"""
报告生成器 —— 单次分析报告
"""
import json
from typing import Any

from core.config import LLM_CONFIG
from core.utils import get_llm_client, llm_chat
from layers.explorer import ExplorationStep
from layers.insights import Insight


REPORT_PROMPT = """你是一个数据分析报告撰写专家。基于以下信息撰写报告。

## 用户问题
{question}

## 分析计划
{plan}

## 探索过程
{exploration}

## 主动洞察
{insights_text}

## 可用图表
{charts_text}

## 撰写要求
1. **开头**：一句话总结核心结论
2. **核心发现**：按重要性排列，带具体数字
3. **图表引用**：用 `![标题](路径)` 嵌入到相关段落
4. **深入洞察**：异常、趋势、关联
5. **建议**：基于数据的行动建议
6. **审计**：末尾附上所有 SQL

中文，专业简报风格。图表自然嵌入对应段落。"""


class ReportGenerator:
    """报告生成器"""

    def __init__(self):
        self.client, self.model = get_llm_client(LLM_CONFIG)

    def generate(self, question: str, plan: dict, steps: list[ExplorationStep],
                 insights: list[Insight], charts: list[dict] | None = None) -> str:
        exploration = self._build_exploration(steps)
        insights_text = "\n".join(str(i) for i in insights) if insights else "未检测到异常。"
        charts_text = "\n".join(f"{i}. 标题: {c['title']}, 路径: {c['path']}" for i, c in enumerate(charts or [], 1)) or "无图表。"

        prompt = REPORT_PROMPT.format(
            question=question,
            plan=json.dumps(plan, ensure_ascii=False, indent=2),
            exploration=exploration,
            insights_text=insights_text,
            charts_text=charts_text,
        )

        return llm_chat(
            self.client, self.model,
            messages=[
                {"role": "system", "content": "你是专业的数据分析师，撰写清晰、有洞察力的分析报告。"},
                {"role": "user", "content": prompt},
            ],
            temperature=0.3, max_tokens=4096,
        )

    def _build_exploration(self, steps: list[ExplorationStep]) -> str:
        parts = []
        for step in steps:
            if step.action == "done":
                parts.append(f"### 结束\n{step.reasoning}")
            elif step.success:
                parts.append(
                    f"### 第 {step.round_num} 轮：{step.purpose}\n"
                    f"SQL: `{step.sql}`\n结果 ({step.row_count} 行):\n"
                    f"数据: {json.dumps(step.rows, ensure_ascii=False)}"
                )
            else:
                parts.append(f"### 第 {step.round_num} 轮：{step.purpose}\nSQL: `{step.sql}`\n失败: {step.error}")
        return "\n\n".join(parts) if parts else "无探索步骤"