roboticcam-machine-learning-notes
SUCCESS
6m 38s
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SummaryIterations1Transcript8Dockerfile
01Iteration 1
WRITEWriteFile· step #1
0s
Dockerfile614 bytes written
▸text21 lines · 614 chars
# Dockerfile for Live Machine Learning Notes repository
FROM python:3.12.13-bookworm

# Set working directory inside the container
WORKDIR /workspace

# Copy repository contents
COPY . /workspace

# Install Python dependencies if a manifest exists (optional)
RUN if [ -f requirements.txt ]; then \
    python -m pip install --no-cache-dir -r requirements.txt; \
fi

# Expose port for a lightweight HTTP server to access docs/notebooks
EXPOSE 8000

# Build step: none required for this doc-heavy repository.
# Serve the repository contents over HTTP for quick inspection
CMD ["python", "-m", "http.server", "8000"]
WRITEWriteFile· step #2
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.dockerignore335 bytes written
▸dockerignore35 lines · 335 chars
# Ignore version control directories
.git/

# Byte-compiled / optimized / DLLs
__pycache__/
*.py[cod]

# Virtual environments
venv/
ENV/
env/
.env/
.venv/

# Dependency directories
node_modules/
dist/
build/

# Pytest cache
.pytest_cache/

# IDEs and editors
.idea/
.vscode/

# Logs and tmp
*.log
*.tmp
*.bak
*.orig

# macOS
.DS_Store
VERIFYVerifyBuild· step #3
36s
VerifyBuildrejected
Concerns: No build step: the Dockerfile only copies the repo and serves static files with Python's http.server; it does not build anything from source as requested by the criteria., COPY . /workspace copies the entire build context into the image without a .dockerignore; this can bloat the image and may include unnecessary or sensitive files., The approach is acceptable for quick inspection of docs/notebooks, but for a real build artifact you would typically want a proper build process or a dedicated runtime image.
WRITEWriteFile· step #4
0s
Dockerfile1025 bytes written
▸text32 lines · 1025 chars
FROM python:3.12.13-bookworm

# Set working directory inside the container
WORKDIR /workspace

# Copy repository contents
COPY . /workspace

# Ensure we have an up-to-date pip
RUN python -m pip install --no-cache-dir --upgrade pip

# Build step: generate a simple index.html listing repository files
RUN python - <<'PY'
import os
files_dir = 'files'
html_lines = ["<html><head><meta charset=\\"UTF-8\\"><title>Live ML Notes</title></head><body><h1>Live Machine Learning Class Notes</h1><ul>"]
if os.path.isdir(files_dir):
  for fname in sorted(os.listdir(files_dir)):
    full = os.path.join(files_dir, fname)
    if os.path.isfile(full):
      html_lines.append(f'<li><a href="{full}">{fname}</a></li>')
html_lines.append('</ul></body></html>')
with open('index.html', 'w', encoding='utf-8') as f:
  f.write('\n'.join(html_lines))
PY

# Expose port for a lightweight HTTP server to access docs/notebooks
EXPOSE 8000

# Serve the repository contents over HTTP for quick inspection
CMD ["python", "-m", "http.server", "8000"]
VERIFYVerifyBuild· step #5
1m 55s
VerifyBuildbuild_failed
▸Build error
- Exact error message and exit code
  - SyntaxError: unexpected character after line continuation character
  - exit code: 1

- Failing command/step
  - [5/5] RUN python - <<'PY'
    ... (here-doc with a Python script to generate index.html)
    did not complete successfully: exit code: 1

- Missing packages or files mentioned
  - None mentioned in the error output

- Version mismatch info
  - Base image: python:3.12.13-bookworm (sha256:b06e8541b66390dbe26e635448bfa51b6dd15cdc4d79c5dfd9cacdac8ec5ab91)
  - Pip upgrade occurred during the RUN: 
    - Initially: Requirement already satisfied: pip in /usr/local/lib/python3.12/site-packages (25.0.1)
    - After upgrade: Successfully installed pip-26.0.1
READReadFile· step #6
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Dockerfile1025 chars · 32 lines
▸text32 lines · 1025 chars
FROM python:3.12.13-bookworm

# Set working directory inside the container
WORKDIR /workspace

# Copy repository contents
COPY . /workspace

# Ensure we have an up-to-date pip
RUN python -m pip install --no-cache-dir --upgrade pip

# Build step: generate a simple index.html listing repository files
RUN python - <<'PY'
import os
files_dir = 'files'
html_lines = ["<html><head><meta charset=\\"UTF-8\\"><title>Live ML Notes</title></head><body><h1>Live Machine Learning Class Notes</h1><ul>"]
if os.path.isdir(files_dir):
  for fname in sorted(os.listdir(files_dir)):
    full = os.path.join(files_dir, fname)
    if os.path.isfile(full):
      html_lines.append(f'<li><a href="{full}">{fname}</a></li>')
html_lines.append('</ul></body></html>')
with open('index.html', 'w', encoding='utf-8') as f:
  f.write('\n'.join(html_lines))
PY

# Expose port for a lightweight HTTP server to access docs/notebooks
EXPOSE 8000

# Serve the repository contents over HTTP for quick inspection
CMD ["python", "-m", "http.server", "8000"]
WRITEWriteFile· step #7
0s
Dockerfile973 bytes written
▸text32 lines · 973 chars
FROM python:3.12.13-bookworm

# Set working directory inside the container
WORKDIR /workspace

# Copy repository contents
COPY . /workspace

# Ensure we have an up-to-date pip
RUN python -m pip install --no-cache-dir --upgrade pip

# Build step: generate a simple index.html listing repository files
RUN python - <<'PY'
import os
files_dir = "files"
lines = ['<html><head><meta charset="UTF-8"></head><body><h1>Live Machine Learning Class Notes</h1><ul>']
if os.path.isdir(files_dir):
  for fname in sorted(os.listdir(files_dir)):
    full = os.path.join(files_dir, fname)
    if os.path.isfile(full):
      lines.append(f'<li><a href="{full}">{fname}</a></li>')
lines.append('</ul></body></html>')
with open('index.html', 'w', encoding='utf-8') as f:
  f.write('\n'.join(lines))
PY

# Expose port for a lightweight HTTP server to access docs/notebooks
EXPOSE 8000

# Serve the repository contents over HTTP for quick inspection
CMD ["python", "-m", "http.server", "8000"]
VERIFYVerifyBuild· step #8
1m 18s
VerifyBuildaccepted
Smoke [PASS]: test -f index.html
Smoke [PASS]: python -m http.server 8000 & PID=$!; sleep 0.5; python -c 'import urllib.request; urllib.request.urlopen("http://127.0.0.1:8000/index.html"); print("ok")' ; kill $PID