SIENTIAPDE-1110

Enhance Gates and Redis activities by adding metadata parameter to apply_aggregation and notification methods. Refactor notification handling to use send_notification for improved consistency. Update tests to reflect changes in notification method calls and ensure proper functionality with new metadata integration.
This commit is contained in:
vitor-aignosi
2025-07-04 11:01:20 -03:00
parent d08d1b1337
commit 08240efc8b
6 changed files with 425 additions and 34 deletions

View File

@@ -16,7 +16,8 @@ quality_gate_filters = {
class Gates(BaseActivity):
def apply_aggregation(self, group: DataFrame, aggr_function: str) -> float | None | str:
def apply_aggregation(self, group: DataFrame, aggr_function: str,
metadata: dict[str, Any]) -> float | None | str:
"""
Apply aggregation function to a group of data.
@@ -48,7 +49,8 @@ class Gates(BaseActivity):
elif aggr_function == 'min':
return group['value'].min()
else:
self.notification_handler.build_and_send_notification(
self.send_notification(
metadata=metadata,
notification_id="AGGREGATION_ISSUES",
message=f"Invalid aggregation function: {aggr_function}",
block="aggregate_data",
@@ -100,7 +102,8 @@ class Gates(BaseActivity):
# Get the latest timestamp
latest_timestamp = group['timestamp'].max()
aggr_value = self.apply_aggregation(group, aggr_function)
aggr_value = self.apply_aggregation(
group, aggr_function, metadata)
if aggr_value == 'continue':
continue
@@ -145,7 +148,8 @@ class Gates(BaseActivity):
except Exception as e:
trace = traceback.format_exc()
self.notification_handler.build_and_send_notification(
self.send_notification(
metadata=metadata,
notification_id="AGGREGATION_ISSUES",
message=f"Error aggregating data: {e}",
block="aggregate_data",
@@ -202,7 +206,8 @@ class Gates(BaseActivity):
except Exception as e:
trace = traceback.format_exc()
self.notification_handler.build_and_send_notification(
self.send_notification(
metadata=metadata,
notification_id="DATA_QUALITY_GATE_ISSUES",
message=f"Error applying filter {filter_name}: {e}",
block="data_quality_gate",
@@ -219,7 +224,8 @@ class Gates(BaseActivity):
message = f"{len(filtered_data)} rows has quality issues: {filter_name}: {policy}"
attachment = filtered_data.to_string()
self.notification_handler.build_and_send_notification(
self.send_notification(
metadata=metadata,
notification_id=f"DATA_QUALITY_GATE_ISSUES__{filter_name}",
message=message,
block="data_quality_gate",

View File

@@ -1,8 +1,10 @@
import traceback
from temporalio import workflow, activity
with workflow.unsafe.imports_passed_through():
from logging import Logger
from sientia_do.notifications.handlers import NotificationHandler
from sientia_do.notifications.models import NotificationLevel
from sientia_do.temporal.activities.redis_base import Redis as RedisBase
from sientia_do.temporal.utils.logger import Logger
from typing import Any
@@ -26,7 +28,18 @@ class Redis(RedisBase):
metadata = input_data['metadata']
key = f"last_data_timestamp_{input_data['workflow_name']}_{input_data['schedule_name']}"
data_hold = self.get(key)
try:
data_hold = self.get(key)
except Exception as e:
self.send_notification(
metadata=metadata,
notification_id="REDIS_GET_ERROR",
message=f"Error getting last data timestamp: {e}",
block="get_last_data_timestamp",
level=NotificationLevel.ERROR,
attachment_content=traceback.format_exc()
)
raise e
self.debug(
f"Last collected timestamp: {data_hold}",
@@ -48,6 +61,12 @@ class Redis(RedisBase):
data = DataFrame(input_data['data'])
if data.empty:
self.warning("No data to insert",
metadata=metadata
)
return None
last_data_timestamp = data['inserted_at'].max()
self.debug(
@@ -55,7 +74,19 @@ class Redis(RedisBase):
metadata=metadata
)
self.set(key, last_data_timestamp, ttl=None)
try:
self.set(key, last_data_timestamp, ttl=None)
except Exception as e:
self.send_notification(
metadata=metadata,
notification_id="REDIS_SET_ERROR",
message=f"Error setting last data timestamp: {e}",
block="put_last_data_timestamp",
level=NotificationLevel.ERROR,
attachment_content=traceback.format_exc()
)
raise e
return last_data_timestamp
@@ -83,7 +114,18 @@ class Redis(RedisBase):
key = f"held_data_{input_data['workflow_name']}_{input_data['schedule_name']}"
data_hold = self.get(key)
try:
data_hold = self.get(key)
except Exception as e:
self.send_notification(
metadata=metadata,
notification_id="REDIS_GET_ERROR",
message=f"Error getting held data: {e}",
block="group_and_hold_data",
level=NotificationLevel.ERROR,
attachment_content=traceback.format_exc()
)
raise e
if not data_hold:
data_hold = {}
@@ -93,22 +135,33 @@ class Redis(RedisBase):
)
return data_hold
for _, row in data.iterrows():
value = row['value']
try:
for _, row in data.iterrows():
value = row['value']
data_hold[row['name']] = value
data_hold[row['name']] = value
data_hold['timestamp'] = data['timestamp'].max() if not data.empty else \
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
data_hold['timestamp'] = data['timestamp'].max() if not data.empty else \
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
self.set(key, data_hold, ttl=retention_time)
self.set(key, data_hold, ttl=retention_time)
data_hold_df = DataFrame(data_hold, index=[0])
data_hold_melted = data_hold_df.melt(
id_vars='timestamp', var_name='variable', value_name='value')
data_hold_melted['model_id'] = input_data['model_id']
data_hold_df = DataFrame(data_hold, index=[0])
data_hold_melted = data_hold_df.melt(
id_vars='timestamp', var_name='variable', value_name='value')
data_hold_melted['model_id'] = input_data['model_id']
data_hold_melted.reset_index(drop=True, inplace=True)
data_hold_melted.reset_index(drop=True, inplace=True)
except Exception as e:
self.send_notification(
metadata=metadata,
notification_id="REDIS_SET_ERROR",
message=f"Error setting held data: {e}",
block="group_and_hold_data",
level=NotificationLevel.ERROR,
attachment_content=traceback.format_exc()
)
raise e
self.debug(
f"Data grouped and held successfully:\n {data_hold_melted.to_string()}",