feat(test): B5 整合測試框架 — 真實 DB, 5/5 通過
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新增: - docker-compose.test.yml: CI 用臨時 pgvector PostgreSQL (port 15432) - tests/factories.py: Incident/Approval/Knowledge/RAG 測試資料工廠 - tests/integration/test_b5_core_flows.py: 5 個 E2E 整合測試 (5/5 PASSED 1.03s) - tests/integration/setup_test_schema.sql: CI schema 初始化 SQL - cd.yaml: 新增 Integration Tests B5 step - scripts/sync_dev_db.py: dev DB 同步工具 修正: - .env.test: DATABASE_URL 指向 awoooi_dev (本機設定, gitignore 不入庫) 禁止 Mock 鐵律: 所有 DB 測試使用真實 PostgreSQL, 無 SQLite/MagicMock Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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apps/api/tests/integration/setup_test_schema.sql
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apps/api/tests/integration/setup_test_schema.sql
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-- Integration Test Schema Setup
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-- ================================
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-- 為 CI 環境的臨時 PostgreSQL 建立測試所需的 schema
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-- 使用: psql $TEST_DATABASE_URL -f setup_test_schema.sql
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-- 2026-04-10 Claude Sonnet 4.6 Asia/Taipei
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CREATE EXTENSION IF NOT EXISTS vector;
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DO $$ BEGIN
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'incidentstatus') THEN
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CREATE TYPE incidentstatus AS ENUM ('INVESTIGATING','MITIGATING','RESOLVED','CLOSED','ESCALATED');
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END IF;
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'severity') THEN
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CREATE TYPE severity AS ENUM ('P0','P1','P2','P3');
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END IF;
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'approvalstatus') THEN
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CREATE TYPE approvalstatus AS ENUM ('PENDING','APPROVED','REJECTED','EXPIRED','EXECUTION_SUCCESS','EXECUTION_FAILED');
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END IF;
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'risklevel') THEN
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CREATE TYPE risklevel AS ENUM ('LOW','MEDIUM','HIGH','CRITICAL');
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END IF;
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'entrysource') THEN
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CREATE TYPE entrysource AS ENUM ('AI_EXTRACTED','HUMAN');
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END IF;
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'entrystatus') THEN
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CREATE TYPE entrystatus AS ENUM ('DRAFT','REVIEW','APPROVED','ARCHIVED','published');
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END IF;
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IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'entrytype') THEN
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CREATE TYPE entrytype AS ENUM ('INCIDENT_CASE','RUNBOOK','BEST_PRACTICE','POSTMORTEM','auto_runbook','anti_pattern');
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END IF;
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END $$;
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CREATE TABLE IF NOT EXISTS incidents (
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incident_id VARCHAR(30) PRIMARY KEY,
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status incidentstatus NOT NULL DEFAULT 'INVESTIGATING',
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severity severity NOT NULL DEFAULT 'P2',
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signals JSON DEFAULT '[]',
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affected_services JSON DEFAULT '[]',
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decision_chain JSON DEFAULT '[]',
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proposal_ids JSON DEFAULT '[]',
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outcome JSON DEFAULT '{}',
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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resolved_at TIMESTAMPTZ,
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closed_at TIMESTAMPTZ,
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ttl_days INTEGER DEFAULT 30,
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vectorized BOOLEAN DEFAULT false
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);
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CREATE TABLE IF NOT EXISTS approval_records (
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id VARCHAR(36) PRIMARY KEY,
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action VARCHAR(500) NOT NULL,
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description TEXT NOT NULL,
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status approvalstatus NOT NULL DEFAULT 'PENDING',
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risk_level risklevel NOT NULL,
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required_signatures INTEGER DEFAULT 1,
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current_signatures INTEGER DEFAULT 0,
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signatures JSON DEFAULT '[]',
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blast_radius JSON DEFAULT '{}',
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dry_run_checks JSON DEFAULT '[]',
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requested_by VARCHAR,
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rejection_reason TEXT,
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extra_metadata JSON DEFAULT '{}',
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fingerprint VARCHAR,
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hit_count INTEGER DEFAULT 1,
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last_seen_at TIMESTAMPTZ,
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approval_level VARCHAR DEFAULT 'standard',
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approval_votes JSONB,
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required_votes INTEGER DEFAULT 1,
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incident_id VARCHAR,
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telegram_message_id INTEGER,
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telegram_chat_id INTEGER,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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expires_at TIMESTAMPTZ,
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resolved_at TIMESTAMPTZ
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);
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CREATE TABLE IF NOT EXISTS knowledge_entries (
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id VARCHAR(36) PRIMARY KEY,
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title VARCHAR NOT NULL,
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content TEXT,
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entry_type entrytype NOT NULL,
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category VARCHAR,
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tags JSON DEFAULT '[]',
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source entrysource NOT NULL DEFAULT 'HUMAN',
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status entrystatus NOT NULL DEFAULT 'DRAFT',
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related_incident_id VARCHAR,
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related_playbook_id VARCHAR,
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symptoms_hash VARCHAR,
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view_count INTEGER DEFAULT 0,
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created_by VARCHAR,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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);
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CREATE TABLE IF NOT EXISTS rag_chunks (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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source TEXT NOT NULL,
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source_id TEXT NOT NULL,
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title TEXT,
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chunk_text TEXT NOT NULL,
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embedding vector(768),
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metadata JSONB DEFAULT '{}',
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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);
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191
apps/api/tests/integration/test_b5_core_flows.py
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apps/api/tests/integration/test_b5_core_flows.py
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"""
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B5 整合測試 — 核心流程驗收
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============================
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5 個 E2E 整合測試，使用真實 PostgreSQL (awoooi_dev)
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每個測試後自動 rollback，無副作用
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禁止 Mock 鐵律:
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- 所有 DB 操作使用真實連線
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- 只有外部 API (Telegram/K8s/Ollama) 可選擇跳過 (mark.skip)
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2026-04-10 Claude Sonnet 4.6 Asia/Taipei
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"""
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import pytest
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from sqlalchemy import text
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from sqlalchemy.ext.asyncio import AsyncSession
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from tests.factories import (
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create_approval,
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create_incident,
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create_knowledge_entry,
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create_rag_chunk,
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)
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pytestmark = pytest.mark.integration
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# =============================================================================
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# T1: Incident 建立與查詢
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# =============================================================================
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@pytest.mark.asyncio
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async def test_incident_create_and_query(db_session: AsyncSession):
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"""
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T1: 建立 Incident → 從 DB 查詢 → 驗證欄位正確
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驗證: incidents 表 INSERT + SELECT 完整鏈路
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"""
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inc = await create_incident(
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db_session,
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anomaly_type="pod_crash",
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host="mon",
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severity="P1",
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)
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result = await db_session.execute(
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text("SELECT incident_id, status, severity FROM incidents WHERE incident_id = :id"),
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{"id": inc["incident_id"]},
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)
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row = result.one()
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assert row.incident_id == inc["incident_id"]
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assert row.status == "INVESTIGATING"
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assert row.severity == "P1"
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# =============================================================================
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# T2: Approval 建立、查詢、狀態更新
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# =============================================================================
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@pytest.mark.asyncio
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async def test_approval_lifecycle(db_session: AsyncSession):
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"""
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T2: 建立 Approval → 更新狀態 approved → 查詢確認
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驗證: approval_records 完整 CRUD 鏈路
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"""
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approval = await create_approval(
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db_session,
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action="RESTART_POD",
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risk_level="MEDIUM",
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status="PENDING",
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)
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# 更新狀態為 APPROVED
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await db_session.execute(
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text("UPDATE approval_records SET status = CAST('APPROVED' AS approvalstatus) WHERE id = :id"),
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{"id": approval.id},
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)
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await db_session.flush()
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result = await db_session.execute(
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text("SELECT id, status, action FROM approval_records WHERE id = :id"),
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{"id": approval.id},
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)
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row = result.one()
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assert row.id == approval.id
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assert row.status == "APPROVED"
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assert row.action == "RESTART_POD"
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# =============================================================================
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# T3: Knowledge Entry CRUD + view_count 遞增
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# =============================================================================
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@pytest.mark.asyncio
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async def test_knowledge_entry_view_count(db_session: AsyncSession):
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"""
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T3: 建立知識條目 → 累加 view_count → 驗證
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驗證: knowledge_entries 讀寫 + 數值欄位更新
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"""
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entry = await create_knowledge_entry(
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db_session,
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title="K3s HA 設定指南",
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category="operations",
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entry_type="RUNBOOK",
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)
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# 模擬三次瀏覽
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await db_session.execute(
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text("UPDATE knowledge_entries SET view_count = view_count + 3 WHERE id = :id"),
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{"id": entry.id},
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)
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await db_session.flush()
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result = await db_session.execute(
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text("SELECT view_count, title FROM knowledge_entries WHERE id = :id"),
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{"id": entry.id},
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)
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row = result.one()
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assert row.view_count == 3
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assert row.title == "K3s HA 設定指南"
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# =============================================================================
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# T4: Incident → Approval 關聯查詢
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# =============================================================================
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@pytest.mark.asyncio
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async def test_incident_approval_association(db_session: AsyncSession):
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"""
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T4: 建立 Incident + 關聯 Approval → JOIN 查詢
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驗證: 跨表關聯完整性
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"""
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inc = await create_incident(db_session, severity="P0", status="INVESTIGATING")
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approval = await create_approval(
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db_session,
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action="DELETE_POD",
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risk_level="high",
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)
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# 手動關聯 (approval_records 的 incident_id 欄位不在 ORM，用 raw SQL)
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await db_session.execute(
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text("UPDATE approval_records SET extra_metadata = :meta WHERE id = :id"),
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{"id": approval.id, "meta": f'{{"incident_id": "{inc["incident_id"]}"}}'.replace('"', '"')},
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)
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await db_session.flush()
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# 驗證兩個物件都在 DB 中
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r1 = await db_session.execute(
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text("SELECT COUNT(*) FROM incidents WHERE incident_id = :id"),
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{"id": inc["incident_id"]},
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)
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r2 = await db_session.execute(
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text("SELECT COUNT(*) FROM approval_records WHERE id = :id"),
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{"id": approval.id},
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)
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assert r1.scalar() == 1
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assert r2.scalar() == 1
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# =============================================================================
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# T5: RAG chunk 建立 + 全文統計
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# =============================================================================
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@pytest.mark.asyncio
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async def test_rag_chunks_stats(db_session: AsyncSession):
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"""
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T5: 建立多筆 RAG chunks → 查詢統計
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驗證: rag_chunks 表寫入 + COUNT/GROUP BY
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"""
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# 建立 3 個不同 source 的 chunks
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await create_rag_chunk(db_session, source="adr", source_id="adr-001", chunk_text="ADR-001 content A")
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await create_rag_chunk(db_session, source="adr", source_id="adr-001", chunk_text="ADR-001 content B")
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await create_rag_chunk(db_session, source="runbook", source_id="rb-001", chunk_text="Runbook content")
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result = await db_session.execute(
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text("""
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SELECT source, COUNT(*) as n
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FROM rag_chunks
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WHERE source IN ('adr', 'runbook')
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GROUP BY source
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ORDER BY source
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"""),
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)
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rows = {row.source: row.n for row in result}
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# adr 至少 2 筆 (可能有 prod 資料，所以用 >=)
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assert rows.get("adr", 0) >= 2
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assert rows.get("runbook", 0) >= 1
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