feat: release v1.0.0-beta.1

2026-07-21 09:44:30 +00:00 · 2026-05-29 17:33:12 +08:00
commit 36b0537676
290 changed files with 72303 additions and 0 deletions
@@ -0,0 +1,148 @@
+#!/bin/bash
+# 常温测试脚本：每30秒通过LLM生成对话写入，持续验证 L0→L1→L3 有效性
+# Usage: bash warm-test-loop.sh [rounds] (default: infinite)
+
+set -uo pipefail
+
+APIG_URL="${APIG_URL:-https://tdai.apigateway.cd.test.polaris/v2}"
+INSTANCE="${INSTANCE:-mem-0294jqv7}"
+API_KEY="${API_KEY:?Please set API_KEY env var}"
+LLM_URL="${LLM_URL:-https://tokenhub.tencentmaas.com/v1/chat/completions}"
+LLM_KEY="${LLM_KEY:?Please set LLM_KEY env var}"
+LLM_MODEL="${LLM_MODEL:-minimax-m2.7}"
+INTERVAL=30
+MAX_ROUNDS=${1:-0}  # 0 = infinite
+
+ROUND=0
+PASS=0
+FAIL=0
+
+echo "=========================================="
+echo " 常温测试 - 每${INTERVAL}秒一轮 (LLM生成对话)"
+echo " APIG: ${APIG_URL}"
+echo " Instance: ${INSTANCE}"
+echo " Started: $(date '+%Y-%m-%d %H:%M:%S')"
+echo "=========================================="
+echo ""
+
+cleanup() {
+  echo ""
+  echo "=========================================="
+  echo " 测试结束 ($(date '+%H:%M:%S'))"
+  echo " 总轮次: ${ROUND}"
+  echo " PASS: ${PASS}"
+  echo " FAIL: ${FAIL}"
+  echo "=========================================="
+  exit 0
+}
+trap cleanup SIGINT SIGTERM
+
+generate_conversation() {
+  local round=$1
+  # 用LLM生成随机对话（3轮user/assistant）
+  local prompt="请生成一段模拟用户和AI助手的对话（3轮，共6条消息）。用户在自我介绍中包含：姓名、年龄、职业、工作地点、技术栈或专业领域、业余爱好。每轮对话要有具体细节（数字、地名、品牌等）。第${round}次生成请确保内容独特不重复。
+
+严格按以下JSON格式输出，不要输出任何其他内容：
+[{\"role\":\"user\",\"content\":\"...\"},{\"role\":\"assistant\",\"content\":\"...\"},{\"role\":\"user\",\"content\":\"...\"},{\"role\":\"assistant\",\"content\":\"...\"},{\"role\":\"user\",\"content\":\"...\"},{\"role\":\"assistant\",\"content\":\"...\"}]"
+
+  local resp
+  resp=$(curl -s --connect-timeout 15 --max-time 30 "${LLM_URL}" \
+    -H "Content-Type: application/json" \
+    -H "Authorization: Bearer ${LLM_KEY}" \
+    -d "{\"model\":\"${LLM_MODEL}\",\"messages\":[{\"role\":\"user\",\"content\":$(echo "$prompt" | python3 -c "import sys,json; print(json.dumps(sys.stdin.read()))")}],\"max_tokens\":800,\"temperature\":0.9}" 2>/dev/null)
+
+  # 提取content并解析JSON array
+  echo "$resp" | python3 -c "
+import sys,json,re
+try:
+    d=json.load(sys.stdin)
+    content=d['choices'][0]['message']['content']
+    # 提取JSON数组
+    match=re.search(r'\[[\s\S]*\]', content)
+    if match:
+        msgs=json.loads(match.group())
+        if len(msgs)>=6:
+            print(json.dumps(msgs[:6], ensure_ascii=False))
+        else:
+            print('ERROR:not_enough_msgs')
+    else:
+        print('ERROR:no_json_array')
+except Exception as e:
+    print(f'ERROR:{e}')
+" 2>/dev/null
+}
+
+while true; do
+  ROUND=$((ROUND + 1))
+  if [ "${MAX_ROUNDS}" -gt 0 ] && [ "${ROUND}" -gt "${MAX_ROUNDS}" ]; then
+    break
+  fi
+
+  TS=$(date +%s)
+  SESSION="warm-${TS}-r${ROUND}"
+
+  echo "[Round ${ROUND}] $(date '+%H:%M:%S') session=${SESSION}"
+
+  # 1. LLM 生成对话
+  echo "  生成对话..."
+  MESSAGES=$(generate_conversation ${ROUND})
+
+  if [[ "$MESSAGES" == ERROR:* ]]; then
+    echo "  ❌ LLM生成失败: ${MESSAGES}"
+    FAIL=$((FAIL + 1))
+    sleep ${INTERVAL}
+    continue
+  fi
+
+  # 2. 写入 L0
+  RESP=$(curl -sk -X POST "${APIG_URL}/conversation/add" \
+    -H "Content-Type: application/json" \
+    -H "Authorization: Bearer ${API_KEY}" \
+    -H "X-TDAI-Service-ID: ${INSTANCE}" \
+    -d "{\"session_id\":\"${SESSION}\",\"messages\":${MESSAGES}}" 2>/dev/null)
+
+  L0_CODE=$(echo "$RESP" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('code','err'))" 2>/dev/null || echo "parse_err")
+  L0_COUNT=$(echo "$RESP" | python3 -c "import sys,json; d=json.load(sys.stdin); print(len(d.get('data',{}).get('accepted_ids',[])))" 2>/dev/null || echo "0")
+
+  if [ "$L0_CODE" = "0" ]; then
+    echo "  ✓ L0写入: ${L0_COUNT}条"
+  else
+    echo "  ❌ L0写入失败: code=${L0_CODE}"
+    FAIL=$((FAIL + 1))
+    sleep ${INTERVAL}
+    continue
+  fi
+
+  # 3. 验证 L1 total 递增
+  L1_BEFORE=$(curl -sk -X POST "${APIG_URL}/atomic/query" \
+    -H "Content-Type: application/json" \
+    -H "Authorization: Bearer ${API_KEY}" \
+    -H "X-TDAI-Service-ID: ${INSTANCE}" \
+    -d "{\"limit\":1}" 2>/dev/null | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('data',{}).get('total',0))" 2>/dev/null || echo "0")
+  echo "  L1 total(before): ${L1_BEFORE}"
+
+  # 4. 验证 Persona 存在
+  PERSONA_LEN=$(curl -sk -X POST "${APIG_URL}/persona/read" \
+    -H "Content-Type: application/json" \
+    -H "Authorization: Bearer ${API_KEY}" \
+    -H "X-TDAI-Service-ID: ${INSTANCE}" \
+    -d '{}' 2>/dev/null | python3 -c "import sys,json; d=json.load(sys.stdin); print(len(d.get('data',{}).get('content','')))" 2>/dev/null || echo "0")
+  echo "  L3 Persona长度: ${PERSONA_LEN}"
+
+  # 5. Health check
+  HEALTH=$(curl -sk "${APIG_URL}/../health" 2>/dev/null | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('status','?'))" 2>/dev/null || echo "unknown")
+
+  if [ "$L0_CODE" = "0" ] && [ "$L0_COUNT" -ge 4 ]; then
+    PASS=$((PASS + 1))
+    echo "  ✓ PASS (L0=${L0_COUNT}, L1_total=${L1_BEFORE}, Persona=${PERSONA_LEN})"
+  else
+    FAIL=$((FAIL + 1))
+    echo "  ❌ FAIL"
+  fi
+
+  echo "  [累计] PASS=${PASS} FAIL=${FAIL} | 等待${INTERVAL}s..."
+  echo ""
+  sleep ${INTERVAL}
+done
+
+cleanup