great-ai/great_ai/views/trace.py

89 lines
2.4 KiB
Python

from pprint import pformat
from typing import Any, Dict, Generic, List, Optional, TypeVar
from uuid import uuid4
from pydantic import BaseModel, Extra, validator
from ..helper import HashableBaseModel
from .model import Model
T = TypeVar("T")
class Trace(Generic[T], HashableBaseModel):
trace_id: Optional[str]
created: str
original_execution_time_ms: float
logged_values: Dict[str, Any]
models: List[Model]
exception: Optional[str]
output: T
feedback: Any = None
tags: List[str]
class Config:
extra = Extra.ignore
@validator("trace_id", always=True)
def generate_id(cls, v: Optional[str], values: Dict[str, Any]) -> str:
if v:
return v
return str(uuid4())
@property
def input(self) -> Any:
return (
self.logged_values["input"]
if list(self.logged_values.keys()) == ["input"]
else self.logged_values
)
@property
def models_flat(self) -> str:
return ", ".join(f"{m.key}:{m.version}" for m in self.models)
@property
def output_flat(self) -> str:
return pformat(self.output, indent=2, compact=True)
@property
def exception_flat(self) -> str:
return (
"null"
if self.exception is None
else pformat(self.exception, indent=2, compact=True)
)
@property
def feedback_flat(self) -> str:
return (
"null"
if self.feedback is None
else pformat(self.feedback, indent=2, compact=True)
)
@property
def tags_flat(self) -> str:
return ",\n".join(self.tags)
def to_flat_dict(self, include_original: bool = True) -> Dict[str, Any]:
return {
**(
self.dict()
if include_original
else {
"trace_id": self.trace_id,
"created": self.created,
"original_execution_time_ms": self.original_execution_time_ms,
}
),
**{
k: v.dict() if isinstance(v, BaseModel) else v
for k, v in self.logged_values.items()
},
"models_flat": self.models_flat,
"exception_flat": self.exception_flat,
"output_flat": self.output_flat,
"feedback_flat": self.feedback_flat,
"tags_flat": self.tags_flat,
}