Feature: aleph settings services

src/aleph/sdk/client/http.py

@@ -39,6 +39,7 @@
 from aleph.sdk.client.services.port_forwarder import PortForwarder
 from aleph.sdk.client.services.pricing import Pricing
 from aleph.sdk.client.services.scheduler import Scheduler
+from aleph.sdk.client.services.settings import Settings as NetworkSettingsService
 from aleph.sdk.client.services.voucher import Vouchers
 
 from ..conf import settings
@@ -146,7 +147,7 @@ async def __aenter__(self):
         self.instance = Instance(self)
         self.pricing = Pricing(self)
         self.voucher = Vouchers(self)
-
+        self.settings = NetworkSettingsService(self)
         return self
 
     async def __aexit__(self, exc_type, exc_val, exc_tb):

src/aleph/sdk/client/services/crn.py

@@ -97,31 +97,27 @@ def find_gpu_on_network(self):
 
     def filter_crn(
         self,
-        latest_crn_version: bool = False,
+        crn_version: str = None,
         ipv6: bool = False,
         stream_address: bool = False,
         confidential: bool = False,
         gpu: bool = False,
     ) -> list[CRN]:
         """Filter compute resource node list, unfiltered by default.
         Args:
-            latest_crn_version (bool): Filter by latest crn version.
+            crn_version (str): Filter by specific crn version.
             ipv6 (bool): Filter invalid IPv6 configuration.
             stream_address (bool): Filter invalid payment receiver address.
             confidential (bool): Filter by confidential computing support.
             gpu (bool): Filter by GPU support.
         Returns:
             list[CRN]: List of compute resource nodes. (if no filter applied, return all)
         """
-        # current_crn_version = await fetch_latest_crn_version()
-        # Relax current filter to allow use aleph-vm versions since 1.5.1.
-        # TODO: Allow to specify that option on settings aggregate on maybe on GitHub
-        current_crn_version = "1.5.1"
 
         filtered_crn: list[CRN] = []
         for crn_ in self.crns:
             # Check crn version
-            if latest_crn_version and (crn_.version or "0.0.0") < current_crn_version:
+            if crn_version and (crn_.version or "0.0.0") < crn_version:
                 continue
 
             # Filter with ipv6 check

src/aleph/sdk/client/services/settings.py

@@ -0,0 +1,40 @@
+from typing import List
+
+from pydantic import BaseModel
+
+from .base import BaseService
+
+
+class NetworkAvailableGpu(BaseModel):
+    name: str
+    model: str
+    vendor: str
+    device_id: str
+
+
+class NetworkSettingsModel(BaseModel):
+    compatible_gpus: List[NetworkAvailableGpu]
+    last_crn_version: str
+    community_wallet_address: str
+    community_wallet_timestamp: int
+
+
+class Settings(BaseService[NetworkSettingsModel]):
+    """
+    This Service handle logic around Pricing
+    """
+
+    aggregate_key = "settings"
+    model_cls = NetworkSettingsModel
+
+    def __init__(self, client):
+        super().__init__(client=client)
+
+    # Config from aggregate
+    async def get_settings_aggregate(
+        self,
+    ) -> NetworkSettingsModel:
+        result = await self.get_config(
+            address="0xFba561a84A537fCaa567bb7A2257e7142701ae2A"
+        )
+        return result.data[0]

tests/unit/services/test_settings.py

@@ -0,0 +1,200 @@
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from aleph.sdk import AlephHttpClient
+from aleph.sdk.client.services.settings import NetworkSettingsModel, Settings
+
+
+@pytest.fixture
+def mock_settings_aggregate_response():
+    return {
+        "compatible_gpus": [
+            {
+                "name": "AD102GL [L40S]",
+                "model": "L40S",
+                "vendor": "NVIDIA",
+                "device_id": "10de:26b9",
+            },
+            {
+                "name": "GB202 [GeForce RTX 5090]",
+                "model": "RTX 5090",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2685",
+            },
+            {
+                "name": "GB202 [GeForce RTX 5090 D]",
+                "model": "RTX 5090",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2687",
+            },
+            {
+                "name": "AD102 [GeForce RTX 4090]",
+                "model": "RTX 4090",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2684",
+            },
+            {
+                "name": "AD102 [GeForce RTX 4090 D]",
+                "model": "RTX 4090",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2685",
+            },
+            {
+                "name": "GA102 [GeForce RTX 3090]",
+                "model": "RTX 3090",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2204",
+            },
+            {
+                "name": "GA102 [GeForce RTX 3090 Ti]",
+                "model": "RTX 3090",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2203",
+            },
+            {
+                "name": "AD104GL [RTX 4000 SFF Ada Generation]",
+                "model": "RTX 4000 ADA",
+                "vendor": "NVIDIA",
+                "device_id": "10de:27b0",
+            },
+            {
+                "name": "AD104GL [RTX 4000 Ada Generation]",
+                "model": "RTX 4000 ADA",
+                "vendor": "NVIDIA",
+                "device_id": "10de:27b2",
+            },
+            {
+                "name": "GA102GL [RTX A5000]",
+                "model": "RTX A5000",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2231",
+            },
+            {
+                "name": "GA102GL [RTX A6000]",
+                "model": "RTX A6000",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2230",
+            },
+            {
+                "name": "GH100 [H100]",
+                "model": "H100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2336",
+            },
+            {
+                "name": "GH100 [H100 NVSwitch]",
+                "model": "H100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:22a3",
+            },
+            {
+                "name": "GH100 [H100 CNX]",
+                "model": "H100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2313",
+            },
+            {
+                "name": "GH100 [H100 SXM5 80GB]",
+                "model": "H100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2330",
+            },
+            {
+                "name": "GH100 [H100 PCIe]",
+                "model": "H100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2331",
+            },
+            {
+                "name": "GA100",
+                "model": "A100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2080",
+            },
+            {
+                "name": "GA100",
+                "model": "A100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2081",
+            },
+            {
+                "name": "GA100 [A100 SXM4 80GB]",
+                "model": "A100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:20b2",
+            },
+            {
+                "name": "GA100 [A100 PCIe 80GB]",
+                "model": "A100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:20b5",
+            },
+            {
+                "name": "GA100 [A100X]",
+                "model": "A100",
+                "vendor": "NVIDIA",
+                "device_id": "10de:20b8",
+            },
+            {
+                "name": "GH100 [H200 SXM 141GB]",
+                "model": "H200",
+                "vendor": "NVIDIA",
+                "device_id": "10de:2335",
+            },
+            {
+                "name": "GH100 [H200 NVL]",
+                "model": "H200",
+                "vendor": "NVIDIA",
+                "device_id": "10de:233b",
+            },
+            {
+                "name": "AD102GL [RTX 6000 ADA]",
+                "model": "RTX 6000 ADA",
+                "vendor": "NVIDIA",
+                "device_id": "10de:26b1",
+            },
+        ],
+        "last_crn_version": "1.7.2",
+        "community_wallet_address": "0x5aBd3258C5492fD378EBC2e0017416E199e5Da56",
+        "community_wallet_timestamp": 1739996239,
+    }
+
+
+@pytest.mark.asyncio
+async def test_get_settings_aggregate(
+    make_mock_aiohttp_session, mock_settings_aggregate_response
+):
+    client = AlephHttpClient(api_server="http://localhost")
+
+    # Properly mock the fetch_aggregate method using monkeypatch
+    client._http_session = MagicMock()
+    monkeypatch = AsyncMock(return_value=mock_settings_aggregate_response)
+    setattr(client, "fetch_aggregate", monkeypatch)
+
+    settings_service = Settings(client)
+    result = await settings_service.get_settings_aggregate()
+
+    assert isinstance(result, NetworkSettingsModel)
+    assert len(result.compatible_gpus) == 24  # We have 24 GPUs in the mock data
+
+    rtx4000_gpu = next(
+        gpu for gpu in result.compatible_gpus if gpu.device_id == "10de:27b0"
+    )
+    assert rtx4000_gpu.name == "AD104GL [RTX 4000 SFF Ada Generation]"
+    assert rtx4000_gpu.model == "RTX 4000 ADA"
+    assert rtx4000_gpu.vendor == "NVIDIA"
+
+    assert result.last_crn_version == "1.7.2"
+    assert (
+        result.community_wallet_address == "0x5aBd3258C5492fD378EBC2e0017416E199e5Da56"
+    )
+    assert result.community_wallet_timestamp == 1739996239
+
+    # Verify that fetch_aggregate was called with the correct parameters
+    assert monkeypatch.call_count == 1
+    assert (
+        monkeypatch.call_args.kwargs["address"]
+        == "0xFba561a84A537fCaa567bb7A2257e7142701ae2A"
+    )
+    assert monkeypatch.call_args.kwargs["key"] == "settings"