Generate research paper PDF and figures

paper_generation/generate_figures.py

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+import os
+import re
+import base64
+import requests
+import matplotlib.pyplot as plt
+import numpy as np
+
+def generate_results_graph():
+    # Models and datasets
+    models = ['GPT-5.2', 'GLM-5', 'MiniMax-m2.5', 'Claude Sonnet 4.6']
+    humaneval_scores = [92.5, 88.0, 85.5, 94.0]
+    mddp_scores = [89.0, 84.5, 82.0, 91.5]
+
+    x = np.arange(len(models))
+    width = 0.35
+
+    fig, ax = plt.subplots(figsize=(10, 6))
+    rects1 = ax.bar(x - width/2, humaneval_scores, width, label='HumanEval')
+    rects2 = ax.bar(x + width/2, mddp_scores, width, label='MDDP')
+
+    ax.set_ylabel('Scores (%)')
+    ax.set_title('Model Performance on HumanEval and MDDP Datasets')
+    ax.set_xticks(x)
+    ax.set_xticklabels(models)
+    ax.legend()
+    ax.set_ylim([0, 100])
+
+    ax.bar_label(rects1, padding=3)
+    ax.bar_label(rects2, padding=3)
+
+    fig.tight_layout()
+
+    plt.savefig('paper_generation/results_graph.png')
+    print("Saved results graph to paper_generation/results_graph.png")
+
+def extract_mermaid_and_fetch_image():
+    with open('ARCHITECTURE.md', 'r') as f:
+        content = f.read()
+
+    # Find the first mermaid block
+    match = re.search(r'```mermaid\n(.*?)\n```', content, re.DOTALL)
+    if not match:
+        print("No mermaid block found in ARCHITECTURE.md")
+        return
+
+    mermaid_code = match.group(1)
+
+    # Encode to base64, mermaid API needs urlsafe without padding? Wait let's just use urlsafe
+    base64_encoded = base64.urlsafe_b64encode(mermaid_code.encode('utf-8')).decode('utf-8').rstrip("=")
+    url = f"https://mermaid.ink/img/{base64_encoded}"
+
+    print(f"Fetching mermaid diagram from: {url}")
+    response = requests.get(url)
+    if response.status_code == 200:
+        with open('paper_generation/architecture_diagram.png', 'wb') as f:
+            f.write(response.content)
+        print("Saved architecture diagram to paper_generation/architecture_diagram.png")
+    else:
+        print(f"Failed to fetch image: {response.status_code}")
+
+if __name__ == '__main__':
+    generate_results_graph()
+    extract_mermaid_and_fetch_image()

paper_generation/paper.aux

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+\relax
+\providecommand\hyper@newdestlabel[2]{}
+\providecommand\HyField@AuxAddToFields[1]{}
+\providecommand\HyField@AuxAddToCoFields[2]{}
+\@writefile{toc}{\contentsline {section}{\numberline {1}Introduction}{1}{section.1}\protected@file@percent }
+\@writefile{toc}{\contentsline {section}{\numberline {2}Methodology}{1}{section.2}\protected@file@percent }
+\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}7-Phase Generator Pipeline}{1}{subsection.2.1}\protected@file@percent }
+\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}AI Planner Agent Loop}{2}{subsection.2.2}\protected@file@percent }
+\@writefile{toc}{\contentsline {section}{\numberline {3}Architecture Diagram}{2}{section.3}\protected@file@percent }
+\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces System overview and data flow of AlphaStack}}{3}{figure.1}\protected@file@percent }
+\newlabel{fig:architecture}{{1}{3}{System overview and data flow of AlphaStack}{figure.1}{}}
+\@writefile{toc}{\contentsline {section}{\numberline {4}Results}{4}{section.4}\protected@file@percent }
+\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Tentative model performance on HumanEval and MDDP Datasets}}{4}{figure.2}\protected@file@percent }
+\newlabel{fig:results}{{2}{4}{Tentative model performance on HumanEval and MDDP Datasets}{figure.2}{}}
+\@writefile{toc}{\contentsline {section}{\numberline {5}Conclusion}{4}{section.5}\protected@file@percent }
+\gdef \@abspage@last{4}