from src.services.telegram_gateway import TelegramMessage


def test_action_required_card_exposes_ai_automation_on_fallback() -> None:
    message = TelegramMessage(
        status_emoji="🚨",
        risk_level="CRITICAL",
        resource_name="node-exporter-110",
        root_cause="AI 分析超時（90s），降級至人工審核",
        suggested_action="待分析",
        estimated_downtime="5-15 min",
        approval_id="test-approval-id",
        incident_id="INC-20260429-TEST01",
        primary_responsibility="INFRA",
        confidence=0.0,
    )

    body = message.format()

    assert "AI 自動化鏈路" in body
    assert "rule_fallback" in body
    assert "llm_timeout_ai_route_retry" in body
    assert "OpenClaw" in body
    assert "NemoTron" in body
    assert "Hermes" in body
    assert "ElephantAlpha" in body
    assert "流程進度" in body
    assert "執行：<code>no_action_or_observe</code>" in body
    assert "等待人工批准" not in body


def test_repair_candidate_missing_card_exposes_ai_repair_candidate_package() -> None:
    message = TelegramMessage(
        status_emoji="ℹ️",
        risk_level="LOW",
        resource_name="node-exporter-188",
        root_cause="AI 選擇不執行修復，需人工判斷是否接手",
        suggested_action="NO_ACTION - REPAIR_CANDIDATE_MISSING: LLM 分析失敗，尚未產生安全可執行修復指令",
        estimated_downtime="unknown",
        approval_id="test-approval-id",
        incident_id="INC-20260611-34BBF5",
        primary_responsibility="INFRA",
        confidence=0.0,
        alert_category="host_resource",
        repair_candidate_blocker_summary="只命中通用兜底 PlayBook，禁止當成修復命令",
        repair_candidate_next_step=(
            "建立專屬 PlayBook 草案：綁定 alertname / target selector，補 MCP evidence refs、"
            "修復命令、rollback、verifier plan 與 owner review。"
        ),
        repair_candidate_required_fields=[
            "alertname",
            "target_selector",
            "mcp_evidence_refs",
            "repair_command",
            "rollback_command",
            "verifier_plan",
            "owner_review",
        ],
        repair_candidate_work_item_href=(
            "https://awoooi.wooo.work/zh-TW/awooop/work-items?"
            "project_id=awoooi&incident_id=INC-20260611-34BBF5"
            "&work_item_id=repair-candidate-draft%3Aawoooi%3AINC-20260611-34BBF5"
        ),
        repair_candidate_work_item_id="repair-candidate-draft:awoooi:INC-20260611-34BBF5",
    )

    body = message.format()

    assert "缺少可執行修復候選，已產生人工處置包" not in body
    assert "Mode：<code>repair_candidate_missing_ai_generation</code>" in body
    assert "AI 修復候選補齊包" in body
    assert "只命中通用兜底 PlayBook" in body
    assert "建立專屬 PlayBook 草案" in body
    assert "PlayBook 草案欄位" in body
    assert "repair_command" in body
    assert "工作項目" in body
    assert "AwoooP 修復候選草案" in body
    assert "https://awoooi.wooo.work/zh-TW/awooop/work-items?" in body
    assert "補證據：node_exporter target up" in body
    assert "AI 建立修復候選" in body
    assert "自動化資產總帳" in body
    assert "KM：<code>Knowledge Base</code>" in body
    assert "PlayBook：<code>Work Items</code>" in body
    assert "腳本/Ansible：<code>Runs</code>" in body
    assert "排程/監控：<code>Observability</code>" in body
    assert "Verifier：<code>事件時間線</code>" in body
    assert "不可視為自動化完成" in body
    assert "按鈕：<b>Work Item</b> 開啟受控佇列" in body
    assert "<b>處置包</b> 看完整證據" in body
    assert "修復候選狀態" in body
    assert "等待人工批准" not in body


def test_repair_candidate_draft_ready_card_exposes_controlled_queue_handoff() -> None:
    message = TelegramMessage(
        status_emoji="ℹ️",
        risk_level="LOW",
        resource_name="node-exporter-188",
        root_cause=(
            "LLM fallback 後未開 runtime gate；已產生受控自動化修復候選草案。"
            "阻擋：PlayBook 只有觀察或診斷步驟"
        ),
        suggested_action=(
            "DRAFT_READY - REPAIR_CANDIDATE_OWNER_REVIEW_REQUIRED: "
            "PlayBook 只有觀察或診斷步驟"
        ),
        estimated_downtime="unknown",
        approval_id="test-approval-id",
        incident_id="INC-20260625-977E5F",
        primary_responsibility="OPENCLAW_PLAYBOOK_DRAFT",
        confidence=0.0,
        alert_category="host_resource",
        repair_candidate_blocker_summary="PlayBook 只有觀察或診斷步驟",
        repair_candidate_next_step=(
            "把診斷命令保留為 MCP evidence collector；另建獨立修復步驟、rollback "
            "與 verifier，進入 no-write rehearsal / check-mode 後才可 controlled apply。"
        ),
        repair_candidate_required_fields=[
            "alertname",
            "target_selector",
            "mcp_evidence_refs",
            "repair_command",
            "rollback_command",
            "verifier_plan",
            "owner_review",
        ],
        repair_candidate_promotion_summary=(
            "route=host_service_route_after_owner_review; promotion=11/11; "
            "blocked=0; status=controlled_playbook_queue_ready; runtime=false"
        ),
        repair_candidate_work_item_href=(
            "https://awoooi.wooo.work/zh-TW/awooop/work-items?"
            "project_id=awoooi&incident_id=INC-20260625-977E5F"
            "&work_item_id=repair-candidate-draft%3Aawoooi%3AINC-20260625-977E5F"
        ),
        repair_candidate_work_item_id="repair-candidate-draft:awoooi:INC-20260625-977E5F",
    )

    body = message.format()

    assert "修復候選已具體成形" in body
    assert "Mode：<code>repair_candidate_draft_ready_controlled_queue</code>" in body
    assert "AI 受控自動化佇列" in body
    assert "no-write rehearsal" in body
    assert "AI 排程" in body
    assert "PlayBook 只有觀察或診斷步驟" in body
    assert "把診斷命令保留為 MCP evidence collector" in body
    assert "候選升級合約" in body
    assert "route=host_service_route_after_owner_review" in body
    assert "promotion=11/11" in body
    assert "AwoooP 修復候選草案" in body
    assert "自動化資產總帳" in body
    assert "按鈕：<b>Work Item</b> 開啟受控佇列" in body
    assert "缺少可執行修復候選" not in body
    assert "等待人工批准" not in body


def test_nemotron_card_exposes_same_ai_automation_chain() -> None:
    message = TelegramMessage(
        status_emoji="🚨",
        risk_level="CRITICAL",
        resource_name="awoooi-api",
        root_cause="Pod restart loop",
        suggested_action="restart deployment/awoooi-api",
        estimated_downtime="30s",
        approval_id="test-approval-id",
        incident_id="INC-20260429-TEST02",
        primary_responsibility="INFRA",
        confidence=0.86,
        ai_provider="openclaw_nemo",
        ai_model="llama-3.1-nemotron",
        nemotron_enabled=True,
        playbook_name="restart_deployment",
    )

    body = message.format_with_nemotron()

    assert "AI 自動化鏈路" in body
    assert "OpenClaw Nemo" in body
    assert "tool_ready" in body
    assert "restart_deployment" in body
    assert "流程進度" in body


def test_action_required_card_exposes_truth_chain_progress() -> None:
    message = TelegramMessage(
        status_emoji="⚠️",
        risk_level="LOW",
        resource_name="awoooi-api",
        root_cause="restart spike",
        suggested_action="kubectl rollout restart deployment/awoooi-api",
        estimated_downtime="30s",
        approval_id="approval-id",
        incident_id="INC-20260513-TEST03",
        primary_responsibility="INFRA",
        confidence=0.91,
        playbook_name="restart_deployment",
        automation_quality={
            "verdict": "auto_repaired_verified",
            "facts": {
                "auto_repair_execution_records": 1,
                "automation_operation_records": 1,
                "verification_result": "success",
                "mcp_gateway_total": 5,
                "knowledge_entries": 2,
            },
        },
    )

    body = message.format()

    assert "流程進度" in body
    assert "執行：<code>auto_repair_recorded:1</code>" in body
    assert "驗證：<code>success</code>" in body
    assert "KM：<code>2</code>" in body
    assert "MCP：<code>5</code>" in body
    assert "已驗證自動修復" in body
    assert "已驗證自動修復完成" in body
    assert "等待人工批准" not in body


def test_action_required_card_does_not_call_diagnostic_ops_auto_repair() -> None:
    message = TelegramMessage(
        status_emoji="🚨",
        risk_level="CRITICAL",
        resource_name="dirty-reboot-evidence",
        root_cause="Expert System: 偵測到高錯誤率",
        suggested_action="ssh 192.168.0.110 'df -h /data/minio'",
        estimated_downtime="0 min",
        approval_id="approval-id",
        incident_id="INC-20260530-88D960",
        primary_responsibility="INFRA",
        confidence=0.0,
        playbook_name="rule_catalog",
        automation_quality={
            "verdict": "auto_repaired_verification_degraded",
            "facts": {
                "auto_repair_execution_records": 0,
                "automation_operation_records": 1,
                "effective_execution_records": 0,
                "verification_result": "degraded",
                "mcp_gateway_total": 22,
                "knowledge_entries": 2,
            },
        },
    )

    body = message.format()

    assert "已記錄診斷/觀察，驗證結果：degraded" in body
    assert "執行：<code>diagnostic_recorded:1</code>" in body
    assert "已記錄診斷/觀察，尚未證明修復" in body
    assert "已自動執行" not in body