feat: Implementar as melhorias de suporte PDF

[gomesrocha]

Generated by AI Agent
Work Item: c144fa83-798b-4505-9907-5640064e4d2f
Branch: ai-agent/implementar-as-melhorias-de-su-20260305-114235

Summary by CodeRabbit

• New Features
  • PDF text extraction capability added. Users can now extract text content from PDF documents with automatic support for encrypted files and multi-page document processing. Includes error handling for reliable operation.

[coderabbitai]

Caution

Review failed

The pull request is closed.

ℹ️ Recent review info

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Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: f452fdf3-d5ef-4abb-8343-90dd65d38da0

📥 Commits

Reviewing files that changed from the base of the PR and between 6755c7f and 38e02c3.

📒 Files selected for processing (1)

• pdf_support.py

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📝 Walkthrough

Walkthrough

A new Python module pdf_support.py is introduced containing a PDFExtractor class that extracts text from PDF files using PyPDF2. The class initializes with a file path and provides an extract_text() method that reads the PDF, handles encryption, concatenates text from all pages, and returns the result or error message.

Changes

Cohort / File(s)	Summary
PDF Text Extraction pdf_support.py	New module with PDFExtractor class providing PDF text extraction via __init__() and extract_text() methods, including error handling and encryption support using PyPDF2.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Poem

🐰 A PDF arrives at the warren door,
With text trapped inside, wanting more,
PyPDF2 comes to the rescue today,
Extracting words in every way,
Now our PDFs dance and play! 📄✨

✨ Finishing Touches

• 📝 Generate docstrings (stacked PR)
• 📝 Generate docstrings (commit on current branch)

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch ai-agent/implementar-as-melhorias-de-su-20260305-114235

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud