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Remove unused deps and multi-stage Dockerfile with pip

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Drop transformers, matplotlib, geopy, and diskcache (~560MB) from
dependencies — none are imported in the codebase. Replace single-stage
poetry-based Docker build with a two-stage pip-based build: builder
stage installs into a venv from an exported requirements.txt, runtime
stage copies only the venv and app code. Eliminates poetry from the
image (fixes ARM segfaults) and removes ~200MB of build tools from
the final image.
This commit is contained in:
Viktor Barzin 2026-02-07 10:48:22 +00:00
parent c76a7ac028
commit 56a7662b8f
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GPG key ID: 0EB088298288D958
4 changed files with 1897 additions and 766 deletions
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46
crawler/Dockerfile
View file

@ -1,36 +1,38 @@
FROM python:3.13-slim
# Stage 1: Build dependencies
FROM python:3.13-slim AS builder
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
curl \
build-essential \
gcc \
python3-dev \
libopencv-dev \
libmariadb-dev \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY requirements.txt ./
# Install dependencies into a venv using pip (no poetry needed)
RUN python -m venv /app/.venv && \
/app/.venv/bin/pip install --no-cache-dir -r requirements.txt
# Stage 2: Runtime image
FROM python:3.13-slim
# Install only runtime system dependencies (no build tools)
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
tesseract-ocr \
tesseract-ocr-eng \
libmariadb-dev \
libmariadb3 \
&& rm -rf /var/lib/apt/lists/*
# Install Poetry
ENV POETRY_HOME=/opt/poetry \
POETRY_VIRTUALENVS_IN_PROJECT=true \
POETRY_NO_INTERACTION=1
RUN curl -sSL https://install.python-poetry.org | python3 - && \
cd /usr/local/bin && \
ln -s /opt/poetry/bin/poetry && \
poetry --version
WORKDIR /app
# Copy only the files needed for dependency installation
COPY pyproject.toml poetry.lock ./
# Install dependencies
RUN poetry install --only main --no-root
# Copy the venv from the builder stage
COPY --from=builder /app/.venv /app/.venv
ENV PATH="/app/.venv/bin:$PATH"
@ -38,10 +40,4 @@ ENV PATH="/app/.venv/bin:$PATH"
COPY . .
EXPOSE 5001
# Set the entry point (adjust to your CLI's entry point)
# ENTRYPOINT ["python", "/app/main.py"]
# ENTRYPOINT ["/app/runall.sh"]
# For local dev with docker-compose:
# CMD ["./start.sh"]
# For Kubernetes deployment:
CMD ["uvicorn", "api.app:app", "--host", "0.0.0.0", "--port", "5001"]

737
crawler/poetry.lock generated
View file

@ -953,83 +953,6 @@ files = [
[package.extras]
test = ["pytest"]
[[package]]
name = "contourpy"
version = "1.3.2"
description = "Python library for calculating contours of 2D quadrilateral grids"
optional = false
python-versions = ">=3.10"
groups = ["main"]
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]
[package.dependencies]
numpy = ">=1.23"
[package.extras]
bokeh = ["bokeh", "selenium"]
docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "types-Pillow"]
test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
[[package]]
name = "coverage"
version = "7.13.2"
@ -1195,22 +1118,6 @@ ssh = ["bcrypt (>=3.1.5)"]
test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
test-randomorder = ["pytest-randomly"]
[[package]]
name = "cycler"
version = "0.12.1"
description = "Composable style cycles"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
{file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
]
[package.extras]
docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
tests = ["pytest", "pytest-cov", "pytest-xdist"]
[[package]]
name = "debugpy"
version = "1.8.16"
@ -1271,18 +1178,6 @@ files = [
{file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
]
[[package]]
name = "diskcache"
version = "5.6.3"
description = "Disk Cache -- Disk and file backed persistent cache."
optional = false
python-versions = ">=3"
groups = ["main"]
files = [
{file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
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]
[[package]]
name = "dnspython"
version = "2.7.0"
@ -1421,89 +1316,6 @@ files = [
[package.extras]
devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
[[package]]
name = "filelock"
version = "3.18.0"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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]
[package.extras]
docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
[[package]]
name = "fonttools"
version = "4.58.4"
description = "Tools to manipulate font files"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "kernels (>=0.4.4,<0.5)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
ftfy = ["ftfy"]
hf-xet = ["hf-xet"]
hub-kernels = ["kernels (>=0.4.4,<0.5)"]
integrations = ["kernels (>=0.4.4,<0.5)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
modelcreation = ["cookiecutter (==1.7.3)"]
natten = ["natten (>=0.14.6,<0.15.0)"]
num2words = ["num2words"]
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
optuna = ["optuna"]
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
ray = ["ray[tune] (>=2.7.0)"]
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
ruff = ["ruff (==0.11.2)"]
sagemaker = ["sagemaker (>=2.31.0)"]
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
sigopt = ["sigopt"]
sklearn = ["scikit-learn"]
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
tiktoken = ["blobfile", "tiktoken"]
timm = ["timm (<=1.0.11)"]
tokenizers = ["tokenizers (>=0.21,<0.22)"]
torch = ["accelerate (>=0.26.0)", "torch (>=2.1,<2.7)"]
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "tqdm (>=4.27)"]
video = ["av"]
vision = ["Pillow (>=10.0.1,<=15.0)"]
[[package]]
name = "typer"
version = "0.16.0"
@ -6341,4 +5606,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">3.11"
content-hash = "208795363e3c025b8a10e5d89fdd6f052a9aba8451cb447e3f3bd6d367913caf"
content-hash = "cd44189465b77044fbd865afe2bf3126dd140e660f9d37e3633c812be6399e6f"

6
crawler/pyproject.toml
View file

@ -8,15 +8,11 @@ authors = ["Kadir Tugan <git@k8n.dev>"]
python = ">3.11"
requests = "^2.31.0"
cachetools = "^5.3.2"
diskcache = "^5.6.3"
tqdm = "^4.66.2"
pillow = "^10.2.0"
numpy = "^1.26.4"
transformers = "^4.38.2"
pytesseract = "^0.3.10"
pandas = "^2.2.1"
geopy = "^2.4.1"
matplotlib = "^3.10.0"
opencv-python = "^4.11.0.86"
click = "^8.2.0"
aiohttp = "^3.11.18"
@ -81,5 +77,5 @@ strict_optional = true
plugins = ["pydantic.mypy"]
[[tool.mypy.overrides]]
module = ["transformers.*", "pytesseract.*", "cv2.*", "celery.*", "tqdm.*", "aiohttp.*", "aiohttp_socks.*", "tenacity.*", "geopy.*", "pandas.*", "numpy.*", "PIL.*", "sqlmodel.*", "sqlalchemy.*", "alembic.*", "apprise.*", "opentelemetry.*", "webauthn.*"]
module = ["pytesseract.*", "cv2.*", "celery.*", "tqdm.*", "aiohttp.*", "aiohttp_socks.*", "tenacity.*", "pandas.*", "numpy.*", "PIL.*", "sqlmodel.*", "sqlalchemy.*", "alembic.*", "apprise.*", "opentelemetry.*", "webauthn.*"]
ignore_missing_imports = true

1874
crawler/requirements.txt Normal file
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