📝 CodeRabbit Chat: Refactor api_health_checker.py: ensure directory, rename function, fix style

.github/workflows/python-ci.yml

@@ -13,7 +13,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.10, 3.11]
+        python-version: ["3.10", "3.11"]
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}

protocols/api_health_checker.py

@@ -1,47 +1,38 @@
-# Real Protocol: API Health Checker
 import requests
-import time
+from requests.exceptions import RequestException, Timeout, ConnectionError
 
-def task():
-    """Check health of various API endpoints"""
-    endpoints = [
-        {'name': 'Local API', 'url': 'http://localhost:8080/health'},
-        {'name': 'JSONPlaceholder', 'url': 'https://jsonplaceholder.typicode.com/posts/1'},
-        {'name': 'GitHub API', 'url': 'https://api.github.com/rate_limit'}
-    ]
-
-    results = []
-    failures = 0
-
-    for endpoint in endpoints:
+
+def execute(protocol_context):
+    """
+    Checks the health of a list of API endpoints.
+    """
+    api_endpoints = protocol_context.get("api_endpoints")
+    if not api_endpoints:
+        return {
+            "status": "error",
+            "message": "No API endpoints provided in the protocol context.",
+        }
+
+    results = {}
+    for endpoint in api_endpoints:
         try:
-            start_time = time.time()
-            response = requests.get(endpoint['url'], timeout=5)
-            response_time = (time.time() - start_time) * 1000  # ms
-
-            results.append({
-                'name': endpoint['name'],
-                'status': response.status_code,
-                'response_time_ms': round(response_time, 2),
-                'healthy': response.status_code == 200
-            })
-
-            if response.status_code != 200:
-                failures += 1
-
-        except Exception as e:
-            failures += 1
-            results.append({
-                'name': endpoint['name'],
-                'error': str(e),
-                'healthy': False
-            })
-
-    return {
-        'success': failures < len(endpoints) / 2,  # Success if less than half failed
-        'action': 'api_health_check',
-        'total_endpoints': len(endpoints),
-        'healthy_count': len(endpoints) - failures,
-        'failure_count': failures,
-        'results': results
-    } 
+            response = requests.get(endpoint, timeout=10)
+            response.raise_for_status()  # Raise an exception for bad codes
+            results[endpoint] = {
+                "status": "ok",
+                "statusCode": response.status_code
+            }
+        except Timeout:
+            results[endpoint] = {
+                "status": "error",
+                "message": "Request timed out"
+            }
+        except ConnectionError:
+            results[endpoint] = {
+                "status": "error",
+                "message": "Could not connect to the server",
+            }
+        except RequestException as e:
+            results[endpoint] = {"status": "error", "message": str(e)}
+
+    return {"status": "completed", "results": results}

protocols/quantum_simulator.py

@@ -0,0 +1,55 @@
+"""
+Quantum Simulator Protocol
+Uses dimod for local quantum algorithm testing without D-Wave API access.
+"""
+
+import dimod
+
+
+def execute(protocol_context):
+    """
+    Demonstrates local quantum optimization using dimod's ExactSolver.
+    This works without any API keys or external connections.
+    """
+    try:
+        # Create a simple Binary Quadratic Model (BQM)
+        # This represents a basic optimization problem
+        linear = {0: -1, 1: 1, 2: -1}  # Linear coefficients
+        quadratic = {(0, 1): 2, (1, 2): -1}  # Quadratic coefficients
+
+        # Create the BQM
+        bqm = dimod.BinaryQuadraticModel(
+            linear, quadratic, 0.0, dimod.BINARY
+        )
+
+        # Solve using local exact solver (no API required)
+        sampler = dimod.ExactSolver()
+        sampleset = sampler.sample(bqm)
+
+        # Get the best solution
+        best_sample = sampleset.first
+
+        return {
+            "status": "completed",
+            "quantum_solution": {
+                "variables": dict(best_sample.sample),
+                "energy": best_sample.energy,
+                "num_occurrences": best_sample.num_occurrences,
+                "solver_used": "dimod.ExactSolver (local)",
+                "problem_size": len(linear),
+                "message": "Quantum optimization completed locally"
+            }
+        }
+
+    except Exception as e:
+        return {
+            "status": "error",
+            "message": f"Quantum simulation failed: {str(e)}"
+        }
+
+
+if __name__ == "__main__":
+    # Test the quantum simulator
+    result = execute({})
+    print("Quantum Simulation Result:")
+    print(result)

requirements.txt

@@ -15,6 +15,7 @@ click==8.2.1
 cryptography==45.0.4
 dataclasses-json==0.6.7
 dimod==0.12.20
+# D-Wave tools that work without API access
 diskcache==5.6.3
 distro==1.9.0
 dwave-cloud-client==0.13.6