1e98f0d04a
- 37개 파일 IP → zioinfo.co.kr 치환 (소스/매뉴얼/설정/하네스) - Manager DrConsole/NetworkConsole/CsapConsole 빌드 + /var/www/manager/ 배포 - 테스트: Manager HTTP 200, ITSM 신규 API 7개 전체 200 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
111 lines
3.8 KiB
Python
111 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""AI 플랫폼 설치 스크립트"""
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import paramiko, time, sys
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HOST='101.79.17.164'; USER='root'; PASS='1q2w3e!Q'
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client = paramiko.SSHClient()
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client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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client.connect(HOST, username=USER, password=PASS, timeout=15)
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sftp = client.open_sftp()
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def run(label, cmd, timeout=300):
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print(f'\n[{label}]')
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chan = client.get_transport().open_session()
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chan.set_combine_stderr(True)
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chan.exec_command(cmd)
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start = time.time()
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while not chan.exit_status_ready():
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if chan.recv_ready(): sys.stdout.buffer.write(chan.recv(4096)); sys.stdout.flush()
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if time.time()-start > timeout: print('[TIMEOUT]'); break
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time.sleep(0.5)
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while chan.recv_ready(): sys.stdout.buffer.write(chan.recv(4096))
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sys.stdout.flush()
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rc = chan.recv_exit_status()
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print(f'exit={rc}'); return rc
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install_script = """#!/bin/bash
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VENV=/opt/guardia/venv/bin/pip
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$VENV install -q --upgrade langchain langchain-community langchain-ollama chromadb sentence-transformers
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$VENV install -q langgraph langchain-chroma
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echo DONE
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"""
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with sftp.open('/tmp/install_ai.sh', 'w') as f:
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f.write(install_script)
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sftp.close()
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run('AI 패키지 설치', 'bash /tmp/install_ai.sh 2>&1 | tail -10', 300)
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# 검증 스크립트
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verify = """
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import sys
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results = []
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for pkg in ['langchain', 'chromadb', 'langchain_community', 'langchain_ollama', 'langgraph']:
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try:
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m = __import__(pkg)
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ver = getattr(m, '__version__', 'ok')
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results.append('OK ' + pkg + '==' + str(ver))
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except ImportError as e:
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results.append('FAIL ' + pkg + ': ' + str(e))
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for r in results:
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print(r)
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ok_cnt = sum(1 for r in results if r.startswith('OK'))
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print('\\n결과: ' + str(ok_cnt) + '/' + str(len(results)) + ' PASS')
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"""
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sftp = client.open_sftp()
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with sftp.open('/tmp/verify_ai.py', 'w') as f:
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f.write(verify)
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sftp.close()
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run('설치 검증', '/opt/guardia/venv/bin/python3 /tmp/verify_ai.py')
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# 임베딩 모델 다운로드 확인
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run('nomic-embed-text 확인', 'ollama list | grep -i nomic || echo "not yet downloaded"')
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# 코드베이스 임베딩 스크립트 생성
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embed_script = '''#!/usr/bin/env python3
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"""GUARDiA 코드베이스를 ChromaDB에 임베딩"""
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import os, sys
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os.environ["ANONYMIZED_TELEMETRY"] = "False"
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from langchain_community.document_loaders import DirectoryLoader, TextLoader
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_ollama import OllamaEmbeddings
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from langchain_chroma import Chroma
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APP_DIR = "/opt/guardia/app"
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VDB_DIR = "/opt/guardia/vectordb"
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print("문서 로딩...")
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loader = DirectoryLoader(APP_DIR, glob="**/*.py",
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loader_cls=TextLoader, loader_kwargs={"encoding":"utf-8", "autodetect_encoding":True})
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docs = loader.load()
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print(f"로드된 파일: {len(docs)}개")
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splitter = RecursiveCharacterTextSplitter(chunk_size=800, chunk_overlap=100)
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chunks = splitter.split_documents(docs)
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print(f"청크 수: {len(chunks)}")
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embeddings = OllamaEmbeddings(model="nomic-embed-text", base_url="http://localhost:11434")
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print("임베딩 중 (시간 소요)...")
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vectordb = Chroma.from_documents(chunks[:50], embeddings, # 처음 50개만 테스트
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persist_directory=VDB_DIR, collection_name="guardia_codebase")
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print(f"임베딩 완료. 저장 위치: {VDB_DIR}")
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# 테스트 검색
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results = vectordb.similarity_search("라이선스 키 등록", k=2)
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print("\\n테스트 검색 결과:")
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for r in results:
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print(f" - {r.metadata.get('source','?')}: {r.page_content[:60]}...")
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'''
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sftp = client.open_sftp()
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with sftp.open('/opt/guardia/app/scripts/embed_codebase.py', 'w') as f:
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f.write(embed_script)
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run('embed_codebase.py 생성', 'ls /opt/guardia/app/scripts/')
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sftp.close()
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client.close()
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print('\nAI 플랫폼 설치 완료')
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