fix(pipeline): resolve self.face_encoder attribute error and increase uvicorn keep-alive for Render

app.py

@@ -5,7 +5,7 @@ from pathlib import Path
 
 def run_server(port: int = 8000, host: str = "127.0.0.1"):
     import uvicorn
-    uvicorn.run("app.server:app", host=host, port=port, reload=False)
+    uvicorn.run("app.server:app", host=host, port=port, reload=False, timeout_keep_alive=65)
 
 def run_pipeline(image_path: Path, write_blockchain: bool = True, max_results: int = None, threshold: float = None):
     from app.pipeline import FaceIDPipeline

app/pipeline.py

@@ -202,7 +202,7 @@ class FaceIDPipeline:
             "biometrics": {
                 "detected": face_info["detected"],
                 "face_count": face_info["count"],
-                "embedding_model": f"ArcFace 512-d ({getattr(self.encoder, 'model_name', 'buffalo_s')})",
+                "embedding_model": f"ArcFace 512-d ({getattr(self.face_encoder, 'model_name', 'buffalo_s')})",
                 "embedding_persistent": False,  # RAM only
                 "det_score": face_info.get("det_score", 0.0),
                 "face_boxes": face_info.get("face_boxes", []),

chain/blockchain.json

@@ -1156,5 +1156,80 @@
     },
     "previous_hash": "3d93a113d4c6fe0da53d39e3f5fefad08e879ea9e8a5c019dbd737d24a03e9fd",
     "hash": "f0b09b09a2d9c870c18c19f4150c556b69837f1ab2355d125250e7eeb4811a11"
+  },
+  {
+    "index": 10,
+    "timestamp": 1788773057.0646725,
+    "evidence_record": {
+      "schema_version": "2.0",
+      "protocol": "FaceID forensic evidence",
+      "created_at": "2026-09-07T09:24:17.063930+00:00",
+      "source_image": {
+        "filename": "sample.jpg",
+        "sha256": "954419c50ed11c9db3bd5453548eb1a2c39a967bfdc78dfc9e4f45a034d0ea3d",
+        "phash": "e959968619697996"
+      },
+      "image": {
+        "filename": "sample.jpg",
+        "sha256": "954419c50ed11c9db3bd5453548eb1a2c39a967bfdc78dfc9e4f45a034d0ea3d",
+        "phash": "e959968619697996"
+      },
+      "biometrics": {
+        "detected": false,
+        "face_count": 0,
+        "embedding_model": "ArcFace 512-d (buffalo_s)",
+        "embedding_persistent": false,
+        "det_score": 0.0,
+        "face_boxes": [],
+        "landmarks": []
+      },
+      "face": {
+        "detected": false,
+        "count": 0,
+        "embedding_generated": false,
+        "det_score": 0.0,
+        "face_boxes": [],
+        "landmarks": []
+      },
+      "osint_search": {
+        "provider": "SerpApi Google Lens",
+        "total_candidates": 2,
+        "error": null
+      },
+      "reverse_search": {
+        "provider": "SerpApi Google Lens",
+        "count": 2,
+        "error": null
+      },
+      "best_match": {
+        "title": "Rolling into a new era! Once Upon A KATAMARI out NOW on ...",
+        "source": "Instagram",
+        "link": "https://www.instagram.com/p/DQK_wc9iaHM/",
+        "platform": "Instagram",
+        "is_specific_post": true,
+        "post_type": "Post",
+        "cosine_similarity": null,
+        "visual_similarity": 0.3658,
+        "phash_distance": 28,
+        "verified": false
+      },
+      "deepfake_analysis": {
+        "label": "Deepfake",
+        "risk_score": 0.6974,
+        "confidence": 0.6974,
+        "is_synthetic": true,
+        "model": "prithivMLmods/Deep-Fake-Detector-v2-Model",
+        "status": "ANALYZED"
+      },
+      "verification": {
+        "status": "NO_CONFIRMED_MATCH",
+        "best_similarity": 0.3658,
+        "threshold": 0.9,
+        "phash_max_distance": 12
+      },
+      "evidence_hash": "a2d488fbe5121f34c9efce756544e4a5b261fd3ef82e508e746441408f9cd333"
+    },
+    "previous_hash": "f0b09b09a2d9c870c18c19f4150c556b69837f1ab2355d125250e7eeb4811a11",
+    "hash": "79b0ecb7accd2580888ccb491311fae5d2df03d226addcacf1b3b6833179319d"
   }
 ]