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We cannot use recursive types because not only does our OpenAPI generator not like them, even if it did, it is not easy for all client languages to automatically construct proper APIs (especially considering garbage collection) around them. For now, we can return a `Dict[str, SpanWithStatus]` instead of `SpanWithChildren` and rely on the client to reconstruct the tree. Also fixed a super subtle issue with the OpenAPI generation process (monkey-patching of json_schema_type wasn't working because of import reordering.)
211 lines
4.8 KiB
Python
211 lines
4.8 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from datetime import datetime
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from enum import Enum
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from typing import (
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Any,
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Dict,
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List,
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Literal,
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Optional,
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Protocol,
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runtime_checkable,
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Union,
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)
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel, Field
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from typing_extensions import Annotated
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# Add this constant near the top of the file, after the imports
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DEFAULT_TTL_DAYS = 7
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@json_schema_type
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class SpanStatus(Enum):
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OK = "ok"
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ERROR = "error"
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@json_schema_type
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class Span(BaseModel):
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span_id: str
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trace_id: str
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parent_span_id: Optional[str] = None
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name: str
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start_time: datetime
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end_time: Optional[datetime] = None
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attributes: Optional[Dict[str, Any]] = Field(default_factory=dict)
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def set_attribute(self, key: str, value: Any):
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if self.attributes is None:
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self.attributes = {}
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self.attributes[key] = value
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@json_schema_type
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class Trace(BaseModel):
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trace_id: str
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root_span_id: str
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start_time: datetime
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end_time: Optional[datetime] = None
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@json_schema_type
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class EventType(Enum):
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UNSTRUCTURED_LOG = "unstructured_log"
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STRUCTURED_LOG = "structured_log"
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METRIC = "metric"
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@json_schema_type
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class LogSeverity(Enum):
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VERBOSE = "verbose"
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DEBUG = "debug"
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INFO = "info"
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WARN = "warn"
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ERROR = "error"
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CRITICAL = "critical"
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class EventCommon(BaseModel):
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trace_id: str
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span_id: str
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timestamp: datetime
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attributes: Optional[Dict[str, Any]] = Field(default_factory=dict)
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@json_schema_type
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class UnstructuredLogEvent(EventCommon):
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type: Literal[EventType.UNSTRUCTURED_LOG.value] = EventType.UNSTRUCTURED_LOG.value
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message: str
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severity: LogSeverity
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@json_schema_type
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class MetricEvent(EventCommon):
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type: Literal[EventType.METRIC.value] = EventType.METRIC.value
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metric: str # this would be an enum
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value: Union[int, float]
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unit: str
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@json_schema_type
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class StructuredLogType(Enum):
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SPAN_START = "span_start"
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SPAN_END = "span_end"
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@json_schema_type
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class SpanStartPayload(BaseModel):
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type: Literal[StructuredLogType.SPAN_START.value] = (
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StructuredLogType.SPAN_START.value
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)
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name: str
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parent_span_id: Optional[str] = None
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@json_schema_type
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class SpanEndPayload(BaseModel):
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type: Literal[StructuredLogType.SPAN_END.value] = StructuredLogType.SPAN_END.value
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status: SpanStatus
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StructuredLogPayload = Annotated[
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Union[
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SpanStartPayload,
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SpanEndPayload,
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],
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Field(discriminator="type"),
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]
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@json_schema_type
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class StructuredLogEvent(EventCommon):
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type: Literal[EventType.STRUCTURED_LOG.value] = EventType.STRUCTURED_LOG.value
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payload: StructuredLogPayload
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Event = Annotated[
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Union[
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UnstructuredLogEvent,
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MetricEvent,
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StructuredLogEvent,
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],
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Field(discriminator="type"),
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]
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@json_schema_type
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class EvalTrace(BaseModel):
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session_id: str
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step: str
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input: str
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output: str
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expected_output: str
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@json_schema_type
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class SpanWithStatus(Span):
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status: Optional[SpanStatus] = None
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@json_schema_type
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class QueryConditionOp(Enum):
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EQ = "eq"
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NE = "ne"
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GT = "gt"
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LT = "lt"
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@json_schema_type
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class QueryCondition(BaseModel):
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key: str
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op: QueryConditionOp
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value: Any
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@runtime_checkable
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class Telemetry(Protocol):
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@webmethod(route="/telemetry/log-event")
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async def log_event(
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self, event: Event, ttl_seconds: int = DEFAULT_TTL_DAYS * 86400
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) -> None: ...
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@webmethod(route="/telemetry/query-traces", method="POST")
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async def query_traces(
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self,
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attribute_filters: Optional[List[QueryCondition]] = None,
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limit: Optional[int] = 100,
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offset: Optional[int] = 0,
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order_by: Optional[List[str]] = None,
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) -> List[Trace]: ...
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@webmethod(route="/telemetry/get-span-tree", method="POST")
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async def get_span_tree(
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self,
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span_id: str,
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attributes_to_return: Optional[List[str]] = None,
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max_depth: Optional[int] = None,
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) -> Dict[str, SpanWithStatus]: ...
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@webmethod(route="/telemetry/query-spans", method="POST")
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async def query_spans(
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self,
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attribute_filters: List[QueryCondition],
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attributes_to_return: List[str],
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max_depth: Optional[int] = None,
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) -> List[Span]: ...
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@webmethod(route="/telemetry/save-spans-to-dataset", method="POST")
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async def save_spans_to_dataset(
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self,
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attribute_filters: List[QueryCondition],
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attributes_to_save: List[str],
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dataset_id: str,
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max_depth: Optional[int] = None,
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) -> None: ...
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