Add Gemma-based image recognition scaffold

src/common/config_loader.py

@@ -69,6 +69,23 @@ def loadOcrConfig():
     }
 
 
+def loadVisionConfig():
+    config = loadTomlFile(CONFIG_FILE)
+    vision = config.get("vision", {})
+
+    return {
+        "model_name": str(vision.get("model_name", "google/gemma-3-4b-it")).strip(),
+        "prompt": str(
+            vision.get(
+                "prompt",
+                "Describe the image briefly and extract any readable text.",
+            )
+        ).strip(),
+        "max_new_tokens": int(vision.get("max_new_tokens", 256)),
+        "temperature": float(vision.get("temperature", 0.2)),
+    }
+
+
 def loadVrcLogConfig():
     config = loadTomlFile(CONFIG_FILE)
     vrc_log = config.get("vrc_log", {})
@@ -108,6 +125,14 @@ def loadVrcLogConfig():
     notice_section = event_config.get("notice", {})
     missing_count = notice_section.get("missing_count", 0)
 
+    log_patterns = (
+        vrc_log.get("patterns")
+        or vrc_log.get("log_patterns")
+        or event_config.get("patterns")
+        or event_config.get("log_patterns")
+        or []
+    )
+
     if not missing_count:
         missing_count = event_config.get("missing_count", 0)
 
@@ -127,4 +152,5 @@ def loadVrcLogConfig():
         "staff_names": [str(name).strip() for name in staff_names if str(name).strip()],
         "missing_count": int(missing_count),
         "self_name": str(self_name).strip(),
+        "log_patterns": [str(pattern).strip() for pattern in log_patterns if str(pattern).strip()],
     }