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_manual_gate" 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


def test_repair_candidate_missing_card_exposes_manual_handoff_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" in body
    assert "Mode：<code>repair_candidate_missing_manual_handoff</code>" in body
    assert "人工處置包" 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 "AwoooP 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 owner review" 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_owner_review_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 owner review 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，經 owner review 後才可進入批准。"
        ),
        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-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 "修復候選草案已產生，等待 owner review" in body
    assert "Mode：<code>repair_candidate_draft_ready_owner_review</code>" in body
    assert "Owner review 處置包" in body
    assert "批准此卡不會觸發 executor" in body
    assert "Owner review 修復候選草案" 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 "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 owner review" 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