from __future__ import annotations

from .shared import *

from .charter_seed_utils import _localize_seed_to_zh, _needs_seed_localize_zh, _parse_json_object_text, _to_bullet_text

def _has_non_empty_module_data(content: dict[str, Any]) -> bool:
    modules = content.get("modules")
    if not isinstance(modules, dict):
        return False
    for module in modules.values():
        if not isinstance(module, dict):
            continue
        for value in module.values():
            if str(value or "").strip():
                return True
    return False

def _has_complete_module_data(content: dict[str, Any]) -> bool:
    modules = content.get("modules")
    if not isinstance(modules, dict):
        return False
    for module_key, required_fields in _CHARTER_REQUIRED_FIELDS.items():
        module_payload = modules.get(module_key)
        if not isinstance(module_payload, dict):
            return False
        for field_key in required_fields:
            if not str(module_payload.get(field_key) or "").strip():
                return False
    return True

def _merge_prefill_content(
    existing: dict[str, Any], incoming: dict[str, Any], *, overwrite_existing: bool
) -> dict[str, Any]:
    merged: dict[str, Any] = dict(existing)
    for key, value in incoming.items():
        if overwrite_existing or key not in merged:
            merged[key] = value
            continue
        current = merged.get(key)
        if isinstance(current, dict) and isinstance(value, dict):
            merged[key] = _merge_prefill_content(
                current, value, overwrite_existing=overwrite_existing
            )
            continue
        if isinstance(current, list):
            if not current and value:
                merged[key] = value
            continue
        if current is None or not str(current).strip():
            merged[key] = value
    return merged

def _default_ai_validations(module_name: str) -> str:
    return _to_bullet_text(
        [
            f"校验「{module_name}」与信号源证据链一致",
            "校验字段可验证、可执行、可追踪",
            "发现冲突时自动标注并等待人工否决/确认",
        ]
    )

def _default_escalation_trigger() -> str:
    return _to_bullet_text(
        [
            "置信度低于 0.75",
            "关键字段缺失或来源证据冲突",
            "超过模型能力边界或预算/时限约束",
        ]
    )

async def _generate_charter_seed(
    *,
    db: AsyncSession,
    tenant_id: int,
    project_id: int,
    signal_context: str,
) -> dict[str, Any]:
    if not signal_context.strip():
        return {}

    prompt = (
        "你是 AI 项目经理，请基于输入信号生成可落地的宪章草稿。"
        "所有自然语言字段必须使用简体中文，禁止英文句子；模型名称或技术名词可保留英文。"
        "只输出 JSON，不要 markdown。\n"
        "字段：\n"
        "{\n"
        '  "summary": "一句话问题摘要",\n'
        '  "background": "背景与动机",\n'
        '  "objectives": ["目标1","目标2"],\n'
        '  "scope": "范围说明",\n'
        '  "in_scope": ["范围内事项1","范围内事项2"],\n'
        '  "out_of_scope": ["范围外事项1","范围外事项2"],\n'
        '  "success_metrics": ["指标1","指标2"],\n'
        '  "risks": ["风险1","风险2"],\n'
        '  "dependencies": ["依赖1","依赖2"],\n'
        '  "primary_model": "模型名",\n'
        '  "fallback_model": "备用模型名"\n'
        "}\n\n"
        f"信号输入：\n{signal_context[:6000]}"
    )
    try:
        raw = await llm_service.generate(
            prompt,
            function_name="sstc_charter_prefill",
            db=db,
            tenant_id=tenant_id,
            project_id=project_id,
        )
        parsed = _parse_json_object_text(raw)
        if parsed:
            if _needs_seed_localize_zh(parsed):
                return await _localize_seed_to_zh(
                    db=db, tenant_id=tenant_id, project_id=project_id, seed=parsed
                )
            return parsed
    except Exception:
        pass

    try:
        ai_seed = await AIService().generate_charter_from_signal(
            signal_context,
            tenant_id=tenant_id,
            db=db,
        )
        if isinstance(ai_seed, dict):
            if _needs_seed_localize_zh(ai_seed):
                return await _localize_seed_to_zh(
                    db=db, tenant_id=tenant_id, project_id=project_id, seed=ai_seed
                )
            return ai_seed
        return {}
    except Exception:
        return {}