fix: revert app back with async

builder/modal-builder/src/template/app.py

@@ -9,6 +9,8 @@ from fastapi import FastAPI, Request, HTTPException
 from fastapi.responses import HTMLResponse
 from volume_setup import volumes
 from datetime import datetime
+import aiohttp
+from aiohttp import TCPConnector
 # deploy_test = False
 
 import os
@@ -82,7 +84,7 @@ if not deploy_test:
 # Time to wait between API check attempts in milliseconds
 COMFY_API_AVAILABLE_INTERVAL_MS = 50
 # Maximum number of API check attempts
-COMFY_API_AVAILABLE_MAX_RETRIES = 5000
+COMFY_API_AVAILABLE_MAX_RETRIES = 1000
 # Time to wait between poll attempts in milliseconds
 COMFY_POLLING_INTERVAL_MS = 250
 # Maximum number of poll attempts
@@ -91,48 +93,34 @@ COMFY_POLLING_MAX_RETRIES = 1000
 COMFY_HOST = "127.0.0.1:8188"
 
 
-def check_server(url, retries=50, delay=500):
+async def check_server(url, retries=50, delay=500):
-    import requests
+    import aiohttp
-    import time
+    # for i in range(retries):
-    """
+    while True:
-    Check if a server is reachable via HTTP GET request
-
-    Args:
-    - url (str): The URL to check
-    - retries (int, optional): The number of times to attempt connecting to the server. Default is 50
-    - delay (int, optional): The time in milliseconds to wait between retries. Default is 500
-
-    Returns:
-    bool: True if the server is reachable within the given number of retries, otherwise False
-    """
-
-    for i in range(retries):
         try:
-            response = requests.get(url)
+            async with aiohttp.ClientSession() as session:
-
+                async with session.get(url) as response:
-            # If the response status code is 200, the server is up and running
+                    # If the response status code is 200, the server is up and running
-            if response.status_code == 200:
+                    if response.status == 200:
-                print(f"modal-comfy - API is reachable")
+                        print(f"comfy-modal - API is reachable")
-                return True
+                        return True
-        except requests.RequestException as e:
+        except Exception as e:
             # If an exception occurs, the server may not be ready
             pass
 
-        # print(f"runpod-worker-comfy - trying")
-
         # Wait for the specified delay before retrying
-        time.sleep(delay / 1000)
+        await asyncio.sleep(delay / 1000)
 
     print(
-        f"modal-comfy - Failed to connect to server at {url} after {retries} attempts."
+        f"comfy-modal - Failed to connect to server at {url} after {retries} attempts."
     )
     return False
 
 
-def check_status(prompt_id):
+async def check_status(prompt_id):
-    req = urllib.request.Request(
+    async with aiohttp.ClientSession() as session:
-        f"http://{COMFY_HOST}/comfyui-deploy/check-status?prompt_id={prompt_id}")
+        async with session.get(f"http://{COMFY_HOST}/comfyui-deploy/check-status?prompt_id={prompt_id}") as response:
-    return json.loads(urllib.request.urlopen(req).read())
+            return await response.json()
 
 
 class Input(BaseModel):
@@ -142,12 +130,12 @@ class Input(BaseModel):
     file_upload_endpoint: str
 
 
-def queue_workflow_comfy_deploy(data: Input):
+async def queue_workflow_comfy_deploy(data: Input):
     data_str = data.json()
     data_bytes = data_str.encode('utf-8')
-    req = urllib.request.Request(
+    async with aiohttp.ClientSession() as session:
-        f"http://{COMFY_HOST}/comfyui-deploy/run", data=data_bytes)
+        async with session.post(f"http://{COMFY_HOST}/comfyui-deploy/run", data=data_bytes) as response:
-    return json.loads(urllib.request.urlopen(req).read())
+            return await response.json()
 
 
 class RequestInput(BaseModel):
@@ -158,88 +146,227 @@ image = Image.debian_slim()
 
 target_image = image if deploy_test else dockerfile_image
 
-@stub.cls(image=target_image, gpu=config["gpu"] ,volumes=volumes, timeout=(config["run_timeout"] + 20), container_idle_timeout=config["idle_timeout"])
+run_timeout = config["run_timeout"]
+idle_timeout = config["idle_timeout"]
+
+import asyncio
+
+@stub.cls(
+    image=target_image, 
+    gpu=config["gpu"] ,
+    volumes=volumes, 
+    timeout=(config["run_timeout"] + 20), 
+    container_idle_timeout=config["idle_timeout"],
+    allow_concurrent_inputs=1,
+)
 class ComfyDeployRunner:
 
+    machine_logs = []
+
+    async def read_stream(self, stream, isStderr):
+        import time
+        while True:
+            try:
+                line = await stream.readline()
+                if line:
+                    l = line.decode('utf-8').strip()
+
+                    if l == "":
+                        continue
+
+                    if not isStderr:
+                        print(l, flush=True)
+                        self.machine_logs.append({
+                            "logs": l,
+                            "timestamp": time.time()
+                        })
+
+                    else:
+                        # is error
+                        # logger.error(l)
+                        print(l, flush=True)
+                        self.machine_logs.append({
+                            "logs": l,
+                            "timestamp": time.time()
+                        })
+                else:
+                    break
+            except asyncio.CancelledError:
+                # Handle the cancellation here if needed
+                break  # Break out of the loop on cancellation
+
     @enter()
-    def setup(self):
+    async def setup(self):
         import subprocess
         import time
+
         # Make sure that the ComfyUI API is available
         print(f"comfy-modal - check server")
 
-        command = ["python", "main.py",
+        self.server_process = await asyncio.subprocess.create_subprocess_shell(
-                "--disable-auto-launch", "--disable-metadata"]
+            f"python main.py --disable-auto-launch --disable-metadata",
-
+            stdout=asyncio.subprocess.PIPE,
-        self.server_process = subprocess.Popen(command, cwd="/comfyui")
+            stderr=asyncio.subprocess.PIPE,
-
+            cwd="/comfyui",
-        check_server(
+            # env={**os.environ, "COLUMNS": "10000"}
-            f"http://{COMFY_HOST}",
-            COMFY_API_AVAILABLE_MAX_RETRIES,
-            COMFY_API_AVAILABLE_INTERVAL_MS,
         )
 
     @exit()
-    def cleanup(self, exc_type, exc_value, traceback):
+    async def cleanup(self, exc_type, exc_value, traceback):
-        self.server_process.terminate()
+        print(f"comfy-modal - cleanup", exc_type, exc_value, traceback)
+        # Get the current event loop
+        loop = asyncio.get_event_loop()
+
+        # Check if the event loop is closed
+        if loop.is_closed():
+            print("The event loop is closed.")
+        else:
+            try:
+                self.server_process.terminate()
+                await self.server_process.wait()
+            except Exception as e:
+                print("Issues when cleaning up", e)
+            print("The event loop is open.")
 
     @method()
-    def run(self, input: Input):
+    async def run(self, input: Input):
+        import signal
         import time
-        data = json.dumps({
+        import aiohttp
-            "run_id": input.prompt_id,
-            "status": "started",
-            "time": datetime.now().isoformat()
-        }).encode('utf-8')
-        req = urllib.request.Request(input.status_endpoint, data=data, method='POST')
-        urllib.request.urlopen(req)
 
-        job_input = input
+        stdout_task = asyncio.create_task(
+            self.read_stream(self.server_process.stdout, False))
+        stderr_task = asyncio.create_task(
+            self.read_stream(self.server_process.stderr, True))
         
         try:
-            queued_workflow = queue_workflow_comfy_deploy(job_input)  # queue_workflow(workflow)
+            class TimeoutError(Exception):
-            prompt_id = queued_workflow["prompt_id"]
+                pass
-            print(f"comfy-modal - queued workflow with ID {prompt_id}")
-        except Exception as e:
-            import traceback
-            print(traceback.format_exc())
-            return {"error": f"Error queuing workflow: {str(e)}"}
 
-        # Poll for completion
+            def timeout_handler(signum, frame):
-        print(f"comfy-modal - wait until image generation is complete")
+                data = json.dumps({
-        retries = 0
+                    "run_id": input.prompt_id,
-        status = ""
+                    "status": "timeout",
-        try:
+                    "time": datetime.now().isoformat()
-            print("getting request")
+                }).encode('utf-8')
-            while retries < COMFY_POLLING_MAX_RETRIES:
+                req = urllib.request.Request(input.status_endpoint, data=data, method='POST')
-                status_result = check_status(prompt_id=prompt_id)
+                urllib.request.urlopen(req)
-                # history = get_history(prompt_id)
+                raise TimeoutError("Operation timed out")
             
-                # Exit the loop if we have found the history
+            signal.signal(signal.SIGALRM, timeout_handler)
-                # if prompt_id in history and history[prompt_id].get("outputs"):
-                #     break
 
-                # Exit the loop if we have found the status both success or failed
+            try:
-                if 'status' in status_result and (status_result['status'] == 'success' or status_result['status'] == 'failed'):
+                signal.alarm(run_timeout)  # 5 seconds timeout
-                    status = status_result['status']
-                    print(status)
-                    break
-                else:
-                    # Wait before trying again
-                    time.sleep(COMFY_POLLING_INTERVAL_MS / 1000)
-                    retries += 1
-            else:
-                return {"error": "Max retries reached while waiting for image generation"}
-        except Exception as e:
-            return {"error": f"Error waiting for image generation: {str(e)}"}
 
-        print(f"comfy-modal - Finished run")
+                ok = await check_server(
+                    f"http://{COMFY_HOST}",
+                    COMFY_API_AVAILABLE_MAX_RETRIES,
+                    COMFY_API_AVAILABLE_INTERVAL_MS,
+                )
 
-        result = {"status": status}
+                if not ok:
+                    raise Exception("ComfyUI API is not available")
+                # Set an alarm for some seconds in the future
+
+                data = json.dumps({
+                    "run_id": input.prompt_id,
+                    "status": "started",
+                    "time": datetime.now().isoformat()
+                }).encode('utf-8')
+                async with aiohttp.ClientSession() as session:
+                    async with session.post(input.status_endpoint, data=data) as response:
+                        pass
+
+                job_input = input
+
+                try:
+                    queued_workflow = await queue_workflow_comfy_deploy(job_input)  # queue_workflow(workflow)
+                    prompt_id = queued_workflow["prompt_id"]
+                    print(f"comfy-modal - queued workflow with ID {prompt_id}")
+                except Exception as e:
+                    import traceback
+                    print(traceback.format_exc())
+                    return {"error": f"Error queuing workflow: {str(e)}"}
+
+                # Poll for completion
+                print(f"comfy-modal - wait until image generation is complete")
+                retries = 0
+                status = ""
+                try:
+                    print("getting request")
+                    while retries < COMFY_POLLING_MAX_RETRIES:
+                        status_result = await check_status(prompt_id=prompt_id)
+                        if 'status' in status_result and (status_result['status'] == 'success' or status_result['status'] == 'failed'):
+                            status = status_result['status']
+                            print(status)
+                            break
+                        else:
+                            # Wait before trying again
+                            await asyncio.sleep(COMFY_POLLING_INTERVAL_MS / 1000)
+                            retries += 1
+                    else:
+                        return {"error": "Max retries reached while waiting for image generation"}
+                except Exception as e:
+                    return {"error": f"Error waiting for image generation: {str(e)}"}
+
+                print(f"comfy-modal - Finished, turning off")
+
+                result = {"status": status}
+
+            except TimeoutError:
+                print("Operation timed out")
+                return {"status": "failed"}
+            except Exception as e:
+                print(f"Unexpected error occurred: {str(e)}")
+                data = json.dumps({
+                    "run_id": input.prompt_id,
+                    "status": "failed",
+                    "time": datetime.now().isoformat()
+                }).encode('utf-8')
+                async with aiohttp.ClientSession() as session:
+                    async with session.post(input.status_endpoint, data=data) as response:
+                        print("response", response)
+                self.machine_logs.append({
+                    "logs": str(e),
+                    "timestamp": time.time()
+                })
+            finally:
+                signal.alarm(0)
+                
+            print("uploading log_data")
+            data = json.dumps({
+                "run_id": input.prompt_id,
+                "time": datetime.now().isoformat(),
+                "log_data": self.machine_logs
+            }).encode('utf-8')
+            print("my logs", len(self.machine_logs))
+            # Clear logs
+            timeout = aiohttp.ClientTimeout(total=60)  # 60 seconds total timeout
+            # Use HTTP/1.1 explicitly and increase the connection pool size
+            connector = TCPConnector(limit=100, force_close=True, enable_cleanup_closed=True)
+            
+            async with aiohttp.ClientSession(timeout=timeout, connector=connector) as session:
+                try:
+                    async with session.post(input.status_endpoint, data=data) as response:
+                        print("response", response)
+                        # Process your response here
+                except asyncio.TimeoutError:
+                    print("Request timed out")
+                except Exception as e:
+                    print(f"An error occurred: {e}")
+            print("uploaded log_data")
+            # print(data)
+            self.machine_logs = []
+        finally:
+            stdout_task.cancel()
+            stderr_task.cancel()
+            await stdout_task
+            await stderr_task
         
         return result
         
     
+
 @web_app.post("/run")
 async def post_run(request_input: RequestInput):
     if not deploy_test:
@@ -253,10 +380,12 @@ async def post_run(request_input: RequestInput):
         urllib.request.urlopen(req)
 
         model = ComfyDeployRunner()
-        call = model.run.spawn(request_input.input)
+        call = await model.run.spawn.aio(request_input.input)
+
+        print("call", call)
 
         # call = run.spawn()
-        return {"call_id": call.object_id}
+        return {"call_id": None}
     
     return {"call_id": None}
 

builder/modal-builder/src/template/data/snapshot.json

@@ -2,7 +2,7 @@
   "comfyui": "d0165d819afe76bd4e6bdd710eb5f3e571b6a804",
   "git_custom_nodes": {
     "https://github.com/BennyKok/comfyui-deploy.git": {
-      "hash": "a838cb7ad425e5652c3931fbafdc886b53c48a22",
+      "hash": "df46e3a0e5ad93fa71f5d216997e376af33b2a6d",
       "disabled": false
     }
   },