"""
id: assess
title: Assessment Helper
author: admin
description: Save the first attached file, read full content, and return it for analysis.
version: 0.1.0
license: Proprietary
"""

from typing import List, Dict, Any, Optional


class Tools:
    def run(
        self,
        dest_path: str = "/data/adaptai/input/attached.txt",
        file_id: Optional[str] = None,
        __files__: List[Dict[str, Any]] = [],
    ) -> dict:
        """
        Save the first attachment (or provided file_id) to dest_path, then read and return full content.
        Returns: { ok, path, bytes, content }
        """
        # Lazy import of plugin loader to avoid seed-time issues
        from open_webui.utils.plugin import load_tool_module_by_id

        # Save
        attachments, _ = load_tool_module_by_id("attachments")
        save_args = {"dest_path": dest_path}
        if file_id:
            save_args["file_id"] = file_id
        saved = attachments.save(__files__=__files__, **save_args)
        if not saved.get("ok"):
            return {"ok": False, "error": saved.get("error", "save failed")}
        # Read
        files, _ = load_tool_module_by_id("files")
        read = files.read(path=dest_path)
        if "content" not in read:
            return {"ok": False, "error": read}
        return {
            "ok": True,
            "path": dest_path,
            "bytes": len(read.get("content", "").encode("utf-8")),
            "content": read.get("content", ""),
        }

    def scaffold(self) -> dict:
        """
        Return a standard assessment scaffold (section headings) the LLM can fill in.
        """
        sections = [
            "Executive Summary",
            "Objectives & Scope",
            "Assumptions & Dependencies",
            "Strengths & Gaps",
            "Risks & Mitigations",
            "Stakeholders & Roles",
            "Architecture / Workflow",
            "Timeline & Acceptance Criteria",
            "Resource Estimate (skills, tools, infra)",
            "Quick Wins (next 48h)",
            "Open Questions",
            "Recommended 1–2 Week Plan",
        ]
        template = "\n\n".join([f"## {h}\n- " for h in sections])
        return {"template": template}