mirror of
https://github.com/datahub-project/datahub.git
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132 lines
4.9 KiB
Python
132 lines
4.9 KiB
Python
# Copyright 2021 Acryl Data, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import datetime
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import json
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from time import time
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from typing import Dict
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import click
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from datahub_actions.action.action_stats import ActionStats
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from datahub_actions.pipeline.pipeline_util import get_transformer_name
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from datahub_actions.transform.transformer import Transformer
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from datahub_actions.transform.transformer_stats import TransformerStats
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# Class that stores running statistics for a single Actions Pipeline.
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class PipelineStats:
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# Timestamp in milliseconds when the pipeline was launched.
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started_at: int
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# Number of events that failed processing even after retry.
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failed_event_count: int = 0
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# Number of events that failed when "ack" was invoked.
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failed_ack_count: int = 0
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# Top-level number of succeeded processing executions.
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success_count: int = 0
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# Transformer Stats
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transformer_stats: Dict[str, TransformerStats] = {}
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# Action Stats
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action_stats: ActionStats = ActionStats()
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def mark_start(self) -> None:
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self.started_at = int(time() * 1000)
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def increment_failed_event_count(self) -> None:
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self.failed_event_count = self.failed_event_count + 1
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def increment_failed_ack_count(self) -> None:
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self.failed_ack_count = self.failed_ack_count + 1
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def increment_success_count(self) -> None:
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self.success_count = self.success_count + 1
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def increment_transformer_exception_count(self, transformer: Transformer) -> None:
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transformer_name = get_transformer_name(transformer)
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if transformer_name not in self.transformer_stats:
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self.transformer_stats[transformer_name] = TransformerStats()
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self.transformer_stats[transformer_name].increment_exception_count()
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def increment_transformer_processed_count(self, transformer: Transformer) -> None:
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transformer_name = get_transformer_name(transformer)
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if transformer_name not in self.transformer_stats:
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self.transformer_stats[transformer_name] = TransformerStats()
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self.transformer_stats[transformer_name].increment_processed_count()
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def increment_transformer_filtered_count(self, transformer: Transformer) -> None:
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transformer_name = get_transformer_name(transformer)
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if transformer_name not in self.transformer_stats:
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self.transformer_stats[transformer_name] = TransformerStats()
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self.transformer_stats[transformer_name].increment_filtered_count()
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def increment_action_exception_count(self) -> None:
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self.action_stats.increment_exception_count()
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def increment_action_success_count(self) -> None:
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self.action_stats.increment_success_count()
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def get_started_at(self) -> int:
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return self.started_at
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def get_failed_event_count(self) -> int:
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return self.failed_event_count
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def get_failed_ack_count(self) -> int:
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return self.failed_ack_count
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def get_success_count(self) -> int:
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return self.success_count
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def get_transformer_stats(self, transformer: Transformer) -> TransformerStats:
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transformer_name = get_transformer_name(transformer)
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if transformer_name not in self.transformer_stats:
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self.transformer_stats[transformer_name] = TransformerStats()
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return self.transformer_stats[transformer_name]
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def get_action_stats(self) -> ActionStats:
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return self.action_stats
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def as_string(self) -> str:
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return json.dumps(self.__dict__, indent=4, sort_keys=True)
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def pretty_print_summary(self, name: str) -> None:
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curr_time = int(time() * 1000)
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click.echo()
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click.secho(f"Pipeline Report for {name}", bold=True, fg="blue")
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click.echo()
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click.echo(
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f"Started at: {datetime.datetime.fromtimestamp(self.started_at / 1000.0)} (Local Time)"
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)
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click.echo(f"Duration: {(curr_time - self.started_at) / 1000.0}s")
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click.echo()
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click.secho("Pipeline statistics", bold=True)
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click.echo()
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click.echo(self.as_string())
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click.echo()
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if len(self.transformer_stats.keys()) > 0:
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click.secho("Transformer statistics", bold=True)
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for key in self.transformer_stats:
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click.echo()
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click.echo(f"{key}: {self.transformer_stats[key].as_string()}")
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click.echo()
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click.secho("Action statistics", bold=True)
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click.echo()
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click.echo(self.action_stats.as_string())
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click.echo()
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