Task 5 Submission – report_bundle.zip by Lial Adam #73
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Reviewer's GuideThis PR introduces a dedicated report_bundle under tasks/report_bundle, adding scripts and resources to validate inference outputs, generate a consolidated results CSV, and package all artifacts—including generated image grids—into a zip archive for final submission. Entity relationship diagram for report_bundle data artifactserDiagram
RESULTS_CSV {
id int
image_path string
score float
}
GRIDS ||--o{ RESULTS_CSV : contains
CONFIG_JSON ||--|| RESULTS_CSV : configures
README_TXT ||--|| RESULTS_CSV : documents
REPORT_ZIP ||--o{ GRIDS : packages
REPORT_ZIP ||--o{ RESULTS_CSV : packages
REPORT_ZIP ||--o{ CONFIG_JSON : packages
REPORT_ZIP ||--o{ README_TXT : packages
Class diagram for generate_report.py script structureclassDiagram
class generate_report {
+RESULTS_FILE: str
+CONFIG_FILE: str
+GRIDS_DIR: str
+README_FILE: str
+OUTPUT_ZIP: str
+required_files: list
+required_columns: set
+main logic: validates files, checks CSV, packages ZIP
}
Flow diagram for report generation and packaging processflowchart TD
A[Start: Prepare report_bundle] --> B[Validate required files: results.csv, config.json, README.txt]
B --> C[Check grids directory exists]
C --> D[Open results.csv and validate columns]
D --> E[Check each image_path exists]
E --> F[Package all files and grids/ images into report.zip]
F --> G[Print success message]
G --> H[End]
File-Level Changes
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WalkthroughA new report bundle structure was introduced under Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant generate_report.py
participant FileSystem
User->>generate_report.py: Run script
generate_report.py->>FileSystem: Check for results.csv, config.json, README.txt, grids/
generate_report.py->>FileSystem: Open results.csv and validate columns
generate_report.py->>FileSystem: For each row, check image_path exists
generate_report.py->>FileSystem: Package files and grids/ into report.zip
generate_report.py-->>User: Print success message
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes Poem
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Hey @lialyAdam - I've reviewed your changes - here's some feedback:
- The docstring in generate_report.py references create_report.py instead of generate_report.py; please update it to match the actual filename.
- Consider using os.walk when zipping the grids directory to recursively include any nested subdirectories instead of only top-level files.
- Add a compression option (e.g., compression=zipfile.ZIP_DEFLATED) when creating the ZIP archive to reduce the report size.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- The docstring in generate_report.py references create_report.py instead of generate_report.py; please update it to match the actual filename.
- Consider using os.walk when zipping the grids directory to recursively include any nested subdirectories instead of only top-level files.
- Add a compression option (e.g., compression=zipfile.ZIP_DEFLATED) when creating the ZIP archive to reduce the report size.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| if missing: | ||
| raise ValueError(f"CSV is missing required columns: {missing}") |
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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
| if os.path.isfile(full_path): | ||
| zf.write(full_path, arcname=os.path.join('grids', image_file)) | ||
|
|
||
| print(f"✅ report.zip created successfully!") |
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issue (code-quality): Replace f-string with no interpolated values with string (remove-redundant-fstring)
| missing = required_columns - headers | ||
| if missing: |
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suggestion (code-quality): Use named expression to simplify assignment and conditional (use-named-expression)
| missing = required_columns - headers | |
| if missing: | |
| if missing := required_columns - headers: |
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Actionable comments posted: 0
🧹 Nitpick comments (3)
tasks/report_bundle/generate_report.py (3)
1-9: Good documentation but filename mismatch in docstring.The docstring mentions "create_report.py" but the actual filename is "generate_report.py".
-create_report.py +generate_report.py
11-14: Remove unused import.The
jsonmodule is imported but never used in the script.import os -import json import csv import zipfile
52-52: Remove unnecessary f-string prefix.The string doesn't contain any placeholders, so the f-string prefix is unnecessary.
-print(f"✅ report.zip created successfully!") +print("✅ report.zip created successfully!")
📜 Review details
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Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (4)
tasks/report_bundle.zipis excluded by!**/*.ziptasks/report_bundle/grids/grid1.pngis excluded by!**/*.pngtasks/report_bundle/grids/grid2.pngis excluded by!**/*.pngtasks/report_bundle/results.csvis excluded by!**/*.csv
📒 Files selected for processing (4)
tasks/report_bundle/README.txt(1 hunks)tasks/report_bundle/config.json(1 hunks)tasks/report_bundle/generate_report.py(1 hunks)tasks/report_bundle/test_schema.py(1 hunks)
🧰 Additional context used
🪛 LanguageTool
tasks/report_bundle/README.txt
[style] ~10-~10: Consider using a less common alternative to make your writing sound more unique and professional.
Context: ...ages — labeled previews of the outputs Feel free to explore or reuse any part of it. Let me...
(FEEL_FREE_TO_STYLE_ME)
[style] ~11-~11: Consider using polite language here.
Context: ...ree to explore or reuse any part of it. Let me know if anything’s missing! — Lial
(INSERT_PLEASE)
🪛 Ruff (0.12.2)
tasks/report_bundle/generate_report.py
12-12: json imported but unused
Remove unused import: json
(F401)
52-52: f-string without any placeholders
Remove extraneous f prefix
(F541)
🔇 Additional comments (7)
tasks/report_bundle/config.json (1)
1-6: LGTM! Well-structured configuration for reproducible image generation.The JSON configuration is properly formatted and includes appropriate parameters for stable diffusion model runs. The fixed seed (42) ensures reproducible results, which is essential for validation and testing purposes.
tasks/report_bundle/test_schema.py (2)
3-11: LGTM! Robust CSV schema validation.The function correctly validates the presence of required columns using set operations and provides clear error messages. The implementation is clean and follows Python best practices.
13-14: LGTM! Proper use of main guard.The main guard follows Python best practices and allows the script to be used both as a module and standalone validation tool.
tasks/report_bundle/generate_report.py (3)
23-30: LGTM! Comprehensive file validation.The validation logic correctly checks for all required files and the grids directory before proceeding with the packaging process.
32-40: LGTM! Thorough CSV validation and image file verification.The script properly validates both the CSV schema and verifies that all referenced image files actually exist. This prevents broken references in the final bundle.
42-51: LGTM! Proper ZIP archive creation with directory structure preservation.The ZIP creation correctly includes all required files and preserves the directory structure for the grids folder.
tasks/report_bundle/README.txt (1)
1-13: LGTM! Clear and friendly documentation.The README effectively explains the contents of the report bundle in an approachable tone. It clearly describes each component and their purposes, making it easy for users to understand what's included.
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Actionable comments posted: 0
🧹 Nitpick comments (3)
tasks/report_bundle/generate_report.py (3)
1-10: Complete the module docstring.The docstring on line 3 appears incomplete with "..." - consider providing a complete description of the script's purpose.
-This script (generate_report.py) generates a ZIP archive... +This script (generate_report.py) generates a ZIP archive containing validation results and associated files.
47-47: Fix unused variable to follow conventions.The
subfoldersvariable is not used within the loop body. Rename it to indicate it's intentionally unused.- for foldername, subfolders, filenames in os.walk(GRIDS_DIR): + for foldername, _subfolders, filenames in os.walk(GRIDS_DIR):
23-56: Consider adding main guard and error handling.The script executes immediately when imported, which could cause issues. Consider wrapping the main logic in a
if __name__ == "__main__":guard and adding error handling for graceful failure.+def main(): + try: required_files = [RESULTS_FILE, CONFIG_FILE, README_FILE] for file in required_files: if not os.path.exists(file): raise FileNotFoundError(f"{file} not found!") if not os.path.isdir(GRIDS_DIR): raise FileNotFoundError("Grids directory not found!") required_columns = {'id', 'image_path', 'score'} with open(RESULTS_FILE, newline='') as csvfile: reader = csv.DictReader(csvfile) if not required_columns.issubset(reader.fieldnames): raise ValueError(f"CSV missing required columns: {required_columns - set(reader.fieldnames)}") for row in reader: if not os.path.exists(row['image_path']): raise FileNotFoundError(f"Image file not found: {row['image_path']}") with zipfile.ZipFile(OUTPUT_ZIP, 'w', compression=zipfile.ZIP_DEFLATED) as zf: zf.write(RESULTS_FILE) zf.write(CONFIG_FILE) zf.write(README_FILE) for foldername, _subfolders, filenames in os.walk(GRIDS_DIR): for filename in filenames: file_path = os.path.join(foldername, filename) arcname = os.path.relpath(file_path, start='.') zf.write(file_path, arcname=arcname) print("✅ report.zip created successfully!") + except Exception as e: + print(f"❌ Error creating report: {e}") + return False + return True + +if __name__ == "__main__": + main()
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (1)
tasks/report_bundle/generate_report.py(1 hunks)
🧰 Additional context used
🪛 Ruff (0.12.2)
tasks/report_bundle/generate_report.py
47-47: Loop control variable subfolders not used within loop body
Rename unused subfolders to _subfolders
(B007)
🔇 Additional comments (3)
tasks/report_bundle/generate_report.py (3)
16-20: LGTM!Constants are well-defined with clear, descriptive names following Python conventions.
23-29: LGTM!File and directory existence validation is implemented correctly with appropriate exception handling and clear error messages.
32-40: LGTM!CSV validation logic is robust with proper column checking, file reference validation, and appropriate error handling. The use of set operations for column validation is efficient.
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All suggestions applied — ready for final review. Thanks!
1 participant
Description
This pull request finalizes Task 5 for the DreamLayer project.
For this task, I was responsible for preparing and submitting the final inference report. I focused on making sure the model outputs were properly generated, validated, and packaged in a clean, organized structure that’s easy to review.
Here’s what I worked on:
Ran the model and collected the generated images
Organized all outputs into a folder called grids
Used test_schema.py to validate the format of each result
Generated a summary CSV using generate_report.py
Collected everything into a directory named report_bundle
Compressed that into report_bundle.zip
Committed and pushed everything to GitHub
Created this pull request for final submission
Changes Made
Moved generate_report.py and test_schema.py into tasks/report_bundle
Added the grids folder with all model outputs
Generated and included the results CSV
Created report_bundle.zip with all necessary files
Pushed everything to the main branch
Evidence Required ✅
UI Screenshot
Not applicable – this is a backend/data processing task.
Generated Image
Included inside the grids folder, located in report_bundle.zip.
Logs
report_bundle.zip created successfully
Schema validation passed
csv generated using generate_report.py
Git commit and push completed
Tests (Optional)
generate_report.py ran successfully and generated CSV
test_schema.py passed for all output files
Checklist
Generated images are included
Schema validation and report generation completed
Scripts tested and functional
Files organized correctly
Pull request includes all required details
Final self-review done before submitting
Summary by Sourcery
Finalize Task 5 submission by assembling a report bundle with validation scripts, generated outputs, and packaging into a zip archive.
New Features:
Summary by CodeRabbit
New Features
Documentation