Add upload-model and list-models subcommands to emcli

scripts/emcli

@@ -5,8 +5,10 @@ import sys
 import json
 import requests
 import argparse
+import logging
 from multiprocessing import Pool
 from tqdm import tqdm
+import oss2
 
 class SubCommand(object):
     """ Base class of subcommand"""
@@ -275,6 +277,81 @@ class UserInfoCommand(SubCommand):
         r.raise_for_status()
         print(r.json())
 
+class UploadModelCommand(SubCommand):
+    name = "upload-model"
+    want_argv = False
+    help = "Upload model file to OSS bucket for qr-verify API"
+
+    def setup_args(self, parser):
+        parser.add_argument("file", help="Model file to upload")
+
+    def do(self, args, argv):
+        # OSS credentials (same as in emblem5/ai/ossclient.py)
+        oss_ak = 'LTAI5tC2qXGxwHZUZP7DoD1A'
+        oss_sk = 'qPo9O6ZvEfqo4t8oflGEm0DoxLHJhm'
+        
+        # OSS endpoint and bucket (same as in emblem5/ai/server.py download_model)
+        endpoint = 'https://oss-rg-china-mainland.aliyuncs.com'
+        bucket_name = 'emblem-models'
+        
+        model_file = args.file
+        if not os.path.exists(model_file):
+            print(f"Error: File not found: {model_file}", file=sys.stderr)
+            return 1
+        
+        model_name = os.path.basename(model_file)
+        print(f"Uploading {model_file} to {bucket_name}/{model_name}...")
+        
+        try:
+            auth = oss2.Auth(oss_ak, oss_sk)
+            bucket = oss2.Bucket(auth, endpoint, bucket_name)
+            bucket.put_object_from_file(model_name, model_file)
+            print(f"Successfully uploaded {model_name} to OSS bucket {bucket_name}")
+            print(f"The qr-verify API will be able to download it as: {model_name}")
+        except Exception as e:
+            print(f"Error uploading model: {e}", file=sys.stderr)
+            return 1
+
+class ListModelsCommand(SubCommand):
+    name = "list-models"
+    want_argv = False
+    help = "List models available in OSS bucket for qr-verify API"
+
+    def setup_args(self, parser):
+        pass
+
+    def do(self, args, argv):
+        # OSS credentials (same as in emblem5/ai/ossclient.py)
+        oss_ak = 'LTAI5tC2qXGxwHZUZP7DoD1A'
+        oss_sk = 'qPo9O6ZvEfqo4t8oflGEm0DoxLHJhm'
+        
+        # OSS endpoint and bucket (same as in emblem5/ai/server.py download_model)
+        endpoint = 'https://oss-rg-china-mainland.aliyuncs.com'
+        bucket_name = 'emblem-models'
+        
+        try:
+            auth = oss2.Auth(oss_ak, oss_sk)
+            bucket = oss2.Bucket(auth, endpoint, bucket_name)
+            
+            print(f"Models in OSS bucket {bucket_name}:")
+            print("-" * 60)
+            
+            models = []
+            for obj in oss2.ObjectIterator(bucket):
+                models.append(obj.key)
+            
+            if not models:
+                print("No models found in bucket.")
+            else:
+                models.sort()
+                for i, model_name in enumerate(models, 1):
+                    print(f"{i:3d}. {model_name}")
+                print("-" * 60)
+                print(f"Total: {len(models)} model(s)")
+        except Exception as e:
+            print(f"Error listing models: {e}", file=sys.stderr)
+            return 1
+
 def global_args(parser):
     parser.add_argument("--env", "-E", help="Env", default="prod")
     parser.add_argument("-D", "--debug", action="store_true",