Update performance_agent.py

performance_agent.py

@@ -1,63 +1,63 @@
-# performance_agent.py
-
-import os
-import requests
-
-class PerformanceAgent:
-    """
-    Wraps the PageSpeed Insights API to fetch
-    Lighthouse scores for a given URL.
-    On any network/API failure, returns all-100% defaults.
-    """
-
-    EXPECTED_CATEGORIES = ("performance", "accessibility", "best-practices", "seo")
-
-    def __init__(self):
-        self.api_key  = os.getenv("PAGESPEED_API_KEY","AIzaSyAKyKYao-FVDmhqcwLojv6DDl7nALjwghg")
-        self.endpoint = "https://www.googleapis.com/pagespeedonline/v5/runPagespeed"
-        if not self.api_key:
-            raise ValueError("PAGESPEED_API_KEY not set in .env")
-
-    def fetch_performance(self, url: str, strategy: str = "mobile") -> dict:
-        params = {
-            "url": url,
-            "strategy": strategy,  # "mobile" or "desktop"
-            "key": self.api_key
-        }
-
-        try:
-            resp = requests.get(self.endpoint, params=params, timeout=30)
-            resp.raise_for_status()
-            data   = resp.json()
-            lh     = data.get("lighthouseResult", {})
-            cats   = lh.get("categories", {})
-            audits = lh.get("audits", {})
-
-            # Build scores, default missing/unparsable → 100.0
-            scores = {}
-            for cat in self.EXPECTED_CATEGORIES:
-                raw = cats.get(cat, {}).get("score")
-                if isinstance(raw, (int, float)):
-                    scores[cat] = round(raw * 100, 1)
-                else:
-                    scores[cat] = 100.0
-
-            # Collect audits < 100% for suggestions
-            audit_suggestions = {}
-            for audit_id, info in audits.items():
-                sc = info.get("score")
-                if isinstance(sc, (int, float)) and sc < 1:
-                    audit_suggestions[audit_id] = info.get("displayValue", "").strip()
-
-            return {
-                "scores": scores,
-                "audit_suggestions": audit_suggestions
-            }
-
-        except requests.exceptions.RequestException as e:
-            # Log the error and return an all-100% default, with no suggestions
-            print(f"[PerformanceAgent] PSI API error: {e}")
-            return {
-                "scores": {cat: 100.0 for cat in self.EXPECTED_CATEGORIES},
-                "audit_suggestions": {}
-            }
+# performance_agent.py
+
+import os
+import requests
+
+class PerformanceAgent:
+    """
+    Wraps the PageSpeed Insights API to fetch
+    Lighthouse scores for a given URL.
+    On any network/API failure, returns all-100% defaults.
+    """
+
+    EXPECTED_CATEGORIES = ("performance", "accessibility", "best-practices", "seo")
+
+    def __init__(self):
+        self.api_key  = os.getenv("PAGESPEED_API_KEY","AAIzaSyBcFCQnfZLrAa2azkYvD-0ytIvQe32LlFs")
+        self.endpoint = "https://www.googleapis.com/pagespeedonline/v5/runPagespeed"
+        if not self.api_key:
+            raise ValueError("PAGESPEED_API_KEY not set in .env")
+
+    def fetch_performance(self, url: str, strategy: str = "mobile") -> dict:
+        params = {
+            "url": url,
+            "strategy": strategy,  # "mobile" or "desktop"
+            "key": self.api_key
+        }
+
+        try:
+            resp = requests.get(self.endpoint, params=params, timeout=30)
+            resp.raise_for_status()
+            data   = resp.json()
+            lh     = data.get("lighthouseResult", {})
+            cats   = lh.get("categories", {})
+            audits = lh.get("audits", {})
+
+            # Build scores, default missing/unparsable → 100.0
+            scores = {}
+            for cat in self.EXPECTED_CATEGORIES:
+                raw = cats.get(cat, {}).get("score")
+                if isinstance(raw, (int, float)):
+                    scores[cat] = round(raw * 100, 1)
+                else:
+                    scores[cat] = 100.0
+
+            # Collect audits < 100% for suggestions
+            audit_suggestions = {}
+            for audit_id, info in audits.items():
+                sc = info.get("score")
+                if isinstance(sc, (int, float)) and sc < 1:
+                    audit_suggestions[audit_id] = info.get("displayValue", "").strip()
+
+            return {
+                "scores": scores,
+                "audit_suggestions": audit_suggestions
+            }
+
+        except requests.exceptions.RequestException as e:
+            # Log the error and return an all-100% default, with no suggestions
+            print(f"[PerformanceAgent] PSI API error: {e}")
+            return {
+                "scores": {cat: 100.0 for cat in self.EXPECTED_CATEGORIES},
+                "audit_suggestions": {}
+            }