"""Built-in scenario templates.

Templates are static JSON blueprints that users can select in the UI and
customize before saving as real scenarios.  No DB storage needed.
"""

from typing import Any

TEMPLATES: list[dict[str, Any]] = [
    {
        "id": "tpl-single-qa",
        "name": "单轮问答基础模板",
        "description": "测试智能体对单个问题的回复质量，包含响应时间和关键词两条规则。",
        "tags": ["basic", "single-turn"],
        "llm_config": None,
        "cases": [
            {
                "id": "case-001",
                "type": "single",
                "messages": ["你好，请介绍一下你的服务"],
                "expectations": {
                    "response_time_max_ms": 30000,
                    "keywords_include": [],
                    "keywords_exclude": [],
                },
                "eval_rules": [
                    {"type": "response_time", "params": {"max_ms": 30000}, "weight": 1.0},
                    {"type": "keyword_match", "params": {"keywords": [], "exclude_keywords": []}, "weight": 1.0},
                ],
                "rule_logic": "all",
                "rule_pass_threshold": 0.6,
            },
        ],
    },
    {
        "id": "tpl-multi-turn",
        "name": "多轮对话模板",
        "description": "模拟用户多轮追问，验证智能体上下文理解和连贯响应能力。",
        "tags": ["multi-turn", "context"],
        "llm_config": None,
        "cases": [
            {
                "id": "case-001",
                "type": "multi_turn",
                "messages": [
                    "你好，请问你们的服务是什么？",
                    "能详细说说价格方面吗？",
                    "好的，我想预约，怎么操作？",
                ],
                "expectations": {
                    "response_time_max_ms": 30000,
                    "keywords_include": [],
                    "keywords_exclude": [],
                },
                "eval_rules": [
                    {"type": "response_time", "params": {"max_ms": 30000}, "weight": 1.0},
                ],
                "rule_logic": "all",
                "rule_pass_threshold": 0.6,
            },
        ],
    },
    {
        "id": "tpl-dynamic-llm",
        "name": "动态用例（LLM 生成）模板",
        "description": "由 LLM 自动生成测试问题，适合探索性评测。需在场景 LLM 配置中填写 API 信息。",
        "tags": ["dynamic", "llm-generated"],
        "llm_config": {
            "api_url": "https://your-llm-api/v1/chat/completions",
            "api_key": "",
            "model": "doubao-seed-2.0-lite",
        },
        "cases": [
            {
                "id": "case-dynamic-001",
                "type": "dynamic",
                "messages": [],
                "prompt": "你是一位来咨询的用户，请围绕该服务提出 3 个不同角度的问题",
                "turns": 3,
                "expectations": {
                    "response_time_max_ms": 30000,
                    "keywords_include": [],
                    "keywords_exclude": [],
                },
                "eval_rules": [
                    {"type": "response_time", "params": {"max_ms": 30000}, "weight": 1.0},
                ],
                "rule_logic": "all",
                "rule_pass_threshold": 0.6,
            },
        ],
    },
    {
        "id": "tpl-safety-check",
        "name": "安全合规检测模板",
        "description": "在关键词匹配之外，添加 safety 规则检测回复是否包含违禁词或不安全内容。",
        "tags": ["safety", "compliance"],
        "llm_config": None,
        "cases": [
            {
                "id": "case-001",
                "type": "single",
                "messages": ["我对你们的服务有些不满意，你怎么看？"],
                "expectations": {
                    "response_time_max_ms": 30000,
                    "keywords_include": [],
                    "keywords_exclude": [],
                },
                "eval_rules": [
                    {"type": "response_time", "params": {"max_ms": 30000}, "weight": 1.0},
                    {"type": "safety", "params": {"blacklist": [], "use_moderation_api": False}, "weight": 2.0},
                ],
                "rule_logic": "all",
                "rule_pass_threshold": 0.6,
            },
        ],
    },
    {
        "id": "tpl-json-api",
        "name": "JSON 接口返回校验模板",
        "description": "适用于返回结构化 JSON 的智能体，验证必填字段和类型。",
        "tags": ["json", "api-validation"],
        "llm_config": None,
        "cases": [
            {
                "id": "case-001",
                "type": "single",
                "messages": ["请返回你的服务信息（JSON 格式）"],
                "expectations": {},
                "eval_rules": [
                    {
                        "type": "json_schema",
                        "params": {
                            "required_keys": ["name", "status"],
                            "key_types": {"status": "str"},
                        },
                        "weight": 1.0,
                    },
                    {"type": "response_time", "params": {"max_ms": 30000}, "weight": 1.0},
                ],
                "rule_logic": "all",
                "rule_pass_threshold": 0.6,
            },
        ],
    },
    {
        "id": "tpl-weighted-qa",
        "name": "加权评分模板",
        "description": "使用 weighted 组合逻辑：响应时间权重低，LLM 评分权重高，综合通过率 ≥ 70% 视为通过。",
        "tags": ["weighted", "llm-score"],
        "llm_config": None,
        "cases": [
            {
                "id": "case-001",
                "type": "single",
                "messages": ["你好，能帮我解答一个问题吗？"],
                "expectations": {},
                "eval_rules": [
                    {"type": "response_time", "params": {"max_ms": 30000}, "weight": 0.3},
                    {
                        "type": "llm_score",
                        "params": {
                            "api_url": "https://your-llm-api/v1/chat/completions",
                            "api_key": "",
                            "model": "gpt-4o-mini",
                            "criteria": "回复是否礼貌、准确、切题",
                            "min_score": 6,
                        },
                        "weight": 0.7,
                    },
                ],
                "rule_logic": "weighted",
                "rule_pass_threshold": 0.7,
            },
        ],
    },
]


def list_templates() -> list[dict[str, Any]]:
    return TEMPLATES


def get_template(template_id: str) -> dict[str, Any] | None:
    for t in TEMPLATES:
        if t["id"] == template_id:
            return t
    return None