fix stats page

llm_server/cluster/model_choices.py

@@ -61,7 +61,10 @@ def get_model_choices(regen: bool = False):
     model_choices = dict(sorted(model_choices.items(), key=lambda item: item[0].upper()))
 
     default_backend_url = get_a_cluster_backend()
-    default_model = cluster_config.get_backend(default_backend_url)['model']
+    default_backend_info = cluster_config.get_backend(default_backend_url)
+    if not default_backend_info.get('model'):
+        return None, None
+    default_model = default_backend_info['model']
 
     redis.setp('model_choices', (model_choices, default_model))
     return model_choices, default_model

llm_server/routes/v1/generate_stats.py

@@ -2,7 +2,6 @@ import time
 from datetime import datetime
 
 from llm_server import opts
-from llm_server.cluster.backend import get_a_cluster_backend
 from llm_server.cluster.cluster_config import cluster_config
 from llm_server.cluster.model_choices import get_model_choices
 from llm_server.custom_redis import redis
@@ -17,17 +16,17 @@ def generate_stats(regen: bool = False):
         if c:
             return c
 
-    default_backend_url = get_a_cluster_backend()
-    default_backend_info = cluster_config.get_backend(default_backend_url)
-    if not default_backend_info.get('mode'):
-        return
+    model_choices, default_model = get_model_choices(regen=True)
+    if not model_choices or not default_model:
+        return 'Please wait for Redis to be populated...'
+
     base_client_api = redis.get('base_client_api', dtype=str)
     proompters_5_min = len(redis.zrangebyscore('recent_prompters', time.time() - 5 * 60, '+inf'))
 
     output = {
-        'default': {
-            'model': default_backend_info['model'],
-            'backend': default_backend_url,
+        'models': {
+            'choices': model_choices,
+            'default': default_model,
         },
         'stats': {
             'proompters': {
@@ -76,8 +75,6 @@ def generate_stats(regen: bool = False):
     else:
         output['backend_info'] = {}
 
-    output['default_model'] = get_model_choices(regen=True)[1]
-
     result = deep_sort(output)
 
     # It may take a bit to get the base client API, so don't cache until then.

server.py

@@ -24,7 +24,6 @@ from llm_server.routes.server_error import handle_server_error
 from llm_server.routes.v1 import bp
 from llm_server.sock import init_socketio
 
-
 # TODO: redis SCAN vs KEYS??
 # TODO: implement blind RRD controlled via header and only used when there is a queue on the primary backend(s)
 # TODO: is frequency penalty the same as ooba repetition penalty???