#Issue-35 Gen-Ai Powered Pull Request Descriptions with openMP spec Integration

.gitignore

@@ -1,3 +1,5 @@
+CDEL
+
 #==============================================================================#
 # This file specifies intentionally untracked files that git should ignore.
 # See: http://www.kernel.org/pub/software/scm/git/docs/gitignore.html
@@ -73,3 +75,5 @@ pythonenv*
 /clang/utils/analyzer/projects/*/RefScanBuildResults
 # automodapi puts generated documentation files here.
 /lldb/docs/python_api/
+
+CDEL

GEN_AI_PR_DESC/.gitignore

@@ -0,0 +1,17 @@
+extract.py
+generated_summary.txt
+laaama.py 
+llaam.py 
+model.py
+
+OpenMPSpec.pdf
+pr_143504_spec_snippets.txt
+pr_summary_with_spec.txt
+pr_summary.txt
+script.py
+summary.py
+test.py
+test.txt
+env
+CDEL
+

GEN_AI_PR_DESC/.python-version

@@ -0,0 +1 @@
+3.8.17

GEN_AI_PR_DESC/app.py

@@ -0,0 +1,161 @@
+import json
+import re
+import requests
+from tkinter import Tk, Label, Entry, Button, Text, Scrollbar, END, messagebox
+from tkinter.scrolledtext import ScrolledText
+from groq import Groq
+from pdfminer.high_level import extract_text
+
+# ========== CONFIG ==========
+REPO = "llvm/llvm-project"
+MODEL_NAME = "llama3-70b-8192"
+#PDF_PATH = "OpenMPSpec.pdf"  The file OpenMPSpec.pdf should be included in the directory.
+
+# ============================
+client = Groq()
+
+# ----------------------------
+def fetch_and_save_pr_data(pr_number):
+    files_url = f"https://api.github.com/repos/{REPO}/pulls/{pr_number}/files"
+    pr_url = f"https://api.github.com/repos/{REPO}/pulls/{pr_number}"
+
+    files_res = requests.get(files_url)
+    pr_res = requests.get(pr_url)
+
+    if files_res.status_code != 200 or pr_res.status_code != 200:
+        raise Exception(f"Failed to fetch PR data. Status codes: files={files_res.status_code}, pr={pr_res.status_code}")
+
+    files_data = files_res.json()
+    pr_data = pr_res.json()
+
+    patch_path = f"pr_{pr_number}_files.json"
+    title_path = f"pr_{pr_number}.json"
+
+    with open(patch_path, "w") as f:
+        json.dump(files_data, f, indent=2)
+    with open(title_path, "w") as f:
+        json.dump(pr_data, f, indent=2)
+
+    return patch_path, title_path
+
+# ----------------------------
+def load_spec_text(pdf_path):
+    return extract_text(pdf_path)
+
+def load_patches(patch_path):
+    with open(patch_path, 'r') as f:
+        return json.load(f)
+
+def load_titles(title_path, filenames):
+    with open(title_path, 'r') as f:
+        data = json.load(f)
+        title = data.get("title", "No title provided")
+        return {fname: title for fname in filenames}
+
+def extract_keywords(text):
+    return set(re.findall(r'\b\w+\b', text.lower())) - {
+        'a', 'an', 'the', 'in', 'of', 'to', 'and', 'is', 'for', 'int', 'float', 'if', 'else', 'return', 'void', 'bool'
+    }
+
+def find_spec_section_by_keywords(spec_text, keywords, min_score=2):
+    lines = spec_text.split('\n')
+    candidates = []
+
+    for i, line in enumerate(lines):
+        line_lower = line.lower()
+        match_score = sum(1 for word in keywords if word in line_lower)
+        if match_score >= min_score:
+            section_header = None
+            for j in range(i, max(i - 10, 0), -1):
+                m = re.match(r'(Section|chapter|Clause)?\s*([0-9.]+)', lines[j], re.IGNORECASE)
+                if m:
+                    section_header = m.group(2)
+                    break
+            if section_header:
+                candidates.append((match_score, section_header, lines[i].strip()))
+
+    if candidates:
+        candidates.sort(reverse=True)
+        return candidates[0][1]
+    return "N/A"
+
+def summarize_patch(patch, section_text):
+    prompt = f"""
+        You are reviewing a GitHub pull request. Below is the code patch and a relevant specification section.
+
+        Summarize the purpose of this pull request, explaining what functionality it adds, changes, or fixes. 
+        Be concise and clear.
+
+        Patch:
+        {patch}
+
+        Relevant Spec Section:
+        {section_text}
+        """
+    response = client.chat.completions.create(
+        model=MODEL_NAME,
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=1024,
+    )
+    return response.choices[0].message.content
+
+# ----------------------------
+# GUI Integration
+# ----------------------------
+def run_analysis():
+    pr_number = entry.get().strip()
+    output_text.delete(1.0, END)
+
+    if not pr_number.isdigit():
+        messagebox.showerror("Input Error", "Please enter a valid numeric PR number.")
+        return
+
+    try:
+        output_text.insert(END, f"Fetching PR #{pr_number}...\n")
+        patch_path, title_path = fetch_and_save_pr_data(pr_number)
+        patches = load_patches(patch_path)
+        filenames = [p['filename'] for p in patches]
+        title_lookup = load_titles(title_path, filenames)
+        spec_text = load_spec_text(PDF_PATH)
+
+        for i, patch_item in enumerate(patches):
+            filename = patch_item.get('filename', 'unknown')
+            patch = patch_item.get('patch', '')
+            title = title_lookup.get(filename, "")
+
+            title_keywords = extract_keywords(title)
+            patch_keywords = extract_keywords(patch)
+
+            section_id = find_spec_section_by_keywords(spec_text, title_keywords)
+            if section_id == "N/A":
+                section_id = find_spec_section_by_keywords(spec_text, patch_keywords)
+
+            section_info = f"Section {section_id}" if section_id != "N/A" else "No relevant section found"
+            summary = summarize_patch(patch, section_info)
+
+            output_text.insert(END, f"\n--- Patch {i+1}: {filename} ---\n")
+            output_text.insert(END, f"{summary}\n")
+            output_text.insert(END, "-" * 60 + "\n")
+
+        output_text.insert(END, "Done.\n")
+
+    except Exception as e:
+        messagebox.showerror("Error", str(e))
+
+# ----------------------------
+# Build GUI
+# ----------------------------
+root = Tk()
+root.title("OpenMP PR Analyzer")
+
+Label(root, text="Enter GitHub PR Number:").grid(row=0, column=0, padx=10, pady=10, sticky="w")
+entry = Entry(root, width=30)
+entry.grid(row=0, column=1, padx=10, pady=10)
+
+Button(root, text="Summarize", command=run_analysis, bg="lightblue").grid(row=0, column=2, padx=10, pady=10)
+
+output_text = ScrolledText(root, width=100, height=30, wrap="word")
+output_text.grid(row=1, column=0, columnspan=3, padx=10, pady=10)
+
+root.mainloop()