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stats.py
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152 lines (127 loc) · 5.13 KB
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from typing import Mapping, Any, Optional, List
from feldera.enums import PipelineStatus, TransactionStatus
from datetime import datetime
import uuid
class PipelineStatistics:
"""
Represents statistics reported by a pipeline's "/stats" endpoint.
"""
def __init__(self):
"""
Initializes as an empty set of statistics.
"""
self.global_metrics: GlobalPipelineMetrics = GlobalPipelineMetrics()
self.suspend_error: Optional[Any] = None
self.inputs: Mapping[List[InputEndpointStatus]] = {}
self.outputs: Mapping[List[OutputEndpointStatus]] = {}
@classmethod
def from_dict(cls, d: Mapping[str, Any]):
pipeline = cls()
pipeline.global_metrics = GlobalPipelineMetrics.from_dict(d["global_metrics"])
pipeline.inputs = [
InputEndpointStatus.from_dict(input) for input in d["inputs"]
]
pipeline.outputs = [
OutputEndpointStatus.from_dict(output) for output in d["outputs"]
]
return pipeline
class GlobalPipelineMetrics:
"""Represents the "global_metrics" object within the pipeline's
"/stats" endpoint reply.
"""
def __init__(self):
"""
Initializes as an empty set of metrics.
"""
self.state: Optional[PipelineStatus] = None
self.bootstrap_in_progress: Optional[bool] = None
self.rss_bytes: Optional[int] = None
self.cpu_msecs: Optional[int] = None
self.start_time: Optional[datetime] = None
self.incarnation_uuid: Optional[uuid.UUID] = None
self.storage_bytes: Optional[int] = None
self.storage_mb_secs: Optional[int] = None
self.runtime_elapsed_msecs: Optional[int] = None
self.buffered_input_records: Optional[int] = None
self.total_input_records: Optional[int] = None
self.total_processed_records: Optional[int] = None
self.total_completed_records: Optional[int] = None
self.pipeline_complete: Optional[bool] = None
self.transaction_status: Optional[TransactionStatus] = None
self.transaction_id: Optional[int] = None
@classmethod
def from_dict(cls, d: Mapping[str, Any]):
metrics = cls()
metrics.__dict__.update(d)
metrics.state = PipelineStatus.from_str(d["state"])
metrics.incarnation_uuid = uuid.UUID(d["incarnation_uuid"])
metrics.start_time = datetime.fromtimestamp(d["start_time"])
metrics.transaction_status = TransactionStatus.from_str(d["transaction_status"])
return metrics
class InputEndpointStatus:
"""Represents one member of the "inputs" array within the
pipeline's "/stats" endpoint reply.
"""
def __init__(self):
"""Initializes an empty status."""
self.endpoint_name: Optional[str] = None
self.config: Optional[Mapping] = None
self.metrics: Optional[InputEndpointMetrics] = None
self.fatal_error: Optional[str] = None
self.paused: Optional[bool] = None
self.barrier: Optional[bool] = None
@classmethod
def from_dict(cls, d: Mapping[str, Any]):
status = cls()
status.__dict__.update(d)
status.metrics = InputEndpointMetrics.from_dict(d["metrics"])
return status
class InputEndpointMetrics:
"""Represents the "metrics" member within an input endpoint status
in the pipeline's "/stats" endpoint reply.
"""
def __init__(self):
self.total_bytes: Optional[int] = None
self.total_records: Optional[int] = None
self.buffered_records: Optional[int] = None
self.num_transport_errors: Optional[int] = None
self.num_parse_errors: Optional[int] = None
self.end_of_input: Optional[bool] = None
@classmethod
def from_dict(cls, d: Mapping[str, Any]):
metrics = cls()
metrics.__dict__.update(d)
return metrics
class OutputEndpointStatus:
"""Represents one member of the "outputs" array within the
pipeline's "/stats" endpoint reply.
"""
def __init__(self):
"""Initializes an empty status."""
self.endpoint_name: Optional[str] = None
self.config: Optional[Mapping] = None
self.metrics: Optional[OutputEndpointMetrics] = None
self.fatal_error: Optional[str] = None
@classmethod
def from_dict(cls, d: Mapping[str, Any]):
status = cls()
status.__dict__.update(d)
status.metrics = OutputEndpointMetrics.from_dict(d["metrics"])
return status
class OutputEndpointMetrics:
"""Represents the "metrics" member within an output endpoint status
in the pipeline's "/stats" endpoint reply.
"""
def __init__(self):
self.transmitted_records: Optional[int] = None
self.transmitted_bytes: Optional[int] = None
self.queued_records: Optional[int] = None
self.queued_batches: Optional[int] = None
self.num_encode_errors: Optional[int] = None
self.num_transport_errors: Optional[int] = None
self.total_processed_input_records: Optional[int] = None
@classmethod
def from_dict(cls, d: Mapping[str, Any]):
metrics = cls()
metrics.__dict__.update(d)
return metrics