testing-course-samples
Skill79k starsChanged 4 months agoMITView on GitHub
Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).
- Reads credentials
- Installs packages
Files
강의 샘플 테스트
수업 노트북과 코드 샘플이 라이브 Microsoft Foundry / Azure OpenAI 설정에서 실행되는지 검증합니다.
이 저장소에는 모든 Python 노트북을 헤드리스로 실행하고 PASS/FAIL 결과를 출력하는 러너가
scripts/validate-notebooks.ps1에 제공됩니다.
사용할 때
- "내 Azure 구독을 기준으로 모든 노트북/샘플을 검증할 때."
- "패키지를 업그레이드하거나 모델을 변경한 후 코스를 스모크 테스트할 때."
- "어떤 강의가 아직 통과/실패하는지 실시간으로 확인할 때."
AI Smoke Test GitHub 작업(배포된 *를 검증하는 작업)에는 사용하지 마세요
호스팅된 에이전트 — tests/README.md 참조). 이 기능은
노트북을 로컬에서 실행합니다.
사전 요구 사항 (먼저 확인)
- Python 3.12+ 와 과정 의존성:
python -m pip install -r requirements.txt그리고 실행기:python -m pip install nbconvert ipykernel. - 저장소 루트의
.env(.env.example에서 복사) 다음 항목 최소 포함:AZURE_AI_PROJECT_ENDPOINT— Foundry 프로젝트 엔드포인트 (https://<account>.services.ai.azure.com/api/projects/<project>)AZURE_AI_MODEL_DEPLOYMENT_NAME— 사용 중단되지 않은 배포 (예:gpt-5-mini)AZURE_OPENAI_ENDPOINT(https://<account>.openai.azure.com) 및AZURE_OPENAI_DEPLOYMENTAzure OpenAI를 직접 호출하는 강의용 (Lesson 06, 02-azure-openai, 14 handoff/human-loop).
az login완료 — 샘플이AzureCliCredential(Entra ID, 키리스)로 인증됨.- 모델 배포가 존재하는지 확인:
az cognitiveservices account deployment list -g <rg> -n <account> -o table.
검증 실행
# All Python notebooks (skips .NET, .venv, site-packages, translations, skill assets)
pwsh scripts/validate-notebooks.ps1
# A single lesson, with a longer per-cell timeout
pwsh scripts/validate-notebooks.ps1 -Filter '08-*' -Timeout 600
# Just list what would run (no execution)
pwsh scripts/validate-notebooks.ps1 -List
# Explicit interpreter (if `python` is not on PATH, e.g. Windows Store alias)
pwsh scripts/validate-notebooks.ps1 -Python "C:/path/to/python.exe"스크립트는 실행된 복사본, 노트북별 로그, 그리고 results.json를
$env:TEMP\aiab-nbval 에 기록하고 실패 횟수와 함께 종료합니다.
일시적 실패(공유 구독 HTTP 429 속도 제한, 가끔 있는
AzureCliCredential 토큰 문제 또는 타임아웃)는 자동으로 재시도됩니다.
(-Retries, 기본값 2, -RetryDelaySeconds 백오프로 기본값 20). 만약
모델 배포가 정기적으로 429 응답을 보낸다면, 구독의 GlobalStandard
TPM 할당량(az cognitiveservices usage list -l <region>)을 확인하세요 — 단일
배포 용량을 높이는 것은 <em>구독</em> 할당량이 소진된 경우 도움이 되지 않습니다.
결과 해석
PASS— 노트북이 셀 오류 없이 처음부터 끝까지 실행되었습니다.FAIL— 첫 번째*Error/*Exception줄이 표시됩니다; 전체 추적을 보려면 출력 디렉터리의 해당하는log_*.txt를 여세요.- 단일 노트북 실패는
-Timeout(셀당)으로 제한되므로, 중단된 인간-인터랙티브 셀은 중단되지 않고StdinNotImplementedError로 나타납니다.
추가 리소스가 필요한 강의 (리소스 없이는 실패할 것으로 예상)
| 강의 | 추가 요구 사항 |
| 05 Agentic RAG | Azure AI Search (AZURE_SEARCH_SERVICE_ENDPOINT, 키) — 메모리 내 백업 경로 포함 |
| 11 MCP / GitHub | GitHub MCP 서버 + PAT |
| 13 메모리 (cognee) | 모델 공급자와 구성된 cognee |
| 15 브라우저 사용 | Playwright 브라우저 설치됨 (playwright install) + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME |
| 17 로컬 에이전트 | Foundry 로컬 런타임 + 다운로드된 Qwen 모델 (장치 내, 클라우드 없음) |
*-dotnet-* 노트북 | .NET Interactive 커널 (기본 제외; -IncludeDotnet 사용) |
보고
수업별로 그룹화된 PASS/FAIL 표로 요약합니다. 진짜 퇴보된 사항
(수정해야 할 코드/구성 버그)과 환경 문제 (누락된 Search/Foundry Local/PAT)를 구분하고,
각 실제 실패에 대해 실패한 log_*.txt를 인용합니다.
<!-- CO-OP TRANSLATOR DISCLAIMER START -->면책 조항: 이 문서는 AI 번역 서비스 Co-op Translator를 사용하여 번역되었습니다. 정확성을 기하기 위해 노력하고 있으나, 자동 번역은 오류나 부정확한 부분이 있을 수 있음을 유의하시기 바랍니다. 원본 문서의 원어본이 권위 있는 자료로 간주되어야 합니다. 중요한 정보의 경우, 전문가의 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 당사는 책임을 지지 않습니다.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->Trending
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In this repository392 other files it gives its agents.
- AGENTS.mdAGENTS.md
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- translations/bg/AGENTS.mdAGENTS.md
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- translations/cs/AGENTS.mdAGENTS.md
- translations/da/AGENTS.mdAGENTS.md
- translations/de/AGENTS.mdAGENTS.md
- translations/el/AGENTS.mdAGENTS.md
- translations/en/AGENTS.mdAGENTS.md
- translations/es/AGENTS.mdAGENTS.md
- translations/et/AGENTS.mdAGENTS.md
- translations/fa/AGENTS.mdAGENTS.md
- translations/fi/AGENTS.mdAGENTS.md
- translations/fr/AGENTS.mdAGENTS.md
- translations/he/AGENTS.mdAGENTS.md
- translations/hi/AGENTS.mdAGENTS.md
- translations/hr/AGENTS.mdAGENTS.md
- translations/hu/AGENTS.mdAGENTS.md
- translations/id/AGENTS.mdAGENTS.md
- translations/it/AGENTS.mdAGENTS.md
- translations/ja/AGENTS.mdAGENTS.md
- translations/km/AGENTS.mdAGENTS.md
- translations/kn/AGENTS.mdAGENTS.md
- translations/ko/AGENTS.mdAGENTS.md
- translations/lt/AGENTS.mdAGENTS.md
- translations/ml/AGENTS.mdAGENTS.md
- translations/mr/AGENTS.mdAGENTS.md
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Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

