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import asyncio
import os
import sys
import threading
import time
import traceback
from contextlib import asynccontextmanager
from importlib import resources as importlib_resources
from typing import Any, Dict, List, Optional, Union
import pandas as pd
import psutil
from dateutil import parser
from fastapi import (
Depends,
FastAPI,
Request,
Response,
WebSocket,
WebSocketDisconnect,
status,
)
from fastapi.concurrency import run_in_threadpool
from fastapi.logger import logger
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
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
transform_on_write: bool = True
class PushFeaturesRequest(BaseModel):
push_source_name: str
df: dict
allow_registry_cache: bool = True
to: str = "online"
transform_on_write: bool = True
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: List[str] = []
full_feature_names: bool = False
class GetOnlineDocumentsRequest(BaseModel):
feature_service: Optional[str] = None
features: List[str] = []
full_feature_names: bool = False
top_k: Optional[int] = None
query: Optional[List[float]] = None
query_string: Optional[str] = None
api_version: Optional[int] = 1
class ChatMessage(BaseModel):
role: str
content: str
class ChatRequest(BaseModel):
messages: List[ChatMessage]
class ReadDocumentRequest(BaseModel):
file_path: str
class SaveDocumentRequest(BaseModel):
file_path: str
data: dict
def _get_features(
request: Union[GetOnlineFeaturesRequest, GetOnlineDocumentsRequest],
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,
):
"""
Creates a FastAPI app that can be used to start a feature server.
Args:
store: The FeatureStore to use for serving features
registry_ttl_sec: The TTL in seconds for the registry cache
Returns:
A FastAPI app
Example:
```python
from feast import FeatureStore
store = FeatureStore(repo_path="feature_repo")
app = get_app(store)
```
The app provides the following endpoints:
- `/get-online-features`: Get online features
- `/retrieve-online-documents`: Retrieve online documents
- `/push`: Push features to the feature store
- `/write-to-online-store`: Write to the online store
- `/health`: Health check
- `/materialize`: Materialize features
- `/materialize-incremental`: Materialize features incrementally
- `/chat`: Chat UI
- `/ws/chat`: WebSocket endpoint for chat
MCP Support:
- If MCP is enabled in feature server configuration, MCP endpoints will be added automatically
"""
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: GetOnlineDocumentsRequest,
) -> Dict[str, Any]:
logger.warning(
"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, query=request.query, top_k=request.top_k)
if request.api_version == 2 and request.query_string is not None:
read_params["query_string"] = request.query_string
if request.api_version == 2:
response = await run_in_threadpool(
lambda: store.retrieve_online_documents_v2(**read_params) # type: ignore
)
else:
response = await run_in_threadpool(
lambda: store.retrieve_online_documents(**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,
transform_on_write=request.transform_on_write,
)
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,
transform_on_write=request.transform_on_write,
)
@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("/chat")
async def chat(request: ChatRequest):
# Process the chat request
# For now, just return dummy text
return {"response": "This is a dummy response from the Feast feature server."}
@app.post("/read-document")
async def read_document_endpoint(request: ReadDocumentRequest):
try:
import os
if not os.path.exists(request.file_path):
return {"error": f"File not found: {request.file_path}"}
with open(request.file_path, "r", encoding="utf-8") as file:
content = file.read()
return {"content": content, "file_path": request.file_path}
except Exception as e:
return {"error": str(e)}
@app.post("/save-document")
async def save_document_endpoint(request: SaveDocumentRequest):
try:
import json
import os
from pathlib import Path
file_path = Path(request.file_path).resolve()
if not str(file_path).startswith(os.getcwd()):
return {"error": "Invalid file path"}
base_name = file_path.stem
labels_file = file_path.parent / f"{base_name}-labels.json"
with open(labels_file, "w", encoding="utf-8") as file:
json.dump(request.data, file, indent=2, ensure_ascii=False)
return {"success": True, "saved_to": str(labels_file)}
except Exception as e:
return {"error": str(e)}
@app.get("/chat")
async def chat_ui():
# Serve the chat UI
static_dir_ref = importlib_resources.files(__spec__.parent) / "static/chat" # type: ignore[name-defined, arg-type]
with importlib_resources.as_file(static_dir_ref) as static_dir:
with open(os.path.join(static_dir, "index.html")) as f:
content = f.read()
return Response(content=content, media_type="text/html")
@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),
)
# Chat WebSocket connection manager
class ConnectionManager:
def __init__(self):
self.active_connections: List[WebSocket] = []
async def connect(self, websocket: WebSocket):
await websocket.accept()
self.active_connections.append(websocket)
def disconnect(self, websocket: WebSocket):
self.active_connections.remove(websocket)
async def send_message(self, message: str, websocket: WebSocket):
await websocket.send_text(message)
manager = ConnectionManager()
@app.websocket("/ws/chat")
async def websocket_endpoint(websocket: WebSocket):
await manager.connect(websocket)
try:
while True:
message = await websocket.receive_text()
# Process the received message (currently unused but kept for future implementation)
# For now, just return dummy text
response = f"You sent: '{message}'. This is a dummy response from the Feast feature server."
# Stream the response word by word
words = response.split()
for word in words:
await manager.send_message(word + " ", websocket)
await asyncio.sleep(0.1) # Add a small delay between words
except WebSocketDisconnect:
manager.disconnect(websocket)
# Mount static files
static_dir_ref = importlib_resources.files(__spec__.parent) / "static" # type: ignore[name-defined, arg-type]
with importlib_resources.as_file(static_dir_ref) as static_dir:
app.mount("/static", StaticFiles(directory=static_dir), name="static")
# Add MCP support if enabled in feature server configuration
_add_mcp_support_if_enabled(app, store)
return app
def _add_mcp_support_if_enabled(app, store: "feast.FeatureStore"):
"""Add MCP support to the FastAPI app if enabled in configuration."""
try:
# Check if MCP is enabled in feature server config
if (
store.config.feature_server
and hasattr(store.config.feature_server, "type")
and store.config.feature_server.type == "mcp"
and getattr(store.config.feature_server, "mcp_enabled", False)
):
from feast.infra.mcp_servers.mcp_server import add_mcp_support_to_app
mcp_server = add_mcp_support_to_app(app, store, store.config.feature_server)
if mcp_server:
logger.info("MCP support has been enabled for the Feast feature server")
else:
logger.warning("MCP support was requested but could not be enabled")
else:
logger.debug("MCP support is not enabled in feature server configuration")
except Exception as e:
logger.error(f"Error checking/adding MCP support: {e}")
# Don't fail the entire server if MCP fails to initialize
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))