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feast/sdk/python/feast/feature_server.py at master · Gwill/feast · GitHub
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# Copyright 2025 The Feast Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
asyncio
import
os
import
sys
import
threading
import
time
import
traceback
from
collections
import
defaultdict
from
contextlib
import
asynccontextmanager
from
datetime
import
datetime
from
importlib
import
resources
as
importlib_resources
from
types
import
SimpleNamespace
from
typing
import
Any
,
DefaultDict
,
Dict
,
List
,
NamedTuple
,
Optional
,
Set
,
Union
import
pandas
as
pd
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
pydantic
import
BaseModel
,
field_validator
import
feast
from
feast
import
metrics
as
feast_metrics
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
,
)
from
feast
.
feast_object
import
FeastObject
from
feast
.
feature_server_utils
import
convert_response_to_dict
from
feast
.
feature_view_utils
import
get_feature_view_from_feature_store
from
feast
.
permissions
.
action
import
WRITE
,
AuthzedAction
from
feast
.
permissions
.
security_manager
import
(
assert_permissions
,
get_security_manager
,
is_auth_necessary
,
)
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
,
)
# 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
:
Optional
[
str
]
=
None
end_ts
:
Optional
[
str
]
=
None
feature_views
:
Optional
[
List
[
str
]]
=
None
disable_event_timestamp
:
bool
=
False
full_feature_names
:
bool
=
False
class
MaterializeIncrementalRequest
(
BaseModel
):
end_ts
:
str
feature_views
:
Optional
[
List
[
str
]]
=
None
full_feature_names
:
bool
=
False
class
GetOnlineFeaturesRequest
(
BaseModel
):
entities
:
Dict
[
str
,
List
[
Any
]]
feature_service
:
Optional
[
str
]
=
None
features
:
List
[
str
]
=
[]
full_feature_names
:
bool
=
False
include_feature_view_version_metadata
:
bool
=
False
class
GetOnlineDocumentsRequest
(
BaseModel
):
feature_service
:
Optional
[
str
]
=
None
features
:
List
[
str
]
=
[]
full_feature_names
:
bool
=
False
include_feature_view_version_metadata
:
bool
=
False
top_k
:
Optional
[
int
]
=
None
query
:
Optional
[
List
[
float
]]
=
None
query_string
:
Optional
[
str
]
=
None
api_version
:
Optional
[
int
]
=
1
class
FeatureVectorResponse
(
BaseModel
):
values
:
List
[
Any
]
=
[]
statuses
:
List
[
str
]
=
[]
event_timestamps
:
List
[
str
]
=
[]
class
OnlineFeaturesMetadataResponse
(
BaseModel
):
feature_names
:
List
[
str
]
=
[]
@
field_validator
(
"feature_names"
,
mode
=
"before"
)
@
classmethod
def
_unwrap_feature_list
(
cls
,
v
:
Any
)
->
Any
:
"""Accept both the proto_json-patched flat list and the raw
protobuf ``{"val": [...]}`` dict produced by ``MessageToDict``
when the monkey-patch is absent or ineffective."""
if
isinstance
(
v
,
dict
)
and
"val"
in
v
:
return
v
[
"val"
]
return
v
class
OnlineFeaturesResponse
(
BaseModel
):
metadata
:
Optional
[
OnlineFeaturesMetadataResponse
]
=
None
results
:
List
[
FeatureVectorResponse
]
=
[]
status
:
Optional
[
bool
]
=
None
class
ChatMessage
(
BaseModel
):
role
:
str
content
:
str
class
ChatRequest
(
BaseModel
):
messages
:
List
[
ChatMessage
]
def
_parse_feature_info
(
features
:
Union
[
List
[
str
],
"feast.FeatureService"
],
)
->
tuple
:
"""Return ``(feature_view_names, feature_count)`` from resolved features.
``features`` is either a list of ``"feature_view:feature"`` strings or
a ``FeatureService`` with ``feature_view_projections``.
Returns:
(fv_names, feat_count) where fv_names is a list of unique feature
view name strings and feat_count is the total number of features.
"""
from
feast
.
feature_service
import
FeatureService
from
feast
.
utils
import
_parse_feature_ref
if
isinstance
(
features
,
FeatureService
):
projections
=
features
.
feature_view_projections
fv_names
=
[
p
.
name
for
p
in
projections
]
feat_count
=
sum
(
len
(
p
.
features
)
for
p
in
projections
)
elif
isinstance
(
features
,
list
):
feat_count
=
len
(
features
)
fv_names
=
list
({
_parse_feature_ref
(
ref
)[
0
]
for
ref
in
features
if
":"
in
ref
})
else
:
fv_names
=
[]
feat_count
=
0
return
fv_names
,
feat_count
def
_resolve_feature_counts
(
features
:
Union
[
List
[
str
],
"feast.FeatureService"
],
)
->
tuple
:
"""Return ``(feature_count_str, feature_view_count_str)`` for Prometheus labels."""
fv_names
,
feat_count
=
_parse_feature_info
(
features
)
return
str
(
feat_count
),
str
(
len
(
fv_names
))
def
_emit_online_audit
(
request
:
GetOnlineFeaturesRequest
,
features
:
Union
[
List
[
str
],
"feast.FeatureService"
],
entity_count
:
int
,
status
:
str
,
latency_ms
:
float
,
):
"""Best-effort audit log emission for online feature requests."""
try
:
from
feast
.
permissions
.
security_manager
import
get_security_manager
requestor_id
=
"anonymous"
sm
=
get_security_manager
()
if
sm
and
sm
.
current_user
:
requestor_id
=
sm
.
current_user
.
username
or
"anonymous"
fv_names
,
feat_count
=
_parse_feature_info
(
features
)
feast_metrics
.
emit_online_audit_log
(
requestor_id
=
requestor_id
,
entity_keys
=
list
(
request
.
entities
.
keys
()),
entity_count
=
entity_count
,
feature_views
=
fv_names
,
feature_count
=
feat_count
,
status
=
status
,
latency_ms
=
latency_ms
,
)
except
Exception
:
logger
.
warning
(
"Failed to emit online audit log"
,
exc_info
=
True
)
async
def
_get_features
(
request
:
Union
[
GetOnlineFeaturesRequest
,
GetOnlineDocumentsRequest
],
store
:
"feast.FeatureStore"
,
):
if
request
.
feature_service
:
feature_service
=
await
run_in_threadpool
(
store
.
get_feature_service
,
request
.
feature_service
,
allow_cache
=
True
)
assert_permissions
(
resource
=
feature_service
,
actions
=
[
AuthzedAction
.
READ_ONLINE
]
)
features
=
feature_service
# type: ignore
elif
is_auth_necessary
(
get_security_manager
()):
all_feature_views
,
all_on_demand_feature_views
=
await
run_in_threadpool
(
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
else
:
features
=
request
.
features
# type: ignore
return
features
async
def
load_static_artifacts
(
app
:
FastAPI
,
store
):
"""
Load static artifacts (models, lookup tables, etc.) into app.state.
This function can be extended to load various types of static artifacts:
- Small ML models (scikit-learn, small neural networks)
- Lookup tables and reference data
- Configuration parameters
- Pre-computed embeddings
Note: Not recommended for large language models - use dedicated
model serving solutions (vLLM, TGI, etc.) for those.
"""
try
:
# Import here to avoid loading heavy dependencies unless needed
import
importlib
.
util
import
inspect
from
pathlib
import
Path
# Look for static artifacts loading in the feature repository
# This allows templates and users to define their own artifact loading
repo_path
=
Path
(
store
.
repo_path
)
if
store
.
repo_path
else
Path
.
cwd
()
artifacts_file
=
repo_path
/
"static_artifacts.py"
if
artifacts_file
.
exists
():
# Load and execute custom static artifacts loading
spec
=
importlib
.
util
.
spec_from_file_location
(
"static_artifacts"
,
artifacts_file
)
if
spec
and
spec
.
loader
:
artifacts_module
=
importlib
.
util
.
module_from_spec
(
spec
)
spec
.
loader
.
exec_module
(
artifacts_module
)
# Look for load_artifacts function
if
hasattr
(
artifacts_module
,
"load_artifacts"
):
load_func
=
artifacts_module
.
load_artifacts
if
inspect
.
iscoroutinefunction
(
load_func
):
await
load_func
(
app
)
else
:
load_func
(
app
)
logger
.
info
(
"Loaded static artifacts from static_artifacts.py"
)
except
Exception
as
e
:
# Non-fatal error - feature server should still start
logger
.
warning
(
f"Failed to load static artifacts:
{
e
}
"
)
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
shutting_down
=
False
active_timer
:
Optional
[
threading
.
Timer
]
=
None
# --- Offline write batching config and batcher ---
fs_cfg
=
getattr
(
store
.
config
,
"feature_server"
,
None
)
batching_cfg
=
None
if
fs_cfg
is
not
None
:
enabled
=
getattr
(
fs_cfg
,
"offline_push_batching_enabled"
,
False
)
batch_size
=
getattr
(
fs_cfg
,
"offline_push_batching_batch_size"
,
None
)
batch_interval_seconds
=
getattr
(
fs_cfg
,
"offline_push_batching_batch_interval_seconds"
,
None
)
if
enabled
is
True
:
size_ok
=
isinstance
(
batch_size
,
int
)
and
not
isinstance
(
batch_size
,
bool
)
interval_ok
=
isinstance
(
batch_interval_seconds
,
int
)
and
not
isinstance
(
batch_interval_seconds
,
bool
)
if
size_ok
and
interval_ok
:
batching_cfg
=
SimpleNamespace
(
enabled
=
True
,
batch_size
=
batch_size
,
batch_interval_seconds
=
batch_interval_seconds
,
)
else
:
logger
.
warning
(
"Offline write batching enabled but missing or invalid numeric values; "
"disabling batching (batch_size=%r, batch_interval_seconds=%r)"
,
batch_size
,
batch_interval_seconds
,
)
offline_batcher
:
Optional
[
OfflineWriteBatcher
]
=
None
if
batching_cfg
is
not
None
and
batching_cfg
.
enabled
is
True
:
offline_batcher
=
OfflineWriteBatcher
(
store
=
store
,
cfg
=
batching_cfg
)
logger
.
debug
(
"Offline write batching is ENABLED"
)
else
:
logger
.
debug
(
"Offline write batching is DISABLED"
)
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
()
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
):
# Load static artifacts before initializing store
await
load_static_artifacts
(
app
,
store
)
await
store
.
initialize
()
async_refresh
()
try
:
yield
finally
:
stop_refresh
()
if
offline_batcher
is
not
None
:
offline_batcher
.
shutdown
()
await
store
.
close
()
app
=
FastAPI
(
lifespan
=
lifespan
)
@
app
.
post
(
"/get-online-features"
,
dependencies
=
[
Depends
(
inject_user_details
)],
response_model
=
OnlineFeaturesResponse
,
)
async
def
get_online_features
(
request
:
GetOnlineFeaturesRequest
)
->
Any
:
with
feast_metrics
.
track_request_latency
(
"/get-online-features"
,
)
as
metrics_ctx
:
features
=
await
_get_features
(
request
,
store
)
feat_count
,
fv_count
=
_resolve_feature_counts
(
features
)
metrics_ctx
.
feature_count
=
feat_count
metrics_ctx
.
feature_view_count
=
fv_count
entity_count
=
len
(
next
(
iter
(
request
.
entities
.
values
()), []))
feast_metrics
.
track_online_features_entities
(
entity_count
)
read_params
=
dict
(
features
=
features
,
entity_rows
=
request
.
entities
,
full_feature_names
=
request
.
full_feature_names
,
include_feature_view_version_metadata
=
request
.
include_feature_view_version_metadata
,
)
audit_start_ms
=
time
.
monotonic
()
*
1000
audit_status
=
"success"
try
:
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
)
except
Exception
:
audit_status
=
"error"
raise
finally
:
audit_latency_ms
=
time
.
monotonic
()
*
1000
-
audit_start_ms
_emit_online_audit
(
request
,
features
,
entity_count
,
audit_status
,
audit_latency_ms
)
response_dict
=
await
run_in_threadpool
(
convert_response_to_dict
,
response
.
proto
)
return
JSONResponse
(
content
=
response_dict
)
@
app
.
post
(
"/retrieve-online-documents"
,
dependencies
=
[
Depends
(
inject_user_details
)],
response_model
=
OnlineFeaturesResponse
,
)
async
def
retrieve_online_documents
(
request
:
GetOnlineDocumentsRequest
,
)
->
Any
:
with
feast_metrics
.
track_request_latency
(
"/retrieve-online-documents"
):
logger
.
warning
(
"This endpoint is in alpha and will be moved to /get-online-features when stable."
)
features
=
await
_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
:
read_params
[
"include_feature_view_version_metadata"
]
=
(
request
.
include_feature_view_version_metadata
)
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
)
response_dict
=
await
run_in_threadpool
(
convert_response_to_dict
,
response
.
proto
)
return
JSONResponse
(
content
=
response_dict
)
@
app
.
post
(
"/push"
,
dependencies
=
[
Depends
(
inject_user_details
)])
async
def
push
(
request
:
PushFeaturesRequest
)
->
Response
:
with
feast_metrics
.
track_request_latency
(
"/push"
):
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
)
async
def
_push_with_to
(
push_to
:
PushMode
)
->
None
:
"""
Helper for performing a single push operation.
NOTE:
- Feast providers **do not currently support async offline writes**.
- Therefore:
* ONLINE and ONLINE_AND_OFFLINE → may be async, depending on provider.async_supported.online.write
* OFFLINE → always synchronous, but executed via run_in_threadpool when called from HTTP handlers.
- The OfflineWriteBatcher handles offline writes directly in its own background thread, but the offline store writes are currently synchronous only.
"""
push_source_name
=
request
.
push_source_name
allow_registry_cache
=
request
.
allow_registry_cache
transform_on_write
=
request
.
transform_on_write
# Async currently only applies to online store writes (ONLINE / ONLINE_AND_OFFLINE paths) as theres no async for offline store
if
push_to
in
(
PushMode
.
ONLINE
,
PushMode
.
ONLINE_AND_OFFLINE
)
and
(
store
.
_get_provider
().
async_supported
.
online
.
write
):
await
store
.
push_async
(
push_source_name
=
push_source_name
,
df
=
df
,
allow_registry_cache
=
allow_registry_cache
,
to
=
push_to
,
transform_on_write
=
transform_on_write
,
)
else
:
await
run_in_threadpool
(
lambda
:
store
.
push
(
push_source_name
=
push_source_name
,
df
=
df
,
allow_registry_cache
=
allow_registry_cache
,
to
=
push_to
,
transform_on_write
=
transform_on_write
,
)
)
needs_online
=
to
in
(
PushMode
.
ONLINE
,
PushMode
.
ONLINE_AND_OFFLINE
)
needs_offline
=
to
in
(
PushMode
.
OFFLINE
,
PushMode
.
ONLINE_AND_OFFLINE
)
status_code
=
status
.
HTTP_200_OK
if
offline_batcher
is
None
or
not
needs_offline
:
await
_push_with_to
(
to
)
else
:
if
needs_online
:
await
_push_with_to
(
PushMode
.
ONLINE
)
offline_batcher
.
enqueue
(
push_source_name
=
request
.
push_source_name
,
df
=
df
,
allow_registry_cache
=
request
.
allow_registry_cache
,
transform_on_write
=
request
.
transform_on_write
,
)
status_code
=
status
.
HTTP_202_ACCEPTED
feast_metrics
.
track_push
(
request
.
push_source_name
,
request
.
to
)
return
Response
(
status_code
=
status_code
)
async
def
_get_feast_object
(
feature_view_name
:
str
,
allow_registry_cache
:
bool
)
->
FeastObject
:
return
await
run_in_threadpool
(
get_feature_view_from_feature_store
,
store
,
feature_view_name
,
allow_registry_cache
,
)
@
app
.
post
(
"/write-to-online-store"
,
dependencies
=
[
Depends
(
inject_user_details
)])
async
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
=
await
_get_feast_object
(
feature_view_name
,
allow_registry_cache
)
assert_permissions
(
resource
=
resource
,
actions
=
[
AuthzedAction
.
WRITE_ONLINE
])
await
run_in_threadpool
(
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
():
try
:
store
.
registry
.
list_projects
(
allow_cache
=
True
)
return
Response
(
status_code
=
status
.
HTTP_200_OK
)
except
Exception
:
return
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
.
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
)])
async
def
materialize
(
request
:
MaterializeRequest
)
->
None
:
with
feast_metrics
.
track_request_latency
(
"/materialize"
):
if
request
.
feature_views
:
for
feature_view
in
request
.
feature_views
:
resource
=
await
_get_feast_object
(
feature_view
,
True
)
assert_permissions
(
resource
=
resource
,
actions
=
[
AuthzedAction
.
WRITE_ONLINE
],
)
else
:
feature_views_to_materialize
=
store
.
_get_feature_views_to_materialize
(
None
)
for
fv
in
feature_views_to_materialize
:
assert_permissions
(
resource
=
fv
,
actions
=
[
AuthzedAction
.
WRITE_ONLINE
],
)
if
request
.
disable_event_timestamp
:
now
=
datetime
.
now
()
start_date
=
datetime
(
1970
,
1
,
1
)
end_date
=
now
else
:
if
not
request
.
start_ts
or
not
request
.
end_ts
:
raise
ValueError
(
"start_ts and end_ts are required when disable_event_timestamp is False"
)
start_date
=
utils
.
make_tzaware
(
parser
.
parse
(
request
.
start_ts
))
end_date
=
utils
.
make_tzaware
(
parser
.
parse
(
request
.
end_ts
))
await
run_in_threadpool
(
store
.
materialize
,
start_date
,
end_date
,
request
.
feature_views
,
disable_event_timestamp
=
request
.
disable_event_timestamp
,
full_feature_names
=
request
.
full_feature_names
,
)
@
app
.
post
(
"/materialize-incremental"
,
dependencies
=
[
Depends
(
inject_user_details
)])
async
def
materialize_incremental
(
request
:
MaterializeIncrementalRequest
)
->
None
:
with
feast_metrics
.
track_request_latency
(
"/materialize-incremental"
):
if
request
.
feature_views
:
for
feature_view
in
request
.
feature_views
:
resource
=
await
_get_feast_object
(
feature_view
,
True
)
assert_permissions
(
resource
=
resource
,
actions
=
[
AuthzedAction
.
WRITE_ONLINE
],
)
else
:
feature_views_to_materialize
=
store
.
_get_feature_views_to_materialize
(
None
)
for
fv
in
feature_views_to_materialize
:
assert_permissions
(
resource
=
fv
,
actions
=
[
AuthzedAction
.
WRITE_ONLINE
],
)
await
run_in_threadpool
(
store
.
materialize_incremental
,
utils
.
make_tzaware
(
parser
.
parse
(
request
.
end_ts
)),
request
.
feature_views
,
full_feature_names
=
request
.
full_feature_names
,
)
@
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
()
MAX_WS_CONNECTIONS
=
5
MAX_MESSAGE_SIZE
=
4096
MAX_MESSAGES_PER_MINUTE
=
60
WS_READ_TIMEOUT_SEC
=
60
@
app
.
websocket
(
"/ws/chat"
)
async
def
websocket_endpoint
(
websocket
:
WebSocket
):
if
len
(
manager
.
active_connections
)
>=
MAX_WS_CONNECTIONS
:
await
websocket
.
close
(
code
=
status
.
WS_1008_POLICY_VIOLATION
)
return
await
manager
.
connect
(
websocket
)
message_timestamps
:
List
[
float
]
=
[]
try
:
while
True
:
try
:
message
=
await
asyncio
.
wait_for
(
websocket
.
receive_text
(),
timeout
=
WS_READ_TIMEOUT_SEC
)
except
asyncio
.
TimeoutError
:
await
websocket
.
close
(
code
=
status
.
WS_1001_GOING_AWAY
)
return
if
len
(
message
)
>
MAX_MESSAGE_SIZE
:
await
websocket
.
close
(
code
=
status
.
WS_1009_MESSAGE_TOO_BIG
)
return
now
=
time
.
time
()
cutoff
=
now
-
60
message_timestamps
=
[
ts
for
ts
in
message_timestamps
if
ts
>=
cutoff
]
if
len
(
message_timestamps
)
>=
MAX_MESSAGES_PER_MINUTE
:
await
websocket
.
close
(
code
=
status
.
WS_1008_POLICY_VIOLATION
)
return
message_timestamps
.
append
(
now
)
# 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."""
mcp_transport_not_supported_error
=
None
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
)
):
try
:
from
feast
.
infra
.
mcp_servers
.
mcp_server
import
(
McpTransportNotSupportedError
,
add_mcp_support_to_app
,
)
mcp_transport_not_supported_error
=
McpTransportNotSupportedError
except
ImportError
as
e
:
logger
.
error
(
f"Error checking/adding MCP support:
{
e
}
"
)
return
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
:
if
mcp_transport_not_supported_error
and
isinstance
(
e
,
mcp_transport_not_supported_error
):
raise
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"
,
metrics_enabled
:
bool
=
False
,
**
options
):
self
.
_app
=
get_app
(
store
=
store
,
registry_ttl_sec
=
options
[
"registry_ttl_sec"
],
)
self
.
_options
=
options
self
.
_metrics_enabled
=
metrics_enabled
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"
)
if
self
.
_metrics_enabled
:
self
.
cfg
.
set
(
"post_worker_init"
,
_gunicorn_post_worker_init
)
self
.
cfg
.
set
(
"child_exit"
,
_gunicorn_child_exit
)
def
load
(
self
):
return
self
.
_app
def
_gunicorn_post_worker_init
(
worker
):
"""Start per-worker resource monitoring after Gunicorn forks."""
feast_metrics
.
init_worker_monitoring
()
def
_gunicorn_child_exit
(
server
,
worker
):
"""Clean up Prometheus metric files for a dead worker."""
feast_metrics
.
mark_process_dead
(
worker
.
pid
)
def
start_server
(
store
:
"feast.FeatureStore"
,
host
:
str
,
port
:
int
,
no_access_log
:
bool
,
workers
:
int
,
worker_connections
:
int
,
max_requests
:
int
,
max_requests_jitter
:
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."
)
fs_cfg
=
getattr
(
store
.
config
,
"feature_server"
,
None
)
metrics_cfg
=
getattr
(
fs_cfg
,
"metrics"
,
None
)
metrics_from_config
=
getattr
(
metrics_cfg
,
"enabled"
,
False
)
metrics_active
=
metrics
or
metrics_from_config
uses_gunicorn
=
sys
.
platform
!=
"win32"
if
metrics_active
:
flags
=
feast_metrics
.
build_metrics_flags
(
metrics_cfg
)
feast_metrics
.
start_metrics_server
(
store
,
metrics_config
=
flags
,
start_resource_monitoring
=
not
uses_gunicorn
,
)
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
uses_gunicorn
:
options
=
{
"bind"
:
f"
{
host
}
:
{
port
}
"
,
"accesslog"
:
None
if
no_access_log
else
"-"
,
"workers"
:
workers
,
"worker_connections"
:
worker_connections
,
"max_requests"
:
max_requests
,
"max_requests_jitter"
:
max_requests_jitter
,
"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
,
metrics_enabled
=
metrics_active
,
**
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
))
class
_OfflineBatchKey
(
NamedTuple
):
push_source_name
:
str
allow_registry_cache
:
bool
transform_on_write
:
bool
class
OfflineWriteBatcher
:
"""
In-process offline write batcher for /push requests.
- Buffers DataFrames per (push_source_name, allow_registry_cache, transform_on_write)
- Flushes when either:
* total rows in a buffer >= batch_size, or
* time since last flush >= batch_interval_seconds
- Flush runs in a dedicated background thread so the HTTP event loop stays unblocked.
"""
def
__init__
(
self
,
store
:
"feast.FeatureStore"
,
cfg
:
Any
):
self
.
_store
=
store
self
.
_cfg
=
cfg
# Buffers and timestamps keyed by batch key
self
.
_buffers
:
DefaultDict
[
_OfflineBatchKey
,
List
[
pd
.
DataFrame
]]
=
defaultdict
(
list
)
self
.
_last_flush
:
DefaultDict
[
_OfflineBatchKey
,
float
]
=
defaultdict
(
time
.
time
)
self
.
_inflight
:
Set
[
_OfflineBatchKey
]
=
set
()
self
.
_lock
=
threading
.
Lock
()
self
.
_stop_event
=
threading
.
Event
()
# Start background flusher thread
self
.
_thread
=
threading
.
Thread
(
target
=
self
.
_run
,
name
=
"offline_write_batcher"
,
daemon
=
True
)
self
.
_thread
.
start
()
logger
.
debug
(
"OfflineWriteBatcher initialized: batch_size=%s, batch_interval_seconds=%s"
,
getattr
(
cfg
,
"batch_size"
,
None
),
getattr
(
cfg
,
"batch_interval_seconds"
,
None
),
)
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