Spaces:
Running
Running
File size: 10,618 Bytes
e70c280 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 | """Compact prior-state scratchpad for Architect batch extract.
Replaces replaying raw prior unit text with a token-capped summary of
entities, open event hubs, dates, and recent predicate/span pointers.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Optional, Sequence
from src.core.saving.ingest_cost import count_source_tokens
DEFAULT_SCRATCHPAD_TOKEN_CAP = 500
DEFAULT_PRIOR_UNIT_WINDOW = 4
_SPAN_POINTER_CHARS = 72
_DESC_CHARS = 60
_MAX_ENTITIES = 40
_MAX_HUBS = 16
_MAX_PREDICATES = 24
_MAX_DATES = 12
@dataclass
class ScratchpadEntity:
uuid: str
name: str
type: str
happened_at: Optional[str] = None
@dataclass
class ScratchpadEventHub:
uuid: str
name: str
happened_at: Optional[str] = None
description: Optional[str] = None
actors: list[str] = field(default_factory=list)
objects: list[str] = field(default_factory=list)
@dataclass
class ScratchpadPredicate:
predicate: str
tail: str
tip: str
span_pointer: Optional[str] = None
@dataclass
class ArchitectScratchpad:
entities: list[ScratchpadEntity] = field(default_factory=list)
event_hubs: list[ScratchpadEventHub] = field(default_factory=list)
recent_predicates: list[ScratchpadPredicate] = field(default_factory=list)
dates: list[str] = field(default_factory=list)
raw_span_fetches: int = 0
def _attr(obj: Any, key: str, default: Any = None) -> Any:
if obj is None:
return default
if isinstance(obj, dict):
return obj.get(key, default)
return getattr(obj, key, default)
def _truncate(text: Optional[str], limit: int) -> str:
value = (text or "").strip()
if len(value) <= limit:
return value
return value[: max(0, limit - 1)].rstrip() + "…"
def _is_event(typ: Optional[str]) -> bool:
return (typ or "").strip().lower() == "event"
def _entity_from_any(obj: Any) -> Optional[ScratchpadEntity]:
name = (_attr(obj, "name") or "").strip()
typ = (_attr(obj, "type") or "").strip()
if not name or not typ:
return None
if name.lower() == typ.lower():
return None
uuid_ = str(_attr(obj, "uuid") or "").strip()
happened = _attr(obj, "happened_at")
return ScratchpadEntity(
uuid=uuid_,
name=name,
type=typ,
happened_at=(str(happened).strip() if happened else None) or None,
)
def _span_pointer_from_rel(rel: Any) -> Optional[str]:
props = _attr(rel, "properties") or {}
if not isinstance(props, dict):
props = {}
span = props.get("source_span") or _attr(rel, "source_span") or ""
span = str(span).strip()
if not span:
return None
return _truncate(span, _SPAN_POINTER_CHARS)
def build_scratchpad(
prior_entities: Sequence[Any],
prior_relationships: Sequence[Any] = (),
*,
max_entities: int = _MAX_ENTITIES,
max_hubs: int = _MAX_HUBS,
max_predicates: int = _MAX_PREDICATES,
) -> ArchitectScratchpad:
"""Build a compact prior-state scratchpad from Scout entities + Architect rels."""
entities: list[ScratchpadEntity] = []
seen_keys: set[tuple[str, str]] = set()
seen_uuids: set[str] = set()
dates: list[str] = []
seen_dates: set[str] = set()
for raw in prior_entities:
ent = _entity_from_any(raw)
if ent is None:
continue
key = (ent.name.lower(), ent.type.lower())
if ent.uuid and ent.uuid in seen_uuids:
continue
if key in seen_keys:
continue
seen_keys.add(key)
if ent.uuid:
seen_uuids.add(ent.uuid)
entities.append(ent)
if ent.happened_at and ent.happened_at not in seen_dates:
seen_dates.add(ent.happened_at)
dates.append(ent.happened_at)
entities = entities[-max_entities:]
hubs_by_key: dict[str, ScratchpadEventHub] = {}
predicates: list[ScratchpadPredicate] = []
for rel in prior_relationships:
tail = _entity_from_any(_attr(rel, "tail"))
tip = _entity_from_any(_attr(rel, "tip"))
pred = (_attr(rel, "name") or "").strip()
if not pred or tail is None or tip is None:
continue
for endpoint in (tail, tip):
if endpoint.happened_at and endpoint.happened_at not in seen_dates:
seen_dates.add(endpoint.happened_at)
dates.append(endpoint.happened_at)
props = _attr(_attr(rel, "tail" if endpoint is tail else "tip"), "properties")
if isinstance(props, dict):
ha = props.get("happened_at")
if ha and str(ha) not in seen_dates:
seen_dates.add(str(ha))
dates.append(str(ha))
span_ptr = _span_pointer_from_rel(rel)
predicates.append(
ScratchpadPredicate(
predicate=pred,
tail=tail.name,
tip=tip.name,
span_pointer=span_ptr,
)
)
for endpoint, other, role in (
(tip, tail, "actor"),
(tail, tip, "object"),
):
if not _is_event(endpoint.type):
continue
hub_key = endpoint.uuid or f"{endpoint.name.lower()}|{endpoint.type.lower()}"
hub = hubs_by_key.get(hub_key)
if hub is None:
desc = _attr(
_attr(rel, "tip" if endpoint is tip else "tail"),
"description",
)
hub = ScratchpadEventHub(
uuid=endpoint.uuid,
name=endpoint.name,
happened_at=endpoint.happened_at,
description=_truncate(desc, _DESC_CHARS) or None,
)
hubs_by_key[hub_key] = hub
if role == "actor":
if other.name not in hub.actors:
hub.actors.append(other.name)
else:
if other.name not in hub.objects:
hub.objects.append(other.name)
predicates = predicates[-max_predicates:]
hubs = list(hubs_by_key.values())[-max_hubs:]
dates = dates[-_MAX_DATES:]
return ArchitectScratchpad(
entities=entities,
event_hubs=hubs,
recent_predicates=predicates,
dates=dates,
)
def serialize_scratchpad(
pad: ArchitectScratchpad,
*,
token_cap: int = DEFAULT_SCRATCHPAD_TOKEN_CAP,
) -> tuple[str, int]:
"""Serialize scratchpad under a reference-token cap. Returns (text, tokens)."""
cap = max(32, int(token_cap or DEFAULT_SCRATCHPAD_TOKEN_CAP))
sections: list[str] = []
if pad.entities:
lines = ["Entities:"]
for ent in pad.entities:
bits = [ent.name, ent.type]
if ent.uuid:
bits.append(ent.uuid[:8])
if ent.happened_at:
bits.append(f"@{ent.happened_at}")
lines.append("- " + " | ".join(bits))
sections.append("\n".join(lines))
if pad.event_hubs:
lines = ["Open event hubs:"]
for hub in pad.event_hubs:
head = hub.name
if hub.happened_at:
head += f" @{hub.happened_at}"
detail_parts = []
if hub.actors:
detail_parts.append("actors=" + ", ".join(hub.actors[:4]))
if hub.objects:
detail_parts.append("objects=" + ", ".join(hub.objects[:4]))
if hub.description:
detail_parts.append(hub.description)
line = f"- {head}"
if detail_parts:
line += " (" + "; ".join(detail_parts) + ")"
lines.append(line)
sections.append("\n".join(lines))
if pad.dates:
sections.append("Dates: " + ", ".join(pad.dates))
if pad.recent_predicates:
lines = ["Recent predicates:"]
for pred in pad.recent_predicates:
line = f"- {pred.tail} --{pred.predicate}--> {pred.tip}"
if pred.span_pointer:
line += f' [{pred.span_pointer}]'
lines.append(line)
sections.append("\n".join(lines))
if not sections:
return "", 0
# Drop trailing sections until under cap (prefer keep entities + hubs).
while sections:
text = "\n".join(sections)
tokens, _, _ = count_source_tokens(text)
if tokens <= cap:
return text, tokens
if len(sections) == 1:
# Hard-trim the last remaining section by lines.
lines = sections[0].split("\n")
while len(lines) > 1:
lines.pop()
text = "\n".join(lines)
tokens, _, _ = count_source_tokens(text)
if tokens <= cap:
return text, tokens
return "", 0
sections.pop()
return "", 0
def fetch_prior_span(
prior_chunks: Sequence[str],
needle: str,
*,
window_chars: int = 200,
) -> Optional[str]:
"""On-demand: locate `needle` in prior unit text and return a small window."""
query = (needle or "").strip()
if not query or not prior_chunks:
return None
window = max(40, int(window_chars or 200))
for chunk in reversed(list(prior_chunks)):
text = chunk or ""
idx = text.find(query)
if idx < 0:
idx = text.lower().find(query.lower())
if idx < 0:
continue
start = max(0, idx - window // 4)
end = min(len(text), idx + len(query) + window // 2)
return text[start:end].strip()
return None
def format_unit_with_scratchpad(current_chunk: str, scratchpad_text: str) -> str:
"""Compose Architect unit prompt text: scratchpad preamble + current unit."""
if not (scratchpad_text or "").strip():
return current_chunk
return (
f"[Prior scratchpad]\n{scratchpad_text.strip()}\n\n"
f"[Current unit]\n{current_chunk}"
)
def resolve_prior_context_mode(
configured: str | None,
architect_mode: str,
) -> str:
"""
Resolve prior-context strategy.
auto (default): scratchpad for batch/schema, raw for tooler.
"""
value = (configured or "auto").strip().lower()
if value in ("scratchpad", "raw"):
return value
if value in ("auto", ""):
if (architect_mode or "").strip().lower() in ("batch", "schema"):
return "scratchpad"
return "raw"
raise ValueError(
f"Invalid INGEST_ARCHITECT_PRIOR_CONTEXT: {configured!r}. "
"Expected 'auto', 'scratchpad', or 'raw'."
)
|