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feast/sdk/python/feast/cli/monitor.py at master · cloud-orbitor/feast · GitHub
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cli
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monitor.py
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feast
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sdk
/
python
/
feast
/
cli
/
monitor.py
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from
datetime
import
date
from
typing
import
List
,
Optional
import
click
from
feast
.
infra
.
offline_stores
.
offline_store
import
OfflineStore
from
feast
.
repo_operations
import
create_feature_store
VALID_GRANULARITIES
=
OfflineStore
.
MONITORING_VALID_GRANULARITIES
@
click
.
group
(
name
=
"monitor"
)
def
monitor_cmd
():
"""Feature monitoring commands."""
pass
@
monitor_cmd
.
command
(
"run"
)
@
click
.
option
(
"--project"
,
"-p"
,
default
=
None
,
help
=
"Feast project name. Defaults to the project in feature_store.yaml."
,
)
@
click
.
option
(
"--feature-view"
,
"-v"
,
default
=
None
,
help
=
"Feature view name. If omitted, all feature views are computed."
,
)
@
click
.
option
(
"--feature-name"
,
"-f"
,
multiple
=
True
,
help
=
"Feature name(s) to compute. Can be specified multiple times."
,
)
@
click
.
option
(
"--start-date"
,
default
=
None
,
help
=
"Start date (YYYY-MM-DD). If omitted, auto-detected from source data."
,
)
@
click
.
option
(
"--end-date"
,
default
=
None
,
help
=
"End date (YYYY-MM-DD). If omitted, auto-detected from source data."
,
)
@
click
.
option
(
"--granularity"
,
"-g"
,
default
=
None
,
type
=
click
.
Choice
(
list
(
VALID_GRANULARITIES
)),
help
=
"Metric granularity. If omitted, all granularities are computed (auto mode)."
,
)
@
click
.
option
(
"--set-baseline"
,
is_flag
=
True
,
default
=
False
,
help
=
"Mark this computation as the baseline for drift detection."
,
)
@
click
.
option
(
"--feature-service"
,
"-s"
,
default
=
None
,
help
=
"Feature service name (required for --source-type log with explicit dates)."
,
)
@
click
.
option
(
"--source-type"
,
type
=
click
.
Choice
([
"batch"
,
"log"
,
"all"
]),
default
=
"batch"
,
help
=
"Data source type: 'batch' (offline store), 'log' (serving logs), or 'all'."
,
)
@
click
.
pass_context
def
monitor_run
(
ctx
:
click
.
Context
,
project
:
Optional
[
str
],
feature_view
:
Optional
[
str
],
feature_name
:
tuple
,
start_date
:
Optional
[
str
],
end_date
:
Optional
[
str
],
granularity
:
Optional
[
str
],
set_baseline
:
bool
,
feature_service
:
Optional
[
str
],
source_type
:
str
,
):
"""Compute feature quality metrics.
Without --start-date/--end-date/--granularity, runs in auto mode:
detects date ranges from source data and computes all granularities.
Use --source-type log to compute metrics from feature serving logs
(requires feature services with logging configured).
"""
store
=
create_feature_store
(
ctx
)
if
project
is
None
:
project
=
store
.
project
from
feast
.
monitoring
.
monitoring_service
import
MonitoringService
svc
=
MonitoringService
(
store
)
auto_mode
=
start_date
is
None
and
end_date
is
None
and
granularity
is
None
feat_names
:
Optional
[
List
[
str
]]
=
list
(
feature_name
)
if
feature_name
else
None
if
source_type
in
(
"batch"
,
"all"
):
_run_batch_monitoring
(
svc
,
project
,
feature_view
,
feat_names
,
start_date
,
end_date
,
granularity
,
set_baseline
,
auto_mode
,
)
if
source_type
in
(
"log"
,
"all"
):
_run_log_monitoring
(
svc
,
project
,
feature_service
,
start_date
,
end_date
,
granularity
,
auto_mode
,
)
def
_run_batch_monitoring
(
svc
,
project
,
feature_view
,
feat_names
,
start_date
,
end_date
,
granularity
,
set_baseline
,
auto_mode
,
):
if
auto_mode
and
set_baseline
and
not
start_date
and
not
end_date
:
click
.
echo
(
"Computing baseline from all available source data..."
)
result
=
svc
.
compute_baseline
(
project
=
project
,
feature_view_name
=
feature_view
,
feature_names
=
feat_names
,
)
click
.
echo
(
f"Status:
{
result
[
'status'
]
}
"
)
click
.
echo
(
f"Features computed:
{
result
[
'computed_features'
]
}
"
)
click
.
echo
(
f"Feature views computed:
{
result
[
'computed_feature_views'
]
}
"
)
click
.
echo
(
f"Duration:
{
result
[
'duration_ms'
]
}
ms"
)
click
.
echo
(
"Baseline: SET"
)
elif
auto_mode
and
not
set_baseline
:
click
.
echo
(
"Auto-computing batch metrics for all granularities..."
)
result
=
svc
.
auto_compute
(
project
=
project
,
feature_view_name
=
feature_view
,
)
click
.
echo
(
f"Status:
{
result
[
'status'
]
}
"
)
click
.
echo
(
f"Feature views computed:
{
result
[
'computed_feature_views'
]
}
"
)
click
.
echo
(
f"Features computed:
{
result
[
'computed_features'
]
}
"
)
click
.
echo
(
f"Granularities:
{
', '
.
join
(
result
[
'granularities'
])
}
"
)
click
.
echo
(
f"Duration:
{
result
[
'duration_ms'
]
}
ms"
)
else
:
start_d
=
date
.
fromisoformat
(
start_date
)
if
start_date
else
None
end_d
=
date
.
fromisoformat
(
end_date
)
if
end_date
else
None
result
=
svc
.
compute_metrics
(
project
=
project
,
feature_view_name
=
feature_view
,
feature_names
=
feat_names
,
start_date
=
start_d
,
end_date
=
end_d
,
granularity
=
granularity
or
"daily"
,
set_baseline
=
set_baseline
,
)
click
.
echo
(
f"Status:
{
result
[
'status'
]
}
"
)
click
.
echo
(
f"Granularity:
{
result
[
'granularity'
]
}
"
)
click
.
echo
(
f"Features computed:
{
result
[
'computed_features'
]
}
"
)
click
.
echo
(
f"Feature views computed:
{
result
[
'computed_feature_views'
]
}
"
)
click
.
echo
(
f"Feature services computed:
{
result
[
'computed_feature_services'
]
}
"
)
click
.
echo
(
f"Metric dates:
{
', '
.
join
(
result
[
'metric_dates'
])
}
"
)
click
.
echo
(
f"Duration:
{
result
[
'duration_ms'
]
}
ms"
)
if
set_baseline
:
click
.
echo
(
"Baseline: SET"
)
def
_run_log_monitoring
(
svc
,
project
,
feature_service_name
,
start_date
,
end_date
,
granularity
,
auto_mode
):
if
auto_mode
:
click
.
echo
(
"Auto-computing log metrics for all granularities..."
)
result
=
svc
.
auto_compute_log_metrics
(
project
=
project
,
feature_service_name
=
feature_service_name
,
)
click
.
echo
(
f"Status:
{
result
[
'status'
]
}
"
)
click
.
echo
(
f"Feature services computed:
{
result
[
'computed_feature_services'
]
}
"
)
click
.
echo
(
f"Features computed:
{
result
[
'computed_features'
]
}
"
)
click
.
echo
(
f"Granularities:
{
', '
.
join
(
result
[
'granularities'
])
}
"
)
click
.
echo
(
f"Duration:
{
result
[
'duration_ms'
]
}
ms"
)
else
:
if
not
feature_service_name
:
click
.
echo
(
"Error: --feature-service is required for log source with explicit dates."
)
return
start_d
=
date
.
fromisoformat
(
start_date
)
if
start_date
else
None
end_d
=
date
.
fromisoformat
(
end_date
)
if
end_date
else
None
result
=
svc
.
compute_log_metrics
(
project
=
project
,
feature_service_name
=
feature_service_name
,
start_date
=
start_d
,
end_date
=
end_d
,
granularity
=
granularity
or
"daily"
,
)
click
.
echo
(
f"Status:
{
result
[
'status'
]
}
"
)
click
.
echo
(
"Source: log"
)
click
.
echo
(
f"Features computed:
{
result
.
get
(
'computed_features'
,
0
)
}
"
)
click
.
echo
(
f"Duration:
{
result
[
'duration_ms'
]
}
ms"
)
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