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ctx_compress artifact slm-only
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from __future__ import annotations
import json
import re
from dataclasses import dataclass
from pathlib import Path
from typing import Any
_FENCE = re.compile(r"```[a-zA-Z]*")
@dataclass(frozen=True)
class Verdict:
ok: bool
answer: Any
reason: str = ""
class SafeDict(dict):
def __missing__(self, key: str) -> str:
return ""
def strip_fences(text: str) -> str:
return _FENCE.sub("\n", text).strip()
def fields_of(task: dict[str, Any]) -> str:
lines = []
for key, value in task.items():
body = value if isinstance(value, str) else json.dumps(value, ensure_ascii=False)
lines.append(f"{key}: {body}")
return "\n".join(lines)
class Adapter:
name = "generic"
stop: list[str] = ["\n\n\n"]
def render(self, prompts: Path, kind: str, task: dict[str, Any], **extra: Any) -> str:
template = (prompts / self.name / f"{kind}.txt").read_text(encoding="utf-8")
values = SafeDict(task_json=json.dumps(task, ensure_ascii=False), fields=fields_of(task))
values.update({k: v for k, v in task.items() if isinstance(v, str | int | float)})
values.update({k: (v if isinstance(v, str) else json.dumps(v)) for k, v in extra.items()})
return template.format_map(values)
def query(self, task: dict[str, Any]) -> str:
for key in ("question", "prompt", "input", "text", "instruction"):
if isinstance(task.get(key), str):
return str(task[key])
return fields_of(task)
def clean(self, text: str) -> str:
return strip_fences(text)
def verify(self, text: str, task: dict[str, Any], tools_url: str) -> Verdict:
answer = self.clean(text)
if not answer:
return Verdict(False, "", "empty answer")
return Verdict(True, answer)
def as_text(self, answer: Any) -> str:
return answer if isinstance(answer, str) else json.dumps(answer, ensure_ascii=False)