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phases/phase5_ai_review.py

@@ -1,2 +1,39 @@
-def summarize():
-    return "Artifacts ready for AI reasoning (external or local LLM)"
+import json
+import os
+
+def ai_review(llm_callable=None):
+    """
+    llm_callable(text) -> text
+    """
+    if not llm_callable:
+        return "LLM disabled. Skipping AI review."
+
+    rules = json.load(open("artifacts/normalized_rules.json"))
+    findings = json.load(open("artifacts/rule_findings.json"))
+
+    prompt = f"""
+You are a rule–code auditor.
+
+RULES:
+{json.dumps(rules, indent=2)}
+
+FINDINGS:
+{json.dumps(findings, indent=2)}
+
+TASK:
+- For each rule ID, classify:
+  COMPLIANT / VIOLATED / PARTIAL / UNKNOWN
+- Cite evidence
+- Never invent issues
+- If runtime limits enforcement, say so
+
+OUTPUT:
+Markdown report.
+"""
+
+    report = llm_callable(prompt)
+
+    with open("artifacts/final_report.md", "w", encoding="utf-8") as f:
+        f.write(report)
+
+    return "AI review complete"

phases/phase6_patch.py

@@ -0,0 +1,21 @@
+import json
+from analyzers.patch_generator import generate_patch
+
+def create_patches():
+    """
+    Placeholder: human or AI supplies fixed snippets
+    """
+    findings = json.load(open("artifacts/rule_findings.json"))
+
+    patches = []
+    for f in findings:
+        if f["status"] == "VIOLATED":
+            patches.append({
+                "rule": f["rule"],
+                "suggestion": "Manual or AI-assisted patch required"
+            })
+
+    with open("artifacts/patch_plan.json", "w") as f:
+        json.dump(patches, f, indent=2)
+
+    return patches