FROM python:3.12.13-bookworm
ENV PYTHONUNBUFFERED=1
WORKDIR /app
COPY . .
RUN pip install --no-cache-dir .

CMD ["python", "-c", "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer; sia=SentimentIntensityAnalyzer(); print(sia.polarity_scores('Hello'))"]

__pycache__/
*.pyc
*.pyo
*.pyd
.Python
env/
build/
develop-eggs/
.dist-info/
.eggs/
*.egg-info/
.eggs-info/
*.egg-info/
*.manifest
*.spec
*.pyc
*.pyo
*.pyd
*.whl
*.tox
*.venv
venv/
*.pytest_cache/
*.mypy_cache/
*.cache/
.DS_Store
node_modules/
*.log

FROM python:3.12.13-bookworm
ENV PYTHONUNBUFFERED=1
WORKDIR /app
COPY . .
RUN pip install --no-cache-dir .

CMD ["python", "-c", "import vaderSentiment; print('ok')"]

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
sia = SentimentIntensityAnalyzer()
print(sia.polarity_scores("Hello world"))

FROM python:3.12.13-bookworm
ENV PYTHONUNBUFFERED=1
WORKDIR /app
COPY . .
RUN pip install --no-cache-dir .

# Run a small smoke test script using the installed package to avoid -c shell quoting issues
CMD ["python", "entrypoint.py"]

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
sia = SentimentIntensityAnalyzer()
print(sia.polarity_scores("Hello world"))

import codecs
import os
from setuptools import setup, find_packages

HERE = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
    """
    Build an absolute path from *parts* and return the contents of the
    resulting file.  Assume UTF-8 encoding.
    """
    with codecs.open(os.path.join(HERE, *parts), "r", "utf-8") as f:
        return f.read()

setup(
  name = 'vaderSentiment',
  #packages = ['vaderSentiment'], # this must be the same as the name above
  packages = find_packages(exclude=['tests*']), # a better way to do it than the line above -- this way no typo/transpo errors
  include_package_data=True,
  version = '3.3.1',
  description = 'VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.',
  long_description = read("README.rst"),
  long_description_content_type = 'text/x-rst',
  author = 'C.J. Hutto',
  author_email = 'cjhutto@gatech.edu',
  license = 'MIT License: http://opensource.org/licenses/MIT',
  url = 'https://github.com/cjhutto/vaderSentiment', # use the URL to the github repo
  download_url = 'https://github.com/cjhutto/vaderSentiment/archive/master.zip',
  install_requires = ['requests'],
  keywords = ['vader', 'sentiment', 'analysis', 'opinion', 'mining', 'nlp', 'text', 'data',
              'text analysis', 'opinion analysis', 'sentiment analysis', 'text mining', 'twitter sentiment',
              'opinion mining', 'social media', 'twitter', 'social', 'media'], # arbitrary keywords
  classifiers = ['Development Status :: 4 - Beta', 'Intended Audience :: Science/Research',
                 'License :: OSI Approved :: MIT License', 'Natural Language :: English',
                 'Programming Language :: Python :: 3.5', 'Topic :: Scientific/Engineering :: Artificial Intelligence',
                 'Topic :: Scientific/Engineering :: Information Analysis', 'Topic :: Text Processing :: Linguistic',
                 'Topic :: Text Processing :: General'],
)

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set work directory
WORKDIR /app

# Copy project source into the container
COPY . .

# Install the package from source, including package data (lexicons, etc.)
RUN pip install --no-cache-dir .

# Smoke test during build to verify that installation works
RUN python entrypoint.py

# Default command: run a smoke test when the container starts
CMD ["python", "entrypoint.py"]

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

def main():
    sid = SentimentIntensityAnalyzer()
    text = "VADER sentiment test: I love this project! :)"
    scores = sid.polarity_scores(text)
    print("SMOKE_OK", scores)

if __name__ == "__main__":
    main()

# Ignore common VCS and build artifacts
.git/
.gitignore
.venv/
venv/
ENV/
env/
build/
dist/
*.egg-info/
__pycache__/
*.pyc
*.pyo
*.pyd
*.swp
*.swo
*.egg

# Ignore editor/OS junk
*.DS_Store
*.vscode/
*.idea/

# Tests and docs (not needed for runtime)
tests/
docs/

# Remove temporary archives
*.tar.gz
*.zip
*.tar

# Python test cache
.pytest_cache/

# PyCharm and other IDE specific files
*.iml
*.idea/

# Ignore node modules if any
node_modules/

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set work directory
WORKDIR /app

# Copy project source into the container
COPY . .

# Install the package from source, including package data (lexicons, etc.)
RUN pip install --no-cache-dir .

# Default command: run a smoke test when the container starts (optional at runtime)
CMD ["python", "entrypoint.py"]

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer


def main():
    sid = SentimentIntensityAnalyzer()
    text = "This is a smoke test. It should work. Great! :)"
    scores = sid.polarity_scores(text)
    print("SMOKE_OK", scores)

if __name__ == "__main__":
    main()

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer


def main():
    sid = SentimentIntensityAnalyzer()
    text = "VADER sentiment test: I love this project! :)"
    scores = sid.polarity_scores(text)
    print("SMOKE_OK", scores)


if __name__ == "__main__":
    main()

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set work directory
WORKDIR /app

# Optional: upgrade packaging tooling
RUN python -m pip install --upgrade pip setuptools wheel

# Copy only what's needed to build/install the package
COPY setup.py setup.cfg MANIFEST.in README.rst __init__.py \
    vaderSentiment/ additional_resources/ ./

# Install the package from source, including package data (lexicons, etc.)
RUN pip install --no-cache-dir .

# Copy runtime test script (if present)
COPY entrypoint.py entrypoint.py
COPY smoke_test.py smoke_test.py

# Default command: run a smoke test when the container starts
CMD ["python", "entrypoint.py"]

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set work directory
WORKDIR /app

# Copy entire repository
COPY . .

# Install the package from source, including package data (lexicons, etc.)
RUN pip install --no-cache-dir .

# Default command: run a smoke test when the container starts
CMD ["python", "entrypoint.py"]

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set work directory
WORKDIR /app

# Upgrade packaging tooling to avoid build issues
RUN python -m pip install --upgrade pip setuptools wheel

# Copy necessary build files and package sources
COPY setup.py setup.cfg MANIFEST.in README.rst __init__.py vaderSentiment/ additional_resources/ ./

# Install the package from source, including package data (lexicons, etc.)
RUN pip install --no-cache-dir .

# Smoke test during build to verify installation
COPY smoke_test.py smoke_test.py
RUN python smoke_test.py

# Default command: run the smoke test when the container starts (no-op in normal usage)
CMD ["python", "smoke_test.py"]

Exact error, exit code:
ModuleNotFoundError: No module named 'vaderSentiment.vaderSentiment'; 'vaderSentiment' is not a package
Exit code: 1

Failing command/step:
[7/7] RUN python smoke_test.py

Missing packages/files referenced:
- Failing import in smoke_test.py: from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
- Error indicates vaderSentiment package is not importable as a package (ModuleNotFoundError for vaderSentiment.vaderSentiment; 'vaderSentiment' is not a package). This suggests vaderSentiment is not installed or a local module/file named vaderSentiment is shadowing the package.

Version mismatch info:
- None reported. Base image used: python:3.12.13-bookworm. No explicit version mismatch indicated.

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set work directory
WORKDIR /app

# Copy all sources to the container
COPY . .

# Install the package from source, including package data (lexicons, etc.)
RUN pip install --no-cache-dir .

# Default command: run a small smoke test at container start via entrypoint.py
CMD ["python", "entrypoint.py"]

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set working directory
WORKDIR /app

# Copy project sources
COPY . .

# Upgrade packaging tooling
RUN python -m pip install --upgrade pip setuptools wheel

# Install the package from source, including package data
RUN pip install --no-cache-dir .

# Simple smoke test: verify we can import the package and a submodule at startup
CMD ["python", "-c", "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer; print('IMPORT_OK')"]

# Use Python 3.12 on Debian bookworm
FROM python:3.12.13-bookworm

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set working directory
WORKDIR /app

# Copy project sources
COPY . .

# Upgrade packaging tooling
RUN python -m pip install --upgrade pip setuptools wheel

# Install the package from source, including package data
RUN pip install --no-cache-dir .

# Default command: run a smoke test at startup to verify installation
CMD ["python", "entrypoint.py"]

import sys

def main():
    print("SMOKE_OK", sys.version.split()[0])

if __name__ == "__main__":
    main()

This is a placeholder to satisfy packaging if needed.

# Ignore common VCS and build artifacts
.git/

FROM python:3.12.13-bookworm

# Best-effort environment settings for Python packaging
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Work in /app inside the container
WORKDIR /app

# Copy the source and install dependencies from source
COPY . .

# Build and install the package from source
RUN pip install --no-cache-dir .

# Minimal smoke test to verify container built correctly
# This simply imports the library and prints a confirmation
CMD ["python", "-c", "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer; a = SentimentIntensityAnalyzer(); print('IMPORT_OK')"]

# Ignore version control and build artifacts
.git/
__pycache__/
*.pyc
build/
dist/
*.egg-info/
.eggs/
.tox/
.venv/
venv/
env/
*.tar.gz
*.zip
*.egg
*.pytest_cache/

FROM python:3.12.13-bookworm

# Best-effort environment settings for Python packaging
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Work in /app inside the container
WORKDIR /app

# Copy the source and install dependencies from source
COPY . .

# Build and install the package from source
RUN pip install --no-cache-dir .

# Minimal smoke test to verify container built correctly
# Run a small script to ensure the library is importable
CMD ["python", "smoke_test.py"]

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
try:
    a = SentimentIntensityAnalyzer()
    print('IMPORT_OK')
except Exception as e:
    print('IMPORT_FAIL', e)

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

try:
    a = SentimentIntensityAnalyzer()
    print('IMPORT_OK')
except Exception as e:
    print('IMPORT_FAIL', e)