feast/sdk/python/feast/feature_server.py at swapyaml · feast-dev/feast · GitHub

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import sys

import threading

import time

import traceback

from contextlib import asynccontextmanager

from typing import Any, Dict, List, Optional

import pandas as pd

import psutil

from dateutil import parser

from fastapi import Depends, FastAPI, Request, Response, status

from fastapi.concurrency import run_in_threadpool

from fastapi.logger import logger

from fastapi.responses import JSONResponse

from google.protobuf.json_format import MessageToDict

from prometheus_client import Gauge, start_http_server

from pydantic import BaseModel

import feast

from feast import proto_json, utils

from feast.constants import DEFAULT_FEATURE_SERVER_REGISTRY_TTL

from feast.data_source import PushMode

from feast.errors import (

FeastError,

FeatureViewNotFoundException,

)

from feast.feast_object import FeastObject

from feast.permissions.action import WRITE, AuthzedAction

from feast.permissions.security_manager import assert_permissions

from feast.permissions.server.rest import inject_user_details

from feast.permissions.server.utils import (

ServerType,

init_auth_manager,

init_security_manager,

str_to_auth_manager_type,

)

# Define prometheus metrics

cpu_usage_gauge = Gauge(

"feast_feature_server_cpu_usage", "CPU usage of the Feast feature server"

)

memory_usage_gauge = Gauge(

"feast_feature_server_memory_usage", "Memory usage of the Feast feature server"

)

# TODO: deprecate this in favor of push features

class WriteToFeatureStoreRequest(BaseModel):

feature_view_name: str

df: dict

allow_registry_cache: bool = True

class PushFeaturesRequest(BaseModel):

push_source_name: str

df: dict

allow_registry_cache: bool = True

to: str = "online"

class MaterializeRequest(BaseModel):

start_ts: str

end_ts: str

feature_views: Optional[List[str]] = None

class MaterializeIncrementalRequest(BaseModel):

end_ts: str

feature_views: Optional[List[str]] = None

class GetOnlineFeaturesRequest(BaseModel):

entities: Dict[str, List[Any]]

feature_service: Optional[str] = None

features: Optional[List[str]] = None

full_feature_names: bool = False

def _get_features(request: GetOnlineFeaturesRequest, store: "feast.FeatureStore"):

if request.feature_service:

feature_service = store.get_feature_service(

request.feature_service, allow_cache=True

)

assert_permissions(

resource=feature_service, actions=[AuthzedAction.READ_ONLINE]

)

features = feature_service # type: ignore

else:

all_feature_views, all_on_demand_feature_views = (

utils._get_feature_views_to_use(

store.registry,

store.project,

request.features,

allow_cache=True,

hide_dummy_entity=False,

)

for feature_view in all_feature_views:

assert_permissions(

resource=feature_view, actions=[AuthzedAction.READ_ONLINE]

)

for od_feature_view in all_on_demand_feature_views:

assert_permissions(

resource=od_feature_view, actions=[AuthzedAction.READ_ONLINE]

)

features = request.features # type: ignore

return features

def get_app(

store: "feast.FeatureStore",

registry_ttl_sec: int = DEFAULT_FEATURE_SERVER_REGISTRY_TTL,

proto_json.patch()

# Asynchronously refresh registry, notifying shutdown and canceling the active timer if the app is shutting down

registry_proto = None

shutting_down = False

active_timer: Optional[threading.Timer] = None

def stop_refresh():

nonlocal shutting_down

shutting_down = True

if active_timer:

active_timer.cancel()

def async_refresh():

if shutting_down:

return

store.refresh_registry()

nonlocal registry_proto

registry_proto = store.registry.proto()

if registry_ttl_sec:

nonlocal active_timer

active_timer = threading.Timer(registry_ttl_sec, async_refresh)

active_timer.start()

@asynccontextmanager

async def lifespan(app: FastAPI):

await store.initialize()

async_refresh()

yield

stop_refresh()

await store.close()

app = FastAPI(lifespan=lifespan)

@app.post(

"/get-online-features",

dependencies=[Depends(inject_user_details)],

)

async def get_online_features(request: GetOnlineFeaturesRequest) -> Dict[str, Any]:

# Initialize parameters for FeatureStore.get_online_features(...) call

features = await run_in_threadpool(_get_features, request, store)

read_params = dict(

features=features,

entity_rows=request.entities,

full_feature_names=request.full_feature_names,

)

if store._get_provider().async_supported.online.read:

response = await store.get_online_features_async(**read_params) # type: ignore

else:

response = await run_in_threadpool(

lambda: store.get_online_features(**read_params) # type: ignore

)

# Convert the Protobuf object to JSON and return it

response_dict = await run_in_threadpool(

MessageToDict,

response.proto,

preserving_proto_field_name=True,

float_precision=18,

)

return response_dict

@app.post("/push", dependencies=[Depends(inject_user_details)])

async def push(request: PushFeaturesRequest) -> None:

df = pd.DataFrame(request.df)

actions = []

if request.to == "offline":

to = PushMode.OFFLINE

actions = [AuthzedAction.WRITE_OFFLINE]

elif request.to == "online":

to = PushMode.ONLINE

actions = [AuthzedAction.WRITE_ONLINE]

elif request.to == "online_and_offline":

to = PushMode.ONLINE_AND_OFFLINE

actions = WRITE

else:

raise ValueError(

f"{request.to} is not a supported push format. Please specify one of these ['online', 'offline', 'online_and_offline']."

)

from feast.data_source import PushSource

all_fvs = store.list_feature_views(

allow_cache=request.allow_registry_cache

) + store.list_stream_feature_views(allow_cache=request.allow_registry_cache)

fvs_with_push_sources = {

for fv in all_fvs

if (

fv.stream_source is not None

and isinstance(fv.stream_source, PushSource)

and fv.stream_source.name == request.push_source_name

)

}

for feature_view in fvs_with_push_sources:

assert_permissions(resource=feature_view, actions=actions)

push_params = dict(

push_source_name=request.push_source_name,

df=df,

allow_registry_cache=request.allow_registry_cache,

to=to,

)

should_push_async = (

store._get_provider().async_supported.online.write

and to in [PushMode.ONLINE, PushMode.ONLINE_AND_OFFLINE]

)

if should_push_async:

await store.push_async(**push_params)

else:

store.push(**push_params)

def _get_feast_object(

feature_view_name: str, allow_registry_cache: bool

) -> FeastObject:

try:

return store.get_stream_feature_view( # type: ignore

feature_view_name, allow_registry_cache=allow_registry_cache

)

except FeatureViewNotFoundException:

return store.get_feature_view( # type: ignore

feature_view_name, allow_registry_cache=allow_registry_cache

)

@app.post("/write-to-online-store", dependencies=[Depends(inject_user_details)])

def write_to_online_store(request: WriteToFeatureStoreRequest) -> None:

df = pd.DataFrame(request.df)

feature_view_name = request.feature_view_name

allow_registry_cache = request.allow_registry_cache

resource = _get_feast_object(feature_view_name, allow_registry_cache)

assert_permissions(resource=resource, actions=[AuthzedAction.WRITE_ONLINE])

store.write_to_online_store(

feature_view_name=feature_view_name,

df=df,

allow_registry_cache=allow_registry_cache,

)

@app.get("/health")

async def health():

return (

Response(status_code=status.HTTP_200_OK)

if registry_proto

else Response(status_code=status.HTTP_503_SERVICE_UNAVAILABLE)

)

@app.post("/materialize", dependencies=[Depends(inject_user_details)])

def materialize(request: MaterializeRequest) -> None:

for feature_view in request.feature_views or []:

assert_permissions(

resource=_get_feast_object(feature_view, True),

actions=[AuthzedAction.WRITE_ONLINE],

)

store.materialize(

utils.make_tzaware(parser.parse(request.start_ts)),

utils.make_tzaware(parser.parse(request.end_ts)),

request.feature_views,

)

@app.post("/materialize-incremental", dependencies=[Depends(inject_user_details)])

def materialize_incremental(request: MaterializeIncrementalRequest) -> None:

for feature_view in request.feature_views or []:

assert_permissions(

resource=_get_feast_object(feature_view, True),

actions=[AuthzedAction.WRITE_ONLINE],

)

store.materialize_incremental(

utils.make_tzaware(parser.parse(request.end_ts)), request.feature_views

)

@app.exception_handler(Exception)

async def rest_exception_handler(request: Request, exc: Exception):

# Print the original exception on the server side

logger.exception(traceback.format_exc())

if isinstance(exc, FeastError):

return JSONResponse(

status_code=exc.http_status_code(),

content=exc.to_error_detail(),

)

else:

return JSONResponse(

status_code=500,

content=str(exc),

)

return app

if sys.platform != "win32":

import gunicorn.app.base

class FeastServeApplication(gunicorn.app.base.BaseApplication):

def __init__(self, store: "feast.FeatureStore", **options):

self._app = get_app(

store=store,

registry_ttl_sec=options["registry_ttl_sec"],

)

self._options = options

super().__init__()

def load_config(self):

for key, value in self._options.items():

if key.lower() in self.cfg.settings and value is not None:

self.cfg.set(key.lower(), value)

self.cfg.set("worker_class", "uvicorn_worker.UvicornWorker")

def load(self):

return self._app

def monitor_resources(self, interval: int = 5):

"""Function to monitor and update CPU and memory usage metrics."""

logger.debug(f"Starting resource monitoring with interval {interval} seconds")

p = psutil.Process()

logger.debug(f"PID is {p.pid}")

while True:

with p.oneshot():

cpu_usage = p.cpu_percent()

memory_usage = p.memory_percent()

logger.debug(f"CPU usage: {cpu_usage}%, Memory usage: {memory_usage}%")

cpu_usage_gauge.set(cpu_usage)

memory_usage_gauge.set(memory_usage)

time.sleep(interval)

def start_server(

store: "feast.FeatureStore",

host: str,

port: int,

no_access_log: bool,

workers: int,

keep_alive_timeout: int,

registry_ttl_sec: int,

tls_key_path: str,

tls_cert_path: str,

metrics: bool,

if (tls_key_path and not tls_cert_path) or (not tls_key_path and tls_cert_path):

raise ValueError(

"Both key and cert file paths are required to start server in TLS mode."

)

if metrics:

logger.info("Starting Prometheus Server")

start_http_server(8000)

logger.debug("Starting background thread to monitor CPU and memory usage")

monitoring_thread = threading.Thread(

target=monitor_resources, args=(5,), daemon=True

)

monitoring_thread.start()

logger.debug("start_server called")

auth_type = str_to_auth_manager_type(store.config.auth_config.type)

logger.info(f"Auth type: {auth_type}")

init_security_manager(auth_type=auth_type, fs=store)

logger.debug("Security manager initialized successfully")

init_auth_manager(

auth_type=auth_type,

server_type=ServerType.REST,

auth_config=store.config.auth_config,

)

logger.debug("Auth manager initialized successfully")

if sys.platform != "win32":

options = {

"bind": f"{host}:{port}",

"accesslog": None if no_access_log else "-",

"workers": workers,

"keepalive": keep_alive_timeout,

"registry_ttl_sec": registry_ttl_sec,

}

# Add SSL options if the paths exist

if tls_key_path and tls_cert_path:

options["keyfile"] = tls_key_path

options["certfile"] = tls_cert_path

FeastServeApplication(store=store, **options).run()

else:

import uvicorn

app = get_app(store, registry_ttl_sec)

if tls_key_path and tls_cert_path:

uvicorn.run(

app,

host=host,

port=port,

access_log=(not no_access_log),

ssl_keyfile=tls_key_path,

ssl_certfile=tls_cert_path,

)

else:

uvicorn.run(app, host=host, port=port, access_log=(not no_access_log))

feast/sdk/python/feast/feature_server.py at swapyaml · feast-dev/feast · GitHub

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