Added 2 more python examples #1800
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WalkthroughThis pull request updates the documentation structure by adding a new group titled "Python guides" in the main docs file. Three new pages—covering image processing, web crawling, and PDF form extraction using Python—are introduced. In addition, the "python-crawl4ai" guide is reorganized by reinstating its "Overview" section, adding an informational block, and simplifying the CLI command instructions. The page is also removed from the "Example projects" group in the docs. Changes
Sequence Diagram(s)sequenceDiagram
participant U as User
participant T as Trigger.dev Task
participant P as Python Script
participant S as S3 Storage
U->>T: Trigger image processing task
T->>P: Execute image-processing.py with parameters
P->>P: Download image from URL
P->>P: Apply transformations (resize, optimize, filters)
P->>S: Upload processed image
P-->>T: Return processing result
T-->>U: Deliver result
sequenceDiagram
participant U as User
participant T as Trigger.dev Task
participant P as Python Script
participant PDF as PDF Source
U->>T: Trigger PDF form extraction task
T->>P: Execute PDF extraction script with URL
P->>PDF: Download PDF file
P->>P: Extract form data from PDF
P-->>T: Return extracted JSON data
T-->>U: Deliver form extraction result
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Actionable comments posted: 0
🧹 Nitpick comments (3)
docs/guides/python/python-image-processing.mdx (2)
39-65: Build configuration instructions are solid.The configuration snippet is clear and instructive. One minor note: consider adding a brief comment or note for Windows users regarding the Python binary path (the current path
venv/bin/pythonis Unix-specific).
213-505: Comprehensive image processing Python script.The Python script leverages Pillow to perform resizing, optimization, and filtering operations. While it is thorough, consider adding additional inline comments to explain each transformation step for enhanced readability and maintainability.
docs/guides/python/python-pdf-form-extractor.mdx (1)
113-182: Python script for PDF extraction is well-structured.The script effectively downloads the PDF, extracts form data using PyMuPDF, and outputs JSON. A minor suggestion is to add a brief comment explaining the special handling of checkbox fields for clarity.
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📒 Files selected for processing (4)
docs/docs.json(1 hunks)docs/guides/python/python-crawl4ai.mdx(3 hunks)docs/guides/python/python-image-processing.mdx(1 hunks)docs/guides/python/python-pdf-form-extractor.mdx(1 hunks)
🧰 Additional context used
🪛 LanguageTool
docs/guides/python/python-image-processing.mdx
[uncategorized] ~11-~11: You might be missing the article “an” here.
Context: ...illow (PIL) from a URL and upload it to S3-compatible storage bucket. ## Prerequisites - A ...
(AI_EN_LECTOR_MISSING_DETERMINER_AN)
[uncategorized] ~15-~15: A punctuation mark might be missing here.
Context: ... A project with Trigger.dev initialized - Python install...
(AI_EN_LECTOR_MISSING_PUNCTUATION)
docs/guides/python/python-pdf-form-extractor.mdx
[uncategorized] ~15-~15: A punctuation mark might be missing here.
Context: ... A project with Trigger.dev initialized - Python install...
(AI_EN_LECTOR_MISSING_PUNCTUATION)
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: Analyze (javascript-typescript)
🔇 Additional comments (14)
docs/docs.json (2)
302-309: New "Python guides" group addition validated.The new group
"Python guides"has been properly added with the three designated pages ("guides/python/python-image-processing", "guides/python/python-crawl4ai", and "guides/python/python-pdf-form-extractor"). This change aligns with the updated documentation structure objectives.
311-317: Reorganization of "Example projects" group.The removal of
"guides/python/python-crawl4ai"from the "Example projects" group helps create a more cohesive categorization of Python-related guides. Please verify that any cross-references to this page have been updated accordingly.docs/guides/python/python-crawl4ai.mdx (2)
10-13: Reintroduction of the Overview section improves clarity.Adding the "Overview" section at the start provides essential context for new users and clearly states the demo's purpose. This enhancement is both user-friendly and in line with best practices for documentation.
116-119: Informational block for the Python build extension added.The inclusion of the
<Info>block that links to detailed information about executing scripts with the Python build extension enhances user guidance and improves the document's usefulness.docs/guides/python/python-image-processing.mdx (4)
1-5: Frontmatter setup is clear and concise.The metadata (title, sidebarTitle, description) accurately reflects the guide’s content, aiding in proper categorization and navigation.
7-12: Clear overview provided.The "Overview" section succinctly explains the purpose of the image processing demo and sets clear expectations for the reader.
🧰 Tools
🪛 LanguageTool
[uncategorized] ~11-~11: You might be missing the article “an” here.
Context: ...illow (PIL) from a URL and upload it to S3-compatible storage bucket. ## Prerequisites - A ...(AI_EN_LECTOR_MISSING_DETERMINER_AN)
71-97: Task code is well-structured.The task code effectively demonstrates how to use
python.runScriptfor image processing and S3 uploads, including appropriate error handling. This provides a solid example for users.
506-547: Testing and deployment instructions are clear.The step-by-step instructions for creating a virtual environment, installing dependencies, and running the CLI commands provide excellent guidance for users testing and deploying this task.
docs/guides/python/python-pdf-form-extractor.mdx (6)
1-5: Frontmatter for PDF form extractor is accurate.The metadata (title, sidebarTitle, and description) clearly communicates the purpose of the guide, ensuring correct categorization and user understanding.
9-12: Overview clearly defines the objective.The "Overview" section concisely explains that the demo extracts structured form data from a PDF via a URL, setting up proper expectations from the start.
38-63: Build configuration is clear and follows standard practices.The provided
trigger.config.tscode block correctly instructs users on how to configure the Python build extension for this guide.
70-101: Task code implementation is solid.The task code example demonstrates robust error handling and JSON parsing when running the Python script, ensuring reliable task execution.
103-111: Requirements file is concise and meets dependency needs.The dependencies and their fixed versions are clearly stated, which should help maintain a consistent setup for users.
184-194: Testing instructions for PDF extractor are comprehensive.The step-by-step guide for testing and deploying the task covers all critical points and ensures that users can easily verify their setup.
Image processing and pdf extractor examples
Summary by CodeRabbit
New Features
Documentation