"""
将 MemoryService.retrieve / evidence bundle 格式化为 prompt 用短文本（叙事与访谈共用）。
"""

from __future__ import annotations

import json
import re


def _normalize_evidence_line(s: str) -> str:
    return re.sub(r"\s+", " ", (s or "").strip().lower())


def dedupe_evidence_chunk_rows(chunks: list) -> list:
    """
    对 relevant_chunks 做稳定去重：按归一化后长度降序 + 原下标，单遍包含判定；
    复杂度 O(n log n)；输出按原顺序中保留条目的相对顺序稳定。
    """
    extracted: list[tuple[int, str, object]] = []
    for i, c in enumerate(chunks):
        content = (
            c.get("content", "") if isinstance(c, dict) else getattr(c, "content", "")
        )
        t = (content or "").strip()
        if not t:
            continue
        extracted.append((i, t, c))
    if len(extracted) <= 1:
        return [x[2] for x in extracted]
    extracted.sort(
        key=lambda x: (-len(_normalize_evidence_line(x[1])), x[0]),
    )
    kept_norms: list[str] = []
    kept: list[tuple[int, object]] = []
    for orig_idx, text, c in extracted:
        n = _normalize_evidence_line(text)
        dup = False
        for kn in kept_norms:
            if len(n) <= len(kn) and n in kn:
                dup = True
                break
        if not dup:
            kept_norms.append(n)
            kept.append((orig_idx, c))
    kept.sort(key=lambda x: x[0])
    return [x[1] for x in kept]


def _flatten_object_json(obj_raw: object) -> str:
    """Extract readable text from fact object_json (may be dict, JSON string, or plain str)."""
    if isinstance(obj_raw, dict):
        return str(obj_raw.get("value", "")) or ", ".join(
            f"{k}={v}" for k, v in obj_raw.items() if v
        )
    if isinstance(obj_raw, str):
        s = obj_raw.strip()
        if s.startswith("{"):
            try:
                parsed = json.loads(s)
                if isinstance(parsed, dict):
                    return str(parsed.get("value", s)) or s
            except (json.JSONDecodeError, TypeError):
                pass
        return s
    return str(obj_raw) if obj_raw else ""


def format_evidence_chunks_for_prompt(evidence: dict) -> str:
    """将 retrieve_evidence / retrieve_evidence_sync 结果格式化为简短文本，供叙事与访谈 prompt 使用。

    包含 chunks、摘要（若有）、confirmed facts、timeline、故事摘要（若有）。
    """
    chunks = evidence.get("relevant_chunks") or []
    chunks = dedupe_evidence_chunk_rows(chunks[:10])
    summaries = evidence.get("relevant_summaries") or []
    facts = evidence.get("relevant_facts") or []
    timeline = evidence.get("timeline_hints") or []
    stories = evidence.get("relevant_stories") or []
    parts: list[str] = []
    for c in chunks:
        content = (
            c.get("content", "") if isinstance(c, dict) else getattr(c, "content", "")
        )
        if content:
            parts.append(content.strip())
    for s in summaries[:3]:
        if isinstance(s, dict):
            st = (s.get("content") or "").strip()
            stype = (s.get("summary_type") or "").strip()
            if st:
                label = f"[摘要:{stype}]" if stype else "[摘要]"
                parts.append(f"{label} {st}")
    for f in facts[:5]:
        if isinstance(f, dict):
            subj = f.get("subject", "")
            pred = f.get("predicate", "")
            obj_raw = f.get("object_json", "")
            obj = _flatten_object_json(obj_raw)
            if subj or pred:
                if obj:
                    parts.append(f"{subj}：{pred}（{obj}）")
                else:
                    parts.append(f"{subj}：{pred}")
        else:
            parts.append(f"{getattr(f, 'subject', '')}：{getattr(f, 'predicate', '')}")
    for t in timeline[:5]:
        if isinstance(t, dict):
            title = (t.get("title") or "").strip()
            year = t.get("event_year")
            desc = (t.get("description") or "").strip()
            line = " ".join(
                x for x in (str(year) if year is not None else "", title, desc) if x
            )
            if line:
                parts.append(line)
    for st in stories[:3]:
        if isinstance(st, dict):
            title = (st.get("title") or "").strip()
            summ = (st.get("summary") or "").strip()
            if title or summ:
                parts.append(" ".join(x for x in (title, summ) if x))
    return "\n\n".join(parts) if parts else ""