These are all the Class 10 cbse pyq of different years and different sets. List out the important and most frequemt asked question according to index of the chapter provided. Provide frequency chart too. Analyze all the question from all the pdf and pyq.
cd /tmp/workspace && python3 << 'EOF' import pdfplumber import os from collections import defaultdict import json # List of all PDF files pdf_files = [ "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience2025_set1_Questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience2025_set2_Questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience2023_set3_Questionpaper .pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience_2022_set2_questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience_2022_set3_questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience_2020_Set3_Questionpaper .pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/31-2-3_Science.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/5b299d09-bfc2-47e5-a526-3e0fefa97830.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/74f0c34a-f1d2-4038-999c-c8246feeaec0.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/29a16b10-de8a-44d2-8aff-376781d7a5af.pdf", ] all_text = {} # Extract text from all PDFs for pdf_file in pdf_files: if os.path.exists(pdf_file): try: with pdfplumber.open(pdf_file) as pdf: text = "" for page in pdf.pages: text += page.extract_text() or "" all_text[os.path.basename(pdf_file)] = text print(f"✓ Extracted: {os.path.basename(pdf_file)}") except Exception as e: print(f"✗ Error extracting {os.path.basename(pdf_file)}: {e}") else: print(f"✗ File not found: {pdf_file}") # Save all extracted text for analysis with open("/tmp/workspace/extracted_questions.json", "w") as f: json.dump(all_text, f) print(f"\n✓ Total PDFs processed: {len(all_text)}") EOF
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These are all the Class 10 cbse pyq of different years and different sets. List out the important and most frequemt asked question according to index of the chapter provided. Provide frequency chart too. Analyze all the question from all the pdf and pyq.
cd /tmp/workspace && python3 << 'EOF' import pdfplumber import os from collections import defaultdict # List of all PDF files pdf_files = [ "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience2025_set1_Questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience2025_set2_Questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience2023_set3_Questionpaper .pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience_2022_set2_questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience_2022_set3_questionpaper.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/CBSEScience_2020_Set3_Questionpaper .pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/31-2-3_Science.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/5b299d09-bfc2-47e5-a526-3e0fefa97830.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/74f0c34a-f1d2-4038-999c-c8246feeaec0.pdf", "/tmp/workspace/attachments/ef3e71e8-3f36-4496-8f60-bb6bda08c980/29a16b10-de8a-44d2-8aff-376781d7a5af.pdf", ] all_content = "" # Extract text from all PDFs for pdf_file in pdf_files: if os.path.exists(pdf_file): try: with pdfplumber.open(pdf_file) as pdf: for page in pdf.pages: text = page.extract_text() if text: all_content += text + "\n\n" print(f"✓ {os.path.basename(pdf_file)}") except Exception as e: print(f"✗ {os.path.basename(pdf_file)}: {e}") # Save to file for analysis with open("/tmp/workspace/all_questions.txt", "w", encoding="utf-8") as f: f.write(all_content) print(f"\n✓ Total text extracted: {len(all_content)} characters") print(f"Saved to: /tmp/workspace/all_questions.txt") EOF
Read timeout on endpoint URL: "https://bedrock-agentcore.ap-south-1.amazonaws.com/code-interpreters/orris_code_interpreter-jiK9AacE5I/tools/invoke"
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