import asyncio
import os
from cookbooks.paper_review import PaperReviewPipeline, PipelineConfig, generate_report

async def main():
    config = PipelineConfig(
        model_name="gemini-3-pro-preview",  # Recommended
        api_key=os.environ.get("OPENAI_API_KEY", ""),
        base_url=os.environ.get("OPENAI_BASE_URL", ""),  # OpenAI-compatible proxy
        timeout=1500,
        enable_safety_checks=True,
        enable_correctness=True,
        enable_review=True,
        enable_criticality=True,
    )

    pipeline = PaperReviewPipeline(config)

    # Review paper and generate report
    result, report = await pipeline.review_and_report(
        pdf_input="paper.pdf",
        paper_name="My Research Paper",
        output_path="review_report.md",
    )

    print(f"Review Score: {result.review.score}/6")
    print(f"Report saved to: review_report.md")

asyncio.run(main())

import asyncio
import os
from cookbooks.paper_review import PaperReviewPipeline, PipelineConfig

async def main():
    config = PipelineConfig(
        model_name="gemini-3-pro-preview",  # Recommended
        api_key=os.environ.get("OPENAI_API_KEY", ""),
        base_url=os.environ.get("OPENAI_BASE_URL", ""),  # OpenAI-compatible proxy
        enable_bib_verification=True,
        crossref_mailto="your-email@example.com",  # For CrossRef API
    )

    pipeline = PaperReviewPipeline(config)

    result = await pipeline.review_paper(
        pdf_input="paper.pdf",
        bib_path="references.bib",
    )

    # Check bibliography verification results
    if result.bib_verification:
        for bib_file, summary in result.bib_verification.items():
            print(f"Bibliography: {bib_file}")
            print(f"  Total references: {summary.total_references}")
            print(f"  Verified: {summary.verified}")
            print(f"  Suspect: {summary.suspect}")
            print(f"  Verification rate: {summary.verification_rate:.1%}")

asyncio.run(main())

import asyncio
import os
from cookbooks.paper_review import PaperReviewPipeline, PipelineConfig

async def main():
    config = PipelineConfig(
        model_name="gemini-3-pro-preview",  # Recommended
        api_key=os.environ.get("OPENAI_API_KEY", ""),
        base_url=os.environ.get("OPENAI_BASE_URL", ""),  # OpenAI-compatible proxy
        enable_bib_verification=True,
        crossref_mailto="your-email@example.com",
    )

    pipeline = PaperReviewPipeline(config)

    # Process .tar.gz or .zip package
    result = await pipeline.review_tex_package("paper_source.tar.gz")

    # Access TeX package info
    if result.tex_info:
        print(f"Main TeX file: {result.tex_info.main_tex}")
        print(f"Total TeX files: {result.tex_info.total_files}")
        print(f"BibTeX files: {result.tex_info.bib_files}")
        print(f"Figures: {result.tex_info.figures}")

asyncio.run(main())