Local streaming

CHANGELOG.md

@@ -1,5 +1,14 @@
 # Change Log
 
+## Release 1.4.1 (12/13/23)
+
+### Added
+
+- Local test API server includes simulated endpoints that mimic the behavior of `run`, `runsync`, `stream`, and `status`.
+- Internal job tracker can be used to track job inputs.
+
+---
+
 ## Release 1.4.0 (12/4/23)
 
 ### Changed

examples/serverless/simple_handler.py

@@ -0,0 +1,17 @@
+""" Simple Handler
+
+To setup a local API server, run the following command:
+python simple_handler.py --rp_serve_api
+"""
+
+import runpod
+
+
+def handler(job):
+    """ Simple handler """
+    job_input = job["input"]
+
+    return f"Hello {job_input['name']}!"
+
+
+runpod.serverless.start({"handler": handler})

runpod/serverless/__init__.py

@@ -126,8 +126,7 @@ def start(config: Dict[str, Any]):
 
     if config["rp_args"]["rp_serve_api"]:
         print("Starting API server.")
-        api_server = rp_fastapi.WorkerAPI()
-        api_server.config = config
+        api_server = rp_fastapi.WorkerAPI(config)
 
         api_server.start_uvicorn(
             api_host=config['rp_args']['rp_api_host'],
@@ -137,8 +136,7 @@ def start(config: Dict[str, Any]):
 
     elif realtime_port:
         print("Starting API server for realtime.")
-        api_server = rp_fastapi.WorkerAPI()
-        api_server.config = config
+        api_server = rp_fastapi.WorkerAPI(config)
 
         api_server.start_uvicorn(
             api_host='0.0.0.0',

runpod/serverless/modules/rp_fastapi.py

@@ -2,11 +2,13 @@
 # pylint: disable=too-few-public-methods
 
 import os
-from typing import Union
+import uuid
+from typing import Union, Optional, Dict, Any
 
 import uvicorn
 from fastapi import FastAPI, APIRouter
 from fastapi.encoders import jsonable_encoder
+from fastapi.responses import RedirectResponse
 from pydantic import BaseModel
 
 from .rp_handler import is_generator
@@ -47,14 +49,39 @@ class TestJob(BaseModel):
     ''' Represents a test job.
     input can be any type of data.
     '''
-    id: str = "test_job"
-    input: Union[dict, list, str, int, float, bool]
+    id: Optional[str]
+    input: Optional[Union[dict, list, str, int, float, bool]]
+
+
+class DefaultInput(BaseModel):
+    """ Represents a test input. """
+    input: Dict[str, Any]
+
+
+# ------------------------------ Output Objects ------------------------------ #
+class JobOutput(BaseModel):
+    ''' Represents the output of a job. '''
+    id: str
+    status: str
+    output: Optional[Union[dict, list, str, int, float, bool]]
+    error: Optional[str]
+
+
+class StreamOutput(BaseModel):
+    """ Stream representation of a job. """
+    id: str
+    status: str = "IN_PROGRESS"
+    stream: Optional[Union[dict, list, str, int, float, bool]]
+    error: Optional[str]
 
 
+# ---------------------------------------------------------------------------- #
+#                                  API Worker                                  #
+# ---------------------------------------------------------------------------- #
 class WorkerAPI:
     ''' Used to launch the FastAPI web server when the worker is running in API mode. '''
 
-    def __init__(self, handler=None):
+    def __init__(self, config: Dict[str, Any]):
         '''
         Initializes the WorkerAPI class.
         1. Starts the heartbeat thread.
@@ -64,23 +91,50 @@ def __init__(self, handler=None):
         # Start the heartbeat thread.
         heartbeat.start_ping()
 
-        # Set the handler for processing jobs.
-        self.config = {"handler": handler}
+        self.config = config
 
         # Initialize the FastAPI web server.
         self.rp_app = FastAPI(
             title="RunPod | Test Worker | API",
             description=DESCRIPTION,
             version=runpod_version,
+            docs_url="/"
         )
 
         # Create an APIRouter and add the route for processing jobs.
         api_router = APIRouter()
 
-        if RUNPOD_ENDPOINT_ID:
-            api_router.add_api_route(f"/{RUNPOD_ENDPOINT_ID}/realtime", self._run, methods=["POST"])
+        # Docs Redirect /docs -> /
+        api_router.add_api_route(
+            "/docs", lambda: RedirectResponse(url="/"),
+            include_in_schema=False
+        )
 
-        api_router.add_api_route("/runsync", self._debug_run, methods=["POST"])
+        if RUNPOD_ENDPOINT_ID:
+            api_router.add_api_route(f"/{RUNPOD_ENDPOINT_ID}/realtime",
+                                     self._realtime, methods=["POST"])
+
+        # Simulation endpoints.
+        api_router.add_api_route(
+            "/run", self._sim_run, methods=["POST"], response_model_exclude_none=True,
+            summary="Simulate run behavior.",
+            description="Returns job ID to be used with `/stream` and `/status` endpoints."
+        )
+        api_router.add_api_route(
+            "/runsync", self._sim_runsync, methods=["POST"], response_model_exclude_none=True,
+            summary="Simulate runsync behavior.",
+            description="Returns job output directly when called."
+        )
+        api_router.add_api_route(
+            "/stream/{job_id}", self._sim_stream, methods=["POST"],
+            response_model_exclude_none=True, summary="Simulate stream behavior.",
+            description="Aggregates the output of the job and returns it when the job is complete."
+        )
+        api_router.add_api_route(
+            "/status/{job_id}", self._sim_status, methods=["POST"],
+            response_model_exclude_none=True, summary="Simulate status behavior.",
+            description="Returns the output of the job when the job is complete."
+        )
 
         # Include the APIRouter in the FastAPI application.
         self.rp_app.include_router(api_router)
@@ -96,47 +150,111 @@ def start_uvicorn(self, api_host='localhost', api_port=8000, api_concurrency=1):
             access_log=False
         )
 
-    async def _run(self, job: Job):
+    # ----------------------------- Realtime Endpoint ---------------------------- #
+    async def _realtime(self, job: Job):
         '''
         Performs model inference on the input data using the provided handler.
         If handler is not provided, returns an error message.
         '''
-        if self.config["handler"] is None:
-            return {"error": "Handler not provided"}
-
-        # Set the current job ID.
         job_list.add_job(job.id)
 
-        # Process the job using the provided handler.
+        # Process the job using the provided handler, passing in the job input.
         job_results = await run_job(self.config["handler"], job.__dict__)
 
-        # Reset the job ID.
         job_list.remove_job(job.id)
 
         # Return the results of the job processing.
         return jsonable_encoder(job_results)
 
-    async def _debug_run(self, job: TestJob):
-        '''
-        Performs model inference on the input data using the provided handler.
-        '''
-        if self.config["handler"] is None:
-            return {"error": "Handler not provided"}
+    # ---------------------------------------------------------------------------- #
+    #                             Simulation Endpoints                             #
+    # ---------------------------------------------------------------------------- #
 
-        # Set the current job ID.
-        job_list.add_job(job.id)
+    # ------------------------------------ run ----------------------------------- #
+    async def _sim_run(self, job_input: DefaultInput) -> JobOutput:
+        """ Development endpoint to simulate run behavior. """
+        assigned_job_id = f"test-{uuid.uuid4()}"
+        job_list.add_job(assigned_job_id, job_input.input)
+        return jsonable_encoder({"id": assigned_job_id, "status": "IN_PROGRESS"})
+
+    # ---------------------------------- runsync --------------------------------- #
+    async def _sim_runsync(self, job_input: DefaultInput) -> JobOutput:
+        """ Development endpoint to simulate runsync behavior. """
+        assigned_job_id = f"test-{uuid.uuid4()}"
+        job = TestJob(id=assigned_job_id, input=job_input.input)
 
         if is_generator(self.config["handler"]):
             generator_output = run_job_generator(self.config["handler"], job.__dict__)
-            job_results = {"output": []}
+            job_output = {"output": []}
             async for stream_output in generator_output:
-                job_results["output"].append(stream_output["output"])
+                job_output['output'].append(stream_output["output"])
         else:
-            job_results = await run_job(self.config["handler"], job.__dict__)
+            job_output = await run_job(self.config["handler"], job.__dict__)
+
+        return jsonable_encoder({
+            "id": job.id,
+            "status": "COMPLETED",
+            "output": job_output['output']
+        })
+
+    # ---------------------------------- stream ---------------------------------- #
+    async def _sim_stream(self, job_id: str) -> StreamOutput:
+        """ Development endpoint to simulate stream behavior. """
+        job_input = job_list.get_job_input(job_id)
+        if job_input is None:
+            return jsonable_encoder({
+                "id": job_id,
+                "status": "FAILED",
+                "error": "Job ID not found"
+            })
+
+        job = TestJob(id=job_id, input=job_input)
 
-        job_results["id"] = job.id
+        if is_generator(self.config["handler"]):
+            generator_output = run_job_generator(self.config["handler"], job.__dict__)
+            stream_accumulator = []
+            async for stream_output in generator_output:
+                stream_accumulator.append({"output": stream_output["output"]})
+        else:
+            return jsonable_encoder({
+                "id": job_id,
+                "status": "FAILED",
+                "error": "Stream not supported, handler must be a generator."
+            })
 
-        # Reset the job ID.
         job_list.remove_job(job.id)
 
-        return jsonable_encoder(job_results)
+        return jsonable_encoder({
+            "id": job_id,
+            "status": "COMPLETED",
+            "stream": stream_accumulator
+        })
+
+    # ---------------------------------- status ---------------------------------- #
+    async def _sim_status(self, job_id: str) -> JobOutput:
+        """ Development endpoint to simulate status behavior. """
+        job_input = job_list.get_job_input(job_id)
+        if job_input is None:
+            return jsonable_encoder({
+                "id": job_id,
+                "status": "FAILED",
+                "error": "Job ID not found"
+            })
+
+        job = TestJob(id=job_id, input=job_input)
+
+        if is_generator(self.config["handler"]):
+            generator_output = run_job_generator(self.config["handler"], job.__dict__)
+            job_output = {"output": []}
+            async for stream_output in generator_output:
+                job_output['output'].append(stream_output["output"])
+        else:
+            job_output = await run_job(self.config["handler"], job.__dict__)
+
+        job_list.remove_job(job.id)
+
+        return jsonable_encoder({
+            "id": job_id,
+            "status": "COMPLETED",
+            "output": job_output['output']
+        })

runpod/serverless/modules/rp_job.py

@@ -4,7 +4,7 @@
 # pylint: disable=too-many-branches
 
 import inspect
-from typing import Any, Callable, Dict, Generator, Optional, Union
+from typing import Any, Callable, Dict, Optional, Union, AsyncGenerator
 
 import os
 import json
@@ -179,9 +179,9 @@ async def run_job(handler: Callable, job: Dict[str, Any]) -> Dict[str, Any]:
 
 async def run_job_generator(
         handler: Callable,
-        job: Dict[str, Any]) -> Generator[Dict[str, Union[str, Any]], None, None]:
+        job: Dict[str, Any]) -> AsyncGenerator[Dict[str, Union[str, Any]], None]:
     '''
-    Run generator job.
+    Run generator job used to stream output.
     Yields output partials from the generator.
     '''
     try:

runpod/serverless/modules/worker_state.py

@@ -5,6 +5,7 @@
 import os
 import uuid
 import time
+from typing import Optional, Dict, Any, Union
 
 REF_COUNT_ZERO = time.perf_counter()  # Used for benchmarking with the debugger.
 
@@ -22,6 +23,25 @@ def get_auth_header():
     return {"Authorization": f"{os.environ.get('RUNPOD_AI_API_KEY')}"}
 
 
+# ------------------------------- Job Tracking ------------------------------- #
+class Job:
+    """ Represents a job. """
+
+    def __init__(self, job_id: str, job_input: Optional[Dict[str, Any]] = None) -> None:
+        self.job_id = job_id
+        self.job_input = job_input
+
+    def __eq__(self, other: object) -> bool:
+        if isinstance(other, Job):
+            return self.job_id == other.job_id
+        return False
+
+    def __hash__(self) -> int:
+        return hash(self.job_id)
+
+    def __str__(self) -> str:
+        return self.job_id
+
 
 class Jobs:
     ''' Track the state of current jobs.'''
@@ -35,23 +55,31 @@ def __new__(cls):
             Jobs._instance.jobs = set()
         return Jobs._instance
 
-    def add_job(self, job_id):
+    def add_job(self, job_id, job_input=None):
         '''
         Adds a job to the list of jobs.
         '''
-        self.jobs.add(job_id)
+        self.jobs.add(Job(job_id, job_input))
 
     def remove_job(self, job_id):
         '''
         Removes a job from the list of jobs.
         '''
-        self.jobs.remove(job_id)
+        self.jobs.remove(Job(job_id))
+
+    def get_job_input(self, job_id) -> Optional[Union[dict, list, str, int, float, bool]]:
+        '''
+        Returns the job with the given id.
+        Used within rp_fastapi.py for local testing.
+        '''
+        for job in self.jobs:
+            if job.job_id == job_id:
+                return job.job_input
+
+        return None
 
     def get_job_list(self):
         '''
         Returns the list of jobs as a string.
         '''
-        if len(self.jobs) == 0:
-            return None
-
-        return ','.join(list(self.jobs))
+        return ','.join(str(job) for job in self.jobs) if self.jobs else None