from pydantic import BaseModel, Field


class DocumentInfo(BaseModel):
    document_id: str
    name: str
    chunks_count: int
    file_type: str
    created_at: str
    metadata: dict = Field(default_factory=dict)


class ChunkPreview(BaseModel):
    index: int
    section: str = ""
    page_number: int = 0
    text_preview: str = ""
    char_length: int = 0


class DocumentUploadResponse(BaseModel):
    document_id: str
    name: str
    chunks_count: int
    status: str = "indexed"
    created_at: str
    chunks_preview: list[ChunkPreview] = Field(default_factory=list)


class DocumentListResponse(BaseModel):
    documents: list[DocumentInfo]
    total: int


class ChunkDetail(BaseModel):
    index: int
    section: str = ""
    page_number: int = 0
    text: str = ""
    char_length: int = 0
    embedding: list[float] = Field(default_factory=list)
    embedding_dim: int = 0


class DocumentChunksResponse(BaseModel):
    document_id: str
    name: str
    file_type: str
    chunks_count: int
    chunks: list[ChunkDetail] = Field(default_factory=list)


class DocumentDeleteResponse(BaseModel):
    ok: bool = True
    deleted_chunks: int


class IntentDocumentsResponse(BaseModel):
    intent_code: str
    document_ids: list[str] = Field(default_factory=list)


class DocumentIntentsResponse(BaseModel):
    document_id: str
    intent_codes: list[str] = Field(default_factory=list)


class SourceInfo(BaseModel):
    document_id: str
    document_name: str
    chunk_text: str
    section: str = ""
    page: int = 0
    relevance_score: float = 0.0


class QueryResponse(BaseModel):
    answer: str
    sources: list[SourceInfo]
    model_used: str
    assembled_prompt: str = ""
    intent_code: str = "_debug"
    config_version: int | None = None
    rag_subscription: dict | None = None  # {"subscribed_count": int, "found_count": int} — Спринт 7


class HealthResponse(BaseModel):
    status: str = "ok"
    chromadb: str
    embedding_model: str
    documents_count: int
    chunks_count: int


class MessageInfo(BaseModel):
    id: int
    role: str
    text: str
    created_at: str
    sources: list[SourceInfo] = Field(default_factory=list)
    assembled_prompt: str = ""
    intent_code: str = ""
    intent_name: str = ""
    meta: dict | None = None
    escalation_reason: str | None = None


class ThreadInfo(BaseModel):
    id: int
    name: str
    created_at: str
    updated_at: str
    messages_count: int
    first_message_preview: str = ""


class ThreadListResponse(BaseModel):
    threads: list[ThreadInfo]
    total: int


class ThreadStateInfo(BaseModel):
    current_intent_code: str | None = None
    current_step: int = 0
    current_step_code: str | None = None
    slots: dict = Field(default_factory=dict)
    handoff_count: int = 0
    soft_insertion_count: int = 0
    suspended_intent: str | None = None
    resumable_step_code: str | None = None
    resumable_slots: dict = Field(default_factory=dict)
    pending_guard: dict | None = None


class BounceInfo(BaseModel):
    from_: str = Field(alias="from")
    to: str
    preface: str = ""

    model_config = {"populate_by_name": True}


class ValidationEventInfo(BaseModel):
    current_step: str
    requested_step: str
    reason: str
    guard_name: str | None = None
    missing_slots: list[str] = Field(default_factory=list)
    guard_description: str = ""


class ThreadDetailResponse(BaseModel):
    id: int
    name: str
    created_at: str
    updated_at: str
    messages: list[MessageInfo] = Field(default_factory=list)
    thread_state: ThreadStateInfo | None = None


class ChatResponse(BaseModel):
    thread_id: int
    thread_name: str
    message_id: int
    intent_code: str = ""
    intent_name: str = ""
    router_intent_code: str = ""
    config_version: int = 0
    router_version: int | None = None
    answer: str
    sources: list[SourceInfo]
    model_used: str
    assembled_prompt: str = ""
    thread_state: ThreadStateInfo = Field(default_factory=ThreadStateInfo)
    bounces: list[BounceInfo] = Field(default_factory=list)
    validation_events: list[ValidationEventInfo] = Field(default_factory=list)
    parse_error: str | None = None
    routing_loop_triggered: bool = False
    resumed_from_suspended: bool = False
    message_meta: dict | None = None
    escalation_reason: str | None = None
    operator_summary: dict | None = None
    router_assembled_prompt: str = ""
    rag_subscription: dict | None = None  # {"subscribed_count": int, "found_count": int} — Спринт 7


class ThreadDeleteResponse(BaseModel):
    ok: bool = True
    deleted_messages: int


class AgentConfigInfo(BaseModel):
    id: int
    intent_id: int | None = None
    intent_code: str = ""
    intent_name: str = ""
    version: int
    name: str | None = None
    system_prompt: str
    rules_text: str = ""
    exit_conditions_text: str = ""
    is_active: bool
    created_at: str


class AgentConfigListResponse(BaseModel):
    configs: list[AgentConfigInfo]
    total: int


class AgentConfigDeleteResponse(BaseModel):
    ok: bool = True


class IntentInfo(BaseModel):
    id: int
    code: str
    name: str
    description: str = ""
    is_enabled: bool
    order_index: int
    active_config_id: int | None = None
    active_config_version: int | None = None


class IntentListResponse(BaseModel):
    intents: list[IntentInfo]
    total: int


class IntentStepInfo(BaseModel):
    id: int
    intent_id: int
    intent_code: str = ""
    code: str
    name: str
    order_index: int
    system_prompt: str = ""
    allowed_next: list[str] = Field(default_factory=list)
    guards: dict = Field(default_factory=dict)
    updated_at: str


class IntentStepListResponse(BaseModel):
    intent_code: str
    steps: list[IntentStepInfo]
    total: int


class IntentStepGraphInfo(BaseModel):
    id: int
    intent_code: str
    version: int
    name: str
    is_active: bool
    steps_count: int
    created_at: str


class IntentStepGraphListResponse(BaseModel):
    intent_code: str
    graphs: list[IntentStepGraphInfo]
    active_graph_id: int | None
    total: int


# ---------- Прогоны регрессии (Спринт 8a) ----------

class EvalRunInfo(BaseModel):
    id: int
    suite: str
    router_config_id: int | None
    router_config_version: int | None
    min_count: int
    status: str
    total: int
    passed: int
    failed: int
    cache_hits: int
    error_text: str | None
    started_at: str
    finished_at: str | None


class EvalRunCaseInfo(BaseModel):
    text: str
    expected_intent: str
    predicted_intent: str
    count_weight: int
    is_pass: bool = True


class EvalRunDiffInfo(BaseModel):
    prev_run_id: int | None
    new_fails: list[EvalRunCaseInfo]
    new_passes: list[EvalRunCaseInfo]


class EvalRunDetailResponse(BaseModel):
    run: EvalRunInfo
    cases: list[EvalRunCaseInfo]
    diff: EvalRunDiffInfo


class EvalRunListResponse(BaseModel):
    runs: list[EvalRunInfo]
    total: int


# ---------- Регрессия веток (Спринт 8b) ----------

class EvalBranchRunInfo(BaseModel):
    id: int
    suite: str
    intent_code: str
    branch_config_id: int | None
    branch_config_version: int | None
    status: str
    total: int
    passed: int
    failed: int
    cache_hits: int
    error_text: str | None
    started_at: str
    finished_at: str | None


class EvalBranchRunCaseInfo(BaseModel):
    text: str
    coverage: str
    expected_doc_section: str | None
    expected_keywords: list[str]
    expected_must_not: list[str]
    keywords_min: int | None
    predicted_answer: str
    predicted_sections: list[dict]
    is_pass: bool
    fail_reasons: list[str]
    count_weight: int


class EvalBranchRunDetailResponse(BaseModel):
    run: EvalBranchRunInfo
    cases: list[EvalBranchRunCaseInfo]


class EvalBranchRunListResponse(BaseModel):
    runs: list[EvalBranchRunInfo]
    total: int