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acf77ab | 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 | from __future__ import annotations
from typing import TYPE_CHECKING
from codeforge.interrogator.models import InterrogationResult
if TYPE_CHECKING:
from codeforge.kb.indexer import SkillsIndex
_TEMPLATES = (
"What is the exact success criterion for '{brief_head}'?",
"Have you considered the guidance from {skill_name}: '{section_title}'?",
"Which of these assumptions is most load-bearing: success metric, inputs, failure modes?",
"What is the single hardest edge case for '{brief_head}'?",
"Have you consulted {skill_name2} for the patterns it recommends?",
)
class Interrogator:
"""Generates Socratic questions that cite real skill corpus nodes."""
def __init__(self, index: SkillsIndex | None) -> None:
self._index = index
def generate(self, brief: str, *, top_k: int = 5) -> InterrogationResult:
brief_head = brief.strip()[:80] or "the task"
results = (
self._index.search(brief, top_k=top_k)
if self._index is not None
else []
)
cited_ids = tuple(r.node_id for r in results[:2])
first = results[0] if results else None
second = results[1] if len(results) > 1 else first
skill_name = first.skill_name if first else "the skill library"
section_title = (
"/".join(first.section_path) if first else "the relevant section"
)
skill_name2 = second.skill_name if second else skill_name
questions = tuple(
t.format(
brief_head=brief_head,
skill_name=skill_name,
section_title=section_title,
skill_name2=skill_name2,
)
for t in _TEMPLATES
)
return InterrogationResult(questions=questions, cited_node_ids=cited_ids)
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