fix pyright errors + revert to old way of handling cancelled api requests

lib/backend.py

@@ -126,7 +126,7 @@ class Backend:
         async def cancel_api_call_if_disconnected() -> web.Response:
             await request.wait_for_disconnection()
             log.debug(f"request with reqnum: {auth_data.reqnum} was canceled")
-            self.metrics._request_canceled(workload=workload)
+            self.metrics._request_canceled(workload=workload, reqnum=auth_data.reqnum)
             return web.Response(status=500)
 
         async def make_request() -> Union[web.Response, web.StreamResponse]:
@@ -141,6 +141,7 @@ class Backend:
             else:
                 log.debug(f"Starting request for reqnum:{auth_data.reqnum}")
             try:
+                start_time = time.time()
                 response = await self.__call_api(handler=handler, payload=payload)
                 status_code = response.status
                 log.debug(
@@ -152,17 +153,19 @@ class Backend:
                     )
                 )
                 res = await handler.generate_client_response(request, response)
-                self.metrics._request_success(workload=workload)
+                self.metrics._request_end(
+                    workload=workload,
+                    req_response_time=time.time() - start_time,
+                    reqnum=auth_data.reqnum,
+                )
                 return res
             except requests.exceptions.RequestException as e:
                 log.debug(f"[backend] Request error: {e}")
-                self.metrics._request_errored(workload=workload)
+                self.metrics._request_errored(
+                    workload=workload, reqnum=auth_data.reqnum
+                )
                 return web.Response(status=500)
             finally:
-                self.metrics._request_end(
-                    workload=workload,
-                    reqnum=auth_data.reqnum,
-                )
                 self.sem.release()
 
         ###########
@@ -183,6 +186,12 @@ class Backend:
         except Exception as e:
             log.debug(f"Exception in main handler loop {e}")
             return web.Response(status=500)
+        finally:
+            if request.task.cancelled():
+                log.debug(f"request with reqnum: {auth_data.reqnum} was canceled")
+                self.metrics._request_canceled(
+                    workload=workload, reqnum=auth_data.reqnum
+                )
 
     async def __healthcheck(self):
         health_check_url = self.benchmark_handler.healthcheck_endpoint
@@ -280,52 +289,41 @@ class Backend:
                     return float(f.readline())
             except FileNotFoundError:
                 pass
-
-            log.debug("Initial run to trigger model loading...")
-            payload = self.benchmark_handler.make_benchmark_payload()
-            await self.__call_api(handler=self.benchmark_handler, payload=payload)
-
             max_throughput = 0
+            last_throughput = 0
             sum_throughput = 0
-            concurrent_requests = 10 if self.allow_parallel_requests else 1
+            for run in range(self.benchmark_handler.benchmark_runs + 1):
-
-            for run in range(1, self.benchmark_handler.benchmark_runs + 1):
                 start = time.time()
-                tasks = []
+                payload = self.benchmark_handler.make_benchmark_payload()
-                total_workload = 0
+                res = await self.__call_api(
-
+                    handler=self.benchmark_handler, payload=payload
-                for _ in range(concurrent_requests):
-                    payload = self.benchmark_handler.make_benchmark_payload()
-                    total_workload += payload.count_workload()
-                    tasks.append(
-                        self.__call_api(handler=self.benchmark_handler, payload=payload)
-                    )
-
-                responses = await gather(*tasks)
-                time_elapsed = time.time() - start
-
-                throughput = total_workload / time_elapsed
-                sum_throughput += throughput
-                max_throughput = max(max_throughput, throughput)
-
-                # Log results for debugging
-                log.debug(
-                    "\n".join(
-                        [
-                            "#" * 60,
-                            f"Run: {run}, concurrent_requests: {concurrent_requests}",
-                            f"Total workload: {total_workload}, time_elapsed: {time_elapsed}s",
-                            f"Throughput: {throughput} workload/s",
-                            f"Successful responses: {len([r for r in responses if r.status == 200])}",
-                            "#" * 60,
-                        ]
-                    )
                 )
-
+                data = await res.json()
+                time_elapsed = time.time() - start
+                # first run triggers one-time loading of the model which is very slow, so we skip counting it
+                if run == 0:
+                    continue
+                else:
+                    workload = payload.count_workload()
+                    last_throughput = workload / time_elapsed
+                    sum_throughput += last_throughput
+                    max_throughput = max(max_throughput, last_throughput)
+                    log.debug(
+                        "\n".join(
+                            [
+                                "#" * 60,
+                                f"Run: {run}, workload: {workload} time_elapsed: {time_elapsed}, throughput: {last_throughput}",
+                                "",
+                                f"response: {data}",
+                                "#" * 60,
+                            ]
+                        )
+                    )
             average_throughput = sum_throughput / self.benchmark_handler.benchmark_runs
             log.debug(
                 f"benchmark result: avg {average_throughput} workload per second, max {max_throughput}"
             )
+            # save max_throughput so we don't have to run benchmark again on restart of cold instances
             with open(BENCHMARK_INDICATOR_FILE, "w") as f:
                 f.write(str(max_throughput))
             return max_throughput

lib/data_types.py

@@ -8,6 +8,7 @@ from aiohttp import web, ClientResponse
 import inspect
 
 import psutil
+import requests
 
 
 """
@@ -205,13 +206,13 @@ class ModelMetrics:
     workload_received: float
     workload_cancelled: float
     workload_errored: float
-    # these are not
     workload_pending: float
+    # these are not
+    cur_perf: float
     error_msg: Optional[str]
     max_throughput: float
     requests_recieved: Set[int] = field(default_factory=set)
     requests_working: Set[int] = field(default_factory=set)
-    last_update: float = field(default_factory=time.time)
 
     @classmethod
     def empty(cls):
@@ -220,15 +221,12 @@ class ModelMetrics:
             workload_served=0.0,
             workload_cancelled=0.0,
             workload_errored=0.0,
+            cur_perf=0.0,
             workload_received=0.0,
             error_msg=None,
             max_throughput=0.0,
         )
 
-    @property
-    def cur_perf(self) -> float:
-        return max(self.workload_served / (time.time() - self.last_update), 0.0)
-
     @property
     def workload_processing(self) -> float:
         return max(self.workload_received - self.workload_cancelled, 0.0)
@@ -242,7 +240,6 @@ class ModelMetrics:
         self.workload_received = 0
         self.workload_cancelled = 0
         self.workload_errored = 0
-        self.last_update = time.time()
 
 
 @dataclass

lib/metrics.py

@@ -46,31 +46,33 @@ class Metrics:
         self.model_metrics.requests_recieved.add(reqnum)
         self.model_metrics.requests_working.add(reqnum)
 
-    def _request_end(self, workload: float, reqnum: int) -> None:
+    def _request_end(
+        self, workload: float, req_response_time: float, reqnum: int
+    ) -> None:
         """
-        this function is called after handling of a request ends, regardless of the outcome
+        this function is called after a response from model API is received.
-        """
-        self.model_metrics.workload_pending -= workload
-        self.model_metrics.requests_working.discard(reqnum)
-
-    def _request_success(self, workload: float) -> None:
-        """
-        this function is called after a response from model API is received and forwarded.
         """
         self.model_metrics.workload_served += workload
+        self.model_metrics.workload_pending -= workload
+        self.model_metrics.requests_working.discard(reqnum)
+        self.model_metrics.cur_perf = workload / req_response_time
         self.update_pending = True
 
-    def _request_errored(self, workload: float) -> None:
+    def _request_errored(self, workload: float, reqnum: int) -> None:
         """
         this function is called if model API returns an error
         """
+        self.model_metrics.workload_pending -= workload
         self.model_metrics.workload_errored += workload
+        self.model_metrics.requests_working.discard(reqnum)
 
-    def _request_canceled(self, workload: float) -> None:
+    def _request_canceled(self, workload: float, reqnum: int) -> None:
         """
         this function is called if client drops connection before model API has responded
         """
+        self.model_metrics.workload_pending -= workload
         self.model_metrics.workload_cancelled += workload
+        self.model_metrics.requests_working.discard(reqnum)
 
     async def _send_metrics_loop(self) -> Awaitable[NoReturn]:
         while True:

lib/server.py

@@ -27,7 +27,7 @@ def start_server(backend: Backend, routes: List[web.RouteDef], **kwargs):
         log.debug("starting server...")
         app = web.Application()
         app.add_routes(routes)
-        runner = web.AppRunner(app)
+        runner = web.AppRunner(app, handler_cancellation=True)
         await runner.setup()
         site = web.TCPSite(
             runner,

lib/test_utils.py

@@ -10,7 +10,6 @@ from collections import Counter
 from dataclasses import dataclass, field, asdict
 from urllib.parse import urljoin
 from utils.endpoint_util import Endpoint
-from utils.ssl import get_cert_file_path
 import requests
 
 from lib.data_types import AuthData, ApiPayload
@@ -121,11 +120,9 @@ class ClientState:
         self.url = worker_address
         url = urljoin(worker_address, self.worker_endpoint)
         self.status = ClientStatus.Generating
-
         response = requests.post(
             url,
             json=req_data,
-            verify=get_cert_file_path(),
         )
         if response.status_code != 200:
             self.infer_error.append(

requirements.txt

@@ -1,4 +1,4 @@
-aiohttp[speedups]==3.10.1
+aiohttp==3.10.1
 anyio~=4.4
 lib~=4.0
 nltk~=3.9
@@ -6,5 +6,5 @@ psutil~=6.0
 pycryptodome~=3.20
 Requests~=2.32
 transformers~=4.52
-utils==1.0.*
+utils~=1.0
 hf_transfer>=0.1.9

utils/endpoint_util.py

@@ -30,12 +30,7 @@ class Endpoint:
         Returns:
             Endpoint API key if successful, None otherwise
         """
-        endpoints = {
+        vast_console_url = "https://console.vast.ai/api/v0/endptjobs/"
-            "alpha": "alpha",
-            "candidate": "candidate",
-            "prod": "console",
-        }
-        vast_console_url = f"https://{endpoints[instance]}.vast.ai/api/v0/endptjobs/"
         headers = {"Authorization": f"Bearer {account_api_key}"}
 
         try:

utils/ssl.py

@@ -1,15 +0,0 @@
-import tempfile
-from functools import cache
-
-import requests
-
-
-@cache
-def get_cert_file_path():
-    cert_url = "https://console.vast.ai/static/jvastai_root.cer"
-    response = requests.get(cert_url)
-    response.raise_for_status()
-    # Use a temporary file that is not deleted on close
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".cer", mode="wb") as f:
-        f.write(response.content)
-        return f.name

workers/comfyui/client.py

@@ -5,7 +5,6 @@ import requests
 
 from lib.test_utils import print_truncate_res
 from utils.endpoint_util import Endpoint
-from utils.ssl import get_cert_file_path
 
 """
 NOTE: this client example uses a custom comfy workflow compatible with SD3 only
@@ -52,7 +51,6 @@ def call_default_workflow(
     response = requests.post(
         url,
         json=req_data,
-        verify=get_cert_file_path(),
     )
     response.raise_for_status()
     print_truncate_res(str(response.json()))
@@ -143,7 +141,6 @@ def call_custom_workflow_for_sd3(
     response = requests.post(
         url,
         json=req_data,
-        verify=get_cert_file_path(),
     )
     response.raise_for_status()
     print_truncate_res(str(response.json()))

workers/openai/client.py

@@ -6,7 +6,6 @@ from urllib.parse import urljoin
 from typing import Dict, Any, Optional, Iterator, Union, List
 import requests
 from utils.endpoint_util import Endpoint
-from utils.ssl import get_cert_file_path
 from .data_types.client import CompletionConfig, ChatCompletionConfig
 
 logging.basicConfig(
@@ -29,16 +28,24 @@ class APIClient:
     DEFAULT_TIMEOUT = 4
 
     def __init__(
-        self,
+        self, endpoint_group_name: str, api_key: str, server_url: str, instance: str
-        endpoint_group_name: str,
-        api_key: str,
-        server_url: str,
-        endpoint_api_key: str,
     ):
         self.endpoint_group_name = endpoint_group_name
         self.api_key = api_key
         self.server_url = server_url
-        self.endpoint_api_key = endpoint_api_key
+        self.instance = instance
+        self.endpoint_api_key = self._get_endpoint_api_key()
+
+    def _get_endpoint_api_key(self) -> Optional[str]:
+        """Get the endpoint API key"""
+        endpoint_api_key = Endpoint.get_endpoint_api_key(
+            endpoint_name=self.endpoint_group_name,
+            account_api_key=self.api_key,
+            instance=self.instance,
+        )
+        if not endpoint_api_key:
+            log.error(f"Failed to get API key for endpoint {self.endpoint_group_name}")
+        return endpoint_api_key
 
     def _get_worker_url(self, cost: int = DEFAULT_COST) -> Dict[str, Any]:
         """Get worker URL and auth data from routing service"""
@@ -91,13 +98,9 @@ class APIClient:
 
         # Make the request using the specified method
         if method.upper() == "POST":
-            response = requests.post(
+            response = requests.post(url, json=req_data, stream=stream)
-                url, json=req_data, stream=stream, verify=get_cert_file_path()
-            )
         elif method.upper() == "GET":
-            response = requests.get(
+            response = requests.get(url, params=req_data, stream=stream)
-                url, params=req_data, stream=stream, verify=get_cert_file_path()
-            )
         else:
             raise ValueError(f"Unsupported HTTP method: {method}")
 
@@ -551,24 +554,12 @@ def main():
         sys.exit(1)
 
     try:
-        endpoint_api_key = Endpoint.get_endpoint_api_key(
-            endpoint_name=args.endpoint_group_name,
-            account_api_key=args.api_key,
-            instance=args.instance,
-        )
-
-        if not endpoint_api_key:
-            log.error(
-                f"Could not retrieve API key for endpoint '{args.endpoint_group_name}'. Exiting."
-            )
-            sys.exit(1)
-
         # Create the core API client
         client = APIClient(
             endpoint_group_name=args.endpoint_group_name,
             api_key=args.api_key,
             server_url=args.server_url,
-            endpoint_api_key=endpoint_api_key,
+            instance=args.instance,
         )
 
         # Create tool manager and demo (passing the model parameter)

workers/openai/data_types/server.py

@@ -124,12 +124,7 @@ class CompletionsData(GenericData):
         if not model:
             raise ValueError("MODEL_NAME environment variable not set")
 
-        test_input = {
+        test_input = {"model": model, "prompt": prompt, "temperature": 0.7}
-            "model": model,
-            "prompt": prompt,
-            "temperature": 0.7,
-            "max_tokens": 500,
-        }
         return cls(input=test_input)
 
 
@@ -163,7 +158,6 @@ class ChatCompletionsData(GenericData):
             "model": model,
             "messages": [{"role": "user", "content": prompt}],
             "temperature": 0.7,
-            "max_tokens": 500,
         }
         return cls(input=test_input)
 

workers/tgi/client.py

@@ -4,7 +4,6 @@ import json
 from urllib.parse import urljoin
 import requests
 from utils.endpoint_util import Endpoint
-from utils.ssl import get_cert_file_path
 
 logging.basicConfig(
     level=logging.DEBUG,
@@ -43,11 +42,7 @@ def call_generate(endpoint_group_name: str, api_key: str, server_url: str) -> No
     req_data = dict(payload=payload, auth_data=auth_data)
     url = urljoin(url, WORKER_ENDPOINT)
     print(f"url: {url}")
-    response = requests.post(
+    response = requests.post(url, json=req_data)
-        url,
-        json=req_data,
-        verify=get_cert_file_path(),
-    )
     response.raise_for_status()
     res = response.json()
     print(res)