from typing import Any

from fusionagi._logger import logger
from fusionagi.schemas.skill import Skill, SkillKind


class SkillInduction:
    def __init__(self, min_occurrences: int = 2) -> None:
        self._min_occurrences = min_occurrences
    def propose_from_traces(self, traces: list[list[dict[str, Any]]], task_ids: list[str] | None = None) -> list[Skill]:
        candidates: list[Skill] = []
        task_ids = task_ids or [f"task_{i}" for i in range(len(traces))]
        for i, trace in enumerate(traces):
            if not trace:
                continue
            step_ids = [t.get("step_id", t.get("tool", "")) for t in trace[:10]]
            steps = [{"id": s, "description": str(s)} for s in step_ids]
            skill_id = f"induced_{task_ids[i] if i < len(task_ids) else i}_{hash(tuple(step_ids)) % 10**6}"
            candidates.append(Skill(skill_id=skill_id, name=f"Induced routine {i}", description=f"From trace: {step_ids[:3]}", kind=SkillKind.WORKFLOW, steps=steps, tool_names=list({t.get("tool", "") for t in trace if t.get("tool")}), version=1))
        logger.info("SkillInduction proposed", extra={"count": len(candidates)})
        return candidates