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116524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 | """Typed provenance models for skillbook insight sources."""
from __future__ import annotations
import hashlib
import json
from dataclasses import dataclass, field
from typing import Any, Iterable, Mapping
TRACE_IDENTITY_METADATA_KEY = "ace.trace_identity"
def make_trace_uid(source_system: str, trace_id: str) -> str:
"""Return a stable composite identifier for a trace."""
return f"{source_system}:{trace_id}"
def fingerprint_trace(value: Any) -> str:
"""Return a stable content fingerprint for a trace-like object."""
try:
payload = json.dumps(value, ensure_ascii=False, sort_keys=True, default=str)
except TypeError:
payload = repr(value)
return hashlib.sha256(payload.encode("utf-8")).hexdigest()
def _coerce_str(value: Any) -> str | None:
if value is None:
return None
text = str(value).strip()
return text or None
def _legacy_trace_id(payload: Mapping[str, Any]) -> str | None:
for key in ("sample_id", "item_id", "task_id", "id"):
value = _coerce_str(payload.get(key))
if value is not None:
return value
return None
def _safe_int(value: Any) -> int | None:
if isinstance(value, int):
return value
if isinstance(value, str) and value.strip().lstrip("-").isdigit():
return int(value)
return None
@dataclass
class TraceIdentity:
"""Stable identity for a trace across storage and UI layers."""
source_system: str
trace_id: str
display_name: str | None = None
trace_uid: str | None = None
def __post_init__(self) -> None:
self.source_system = self.source_system.strip() or "local"
self.trace_id = self.trace_id.strip()
if not self.trace_uid:
self.trace_uid = make_trace_uid(self.source_system, self.trace_id)
if self.display_name is not None:
self.display_name = self.display_name.strip() or None
@classmethod
def from_dict(cls, payload: Mapping[str, Any]) -> "TraceIdentity":
trace_uid = _coerce_str(payload.get("trace_uid"))
source_system = _coerce_str(payload.get("source_system"))
trace_id = _coerce_str(payload.get("trace_id"))
if (
trace_uid
and (source_system is None or trace_id is None)
and ":" in trace_uid
):
inferred_source, inferred_id = trace_uid.split(":", 1)
source_system = source_system or inferred_source
trace_id = trace_id or inferred_id
if trace_id is None:
legacy_id = _legacy_trace_id(payload)
if legacy_id is not None:
trace_id = legacy_id
if source_system is None:
source_system = "legacy"
if trace_id is None:
trace_id = fingerprint_trace(dict(payload))
return cls(
source_system=source_system,
trace_id=trace_id,
display_name=_coerce_str(payload.get("display_name"))
or _legacy_trace_id(payload)
or trace_id,
trace_uid=trace_uid,
)
def to_dict(self) -> dict[str, Any]:
data: dict[str, Any] = {}
data["trace_uid"] = self.trace_uid
data["source_system"] = self.source_system
data["trace_id"] = self.trace_id
if self.display_name is not None:
data["display_name"] = self.display_name
return data
@dataclass
class InsightSource:
"""A single provenance record describing how a trace informed a skill."""
trace_uid: str
source_system: str
trace_id: str
display_name: str | None = None
relation: str | None = None
sample_question: str | None = None
epoch: int | None = None
operation_type: str | None = None
error_identification: str | None = None
learning_text: str | None = None
@classmethod
def from_dict(cls, payload: Mapping[str, Any]) -> "InsightSource":
identity = TraceIdentity.from_dict(payload)
return cls(
trace_uid=identity.trace_uid
or make_trace_uid(identity.source_system, identity.trace_id),
source_system=identity.source_system,
trace_id=identity.trace_id,
display_name=identity.display_name,
relation=_coerce_str(payload.get("relation")),
sample_question=_coerce_str(payload.get("sample_question")),
epoch=_safe_int(payload.get("epoch")),
operation_type=_coerce_str(payload.get("operation_type")),
error_identification=_coerce_str(payload.get("error_identification")),
learning_text=_coerce_str(payload.get("learning_text")),
)
def to_dict(self) -> dict[str, Any]:
data: dict[str, Any] = {
"trace_uid": self.trace_uid,
"source_system": self.source_system,
"trace_id": self.trace_id,
}
if self.display_name is not None:
data["display_name"] = self.display_name
if self.relation is not None:
data["relation"] = self.relation
if self.sample_question is not None:
data["sample_question"] = self.sample_question
if self.epoch is not None:
data["epoch"] = self.epoch
if self.operation_type is not None:
data["operation_type"] = self.operation_type
if self.error_identification is not None:
data["error_identification"] = self.error_identification
if self.learning_text is not None:
data["learning_text"] = self.learning_text
return data
def coerce_trace_identity(value: TraceIdentity | Mapping[str, Any]) -> TraceIdentity:
if isinstance(value, TraceIdentity):
return value
return TraceIdentity.from_dict(value)
def coerce_insight_source(value: InsightSource | Mapping[str, Any]) -> InsightSource:
if isinstance(value, InsightSource):
return value
return InsightSource.from_dict(value)
def coerce_insight_sources(value: Any) -> list[InsightSource]:
if value is None:
return []
if isinstance(value, InsightSource):
return [value]
if isinstance(value, Mapping):
return [InsightSource.from_dict(value)]
if isinstance(value, Iterable) and not isinstance(value, (str, bytes)):
sources: list[InsightSource] = []
for item in value:
if isinstance(item, InsightSource):
sources.append(item)
elif isinstance(item, Mapping):
sources.append(InsightSource.from_dict(item))
return sources
return []
def infer_trace_identity(
*,
trace: Any = None,
sample: Any = None,
metadata: Mapping[str, Any] | None = None,
default_source_system: str = "local",
) -> TraceIdentity:
"""Infer the best available stable trace identity."""
if metadata:
raw_metadata_identity = metadata.get(
TRACE_IDENTITY_METADATA_KEY
) or metadata.get("trace_identity")
if isinstance(raw_metadata_identity, (TraceIdentity, Mapping)):
return coerce_trace_identity(raw_metadata_identity)
sample_metadata = getattr(sample, "metadata", None)
if isinstance(sample_metadata, Mapping):
raw_sample_identity = sample_metadata.get(
TRACE_IDENTITY_METADATA_KEY
) or sample_metadata.get("trace_identity")
if isinstance(raw_sample_identity, (TraceIdentity, Mapping)):
return coerce_trace_identity(raw_sample_identity)
trace_id = _coerce_str(sample_metadata.get("trace_id")) or _legacy_trace_id(
sample_metadata
)
source_system = _coerce_str(sample_metadata.get("source_system"))
display_name = _coerce_str(sample_metadata.get("display_name"))
trace_uid = _coerce_str(sample_metadata.get("trace_uid"))
if trace_uid or trace_id:
if trace_id is None and trace_uid and ":" in trace_uid:
inferred_source, inferred_id = trace_uid.split(":", 1)
source_system = source_system or inferred_source
trace_id = inferred_id
if trace_id is not None:
return TraceIdentity(
source_system=source_system or "sample",
trace_id=trace_id,
display_name=display_name
or _legacy_trace_id(sample_metadata)
or _coerce_str(getattr(sample, "id", None))
or trace_id,
trace_uid=trace_uid,
)
if isinstance(trace, Mapping):
raw_identity = trace.get(TRACE_IDENTITY_METADATA_KEY) or trace.get(
"trace_identity"
)
if isinstance(raw_identity, (TraceIdentity, Mapping)):
return coerce_trace_identity(raw_identity)
if any(key in trace for key in ("trace_uid", "trace_id", "source_system")):
return TraceIdentity.from_dict(trace)
legacy_id = _legacy_trace_id(trace)
if legacy_id is not None:
return TraceIdentity(
source_system=_coerce_str(trace.get("source_system"))
or default_source_system,
trace_id=legacy_id,
display_name=_coerce_str(trace.get("display_name"))
or _coerce_str(trace.get("question"))
or legacy_id,
)
sample_id = _coerce_str(getattr(sample, "id", None))
if sample_id is not None:
return TraceIdentity(
source_system="sample",
trace_id=sample_id,
display_name=sample_id,
)
fallback_source = (
trace if trace is not None else getattr(sample, "question", sample)
)
fallback_id = fingerprint_trace(fallback_source)
display_name = None
if isinstance(trace, Mapping):
display_name = _coerce_str(trace.get("question")) or _coerce_str(
trace.get("sample_id")
)
if display_name is None:
display_name = _legacy_trace_id(trace)
if display_name is None:
display_name = _coerce_str(getattr(sample, "question", None)) or sample_id
return TraceIdentity(
source_system=default_source_system,
trace_id=fallback_id,
display_name=display_name or fallback_id,
)
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