print("Created metadata.csv")demo_images/create_demo_comparison.py (1)
23-28: Improve exception handling specificity.The bare
exceptclause works but is flagged by static analysis. Consider catching more specific exceptions for better debugging.Apply this diff to improve exception handling:
- try: - title_font = ImageFont.truetype("arial.ttf", 24) - subtitle_font = ImageFont.truetype("arial.ttf", 16) - except: - title_font = ImageFont.load_default() - subtitle_font = ImageFont.load_default() + try: + title_font = ImageFont.truetype("arial.ttf", 24) + subtitle_font = ImageFont.truetype("arial.ttf", 16) + except (OSError, IOError): + title_font = ImageFont.load_default() + subtitle_font = ImageFont.load_default()TASK_3_AUDIT.md (2)
3-3: Minor formatting improvement for date.Consider adding a comma after the year for better style consistency.
Apply this diff:
-**Date:** August 7, 2025 +**Date:** August 7, 2025,
57-59: Add language specification to code block.The fenced code block should specify the language for better rendering.
Apply this diff:
-``` -python labeled_grid_exporter.py tests/fixtures/images tests/fixtures/test_grid.png --csv tests/fixtures/metadata.csv --labels seed sampler steps cfg preset --rows 2 --cols 2 -# Result: ✅ Grid created successfully! Images processed: 4, Grid dimensions: 2x2, Canvas size: 542x542 -``` +```bash +python labeled_grid_exporter.py tests/fixtures/images tests/fixtures/test_grid.png --csv tests/fixtures/metadata.csv --labels seed sampler steps cfg preset --rows 2 --cols 2 +# Result: ✅ Grid created successfully! Images processed: 4, Grid dimensions: 2x2, Canvas size: 542x542 +``` </blockquote></details> <details> <summary>dream_layer_backend/create_sample_grid.py (2)</summary><blockquote> `169-170`: **Use SystemExit instead of exit() in scripts** exit() is intended for interactive use. SystemExit is clearer and avoids relying on site. ```diff -if __name__ == "__main__": - exit(main()) +if __name__ == "__main__": + raise SystemExit(main())
17-22: Prefer TemporaryDirectory to manage cleanup automaticallyManual rmtree is easy to miss and can fail silently. Using tempfile.TemporaryDirectory ensures cleanup on all paths.
Example:
from tempfile import TemporaryDirectory def main(): print("🎨 Creating sample grid for PR submission...") with TemporaryDirectory() as temp_dir: images_dir = os.path.join(temp_dir, "sample_images") os.makedirs(images_dir, exist_ok=True) # create images into images_dir ... # write CSV into images_dir ... # assemble grid to output_dir ... # No manual rmtree neededAlso applies to: 163-166
dream_layer_backend_utils/DEBUG_SUMMARY.md (2)
60-69: Add a language to fenced code blockMissing language triggers markdownlint MD040. For console output, use text.
-``` +```text 🎨 Running in DEMO MODE with sample data... 📁 Demo data created in: C:\Users\Tarun\AppData\Local\Temp\grid_demo_xxx ✅ Grid created successfully! 📸 Output: C:\Users\Tarun\AppData\Local\Temp\grid_demo_xxx\demo_grid.png 📊 Grid: 3x3 🖼️ Images: 9 📏 Canvas: 808x808 🎉 Demo completed!--- `153-153`: **Style nit: “CLI interface” tautology** Use “CLI” to avoid acronym tautology. ```diff -✅ CLI interface: **WORKING** +✅ CLI: **WORKING**dream_layer_backend/PR_SUBMISSION_GUIDE.md (2)
31-47: Code block lacks language — add for linting and readabilityThe test summary block should specify a language (text).
-``` +```text ============================= 12 passed in 4.52s ============================= ✅ All tests passed! Test Summary: - ✅ Input validation (success and failure cases) - ✅ CSV metadata reading - ✅ Image collection (with and without metadata) - ✅ Grid dimension calculation - ✅ Grid assembly (basic, with metadata, auto-layout) - ✅ Custom font and margin settings - ✅ Error handling (empty input) - ✅ End-to-end workflow 🎉 The labeled grid exporter is working correctly!--- `196-199`: **Fill in author metadata** Replace placeholders with actual author and task details to finalize the guide. ```diff -**Author:** [Your Name] +**Author:** saitarunreddyeTASK_3_PR_TEMPLATE.md (1)
51-58: Add language identifier to fenced code block (markdownlint MD040).Specify a language for the “Test Results” fenced block to satisfy MD040.
-**✅ 30/30 Tests Passing** -``` +**✅ 30/30 Tests Passing** +```text Core Functionality: 12/12 tests ✅ CLIP Integration: 18/18 tests ✅ Total Coverage: 30/30 tests ✅ Execution Time: ~8 minutes (includes CLIP model loading)</blockquote></details> <details> <summary>dream_layer_frontend/src/features/GridExporter/README.md (2)</summary><blockquote> `105-110`: **Add language identifiers to fenced code blocks (markdownlint MD040).** Provide explicit languages for file tree and HTTP endpoint blocks. ```diff -``` +```text dream_layer_frontend/src/features/GridExporter/ ├── index.tsx # Main component ├── presets.ts # Grid presets └── README.md # This fileCreate Grid
-
+http
POST /api/create-labeled-grid### Get Templates -``` +```http GET /api/grid-templatesSave Template
-
+http
POST /api/save-grid-template### Load Template -``` +```http POST /api/load-grid-templatePreview Grid
-
+http
POST /api/preview-gridAlso applies to: 115-118, 152-156, 158-161, 163-166, 168-171
243-244: Tighten phrasing (“feel free” style nit).Minor wording improvement for a more concise, professional tone.
-Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests. +Contributions are welcome. Submit pull requests or open issues for bugs and feature requests.dream_layer_backend/tests/README_grid_exporter_tests.md (2)
3-3: Hyphenate compound adjective (“Open-Source”).Grammar nit for compound adjective before a noun.
-This directory contains comprehensive snapshot tests for the labeled grid exporter functionality, which is part of Task #3 of the DreamLayer Open Source Challenge. +This directory contains comprehensive snapshot tests for the labeled grid exporter functionality, which is part of Task #3 of the DreamLayer Open‑Source Challenge.
111-128: Add language identifier to fenced code block (markdownlint MD040).Specify language for the “Expected Test Results” block.
-``` +```text ============================= 12 passed in ~4-5s ============================= ✅ All tests passed! Test Summary: - ✅ Input validation (success and failure cases) - ✅ CSV metadata reading - ✅ Image collection (with and without metadata) - ✅ Grid dimension calculation - ✅ Grid assembly (basic, with metadata, auto-layout) - ✅ Custom font and margin settings - ✅ Error handling (empty input) - ✅ End-to-end workflow 🎉 The labeled grid exporter is working correctly!</blockquote></details> <details> <summary>dream_layer_frontend/src/features/GridExporter/presets.ts (2)</summary><blockquote> `1-15`: **Tighten types for exportFormat.** Constrain to known formats to catch typos at compile time. ```diff export interface GridPreset { id: string; name: string; description: string; settings: { rows?: number; cols?: number; fontSize: number; margin: number; labelColumns?: string[]; cellSize?: [number, number]; - exportFormat?: string; + exportFormat?: 'png' | 'jpg' | 'jpeg' | 'tiff' | 'webp'; backgroundColor?: [number, number, number]; }; }
234-240: Avoid order-dependent slicing in getPresetsByCategory.Slicing by fixed indices is brittle. Use explicit IDs to group, keeping future insertions safe.
-export const getPresetsByCategory = () => { - return { - basic: gridPresets.slice(0, 8), - advanced: gridPresets.slice(8, 12), - specialized: gridPresets.slice(12) - }; -}; +export const getPresetsByCategory = () => { + const basicIds = new Set([ + 'default','compact','large','presentation','comparison','gallery','wide','tall' + ]); + const advancedIds = new Set(['web-optimized','print-ready','dark-theme','minimal']); + const specializedIds = new Set(['social-media','portfolio','thumbnail','hero']); + return { + basic: gridPresets.filter(p => basicIds.has(p.id)), + advanced: gridPresets.filter(p => advancedIds.has(p.id)), + specialized: gridPresets.filter(p => specializedIds.has(p.id)), + }; +};dream_layer_backend_utils/comfyui_custom_node.py (1)
386-396: Return type and combination behavior.Currently returns only the first grid. That’s acceptable as a minimal MVP, but document or consider concatenating as a batch.
- Verify what
comfy.utils.load_imagereturns (tensor vs. other). If it returns tensors, you can stack them with torch.cat along batch dim to return multiple grids as a single IMAGE batch.Would you like me to provide a follow-up patch to concatenate all batch grids (vertically, horizontally, or as a batched IMAGE)?
dream_layer_backend/TASK3_COMPLETE_SUMMARY.md (3)
184-210: Tautology: “CLI interface” → “CLI”.Per the linter hint, simplify the wording.
-### ✅ Functionality -- [x] CLI interface works +### ✅ Functionality +- [x] CLI works
140-144: Minimum supported Python version: verify and document accurately.This file states “Python 3.7+”, while other docs show tests on Python 3.13.5. Pillow and dependencies may have dropped 3.7 support. Confirm the actual minimum (likely 3.8+ or higher) and adjust here.
30-76: Resolve markdownlint violations (MD004/MD028/MD034).The linter reports mixed unordered list styles and a blank line inside a blockquote. Either:
- Update the markdown to match project lint rules (switch to asterisks where required, remove blank line), or
- Commit a markdownlint config change to accept dashes.
If keeping lint strict, run markdownlint to auto-fix and normalize bullets in these sections.
Also applies to: 90-116, 117-137
PR_SUMMARY.md (2)
89-112: Add language to fenced code block (MD040).Specify a language to satisfy markdownlint. “text” is fine for console output.
-``` +```text ==================================================================== test session starts ==================================================================== platform win32 -- Python 3.13.5, pytest-8.4.1, pluggy-1.6.0 collected 30 items ... ============================================================== 17 passed in 95.71s ===============================================================--- `141-143`: **Batch example likely needs only batch dirs + output directory, not single input path.** This example mixes positional single-input usage with `--batch`. Clarify the expected signature (e.g., “--batch dir1 dir2 dir3 --output out_dir/” or positional output dir) and align with the actual argparse. </blockquote></details> <details> <summary>task3.md (1)</summary><blockquote> `28-33`: **Tautology: “CLI Interface” → “CLI”.** Minor wording improvement. ```diff -1. **CLI Interface**: Clear `--help` documentation +1. **CLI**: Clear `--help` documentationdream_layer_backend_utils/README_CLIP.md (3)
52-57: Clarify batch CLI usage; avoid mixing single input usage with--batch.Examples show both positional input/output and
--batchdirs simultaneously. Update to one of:
- Single run:
python labeled_grid_exporter.py input_dir output.png [options]- Batch mode:
python labeled_grid_exporter.py --batch dir1 dir2 --output out_dir [options]Align with actual argparse.
Also applies to: 146-153
110-117: CLIP is not a captioning model; rephrase to “zero-shot label selection from candidates.”To avoid overstating capabilities, adjust wording to reflect CLIP’s image-text similarity over a predefined candidate set.
-2. **Caption Candidates**: Compares against a predefined set of descriptive captions -3. **Confidence Scoring**: Selects the caption with highest confidence -5. **Label Generation**: Uses the best caption as the image label +2. **Text Candidates**: Compares against a predefined set of descriptive labels/prompts +3. **Scoring**: Selects the highest similarity match +5. **Label Selection**: Uses the best-matching candidate as the label
13-26: Ensure requirements include all needed packages for HF CLIP variants.If using Transformers CLIP models, confirm
requirements_clip.txtpins compatible versions oftorch,transformers, and optionallysafetensors. Add guidance for CUDA wheels where relevant.dream_layer_backend_utils/COMFYUI_ANALYSIS.md (3)
97-107: Add language to fenced code block (MD040).Mark the code fence with “text” for the summary block.
-``` +```text ✅ Input validation: PASSED ... ✅ Edge cases: PASSED (all grid sizes, dimensions)--- `62-67`: **Avoid asserting a fixed ComfyUI filename pattern; soften wording.** Make this illustrative (“commonly”) rather than prescriptive; ComfyUI outputs may vary. ```diff -# ComfyUI naming pattern: ComfyUI_XXXX.png +# Example ComfyUI naming: ComfyUI_XXXX.png (actual names may vary)
218-221: Tautology: “CLI interface” → “CLI”.Wording polish per linter hint.
-- ✅ CLI interface: Intuitive +- ✅ CLI: Intuitivedream_layer_backend/dream_layer_backend_utils/README.md (1)
29-29: Add optional CLIP dependencies to the requirements listSince the PR introduces CLIP integration as a key feature, the dependencies section should mention the optional requirements for CLIP functionality (PyTorch and transformers).
**Dependencies:** - Python 3.7+ - Pillow (PIL) - Standard library modules (csv, os, math, logging) + +**Optional Dependencies (for AI-powered labeling):** +- PyTorch +- transformers +- CLIP model (automatically downloaded on first use)dream_layer_backend/tests/test_clip_integration.py (2)
41-48: Remove redundant imports in test functionThe imports in this test function are redundant since they're already imported at the module level. The static analysis hint suggests using
importlib.util.find_specfor testing availability.def test_import_works(self): """Test that the module can be imported.""" try: - from dream_layer_backend_utils.labeled_grid_exporter import ( - assemble_grid_enhanced, - GridTemplate, - collect_images - ) + import importlib.util + spec = importlib.util.find_spec('dream_layer_backend_utils.labeled_grid_exporter') + assert spec is not None assert True # Import succeeded except ImportError as e: pytest.skip(f"Module import failed: {e}")
426-426: Remove unnecessary f-string prefixThe string doesn't contain any placeholders, so the f-string prefix is unnecessary.
- print(f"\nPerformance Benchmark:") + print("\nPerformance Benchmark:")dream_layer_backend/dream_layer.py (2)
646-646: Remove extraneous f-string.No placeholders present; use a plain string.
- "message": f"Batch processing completed", + "message": "Batch processing completed",
847-855: Remove unused localtemplatein preview_grid.It’s shadowed by
preview_templatebelow.- template = GridTemplate( - name="preview", - rows=rows, - cols=cols, - cell_size=cell_size, - margin=margin, - font_size=font_size - )dream_layer_backend/tests/test_labeled_grid_exporter.py (4)
16-17: Remove unused imports.
Path,List, andDictaren’t used.-from pathlib import Path -from typing import List, Dict
61-65: Avoid bare except in test image font loading.Catch
Exceptionexplicitly to satisfy linters.- try: - font = ImageFont.truetype("arial.ttf", 24) - except: - font = ImageFont.load_default() + try: + font = ImageFont.truetype("arial.ttf", 24) + except Exception: + font = ImageFont.load_default()
154-160: Prefer boolean assertions idiomatically.Use
assert not result/assert resultinstead of comparing to True/False.- result = validate_inputs("/non/existent/path", output_path) - assert result == False + result = validate_inputs("/non/existent/path", output_path) + assert not result @@ - result = validate_inputs(output_dir, output_path, "/non/existent.csv") - assert result == True # Should still be valid since CSV is optional + result = validate_inputs(output_dir, output_path, "/non/existent.csv") + assert result # CSV is optional
416-416: Remove extraneous f-string.There are no placeholders.
- print(f"\nGrid output validation:") + print("\nGrid output validation:")TASK_3_COMPREHENSIVE_REPORT.md (4)
106-114: Specify language for fenced code block.Helps markdown renderers and linters.
-``` +```text dream_layer_backend_utils/ ├── labeled_grid_exporter.py # Main enhanced script ...--- `4-4`: **Optional style: add comma after day in date.** “August 7, 2025” reads cleaner in Month Day, Year format. --- `400-400`: **Nit: “CLI interface” tautology.** Consider just “CLI”. --- `166-187`: **Test results inconsistency.** Block shows “collected 30 items” but ends with “17 passed”. Please reconcile (and ensure it matches CI). </blockquote></details> <details> <summary>dream_layer_backend_utils/labeled_grid_exporter.py (2)</summary><blockquote> `681-681`: **Consider removing file extension from fallback label** When CLIP labeling fails, the fallback uses the full filename including extension as the label. Consider using just the base name without extension for cleaner labels. ```diff -metadata = {'auto_label': filename} # Fallback to filename +# Fallback to filename without extension +from pathlib import Path +metadata = {'auto_label': Path(filename).stem}
908-916: Use contextlib.suppress for cleaner exception handlingThe nested try-except-pass block can be simplified using contextlib.suppress.
+from contextlib import suppress # ... in the function: - # Fallback: draw simple text without outline - try: - draw.text( - (x + 5, y + cell_height - 20), - label_text[:30], - font=font, - fill=(255, 255, 255), - ) - except (OSError, TypeError, AttributeError): - pass # Skip label if all drawing methods fail + # Fallback: draw simple text without outline + with suppress(OSError, TypeError, AttributeError): + draw.text( + (x + 5, y + cell_height - 20), + label_text[:30], + font=font, + fill=(255, 255, 255), + )dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py (3)
461-461: Remove file extension from fallback labelThe fallback label includes the file extension which may not be desirable for display.
-metadata = {'auto_label': fname} # Fallback to filename +# Fallback to filename without extension +from pathlib import Path +metadata = {'auto_label': Path(fname).stem}
828-828: Remove unnecessary f-string prefixThe string doesn't contain any placeholders, so the f-string prefix is unnecessary.
-print(f"✅ Grid created successfully!") +print("✅ Grid created successfully!")
1-841: Consider consolidating duplicate implementationsThis file appears to be a duplicate or alternative version of the labeled_grid_exporter.py in the parent directory. Having two similar implementations could lead to maintenance issues and confusion.
Consider:
- Keeping only one implementation and removing the duplicate
- If both are needed, extract common functionality into a shared module
- Document clearly why two versions exist if they serve different purposes
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Configuration used: CodeRabbit UI
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Plan: Pro
⛔ Files ignored due to path filters (11)
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📒 Files selected for processing (38)
PR_SUMMARY.md(1 hunks)README.md(1 hunks)TASK_3_AUDIT.md(1 hunks)TASK_3_COMPREHENSIVE_REPORT.md(1 hunks)TASK_3_PR_TEMPLATE.md(1 hunks)TASK_3_SUMMARY.md(1 hunks)demo_images/create_demo_comparison.py(1 hunks)demo_images/create_demo_images.py(1 hunks)docs/changelog.md(1 hunks)dream_layer_backend/PR_SUBMISSION_GUIDE.md(1 hunks)dream_layer_backend/TASK3_COMPLETE_SUMMARY.md(1 hunks)dream_layer_backend/create_sample_grid.py(1 hunks)dream_layer_backend/dream_layer.py(1 hunks)dream_layer_backend/dream_layer_backend_utils/README.md(1 hunks)dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py(1 hunks)dream_layer_backend/run_grid_exporter_tests.py(1 hunks)dream_layer_backend/tests/README_grid_exporter_tests.md(1 hunks)dream_layer_backend/tests/test_clip_integration.py(1 hunks)dream_layer_backend/tests/test_labeled_grid_exporter.py(1 hunks)dream_layer_backend_utils/COMFYUI_ANALYSIS.md(1 hunks)dream_layer_backend_utils/DEBUG_SUMMARY.md(1 hunks)dream_layer_backend_utils/README.md(1 hunks)dream_layer_backend_utils/README_CLIP.md(1 hunks)dream_layer_backend_utils/comfyui_custom_node.py(1 hunks)dream_layer_backend_utils/example_clip_usage.py(1 hunks)dream_layer_backend_utils/labeled_grid_exporter.py(1 hunks)dream_layer_backend_utils/requirements_clip.txt(1 hunks)dream_layer_frontend/src/components/Navigation/TabsNav.tsx(2 hunks)dream_layer_frontend/src/components/ui/progress.tsx(1 hunks)dream_layer_frontend/src/components/ui/separator.tsx(1 hunks)dream_layer_frontend/src/components/ui/switch.tsx(1 hunks)dream_layer_frontend/src/components/ui/tabs.tsx(3 hunks)dream_layer_frontend/src/features/GridExporter/README.md(1 hunks)dream_layer_frontend/src/features/GridExporter/index.tsx(1 hunks)dream_layer_frontend/src/features/GridExporter/presets.ts(1 hunks)dream_layer_frontend/src/pages/Index.tsx(2 hunks)task3.md(1 hunks)tests/fixtures/create_test_data.py(1 hunks)
🧰 Additional context used
🧠 Learnings (3)
📓 Common learnings
Learnt from: divyaprakash0426
PR: DreamLayer-AI/DreamLayer#40
File: docker/Dockerfile.backend.dev:4-6
Timestamp: 2025-07-16T18:40:41.273Z
Learning: The DreamLayer project follows an iterative approach to Docker development, where basic Docker setup is established first, and missing dependencies (like PyYAML) are addressed in subsequent iterations when related services (like ComfyUI) are added to the Docker files.
📚 Learning: 2025-07-14T22:55:51.063Z
Learnt from: rockerBOO
PR: DreamLayer-AI/DreamLayer#28
File: dream_layer_frontend/src/components/WorkflowCustomNode.tsx:88-106
Timestamp: 2025-07-14T22:55:51.063Z
Learning: In the DreamLayer frontend codebase, the team prefers to rely on TypeScript's type system for data validation rather than adding defensive programming checks, when the types are well-defined and data flow is controlled.
Applied to files:
dream_layer_frontend/src/components/ui/switch.tsxdream_layer_frontend/src/components/ui/progress.tsxdream_layer_frontend/src/components/ui/separator.tsxdream_layer_frontend/src/components/ui/tabs.tsx
📚 Learning: 2025-07-16T18:40:41.273Z
Learnt from: divyaprakash0426
PR: DreamLayer-AI/DreamLayer#40
File: docker/Dockerfile.backend.dev:4-6
Timestamp: 2025-07-16T18:40:41.273Z
Learning: The DreamLayer project follows an iterative approach to Docker development, where basic Docker setup is established first, and missing dependencies (like PyYAML) are addressed in subsequent iterations when related services (like ComfyUI) are added to the Docker files.
Applied to files:
dream_layer_backend_utils/README.md
🧬 Code Graph Analysis (3)
dream_layer_backend/tests/test_labeled_grid_exporter.py (1)
dream_layer_backend_utils/labeled_grid_exporter.py (5)
validate_inputs(492-540)read_metadata(557-582)collect_images(615-715)assemble_grid(942-972)determine_grid(585-612)
dream_layer_backend/tests/test_clip_integration.py (2)
dream_layer_backend_utils/labeled_grid_exporter.py (7)
CLIPLabeler(70-329)assemble_grid_enhanced(765-939)GridTemplate(392-432)collect_images(615-715)generate_label(211-309)batch_generate_labels(311-329)main(1001-1245)dream_layer_backend/tests/test_labeled_grid_exporter.py (3)
test_data_dir(36-40)test_images_dir(43-78)output_dir(130-134)
dream_layer_backend_utils/labeled_grid_exporter.py (1)
dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py (16)
CLIPLabeler(26-190)ImagePreprocessor(192-243)GridTemplate(245-278)BatchProcessor(280-329)assemble_grid_enhanced(524-665)validate_inputs(331-354)_load_font(356-383)read_metadata(385-410)determine_grid(412-435)collect_images(437-476)preprocess_images(478-522)assemble_grid(667-690)save_template(692-695)load_template(697-701)create_animated_grid(703-708)main(710-838)
🪛 LanguageTool
dream_layer_backend/PR_SUBMISSION_GUIDE.md
[style] ~172-~172: This phrase is redundant (‘I’ stands for ‘interface’). Use simply “CLI”.
Context: ...instructions ### ✅ Functionality - [x] CLI interface works - [x] Programmatic API works - [x...
(ACRONYM_TAUTOLOGY)
[uncategorized] ~198-~198: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...id Exporter Challenge: DreamLayer Open Source Challenge For questions or issues: 1...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
TASK_3_AUDIT.md
[style] ~3-~3: Some style guides suggest that commas should set off the year in a month-day-year date.
Context: ...on Readiness Audit Date: August 7, 2025 Project: DreamLayer - Labeled Gri...
(MISSING_COMMA_AFTER_YEAR)
dream_layer_backend_utils/DEBUG_SUMMARY.md
[style] ~153-~153: This phrase is redundant (‘I’ stands for ‘interface’). Use simply “CLI”.
Context: ... ComfyUI compatibility: WORKING - ✅ CLI interface: WORKING - ✅ Error handling: **WORK...
(ACRONYM_TAUTOLOGY)
task3.md
[style] ~29-~29: This phrase is redundant (‘I’ stands for ‘Interface’). Use simply “CLIInterface”.
Context: ... content ### Developer Experience 1. CLI Interface: Clear --help documentation 2. **Do...
(ACRONYM_TAUTOLOGY)
dream_layer_frontend/src/features/GridExporter/README.md
[style] ~243-~243: Consider using a less common alternative to make your writing sound more unique and professional.
Context: ...ontributing Contributions are welcome! Please feel free to submit pull requests or open issues for...
(FEEL_FREE_TO_STYLE_ME)
dream_layer_backend/TASK3_COMPLETE_SUMMARY.md
[style] ~204-~204: This phrase is redundant (‘I’ stands for ‘interface’). Use simply “CLI”.
Context: ...instructions ### ✅ Functionality - [x] CLI interface works - [x] Programmatic API works - [x...
(ACRONYM_TAUTOLOGY)
[uncategorized] ~239-~239: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...** ✨ --- Created for the DreamLayer Open Source Challenge 🎨
(EN_COMPOUND_ADJECTIVE_INTERNAL)
dream_layer_backend_utils/COMFYUI_ANALYSIS.md
[uncategorized] ~29-~29: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...l: Model checkpoint name - prompt`: Full text prompt - Extensible: Easy to add ne...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
[style] ~218-~218: This phrase is redundant (‘I’ stands for ‘interface’). Use simply “CLI”.
Context: ...e) ### Usability Score: 100% ✅ - ✅ CLI interface: Intuitive - ✅ Error handling: Robust -...
(ACRONYM_TAUTOLOGY)
dream_layer_backend/dream_layer_backend_utils/README.md
[uncategorized] ~3-~3: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...ed artwork, designed for the DreamLayer Open Source Challenge. ## 🎯 Overview The Labeled...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
[style] ~127-~127: This phrase is redundant (‘G’ stands for ‘graphic’). Use simply “PNGs”.
Context: ... The grid exporter creates high-quality PNG images with: - High Resolution: Maintains ...
(ACRONYM_TAUTOLOGY)
[uncategorized] ~257-~257: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ... This project is part of the DreamLayer Open Source Challenge and follows the same licensin...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
[uncategorized] ~261-~261: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...dgments - DreamLayer Team: For the open source challenge opportunity - **Pillow (PIL)*...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
[uncategorized] ~267-~267: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...Created for Task #3 of the DreamLayer Open Source Challenge 🎨✨
(EN_COMPOUND_ADJECTIVE_INTERNAL)
TASK_3_COMPREHENSIVE_REPORT.md
[style] ~4-~4: Some style guides suggest that commas should set off the year in a month-day-year date.
Context: ...ive Project Report Date: August 7, 2025 Project: DreamLayer - Labeled Gri...
(MISSING_COMMA_AFTER_YEAR)
[style] ~400-~400: This phrase is redundant (‘I’ stands for ‘interface’). Use simply “CLI”.
Context: ...memory usage - Usability: Intuitive CLI interface with helpful examples - Reliability...
(ACRONYM_TAUTOLOGY)
dream_layer_backend/tests/README_grid_exporter_tests.md
[uncategorized] ~3-~3: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...ch is part of Task #3 of the DreamLayer Open Source Challenge. ## Overview The test suite...
(EN_COMPOUND_ADJECTIVE_INTERNAL)
🪛 markdownlint-cli2 (0.17.2)
dream_layer_backend/PR_SUBMISSION_GUIDE.md
31-31: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
TASK_3_AUDIT.md
59-59: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
dream_layer_backend_utils/DEBUG_SUMMARY.md
60-60: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
dream_layer_frontend/src/features/GridExporter/README.md
105-105: Fenced code blocks should have a language specified
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115-115: Fenced code blocks should have a language specified
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163-163: Fenced code blocks should have a language specified
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168-168: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
dream_layer_backend/TASK3_COMPLETE_SUMMARY.md
37-37: Blank line inside blockquote
(MD028, no-blanks-blockquote)
53-53: Unordered list style
Expected: asterisk; Actual: dash
(MD004, ul-style)
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105-105: Bare URL used
(MD034, no-bare-urls)
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(MD034, no-bare-urls)
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dream_layer_backend_utils/COMFYUI_ANALYSIS.md
97-97: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
TASK_3_PR_TEMPLATE.md
111-111: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
PR_SUMMARY.md
89-89: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
TASK_3_COMPREHENSIVE_REPORT.md
111-111: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
dream_layer_backend/tests/README_grid_exporter_tests.md
111-111: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🪛 Ruff (0.12.2)
tests/fixtures/create_test_data.py
35-35: Do not use bare except
(E722)
demo_images/create_demo_comparison.py
26-26: Do not use bare except
(E722)
demo_images/create_demo_images.py
47-47: Do not use bare except
(E722)
78-78: f-string without any placeholders
Remove extraneous f prefix
(F541)
dream_layer_backend/create_sample_grid.py
38-38: Do not use bare except
(E722)
dream_layer_backend/dream_layer.py
575-575: dream_layer_backend_utils.labeled_grid_exporter.collect_images imported but unused
Remove unused import
(F401)
575-575: dream_layer_backend_utils.labeled_grid_exporter.read_metadata imported but unused
Remove unused import
(F401)
576-576: dream_layer_backend_utils.labeled_grid_exporter.ImagePreprocessor imported but unused
Remove unused import
(F401)
578-578: tempfile imported but unused
Remove unused import: tempfile
(F401)
579-579: json imported but unused
Remove unused import: json
(F401)
646-646: f-string without any placeholders
Remove extraneous f prefix
(F541)
674-674: Do not use bare except
(E722)
824-824: io.BytesIO imported but unused
Remove unused import: io.BytesIO
(F401)
847-847: Local variable template is assigned to but never used
Remove assignment to unused variable template
(F841)
884-884: Undefined name assemble_grid_enhanced
(F821)
dream_layer_backend/tests/test_labeled_grid_exporter.py
16-16: pathlib.Path imported but unused
Remove unused import: pathlib.Path
(F401)
17-17: typing.List imported but unused
Remove unused import
(F401)
17-17: typing.Dict imported but unused
Remove unused import
(F401)
63-63: Do not use bare except
(E722)
156-156: Avoid equality comparisons to False; use not result: for false checks
Replace with not result
(E712)
160-160: Avoid equality comparisons to True; use result: for truth checks
Replace with result
(E712)
416-416: f-string without any placeholders
Remove extraneous f prefix
(F541)
dream_layer_backend/tests/test_clip_integration.py
15-15: pathlib.Path imported but unused
Remove unused import: pathlib.Path
(F401)
16-16: typing.List imported but unused
Remove unused import
(F401)
16-16: typing.Dict imported but unused
Remove unused import
(F401)
18-18: unittest.mock.MagicMock imported but unused
Remove unused import: unittest.mock.MagicMock
(F401)
24-24: Redefinition of unused os from line 12
Remove definition: os
(F811)
42-42: dream_layer_backend_utils.labeled_grid_exporter.assemble_grid_enhanced imported but unused; consider using importlib.util.find_spec to test for availability
(F401)
43-43: dream_layer_backend_utils.labeled_grid_exporter.GridTemplate imported but unused; consider using importlib.util.find_spec to test for availability
(F401)
44-44: dream_layer_backend_utils.labeled_grid_exporter.collect_images imported but unused; consider using importlib.util.find_spec to test for availability
(F401)
94-94: Do not use bare except
(E722)
426-426: f-string without any placeholders
Remove extraneous f prefix
(F541)
dream_layer_backend_utils/labeled_grid_exporter.py
908-916: Use contextlib.suppress(OSError, TypeError, AttributeError) instead of try-except-pass
(SIM105)
dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py
12-12: typing.Optional imported but unused
Remove unused import: typing.Optional
(F401)
14-14: tempfile imported but unused
Remove unused import: tempfile
(F401)
15-15: shutil imported but unused
Remove unused import: shutil
(F401)
17-17: numpy imported but unused
Remove unused import: numpy
(F401)
828-828: f-string without any placeholders
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(F541)
🔇 Additional comments (21)
dream_layer_frontend/src/components/ui/progress.tsx (1)
1-2: Adding "use client" is appropriate here.Radix progress relies on client-side behavior; this aligns with our other UI primitives.
dream_layer_frontend/src/components/ui/switch.tsx (1)
1-2: LGTM: client directive is correct for an interactive Radix switch.dream_layer_frontend/src/components/ui/separator.tsx (1)
1-2: Consistent with our UI approach.Marking as client keeps parity across shared primitives.
dream_layer_frontend/src/components/ui/tabs.tsx (3)
1-1: "use client" is appropriate for Radix Tabs.
17-17: Border removal may reduce visual separation; verify in both light/dark themes.Without
border border-border, selected/unselected states rely solely on bg/text. Please quickly QA contrast and hit target affordances.
32-32: Padding change (py-1 → py-1.5): check vertical alignment within h-10 list.Ensure no clipping or unexpected height shifts, especially with custom fonts.
dream_layer_frontend/src/pages/Index.tsx (1)
46-47: No Suspense wrapper required forGridExporter
- Verified that
TabsNavincludes the"grid-exporter"option andIndex.tsxcorrectly renders it.- Confirmed that
GridExporteris statically imported (it has a default export insrc/features/GridExporter/index.tsx) and is not loaded viaReact.lazy.Since
GridExporterisn’t code-split withReact.lazy, wrapping it in a<Suspense>boundary isn’t needed.dream_layer_frontend/src/components/Navigation/TabsNav.tsx (1)
7-8: Grid Exporter Tab: Icon and Route Verified
Both theGrid3X3icon and the"grid-exporter"route are correctly wired up:• lucide-react v0.462.0 ships the
Grid3x3icon you’re importing.
•TabsNav.tsximports and usesGrid3X3alongside the new tab entry.
•src/pages/Index.tsxhas acase "grid-exporter": return <GridExporter />;and importsGridExporterfrom@/features/GridExporter.All set—no further changes needed.
README.md (1)
206-272: Excellent documentation addition for the Labeled Grid Exporter!The new documentation section is comprehensive and well-structured, providing:
- Clear introduction to the AI-powered CLIP features
- Practical usage examples covering different scenarios
- Complete CLI argument reference
- Sample CSV format for metadata
- Good visual integration with the demo image
The documentation effectively communicates both the existing functionality and the new AI capabilities while maintaining backward compatibility messaging.
docs/changelog.md (1)
12-23: Well-structured changelog entry for Task 3!The changelog addition properly documents the CLIP integration with:
- Clear categorization of new features
- Comprehensive coverage of functionality
- Good use of emojis for visual organization
- Accurate reflection of the PR scope
The entry follows established changelog conventions and provides good visibility into the new AI-powered capabilities.
demo_images/create_demo_comparison.py (1)
8-79: LGTM - Well-implemented demo comparison script!The script effectively creates professional before/after comparison images with:
- Proper image positioning and layout
- Good color choices for visual distinction
- Multiple output sizes for different use cases
- Sensible fallback for font loading
The implementation serves its demo purpose well and will help showcase the CLIP integration effectively.
dream_layer_backend_utils/README.md (1)
1-77: Excellent comprehensive documentation for the labeled grid exporter!This README provides outstanding coverage of the utility with:
- Clear purpose and quick start sections
- Practical usage examples covering different scenarios
- Complete feature list including CLIP integration
- Well-organized CLI options reference
- Proper installation and requirements information
The documentation structure is logical and user-friendly, making it easy for both new users and experienced developers to understand and use the tool effectively.
TASK_3_AUDIT.md (1)
1-79: Outstanding comprehensive audit documentation!This audit report demonstrates exceptional thoroughness with:
- Systematic verification of all functional requirements
- Comprehensive testing validation (30/30 tests passing)
- Clear evidence for each check performed
- Professional tabular format for easy review
- Detailed command outputs proving functionality
The audit provides strong confidence in the PR's production readiness and follows excellent documentation practices.
dream_layer_backend/create_sample_grid.py (1)
13-15: Import Path Verified
- Found
dream_layer_backend_utils/labeled_grid_exporter.pyat the top level with all four functions (validate_inputs,read_metadata,collect_images,assemble_grid).- No
__init__.pyis present, but Python 3.3+ treats that folder as a namespace package (PEP 420), sofrom dream_layer_backend_utils.labeled_grid_exporter import …will resolve when run from the repo root (e.g. viapython -m dream_layer_backend.create_sample_grid).No changes required.
TASK_3_SUMMARY.md (1)
1-74: Clear, concise summary — LGTMCaptures the CLIP integration, priority logic, optional deps, and CLI flags succinctly.
dream_layer_backend_utils/example_clip_usage.py (1)
14-17: Avoid hard-coded “path/to/your/images” placeholders in runnable codeIf this script is intended to be executed, parameterize these paths or use the parsed CLI arg; otherwise mark the file clearly as a non-executable example.
Update the examples to accept input_dir/output_path as parameters, or add a header comment: “This module provides illustrative snippets and is not intended to be run as-is.”
Also applies to: 40-47, 51-57, 66-74
dream_layer_backend/PR_SUBMISSION_GUIDE.md (1)
5-8: Numbers and scope appear outdated vs. PR objectivesGuide mentions “6 files” and “12 tests”, but PR summary claims 30 tests (18 CLIP). Please align counts, paths, and artifacts to avoid reviewer confusion.
- Update “Files Added” and test counts.
- Include CLIP-related tests and docs mentioned in this PR.
Also applies to: 28-45
dream_layer_backend_utils/comfyui_custom_node.py (1)
33-34: Imports correctly resolve to local moduleThe
GridTemplateclass (around line 392) andassemble_grid_enhancedfunction (around line 765) are defined indream_layer_backend_utils/labeled_grid_exporter.py. Sincecomfyui_custom_node.pylives in the same directory and usesfrom labeled_grid_exporter import …, the symbols resolve as intended. No changes needed.dream_layer_backend/TASK3_COMPLETE_SUMMARY.md (1)
1-239: Align this summary with current PR scope (CLIP, batch, templates, 30/30 tests).This document appears to predate the CLIP/batch/template additions and still reports 12 tests. Please update it to reflect:
- CLIP opt-in flow (
--use-clip,--clip-model), label priority (CSV → CLIP → filename).- Batch processing and template system.
- Current test counts (30/30) and Python/runtime details used in the latest runs.
Likely an incorrect or invalid review comment.
PR_SUMMARY.md (2)
89-112: Test counts are inconsistent; reconcile “collected 30 items…17 passed” vs “30/30 verified locally”.Please update the numbers so they’re consistent and accurate in both the test log snippet and the reviewer notes.
Also applies to: 172-187
Likely an incorrect or invalid review comment.
129-143: No conflicting flag names found – only--labelsis used
All CLI examples and the code (labeled_grid_exporter.pyarguments) consistently use--labels. There is no--label-columnsflag defined or referenced, so no updates are needed.Likely an incorrect or invalid review comment.
| try: | ||
| font = ImageFont.truetype("arial.ttf", 48) | ||
| except: | ||
| font = ImageFont.load_default() | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Avoid bare except for font loading
Limit to OSError to prevent swallowing unrelated errors.
- try:
- font = ImageFont.truetype("arial.ttf", 48)
- except:
- font = ImageFont.load_default()
+ try:
+ font = ImageFont.truetype("arial.ttf", 48)
+ except OSError:
+ font = ImageFont.load_default()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| try: | |
| font = ImageFont.truetype("arial.ttf", 48) | |
| except: | |
| font = ImageFont.load_default() | |
| try: | |
| font = ImageFont.truetype("arial.ttf", 48) | |
| except OSError: | |
| font = ImageFont.load_default() |
🧰 Tools
🪛 Ruff (0.12.2)
47-47: Do not use bare except
(E722)
🤖 Prompt for AI Agents
In demo_images/create_demo_images.py around lines 45 to 49, the except clause
for loading the font is a bare except which can catch unrelated errors. Change
the except clause to catch only OSError to specifically handle font loading
failures without suppressing other exceptions.
| from labeled_grid_exporter import GridTemplate, assemble_grid_enhanced | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Harden import path for labeled_grid_exporter.
Make the import robust across ComfyUI/custom_nodes vs. package layouts.
-# Import our labeled grid exporter
-from labeled_grid_exporter import GridTemplate, assemble_grid_enhanced
+# Import our labeled grid exporter with path fallbacks
+try:
+ # When this file sits alongside labeled_grid_exporter.py
+ from labeled_grid_exporter import GridTemplate, assemble_grid_enhanced
+except ImportError:
+ try:
+ # When installed as a package/module
+ from dream_layer_backend_utils.labeled_grid_exporter import (
+ GridTemplate,
+ assemble_grid_enhanced,
+ )
+ except ImportError as e:
+ raise ImportError(
+ "Unable to import labeled_grid_exporter. Ensure either "
+ "`labeled_grid_exporter.py` is in the same directory as this node "
+ "or the `dream_layer_backend_utils` package is on PYTHONPATH."
+ ) from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| from labeled_grid_exporter import GridTemplate, assemble_grid_enhanced | |
| # Import our labeled grid exporter with path fallbacks | |
| try: | |
| # When this file sits alongside labeled_grid_exporter.py | |
| from labeled_grid_exporter import GridTemplate, assemble_grid_enhanced | |
| except ImportError: | |
| try: | |
| # When installed as a package/module | |
| from dream_layer_backend_utils.labeled_grid_exporter import ( | |
| GridTemplate, | |
| assemble_grid_enhanced, | |
| ) | |
| except ImportError as e: | |
| raise ImportError( | |
| "Unable to import labeled_grid_exporter. Ensure either " | |
| "`labeled_grid_exporter.py` is in the same directory as this node " | |
| "or the `dream_layer_backend_utils` package is on PYTHONPATH." | |
| ) from e |
🤖 Prompt for AI Agents
In dream_layer_backend_utils/comfyui_custom_node.py around lines 33 to 34, the
import statement for labeled_grid_exporter is not robust across different
project layouts. Modify the import to handle both ComfyUI/custom_nodes and
package layouts by using a try-except block or conditional import logic that
attempts the import from one path and falls back to the alternative path if the
first fails.
| # Parse background color | ||
| try: | ||
| bg_color = tuple(map(int, background_color.split(","))) | ||
| except (ValueError, AttributeError): | ||
| bg_color = (255, 255, 255) | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Validate background_color parsing (length and range).
Ensure exactly 3 components in [0..255], fall back on invalid input.
- try:
- bg_color = tuple(map(int, background_color.split(",")))
- except (ValueError, AttributeError):
- bg_color = (255, 255, 255)
+ try:
+ parts = [int(p) for p in background_color.replace(" ", "").split(",")]
+ if len(parts) != 3 or any(p < 0 or p > 255 for p in parts):
+ raise ValueError("Invalid RGB triplet")
+ bg_color = tuple(parts) # type: ignore[assignment]
+ except Exception:
+ bg_color = (255, 255, 255)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| # Parse background color | |
| try: | |
| bg_color = tuple(map(int, background_color.split(","))) | |
| except (ValueError, AttributeError): | |
| bg_color = (255, 255, 255) | |
| # Parse background color | |
| try: | |
| parts = [int(p) for p in background_color.replace(" ", "").split(",")] | |
| if len(parts) != 3 or any(p < 0 or p > 255 for p in parts): | |
| raise ValueError("Invalid RGB triplet") | |
| bg_color = tuple(parts) # type: ignore[assignment] | |
| except Exception: | |
| bg_color = (255, 255, 255) |
🤖 Prompt for AI Agents
In dream_layer_backend_utils/comfyui_custom_node.py around lines 86 to 91, the
background_color parsing currently converts the input string to a tuple of
integers but does not validate the number of components or their range. Update
the code to check that the split results in exactly three components and that
each integer is within the 0 to 255 range. If these conditions are not met, fall
back to the default color (255, 255, 255).
| image_files = [] | ||
| for i, image in enumerate(images): | ||
| # Convert tensor to PIL image | ||
| pil_image = comfy.utils.tensor_to_pil(image)[0] | ||
|
|
||
| # Save image | ||
| filename = f"ComfyUI_{i:04d}.png" | ||
| filepath = os.path.join(temp_dir, filename) | ||
| pil_image.save(filepath) | ||
| image_files.append(filename) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Convert the entire IMAGE batch to PIL once; avoid iterating raw tensors.
This is more robust with ComfyUI’s IMAGE type (B×H×W×C tensor).
- # Save images to temporary directory
- image_files = []
- for i, image in enumerate(images):
- # Convert tensor to PIL image
- pil_image = comfy.utils.tensor_to_pil(image)[0]
-
- # Save image
- filename = f"ComfyUI_{i:04d}.png"
- filepath = os.path.join(temp_dir, filename)
- pil_image.save(filepath)
- image_files.append(filename)
+ # Save images to temporary directory
+ image_files: List[str] = []
+ pil_images = comfy.utils.tensor_to_pil(images)
+ for i, pil_image in enumerate(pil_images):
+ filename = f"ComfyUI_{i:04d}.png"
+ filepath = os.path.join(temp_dir, filename)
+ pil_image.save(filepath)
+ image_files.append(filename)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| image_files = [] | |
| for i, image in enumerate(images): | |
| # Convert tensor to PIL image | |
| pil_image = comfy.utils.tensor_to_pil(image)[0] | |
| # Save image | |
| filename = f"ComfyUI_{i:04d}.png" | |
| filepath = os.path.join(temp_dir, filename) | |
| pil_image.save(filepath) | |
| image_files.append(filename) | |
| # Save images to temporary directory | |
| image_files: List[str] = [] | |
| pil_images = comfy.utils.tensor_to_pil(images) | |
| for i, pil_image in enumerate(pil_images): | |
| filename = f"ComfyUI_{i:04d}.png" | |
| filepath = os.path.join(temp_dir, filename) | |
| pil_image.save(filepath) | |
| image_files.append(filename) |
🤖 Prompt for AI Agents
In dream_layer_backend_utils/comfyui_custom_node.py around lines 98 to 107,
instead of converting each tensor image individually in a loop, convert the
entire batch of images to PIL format at once using comfy.utils.tensor_to_pil on
the whole images tensor. Then iterate over the resulting PIL images to save
them. This avoids processing raw tensors one by one and is more compatible with
ComfyUI's IMAGE type.
| @classmethod | ||
| def INPUT_TYPES(cls): | ||
| return { | ||
| "required": { | ||
| "image_batches": ("IMAGE",), # Multiple batches of images | ||
| "batch_names": ("STRING", {"default": "batch1,batch2,batch3"}), | ||
| "grid_rows": ("INT", {"default": 3, "min": 1, "max": 10}), | ||
| "grid_cols": ("INT", {"default": 3, "min": 1, "max": 10}), | ||
| "cell_width": ("INT", {"default": 512, "min": 64, "max": 2048}), | ||
| "cell_height": ("INT", {"default": 704, "min": 64, "max": 2048}), | ||
| "margin": ("INT", {"default": 10, "min": 0, "max": 100}), | ||
| "font_size": ("INT", {"default": 16, "min": 8, "max": 48}), | ||
| "export_format": (["png", "jpg", "jpeg"], {"default": "png"}), | ||
| }, | ||
| "optional": { | ||
| "batch_metadata": ("STRING", {"default": "", "multiline": True}), | ||
| "label_columns": ("STRING", {"default": "seed,sampler,steps,cfg"}), | ||
| }, | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Batch node input shape and feature parity.
Expose background_color and CLIP options for parity with the single-image node.
def INPUT_TYPES(cls):
return {
"required": {
- "image_batches": ("IMAGE",), # Multiple batches of images
+ "image_batches": ("IMAGE",), # Batched images; will be split per batch_names
"batch_names": ("STRING", {"default": "batch1,batch2,batch3"}),
"grid_rows": ("INT", {"default": 3, "min": 1, "max": 10}),
"grid_cols": ("INT", {"default": 3, "min": 1, "max": 10}),
"cell_width": ("INT", {"default": 512, "min": 64, "max": 2048}),
"cell_height": ("INT", {"default": 704, "min": 64, "max": 2048}),
"margin": ("INT", {"default": 10, "min": 0, "max": 100}),
"font_size": ("INT", {"default": 16, "min": 8, "max": 48}),
"export_format": (["png", "jpg", "jpeg"], {"default": "png"}),
+ "background_color": ("STRING", {"default": "255,255,255"}),
},
"optional": {
"batch_metadata": ("STRING", {"default": "", "multiline": True}),
"label_columns": ("STRING", {"default": "seed,sampler,steps,cfg"}),
+ "use_clip_labeling": ("BOOLEAN", {"default": False}),
+ "clip_model": ("STRING", {"default": "openai/clip-vit-base-patch32"}),
},
}📝 Committable suggestion
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| @classmethod | |
| def INPUT_TYPES(cls): | |
| return { | |
| "required": { | |
| "image_batches": ("IMAGE",), # Multiple batches of images | |
| "batch_names": ("STRING", {"default": "batch1,batch2,batch3"}), | |
| "grid_rows": ("INT", {"default": 3, "min": 1, "max": 10}), | |
| "grid_cols": ("INT", {"default": 3, "min": 1, "max": 10}), | |
| "cell_width": ("INT", {"default": 512, "min": 64, "max": 2048}), | |
| "cell_height": ("INT", {"default": 704, "min": 64, "max": 2048}), | |
| "margin": ("INT", {"default": 10, "min": 0, "max": 100}), | |
| "font_size": ("INT", {"default": 16, "min": 8, "max": 48}), | |
| "export_format": (["png", "jpg", "jpeg"], {"default": "png"}), | |
| }, | |
| "optional": { | |
| "batch_metadata": ("STRING", {"default": "", "multiline": True}), | |
| "label_columns": ("STRING", {"default": "seed,sampler,steps,cfg"}), | |
| }, | |
| } | |
| @classmethod | |
| def INPUT_TYPES(cls): | |
| return { | |
| "required": { | |
| "image_batches": ("IMAGE",), # Batched images; will be split per batch_names | |
| "batch_names": ("STRING", {"default": "batch1,batch2,batch3"}), | |
| "grid_rows": ("INT", {"default": 3, "min": 1, "max": 10}), | |
| "grid_cols": ("INT", {"default": 3, "min": 1, "max": 10}), | |
| "cell_width": ("INT", {"default": 512, "min": 64, "max": 2048}), | |
| "cell_height": ("INT", {"default": 704, "min": 64, "max": 2048}), | |
| "margin": ("INT", {"default": 10, "min": 0, "max": 100}), | |
| "font_size": ("INT", {"default": 16, "min": 8, "max": 48}), | |
| "export_format": (["png", "jpg", "jpeg"], {"default": "png"}), | |
| "background_color": ("STRING", {"default": "255,255,255"}), | |
| }, | |
| "optional": { | |
| "batch_metadata": ("STRING", {"default": "", "multiline": True}), | |
| "label_columns": ("STRING", {"default": "seed,sampler,steps,cfg"}), | |
| "use_clip_labeling": ("BOOLEAN", {"default": False}), | |
| "clip_model": ("STRING", {"default": "openai/clip-vit-base-patch32"}), | |
| }, | |
| } |
🤖 Prompt for AI Agents
In dream_layer_backend_utils/comfyui_custom_node.py around lines 210 to 228, the
INPUT_TYPES method lacks the background_color and CLIP options that are present
in the single-image node. To fix this, add background_color and CLIP parameters
to the "required" or "optional" input dictionaries with appropriate types and
default values, ensuring feature parity between batch and single-image nodes.
| link.href = `file://${lastResult.output_path}`; | ||
| link.download = lastResult.output_path.split('/').pop() || 'grid.png'; | ||
| document.body.appendChild(link); | ||
| link.click(); | ||
| document.body.removeChild(link); | ||
| } |
There was a problem hiding this comment.
Security issue: Using file:// protocol for downloads
Using file:// protocol with local paths can be a security issue and won't work in most browsers due to CORS restrictions. The download should be handled through the API.
const handleDownloadResult = () => {
if (lastResult?.output_path) {
- const link = document.createElement('a');
- link.href = `file://${lastResult.output_path}`;
- link.download = lastResult.output_path.split('/').pop() || 'grid.png';
- document.body.appendChild(link);
- link.click();
- document.body.removeChild(link);
+ // Request the file through the API
+ window.open(`/api/download-grid?path=${encodeURIComponent(lastResult.output_path)}`, '_blank');
}
};📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| link.href = `file://${lastResult.output_path}`; | |
| link.download = lastResult.output_path.split('/').pop() || 'grid.png'; | |
| document.body.appendChild(link); | |
| link.click(); | |
| document.body.removeChild(link); | |
| } | |
| const handleDownloadResult = () => { | |
| if (lastResult?.output_path) { | |
| // Request the file through the API | |
| window.open( | |
| `/api/download-grid?path=${encodeURIComponent(lastResult.output_path)}`, | |
| '_blank' | |
| ); | |
| } | |
| }; |
🤖 Prompt for AI Agents
In dream_layer_frontend/src/features/GridExporter/index.tsx around lines 269 to
274, avoid using the file:// protocol for setting the download link href as it
causes security issues and browser restrictions. Instead, modify the code to
fetch the file data from the API, create a Blob URL from the response, and set
that Blob URL as the href for the download link to enable safe and compatible
downloading.
| const resetForm = () => { | ||
| setInputDir(''); | ||
| setOutputPath(''); | ||
| setCsvPath(''); | ||
| setLabelColumns([]); | ||
| setRows(3); | ||
| setCols(3); | ||
| setFontSize(16); | ||
| setMargin(10); | ||
| setExportFormat('png'); | ||
| setBackgroundColor([255, 255, 255]); | ||
| setCellSize([256, 256]); | ||
| setBatchDirs([]); | ||
| setEnablePreprocessing(false); | ||
| setSelectedPreset('default'); | ||
| setLastResult(null); | ||
| setPreviewResult(null); | ||
| setProgress(0); | ||
| setProgressMessage(''); | ||
| }; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Reset CLIP state in resetForm function
The reset function should also reset the CLIP-related state variables when they are added.
const resetForm = () => {
setInputDir('');
setOutputPath('');
setCsvPath('');
setLabelColumns([]);
setRows(3);
setCols(3);
setFontSize(16);
setMargin(10);
setExportFormat('png');
setBackgroundColor([255, 255, 255]);
setCellSize([256, 256]);
setBatchDirs([]);
setEnablePreprocessing(false);
setSelectedPreset('default');
setLastResult(null);
setPreviewResult(null);
setProgress(0);
setProgressMessage('');
+ setUseClip(false);
+ setClipModel('openai/clip-vit-base-patch32');
};📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const resetForm = () => { | |
| setInputDir(''); | |
| setOutputPath(''); | |
| setCsvPath(''); | |
| setLabelColumns([]); | |
| setRows(3); | |
| setCols(3); | |
| setFontSize(16); | |
| setMargin(10); | |
| setExportFormat('png'); | |
| setBackgroundColor([255, 255, 255]); | |
| setCellSize([256, 256]); | |
| setBatchDirs([]); | |
| setEnablePreprocessing(false); | |
| setSelectedPreset('default'); | |
| setLastResult(null); | |
| setPreviewResult(null); | |
| setProgress(0); | |
| setProgressMessage(''); | |
| }; | |
| const resetForm = () => { | |
| setInputDir(''); | |
| setOutputPath(''); | |
| setCsvPath(''); | |
| setLabelColumns([]); | |
| setRows(3); | |
| setCols(3); | |
| setFontSize(16); | |
| setMargin(10); | |
| setExportFormat('png'); | |
| setBackgroundColor([255, 255, 255]); | |
| setCellSize([256, 256]); | |
| setBatchDirs([]); | |
| setEnablePreprocessing(false); | |
| setSelectedPreset('default'); | |
| setLastResult(null); | |
| setPreviewResult(null); | |
| setProgress(0); | |
| setProgressMessage(''); | |
| setUseClip(false); | |
| setClipModel('openai/clip-vit-base-patch32'); | |
| }; |
🤖 Prompt for AI Agents
In dream_layer_frontend/src/features/GridExporter/index.tsx around lines 277 to
296, the resetForm function currently resets many state variables but does not
reset any CLIP-related state variables. When CLIP-related state variables are
added, update the resetForm function to include calls that reset these CLIP
states to their initial values, ensuring the entire form state is properly
cleared.
| <TabsContent value="basic" className="space-y-6"> | ||
| {/* Drag & Drop Area */} | ||
| <Card> | ||
| <CardHeader> | ||
| <CardTitle className="flex items-center gap-2"> | ||
| <Upload className="h-5 w-5" /> | ||
| Drag & Drop Images | ||
| </CardTitle> | ||
| <CardDescription> | ||
| Drop image files here or click to select | ||
| </CardDescription> | ||
| </CardHeader> | ||
| <CardContent> | ||
| <div | ||
| className={`border-2 border-dashed rounded-lg p-8 text-center transition-colors ${ | ||
| isDragOver | ||
| ? 'border-primary bg-primary/5' | ||
| : 'border-muted-foreground/25 hover:border-primary/50' | ||
| }`} | ||
| onDragOver={handleDragOver} | ||
| onDragLeave={handleDragLeave} | ||
| onDrop={handleDrop} | ||
| onClick={() => fileInputRef.current?.click()} | ||
| > | ||
| <Upload className="h-12 w-12 mx-auto mb-4 text-muted-foreground" /> | ||
| <p className="text-lg font-medium mb-2"> | ||
| {isDragOver ? 'Drop files here' : 'Drag & drop images here'} | ||
| </p> | ||
| <p className="text-sm text-muted-foreground mb-4"> | ||
| or click to browse files | ||
| </p> | ||
| <input | ||
| ref={fileInputRef} | ||
| type="file" | ||
| multiple | ||
| accept="image/*" | ||
| onChange={handleFileSelect} | ||
| className="hidden" | ||
| /> | ||
| {droppedFiles.length > 0 && ( | ||
| <div className="mt-4"> | ||
| <Badge variant="secondary"> | ||
| {droppedFiles.length} file(s) selected | ||
| </Badge> | ||
| </div> | ||
| )} | ||
| </div> | ||
| </CardContent> | ||
| </Card> | ||
|
|
||
| {/* Basic Settings */} | ||
| <div className="grid grid-cols-1 md:grid-cols-2 gap-6"> | ||
| <Card> | ||
| <CardHeader> | ||
| <CardTitle className="flex items-center gap-2"> | ||
| <FolderOpen className="h-5 w-5" /> | ||
| Input Settings | ||
| </CardTitle> | ||
| </CardHeader> | ||
| <CardContent className="space-y-4"> | ||
| <div> | ||
| <Label htmlFor="input-dir">Input Directory</Label> | ||
| <Input | ||
| id="input-dir" | ||
| value={inputDir} | ||
| onChange={(e) => setInputDir(e.target.value)} | ||
| placeholder="Path to image directory" | ||
| /> | ||
| </div> | ||
| <div> | ||
| <Label htmlFor="csv-path">CSV Metadata (Optional)</Label> | ||
| <Input | ||
| id="csv-path" | ||
| value={csvPath} | ||
| onChange={(e) => setCsvPath(e.target.value)} | ||
| placeholder="Path to CSV file with metadata" | ||
| /> | ||
| </div> | ||
| <div> | ||
| <Label htmlFor="label-columns">Label Columns</Label> | ||
| <Input | ||
| id="label-columns" | ||
| value={labelColumns.join(', ')} | ||
| onChange={(e) => setLabelColumns(e.target.value.split(',').map(s => s.trim()).filter(Boolean))} | ||
| placeholder="Column names separated by commas" | ||
| /> | ||
| </div> | ||
| </CardContent> | ||
| </Card> | ||
|
|
||
| <Card> | ||
| <CardHeader> | ||
| <CardTitle className="flex items-center gap-2"> | ||
| <FileImage className="h-5 w-5" /> | ||
| Output Settings | ||
| </CardTitle> | ||
| </CardHeader> | ||
| <CardContent className="space-y-4"> | ||
| <div> | ||
| <Label htmlFor="output-path">Output Path</Label> | ||
| <Input | ||
| id="output-path" | ||
| value={outputPath} | ||
| onChange={(e) => setOutputPath(e.target.value)} | ||
| placeholder="Path for output grid image" | ||
| /> | ||
| </div> | ||
| <div> | ||
| <Label htmlFor="export-format">Export Format</Label> | ||
| <Select value={exportFormat} onValueChange={setExportFormat}> | ||
| <SelectTrigger> | ||
| <SelectValue /> | ||
| </SelectTrigger> | ||
| <SelectContent> | ||
| <SelectItem value="png">PNG</SelectItem> | ||
| <SelectItem value="jpg">JPEG</SelectItem> | ||
| <SelectItem value="webp">WebP</SelectItem> | ||
| <SelectItem value="tiff">TIFF</SelectItem> | ||
| </SelectContent> | ||
| </Select> | ||
| </div> | ||
| <div> | ||
| <Label htmlFor="background-color">Background Color</Label> | ||
| <div className="flex gap-2"> | ||
| <Input | ||
| type="number" | ||
| min="0" | ||
| max="255" | ||
| value={backgroundColor[0]} | ||
| onChange={(e) => setBackgroundColor([parseInt(e.target.value), backgroundColor[1], backgroundColor[2]])} | ||
| placeholder="R" | ||
| className="w-20" | ||
| /> | ||
| <Input | ||
| type="number" | ||
| min="0" | ||
| max="255" | ||
| value={backgroundColor[1]} | ||
| onChange={(e) => setBackgroundColor([backgroundColor[0], parseInt(e.target.value), backgroundColor[2]])} | ||
| placeholder="G" | ||
| className="w-20" | ||
| /> | ||
| <Input | ||
| type="number" | ||
| min="0" | ||
| max="255" | ||
| value={backgroundColor[2]} | ||
| onChange={(e) => setBackgroundColor([backgroundColor[0], backgroundColor[1], parseInt(e.target.value)])} | ||
| placeholder="B" | ||
| className="w-20" | ||
| /> | ||
| <div | ||
| className="w-10 h-10 rounded border" | ||
| style={{ backgroundColor: `rgb(${backgroundColor.join(',')})` }} | ||
| /> | ||
| </div> | ||
| </div> | ||
| </CardContent> | ||
| </Card> | ||
| </div> | ||
|
|
||
| {/* Presets */} | ||
| <Card> | ||
| <CardHeader> | ||
| <CardTitle className="flex items-center gap-2"> | ||
| <Zap className="h-5 w-5" /> | ||
| Quick Presets | ||
| </CardTitle> | ||
| <CardDescription> | ||
| Choose from predefined grid layouts | ||
| </CardDescription> | ||
| </CardHeader> | ||
| <CardContent> | ||
| <div className="grid grid-cols-2 md:grid-cols-4 gap-2"> | ||
| {gridPresets.map((preset) => ( | ||
| <Button | ||
| key={preset.id} | ||
| variant={selectedPreset === preset.id ? "default" : "outline"} | ||
| size="sm" | ||
| onClick={() => applyPreset(preset.id)} | ||
| className="justify-start" | ||
| > | ||
| {preset.name} | ||
| </Button> | ||
| ))} | ||
| </div> | ||
| </CardContent> | ||
| </Card> | ||
| </TabsContent> |
There was a problem hiding this comment.
Add UI controls for CLIP functionality in Basic tab
The Basic tab should include controls for enabling CLIP-based auto-labeling as this is a key feature of the PR.
The Basic tab needs a new section for AI-powered labeling. Would you like me to generate the UI components for CLIP configuration including:
- A switch to enable/disable CLIP auto-labeling
- A dropdown to select CLIP model variants
- Help text explaining when CLIP is used (no CSV provided)
🤖 Prompt for AI Agents
In dream_layer_frontend/src/features/GridExporter/index.tsx between lines 424
and 612, add a new section within the Basic tab UI for CLIP functionality.
Include a switch control to enable or disable CLIP-based auto-labeling, a
dropdown to select different CLIP model variants, and a help text explaining
that CLIP auto-labeling is used only when no CSV metadata file is provided.
Place this new section logically alongside the existing input and output
settings for clear user access.
| try: | ||
| font = ImageFont.truetype("arial.ttf", 36) | ||
| except: | ||
| font = ImageFont.load_default() |
There was a problem hiding this comment.
Avoid bare except; catch the specific Truetype error
Catching all exceptions can mask real errors. Pillow raises OSError for missing fonts.
- try:
- font = ImageFont.truetype("arial.ttf", 36)
- except:
- font = ImageFont.load_default()
+ try:
+ font = ImageFont.truetype("arial.ttf", 36)
+ except OSError:
+ font = ImageFont.load_default()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| try: | |
| font = ImageFont.truetype("arial.ttf", 36) | |
| except: | |
| font = ImageFont.load_default() | |
| try: | |
| font = ImageFont.truetype("arial.ttf", 36) | |
| except OSError: | |
| font = ImageFont.load_default() |
🧰 Tools
🪛 Ruff (0.12.2)
35-35: Do not use bare except
(E722)
🤖 Prompt for AI Agents
In tests/fixtures/create_test_data.py around lines 33 to 36, replace the bare
except clause with an except block that specifically catches OSError, which is
the error Pillow raises when the font file is missing. This change prevents
masking other unexpected exceptions and handles only the missing font scenario.
| {"filename": "test_image_04.png", "seed": "22222", "sampler": "lms", "steps": "15", "cfg": "9.0", "preset": "Creative"}, | ||
| ] | ||
|
|
||
| with open("tests/fixtures/metadata.csv", "w", newline="") as f: |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Write CSV with explicit UTF-8 encoding
Prevents platform-dependent encoding issues.
- with open("tests/fixtures/metadata.csv", "w", newline="") as f:
+ with open("tests/fixtures/metadata.csv", "w", newline="", encoding="utf-8") as f:📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| with open("tests/fixtures/metadata.csv", "w", newline="") as f: | |
| with open("tests/fixtures/metadata.csv", "w", newline="", encoding="utf-8") as f: |
🤖 Prompt for AI Agents
In tests/fixtures/create_test_data.py at line 54, the open function for writing
the CSV file does not specify the encoding, which can cause platform-dependent
encoding issues. Fix this by adding encoding="utf-8" as a parameter to the open
call to explicitly set UTF-8 encoding when writing the file.
| self._is_loaded = False | ||
| # Defer model loading until first use for better performance | ||
|
|
||
| def _load_model(self): | ||
| """Load CLIP model and processor""" | ||
| try: | ||
| from transformers import CLIPProcessor, CLIPModel | ||
|
|
||
| logger.info(f"Loading CLIP model: {self.model_name}") | ||
| self.model = CLIPModel.from_pretrained(self.model_name) | ||
| self.processor = CLIPProcessor.from_pretrained(self.model_name) | ||
| self.tokenizer = self.processor.tokenizer | ||
|
|
||
| self.model.to(self.device) | ||
| self.model.eval() | ||
| logger.info(f"CLIP model loaded successfully on {self.device}") |
There was a problem hiding this comment.
Set _is_loaded flag after successful model loading
The _is_loaded flag is initialized but never set to True after successful model loading, causing the model to be reloaded on every call.
self.model.to(self.device)
self.model.eval()
+self._is_loaded = True
logger.info(f"CLIP model loaded successfully on {self.device}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| self._is_loaded = False | |
| # Defer model loading until first use for better performance | |
| def _load_model(self): | |
| """Load CLIP model and processor""" | |
| try: | |
| from transformers import CLIPProcessor, CLIPModel | |
| logger.info(f"Loading CLIP model: {self.model_name}") | |
| self.model = CLIPModel.from_pretrained(self.model_name) | |
| self.processor = CLIPProcessor.from_pretrained(self.model_name) | |
| self.tokenizer = self.processor.tokenizer | |
| self.model.to(self.device) | |
| self.model.eval() | |
| logger.info(f"CLIP model loaded successfully on {self.device}") | |
| self._is_loaded = False | |
| # Defer model loading until first use for better performance | |
| def _load_model(self): | |
| """Load CLIP model and processor""" | |
| try: | |
| from transformers import CLIPProcessor, CLIPModel | |
| logger.info(f"Loading CLIP model: {self.model_name}") | |
| self.model = CLIPModel.from_pretrained(self.model_name) | |
| self.processor = CLIPProcessor.from_pretrained(self.model_name) | |
| self.tokenizer = self.processor.tokenizer | |
| self.model.to(self.device) | |
| self.model.eval() | |
| self._is_loaded = True | |
| logger.info(f"CLIP model loaded successfully on {self.device}") |
🤖 Prompt for AI Agents
In dream_layer_backend_utils/labeled_grid_exporter.py around lines 92 to 107,
the _is_loaded flag is never set to True after the model loads successfully,
causing repeated reloads. Fix this by setting self._is_loaded = True at the end
of the _load_model method after the model and processor have been loaded and
initialized without errors.
| try: | ||
| # Handle batch processing | ||
| if args.batch: | ||
| processor = BatchProcessor(os.path.dirname(args.output_path)) |
There was a problem hiding this comment.
Fix output directory for batch processing
In batch mode, args.output_path might not be set, causing os.path.dirname(args.output_path) to fail.
Use the correct output directory from batch arguments:
-processor = BatchProcessor(os.path.dirname(args.output_path))
+processor = BatchProcessor(output_dir) # output_dir is already set correctly in line 1128📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| processor = BatchProcessor(os.path.dirname(args.output_path)) | |
| processor = BatchProcessor(output_dir) # output_dir is already set correctly in line 1128 |
🤖 Prompt for AI Agents
In dream_layer_backend_utils/labeled_grid_exporter.py at line 1158, the code
uses os.path.dirname(args.output_path) to set the output directory for
BatchProcessor, but args.output_path may be unset in batch mode causing a
failure. Update the code to use the correct output directory from the
batch-specific arguments instead of args.output_path to ensure the directory is
valid and set properly.
| from typing import List, Dict, Optional, Tuple, Callable | ||
| from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageEnhance | ||
| import tempfile | ||
| import shutil | ||
| import torch | ||
| import numpy as np |
There was a problem hiding this comment.
Remove unused imports and make torch import conditional
Several imports are unused and should be removed. Additionally, torch should be imported conditionally to maintain the optional dependency requirement.
-from typing import List, Dict, Optional, Tuple, Callable
+from typing import List, Dict, Tuple, Callable
from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageEnhance
-import tempfile
-import shutil
-import torch
-import numpy as npMove the torch import to where it's needed (in CLIPLabeler._load_model).
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| from typing import List, Dict, Optional, Tuple, Callable | |
| from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageEnhance | |
| import tempfile | |
| import shutil | |
| import torch | |
| import numpy as np | |
| -from typing import List, Dict, Optional, Tuple, Callable | |
| -from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageEnhance | |
| -import tempfile | |
| -import shutil | |
| -import torch | |
| -import numpy as np | |
| +from typing import List, Dict, Tuple, Callable | |
| +from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageEnhance |
🧰 Tools
🪛 Ruff (0.12.2)
12-12: typing.Optional imported but unused
Remove unused import: typing.Optional
(F401)
14-14: tempfile imported but unused
Remove unused import: tempfile
(F401)
15-15: shutil imported but unused
Remove unused import: shutil
(F401)
17-17: numpy imported but unused
Remove unused import: numpy
(F401)
🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py around
lines 12 to 17, remove all unused imports to clean up the code. Specifically,
delete the torch import from the top and instead import torch conditionally
inside the CLIPLabeler._load_model method where it is actually used, ensuring
torch remains an optional dependency.
| self.device = device or ("cuda" if torch.cuda.is_available() else "cpu") | ||
| self.model = None | ||
| self.processor = None | ||
| self.tokenizer = None | ||
| # Defer model loading until first use |
There was a problem hiding this comment.
Fix device selection and add missing _is_loaded flag
The device selection uses torch before it's conditionally imported, and the _is_loaded flag is missing.
-self.device = device or ("cuda" if torch.cuda.is_available() else "cpu")
+self.device = device # Will be set when model is loaded
self.model = None
self.processor = None
self.tokenizer = None
+self._is_loaded = False
# Defer model loading until first useThen update _load_model to set the flag:
self.model.eval()
self._is_loaded = True
logger.info(f"CLIP model loaded successfully on {self.device}")🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py around
lines 38 to 42, the device selection uses torch.cuda.is_available() before torch
is conditionally imported, causing a potential error, and the _is_loaded flag is
missing. Fix this by ensuring torch is imported before using it for device
selection, add the _is_loaded attribute initialized to False in the constructor,
and update the _load_model method to set self._is_loaded = True after setting
the model to eval mode and logging the successful load.
| if self.model is None: | ||
| try: | ||
| self._load_model() | ||
| except Exception as e: | ||
| logger.warning(f"Failed to load CLIP model: {str(e)}") | ||
| return "unlabeled" |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use _is_loaded flag for consistency
The method checks self.model is None but should use the _is_loaded flag for consistency with the design pattern.
-if self.model is None:
+if not self._is_loaded:
try:
self._load_model()
except Exception as e:
logger.warning(f"Failed to load CLIP model: {str(e)}")
return "unlabeled"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if self.model is None: | |
| try: | |
| self._load_model() | |
| except Exception as e: | |
| logger.warning(f"Failed to load CLIP model: {str(e)}") | |
| return "unlabeled" | |
| if not self._is_loaded: | |
| try: | |
| self._load_model() | |
| except Exception as e: | |
| logger.warning(f"Failed to load CLIP model: {str(e)}") | |
| return "unlabeled" |
🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py around
lines 91 to 96, replace the condition checking if self.model is None with a
check of the _is_loaded flag to maintain consistency with the class's design
pattern. Modify the if statement to use if not self._is_loaded instead of if
self.model is None, ensuring the model loading logic aligns with the intended
state tracking.
| try: | ||
| # Handle batch processing | ||
| if args.batch: | ||
| processor = BatchProcessor(os.path.dirname(args.output_path)) |
There was a problem hiding this comment.
Fix BatchProcessor initialization in batch mode
In batch mode, the output directory logic is incorrect as it uses args.output_path which might not be properly set for batch processing.
The batch processing should use the last argument as the output directory:
-processor = BatchProcessor(os.path.dirname(args.output_path))
+# For batch mode, last argument is the output directory
+output_dir = args.batch[-1] if args.batch else os.path.dirname(args.output_path)
+processor = BatchProcessor(output_dir)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| processor = BatchProcessor(os.path.dirname(args.output_path)) | |
| # For batch mode, last argument is the output directory | |
| output_dir = args.batch[-1] if args.batch else os.path.dirname(args.output_path) | |
| processor = BatchProcessor(output_dir) |
🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py at
line 747, the BatchProcessor is incorrectly initialized with the directory of
args.output_path, which may not be set correctly in batch mode. Update the
initialization to use the last argument from the command line arguments as the
output directory instead, ensuring batch processing uses the correct output
path.
- Fix tmp_file.name usage with flush() for file safety - Add shlex.quote() to prevent command injection in subprocess.run - Consolidate duplicate labeled_grid_exporter.py files - Remove duplicate import statements - Add evidence images for PR documentation
There was a problem hiding this comment.
Actionable comments posted: 3
🔭 Outside diff range comments (1)
tatus (1)
1-50: Remove stray repository status file.This looks like an accidental commit of a status/manifest dump and not source code. Please delete it from the repo.
Apply:
- A PR_SUMMARY.md - M README.md - A TASK_3_AUDIT.md - A TASK_3_COMPREHENSIVE_REPORT.md - A TASK_3_PR_TEMPLATE.md - A TASK_3_SUMMARY.md - A demo_images/create_demo_comparison.py - A demo_images/create_demo_images.py - M docs/changelog.md - A docs/task3_after.png - A docs/task3_before.png - A docs/task3_demo.png - A docs/task3_demo_small.png - A dream_layer_backend/PR_SUBMISSION_GUIDE.md - A dream_layer_backend/TASK3_COMPLETE_SUMMARY.md - A dream_layer_backend/create_sample_grid.py - M dream_layer_backend/dream_layer.py - A dream_layer_backend/dream_layer_backend_utils/README.md - A dream_layer_backend/dream_layer_backend_utils/labeled_grid_exporter.py - A dream_layer_backend/run_grid_exporter_tests.py - A dream_layer_backend/sample_output/sample_grid.png - A dream_layer_backend/tests/README_grid_exporter_tests.md - A dream_layer_backend/tests/test_clip_integration.py - A dream_layer_backend/tests/test_labeled_grid_exporter.py - A dream_layer_backend_utils/COMFYUI_ANALYSIS.md - A dream_layer_backend_utils/DEBUG_SUMMARY.md - A dream_layer_backend_utils/README.md - A dream_layer_backend_utils/README_CLIP.md - A dream_layer_backend_utils/comfyui_custom_node.py - A dream_layer_backend_utils/example_clip_usage.py - A dream_layer_backend_utils/labeled_grid_exporter.py - A dream_layer_backend_utils/requirements_clip.txt - M dream_layer_frontend/src/components/Navigation/TabsNav.tsx - M dream_layer_frontend/src/components/ui/progress.tsx - M dream_layer_frontend/src/components/ui/separator.tsx - M dream_layer_frontend/src/components/ui/switch.tsx - M dream_layer_frontend/src/components/ui/tabs.tsx - A dream_layer_frontend/src/features/GridExporter/README.md - A dream_layer_frontend/src/features/GridExporter/index.tsx - A dream_layer_frontend/src/features/GridExporter/presets.ts - M dream_layer_frontend/src/pages/Index.tsx - A task3.md - A tests/fixtures/create_test_data.py - A tests/fixtures/images/test_image_01.png - A tests/fixtures/images/test_image_02.png - A tests/fixtures/images/test_image_03.png - A tests/fixtures/images/test_image_04.png - A tests/fixtures/metadata.csv - A tests/fixtures/test_grid.pngOr simply remove the file entirely.
♻️ Duplicate comments (6)
dream_layer_backend/dream_layer.py (6)
575-581: Prune unused imports in create_labeled_grid.collect_images, read_metadata, ImagePreprocessor, tempfile, and the inner json import are unused here. Clean them up to satisfy Ruff and reduce overhead.
- from dream_layer_backend_utils.labeled_grid_exporter import ( - assemble_grid_enhanced, collect_images, read_metadata, - GridTemplate, BatchProcessor, ImagePreprocessor - ) - import tempfile - import json + from dream_layer_backend_utils.labeled_grid_exporter import ( + assemble_grid_enhanced, + GridTemplate, + BatchProcessor, + )
610-614: Validate rows/cols/cell_size/font_size/margin/background_color.cell_size positivity was flagged earlier; rows/cols and color should also be validated to avoid runtime errors and weird canvases.
rows = data.get('rows') cols = data.get('cols') cell_size = tuple(data.get('cell_size', [256, 256])) font_size = data.get('font_size', 16) margin = data.get('margin', 10) + # Validate numeric params + def _to_int(x, default): + try: + return int(x) + except (TypeError, ValueError): + return default + rows = _to_int(rows, 3) + cols = _to_int(cols, 3) + if rows <= 0 or cols <= 0: + return jsonify({"status": "error", "message": "rows and cols must be positive integers"}), 400 + if not isinstance(cell_size, (list, tuple)) or len(cell_size) != 2: + return jsonify({"status": "error", "message": "cell_size must be a [width, height] array"}), 400 + try: + cw, ch = int(cell_size[0]), int(cell_size[1]) + except (TypeError, ValueError): + return jsonify({"status": "error", "message": "cell_size values must be integers"}), 400 + if cw <= 0 or ch <= 0: + return jsonify({"status": "error", "message": "cell_size values must be positive"}), 400 + cell_size = (cw, ch) + font_size = _to_int(font_size, 16) + margin = _to_int(margin, 10) + # Validate background_color if provided + bc = data.get('background_color', [255, 255, 255]) + if not isinstance(bc, (list, tuple)) or len(bc) != 3: + return jsonify({"status": "error", "message": "background_color must be [r,g,b]"}), 400 + try: + r, g, b = [max(0, min(255, int(v))) for v in bc] + except (TypeError, ValueError): + return jsonify({"status": "error", "message": "background_color must contain integers 0-255"}), 400 + background_color = (r, g, b)
631-643: Batch parity: propagate background_color to batch processing.Batch runs currently ignore background_color, diverging from single-run behavior.
results = processor.process_batch( input_dirs=data['batch_dirs'], template=template, label_columns=label_columns, csv_path=csv_path, export_format=export_format, preprocessing=preprocessing, + background_color=background_color, use_clip=use_clip, clip_model=clip_model )Additionally update dream_layer_backend_utils/labeled_grid_exporter.py:
class BatchProcessor: @@ - def process_batch( + def process_batch( self, input_dirs: List[str], template: GridTemplate, label_columns: List[str] = None, csv_path: str = None, export_format: str = "png", preprocessing: Dict = None, + background_color: Tuple[int, int, int] = (255, 255, 255), use_clip: bool = False, clip_model: str = "openai/clip-vit-base-patch32", ) -> List[Dict]: @@ - result = assemble_grid_enhanced( + result = assemble_grid_enhanced( input_dir=input_dir, output_path=output_path, template=template, label_columns=label_columns or [], csv_path=csv_path, export_format=export_format, preprocessing=preprocessing, + background_color=background_color, use_clip=use_clip, clip_model=clip_model, )Run to confirm signature change locations:
#!/bin/bash rg -n -A3 -B3 $'class BatchProcessor' dream_layer_backend_utils/labeled_grid_exporter.py rg -n -A6 -B2 $'def process_batch\\(' dream_layer_backend_utils/labeled_grid_exporter.py rg -n -A8 -B2 $'assemble_grid_enhanced\\(' dream_layer_backend_utils/labeled_grid_exporter.py
671-676: Avoid bare except; catch Exception explicitly.Prevents masking unrelated errors and satisfies Ruff E722.
- except: + except Exception: grid_size = "Unknown"
750-765: Harden template save path; sanitize filename and avoid path traversal.Use a module-relative templates dir and sanitize filename to mitigate traversal; also avoid exposing absolute paths in responses.
- template_dir = os.path.join(os.getcwd(), 'templates') + template_dir = os.path.join(os.path.dirname(__file__), 'templates') os.makedirs(template_dir, exist_ok=True) @@ - filepath = os.path.join(template_dir, f"{filename}.json") + safe_name = os.path.splitext(os.path.basename(filename))[0] + filepath = os.path.join(template_dir, f"{safe_name}.json") save_template(template, filepath) @@ return jsonify({ "status": "success", - "message": f"Template saved to {filepath}", - "filepath": filepath + "message": "Template saved", + "filename": f"{safe_name}.json" + # Consider omitting absolute paths from API responses for security })
793-806: Harden template load path; sanitize filename and lock to module-relative dir.Prevents path traversal and unintended file access.
- template_dir = os.path.join(os.getcwd(), 'templates') - filepath = os.path.join(template_dir, f"{filename}.json") + template_dir = os.path.join(os.path.dirname(__file__), 'templates') + safe_name = os.path.splitext(os.path.basename(filename))[0] + filepath = os.path.join(template_dir, f"{safe_name}.json")
🧹 Nitpick comments (2)
dream_layer_backend/dream_layer.py (2)
647-647: Remove f-prefix from static message.Literal f-string; no placeholders.
- "message": f"Batch processing completed", + "message": "Batch processing completed",
699-727: Consider including a “name” field constraint or enum for templates.Optional: lock template names to a known set to avoid collisions client-side.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (2)
tests/fixtures/test_grid_clip_evidence.pngis excluded by!**/*.pngtests/fixtures/test_grid_evidence.pngis excluded by!**/*.png
📒 Files selected for processing (2)
dream_layer_backend/dream_layer.py(3 hunks)tatus(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (1)
dream_layer_backend/dream_layer.py (1)
dream_layer_backend_utils/labeled_grid_exporter.py (8)
assemble_grid_enhanced(765-939)collect_images(615-715)read_metadata(557-582)GridTemplate(392-432)BatchProcessor(435-489)process_batch(442-489)to_dict(411-420)from_dict(423-432)
🪛 Ruff (0.12.2)
dream_layer_backend/dream_layer.py
576-576: dream_layer_backend_utils.labeled_grid_exporter.collect_images imported but unused
Remove unused import
(F401)
576-576: dream_layer_backend_utils.labeled_grid_exporter.read_metadata imported but unused
Remove unused import
(F401)
577-577: dream_layer_backend_utils.labeled_grid_exporter.ImagePreprocessor imported but unused
Remove unused import
(F401)
579-579: tempfile imported but unused
Remove unused import: tempfile
(F401)
580-580: json imported but unused
Remove unused import: json
(F401)
647-647: f-string without any placeholders
Remove extraneous f prefix
(F541)
675-675: Do not use bare except
(E722)
823-823: io.BytesIO imported but unused
Remove unused import: io.BytesIO
(F401)
846-846: Local variable template is assigned to but never used
Remove assignment to unused variable template
(F841)
884-884: Undefined name assemble_grid_enhanced
(F821)
🔇 Additional comments (1)
dream_layer_backend/dream_layer.py (1)
699-727: Templates endpoint looks good.Static list, simple serialization, clear defaults. No issues spotted.
| import threading | ||
| import time | ||
| import platform | ||
| import shlex |
There was a problem hiding this comment.
Fix path quoting in subprocess.run; remove shlex usage.
Passing shlex.quote() inside an argument list causes literal quotes in the path, breaking macOS open -R, Windows explorer /select,, and Linux xdg-open calls.
Apply:
- import shlex
+ # shlex not needed; we pass paths as separate args
@@
- subprocess.run(['open', '-R', shlex.quote(image_path)], check=True)
+ subprocess.run(['open', '-R', image_path], check=True)
@@
- subprocess.run(['explorer', '/select,', shlex.quote(image_path)], check=True)
+ subprocess.run(['explorer', '/select,', image_path], check=True)
@@
- subprocess.run(['xdg-open', shlex.quote(output_dir)], check=True)
+ subprocess.run(['xdg-open', output_dir], check=True)Also applies to: 402-411
🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer.py at line 6 and also lines 402 to 411,
remove the use of shlex.quote() when passing file paths to subprocess.run calls.
The current use of shlex.quote() adds literal quotes around paths, causing
issues with commands like macOS open -R, Windows explorer /select,, and Linux
xdg-open. Instead, pass the file paths as plain strings without quoting to fix
the path handling in these subprocess calls.
| @app.route('/api/create-labeled-grid', methods=['POST']) | ||
| def create_labeled_grid(): | ||
| """Create a labeled grid from images with enhanced features""" | ||
| try: | ||
| from dream_layer_backend_utils.labeled_grid_exporter import ( | ||
| assemble_grid_enhanced, collect_images, read_metadata, | ||
| GridTemplate, BatchProcessor, ImagePreprocessor | ||
| ) | ||
| import tempfile | ||
| import json | ||
|
|
||
| data = request.get_json() | ||
| if not data: | ||
| return jsonify({ | ||
| "status": "error", | ||
| "message": "No data provided" | ||
| }), 400 | ||
|
|
||
| # Basic required parameters | ||
| input_dir = data.get('input_dir') | ||
| output_path = data.get('output_path') | ||
|
|
||
| if not input_dir or not output_path: | ||
| return jsonify({ | ||
| "status": "error", | ||
| "message": "input_dir and output_path are required" | ||
| }), 400 | ||
|
|
||
| # Enhanced parameters | ||
| csv_path = data.get('csv_path') | ||
| label_columns = data.get('label_columns', []) | ||
| export_format = data.get('export_format', 'png') | ||
| background_color = tuple(data.get('background_color', [255, 255, 255])) | ||
|
|
||
| # CLIP auto-labeling parameters | ||
| use_clip = data.get('use_clip', False) | ||
| clip_model = data.get('clip_model', 'openai/clip-vit-base-patch32') | ||
|
|
||
| # Grid template parameters | ||
| rows = data.get('rows') | ||
| cols = data.get('cols') | ||
| cell_size = tuple(data.get('cell_size', [256, 256])) | ||
| font_size = data.get('font_size', 16) | ||
| margin = data.get('margin', 10) | ||
|
|
||
| # Create grid template | ||
| template = GridTemplate( | ||
| name="api", | ||
| rows=rows or 3, | ||
| cols=cols or 3, | ||
| cell_size=cell_size, | ||
| margin=margin, | ||
| font_size=font_size | ||
| ) | ||
|
|
||
| # Preprocessing options | ||
| preprocessing = None | ||
| if 'preprocessing' in data: | ||
| preprocessing = data['preprocessing'] | ||
|
|
||
| # Batch processing | ||
| if 'batch_dirs' in data and data['batch_dirs']: | ||
| processor = BatchProcessor(os.path.dirname(output_path)) | ||
| results = processor.process_batch( | ||
| input_dirs=data['batch_dirs'], | ||
| template=template, | ||
| label_columns=label_columns, | ||
| csv_path=csv_path, | ||
| export_format=export_format, | ||
| preprocessing=preprocessing, | ||
| use_clip=use_clip, | ||
| clip_model=clip_model | ||
| ) | ||
|
|
||
| return jsonify({ | ||
| "status": "success", | ||
| "message": f"Batch processing completed", | ||
| "results": results, | ||
| "total_processed": len(results) | ||
| }) | ||
|
|
||
| # Single directory processing | ||
| result = assemble_grid_enhanced( | ||
| input_dir=input_dir, | ||
| output_path=output_path, | ||
| template=template, | ||
| label_columns=label_columns, | ||
| csv_path=csv_path, | ||
| export_format=export_format, | ||
| preprocessing=preprocessing, | ||
| background_color=background_color, | ||
| use_clip=use_clip, | ||
| clip_model=clip_model | ||
| ) | ||
|
|
||
| # Get the actual output file size and dimensions | ||
| output_size = None | ||
| grid_size = "Unknown" | ||
| if os.path.exists(output_path): | ||
| output_size = os.path.getsize(output_path) | ||
| try: | ||
| from PIL import Image | ||
| with Image.open(output_path) as img: | ||
| grid_size = f"{img.width}×{img.height}" | ||
| except: | ||
| grid_size = "Unknown" | ||
|
|
||
| return jsonify({ | ||
| "status": "success", | ||
| "message": f"Labeled grid created successfully at {output_path}", | ||
| "output_path": output_path, | ||
| "images_processed": result['images_processed'], | ||
| "grid_dimensions": result['grid_dimensions'], | ||
| "canvas_size": result['canvas_size'], | ||
| "export_format": result['export_format'], | ||
| "grid_size": grid_size, | ||
| "file_size_bytes": output_size | ||
| }) | ||
|
|
||
| except Exception as e: | ||
| print(f"❌ Error creating labeled grid: {str(e)}") | ||
| import traceback | ||
| traceback.print_exc() | ||
| return jsonify({ | ||
| "status": "error", | ||
| "message": str(e) | ||
| }), 500 | ||
|
|
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Add export_format validation and path consistency checks.
To avoid save errors and mismatches:
- Validate export_format to one of {"png","jpg","jpeg"}.
- Ensure output_path extension matches export_format (or normalize).
export_format = data.get('export_format', 'png')
background_color = tuple(data.get('background_color', [255, 255, 255]))
+ valid_formats = {"png", "jpg", "jpeg"}
+ if not isinstance(export_format, str) or export_format.lower() not in valid_formats:
+ return jsonify({"status": "error", "message": f"export_format must be one of {sorted(valid_formats)}"}), 400
+ # Optional: enforce path extension consistency
+ _, ext = os.path.splitext(output_path)
+ if not ext:
+ output_path = f"{output_path}.{export_format.lower()}"If you want this normalization behavior, I can propagate the adjusted output_path to the response and any downstream references.
🏁 Script executed:
#!/bin/bash
# Locate and inspect export_format handling in the grid exporter utilities
FILE=$(rg -l "def assemble_grid_enhanced" | head -n 1)
echo "=== assemble_grid_enhanced in: $FILE ==="
rg -A10 -n "def assemble_grid_enhanced" "$FILE"
rg -n "export_format" "$FILE"
FILE2=$(rg -l "class BatchProcessor" | head -n 1)
echo "=== BatchProcessor in: $FILE2 ==="
rg -A10 -n "class BatchProcessor" "$FILE2"
rg -n "export_format" "$FILE2"Length of output: 2809
Validate export_format and normalize output_path extension
To prevent downstream save errors and user confusion, add explicit checks for the export_format and ensure the output_path uses the matching file extension before any processing occurs.
• File: dream_layer_backend/dream_layer.py
• Function: create_labeled_grid (around where export_format and output_path are read)
Suggested changes:
# Enhanced parameters
csv_path = data.get('csv_path')
label_columns = data.get('label_columns', [])
- export_format = data.get('export_format', 'png')
+ export_format = data.get('export_format', 'png')
background_color = tuple(data.get('background_color', [255, 255, 255]))
+ # --- start export_format validation & path normalization ---
+ valid_formats = {"png", "jpg", "jpeg"}
+ if not isinstance(export_format, str) or export_format.lower() not in valid_formats:
+ return jsonify({
+ "status": "error",
+ "message": f"export_format must be one of {sorted(valid_formats)}"
+ }), 400
+ export_format = export_format.lower()
+ # Ensure output_path has the correct extension
+ base, ext = os.path.splitext(output_path)
+ if ext.lower() != f".{export_format}":
+ output_path = f"{base}.{export_format}"
+ # --- end validation & normalization ---
# CLIP auto-labeling parameters
use_clip = data.get('use_clip', False)Also update the final JSON response to return this potentially modified output_path, for example:
return jsonify({
"status": "success",
"message": f"Labeled grid created successfully at {output_path}",
- "output_path": output_path,
+ "output_path": output_path,
...
})📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| @app.route('/api/create-labeled-grid', methods=['POST']) | |
| def create_labeled_grid(): | |
| """Create a labeled grid from images with enhanced features""" | |
| try: | |
| from dream_layer_backend_utils.labeled_grid_exporter import ( | |
| assemble_grid_enhanced, collect_images, read_metadata, | |
| GridTemplate, BatchProcessor, ImagePreprocessor | |
| ) | |
| import tempfile | |
| import json | |
| data = request.get_json() | |
| if not data: | |
| return jsonify({ | |
| "status": "error", | |
| "message": "No data provided" | |
| }), 400 | |
| # Basic required parameters | |
| input_dir = data.get('input_dir') | |
| output_path = data.get('output_path') | |
| if not input_dir or not output_path: | |
| return jsonify({ | |
| "status": "error", | |
| "message": "input_dir and output_path are required" | |
| }), 400 | |
| # Enhanced parameters | |
| csv_path = data.get('csv_path') | |
| label_columns = data.get('label_columns', []) | |
| export_format = data.get('export_format', 'png') | |
| background_color = tuple(data.get('background_color', [255, 255, 255])) | |
| # CLIP auto-labeling parameters | |
| use_clip = data.get('use_clip', False) | |
| clip_model = data.get('clip_model', 'openai/clip-vit-base-patch32') | |
| # Grid template parameters | |
| rows = data.get('rows') | |
| cols = data.get('cols') | |
| cell_size = tuple(data.get('cell_size', [256, 256])) | |
| font_size = data.get('font_size', 16) | |
| margin = data.get('margin', 10) | |
| # Create grid template | |
| template = GridTemplate( | |
| name="api", | |
| rows=rows or 3, | |
| cols=cols or 3, | |
| cell_size=cell_size, | |
| margin=margin, | |
| font_size=font_size | |
| ) | |
| # Preprocessing options | |
| preprocessing = None | |
| if 'preprocessing' in data: | |
| preprocessing = data['preprocessing'] | |
| # Batch processing | |
| if 'batch_dirs' in data and data['batch_dirs']: | |
| processor = BatchProcessor(os.path.dirname(output_path)) | |
| results = processor.process_batch( | |
| input_dirs=data['batch_dirs'], | |
| template=template, | |
| label_columns=label_columns, | |
| csv_path=csv_path, | |
| export_format=export_format, | |
| preprocessing=preprocessing, | |
| use_clip=use_clip, | |
| clip_model=clip_model | |
| ) | |
| return jsonify({ | |
| "status": "success", | |
| "message": f"Batch processing completed", | |
| "results": results, | |
| "total_processed": len(results) | |
| }) | |
| # Single directory processing | |
| result = assemble_grid_enhanced( | |
| input_dir=input_dir, | |
| output_path=output_path, | |
| template=template, | |
| label_columns=label_columns, | |
| csv_path=csv_path, | |
| export_format=export_format, | |
| preprocessing=preprocessing, | |
| background_color=background_color, | |
| use_clip=use_clip, | |
| clip_model=clip_model | |
| ) | |
| # Get the actual output file size and dimensions | |
| output_size = None | |
| grid_size = "Unknown" | |
| if os.path.exists(output_path): | |
| output_size = os.path.getsize(output_path) | |
| try: | |
| from PIL import Image | |
| with Image.open(output_path) as img: | |
| grid_size = f"{img.width}×{img.height}" | |
| except: | |
| grid_size = "Unknown" | |
| return jsonify({ | |
| "status": "success", | |
| "message": f"Labeled grid created successfully at {output_path}", | |
| "output_path": output_path, | |
| "images_processed": result['images_processed'], | |
| "grid_dimensions": result['grid_dimensions'], | |
| "canvas_size": result['canvas_size'], | |
| "export_format": result['export_format'], | |
| "grid_size": grid_size, | |
| "file_size_bytes": output_size | |
| }) | |
| except Exception as e: | |
| print(f"❌ Error creating labeled grid: {str(e)}") | |
| import traceback | |
| traceback.print_exc() | |
| return jsonify({ | |
| "status": "error", | |
| "message": str(e) | |
| }), 500 | |
| # Enhanced parameters | |
| csv_path = data.get('csv_path') | |
| label_columns = data.get('label_columns', []) | |
| export_format = data.get('export_format', 'png') | |
| background_color = tuple(data.get('background_color', [255, 255, 255])) | |
| # --- start export_format validation & path normalization --- | |
| valid_formats = {"png", "jpg", "jpeg"} | |
| if not isinstance(export_format, str) or export_format.lower() not in valid_formats: | |
| return jsonify({ | |
| "status": "error", | |
| "message": f"export_format must be one of {sorted(valid_formats)}" | |
| }), 400 | |
| export_format = export_format.lower() | |
| # Ensure output_path has the correct extension | |
| base, ext = os.path.splitext(output_path) | |
| if ext.lower() != f".{export_format}": | |
| output_path = f"{base}.{export_format}" | |
| # --- end validation & normalization --- |
🧰 Tools
🪛 Ruff (0.12.2)
576-576: dream_layer_backend_utils.labeled_grid_exporter.collect_images imported but unused
Remove unused import
(F401)
576-576: dream_layer_backend_utils.labeled_grid_exporter.read_metadata imported but unused
Remove unused import
(F401)
577-577: dream_layer_backend_utils.labeled_grid_exporter.ImagePreprocessor imported but unused
Remove unused import
(F401)
579-579: tempfile imported but unused
Remove unused import: tempfile
(F401)
580-580: json imported but unused
Remove unused import: json
(F401)
647-647: f-string without any placeholders
Remove extraneous f prefix
(F541)
675-675: Do not use bare except
(E722)
🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer.py within the create_labeled_grid function
around lines 580-620 where export_format and output_path are read, add
validation to ensure export_format is one of the supported formats (e.g., 'png',
'jpg', 'jpeg') and raise an error if not. Normalize the output_path file
extension to match the export_format by replacing or appending the correct
extension before any processing. Also update the final JSON response to return
this potentially modified output_path so the client receives the accurate file
path.
| from dream_layer_backend_utils.labeled_grid_exporter import collect_images, GridTemplate | ||
| import tempfile | ||
| import base64 | ||
| from io import BytesIO | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Fix undefined import, remove unused imports/vars, and avoid duplicate I/O in preview.
- assemble_grid_enhanced is used but not imported.
- BytesIO is unused.
- Local template is unused.
- Avoid calling collect_images twice; reuse images_info length.
- Optional: pass use_clip/clip_model for parity with main creation.
- from dream_layer_backend_utils.labeled_grid_exporter import collect_images, GridTemplate
+ from dream_layer_backend_utils.labeled_grid_exporter import (
+ collect_images,
+ GridTemplate,
+ assemble_grid_enhanced,
+ )
import tempfile
import base64
- from io import BytesIO- template = GridTemplate(
- name="preview",
- rows=rows,
- cols=cols,
- cell_size=cell_size,
- margin=margin,
- font_size=font_size
- )
+ # Note: Using a smaller preview template below for speed result = assemble_grid_enhanced(
input_dir=input_dir,
output_path=temp_output,
template=preview_template,
label_columns=data.get('label_columns', []),
csv_path=data.get('csv_path'),
export_format='png',
preprocessing=data.get('preprocessing'),
- background_color=tuple(data.get('background_color', [255, 255, 255]))
+ background_color=tuple(data.get('background_color', [255, 255, 255])),
+ use_clip=data.get('use_clip', False),
+ clip_model=data.get('clip_model', 'openai/clip-vit-base-patch32'),
)- "images_found": len(collect_images(input_dir)),
+ "images_found": len(images_info),
"images_in_preview": len(images_info),Also applies to: 884-893, 904-905, 846-853
🧰 Tools
🪛 Ruff (0.12.2)
823-823: io.BytesIO imported but unused
Remove unused import: io.BytesIO
(F401)
🤖 Prompt for AI Agents
In dream_layer_backend/dream_layer.py around lines 820 to 824 and also at lines
846-853, 884-893, and 904-905, fix the undefined import by adding the missing
import for assemble_grid_enhanced. Remove the unused import of BytesIO and
eliminate the unused local variable template. Refactor the code to avoid calling
collect_images twice by storing its result once and reusing the length of
images_info. Optionally, update function calls to pass use_clip and clip_model
parameters to maintain parity with the main creation logic.
2 participants
Description
This PR implements Task #3 by integrating OpenAI's CLIP model into the labeled grid exporter, enabling intelligent automatic image labeling when no CSV metadata is provided. The enhancement maintains 100% backward compatibility while adding powerful AI-driven capabilities.
Changes Made
--use-clipand--clip-modelcommand-line optionsEvidence Required ✅
UI Screenshot
Generated Image
Logs
Tests
Checklist
Key Features Summary
�� CLIP Integration
openai/clip-vit-base-patch32, variants)🧠 Smart Label Priority System
--use-clipenabled)⚙️ Optional Dependencies
🎛️ Enhanced CLI Interface
--use-clip- Enable AI-powered auto-labeling--clip-model- Specify CLIP model variant--batch- CLIP support for multiple directoriesBackward Compatibility
✅ 100% compatible - All existing functionality preserved exactly as-is. CLIP capabilities are entirely opt-in via
--use-clipflag.Ready to Merge
This implementation transforms the grid exporter from a manual metadata tool into an intelligent AI-powered system while maintaining complete backward compatibility. The 30/30 passing tests and comprehensive documentation demonstrate production readiness.
Summary by Sourcery
Enable intelligent AI‐driven auto‐labeling in the Labeled Grid Exporter via OpenAI CLIP integration while preserving existing functionality, add new API endpoints and UI support, introduce a template system and batch workflows, and ship comprehensive documentation and test coverage.
New Features:
--use-clipand--clip-modelCLI flags to enable and configure AI auto‐labeling/api/create-labeled-grid,/api/preview-grid, and template management)Enhancements:
GridTemplateabstraction across CLI, API, and UIDocumentation:
Tests:
Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Tests
Chores