"""Transcript distill intern — compress session transcript into structured action-list."""

from __future__ import annotations

from pathlib import Path
from typing import Any

from .base import BlockedByPolicy, Intern, InternResponse


class TranscriptDistill(Intern):
    id = "transcript_distill"
    description = "Compress a session transcript/log into a structured action-list."

    def run(self, paths: list[str], question: str = "Extract action items, decisions, and unresolved questions.", **kwargs: Any) -> InternResponse | BlockedByPolicy:
        contents: list[str] = []
        for p in paths:
            text = Path(p).read_text(encoding="utf-8", errors="replace")
            contents.append(f"--- {p} ---\n{text}")

        combined = "\n\n".join(contents)
        prompt = f"Transcript:\n{combined}\n\nTask: {question}"

        if self.client is None:
            return InternResponse(text="No client configured", usage={})

        extra_body = kwargs.get("extra_body", {})
        resp = self.client.chat.completions.create(
            model=self.model or "deepseek-v4-flash",
            messages=[
                {"role": "system", "content": self.system_prompt},
                {"role": "user", "content": prompt},
            ],
            max_tokens=kwargs.get("max_tokens", self.max_tokens),
            temperature=self.temperature,
            extra_body=extra_body if extra_body else None,
        )

        choice = resp.choices[0]
        return InternResponse(
            text=choice.message.content or "",
            usage={
                "tokens_in": resp.usage.prompt_tokens if resp.usage else 0,
                "tokens_out": resp.usage.completion_tokens if resp.usage else 0,
            },
        )