fbec36cb67
Scaffold the course repo and author the full curriculum in dependency-chain order, following the settled build decisions in handoff.md. - Scaffold: course README, vendor-neutral AGENTS.md (dogfoods Module 5), _TEMPLATE.md (the fixed 9-section module shape), root .gitignore, ship config. - Modules 1-2: reference exemplars (locked for tone/depth/lab style). - Modules 3-27: full lessons + runnable labs, each following the template, respecting the chain, vendor/model-agnostic, with "feel the pain" labs. - Module 8 hosting comparison web-researched and date-stamped (as of 2026-06-22), not written from memory; expansion-zone modules carry Verify-before-publish. - Capstone: the full loop end to end on the running tasks-app example. Lab code syntax-checked (Python/shell/YAML); every module has the 7 core template sections. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT
25 lines
1.0 KiB
Docker
25 lines
1.0 KiB
Docker
# The Module 16 container image for the tasks-app, set to run the HTTP service from serve.py.
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#
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# This is *what you ship* (Module 16). Continuous delivery/deployment (this module) builds this
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# once, tags it with the commit SHA, and runs that exact artifact everywhere.
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#
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# Note what is NOT here: no secrets, no environment-specific config. Those are injected at run time
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# (Module 17), which is why the same image can run in staging and prod unchanged.
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FROM python:3.12-slim
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WORKDIR /app
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# The app is dependency-free (stdlib only), so there is nothing to pip install. Copy the source.
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COPY tasks.py cli.py serve.py ./
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# Document the port the service listens on.
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EXPOSE 8000
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# A built-in container health check. The deploy step also checks /health from outside, but this
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# lets the runtime itself know whether the container is healthy.
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HEALTHCHECK --interval=5s --timeout=3s --retries=3 \
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CMD python -c "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://localhost:8000/health').status==200 else 1)"
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CMD ["python", "serve.py"]
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