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chore(deps): bump the python-dependencies group across 1 directory with 4 updates #21

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chore(deps): bump the python-dependencies group across 1 directory with 4 updates #21

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8 changes: 4 additions & 4 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ description = "HERMES network monitoring and anomaly detection pipeline"
# `pip install` with a version gate rather than anything real.
requires-python = ">=3.11"
dependencies = [
"google-cloud-bigquery>=3.42.3",
"google-cloud-bigquery>=3.43.0",
# Arrow-based download path for tomography. WITHOUT this, the client logs
# "Storage Read API unavailable ... using REST download" and builds result
# frames from JSON rows instead of Arrow buffers. That is both far slower
Expand All @@ -26,10 +26,10 @@ dependencies = [
# inside a 28 GB cgroup, failing the whole 2025-08 backfill chunk.
# pyarrow is the wire format for that path — pin it here rather than relying
# on it arriving transitively via pandas/db-dtypes.
"google-cloud-bigquery-storage>=2.28.0",
"google-cloud-bigquery-storage>=2.40.0",
"pyarrow>=25.0.0",
"db-dtypes>=1.7.1", # required by bigquery .to_dataframe() for DATE/TIME columns (download_edges)
"google-auth>=2.56.2",
"google-auth>=2.56.3",
"pandas>=3.0.5",
"requests>=2.34.2",
"geopy>=2.5.0",
Expand All @@ -42,7 +42,7 @@ dependencies = [

[project.optional-dependencies]
plot = ["matplotlib>=3.11.1", "geopandas>=1.1.4", "folium>=0.20.0"]
dev = ["ruff>=0.16.1", "mypy>=2.3.0", "pytest>=9.1.1", "pre-commit>=4.6.1", "pandas-stubs", "types-requests", "pyarrow>=25.0.0"]
dev = ["ruff>=0.16.2", "mypy>=2.3.0", "pytest>=9.1.1", "pre-commit>=4.6.1", "pandas-stubs", "types-requests", "pyarrow>=25.0.0"]

[project.scripts]
hermes-pipeline = "hermes.pipeline.union:main"
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2 changes: 1 addition & 1 deletion requirements.txt
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@@ -1,4 +1,4 @@
google-cloud-bigquery>=3.42.3
google-cloud-bigquery>=3.43.0
pandas>=3.0.5
requests>=2.34.2
geopy>=2.5.0
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