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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
query_embedding: Optional[List[float]] = None
query_string: Optional[str] = None
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(
"/retrieve-online-documents",
dependencies=[Depends(inject_user_details)],
)
async def retrieve_online_documents(
request: GetOnlineFeaturesRequest,
) -> Dict[str, Any]:
logger.warn(
"This endpoint is in alpha and will be moved to /get-online-features when stable."
)
# Initialize parameters for FeatureStore.retrieve_online_documents_v2(...) 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,
query=request.query_embedding,
query_string=request.query_string,
)
response = await run_in_threadpool(
lambda: store.retrieve_online_documents_v2(**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 = {
fv
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}%")
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))