bkyungee
59 lines
2.0 KiB
Bash
Executable File
59 lines
2.0 KiB
Bash
Executable File
#!/usr/bin/env bash
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# 레거시 Qdrant → Agent qdrant_data 복사 (qa_vectors_v2 사용 시 재인덱싱 필요할 수 있음)
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set -euo pipefail
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ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
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RAG_DIR="${ROOT_DIR}/exAiChatBot-chatbot2.0-agent"
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TARGET_QDRANT="${RAG_DIR}/qdrant_data"
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RAG_ENV="${RAG_DIR}/.env"
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QDRANT_COLLECTION_NAME="${QDRANT_COLLECTION:-qa_vectors_v2}"
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if [[ -f "${RAG_ENV}" ]]; then
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_col="$(grep -E '^QDRANT_COLLECTION=' "${RAG_ENV}" 2>/dev/null | tail -1 | cut -d= -f2- | tr -d ' "\r' || true)"
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[[ -n "${_col}" ]] && QDRANT_COLLECTION_NAME="${_col}"
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fi
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LEGACY_CANDIDATES=(
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"${LEGACY_QDRANT_DATA:-}"
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"/Users/aidev/dev/ex-chatbot-stack/qdrant_data"
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"/Users/aidev/dev/exAIChatbot2.0/exAiChatBot-chatbot2.0/qdrant_data"
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"/Users/aidev/dev/exAiChatBot/qdrant_data"
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)
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log() { echo "[$(date '+%H:%M:%S')] $*"; }
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export PATH="/opt/homebrew/bin:/Applications/Docker.app/Contents/Resources/bin:${PATH}"
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LEGACY_QDRANT=""
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for candidate in "${LEGACY_CANDIDATES[@]}"; do
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[[ -n "${candidate}" ]] || continue
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if [[ -d "${candidate}/collections" ]]; then
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LEGACY_QDRANT="${candidate}"
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break
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fi
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done
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if [[ -z "${LEGACY_QDRANT}" ]]; then
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log "레거시 qdrant_data 없음"
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exit 1
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fi
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local_count="$(curl -sf "http://127.0.0.1:6333/collections/${QDRANT_COLLECTION_NAME}" 2>/dev/null \
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| python3 -c "import sys,json; print(json.load(sys.stdin).get('result',{}).get('points_count',0))" 2>/dev/null || echo 0)"
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if [[ "${local_count}" -gt 0 ]]; then
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log "이미 ${local_count} points — bootstrap 생략"
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exit 0
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fi
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log "Qdrant 중지 후 데이터 복사 (${LEGACY_QDRANT})..."
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(cd "${RAG_DIR}" && docker compose -f docker-compose.server.yml stop qdrant api admin 2>/dev/null) || true
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rm -rf "${TARGET_QDRANT}"
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mkdir -p "${TARGET_QDRANT}"
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cp -a "${LEGACY_QDRANT}/." "${TARGET_QDRANT}/"
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(cd "${RAG_DIR}" && docker compose -f docker-compose.server.yml up -d qdrant api admin 2>/dev/null) || \
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(cd "${RAG_DIR}" && docker compose -f docker-compose.server.yml up -d)
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sleep 5
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log "✅ qdrant_data 복사 및 RAG 재기동 완료"
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