"""配置管理（pydantic-settings 完整配置项）.

对齐 02-architecture-design.md §15 配置清单.
环境变量前缀 DATA_ANA_（如 DATA_ANA_HTTP_PORT=3006）.
"""

from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    """应用配置.

    所有外部依赖（ClickHouse / Kafka / Redis / iam gRPC）均为可选：
    未配置或不可达时服务进入降级模式，返回骨架数据 + details.degraded: true.
    """

    # 服务
    service_name: str = "data-ana"
    http_port: int = 3006
    grpc_port: int = 50055
    log_level: str = "INFO"
    dev_mode: bool = False

    # ClickHouse（可选：留空则降级模式）
    clickhouse_host: str = ""
    clickhouse_port: int = 8123
    clickhouse_database: str = "edu_analytics"
    clickhouse_user: str = ""
    clickhouse_password: str = ""
    clickhouse_connect_timeout_ms: int = 3000
    clickhouse_query_timeout_s: int = 3  # P4 退出标准 5s，查询 3s 超时降级

    # Kafka
    kafka_brokers: str = ""  # 留空则不启动 CDC 消费者
    kafka_consumer_group: str = "data-ana-cdc"
    kafka_cdc_topics: str = (
        "edu-cdc.next_edu_cloud.core_edu_grades,"
        "edu-cdc.next_edu_cloud.core_edu_exams,"
        "edu-cdc.next_edu_cloud.core_edu_homework_submissions,"
        "edu-cdc.next_edu_cloud.core_edu_attendance,"
        "edu-cdc.next_edu_cloud.classes,"
        "edu-cdc.next_edu_cloud.iam_users,"
        "edu-cdc.next_edu_cloud.content_knowledge_points"
    )
    kafka_mastery_topic: str = "edu.insight.mastery.updated"
    kafka_warning_topic: str = "edu.insight.mastery.updated"  # 复用 mastery topic（总裁裁决 §2.11）
    kafka_ai_usage_topic: str = "edu.insight.ai.usage"
    kafka_enable_auto_commit: bool = False  # v2: 手动 commit（at-least-once）
    kafka_auto_offset_reset: str = "latest"
    kafka_producer_transactional_id: str = "data-ana-producer"

    # iam gRPC
    iam_grpc_endpoint: str = ""  # 留空则使用降级兜底（按 role 映射 DataScope）
    iam_grpc_timeout_s: int = 2
    datascope_cache_ttl_s: int = 300  # 5min

    # Redis
    redis_url: str = ""  # 留空则跳过缓存
    redis_pool_size: int = 10
    redis_socket_timeout_ms: int = 200

    # OTel
    otel_endpoint: str = "http://localhost:4318"
    otel_service_name: str = "data-ana"

    # 掌握度算法
    mastery_window_size: int = 5
    mastery_decay_base: float = 0.6
    mastery_forgetting_half_life_days: int = 30
    mastery_min_samples: int = 3

    # 预警阈值
    warning_low_mastery_threshold: float = 0.4
    warning_critical_mastery_threshold: float = 0.2
    warning_score_drop_percent: float = 0.2
    warning_absent_per_week: int = 3

    # 降级
    degraded_mode_enabled: bool = True

    # 向后兼容：旧代码引用 settings.port / settings.kafka_group_id
    @property
    def port(self) -> int:
        return self.http_port

    @property
    def kafka_group_id(self) -> str:
        return self.kafka_consumer_group

    model_config = SettingsConfigDict(
        env_file=".env",
        env_prefix="DATA_ANA_",
        extra="ignore",
    )


settings = Settings()