[Catalog] Fix lambda fetcher

sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py

@@ -11,6 +11,7 @@
 import csv
 import json
 import os
+from typing import Optional, Tuple
 
 import requests
 
@@ -43,18 +44,19 @@
     'RTX6000': 24576,
     'V100': 16384,
     'H100': 81920,
+    'GENERAL': None
 }
 
 
-def name_to_gpu(name: str) -> str:
+def name_to_gpu_and_cnt(name: str) -> Optional[Tuple[str, int]]:
     # Edge case
     if name == 'gpu_8x_a100_80gb_sxm4':
-        return 'A100-80GB'
-    return name.split('_')[2].upper()
-
-
-def name_to_gpu_cnt(name: str) -> int:
-    return int(name.split('_')[1].replace('x', ''))
+        return 'A100-80GB', 8
+    gpu = name.split('_')[2].upper()
+    if gpu == 'GENERAL':
+        return None
+    gpu_cnt = int(name.split('_')[1].replace('x', ''))
+    return gpu, gpu_cnt
 
 
 def create_catalog(api_key: str, output_path: str) -> None:
@@ -71,24 +73,32 @@ def create_catalog(api_key: str, output_path: str) -> None:
         # We parse info.keys() in reverse order so gpu_1x_a100_sxm4 comes before
         # gpu_1x_a100 in the catalog (gpu_1x_a100_sxm4 has more availability).
         for vm in reversed(list(info.keys())):
-            gpu = name_to_gpu(vm)
-            gpu_cnt = float(name_to_gpu_cnt(vm))
+            gpu_and_cnt = name_to_gpu_and_cnt(vm)
+            gpu: Optional[str]
+            gpu_cnt: Optional[float]
+            if gpu_and_cnt is None:
+                gpu, gpu_cnt = None, None
+            else:
+                gpu = gpu_and_cnt[0]
+                gpu_cnt = float(gpu_and_cnt[1])
             vcpus = float(info[vm]['instance_type']['specs']['vcpus'])
             mem = float(info[vm]['instance_type']['specs']['memory_gib'])
-            price = float(info[vm]['instance_type']\
-                    ['price_cents_per_hour']) / 100
-            gpuinfo = {
-                'Gpus': [{
-                    'Name': gpu,
-                    'Manufacturer': 'NVIDIA',
-                    'Count': gpu_cnt,
-                    'MemoryInfo': {
-                        'SizeInMiB': GPU_TO_MEMORY[gpu]
-                    },
-                }],
-                'TotalGpuMemoryInMiB': GPU_TO_MEMORY[gpu]
-            }
-            gpuinfo = json.dumps(gpuinfo).replace('"', "'")  # pylint: disable=invalid-string-quote
+            price = (float(info[vm]['instance_type']['price_cents_per_hour']) /
+                     100)
+            gpuinfo: Optional[str] = None
+            if gpu is not None:
+                gpuinfo_dict = {
+                    'Gpus': [{
+                        'Name': gpu,
+                        'Manufacturer': 'NVIDIA',
+                        'Count': gpu_cnt,
+                        'MemoryInfo': {
+                            'SizeInMiB': GPU_TO_MEMORY[gpu]
+                        },
+                    }],
+                    'TotalGpuMemoryInMiB': GPU_TO_MEMORY[gpu]
+                }
+                gpuinfo = json.dumps(gpuinfo_dict).replace('"', "'")  # pylint: disable=invalid-string-quote
             for r in REGIONS:
                 writer.writerow(
                     [vm, gpu, gpu_cnt, vcpus, mem, price, r, gpuinfo, ''])

sky/clouds/service_catalog/lambda_catalog.py

@@ -13,7 +13,12 @@
 if typing.TYPE_CHECKING:
     from sky.clouds import cloud
 
-_df = common.read_catalog('lambda/vms.csv')
+# Keep it synced with the frequency in
+# skypilot-catalog/.github/workflows/update-lambda-catalog.yml
+_PULL_FREQUENCY_HOURS = 7
+
+_df = common.read_catalog('lambda/vms.csv',
+                          pull_frequency_hours=_PULL_FREQUENCY_HOURS)
 
 # Number of vCPUS for gpu_1x_a10
 _DEFAULT_NUM_VCPUS = 30