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59 changed files with 68 additions and 18712 deletions
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@@ -18,9 +18,6 @@
.git/**
.github
.github/**
!.github/requirements/
!.github/requirements/explorer-extra-py313.txt
!.github/requirements/pep517-build.txt
.claude
.claude/**
.codex
@@ -1,56 +0,0 @@
name: 'Setup Semantica'
description: 'Install Python, cache pip, and install the semantica package into a workflow'
author: 'Semantica'
inputs:
python-version:
description: 'Python version to set up'
required: false
default: '3.11'
version:
description: 'Version constraint to append to the pip spec, e.g. "==0.6.7" or ">=0.6,<0.7". Leave empty for the latest release.'
required: false
default: ''
extras:
description: 'Comma-separated extras to install, e.g. "explorer,all"'
required: false
default: ''
cache:
description: 'Pip cache mode passed straight to actions/setup-python ("pip" to enable). Left empty (disabled) by default because this action is meant to run standalone in any caller repo, and actions/setup-python errors out if it cannot find a requirements.txt/pyproject.toml/setup.py/poetry.lock to key the cache on. Opt in only when the caller repo has one of those files.'
required: false
default: ''
outputs:
version:
description: 'The installed semantica version'
value: ${{ steps.verify.outputs.version }}
runs:
using: 'composite'
steps:
- uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7
with:
python-version: ${{ inputs.python-version }}
cache: ${{ inputs.cache }}
- name: Install semantica
shell: bash
env:
SEMANTICA_EXTRAS: ${{ inputs.extras }}
SEMANTICA_VERSION: ${{ inputs.version }}
run: |
python -m pip install --upgrade pip
if [ -n "$SEMANTICA_EXTRAS" ]; then
spec="semantica[$SEMANTICA_EXTRAS]$SEMANTICA_VERSION"
else
spec="semantica$SEMANTICA_VERSION"
fi
python -m pip install -- "$spec"
- name: Verify install
id: verify
shell: bash
run: |
VERSION=$(python -c "import semantica; print(semantica.__version__)")
echo "Installed semantica $VERSION"
echo "version=$VERSION" >> "$GITHUB_OUTPUT"
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@@ -101,29 +101,6 @@ updates:
allow:
- dependency-type: "production"
# Explorer frontend (npm)
- package-ecosystem: "npm"
directory: "/explorer"
schedule:
interval: "weekly"
day: "monday"
time: "03:30" # 3:30 AM UTC (9:00 AM IST)
open-pull-requests-limit: 10
reviewers:
- "KaifAhmad1"
assignees:
- "KaifAhmad1"
commit-message:
prefix: "security"
include: "scope"
labels:
- "dependencies"
- "javascript"
- "security"
allow:
- dependency-type: "production"
- dependency-type: "development"
# Docker dependencies (if you use Docker)
- package-ecosystem: "docker"
directory: "/"
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@@ -1,58 +0,0 @@
# CI tool requirements
Hash-pinned `pip install` targets for CI/release/Dockerfile steps that install
something other than the project's own audited `requirements-ci.txt` set.
These exist because OpenSSF Scorecard's Pinned-Dependencies check flags any
`pip install` in a workflow or Dockerfile that isn't hash-verified, and
`requirements-ci.txt` alone doesn't cover build/release/security tooling or
the project's own local-source install.
Each `.txt` was generated from the adjacent `.in` (or, for `explorer-extra-py311.txt`,
`explorer-extra-py313.txt`, and `base-deps.txt`, from `pyproject.toml` directly) with:
```
uv pip compile <input> --python-version 3.11 --python-platform linux \
--constraint requirements-ci.txt --generate-hashes -o <output>.txt
```
(`--constraint requirements-ci.txt` is omitted for `bootstrap.txt`,
`build-tools.txt`, `uv-tool.txt`, `twine.txt`, `pip-audit.txt`, and
`security-scan-tools.txt`, since those install standalone tooling with no
version relationship to the project's own dependency tree.)
Regenerate a file the same way after bumping a pinned version, and re-run it
whenever `requirements-ci.txt` changes if the file used `--constraint` (see
each file's own autogenerated header comment for its exact command).
| File | Used by | Installs |
| --- | --- | --- |
| `bootstrap.txt` | security.yml, security-scan.yml, benchmark.yml | pip, setuptools (upgrade before anything else) |
| `pep517-build.txt` | ci.yml, benchmark.yml, Dockerfile | exact `[build-system] requires` from `pyproject.toml` (setuptools, wheel) - installed with `--no-build-isolation` before any `pip install -e .` / `pip install .`, since `--no-deps` alone doesn't stop pip's PEP 517 build isolation from fetching those two *unhashed* |
| `explorer-extra-py311.txt` | ci.yml | semantica's base deps + the `explorer` extra, resolved for python 3.11 |
| `explorer-extra-py313.txt` | Dockerfile | the same, resolved for python 3.13 (the image's actual interpreter) |
| `pytest-tool.txt` | ci.yml | pytest, for the pre-all-extras deterministic test |
| `uv-tool.txt` | ci.yml | uv, to verify requirements-ci.txt is current |
| `build-tools.txt` | ci.yml, release.yml | build, wheel |
| `twine.txt` | release.yml | twine |
| `pip-audit.txt` | security.yml | pip-audit |
| `security-scan-tools.txt` | security-scan.yml | safety, bandit, semgrep, jq |
| `base-deps.txt` | benchmark.yml | semantica's base deps (no extras) |
| `benchmark-extra.txt` | benchmark.yml | the benchmark-only libs (neo4j, pdfplumber, etc.) |
`explorer-extra-py31{1,3}.txt` and `base-deps.txt` are large (they mirror
most of `requirements-ci.txt`) because semantica's `dependencies` list in
`pyproject.toml` isn't extras-gated - installing the package at all pulls
the full base set. That's expected, not a mistake.
`explorer-extra-py311.txt` and `explorer-extra-py313.txt` are **not**
interchangeable, and can't be collapsed into one file compiled for either
version: `librosa`'s `audioread` dependency needs `standard-aifc` /
`standard-sunau` only under `python_version >= "3.13"` (Python 3.13 dropped
`aifc`/`sunau` from stdlib). A file resolved for 3.11 simply omits those
packages' hashes, so installing it with `--require-hashes` on a real 3.13
interpreter (the Dockerfile's base image) fails outright rather than
silently under-pinning. Any other file shared across a 3.11 and 3.13
consumer would need the same split if it hits a similar stdlib-removal
edge case - check for `ERROR: In --require-hashes mode, all requirements
must have their versions pinned` on the *other* Python version before
assuming one `--python-version` covers every consumer.
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rdflib
neo4j
faiss-cpu
torch
pyarrow
pdfplumber
python-pptx
openpyxl
lxml
python-docx
beautifulsoup4
chardet
langdetect
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pip
setuptools
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# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/bootstrap.in --generate-hashes --python-version 3.11 --python-platform linux -o .github/requirements/bootstrap.txt
pip==26.2.1 \
--hash=sha256:71138adf1f4ca900cdb7d289c21b7494329f2332b6d85f0e1c42108c0384ed3e \
--hash=sha256:f6ad667e89a1fe78046c8f13232b247200f5258d7828f3f7883d660878e0813f
# via -r .github/requirements/bootstrap.in
setuptools==84.0.0 \
--hash=sha256:51a52592b3b99e102b609654876bd65f19f999935166d1352678931132b0c670 \
--hash=sha256:f4695c21257f0d9b537ec2692c941d02ee143b7cc1276941349a546573b2ef73
# via -r .github/requirements/bootstrap.in
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build==1.6.0
wheel==0.48.0
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@@ -1,20 +0,0 @@
# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/build-tools.in --generate-hashes --python-version 3.11 --python-platform linux -o .github/requirements/build-tools.txt
build==1.6.0 \
--hash=sha256:bd2c8afc603e7a2e0ce70e2ea85f0a6d02043bafbd307f5bada0f98669eca5af \
--hash=sha256:f7aaf1ebbb79178a02ba248bb524f2176b256017e17e8e4bd4289c7b38cc2bad
# via -r .github/requirements/build-tools.in
packaging==26.3 \
--hash=sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79 \
--hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
# via
# build
# wheel
pyproject-hooks==1.2.0 \
--hash=sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8 \
--hash=sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913
# via build
wheel==0.48.0 \
--hash=sha256:3217dcc807155e45db462d7ef2431f5ddda0d7273b700d05a67b271ceb1287ab \
--hash=sha256:94800765601e9171bf5d58d066e640662842bcedcbab982b2c90787a2c987322
# via -r .github/requirements/build-tools.in
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checkov==3.3.1
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setuptools==84.0.0
wheel==0.48.0
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# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/pep517-build.in --generate-hashes --python-version 3.11 --python-platform linux -o .github/requirements/pep517-build.txt
packaging==26.3 \
--hash=sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79 \
--hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
# via wheel
setuptools==84.0.0 \
--hash=sha256:51a52592b3b99e102b609654876bd65f19f999935166d1352678931132b0c670 \
--hash=sha256:f4695c21257f0d9b537ec2692c941d02ee143b7cc1276941349a546573b2ef73
# via -r .github/requirements/pep517-build.in
wheel==0.48.0 \
--hash=sha256:3217dcc807155e45db462d7ef2431f5ddda0d7273b700d05a67b271ceb1287ab \
--hash=sha256:94800765601e9171bf5d58d066e640662842bcedcbab982b2c90787a2c987322
# via -r .github/requirements/pep517-build.in
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pip-audit==2.10.1
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@@ -1,423 +0,0 @@
# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/pip-audit.in --generate-hashes --python-version 3.11 --python-platform linux -o .github/requirements/pip-audit.txt
boolean-py==5.0 \
--hash=sha256:60cbc4bad079753721d32649545505362c754e121570ada4658b852a3a318d95 \
--hash=sha256:ef28a70bd43115208441b53a045d1549e2f0ec6e3d08a9d142cbc41c1938e8d9
# via license-expression
cachecontrol==0.14.4 \
--hash=sha256:b7ac014ff72ee199b5f8af1de29d60239954f223e948196fa3d84adaffc71d2b \
--hash=sha256:e6220afafa4c22a47dd0badb319f84475d79108100d04e26e8542ef7d3ab05a1
# via pip-audit
certifi==2026.7.22 \
--hash=sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775 \
--hash=sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55
# via requests
charset-normalizer==3.5.1 \
--hash=sha256:00668ebb0609751758682eb0b5857e7c35b9f00e84dfdef062e103244ec94d45 \
--hash=sha256:012a22b88a77ca2e59b98ac5889b0deb604147666032f45e6d6e217634d2550d \
--hash=sha256:01e93745f7f219b703b60ba7afead36cfc4242782be5af484673fc500df12da5 \
--hash=sha256:04368edf83514385ffc3e1cfd4546e595f4f1272dd23ba437a93a9cc3741d47b \
--hash=sha256:0722590aabf9dc6a6c0343d523c05458fa2b5047dbe6302fd526bb570600753f \
--hash=sha256:07ffd07412fc5d5e84cd8952acf9ff7e4ed7a708e69d1bada19d8ba91711353f \
--hash=sha256:09a7bba9f739468c8e78c36a75c33768e53cb1959fc638f510454c14683f00d5 \
--hash=sha256:0b2b1b3fa5670c127b246df1d0c059defd41f689a868a3b9d79df9b1cac42d22 \
--hash=sha256:0c6dfb5ca6723eeed15aa8e564a014d69fcb8812f94eef11fe3631e0508199f5 \
--hash=sha256:0d929fc574b4d6fd9e7c0f5c2ede8716a41911923aa7fa5fce38e0818aa4a1ac \
--hash=sha256:13e3afe97712e8887cd516e960c63f0b93122971e5b5e4b2622fe7701771e838 \
--hash=sha256:15f024313246a4ed976c60f440bb8d257815513a681d212ff74fd46f7d715a90 \
--hash=sha256:195ce897c6153c0700078142cf8efe3e6454ca4cf4357499e4078dfd83396626 \
--hash=sha256:19a3dd5aa73cef1c99687c4fc57db016a9c17104ae1185da88ba566a5d3bebe4 \
--hash=sha256:1d1c7a53a6c2103925cdd6d7229f8c567379f211c869793df679f2e9f738c369 \
--hash=sha256:1f5883d77fd409a261abb5dc8ccbe335720d798b1de4abb3b1d47ccbbc76b53b \
--hash=sha256:21b82d8082f6f5e7f456ef0bd16323d08de1266efbfeb476e64b2a91d1471a4e \
--hash=sha256:252d099029bcbea642f2a06c4ed5046bdf8b5a8150b64afa5e027e88b106e5ee \
--hash=sha256:256dd4d85d9e4dc595e2bc983c980e73f62ddeb3165c58b4c3dfe78c5c8548c1 \
--hash=sha256:26422d45fd13551cf564c58932f7d72b4f58b93b0fcf18c35ba6be12b46bb102 \
--hash=sha256:2679de311c7946dde5d3b6f44941844133ff5c7cb86099c0061ab1e8901c20a8 \
--hash=sha256:29880d17a8eb0b5cfdfd8944b468322928059aa35f1f5fa8ff22b149ec0b42f8 \
--hash=sha256:2bced4061f000f7187254a02ad3433ae17eaf991747ceea2f478422590a5bba9 \
--hash=sha256:2e9cf9253119d8e5d111f05d71626786fd3d6193817316eab1ca088cdb8593cf \
--hash=sha256:2f06b7eae9dbe77fe1d644ca244dad508de8d302870a43f3c559b521270938a0 \
--hash=sha256:2f293479cce755c75f1697e87c409b7ae4c555c7dfecb6e988ad13abba943031 \
--hash=sha256:329fc3ccb63ad22d867d84c2adea759a64079a37ba4a343433b02c7a2816871e \
--hash=sha256:343fb4f2821043bd87095f7b08a1a181febc8e36ac64212143bbfd0a0e1bc235 \
--hash=sha256:3588e376b3ea2eea84976f67273d679f229e24c66dce7b82ae45aef04ff6e072 \
--hash=sha256:35aea775dc2bd5f54cd84a1cd2696cc3207c479cb9cf0bd346f0d343e4300ddb \
--hash=sha256:35fe081843b35aad20ffeccec3eeffbe637b15d14f3fb22cc1b59cd8ec17e93c \
--hash=sha256:36047af20e17097c3bb9476c2b7655f2f7aa51322c0ba58c07695bedf755a950 \
--hash=sha256:3617ac3cfd8b9888f145ad89dd6e692285834b0201c6074a5eeaad3fd4d668c2 \
--hash=sha256:366ec70f5547c640d3ce1985722490f23faf4eb5216a7eeba78277490e78dacb \
--hash=sha256:394fea06235c8543390050ed5f529187074b029fb027213f6c46ac11ab5d950e \
--hash=sha256:3d27167433c0d5f18dc850f07d0b3816221984fecdc405d6c157a6f0b8f8e9e6 \
--hash=sha256:3e5e1224c0a6a90e05843e07adfec669edebec17801c67072f51e59561d63c0b \
--hash=sha256:41876ee62a3dddf48ff1121ad8f0798032aa03f2fd35f21f34a4cab14f18d8d2 \
--hash=sha256:433c5a81eade63b47e522303bad236f59dba55ea6951746f5558355eeed8c75d \
--hash=sha256:4582c27e8c889d64811987b5967fbd3ae0c823fe1fd933b543d55ac20bb475fa \
--hash=sha256:485a0d363cafefcd2538a73c7c838daa2035f09b2c9f9b5e3133f80c6aeb84c2 \
--hash=sha256:494b70049a4d69aec6e8137c13af4cf8db8c9f9820a1392ac293b0dd2987a818 \
--hash=sha256:496846868fea80e479324862fa877f02411f2fd0f83b79ccee2607aa68b2a032 \
--hash=sha256:4abdc5f9ad448c1ecbfae2974b820535d6bc6e7eef63babbab3d81cf46968c71 \
--hash=sha256:4b599739b93b2cbeded49645ae3c8d1405c29ddfbceac1545c87a3f9580a9e96 \
--hash=sha256:4bea7f8ebe90bbd7f0e4a2de42ca6924ba23e3e76418c408ff82f1d46fabd687 \
--hash=sha256:4c4fb141a727957c93edfe5c32a26ceb6b5f6461d67146e2d39f51e16170bea8 \
--hash=sha256:4c9548dc78002099910abaebc0a72ac58b7d30931869e0351c09b507dff4ece3 \
--hash=sha256:4d26f14f041e83dd8edfd61f4cd4fa7285d31798b5bf1f28e70c367ba6c41d61 \
--hash=sha256:4f298bdadb8f0b9e5672877f647d1be9373ef5320c9e2f049795e26cad28b6a9 \
--hash=sha256:52ec005752a56ae79547a05c0139ca2501a0c866390b6115008456b9f0e7cde1 \
--hash=sha256:55261ac0d2941c42f196dd576f543d87a8ee03cd6f5e30dfb4d807b2e3b9121a \
--hash=sha256:56490c595a28b1bb27dfc583e816152a9767721ef58b2c03b13f954d2f707420 \
--hash=sha256:58d3e12c88e0950bca850ae1f7c256055c097639c2edb9eb123af9807d8b15e4 \
--hash=sha256:58d4aa13a59c969dbfdf9e6a9560e242cbfd9e8a8f50c2747714df1a423adf65 \
--hash=sha256:59171c6e45bf07d0d5cab3b0bf81d945035530f6873398b3b531c31184d46663 \
--hash=sha256:5b6d1386bf0096d26d3a863dc0a487a5b4eb9aa93cf5ba69683d29dde6b9d60f \
--hash=sha256:5c0ea61a470e070686aa30892fed79e297d2c8d0ab46b8bcdf027d38c51da591 \
--hash=sha256:5c84bec0ab5ae0c64bfe73a7d2adcb5ce73b467523fc27fd6a28ab2aa6cbe35a \
--hash=sha256:5ca0555312ae2fe82715cada7fac375530c2f3349e1eaa1bcb33d0283ac79a18 \
--hash=sha256:5d8531a6569d025f68e2321e7638fb7978f23db58e5f69f56913837aae03816e \
--hash=sha256:5e2d0e146dcb57034f8b97dc58d2d512cb90aba253960ce449f695fec6a82c6f \
--hash=sha256:5fc45d653ea8c9a20479167e11d4a0f8cb2fa3470737ab6f9c827532313187b7 \
--hash=sha256:6117b84ea48435e5356dc737f5121485c30920ba43375fa7b434fd753df0eac3 \
--hash=sha256:6199d5606e2bbf2b096cf64d03f8b6790c91081d5ac866b8e7bb6422738cc60c \
--hash=sha256:62b55f6722735a6c472f88361cde6640608773d9443cebdbb51abf436a1fcdd3 \
--hash=sha256:687c9ca3035544b113bea2055e180af96fb63c0c476e22a9180f51925186e7b7 \
--hash=sha256:6b7430cf5728e68f6c462254009a6ef4086e1bea43cf2f57aa9c55fb4f50ff96 \
--hash=sha256:6ba32c4d2abf1d2fe7cf27d280f4cca5664233b0f885549c7761719eb977f486 \
--hash=sha256:6c9cdde8becb25a7fde49924511aa2644d6f8081cc8df8e9452724303348d8e3 \
--hash=sha256:6df0ec430f9a831772c23ca5a224cba36517a58a84bb32c32bb59a9fa67c47f6 \
--hash=sha256:6e2912d4babbc65196ac13c2f53468dc57fb8b9c25ef913e8c59ddf7c6dc0e1b \
--hash=sha256:6e5e4d73d588ca5ed09df1b7dcd1b203d1df3c542e3f50d126c947d432b10731 \
--hash=sha256:70055ff39b97c99e7ae40ea3e393fb62aa2e44dbd9b29f8d14f42fb0025c3959 \
--hash=sha256:706bfd38730a5ac7a365793269a00f4e988178cec121391f4248d84ad8c972e9 \
--hash=sha256:7235dc28fc6dd9d832ac7c7bce95367dedb85929f17368a0c2bee1e080b9acbf \
--hash=sha256:774d157f112367ff4abd29019f38f023c24e00e56edc7829c20e358a5a913ad8 \
--hash=sha256:77efcff2b23071c349402ac1066667a3d011f62398d81408c9b88ad991747c9e \
--hash=sha256:789b8982559ae28dad2356519f841655756cdcd96616410590ae0b17454ee64f \
--hash=sha256:7ac76cf9afd34929d76eb7fcb63be476a4853d8a96f0dcf2d0db68a0cbdf9885 \
--hash=sha256:7c0c10730342b0c9b35dd1d619beb8214e520bd96a1f870f452680b238aab3e0 \
--hash=sha256:823f82903d189af463d7df250ef1f7f696f3cee08cc8d91deb565e8d425f6506 \
--hash=sha256:838648accb3a7fd9803fd45c87bce8509648eb0c11bc34e216141300977244f2 \
--hash=sha256:854066be00447fa8de2ccbbe893e2ffc4b123ef16d897af794c1e18bd4a714b0 \
--hash=sha256:85d5855daafc240cc045c026d7a15fd198a09b0fc8ff6f5ecbb5297b509cb11e \
--hash=sha256:85de3134b5379856e323ba37c19c9256d39425f7b76a63af52b09fb4664c2e8f \
--hash=sha256:87e4f41d375c0b9be2fb5251aee4b8a689169e134535aed81bf085c3b647451e \
--hash=sha256:88ca277405c2d3b71c4e1c2ee0e7966e807bcba86a69d11e19ba199d18ae4491 \
--hash=sha256:88e85ab89cb822c1e635f51d6d32e488f94e002e70e2f492bdb8b945543f345a \
--hash=sha256:8ac8c94b6539074e0f40899301273ac8402b9b3e01c7b7ba269ff30340aaaf20 \
--hash=sha256:8fe532b3c966d1fb794e0698e4589d0444017ae77fc0b31edea13c0e35bcc449 \
--hash=sha256:9085f87b0e38a2b92b8923059b4e8789fe40d9279712d15dcc670048d77079af \
--hash=sha256:90b7481fb62fbe172c558bc6fd1c4c98d82004a54a7551f20e11ac9bf0b8708c \
--hash=sha256:92caef967d287a407085d61176fce4012b1dd62daed4eb6d5ceb26d3d2538712 \
--hash=sha256:9362dd90aa7dab48c0054a21187791ccf05473f7dba5d92b8033ae62164675e7 \
--hash=sha256:94d78ecec2605a8d0398b0f365d5f12a63248438516f5dac536a5eff7337df4a \
--hash=sha256:94fbf1c0c6cc0d3d5e50f9a9313a8cdca90dd696d34b381cd1704f8c9e939f20 \
--hash=sha256:950f23cb393f85543777b0433f082cddd25b51ab398eac7971146495679efe5f \
--hash=sha256:96eefc178f8636b9c760c5829345307fd81cfae9ab1e80997dbddeb0f54ee9a3 \
--hash=sha256:96fef3e886d6a9874b14f27fc193fbdc69d5d8035783d86aa4e1cea594e695f9 \
--hash=sha256:977cdbd483a9cff38179bea4fd754289a6f2195c7abd414aba85410b3e66cc5e \
--hash=sha256:978eab16f55b4ab2c2a745be9a0a840bf8f09a7f227d9c76eb30214d078865a5 \
--hash=sha256:994e883d17c559cdfd38c84003c8b27d25424a1077272a17e7cd27bfe0bf57b2 \
--hash=sha256:9ac4444d8d4fd4c4bd08bf451ed3167aa9e7ec6cdb41b648794f1d1103652e36 \
--hash=sha256:9b5db6052055d34d41230fb78d7c439c23dc536a9896f6cb039e8dd92cfc1263 \
--hash=sha256:9d9a0dc7cbe9bec24c3f767c9122c41fe5a1bc43f47cd099d00d393e09769de4 \
--hash=sha256:9dbdd9205662134957cf0c324f639bdc5031c0ca056e2369e238db75187c0f11 \
--hash=sha256:9eea3ab2597a5e65fe65296e2d6a84570845a6b55532d90333d740d48bbc850a \
--hash=sha256:a2028475ba855475b8b4d3cfeb4994269c967aea8b9892dfba907f4263a863a3 \
--hash=sha256:a3a370082ce34d0612f421e15fe011c53bb1feff21a26d06ad4fb244dab5a375 \
--hash=sha256:a545775cfe815855ea32d7c27731d79da358ef2055b4a25830231b1622dd18aa \
--hash=sha256:a5cbd90ecf0fc62e64726917ad083b73001f0563657a87ec3c0b504e277dc90d \
--hash=sha256:a6d095662e73e74f0a49988e0593373e243e3a52e27bfeea0a859e88acf4a0f5 \
--hash=sha256:a6dac12ff6b846103483683f60c5f8fee205121adc58ffd87e90a90a3af69e99 \
--hash=sha256:a951ad59cad9145664a730d3036b40b844e74d2d3683da40111463cd3a83845d \
--hash=sha256:aa1099b956fb795e686d073568f6dc002a0bb89765ea6d5b055dd7d9bf1b116c \
--hash=sha256:aa2bb0b37202dca27175591f761108b5d34096ade1191ffe4808bdf6b1571488 \
--hash=sha256:aae2ee51122d3ae968a3837d97dc24a0aeebb0dea23694422cd172bd30017cd6 \
--hash=sha256:ab743e9bc90c1f73552ec33e10e3331315acd2c397b36065b591b0181de533cc \
--hash=sha256:ac00177c4831ffa650f8609e4bdddd5fe09c03b1c0c47acece7e6ea20421598b \
--hash=sha256:ac13b004224fb341e1e25a1ed5e19d32f57cdb2a403e01f003b46f051a550f6f \
--hash=sha256:acaf604462bf330b0d07e7a07c1d6e4adac79e5fb13e9c5140590542cafacc00 \
--hash=sha256:ae31a1a1db2ee6cc2942fccaf695c934bc7f3db9f2133a3fef1f367cf1a4ab10 \
--hash=sha256:ae4a097991662cd4fff0ddc74e0fe7874f82e00042fa0ea00855645ed0c79598 \
--hash=sha256:aea996a6aba25260827c9ea511d1addfde2da9eb686ac961838509086188b7e6 \
--hash=sha256:b39b69b347e5e47a3b5b8cfc005c68c1ba347474e3960236c4944a8ecd174962 \
--hash=sha256:b54e7e13267d49ffbfe68e25b3cbd774dab38fa37238f71265e91b36146eb21c \
--hash=sha256:b9af956078716df40d985fb0dfeb2c2120c5ca92ba4ff4b388acfd01cdc14d08 \
--hash=sha256:ba2f37ee79e6338845261a3c5b1784e5d1acdff2c0785b284f1b633033d136ab \
--hash=sha256:ba501e667c17d8411f98e67a022d9604ef179aff0e459b7e292c796837c13573 \
--hash=sha256:baf3775a2635e5a11fbd5e4e64ee69c7e86875d224a5c72aca4c141064589a90 \
--hash=sha256:bb57753e36e4855b8ca375069482250a6246372331a3e4f3407eaebb007443f5 \
--hash=sha256:bd6c173f04743d483881bffa1478d5a4624475b8cd1d2194956a75548e191c18 \
--hash=sha256:be47f99644b208bff7766314013f9acf57b056b04191d570d68ad14022cf5b1d \
--hash=sha256:c010f5581d9c612804cc59fcf7b524b707fbcb72828551237ab545bb5c7034af \
--hash=sha256:c1dcc36dcb96abc02236e182d17e0f71430152a6c2c7447421da2d2dc144edea \
--hash=sha256:c428c6c31eb5f4277d7f8eccaf767fbd548ddd5ce3c8b4f4cbbfab3d96b5904c \
--hash=sha256:c658c50ac0c98cd755a2dd50b7977d3bca7df401dcc47fbdfa87db53ef7d4e8b \
--hash=sha256:c71fb0d56c920c269cd3e2e3fe7c610e3f1fdb21a6ce60efa6430ff63676cea6 \
--hash=sha256:c7b742bf31c88566b4bb6335a7f393bb322e580b6bb98df7bd0c25e6e3519ce8 \
--hash=sha256:cc0329df4caaceb950d2f580b5ac716a377f7059624a0bafaeaf8a218c6ed774 \
--hash=sha256:cc5d36d96478aa9c60654bd932525bf32964c62a7281eafdf16d85003a8d6004 \
--hash=sha256:ce854f5f478050ade5a238731c4ca985a7d3b3cb53ff600a9b5c3b689b5f0a7a \
--hash=sha256:ced3fdd71aaa83ce593746c2edb42b7a59cb4c19c8b5c407781c72e493aae55a \
--hash=sha256:cee5dd7c6fb5dd52a0fe2a740f9bc6e3593f5f8b1788bde49de02086f30182b2 \
--hash=sha256:cfa1c0cc3a8f9f53f1243a5a99ac36fd003880199383b37672e86ddda9cb07e2 \
--hash=sha256:d1ee1e296209fdce05b81b663250eefa02213a2da7b41bf26f7829b8ba3545aa \
--hash=sha256:d59b75732e9b6f27388e10c14b0259cc5f2e48c78627d185e6a177b58ad3cffe \
--hash=sha256:d63600d620ad0064c3a748b950ac5ea38a80190e5498532efefa4b7b3f1da1f3 \
--hash=sha256:dd732602a7009217f658d5863d12d79d373a4de0eebc111094bcdd3bb8e0a6cc \
--hash=sha256:e06efa066f7dbadbc84ebc126a97c452a6451dfcf589d89d788484949e1cf795 \
--hash=sha256:e199fb99720074809a7720f1c0b4d919eea8b87e88713e0f8f602f7bef543d9d \
--hash=sha256:e4b018dc5a0eee4676e38fe84a47a427816c590b93b55d9025274ec4d6ffc2dc \
--hash=sha256:e6621fb2a4988d6e53eedc455e5903e2679f3967b8acb3d639f1b63c14a2e893 \
--hash=sha256:e71c909f353863b2b89c83de2ebed71ea6d0df8a6ef65a128193c5e650766bef \
--hash=sha256:e90251c0c7bdd54a100a0dce3c07b7e637278c93af29dbf78ebb89a58c4bac7d \
--hash=sha256:e9fbdce1e47394b09bc9f26ab117dfc8d6491977a11d86f592bb42c779db2fda \
--hash=sha256:eb12fb2ba69ffa05f8695f61c69e591dc4b4a12ac3757ac8af8adb259bf56d17 \
--hash=sha256:eda059b6bc8bc0812d626fd91a7ce01bf583df0a61296eff390fd94141a34e30 \
--hash=sha256:f03ac127268b43ef4fe9e6ab6794a6794b49485a0cc0c1db79876d2f33f75bc7 \
--hash=sha256:f298e218441525d3794428b4c8b8fb8662c6d3ea79925d4807ee6b9a96a3bca5 \
--hash=sha256:f5542f9b941279d82d41eb0aa9f98eba36fe4df5c7086c651df7944935b37182 \
--hash=sha256:f6f7deae3feb4edfa2efaf7c574fe88cbf055038a6abdb40188e4fff66d5699f \
--hash=sha256:f9b1e28d0e8dbfa858abdba91d6b547beaf2df1a59bec6da6faae7b96a4991a9 \
--hash=sha256:f9f8405c2c758532c74fed975dbee57be1f31a6e865c031870c79a6ed3212ada \
--hash=sha256:fa48b1b63d639f9483e0633e092f5851e2348c352f1f9bb6c8182f87884ef876 \
--hash=sha256:fb78f6e7fcd8ad785d28cd577168bc1aaee827b25bb8755638f694794ea98f0a \
--hash=sha256:fbc597639158fd7c14d55e808718848319540f51b0e6746e3eefa59723a4a348 \
--hash=sha256:fce8cbd4997efeb450bd298b54f755dcdff18d496f7a5ddbb4867c6d7c88fdc3 \
--hash=sha256:fd0350afdc3aabd5576f60ea109228bd5538139713c7b094c5cd27c73a98bc6f \
--hash=sha256:fd0a274c0e5f9a21565cd9d3dd749b61f96b7aa1e20a93aa1ba4029518f2e5c0 \
--hash=sha256:fdb8a068947befafba9952162645dc2fecaeb400e64584829ed5e9b2fbe21a7f
# via requests
cyclonedx-python-lib==11.12.0 \
--hash=sha256:0e807521a921a5c3cb8ce1153f8a61d29eedfe76a46aac2796b7c6b573391a54 \
--hash=sha256:16767c4039de90c04e9f03348f8f0ed4b8ff842eaa7eefcad3a95685f970dacf
# via pip-audit
defusedxml==0.7.1 \
--hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \
--hash=sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61
# via py-serializable
filelock==3.32.4 \
--hash=sha256:22e58ca3b1ae3b98993b762d7338367ae64fe50252bf78d59da3bfebcdf1cedd \
--hash=sha256:2bde2e4cf732e0153406d8a7bc80620ecf5e621fe0d25e41143c4e3b4733ff30
# via cachecontrol
idna==3.19 \
--hash=sha256:5e0811a4383b21dc5838069f801c4fb62113b7447663d2530d2bd6e77b49bf15 \
--hash=sha256:815e7be7a7806d54abb586dc943addc79e8b2ee16915059658cbeff4b1b43bf4
# via requests
license-expression==30.4.4 \
--hash=sha256:421788fdcadb41f049d2dc934ce666626265aeccefddd25e162a26f23bcbf8a4 \
--hash=sha256:73448f0aacd8d0808895bdc4b2c8e01a8d67646e4188f887375398c761f340fd
# via cyclonedx-python-lib
markdown-it-py==4.2.0 \
--hash=sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49 \
--hash=sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a
# via rich
mdurl==0.1.2 \
--hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \
--hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba
# via markdown-it-py
msgpack==1.2.2 \
--hash=sha256:06d95f61de7afe4f4ff908a6feebfcb070d0582ac87c9cf3cedf8551cf634516 \
--hash=sha256:0708afbf6a9587f0bfe479a9825c141d14d91e2f6a5c8103cf28bc96f4edb5d9 \
--hash=sha256:0883a1578168929fd1640fbbc4614773f1a130e419a8a817dc2918d9af1b651c \
--hash=sha256:0a652ceeededf71d3fa40c303a02a149d42338d310162367b91c539d4bd6e0a3 \
--hash=sha256:0dd9173c5ebaf5ecc5ca86e7ae1db92934e1d57b856f3dd90698941431f4fd77 \
--hash=sha256:0e3315de5a4b2920ccef48d96b4448025e064a10d0f5a250f6584477d839c8d4 \
--hash=sha256:0e91332144f69bc3018c91232fac26da580ef748fb8eaddd7914d4458001cc4f \
--hash=sha256:0fbc1bed8a535389b41882cfae66376e248cd1680eaa94fd83193c73e1d24986 \
--hash=sha256:11e8c421e117d1c36728b423d0402555cccbf0c6f53e288f0e75b6b12100d70f \
--hash=sha256:1510f24612d4b983dff6935d9273e02c320cfd525727fbcb58836a75f589fdbc \
--hash=sha256:1814f92306ae7862908e9ece7cfd90e0dc87ded3e89b6ae7ffdd1175d6376fdc \
--hash=sha256:1e8cdd1f3e7cc52c751092a9bf740e81e6919ab109cd376ae2d965dad0bbae34 \
--hash=sha256:1f3af0baafd184436501004828bb3df64eeb2fc49dfe9d89abcf604956094563 \
--hash=sha256:1f6b6f8deb07d49090e1808c6ef9cb7d23ca17bef3aa6ed3e5e03df16606e60c \
--hash=sha256:226a62ffe99fe54c5c61d910ec64c3449b7766c3280bd286bf6c94838dde239a \
--hash=sha256:29cc2d5291711a52956a79a51f41c732329df39ad727c886bd8f0b5b9237a808 \
--hash=sha256:336525cc2688e43ea77dfb1a4ce012c8cde561835913801dbfcfdcf4111d8abb \
--hash=sha256:34e83e345194a2a51d8bd447dea9de2104f91e75b247f4735f14f04529f0746b \
--hash=sha256:352ed831042549cca8be23780e1fe7c9177e65ff02bf183509c4b4d33f671782 \
--hash=sha256:3e915d390d7068b257ca8b62f3fc59fad135c8631d1017ab03b0b924b07c5367 \
--hash=sha256:419a45c67a5c04213172a14b1864657e014665b77d7081b107a51707923dd39e \
--hash=sha256:42fd9260416885b4815caca5bdd14dfd5dda6cdade732d6c09104ef8f6228761 \
--hash=sha256:46ec851571d8f1b6e29794ebb9dd36f785008da6d14f57c702e60781d6caf648 \
--hash=sha256:4710d881d8fb047deed2485707409116722af2b992d3fefd73c7667c4e350839 \
--hash=sha256:4955accbd87f27beebef5f3ecc27503aa74cb016fb4f640868e749fd93194a35 \
--hash=sha256:4a4348705be86e029d04e741cf9ed0dfe03e942d7d3b92e838fa80d3aa2c3ebc \
--hash=sha256:4b554d8164ebb526892194f71dcd96ef1fefe0c250087498785d3ffc04a80be3 \
--hash=sha256:4d9a562aec0a92fe536da2e533d313b3d2a6b929157b1dec7ff623446dc0a8ab \
--hash=sha256:51dd39d23cfdea0400ed3ff2d29d1e83bd951d3aea79dc89be5b701a09edfe23 \
--hash=sha256:53679573c75cce5f82359e0bd4e6a97809a6b9a9b7a48fd1ba592f4a82cddc84 \
--hash=sha256:55faa6f8395e23b848c535ad5dcb96b3462f37f5e7f4ac500d500434f7345da7 \
--hash=sha256:58ce37a4a54577115922385d37201d9a44d66d0167dfbbf4770a2e9bf8ea7ba3 \
--hash=sha256:59d5b93efa45fd09f620d0c9ba81cde339a2c9937af3eea42ee9653094ce6640 \
--hash=sha256:6195257a107bf25872ef84aab7295078271eea3ac6413f0506b631f6c9586ed5 \
--hash=sha256:652d1bf13d01bac8fd569def0fe76745e55bcda01e30aa6332d5947ea3788839 \
--hash=sha256:682804bf31e43d46e51a9a33bd575b51e839d715ce6bd5612c055f7b28ad637b \
--hash=sha256:68df2947921d449f6dcfeafd86cb2cdde13327a8b447534bbe4ee5aaf32a5695 \
--hash=sha256:6f53285f20d592ed309ee19e509cc4c77a3bda1db02ad67e8a0949bb227a5a6d \
--hash=sha256:73b0e05c32c3cfc3cd84994908e57430c0ebc6813abf905d3f18ff115d54df3f \
--hash=sha256:77c2e018417dc1d66f235e383877ee885b60ade9d29e494dd581e08af2cb1923 \
--hash=sha256:7826f16edc763e768404f55605ef85dfcf5857e729c1ed29e0d7c180be4fe6d8 \
--hash=sha256:7afa5431f6f3487c584187ca6c8e2a34e9b106529893b3e720eabb068f6ac970 \
--hash=sha256:7d095df2627e5dd59ac7b0c5ad627a671c76e6020171e03cbe4621a61f0562c3 \
--hash=sha256:7fe374ba76eb0ecca13a1703daa8fa85825a6ddddbb52d4c1a732fa524194683 \
--hash=sha256:82b1bdf293267afaadcc608b125e7fc6576bb0785a60c4fa7d07c7ab76ed76ec \
--hash=sha256:86f173a584f72f6164801f31866d22a581f60c991572cf922aed9ab8eb422b77 \
--hash=sha256:8b1415d02e9bf722672af8a90f90813265a0cd0b14163187261e54a5592bc949 \
--hash=sha256:8b2a281b556f120a43e591ea39915741b7ad54d4727b9c4350a0a11692252533 \
--hash=sha256:8c6321a414f8b4a8dc43976b2fa8349156434ca9adedd9a187b796f7e1d3d3fc \
--hash=sha256:8dc4487097571f7311188c3eca2a3e86cd1f1db4c37c7a017bcc3fd38486cbfe \
--hash=sha256:90986cc9aab9d7d1d8f38bcbf65d3f7ac83bdd90c35765db7d691b4829698cba \
--hash=sha256:9352e6cdb510a7b1a5d3ccaccec730e82e50cf3484a3af7bdaab19e23b9589ff \
--hash=sha256:935b1cfad9b908b0fa845010f4271df4c2f04e1cd26e3f18acd61a45f93c9e36 \
--hash=sha256:9b659d77f8726fa5e7038967dda6b68d53cf34472c094cfa5b845454713b90d5 \
--hash=sha256:9bd3d1557c3fe1a095068210708a03e3e4795973392af6f4047060e70abd9a6c \
--hash=sha256:9bf452ff4d4981f25a18e9476e002bcc9263e7928024aa4d7148e25f7be3f929 \
--hash=sha256:9d7fb25b4442fae0cb2590272d06ab4f6caa526ee36a994edb81e946b874813e \
--hash=sha256:9db1ba1c1e6a84245a9dd866265b56b8a1e9461549cc72ed296d8cbfbd32961b \
--hash=sha256:9eb0b0e602064527a045ea28c4f174ed69383587e29cebe28947e3b84106eb2a \
--hash=sha256:9fd7f32e2f0fb334e7ecc5adb5cf0458785bd3a9d9d86f950e1715f101cebce5 \
--hash=sha256:a378e12ccc06d76efde115caf4073b7e5ff3cc18291d1341f9e65fb882e3f754 \
--hash=sha256:a4161eee7799863aee237c35c90427861f7b994416dd81ae829f560b0a81bdcd \
--hash=sha256:a9b4cf3685a135666d27d0d7a73fece74e2fad01d9b508fded89e843512f0e90 \
--hash=sha256:aa1120c653b76d8eafa50423b5eba06b5c9737f8692c74fa3afe03e84b8978ea \
--hash=sha256:b07c03f0da7e5279170df7745ddc732d526c8a198208936ec1a95c11ed2b2d5f \
--hash=sha256:b13b59e66f107cca1ba708dd5307179870ca1b15b19fcee7ccf722e5308d9212 \
--hash=sha256:b542ffc0a5c531eedc40419f291f1bd659aa8d4223408a5b51c88a2796083fd3 \
--hash=sha256:b5c696ae7cd7166b3657261adb855b461ff31f07823fdbae9de8bf80adfccc21 \
--hash=sha256:b68614fba0570349833b7dd999ff0aed4e5cc8d9eb6e3a7d4527be33c65e33d3 \
--hash=sha256:b8dd6c71d20c28d2d0eb0c51e7cccf3584afde3b1364f6629596186c9025bd54 \
--hash=sha256:b9b0c1f2aa7b0026b4bd50718100e8b04175e4f36e160aa852502377b5e572e7 \
--hash=sha256:c522420d78db2431887d45b518e304d86e27b9ad0b30f24e3806a6ad5d8bdbfc \
--hash=sha256:ccfd880988f8438d1c91c77d7edc58e70f4d2012e999167bc154c64c6f06ea6b \
--hash=sha256:cdb6cc6e1127d15879c47a8b3270716243da82d3e7feab1f5946872c75b3d60f \
--hash=sha256:cf66fb38703e61a486b01b56d43bb1f50698fbe99b6bd90feba10f24fab60b3b \
--hash=sha256:d13d07efbf655f9ae7a2352b630c52727b359005b21ba08a507585c9ac8c0896 \
--hash=sha256:d242f3c4ccf55b056e6cf901720dccde58f1df117898f2bbf3bcd6e38ec7c248 \
--hash=sha256:d24b38a825bcca41bb956de50eb98451ef291304a8607fad99e619043d3e79b9 \
--hash=sha256:d3c247d457ae9079974c7ce3c665396754a6d2baff7eaa51332212a8a5a3f13b \
--hash=sha256:d886baa46b2532135e7320067e6a44edb09ba5883a6096b0f9c044533984b8a8 \
--hash=sha256:e05a94a0442de86818a30281c6cc2cb9cc7aa148386fd3541c4d4774b73cb3a9 \
--hash=sha256:e1b99ad34613d5f8477fa5cf99bc4eaeaf27965588007c102370cd9a78fe9de5 \
--hash=sha256:e2eb7ea0ac3911a7aac9d8aaa36d40f216d99455b3274cd3fac38181bcd910cf \
--hash=sha256:e497ee34e8a3342bbde51b27c22d8db05a651df3361dd3daef5b3ab0d66f3e04 \
--hash=sha256:f11e09f10210a91c169e39c7a5a1f9090eaa73ad75555fafad5023c3053c47ba \
--hash=sha256:f466049b8e1ec0854287bbe9a074316826fe0e08dcf707245f98b1ae49e92650 \
--hash=sha256:f80361592c13d7226b4379c8941529b63fe1a9d0e05d2de8f3306b70e522b53f \
--hash=sha256:ffdd2f4950daf7815490f23087963e3420175b9609520b7ff5df64d351159c22
# via cachecontrol
packageurl-python==0.17.6 \
--hash=sha256:1252ce3a102372ca6f86eb968e16f9014c4ba511c5c37d95a7f023e2ca6e5c25 \
--hash=sha256:31a85c2717bc41dd818f3c62908685ff9eebcb68588213745b14a6ee9e7df7c9
# via cyclonedx-python-lib
packaging==26.3 \
--hash=sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79 \
--hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
# via
# pip-audit
# pip-requirements-parser
pip==26.2.1 \
--hash=sha256:71138adf1f4ca900cdb7d289c21b7494329f2332b6d85f0e1c42108c0384ed3e \
--hash=sha256:f6ad667e89a1fe78046c8f13232b247200f5258d7828f3f7883d660878e0813f
# via pip-api
pip-api==0.0.34 \
--hash=sha256:8b2d7d7c37f2447373aa2cf8b1f60a2f2b27a84e1e9e0294a3f6ef10eb3ba6bb \
--hash=sha256:9b75e958f14c5a2614bae415f2adf7eeb54d50a2cfbe7e24fd4826471bac3625
# via pip-audit
pip-audit==2.10.1 \
--hash=sha256:1eb4565d19ebe5d48996f4b770b4d2b32887e12cb12cfa637f1a064011b55ffc \
--hash=sha256:99ef3f600a317c1945f1e89e227ef26e1c2d618429b8bd3fa6f4f7c440c4611a
# via -r .github/requirements/pip-audit.in
pip-requirements-parser==32.0.1 \
--hash=sha256:4659bc2a667783e7a15d190f6fccf8b2486685b6dba4c19c3876314769c57526 \
--hash=sha256:b4fa3a7a0be38243123cf9d1f3518da10c51bdb165a2b2985566247f9155a7d3
# via pip-audit
platformdirs==4.11.5 \
--hash=sha256:89f8d42695853b89c7170bd49bc3dc593f98a71e695ede88e06a3b247bc4563b \
--hash=sha256:e8b31f4f8bcbbedef91a6b57a706255e4f148d2a4e01648382a0a47342539173
# via pip-audit
py-serializable==2.1.0 \
--hash=sha256:9d5db56154a867a9b897c0163b33a793c804c80cee984116d02d49e4578fc103 \
--hash=sha256:b56d5d686b5a03ba4f4db5e769dc32336e142fc3bd4d68a8c25579ebb0a67304
# via cyclonedx-python-lib
pygments==2.21.0 \
--hash=sha256:2363c69b61c4a97c838da3b130dcd6468f4848992b21a82f2a63ec34377137d9 \
--hash=sha256:610ca751c9bc2492b38eb9a38a7fbc93edbbb2d7182edaf34e66ae493dee5c8c
# via rich
pyparsing==3.3.2 \
--hash=sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d \
--hash=sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc
# via pip-requirements-parser
requests==2.34.2 \
--hash=sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0 \
--hash=sha256:f288924cae4e29463698d6d60bc6a4da69c89185ad1e0bcc4104f584e960b9ed
# via
# cachecontrol
# pip-audit
rich==15.0.0 \
--hash=sha256:33bd4ef74232fb73fe9279a257718407f169c09b78a87ad3d296f548e27de0bb \
--hash=sha256:edd07a4824c6b40189fb7ac9bc4c52536e9780fbbfbddf6f1e2502c31b068c36
# via pip-audit
sortedcontainers==2.4.0 \
--hash=sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88 \
--hash=sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0
# via cyclonedx-python-lib
tomli==2.4.1 \
--hash=sha256:01f520d4f53ef97964a240a035ec2a869fe1a37dde002b57ebc4417a27ccd853 \
--hash=sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe \
--hash=sha256:136443dbd7e1dee43c68ac2694fde36b2849865fa258d39bf822c10e8068eac5 \
--hash=sha256:1d8591993e228b0c930c4bb0db464bdad97b3289fb981255d6c9a41aedc84b2d \
--hash=sha256:2190f2e9dd7508d2a90ded5ed369255980a1bcdd58e52f7fe24b8162bf9fedbd \
--hash=sha256:2c1c351919aca02858f740c6d33adea0c5deea37f9ecca1cc1ef9e884a619d26 \
--hash=sha256:36d2bd2ad5fb9eaddba5226aa02c8ec3fa4f192631e347b3ed28186d43be6b54 \
--hash=sha256:3d48a93ee1c9b79c04bb38772ee1b64dcf18ff43085896ea460ca8dec96f35f6 \
--hash=sha256:47149d5bd38761ac8be13a84864bf0b7b70bc051806bc3669ab1cbc56216b23c \
--hash=sha256:4ab97e64ccda8756376892c53a72bd1f964e519c77236368527f758fbc36a53a \
--hash=sha256:4b605484e43cdc43f0954ddae319fb75f04cc10dd80d830540060ee7cd0243cd \
--hash=sha256:504aa796fe0569bb43171066009ead363de03675276d2d121ac1a4572397870f \
--hash=sha256:51529d40e3ca50046d7606fa99ce3956a617f9b36380da3b7f0dd3dd28e68cb5 \
--hash=sha256:52c8ef851d9a240f11a88c003eacb03c31fc1c9c4ec64a99a0f922b93874fda9 \
--hash=sha256:559db847dc486944896521f68d8190be1c9e719fced785720d2216fe7022b662 \
--hash=sha256:5a881ab208c0baf688221f8cecc5401bd291d67e38a1ac884d6736cbcd8247e9 \
--hash=sha256:5cb41aa38891e073ee49d55fbc7839cfdb2bc0e600add13874d048c94aadddd1 \
--hash=sha256:5e262d41726bc187e69af7825504c933b6794dc3fbd5945e41a79bb14c31f585 \
--hash=sha256:5ee18d9ebdb417e384b58fe414e8d6af9f4e7a0ae761519fb50f721de398dd4e \
--hash=sha256:7008df2e7655c495dd12d2a4ad038ff878d4ca4b81fccaf82b714e07eae4402c \
--hash=sha256:734e20b57ba95624ecf1841e72b53f6e186355e216e5412de414e3c51e5e3c41 \
--hash=sha256:7c7e1a961a0b2f2472c1ac5b69affa0ae1132c39adcb67aba98568702b9cc23f \
--hash=sha256:7f86fd587c4ed9dd76f318225e7d9b29cfc5a9d43de44e5754db8d1128487085 \
--hash=sha256:7f94b27a62cfad8496c8d2513e1a222dd446f095fca8987fceef261225538a15 \
--hash=sha256:88dceee75c2c63af144e456745e10101eb67361050196b0b6af5d717254dddf7 \
--hash=sha256:8a650c2dbafa08d42e51ba0b62740dae4ecb9338eefa093aa5c78ceb546fcd5c \
--hash=sha256:8d65a2fbf9d2f8352685bc1364177ee3923d6baf5e7f43ea4959d7d8bc326a36 \
--hash=sha256:96481a5786729fd470164b47cdb3e0e58062a496f455ee41b4403be77cb5a076 \
--hash=sha256:a120733b01c45e9a0c34aeef92bf0cf1d56cfe81ed9d47d562f9ed591a9828ac \
--hash=sha256:b1d22e6e9387bf4739fbe23bfa80e93f6b0373a7f1b96c6227c32bef95a4d7a8 \
--hash=sha256:b8c198f8c1805dc42708689ed6864951fd2494f924149d3e4bce7710f8eb5232 \
--hash=sha256:c2541745709bad0264b7d4705ad453b76ccd191e64aa6f0fc66b69a293a45ece \
--hash=sha256:c742f741d58a28940ce01d58f0ab2ea3ced8b12402f162f4d534dfe18ba1cd6a \
--hash=sha256:c7f2c7f2b9ca6bdeef8f0fa897f8e05085923eb091721675170254cbc5b02897 \
--hash=sha256:d312ef37c91508b0ab2cee7da26ec0b3ed2f03ce12bd87a588d771ae15dcf82d \
--hash=sha256:d4d8fe59808a54658fcc0160ecfb1b30f9089906c50b23bcb4c69eddc19ec2b4 \
--hash=sha256:da25dc3563bff5965356133435b757a795a17b17d01dbc0f42fb32447ddfd917 \
--hash=sha256:eab21f45c7f66c13f2a9e0e1535309cee140182a9cdae1e041d02e47291e8396 \
--hash=sha256:eb0dc4e38e6a1fd579e5d50369aa2e10acfc9cace504579b2faabb478e76941a \
--hash=sha256:ec9bfaf3ad2df51ace80688143a6a4ebc09a248f6ff781a9945e51937008fcbc \
--hash=sha256:ede3e6487c5ef5d28634ba3f31f989030ad6af71edfb0055cbbd14189ff240ba \
--hash=sha256:f3c6818a1a86dd6dca7ddcaaf76947d5ba31aecc28cb1b67009a5877c9a64f3f \
--hash=sha256:f758f1b9299d059cc3f6546ae2af89670cb1c4d48ea29c3cacc4fe7de3058257 \
--hash=sha256:f8f0fc26ec2cc2b965b7a3b87cd19c5c6b8c5e5f436b984e85f486d652285c30 \
--hash=sha256:fd0409a3653af6c147209d267a0e4243f0ae46b011aa978b1080359fddc9b6cf \
--hash=sha256:ff18e6a727ee0ab0388507b89d1bc6a22b138d1e2fa56d1ad494586d61d2eae9 \
--hash=sha256:ff2983983d34813c1aeb0fa89091e76c3a22889ee83ab27c5eeb45100560c049
# via pip-audit
tomli-w==1.2.0 \
--hash=sha256:188306098d013b691fcadc011abd66727d3c414c571bb01b1a174ba8c983cf90 \
--hash=sha256:2dd14fac5a47c27be9cd4c976af5a12d87fb1f0b4512f81d69cce3b35ae25021
# via pip-audit
typing-extensions==4.16.0 \
--hash=sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8 \
--hash=sha256:dc983d19a509c94dba722ee6abd33940f7c05a89e243c47e907eb4db6f1a43e5
# via cyclonedx-python-lib
urllib3==2.7.0 \
--hash=sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c \
--hash=sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897
# via requests
-1
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@@ -1 +0,0 @@
pytest==9.1.1
-32
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@@ -1,32 +0,0 @@
# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/pytest-tool.in --generate-hashes --python-version 3.11 --python-platform linux --constraint requirements-ci.txt -o .github/requirements/pytest-tool.txt
iniconfig==2.3.0 \
--hash=sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730 \
--hash=sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12
# via
# -c requirements-ci.txt
# pytest
packaging==26.3 \
--hash=sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79 \
--hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
# via
# -c requirements-ci.txt
# pytest
pluggy==1.6.0 \
--hash=sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3 \
--hash=sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746
# via
# -c requirements-ci.txt
# pytest
pygments==2.20.0 \
--hash=sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f \
--hash=sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176
# via
# -c requirements-ci.txt
# pytest
pytest==9.1.1 \
--hash=sha256:1088fbde8f2b49d95a549a195707afa7a76a3ce9bcadc26b6d71f0ffda5fe313 \
--hash=sha256:37a86b45efb9a47a61a36449063e8e18d0cab3161329fc099eb21783169c4f0c
# via
# -c requirements-ci.txt
# -r .github/requirements/pytest-tool.in
@@ -1,4 +0,0 @@
safety==3.8.1
bandit==1.9.4
semgrep==1.175.0
jq==1.12.0
File diff suppressed because it is too large Load Diff
-1
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@@ -1 +0,0 @@
twine==7.0.0
-470
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@@ -1,470 +0,0 @@
# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/twine.in --generate-hashes --python-version 3.11 --python-platform linux -o .github/requirements/twine.txt
backports-tarfile==1.2.0 \
--hash=sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34 \
--hash=sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991
# via jaraco-context
certifi==2026.7.22 \
--hash=sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775 \
--hash=sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55
# via requests
cffi==2.1.1 \
--hash=sha256:046bfc24911b37851ee1b51aab8bffe713d89c68c6a057b09484ce9fd5f69b4e \
--hash=sha256:06c72bb76605a4b0cd0aad6930b69d4baf7dd5d806cfc409b824191099700e66 \
--hash=sha256:0beceaabe56af686895136a2de78db54ecd8e4046b236b8fd6d6cb61389e9bf2 \
--hash=sha256:154852545011f779917b11c78db2358d095da62a9a172b78ad0a583ee5adc0d0 \
--hash=sha256:194cffa889098ced9976c3fc6340305e43f6303657d298da55366907c05c22d6 \
--hash=sha256:19ee6127ee34de7d83ce3d371ebc5ed91addbdcc39f9ab15ce4eb35a4e534971 \
--hash=sha256:1a18a57b58cfb21fc28d72e876acf10eaed67a1ed96226f92af4df681d571c4c \
--hash=sha256:1aa5645c30469b09530c4ebca77ebf8f17618293c58f8549cb1a543a50236e7d \
--hash=sha256:1dea0e4d7d4f11f619fe8c1d76caf49e24405b4b5743c0e3be16a500ecd930c9 \
--hash=sha256:208f941bb9d18e768138677f0a6d2ce01f590df56043dda1df1535ac57c88517 \
--hash=sha256:210019b6c7cf07f081b4c54635c8cf744377001350e29cc0f81c4377b4797735 \
--hash=sha256:246fa40ce8645a614ff682e0b70f37134e460eaf93a775e0cbe3cca585a67a80 \
--hash=sha256:25792eac27877609e7bb06d42ff88278a6624fff2ba9bbb523c09616b117e80f \
--hash=sha256:27350daa11d4f10c540e6e89dada4c54feb7256ad03e9a4dc075ebad7ba360d1 \
--hash=sha256:28907ab9bfb6aa13184cfc17c6b8e1023c5ab6fd7076d8c20a35e59fe04f8f29 \
--hash=sha256:2ae64be792b8966f2c69538199728b290e34726562896df1e5dc8ffd8d8188e8 \
--hash=sha256:31348097ff5bbe827ccc41795d4dd099d9f0625e7def00ee653c137a490c2a6c \
--hash=sha256:3143d81e29e1e20a9ce10901ec369012947876596f75a222235965f2b7ae832e \
--hash=sha256:3222ba5d678f80a030e6afbcc33dc1ae5cb45facabb61cee2c7016b8432fde48 \
--hash=sha256:3311ed60d36f83378794e1009ac6258bafbf81f7888b4caa7b35a521e3f95813 \
--hash=sha256:334644fbac4eff73d985a17a91226df55d0f394160c4cfb880e084c8f7161cac \
--hash=sha256:34e261f78cb6ceaaa36f42f2613f4380d94d9c759a9c73c769ee6e0247364632 \
--hash=sha256:363e05fa78e15116c3c32c210ee36884fd6b9afa6d440e47112c3bd511d64cb6 \
--hash=sha256:398aff33cee2767e3e781d2554c54bd0dff386bb437581e0d8011fde1a942ec1 \
--hash=sha256:3d22a20b1fb1632cc72c22f95f7b0d2961c3e1c235f245ba4c606c4771035659 \
--hash=sha256:42a494cee34437f05546455144f2b5d9ac09b1face62bcfce597d2e521066688 \
--hash=sha256:42e2f76b9455f5a9a844f770bf3e200ed3da0e15f5df3db9c31fe80b04b3d004 \
--hash=sha256:42f6930c31dc7f50732c9ae793c2786c7b6b044195967bbdde40bb9be81c4cc0 \
--hash=sha256:456a61fa52d579ebf9df2e9552ead5129855dbaff6c1e5a9b1bc408809bdc062 \
--hash=sha256:471cee653ae88de62096552e6d24ccb4a5adb8c8c9f10b5054d0122c15bf2779 \
--hash=sha256:49cbc70e6542d4ccccb936558d1064a8012541e78f821f955cff24e357776c94 \
--hash=sha256:4a7c934f7360e8cd64fe9efadcbd10c7c6364f531e432b9a4bf5ccbc9e0e8b50 \
--hash=sha256:4be96343e422f2dfcd12ab5c9f5aebe03f82f737c6bffeca6830b3875cb44aab \
--hash=sha256:4f42141fc14250de6dde5ee7ea4432be017252d91f19c5ad043c084cea629cac \
--hash=sha256:507a24c282e0f42f8ed737cf048572cbf580468da5555764a8331735e9c736b6 \
--hash=sha256:51b31d1c98274844cfd7838ce00bfc27c7423a4dc00fc0772fc3331c2cc90676 \
--hash=sha256:58acb8ab8e295e6c5ea12f888cbb13cf21511ef2a3303a23f4325c29d17fe5c1 \
--hash=sha256:5a59cc1c4442bc3d5c703bf720b51138d0bfc173618807c9ee2490a7541dd3d9 \
--hash=sha256:5bb4e7ea95dcd6a014a6fef62e62467d67d8e582326443f3d68e71d6320a9fcf \
--hash=sha256:5c58fe613dc5e5336357eff555824a314d8e43282600435c8d1cb6a7a2fedd13 \
--hash=sha256:5e7cecbaadb83884793e05828cee59b210b24583b9c7425d0ba6a754fe22eb4e \
--hash=sha256:616f097f2fe415bc92a247f02e11f634e1f9e9a83d327e3c915c15089c87869e \
--hash=sha256:63bbfd5ded17c4840ac07cd8f1c21ba9d9708141f840b324f422f41b207e3973 \
--hash=sha256:64faea20f4e2613363a1a9b9c7dd73058f3ecd00133a511e72ad7c511658f527 \
--hash=sha256:661c298b4821edebead0c91edd2b00374d67ad7c5a1f7a91d4442633b79d6a72 \
--hash=sha256:68e62fe11f30d5ca8289242866f0a5291402d8529ca2178ab8afc5c9694ae890 \
--hash=sha256:6a8dddef476fab96d066d578fc88526767b836ab5ab21754e1d5bf3879c31c7c \
--hash=sha256:6e192623c49c94421616a5778fba35cf0d5a8d000650c1967ef4448ee5cdd990 \
--hash=sha256:7225e4514edb64eb6740324353e0da0711954fd8d7da4576755b1c6e09b697cd \
--hash=sha256:75f80557d1389eddbd0de2681f6a390a0c5338c31ddaa821381c203fc3fd50d9 \
--hash=sha256:770de9db11e84213beec501cfcaa013b019820ca881e03344dea5844f7876d94 \
--hash=sha256:7750c6449dff7864bb9bb27ddfb0267756189201a3afc911d82b3caacd70dfc3 \
--hash=sha256:7bde5e4cc5c10140859842b9d383af292b22639a4dffb725314baf45968cef80 \
--hash=sha256:7ce713ace7c0e4520535b42b77eaa742c16dab813978064913e5a3cf82973b41 \
--hash=sha256:7da0c5eff80f0197f3b3d1232ec5a682a9325f4ae9016a78f5f5ca35f9ced1f5 \
--hash=sha256:7dbb61fe3a7699468030f71bbe5f8a0e326a151daa91beb11a6fc1f980c55e1c \
--hash=sha256:811bd1e21d32de12efca32393a0ab3f5133b54fce9bd44b8bd77ab07da14bf6a \
--hash=sha256:8ef53b2de9bcb9197d31854256575d59dbac0cba72ac627bb291ef5eceb74be4 \
--hash=sha256:937c0052c05a31ca1daf18de3158eed4dbfcb9cc107adbea227728d647be701e \
--hash=sha256:9d2055050ea716bd38b7f7f1579c275386646b4894c155a3e2f3cd62ed41b7c6 \
--hash=sha256:9f8d177621de5cb38ee3e731eda45d421db093ec0739f46a5594babda7987a98 \
--hash=sha256:a2d7755bef5a12ed488f4ef1f1b69ee9191d7396083b755a5d2295f6edb4768b \
--hash=sha256:a48d62ab9d6f4f98c983223a547af44be6ca3691074c31cecced6facd3ba2dc1 \
--hash=sha256:a4f00aa42f75d6e4595e8866e748cc1705adc0cddfeb2ca86d0d03993d63ba03 \
--hash=sha256:a6e721d4b0e45d5b65e87534470e67b18dcd092c83f68fba09f152b9cbc061af \
--hash=sha256:a730a083190634c65cca36ba5f489531576ebd79bcd5c8e172130f6453127231 \
--hash=sha256:a931079504ecc49efed7744c476a5c343a92fabf66dec2db95edb1b2fdc770e2 \
--hash=sha256:aa9511c62d14da7aacc9b4bf51f3f697a621e83b2d6919008243c3aad168eea3 \
--hash=sha256:ab36d55f9ed2d067327667c2fea18dda018eb628dd6347aa01dda6cf1f5d3836 \
--hash=sha256:ad2c86c495b899d862ea0f4b42891b8713a3bd45dd4105c7fd51c2a72f39f3a5 \
--hash=sha256:aeae0e330c9f6acd681f647d46cefd30c29f93e3392882e792e82080c9691399 \
--hash=sha256:b0431303acaea1089ad4b3e9ce4e6518193def1118d4073ca848635ee4ea2e96 \
--hash=sha256:b5bdfd1c873d4e093aabc0ca84c4ca6dbc4f752afb5c86f146d9742580c9da2e \
--hash=sha256:baed1e86cc735622097354b9d1281406caf42ff42a886d29faa8e8d1630333be \
--hash=sha256:c1453022f490d2459a11819d83ad1d586e9ff65a12ac3e705ffebd46d3685dcf \
--hash=sha256:c26608d2222fb1e94487e4a387d85f13eb55d5ed725cb25a0c589ac4ee60e7bc \
--hash=sha256:c7659f22557c5a0bc4855cd635f55edec690cc008a40768527762cb9fb263455 \
--hash=sha256:c8c69575568085ba0b1b10c0249d779a214aea6f6522e949a0fc9fb0fcb449d0 \
--hash=sha256:c8d2c9fd1f2d16f780d15127abb050d13d1a76c03a4bd87d7e4980e45e511e12 \
--hash=sha256:ca82be1a1d406ecfe1d25dc16cb33488e5a16bf4438c9fb590484ea29d92478b \
--hash=sha256:cc572dace3f60ef98d7b12ff411d20f5362feb31a0439eab0085bbfd349982d7 \
--hash=sha256:d18e5ac0f2f03f4f518d3e23db0f0cad7faa1da8620e9c09461d443bbf6e6692 \
--hash=sha256:d28630f5854ab07ab1fd4aba756de52326c82e6be15d414b12793f1975048b54 \
--hash=sha256:d9c275eaacd24aa73f94ffd6de08fc3f932424d8b6c376f4bed7cde376fe7bc3 \
--hash=sha256:da0e573f9f97159390c89d9f1a9e41908b66d408cc5b58d08cf3847d844c531b \
--hash=sha256:dd31f52ea1086513bb9df30f8fcee9b8918323ae067a3d5b78bc826a000712be \
--hash=sha256:dddad92b554513a31f272570678ba307fb9f618f05e3d4a5eacafff9eae03e1d \
--hash=sha256:df423d40ee8654634421812bc3b196da3f9bd7d32929da813f8394c4348a5358 \
--hash=sha256:df913725b79db7bcf03448f36b7bf8815363417d5b58deecf9305e3e30f0f21a \
--hash=sha256:e0bcb7e0f677f543555d2adff3bf19c05f66cdb4796e5ff602442ab2fe3c4ef7 \
--hash=sha256:e2d65b31f36619cda3999b78b2aa9632e76b78448e7a56fc4240824200e7c4fc \
--hash=sha256:e6e8cff14d6fb0be70a09c0bdc58096f501952d04624ebf867e0e56da2df8960 \
--hash=sha256:f16c709686a78c727bbbf059f92b0bf41c6fc60deec706d2dc19f529175a6125 \
--hash=sha256:f24fb43132a4c6b4cb4eb029492919b2db645be6808d738f244fd146c03c32cb \
--hash=sha256:f53e442b08449d42821fa4a4fba000095af9f62742a500f978a9f557ec44339a \
--hash=sha256:f5cfbc5fe74540d335175b656c725d74d90e3730c626d92575eea35029d9afaa \
--hash=sha256:f81b3b8f3d4e343550fa4baa0e479bba9f2d29ce9c2e9b51d1ce1718d7442fcf \
--hash=sha256:f8ec5e643a9a937f64e1999eb9f75d072263751912dc5cd06d3c85f8f44be7c3 \
--hash=sha256:fb92203a88b3d3053034db775110081c49d28be6551923805e039924093761e4 \
--hash=sha256:fcd22650c908d7b7da162bbfaab594a1227a15d1643a98c68b122ac642fa2264
# via cryptography
charset-normalizer==3.5.1 \
--hash=sha256:00668ebb0609751758682eb0b5857e7c35b9f00e84dfdef062e103244ec94d45 \
--hash=sha256:012a22b88a77ca2e59b98ac5889b0deb604147666032f45e6d6e217634d2550d \
--hash=sha256:01e93745f7f219b703b60ba7afead36cfc4242782be5af484673fc500df12da5 \
--hash=sha256:04368edf83514385ffc3e1cfd4546e595f4f1272dd23ba437a93a9cc3741d47b \
--hash=sha256:0722590aabf9dc6a6c0343d523c05458fa2b5047dbe6302fd526bb570600753f \
--hash=sha256:07ffd07412fc5d5e84cd8952acf9ff7e4ed7a708e69d1bada19d8ba91711353f \
--hash=sha256:09a7bba9f739468c8e78c36a75c33768e53cb1959fc638f510454c14683f00d5 \
--hash=sha256:0b2b1b3fa5670c127b246df1d0c059defd41f689a868a3b9d79df9b1cac42d22 \
--hash=sha256:0c6dfb5ca6723eeed15aa8e564a014d69fcb8812f94eef11fe3631e0508199f5 \
--hash=sha256:0d929fc574b4d6fd9e7c0f5c2ede8716a41911923aa7fa5fce38e0818aa4a1ac \
--hash=sha256:13e3afe97712e8887cd516e960c63f0b93122971e5b5e4b2622fe7701771e838 \
--hash=sha256:15f024313246a4ed976c60f440bb8d257815513a681d212ff74fd46f7d715a90 \
--hash=sha256:195ce897c6153c0700078142cf8efe3e6454ca4cf4357499e4078dfd83396626 \
--hash=sha256:19a3dd5aa73cef1c99687c4fc57db016a9c17104ae1185da88ba566a5d3bebe4 \
--hash=sha256:1d1c7a53a6c2103925cdd6d7229f8c567379f211c869793df679f2e9f738c369 \
--hash=sha256:1f5883d77fd409a261abb5dc8ccbe335720d798b1de4abb3b1d47ccbbc76b53b \
--hash=sha256:21b82d8082f6f5e7f456ef0bd16323d08de1266efbfeb476e64b2a91d1471a4e \
--hash=sha256:252d099029bcbea642f2a06c4ed5046bdf8b5a8150b64afa5e027e88b106e5ee \
--hash=sha256:256dd4d85d9e4dc595e2bc983c980e73f62ddeb3165c58b4c3dfe78c5c8548c1 \
--hash=sha256:26422d45fd13551cf564c58932f7d72b4f58b93b0fcf18c35ba6be12b46bb102 \
--hash=sha256:2679de311c7946dde5d3b6f44941844133ff5c7cb86099c0061ab1e8901c20a8 \
--hash=sha256:29880d17a8eb0b5cfdfd8944b468322928059aa35f1f5fa8ff22b149ec0b42f8 \
--hash=sha256:2bced4061f000f7187254a02ad3433ae17eaf991747ceea2f478422590a5bba9 \
--hash=sha256:2e9cf9253119d8e5d111f05d71626786fd3d6193817316eab1ca088cdb8593cf \
--hash=sha256:2f06b7eae9dbe77fe1d644ca244dad508de8d302870a43f3c559b521270938a0 \
--hash=sha256:2f293479cce755c75f1697e87c409b7ae4c555c7dfecb6e988ad13abba943031 \
--hash=sha256:329fc3ccb63ad22d867d84c2adea759a64079a37ba4a343433b02c7a2816871e \
--hash=sha256:343fb4f2821043bd87095f7b08a1a181febc8e36ac64212143bbfd0a0e1bc235 \
--hash=sha256:3588e376b3ea2eea84976f67273d679f229e24c66dce7b82ae45aef04ff6e072 \
--hash=sha256:35aea775dc2bd5f54cd84a1cd2696cc3207c479cb9cf0bd346f0d343e4300ddb \
--hash=sha256:35fe081843b35aad20ffeccec3eeffbe637b15d14f3fb22cc1b59cd8ec17e93c \
--hash=sha256:36047af20e17097c3bb9476c2b7655f2f7aa51322c0ba58c07695bedf755a950 \
--hash=sha256:3617ac3cfd8b9888f145ad89dd6e692285834b0201c6074a5eeaad3fd4d668c2 \
--hash=sha256:366ec70f5547c640d3ce1985722490f23faf4eb5216a7eeba78277490e78dacb \
--hash=sha256:394fea06235c8543390050ed5f529187074b029fb027213f6c46ac11ab5d950e \
--hash=sha256:3d27167433c0d5f18dc850f07d0b3816221984fecdc405d6c157a6f0b8f8e9e6 \
--hash=sha256:3e5e1224c0a6a90e05843e07adfec669edebec17801c67072f51e59561d63c0b \
--hash=sha256:41876ee62a3dddf48ff1121ad8f0798032aa03f2fd35f21f34a4cab14f18d8d2 \
--hash=sha256:433c5a81eade63b47e522303bad236f59dba55ea6951746f5558355eeed8c75d \
--hash=sha256:4582c27e8c889d64811987b5967fbd3ae0c823fe1fd933b543d55ac20bb475fa \
--hash=sha256:485a0d363cafefcd2538a73c7c838daa2035f09b2c9f9b5e3133f80c6aeb84c2 \
--hash=sha256:494b70049a4d69aec6e8137c13af4cf8db8c9f9820a1392ac293b0dd2987a818 \
--hash=sha256:496846868fea80e479324862fa877f02411f2fd0f83b79ccee2607aa68b2a032 \
--hash=sha256:4abdc5f9ad448c1ecbfae2974b820535d6bc6e7eef63babbab3d81cf46968c71 \
--hash=sha256:4b599739b93b2cbeded49645ae3c8d1405c29ddfbceac1545c87a3f9580a9e96 \
--hash=sha256:4bea7f8ebe90bbd7f0e4a2de42ca6924ba23e3e76418c408ff82f1d46fabd687 \
--hash=sha256:4c4fb141a727957c93edfe5c32a26ceb6b5f6461d67146e2d39f51e16170bea8 \
--hash=sha256:4c9548dc78002099910abaebc0a72ac58b7d30931869e0351c09b507dff4ece3 \
--hash=sha256:4d26f14f041e83dd8edfd61f4cd4fa7285d31798b5bf1f28e70c367ba6c41d61 \
--hash=sha256:4f298bdadb8f0b9e5672877f647d1be9373ef5320c9e2f049795e26cad28b6a9 \
--hash=sha256:52ec005752a56ae79547a05c0139ca2501a0c866390b6115008456b9f0e7cde1 \
--hash=sha256:55261ac0d2941c42f196dd576f543d87a8ee03cd6f5e30dfb4d807b2e3b9121a \
--hash=sha256:56490c595a28b1bb27dfc583e816152a9767721ef58b2c03b13f954d2f707420 \
--hash=sha256:58d3e12c88e0950bca850ae1f7c256055c097639c2edb9eb123af9807d8b15e4 \
--hash=sha256:58d4aa13a59c969dbfdf9e6a9560e242cbfd9e8a8f50c2747714df1a423adf65 \
--hash=sha256:59171c6e45bf07d0d5cab3b0bf81d945035530f6873398b3b531c31184d46663 \
--hash=sha256:5b6d1386bf0096d26d3a863dc0a487a5b4eb9aa93cf5ba69683d29dde6b9d60f \
--hash=sha256:5c0ea61a470e070686aa30892fed79e297d2c8d0ab46b8bcdf027d38c51da591 \
--hash=sha256:5c84bec0ab5ae0c64bfe73a7d2adcb5ce73b467523fc27fd6a28ab2aa6cbe35a \
--hash=sha256:5ca0555312ae2fe82715cada7fac375530c2f3349e1eaa1bcb33d0283ac79a18 \
--hash=sha256:5d8531a6569d025f68e2321e7638fb7978f23db58e5f69f56913837aae03816e \
--hash=sha256:5e2d0e146dcb57034f8b97dc58d2d512cb90aba253960ce449f695fec6a82c6f \
--hash=sha256:5fc45d653ea8c9a20479167e11d4a0f8cb2fa3470737ab6f9c827532313187b7 \
--hash=sha256:6117b84ea48435e5356dc737f5121485c30920ba43375fa7b434fd753df0eac3 \
--hash=sha256:6199d5606e2bbf2b096cf64d03f8b6790c91081d5ac866b8e7bb6422738cc60c \
--hash=sha256:62b55f6722735a6c472f88361cde6640608773d9443cebdbb51abf436a1fcdd3 \
--hash=sha256:687c9ca3035544b113bea2055e180af96fb63c0c476e22a9180f51925186e7b7 \
--hash=sha256:6b7430cf5728e68f6c462254009a6ef4086e1bea43cf2f57aa9c55fb4f50ff96 \
--hash=sha256:6ba32c4d2abf1d2fe7cf27d280f4cca5664233b0f885549c7761719eb977f486 \
--hash=sha256:6c9cdde8becb25a7fde49924511aa2644d6f8081cc8df8e9452724303348d8e3 \
--hash=sha256:6df0ec430f9a831772c23ca5a224cba36517a58a84bb32c32bb59a9fa67c47f6 \
--hash=sha256:6e2912d4babbc65196ac13c2f53468dc57fb8b9c25ef913e8c59ddf7c6dc0e1b \
--hash=sha256:6e5e4d73d588ca5ed09df1b7dcd1b203d1df3c542e3f50d126c947d432b10731 \
--hash=sha256:70055ff39b97c99e7ae40ea3e393fb62aa2e44dbd9b29f8d14f42fb0025c3959 \
--hash=sha256:706bfd38730a5ac7a365793269a00f4e988178cec121391f4248d84ad8c972e9 \
--hash=sha256:7235dc28fc6dd9d832ac7c7bce95367dedb85929f17368a0c2bee1e080b9acbf \
--hash=sha256:774d157f112367ff4abd29019f38f023c24e00e56edc7829c20e358a5a913ad8 \
--hash=sha256:77efcff2b23071c349402ac1066667a3d011f62398d81408c9b88ad991747c9e \
--hash=sha256:789b8982559ae28dad2356519f841655756cdcd96616410590ae0b17454ee64f \
--hash=sha256:7ac76cf9afd34929d76eb7fcb63be476a4853d8a96f0dcf2d0db68a0cbdf9885 \
--hash=sha256:7c0c10730342b0c9b35dd1d619beb8214e520bd96a1f870f452680b238aab3e0 \
--hash=sha256:823f82903d189af463d7df250ef1f7f696f3cee08cc8d91deb565e8d425f6506 \
--hash=sha256:838648accb3a7fd9803fd45c87bce8509648eb0c11bc34e216141300977244f2 \
--hash=sha256:854066be00447fa8de2ccbbe893e2ffc4b123ef16d897af794c1e18bd4a714b0 \
--hash=sha256:85d5855daafc240cc045c026d7a15fd198a09b0fc8ff6f5ecbb5297b509cb11e \
--hash=sha256:85de3134b5379856e323ba37c19c9256d39425f7b76a63af52b09fb4664c2e8f \
--hash=sha256:87e4f41d375c0b9be2fb5251aee4b8a689169e134535aed81bf085c3b647451e \
--hash=sha256:88ca277405c2d3b71c4e1c2ee0e7966e807bcba86a69d11e19ba199d18ae4491 \
--hash=sha256:88e85ab89cb822c1e635f51d6d32e488f94e002e70e2f492bdb8b945543f345a \
--hash=sha256:8ac8c94b6539074e0f40899301273ac8402b9b3e01c7b7ba269ff30340aaaf20 \
--hash=sha256:8fe532b3c966d1fb794e0698e4589d0444017ae77fc0b31edea13c0e35bcc449 \
--hash=sha256:9085f87b0e38a2b92b8923059b4e8789fe40d9279712d15dcc670048d77079af \
--hash=sha256:90b7481fb62fbe172c558bc6fd1c4c98d82004a54a7551f20e11ac9bf0b8708c \
--hash=sha256:92caef967d287a407085d61176fce4012b1dd62daed4eb6d5ceb26d3d2538712 \
--hash=sha256:9362dd90aa7dab48c0054a21187791ccf05473f7dba5d92b8033ae62164675e7 \
--hash=sha256:94d78ecec2605a8d0398b0f365d5f12a63248438516f5dac536a5eff7337df4a \
--hash=sha256:94fbf1c0c6cc0d3d5e50f9a9313a8cdca90dd696d34b381cd1704f8c9e939f20 \
--hash=sha256:950f23cb393f85543777b0433f082cddd25b51ab398eac7971146495679efe5f \
--hash=sha256:96eefc178f8636b9c760c5829345307fd81cfae9ab1e80997dbddeb0f54ee9a3 \
--hash=sha256:96fef3e886d6a9874b14f27fc193fbdc69d5d8035783d86aa4e1cea594e695f9 \
--hash=sha256:977cdbd483a9cff38179bea4fd754289a6f2195c7abd414aba85410b3e66cc5e \
--hash=sha256:978eab16f55b4ab2c2a745be9a0a840bf8f09a7f227d9c76eb30214d078865a5 \
--hash=sha256:994e883d17c559cdfd38c84003c8b27d25424a1077272a17e7cd27bfe0bf57b2 \
--hash=sha256:9ac4444d8d4fd4c4bd08bf451ed3167aa9e7ec6cdb41b648794f1d1103652e36 \
--hash=sha256:9b5db6052055d34d41230fb78d7c439c23dc536a9896f6cb039e8dd92cfc1263 \
--hash=sha256:9d9a0dc7cbe9bec24c3f767c9122c41fe5a1bc43f47cd099d00d393e09769de4 \
--hash=sha256:9dbdd9205662134957cf0c324f639bdc5031c0ca056e2369e238db75187c0f11 \
--hash=sha256:9eea3ab2597a5e65fe65296e2d6a84570845a6b55532d90333d740d48bbc850a \
--hash=sha256:a2028475ba855475b8b4d3cfeb4994269c967aea8b9892dfba907f4263a863a3 \
--hash=sha256:a3a370082ce34d0612f421e15fe011c53bb1feff21a26d06ad4fb244dab5a375 \
--hash=sha256:a545775cfe815855ea32d7c27731d79da358ef2055b4a25830231b1622dd18aa \
--hash=sha256:a5cbd90ecf0fc62e64726917ad083b73001f0563657a87ec3c0b504e277dc90d \
--hash=sha256:a6d095662e73e74f0a49988e0593373e243e3a52e27bfeea0a859e88acf4a0f5 \
--hash=sha256:a6dac12ff6b846103483683f60c5f8fee205121adc58ffd87e90a90a3af69e99 \
--hash=sha256:a951ad59cad9145664a730d3036b40b844e74d2d3683da40111463cd3a83845d \
--hash=sha256:aa1099b956fb795e686d073568f6dc002a0bb89765ea6d5b055dd7d9bf1b116c \
--hash=sha256:aa2bb0b37202dca27175591f761108b5d34096ade1191ffe4808bdf6b1571488 \
--hash=sha256:aae2ee51122d3ae968a3837d97dc24a0aeebb0dea23694422cd172bd30017cd6 \
--hash=sha256:ab743e9bc90c1f73552ec33e10e3331315acd2c397b36065b591b0181de533cc \
--hash=sha256:ac00177c4831ffa650f8609e4bdddd5fe09c03b1c0c47acece7e6ea20421598b \
--hash=sha256:ac13b004224fb341e1e25a1ed5e19d32f57cdb2a403e01f003b46f051a550f6f \
--hash=sha256:acaf604462bf330b0d07e7a07c1d6e4adac79e5fb13e9c5140590542cafacc00 \
--hash=sha256:ae31a1a1db2ee6cc2942fccaf695c934bc7f3db9f2133a3fef1f367cf1a4ab10 \
--hash=sha256:ae4a097991662cd4fff0ddc74e0fe7874f82e00042fa0ea00855645ed0c79598 \
--hash=sha256:aea996a6aba25260827c9ea511d1addfde2da9eb686ac961838509086188b7e6 \
--hash=sha256:b39b69b347e5e47a3b5b8cfc005c68c1ba347474e3960236c4944a8ecd174962 \
--hash=sha256:b54e7e13267d49ffbfe68e25b3cbd774dab38fa37238f71265e91b36146eb21c \
--hash=sha256:b9af956078716df40d985fb0dfeb2c2120c5ca92ba4ff4b388acfd01cdc14d08 \
--hash=sha256:ba2f37ee79e6338845261a3c5b1784e5d1acdff2c0785b284f1b633033d136ab \
--hash=sha256:ba501e667c17d8411f98e67a022d9604ef179aff0e459b7e292c796837c13573 \
--hash=sha256:baf3775a2635e5a11fbd5e4e64ee69c7e86875d224a5c72aca4c141064589a90 \
--hash=sha256:bb57753e36e4855b8ca375069482250a6246372331a3e4f3407eaebb007443f5 \
--hash=sha256:bd6c173f04743d483881bffa1478d5a4624475b8cd1d2194956a75548e191c18 \
--hash=sha256:be47f99644b208bff7766314013f9acf57b056b04191d570d68ad14022cf5b1d \
--hash=sha256:c010f5581d9c612804cc59fcf7b524b707fbcb72828551237ab545bb5c7034af \
--hash=sha256:c1dcc36dcb96abc02236e182d17e0f71430152a6c2c7447421da2d2dc144edea \
--hash=sha256:c428c6c31eb5f4277d7f8eccaf767fbd548ddd5ce3c8b4f4cbbfab3d96b5904c \
--hash=sha256:c658c50ac0c98cd755a2dd50b7977d3bca7df401dcc47fbdfa87db53ef7d4e8b \
--hash=sha256:c71fb0d56c920c269cd3e2e3fe7c610e3f1fdb21a6ce60efa6430ff63676cea6 \
--hash=sha256:c7b742bf31c88566b4bb6335a7f393bb322e580b6bb98df7bd0c25e6e3519ce8 \
--hash=sha256:cc0329df4caaceb950d2f580b5ac716a377f7059624a0bafaeaf8a218c6ed774 \
--hash=sha256:cc5d36d96478aa9c60654bd932525bf32964c62a7281eafdf16d85003a8d6004 \
--hash=sha256:ce854f5f478050ade5a238731c4ca985a7d3b3cb53ff600a9b5c3b689b5f0a7a \
--hash=sha256:ced3fdd71aaa83ce593746c2edb42b7a59cb4c19c8b5c407781c72e493aae55a \
--hash=sha256:cee5dd7c6fb5dd52a0fe2a740f9bc6e3593f5f8b1788bde49de02086f30182b2 \
--hash=sha256:cfa1c0cc3a8f9f53f1243a5a99ac36fd003880199383b37672e86ddda9cb07e2 \
--hash=sha256:d1ee1e296209fdce05b81b663250eefa02213a2da7b41bf26f7829b8ba3545aa \
--hash=sha256:d59b75732e9b6f27388e10c14b0259cc5f2e48c78627d185e6a177b58ad3cffe \
--hash=sha256:d63600d620ad0064c3a748b950ac5ea38a80190e5498532efefa4b7b3f1da1f3 \
--hash=sha256:dd732602a7009217f658d5863d12d79d373a4de0eebc111094bcdd3bb8e0a6cc \
--hash=sha256:e06efa066f7dbadbc84ebc126a97c452a6451dfcf589d89d788484949e1cf795 \
--hash=sha256:e199fb99720074809a7720f1c0b4d919eea8b87e88713e0f8f602f7bef543d9d \
--hash=sha256:e4b018dc5a0eee4676e38fe84a47a427816c590b93b55d9025274ec4d6ffc2dc \
--hash=sha256:e6621fb2a4988d6e53eedc455e5903e2679f3967b8acb3d639f1b63c14a2e893 \
--hash=sha256:e71c909f353863b2b89c83de2ebed71ea6d0df8a6ef65a128193c5e650766bef \
--hash=sha256:e90251c0c7bdd54a100a0dce3c07b7e637278c93af29dbf78ebb89a58c4bac7d \
--hash=sha256:e9fbdce1e47394b09bc9f26ab117dfc8d6491977a11d86f592bb42c779db2fda \
--hash=sha256:eb12fb2ba69ffa05f8695f61c69e591dc4b4a12ac3757ac8af8adb259bf56d17 \
--hash=sha256:eda059b6bc8bc0812d626fd91a7ce01bf583df0a61296eff390fd94141a34e30 \
--hash=sha256:f03ac127268b43ef4fe9e6ab6794a6794b49485a0cc0c1db79876d2f33f75bc7 \
--hash=sha256:f298e218441525d3794428b4c8b8fb8662c6d3ea79925d4807ee6b9a96a3bca5 \
--hash=sha256:f5542f9b941279d82d41eb0aa9f98eba36fe4df5c7086c651df7944935b37182 \
--hash=sha256:f6f7deae3feb4edfa2efaf7c574fe88cbf055038a6abdb40188e4fff66d5699f \
--hash=sha256:f9b1e28d0e8dbfa858abdba91d6b547beaf2df1a59bec6da6faae7b96a4991a9 \
--hash=sha256:f9f8405c2c758532c74fed975dbee57be1f31a6e865c031870c79a6ed3212ada \
--hash=sha256:fa48b1b63d639f9483e0633e092f5851e2348c352f1f9bb6c8182f87884ef876 \
--hash=sha256:fb78f6e7fcd8ad785d28cd577168bc1aaee827b25bb8755638f694794ea98f0a \
--hash=sha256:fbc597639158fd7c14d55e808718848319540f51b0e6746e3eefa59723a4a348 \
--hash=sha256:fce8cbd4997efeb450bd298b54f755dcdff18d496f7a5ddbb4867c6d7c88fdc3 \
--hash=sha256:fd0350afdc3aabd5576f60ea109228bd5538139713c7b094c5cd27c73a98bc6f \
--hash=sha256:fd0a274c0e5f9a21565cd9d3dd749b61f96b7aa1e20a93aa1ba4029518f2e5c0 \
--hash=sha256:fdb8a068947befafba9952162645dc2fecaeb400e64584829ed5e9b2fbe21a7f
# via requests
cryptography==50.0.1 \
--hash=sha256:01f41478cf33fc605a6a089cd56d28b45c6c0b45a1928b61797f2621a04bac71 \
--hash=sha256:05ba322c4da95b262a212c345af888ef2c37c88c0509756ea00a0e6d68850f23 \
--hash=sha256:16c5ecd954b3330ebfb6605eca4fd952da8bef376551d5cc264534e3770a9ee6 \
--hash=sha256:2a93d05e34d5f67fba6f891fe85d929999baa7195e853923ea6d7576c9e68c5e \
--hash=sha256:2b34d76a652ea2b6faf777c35df230c5637842cd904e04f16230c3f9f03e4361 \
--hash=sha256:2ebbfb0f1fed745e91796e3e1080a1440423fdae8ece1b995a1d80883a409054 \
--hash=sha256:30a125032e5642a21ff816e021152bd4e7e94f03eff3f4b7fca41cd22bc3110f \
--hash=sha256:330fbb252391c596f1ae42c5754449dc924e6ad012dca8efe0d703f9f2d12ec6 \
--hash=sha256:359e62deae718bce96170e223fdcb6357e4fbd3bb7a3a75f4430763532560e49 \
--hash=sha256:407fe2b6db00939c05c0e945e9914238f2f0a430974839429dafc82b1ee6bee5 \
--hash=sha256:42be3bb70596b3abe4ac097b75be223e8b3ab614a0e5de068e3dcc54d71d6149 \
--hash=sha256:4c4188f7c0cf655be5c06342b817ed0f9595b69ffa2b12026e5353eed29dea88 \
--hash=sha256:51593d180cf6d179bde5c5d065bed81386b1f381656ae7d042b7ffc87a9895ad \
--hash=sha256:51afcfceb15597cf2635068e4ac9a56b2abde622edde17f37d85fd7b5306497a \
--hash=sha256:53e279950892dc102c6b4e52af03ae5ea92fac572a1ddab78ca73a997f62b69f \
--hash=sha256:55d16b1ef3ee0958d893a977b19777887e546c9954ea81b200c3301a864013f2 \
--hash=sha256:5dd9bda1c12b4162f6ff568eeb5e0ff956c28d14406e875cfe8a63a2d414ff20 \
--hash=sha256:5fe002589592ed749ce77fe0695fcbd3500dd61d7d6db5858a7544c612fa8e45 \
--hash=sha256:5fe939deeb161024a6be98229c953b6591fef1f41214497a78fe793a244c017f \
--hash=sha256:693c99b49bd37d0d096e4334c10232c77248c415b98d35236094cdf96d57258b \
--hash=sha256:76de83fbd91ac49c0feaaa983d0748fd7a53176afac5fb3bf7478d244f0eb527 \
--hash=sha256:79bf008d1f9af6071c797ad133e39915dfee7614f18f18f4db9072eb715064a3 \
--hash=sha256:804728ce710890870f3aaa344b2e161172d258d768ac139d02cfd9092d0d94e6 \
--hash=sha256:8921d58f426793c5f1b47f0b59575780de9a095214958d0eb37d909593db8367 \
--hash=sha256:8df2de9102026855887e4587084f6eabd80ed0f345b8ad8a7ac27ab9bf4723e0 \
--hash=sha256:9cb3cb952cf5a8abd50c782a98a89d71699715e802fe349704b47f2425b42a94 \
--hash=sha256:9dde0a357190eb3b1da1bb9ab750e9c85cba82ca5977aa0836cbb94e92611239 \
--hash=sha256:9ebcdd5519be9b652a46f507817a74591774fc3d6923ac364e4dfa64e36b291b \
--hash=sha256:a0b1a59e3a089064a0ec309e9428c8e3ae4e161419d20ac33600767e83fc658a \
--hash=sha256:a255449073358275b64b67d3f595f268bbef70e72b6edb65e0c70c735bf739c9 \
--hash=sha256:a8f40ea47330e71b594a7e246898f93177c259490c63183dbaf9e571d71ed9a5 \
--hash=sha256:ac02b07824d4d1001bd4367599f839c19cb171924c796e52c23508ac14c2c0cc \
--hash=sha256:aed8db4f6d71c51efb89530e12d9464e7bf2923d46c3205dc794a2a93f8c0648 \
--hash=sha256:b8f852c65863251b9e3a1b8c150ce21e59b522dbb6a7d4bc80e680d38388e986 \
--hash=sha256:be224a65493ec5b74a158ff22a5522ce4a5ca1e543c647a3a4730d4a09e5f959 \
--hash=sha256:ca83d00d9e69cd5eb63f2e69c3a5a59e0cecae5ae14c6ae0b35830fe3b37bad0 \
--hash=sha256:cbf74a81765ee67413503ca6e26dcc4f6f5a519822436cc0a1b97aab6c1b8a17 \
--hash=sha256:d63ae8f6481fec907ac0f588eee8a90aefde112c633131fe540e5711ddbb5a4e \
--hash=sha256:e22dfed744bd4002e909464cb23d2f0b05c6f3113a79ef2e9864a53db737c733 \
--hash=sha256:e2ca8fd1b6b4b82a1c4cb02841d0837e3c12336c2e24b520ab8ab3b969733d8f \
--hash=sha256:e74591e283fe6eb956416c929eb58262a719fe0311fd9054c62c3350ed8760d8 \
--hash=sha256:f74455bb086a85d5e81246412602aaa97ed095e504cd40dd261ef50be42205bf \
--hash=sha256:fb4b9672d389c738b175c4166e78310f8a70358886aacd9173ee03a85ffdc671 \
--hash=sha256:fc3ed7ebd2a8c96f5b166de0ab9b624996bef3b07bbeb19364dfb78222c22c80 \
--hash=sha256:fd3718b960d0b5dd213cdf03f3bcb7000e69dda0de8b956061947ff6bcff5558 \
--hash=sha256:ff838d62ec1bfce4f9ba7fa16f4a7b554cd8d0c299e6be37502161a660c84eef
# via secretstorage
docutils==0.23 \
--hash=sha256:25d013af9bf23bc1c7b2b093dff4208166c53a94786c9e447808335ef1185fea \
--hash=sha256:746f5060322511280a1e50eb76846ed6bf2342984b2ac04dc42caa1a8d78799e
# via readme-renderer
id==1.6.1 \
--hash=sha256:d0732d624fb46fd4e7bc4e5152f00214450953b9e772c182c1c22964def1a069 \
--hash=sha256:f5ec41ed2629a508f5d0988eda142e190c9c6da971100612c4de9ad9f9b237ca
# via twine
idna==3.19 \
--hash=sha256:5e0811a4383b21dc5838069f801c4fb62113b7447663d2530d2bd6e77b49bf15 \
--hash=sha256:815e7be7a7806d54abb586dc943addc79e8b2ee16915059658cbeff4b1b43bf4
# via requests
importlib-metadata==9.0.1 \
--hash=sha256:ab830580bc0ef3db61ce8fae716389e5462b67e033018bab6d8f80ef17172f99 \
--hash=sha256:bba5600596a7e21f3eef53281cf28d6a5195634d2f2b78ff9501a3272c6eaab0
# via keyring
jaraco-classes==3.4.0 \
--hash=sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd \
--hash=sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790
# via keyring
jaraco-context==6.1.2 \
--hash=sha256:bf8150b79a2d5d91ae48629d8b427a8f7ba0e1097dd6202a9059f29a36379535 \
--hash=sha256:f1a6c9d391e661cc5b8d39861ff077a7dc24dc23833ccee564b234b81c82dfe3
# via keyring
jaraco-functools==4.6.0 \
--hash=sha256:880c577ec9720b3a052d5bc611fb9f2269b3d87902ef42440df443b88e443280 \
--hash=sha256:99e3dc0060c5cbe8fcd1cdb36258e2a65ca40f1566b2033b12abb1bb44dd3c30
# via keyring
jeepney==0.9.0 \
--hash=sha256:97e5714520c16fc0a45695e5365a2e11b81ea79bba796e26f9f1d178cb182683 \
--hash=sha256:cf0e9e845622b81e4a28df94c40345400256ec608d0e55bb8a3feaa9163f5732
# via
# keyring
# secretstorage
keyring==25.7.0 \
--hash=sha256:be4a0b195f149690c166e850609a477c532ddbfbaed96a404d4e43f8d5e2689f \
--hash=sha256:fe01bd85eb3f8fb3dd0405defdeac9a5b4f6f0439edbb3149577f244a2e8245b
# via twine
markdown-it-py==4.2.0 \
--hash=sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49 \
--hash=sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a
# via rich
mdurl==0.1.2 \
--hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \
--hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba
# via markdown-it-py
more-itertools==11.1.0 \
--hash=sha256:48e8f4d9e7e5878571ecf6f2b4e57634f93cd474cc8cfbd2376f2d11b396e30d \
--hash=sha256:4b65538ae22f6fed0ce4874efd317463a7489796a0939fa66824dd542125a192
# via
# jaraco-classes
# jaraco-functools
nh3==0.3.7 \
--hash=sha256:157ec1eb7a62f3d9a7badb8d82d89aa810e3e24e097eedfa481a25d0c8a99877 \
--hash=sha256:15f5fbf090f5c88d61c820e1fc1fceecb6520cca9fe85649c06b57ef9dc9ff62 \
--hash=sha256:18f4278ecd157d43cb35acd5aae9f35cfa79f546b4922bd86536adc0f6312102 \
--hash=sha256:19f288c938ec6eef1f5d2c6cab47838e71fef8097e1c1233802be5a6230ba086 \
--hash=sha256:4968fe8d2db97c6f047659bf46a449fd8ec377f44ebf3e0a1b96c0d3a333ae32 \
--hash=sha256:5ffdfcb9a686ffb12765376bcfb6b5b55728516d3c0ee317d29982381ded3df8 \
--hash=sha256:614dac4a4c36ad084e78447d16fe898dedd762e354a7ab9cda2984e82f67883d \
--hash=sha256:618e3059caf41ccdf5dcccb3fa9df4cf6e4efe23d1382a8bbfca272a8a4f8bfc \
--hash=sha256:6698a822132beedab80f131c08d8d0ac5a178ddeb488d02ca4b67716ecfac7af \
--hash=sha256:6c3aa50eb26e9228238271db9f983cbc3b006dfbfeca2d4dc34c33ddc6ac5ea5 \
--hash=sha256:6e4280115d44c3b278eef712a86748c1a723105cd79feec46952383117ab4e59 \
--hash=sha256:70f5ac8626e899a4bab0ef74ca2f5bd602f49c7b739e6e5026b4afc6d63dac42 \
--hash=sha256:71860d01c16f4d8c72e334e0674beb2b0899dbd0bf760de18932ef4390303848 \
--hash=sha256:808def0c8c07843e6e50dc84f532457bfa2cfd17417b219a5d9e7c773709331a \
--hash=sha256:874b7d67a067bd29a59223f6270fc30da4edd8e6d87fd219fc93bcbaa662c946 \
--hash=sha256:91a4dab4e94d9fc54b9f67b1adfb23e81fab7ab43f33c3b8c97be9aa38f789ba \
--hash=sha256:94fd6e59553fbb9ffd8ba71bbd5a54e3126ba01799a097ae30d5341d750bc6ac \
--hash=sha256:9b7279d43323a25225df23576af6594a16693f61431170848b8b2ac21ad4f174 \
--hash=sha256:bc42bb1193c1e28a1e74c2cabaca178e118a7103e8832699fef8a2b3e2496493 \
--hash=sha256:be53a4825585f701955cb9baf49f478f56eb81e20294329fe4bc689dd5dd81fa \
--hash=sha256:d56e76bd3cadb09b6b0cef364850811663734b348a25f5f587a2819c495367bd \
--hash=sha256:de2b2aab32ea303405debefdcfc58043d3e635fa3f67b9eb140d2b0e0c0d2563 \
--hash=sha256:e8fd1ab205258b29254f72db377d99e2c96aa7653ef3b015ccab0420b094b506 \
--hash=sha256:eae64328e46a25785535afcb6885b6f182ecaf5ee8c88f8c075422db8aacc65b \
--hash=sha256:f04b7d333b27f13ca439da3cf1c75c2fba34f104969f6ce4ac8e7079699c2f4a \
--hash=sha256:f266d3f1b3647449923a8e406524632220dd5d8b647078dfe45b885d33d10479 \
--hash=sha256:fd4a70efb45d5372174f718878eb7a35c12677626a63b2f103b23b833457dcac
# via readme-renderer
packaging==26.3 \
--hash=sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79 \
--hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
# via twine
pycparser==3.0 \
--hash=sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29 \
--hash=sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992
# via cffi
pygments==2.21.0 \
--hash=sha256:2363c69b61c4a97c838da3b130dcd6468f4848992b21a82f2a63ec34377137d9 \
--hash=sha256:610ca751c9bc2492b38eb9a38a7fbc93edbbb2d7182edaf34e66ae493dee5c8c
# via
# readme-renderer
# rich
readme-renderer==46.0 \
--hash=sha256:af3e964914f6310a33ff67b72a4bdd940bed8d7c3bdecd2d14f40edf284bfe90 \
--hash=sha256:d0dae1f74bb273b534770cb4cccb6bb78735540afdb03c2146f4e19dcd412560
# via twine
requests==2.34.2 \
--hash=sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0 \
--hash=sha256:f288924cae4e29463698d6d60bc6a4da69c89185ad1e0bcc4104f584e960b9ed
# via
# requests-toolbelt
# twine
requests-toolbelt==1.0.0 \
--hash=sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6 \
--hash=sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06
# via twine
rfc3986==2.0.0 \
--hash=sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd \
--hash=sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c
# via twine
rich==15.0.0 \
--hash=sha256:33bd4ef74232fb73fe9279a257718407f169c09b78a87ad3d296f548e27de0bb \
--hash=sha256:edd07a4824c6b40189fb7ac9bc4c52536e9780fbbfbddf6f1e2502c31b068c36
# via twine
secretstorage==3.5.0 \
--hash=sha256:0ce65888c0725fcb2c5bc0fdb8e5438eece02c523557ea40ce0703c266248137 \
--hash=sha256:f04b8e4689cbce351744d5537bf6b1329c6fc68f91fa666f60a380edddcd11be
# via keyring
twine==7.0.0 \
--hash=sha256:85cdb29c518efef867360ae4acd4b0dfd61c8654a22fca08e6f8539f05022177 \
--hash=sha256:b854164df26db268af05f49aa5c0344b10e27a494343ff05b1e0bad3b135f5a7
# via -r .github/requirements/twine.in
urllib3==2.7.0 \
--hash=sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c \
--hash=sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897
# via
# id
# requests
# twine
zipp==4.1.0 \
--hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \
--hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602
# via importlib-metadata
-1
View File
@@ -1 +0,0 @@
uv==0.12.1
-23
View File
@@ -1,23 +0,0 @@
# This file was autogenerated by uv via the following command:
# uv pip compile .github/requirements/uv-tool.in --generate-hashes --python-version 3.11 --python-platform linux -o .github/requirements/uv-tool.txt
uv==0.12.1 \
--hash=sha256:04290ea4001dca31ac8a8324113a4930dccad69ce35dbf6eaae307d54880890d \
--hash=sha256:153ec0959a15397514438aefc1d7cd04235f335dd6bb53ea0f9e6e82c5a49f03 \
--hash=sha256:173ee216f17d89fc39f65339d311a53584fc7de4918d27c0f3c7edafabc6b54d \
--hash=sha256:1de49d9b04438f1ad2f41a1441dbbe19e230b94fca56d632818cfaed69e03bfc \
--hash=sha256:1e8fd95fe98768e29436ad57f9ef7b68dc294b7b9862ef63396af8b15ab85e6c \
--hash=sha256:27211df9b277f440dea438a4e525ba40250fb721ad39b8927eefc2d91f9aea15 \
--hash=sha256:29399e1e73b67ed24abe82bc971aa4eb8419c4de804784290f39cf681f0b51ce \
--hash=sha256:2e9b0b86e180abc5968b979c6e25203b32e85969abb5083ee1e8b88a5aa98a76 \
--hash=sha256:3bd5db002adc763aa8d277f5b44f8d6e3fd82d20f2e51225b0bbdae1badc7259 \
--hash=sha256:41b8fc2335f682312a1ca39a7b4abfd6af800992065c663582ca3e4d51cf9258 \
--hash=sha256:5bd04849dd5346517cc4e57b4b3aa0b01c67c423878260c04f5893a038fe25b6 \
--hash=sha256:6f7e72543264d2420ebb2ddc84696a751af2d6c5910046b7666589118f47292b \
--hash=sha256:71f86410264c69a3e8acd18171897dd8ab1a13350cf40f718e4def5db2b724be \
--hash=sha256:76d87de420213ca92fa403e87023c4c7c6956c6726c6b96d91c42cfe620173a3 \
--hash=sha256:9331dda0dc4990512c232f86e1d3a7b83c13f459777fcc2bd46030911b40eaaa \
--hash=sha256:b255ac23958e45f39f9c7a4cd65890df5ef46f539a3b14de03bd296bbba9cb60 \
--hash=sha256:bd02f2da212e6a983115dc64a6fc94e9256c2d60e056d6b669de0a6025aaec05 \
--hash=sha256:e35e0030480a8c3bf8ecd87ae4a6f6a224009e15e96a6fbb3634ac11ab75d582 \
--hash=sha256:ead7ad064f291a5df358c3ffa8ffab347a32bd5a75a6a068ca22254c2539a829
# via -r .github/requirements/uv-tool.in
+3 -21
View File
@@ -28,29 +28,11 @@ jobs:
BENCHMARK_REAL_LIBS: "1"
run: |
pip install -r .github/requirements/bootstrap.txt --require-hashes
# --no-deps + a hash-pinned install of the same base dependency set
# (rather than a bare `pip install -e .`) so every fetched package
# is hash-verified (Scorecard Pinned-Dependencies); the local
# editable install itself has nothing to hash.
#
# --no-deps only skips *runtime* dependency resolution - `-e .`
# still does a PEP 517 build, which by default creates an isolated
# build env and fetches [build-system] requires (setuptools,
# wheel) completely outside any hash checking. Install
# pep517-build.txt (pins that exact build-system.requires) first
# and pass --no-build-isolation so pip reuses those hash-verified
# copies instead of fetching its own.
pip install -r .github/requirements/pep517-build.txt --require-hashes
pip install --no-deps --no-build-isolation -e .
pip install -r .github/requirements/base-deps.txt --require-hashes
# NOTE: benchmarks/ does not currently exist in this repo, so this
# step and the run below it fail on any real invocation - pre-existing,
# unrelated to this pinning change. Left as-is since there's nothing
# to hash without knowing what belongs there.
python -m pip install --upgrade pip
pip install -e .
pip install -r benchmarks/requirements.txt
python -m spacy download en_core_web_sm
pip install -r .github/requirements/benchmark-extra.txt --require-hashes
pip install rdflib neo4j faiss-cpu torch pyarrow pdfplumber python-pptx openpyxl lxml python-docx beautifulsoup4 chardet langdetect
- name: Execute Benchmarks (Real Mode)
env:
+7 -30
View File
@@ -52,39 +52,16 @@ jobs:
# environment is installed. The Explorer extra supplies the
# production API dependencies without importing optional vector
# providers such as Pinecone during test collection.
#
# --no-deps + a separate hash-pinned install (rather than the old
# `pip install -e ".[explorer]" pytest==9.1.1`) so every fetched
# package is hash-verified (Scorecard Pinned-Dependencies); the
# local editable install itself has nothing to hash.
# .github/requirements/explorer-extra-py311.txt is
# `uv pip compile pyproject.toml --extra explorer --python-version 3.11 --constraint requirements-ci.txt --generate-hashes`
# - regenerate it the same way if pyproject.toml's base/explorer
# deps change. Resolved specifically for this job's python 3.11
# (see the Dockerfile's explorer-extra-py313.txt for why this
# can't be shared with python 3.13: audioread needs extra
# standard-aifc/standard-sunau hashes only on 3.13+).
#
# --no-deps only skips *runtime* dependency resolution - `-e .`
# still does a PEP 517 build, which by default creates an isolated
# build env and fetches [build-system] requires (setuptools,
# wheel) completely outside any hash checking. Install
# pep517-build.txt (pins that exact build-system.requires) first
# and pass --no-build-isolation so pip reuses those hash-verified
# copies instead of fetching its own.
pip install -r .github/requirements/pep517-build.txt --require-hashes
pip install --no-deps --no-build-isolation -e .
pip install -r .github/requirements/explorer-extra-py311.txt --require-hashes
pip install -r .github/requirements/pytest-tool.txt --require-hashes
pip install -e ".[explorer]" pytest==9.1.1
- name: Test deterministic Explorer backend path
run: |
pytest -q tests/explorer/test_explorer_deterministic_rendering_e2e.py
- name: Install pinned Python dependencies
run: |
pip install -r requirements-ci.txt --require-hashes
pip install -r requirements-ci.txt
- name: Verify requirements-ci.txt is up to date
run: |
pip install -r .github/requirements/uv-tool.txt --require-hashes
pip install uv==0.12.1
# Re-resolve with the committed file as a constraint: upstream package
# releases must NOT fail CI (deps only change when pyproject.toml
# changes intentionally). Compare only version lines (pkg==ver),
@@ -95,10 +72,10 @@ jobs:
diff \
<(grep -E '^[a-zA-Z0-9._-]+==' requirements-ci.txt | sed 's/ \\$//') \
<(grep -E '^[a-zA-Z0-9._-]+==' /tmp/requirements-ci-check.txt)
# build is a dev-time dependency; wheel is build-time only (neither is
# in requirements-ci.txt) — install the same pinned versions
# [build-system] declares so --no-isolation works below.
- run: pip install -r .github/requirements/build-tools.txt --require-hashes
- run: pip install build
# wheel is build-time only (not in requirements-ci.txt) — install the
# same pinned version [build-system] declares so --no-isolation works.
- run: pip install wheel==0.48.0
- name: Build package (no isolation — pinned deps)
run: python -m build --no-isolation
- name: Verify Explorer frontend is packaged
+2 -4
View File
@@ -10,15 +10,13 @@ on:
permissions:
contents: read
security-events: write
actions: read
jobs:
analyze:
name: Analyze Python
runs-on: ubuntu-latest
permissions:
contents: read
security-events: write # for github/codeql-action/upload-sarif below
actions: read # for github/codeql-action/init's CodeQL bundle cache lookup
steps:
- name: Checkout repository
-75
View File
@@ -1,75 +0,0 @@
name: Container Security Scan
on:
push:
branches: [main]
# Mirrors .dockerignore's opt-in list exactly - anything not listed there
# can't reach the build context, so it can't change the built image.
paths:
- 'Dockerfile'
- '.dockerignore'
- 'pyproject.toml'
- 'README.md'
- 'LICENSE'
- 'MANIFEST.in'
- '.github/requirements/explorer-extra-py313.txt'
- '.github/requirements/pep517-build.txt'
- 'semantica/**'
- 'integrations/**'
- 'explorer/**'
- '.github/workflows/container-scan.yml'
schedule:
- cron: '30 2 * * 1' # weekly, catches new CVEs published against the base image between pushes
workflow_dispatch:
permissions:
contents: read
jobs:
scan:
runs-on: ubuntu-latest
permissions:
contents: read
security-events: write # for github/codeql-action/upload-sarif below
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7
- name: Build image
run: docker build -t semantica:scan .
# Run Trivy as a digest-pinned image rather than the aquasecurity/trivy-action
# marketplace wrapper: the aquasecurity GitHub org has an IP allow list on its
# API that 403s verify-action-pins.sh's live tag->SHA check from Actions-runner
# IPs, and this repo already treats Trivy's action pin as a known past target
# for tag-repointing (see the LiteLLM/Trivy 2026 incident note above). Pulling
# by sha256 digest from Docker Hub is immutable and verifiable independently of
# GitHub's API, so it sidesteps both problems at once instead of carving a skip
# exception into the pin verifier for an org already flagged as higher-risk.
#
# Report-only for now: this is Trivy's first run against this image, so we
# don't yet know the CRITICAL/HIGH baseline. Findings still land in the
# Security tab either way. Once triaged, add `--exit-code 1` (like
# Safety/Bandit-HIGH in security-scan.yml) to make it a hard gate.
- name: Scan image for vulnerabilities (Trivy)
run: |
docker run --rm \
-v /var/run/docker.sock:/var/run/docker.sock \
-v "$PWD:/output" \
aquasec/trivy@sha256:62b1e65e8869bc4b4c6aa4fa2b21595256c7c2f6018a9d9ad61caf87187c1969 \
image --format sarif --output /output/trivy-results.sarif \
--severity CRITICAL,HIGH --ignore-unfixed semantica:scan
- name: Upload Trivy SARIF
if: always()
uses: github/codeql-action/upload-sarif@cdf488f595d80d6e07e03d4674febd5ab45fa938 # v4
with:
sarif_file: trivy-results.sarif
category: trivy-container
- name: Generate SBOM (Syft)
if: always()
uses: anchore/sbom-action@3ad7283483fc7af8ff2b4ea19663c2d5ca935e26 # v0.24.2
with:
image: semantica:scan
format: spdx-json
output-file: semantica-sbom.spdx.json
+2 -4
View File
@@ -28,14 +28,12 @@ on:
permissions:
contents: read
security-events: write
jobs:
MSDO:
# currently only windows-latest is supported
runs-on: windows-latest
permissions:
contents: read
security-events: write # for github/codeql-action/upload-sarif below
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7
@@ -68,7 +66,7 @@ jobs:
python-version: "3.12"
- name: Install Checkov
run: pip install -r .github/requirements/checkov.txt --require-hashes
run: python -m pip install checkov==3.3.1
- name: Run Checkov
shell: pwsh
-59
View File
@@ -1,59 +0,0 @@
name: Install Matrix
permissions:
contents: read
on:
schedule:
- cron: '0 6 * * 1' # weekly, catches upstream dependency breakage between releases
workflow_run:
# The Release workflow publishes the GitHub release *before* it uploads to
# PyPI (see release.yml), so triggering on `release: published` would race
# the PyPI upload and could pass by silently installing the prior version.
# workflow_run fires only after the whole Release workflow - including the
# PyPI publish step - has finished.
workflows: ['Release']
types: [completed]
workflow_dispatch:
jobs:
verify-install:
if: github.event_name != 'workflow_run' || github.event.workflow_run.conclusion == 'success'
name: pip install semantica (${{ matrix.os }}, py${{ matrix.python-version }})
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
python-version: ['3.9', '3.10', '3.11', '3.12']
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7
- name: Pin expected version for release-triggered runs
id: expected-version
if: github.event_name == 'workflow_run'
shell: bash
env:
EXPECTED_TAG: ${{ github.event.workflow_run.head_branch }}
run: |
expected="${EXPECTED_TAG#v}"
if [ -z "$expected" ]; then
echo "::error::Could not determine a release tag from the triggering workflow run (head_branch was empty)."
exit 1
fi
echo "constraint===$expected" >> "$GITHUB_OUTPUT"
- id: setup-semantica
uses: ./.github/actions/setup-semantica
with:
python-version: ${{ matrix.python-version }}
cache: 'pip'
version: ${{ steps.expected-version.outputs.constraint }}
- name: Smoke test import
shell: bash
run: |
python -c "
import semantica
print('semantica', semantica.__version__, 'installed and importable')
"
+8 -26
View File
@@ -16,7 +16,7 @@ jobs:
cancel-in-progress: false
permissions:
contents: write # for the GitHub Release
id-token: write # for PyPI Trusted Publishing (OIDC), attestation signing, and Sigstore
id-token: write # for PyPI Trusted Publishing (OIDC) and attestation signing
attestations: write # for SLSA build provenance
# If you add another job to this workflow, give it its own explicit
# `permissions:` block rather than relying on the workflow-level default
@@ -39,11 +39,11 @@ jobs:
# Install the pinned dependency set (with hashes) so the sdist/wheel
# build runs against the same versions CI tests against.
- name: Install pinned build dependencies
run: pip install -r requirements-ci.txt --require-hashes
# build is a dev-time dependency; wheel is build-time only (neither is
# in requirements-ci.txt) — install the same pinned versions
# [build-system] declares so --no-isolation works below.
- run: pip install -r .github/requirements/build-tools.txt --require-hashes
run: pip install -r requirements-ci.txt
- run: pip install build
# wheel is build-time only (not in requirements-ci.txt) — install the
# same pinned version [build-system] declares so --no-isolation works.
- run: pip install wheel==0.48.0
- name: Build package (no isolation — pinned deps)
run: python -m build --no-isolation
- name: Verify Explorer frontend is packaged
@@ -63,29 +63,11 @@ jobs:
print("Explorer frontend is packaged")
PY
- name: Verify PyPI long-description will render
run: |
pip install -r .github/requirements/twine.txt --require-hashes
twine check dist/*
- name: Attest build provenance
uses: actions/attest-build-provenance@4d101475d8b20a2381f78447822ac1eab6504dd8 # v4
with:
subject-path: 'dist/*'
# attest-build-provenance publishes to the GH attestations API only, which
# OpenSSF Scorecard's Signed-Releases check does not inspect - it looks for
# signature files attached as release assets. Sign here too so
# `dist/*.sigstore.json` bundles ship alongside the wheel/sdist on the
# GitHub Release itself.
- name: Sign artifacts with Sigstore
uses: sigstore/gh-action-sigstore-python@790bc6befb9d733738f18d8f895854b453640ec9 # v3.5.0
- uses: softprops/action-gh-release@3d0d9888cb7fd7b750713d6e236d1fcb99157228 # v3
with:
inputs: |
dist/*.whl
dist/*.tar.gz
- uses: softprops/action-gh-release@efb35369e0ad2afab669f228072c1b0d510eae64 # v3.0.3
with:
files: |
dist/*.whl
dist/*.tar.gz
dist/*.sigstore.json
files: dist/*
- uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # release/v1
-45
View File
@@ -1,45 +0,0 @@
name: Scorecard supply-chain security
permissions: read-all
on:
branch_protection_rule:
schedule:
- cron: '30 1 * * 6' # weekly
push:
branches: [main]
jobs:
analysis:
name: Scorecard analysis
runs-on: ubuntu-latest
permissions:
security-events: write # to upload SARIF results
id-token: write # to publish results and get a badge
contents: read
actions: read # to detect GitHub Actions workflows
steps:
- name: Checkout code
uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7
with:
persist-credentials: false
- name: Run analysis
uses: ossf/scorecard-action@2d1146689b8cda280b9bc96326124645441f03bc # v2.4.4
with:
results_file: results.sarif
results_format: sarif
publish_results: true
- name: Upload artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: SARIF file
path: results.sarif
retention-days: 5
- name: Upload to code-scanning
uses: github/codeql-action/upload-sarif@cdf488f595d80d6e07e03d4674febd5ab45fa938 # v4
with:
sarif_file: results.sarif
+3 -3
View File
@@ -44,15 +44,15 @@ jobs:
- name: Install dependencies
run: |
pip install -r .github/requirements/bootstrap.txt --require-hashes
python -m pip install --upgrade pip
# Install the pinned dependency set FIRST so Safety scans Semantica's
# exact CI/release dependency tree (requirements-ci.txt is generated
# from pyproject.toml extras, so this covers the project's real deps).
pip install -r requirements-ci.txt --require-hashes
pip install -r requirements-ci.txt
# Tooling AFTER the pinned set: installing safety/bandit/semgrep/jq
# first lets the pinned requirements overwrite their transitive deps
# (e.g. rich), which breaks the safety CLI at runtime.
pip install -r .github/requirements/security-scan-tools.txt --require-hashes
pip install safety bandit semgrep jq
- name: Run Safety Check (Package Vulnerabilities)
run: |
+3 -3
View File
@@ -25,18 +25,18 @@ jobs:
# Upgrade first: actions/setup-python's baked-in setuptools has been
# behind known-vulnerable floors before (e.g. PYSEC-2026-3447 /
# setuptools 75.1.0), so don't trust the preinstalled one.
- run: pip install -r .github/requirements/bootstrap.txt --require-hashes
- run: python -m pip install --upgrade pip setuptools
# Audit the pinned dependency set (requirements-ci.txt is compiled from
# pyproject.toml with --extra all — the same coverage as the [all]
# extra, minus the Linux-only gpu set — so this keeps scan parity with
# CI/release builds without a time-dependent resolution). This is the
# fix for PYSEC-2024-38 (#869): the bare-env job never had fastapi or
# python-multipart installed to look at.
- run: pip install -r requirements-ci.txt --require-hashes
- run: pip install -r requirements-ci.txt
# PR runs gate on findings, since they're scoped to actual
# pyproject.toml changes under review. The schedule/workflow_dispatch
# runs stay non-blocking until a full pass over pre-existing findings
# across the whole [all] tree has been done.
- run: pip install -r .github/requirements/pip-audit.txt --require-hashes
- run: pip install pip-audit
- run: pip-audit -r requirements-ci.txt
continue-on-error: ${{ github.event_name != 'pull_request' }}
-20
View File
@@ -1,20 +0,0 @@
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "Semantica: Graph-Native Infrastructure for Context and Accountable AI Systems"
type: software
authors:
- name: "Semantica"
repository-code: "https://github.com/semantica-agi/semantica"
url: "https://getsemantica.ai"
license: MIT
version: 0.6.7
date-released: 2026-08-28
keywords:
- knowledge-graph
- context-graph
- ai-agents
- llm
- decision-intelligence
- provenance
- explainability
- graph-rag
+4 -38
View File
@@ -1,5 +1,5 @@
# syntax=docker/dockerfile:1
FROM node:26-alpine@sha256:2d984a15c9b54fd0aeb608b8e0d0d83529eb34d2966db27a1fb4f1edc3d298a3 AS frontend-builder
FROM node:26-alpine AS frontend-builder
WORKDIR /app
COPY explorer/package*.json ./explorer/
@@ -9,18 +9,7 @@ RUN npm ci
COPY explorer/ ./
RUN mkdir -p /app/semantica && npm run build
# CVE-2026-14456 (OpenSSL QUIC-server DoS, flagged against this base image's
# openssl/libssl3t64/openssl-provider-legacy): the Debian fix
# (3.5.7-1~deb13u2) is only in trixie-proposed-updates as of this writing,
# not yet promoted to trixie-security, so there's no package to pin here
# today. Deliberately NOT running `apt-get upgrade` to chase it - that
# breaks build reproducibility (terrascan AC_DOCKER_0052) and still
# wouldn't reach a proposed-updates-only package. Once Debian ships the fix
# and rebuilds this tag, the docker Dependabot ecosystem in
# .github/dependabot.yml opens a PR bumping the digest pin above. Also: this
# image only serves plain HTTP via uvicorn and never opens a QUIC listener,
# so the bug isn't reachable here regardless.
FROM python:3.14-slim@sha256:cae66f2ef0ec51a9891263eeee7f987dacf0a9879e8aa9353d5606e0530619a5 AS runtime
FROM python:3.13-slim AS runtime
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
@@ -33,35 +22,12 @@ WORKDIR /app
RUN groupadd --system semantica \
&& useradd --system --gid semantica --home-dir /app --shell /usr/sbin/nologin semantica
COPY pyproject.toml README.md LICENSE MANIFEST.in \
.github/requirements/explorer-extra-py313.txt .github/requirements/pep517-build.txt ./
COPY pyproject.toml README.md LICENSE MANIFEST.in ./
COPY semantica/ ./semantica/
COPY integrations/ ./integrations/
COPY --from=frontend-builder /app/semantica/static ./semantica/static
# explorer-extra-py313.txt is `uv pip compile pyproject.toml --extra explorer
# --python-version 3.13 --constraint requirements-ci.txt --generate-hashes`
# (see ci.yml's explorer-extra-py311.txt for the CI counterpart, resolved
# for CI's python 3.11 instead - the two aren't interchangeable: audioread
# (via librosa) needs standard-aifc/standard-sunau only on python>=3.13,
# since aifc/sunau left stdlib there, so a 3.11-resolved lockfile is
# missing hashes pip needs on this image's actual 3.13 interpreter and
# --require-hashes fails outright rather than silently under-pinning).
# Every fetched package is hash-verified (Scorecard Pinned-Dependencies)
# and pinned to the same versions CI audited, e.g. msgpack==1.2.1 and
# setuptools==84.0.0 (which also replaces the base image's vulnerable
# 70.3.0, CVE-2025-47273 - nothing else in the tree pulls a newer copy).
# --no-deps on the local package itself: it's our own source tree, not a
# fetch, so there's nothing to hash-pin there - but `pip install .` still
# does a PEP 517 build, which by default creates an *isolated* build env
# and fetches [build-system] requires (setuptools, wheel) completely
# outside any hash checking. pep517-build.txt pins that exact
# build-system.requires; installing it first and passing
# --no-build-isolation makes pip reuse those hash-verified copies instead
# of fetching its own.
RUN pip install --no-cache-dir -r explorer-extra-py313.txt -r pep517-build.txt --require-hashes \
&& pip install --no-cache-dir --no-deps --no-build-isolation . \
&& rm -f explorer-extra-py313.txt pep517-build.txt \
RUN pip install --no-cache-dir ".[explorer]" \
&& chown -R semantica:semantica /app
USER semantica
-131
View File
@@ -1,131 +0,0 @@
# Growth & Distribution Playbook
North star: **10,000 developers who actually use Semantica in real projects**, not a raw PyPI download number. Downloads are a lagging indicator of distribution, not a target to optimize directly.
```
GitHub stars → Website visitors → PyPI installs → Weekly active users → Production deployments → Enterprise customers
```
The last two matter far more than the download count.
## Guardrails — do not do this
- No fake/looping CI jobs that repeatedly `pip install semantica` purely to inflate the graph. It's detectable, it produces zero real users, and it damages credibility with anyone doing diligence (investors, enterprise buyers, security reviewers).
- No package-splitting purely to multiply install counts — only split into `semantica-*` packages when there's a real architectural reason.
- No meaningless Docker pulls or notebook launches with no real content behind them.
- Every item below should get someone from "installed it" to "used it for something real." If a channel can't do that, it's not worth building.
## 30-day priority sprint
Ordered by leverage-to-effort ratio; do these first.
| # | Initiative | Target |
| - | ---------- | ------ |
| 1 | ✅ GitHub Actions example + reusable `setup-semantica` composite action + install-matrix badge | done |
| 2 | Google Colab notebooks | 10 |
| 3 | Docker images (RAG, Graph, Agent, API) | 4-5 |
| 4 | Hugging Face Spaces demos | 3-4 |
| 5 | LangChain integration + example | 1 |
| 6 | LlamaIndex integration + example | 1 |
| 7 | Vector/graph DB integrations (Qdrant, Weaviate, Neo4j) | 3 |
| 8 | MCP server + example | 1 (already have `mcp/` — package as a distributable example) |
| 9 | Production-quality starter repos (FastAPI, Streamlit, Gradio) | 3 |
| 10 | `awesome-rag` / `awesome-llm` / `awesome-knowledge-graph` list submissions | 3+ PRs |
Push everything through: GitHub → Discord (`sV34vps5hH`) → X (`@BuildSemantica`) → GitHub Discussions → Reddit → Hacker News → relevant newsletters.
## Full channel checklist
### CI/CD (highest-intent distribution — installs tied to real pipelines)
- [x] GitHub Actions example in `examples/ci/github-actions.yml`
- [x] Reusable composite GitHub Action — [`.github/actions/setup-semantica`](.github/actions/setup-semantica/action.yml), modeled on `actions/setup-python`; usable by any repo as `uses: semantica-agi/semantica/.github/actions/setup-semantica@main`
- [x] "pip install" status badge in the README, backed by [`.github/workflows/install-matrix.yml`](.github/workflows/install-matrix.yml) — verifies the *published* package installs cleanly on Ubuntu/macOS/Windows across Python 3.9-3.12, weekly + on every release
- [x] GitLab CI template — `examples/ci/gitlab-ci.yml`
- [x] CircleCI template — `examples/ci/circleci-config.yml`
- [ ] Jenkins, Azure DevOps, Bitbucket Pipelines, Buildkite, Travis CI equivalents
### Release pipeline hardening (already had Trusted Publishing/OIDC + SLSA attestation — this rounds it out to match top-tier OSS release practice)
- [x] `twine check` gate in `.github/workflows/release.yml` before publish — catches a broken PyPI long-description render before it goes live instead of after (a malformed README on the live PyPI page is a silent conversion killer)
- [x] `CITATION.cff` (see Academic & research below)
- [x] OpenSSF Scorecard (see Discoverability below)
- [ ] Considered and deliberately skipped: Release Drafter / auto-generated changelogs — this repo hand-curates `CHANGELOG.md` with far more detail (PR numbers, contributors, phase-1 limitations) than a bot would produce. Don't introduce this without checking with maintainers first.
- [ ] Renovate / Dependabot config templates that auto-bump the `semantica` version in downstream repos — real recurring CI runs on real adopters
- [ ] Nightly scheduled workflow template that tests a downstream project against `semantica@latest`
### Containers & dev environments
- [ ] Official Docker images: RAG, Graph, Agent, API, `+Postgres`, `+Neo4j`, `+Qdrant`
- [ ] `docker-compose` examples (repo already has `docker-compose.dev.yml` / `docker-compose.yml` as a base)
- [ ] `.devcontainer/devcontainer.json` for one-click "Reopen in Container"
- [ ] GitHub Codespaces-ready config
- [ ] Gitpod config
- [ ] "Use this template" GitHub repo button so new projects start with `semantica` in `requirements.txt`
### Notebooks & hosted demos
- [ ] 10-20 Google Colab notebooks (Graph RAG, agent memory, entity resolution, semantic search, document intelligence)
- [ ] Kaggle Notebooks/Kernels
- [ ] Binder / mybinder.org config for instant repo launch
- [ ] SageMaker Studio Lab / Databricks Community Edition / Paperspace Gradient examples
- [ ] Hugging Face Spaces (Streamlit/Gradio) demos with `semantica` in `requirements.txt`
- [ ] Public hosted playground (source on GitHub, install visible)
### Framework & data-store integrations
- [x] LangChain integration — `integrations/langchain/` (`SemanticaRetriever`, `SemanticaVectorStore`, `SemanticaKGTool`/`SemanticaDecisionTool`), `pip install semantica[langchain]`, shipped in 0.6.7
- [ ] LlamaIndex integration + example
- [ ] LangGraph example
- [ ] Neo4j integration/example (docs already list it as a supported graph store — turn into a runnable example repo)
- [ ] Vector DB examples: Qdrant, Weaviate, Milvus, Pinecone, Chroma, FAISS, pgvector, OpenSearch/Elasticsearch (FAISS/Pinecone/Weaviate/Qdrant/Milvus/PgVector already supported per `docs/community-projects.md` — package each as a standalone example)
- [ ] LLM provider quickstarts: OpenAI, Anthropic, Gemini, Groq, Ollama, HuggingFace, DeepSeek, LiteLLM (already-supported providers per docs — each gets its own copy-paste quickstart)
- [ ] CrewAI / Agno integration examples (already documented under `docs/integrations/`) — promote as standalone repos, not just docs pages
### Package managers & installers
- [ ] conda-forge feedstock
- [ ] Homebrew formula for the CLI
- [ ] Nix/nixpkgs packaging
- [ ] Chocolatey / Scoop (Windows)
- [ ] Document `uv add semantica` and `poetry add semantica` explicitly alongside `pip install`
### Downstream packages & CLI
- [ ] Genuinely useful `semantica-*` packages only where warranted (e.g. `semantica-rag`, `semantica-connectors`) — each pulls `semantica` as a real dependency
- [ ] Make sure `semantica init / ingest / index / query / serve` CLI flows are the default onboarding path in every tutorial
- [ ] VS Code extension wrapping the CLI (scaffold + run commands from the command palette)
- [ ] JetBrains plugin equivalent
### Templates & starters
- [ ] Cookiecutter templates: `cookiecutter-semantic-rag`, `cookiecutter-ai-agent`, `cookiecutter-enterprise-rag`
- [ ] Starter repos: FastAPI, Streamlit, Gradio, Next.js frontend + Semantica backend
- [ ] Cloud deploy templates: AWS, GCP, Azure, Modal, Railway, Render, Fly.io (repo already has `deploy/azure`, `deploy/gcp`, `deploy/fly`, `deploy/railway`, `deploy/render`, `deploy/kubernetes`, `deploy/helm` — link these prominently from the README/quickstart, they're already-built distribution surface)
- [ ] Terraform / Pulumi / Helm modules published to their respective registries
### Discoverability & curation
- [ ] Submit to `awesome-rag`, `awesome-llm`, `awesome-knowledge-graph`, `awesome-python`
- [ ] Pitch newsletters with engaged Python/AI audiences (Python Weekly, Import AI, TLDR AI, etc.)
- [x] PyPI trove classifiers/keywords and `project.urls` (Homepage/Docs/Repository/Changelog/Bug Tracker) — already complete in `pyproject.toml`
- [ ] Get listed on Papers With Code for any retrieval/graph-RAG benchmark work
- [x] [OpenSSF Scorecard](https://scorecard.dev/viewer/?uri=github.com/semantica-agi/semantica) badge + weekly workflow (`.github/workflows/scorecard.yml`) — a concrete trust signal security/procurement teams check before greenlighting adoption, which gates real (non-CI-bot) install growth at enterprises
### Academic & research
- [x] `CITATION.cff` at repo root — enables GitHub's native "Cite this repository" button, feeds Google Scholar/academic tooling; complements `docs/citation.md` (still needs a real Zenodo DOI to replace the `XXXXXXX` placeholder in both places once one is minted)
- [ ] arXiv paper if there's real architectural novelty to describe
- [ ] Zenodo DOI for citability (`docs/citation.md` already exists — make sure it points to a real DOI)
- [ ] Workshop/tutorial sessions at PyData/ODSC-style events with hands-on install steps
- [ ] University course material / bootcamp adoption outreach
### Content
- [ ] Reproducible benchmark repos (Graph RAG vs vector RAG, retrieval@k, enterprise-scale retrieval) with `pip install semantica && python benchmark.py`
- [ ] 20-30 real-world example applications (RAG, enterprise document intelligence, financial entity graphs, code knowledge graphs, research discovery, agent memory)
- [ ] Blog/tutorial posts on Dev.to, Medium, personal blogs — always with runnable code, not just prose
- [ ] Contribute integrations/PRs to other projects building RAG/agents/knowledge graphs — "I implemented Semantica support" beats "please use Semantica"
## Tracking
Don't just watch the raw PyPI number — use download analytics (e.g. PePy) to separate CI/bot traffic from real installs, and track the funnel above end-to-end where possible (stars → site visits → installs → weekly actives).
+1 -15
View File
@@ -26,7 +26,7 @@
#### Built for High-Stakes, Regulated Domains
[![GitHub Stars](https://img.shields.io/github/stars/semantica-agi/semantica?style=flat-square&color=FFD700&logo=github&logoColor=white&label=Stars)](https://github.com/semantica-agi/semantica) [![GitHub Forks](https://img.shields.io/github/forks/semantica-agi/semantica?style=flat-square&color=6E40C9&logo=github&logoColor=white&label=Forks)](https://github.com/semantica-agi/semantica/network/members) [![Contributors](https://img.shields.io/github/contributors/semantica-agi/semantica?style=flat-square&color=2EA043&logo=github&logoColor=white)](https://github.com/semantica-agi/semantica/graphs/contributors) [![PyPI](https://img.shields.io/pypi/v/semantica.svg?style=flat-square&color=0066CC&logo=pypi&logoColor=white)](https://pypi.org/project/semantica/) [![Total Downloads](https://static.pepy.tech/badge/semantica?style=flat-square)](https://pepy.tech/project/semantica) [![Python 3.8+](https://img.shields.io/badge/python-3.8+-3776AB?style=flat-square&logo=python&logoColor=white)](https://www.python.org/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square)](https://opensource.org/licenses/MIT) [![CI](https://img.shields.io/github/actions/workflow/status/semantica-agi/semantica/ci.yml?style=flat-square&label=CI)](https://github.com/semantica-agi/semantica/actions) [![Install Matrix](https://img.shields.io/github/actions/workflow/status/semantica-agi/semantica/install-matrix.yml?style=flat-square&label=pip%20install)](https://github.com/semantica-agi/semantica/actions/workflows/install-matrix.yml) [![OpenSSF Scorecard](https://api.scorecard.dev/projects/github.com/semantica-agi/semantica/badge?style=flat-square)](https://scorecard.dev/viewer/?uri=github.com/semantica-agi/semantica) [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/semantica-agi/semantica)
[![GitHub Stars](https://img.shields.io/github/stars/semantica-agi/semantica?style=flat-square&color=FFD700&logo=github&logoColor=white&label=Stars)](https://github.com/semantica-agi/semantica) [![GitHub Forks](https://img.shields.io/github/forks/semantica-agi/semantica?style=flat-square&color=6E40C9&logo=github&logoColor=white&label=Forks)](https://github.com/semantica-agi/semantica/network/members) [![Contributors](https://img.shields.io/github/contributors/semantica-agi/semantica?style=flat-square&color=2EA043&logo=github&logoColor=white)](https://github.com/semantica-agi/semantica/graphs/contributors) [![PyPI](https://img.shields.io/pypi/v/semantica.svg?style=flat-square&color=0066CC&logo=pypi&logoColor=white)](https://pypi.org/project/semantica/) [![Total Downloads](https://static.pepy.tech/badge/semantica?style=flat-square)](https://pepy.tech/project/semantica) [![Python 3.8+](https://img.shields.io/badge/python-3.8+-3776AB?style=flat-square&logo=python&logoColor=white)](https://www.python.org/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square)](https://opensource.org/licenses/MIT) [![CI](https://img.shields.io/github/actions/workflow/status/semantica-agi/semantica/ci.yml?style=flat-square&label=CI)](https://github.com/semantica-agi/semantica/actions) [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/semantica-agi/semantica)
[![Website](https://img.shields.io/badge/Website-getsemantica.ai-000000?style=flat-square&logo=googlechrome&logoColor=white)](https://getsemantica.ai/) [![Docs](https://img.shields.io/badge/Docs-docs.getsemantica.ai-0099FF?style=flat-square&logo=readthedocs&logoColor=white)](https://docs.getsemantica.ai/) [![Discord](https://img.shields.io/badge/Discord-Join%20Community-5865F2?style=flat-square&logo=discord&logoColor=white)](https://discord.gg/sV34vps5hH) [![Twitter/X](https://img.shields.io/badge/Follow-%40BuildSemantica-000000?style=flat-square&logo=x&logoColor=white)](https://x.com/BuildSemantica) [![YouTube](https://img.shields.io/badge/YouTube-Watch%20Demos-FF0000?style=flat-square&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=QfnNZg4-dZA) [![Changelog](https://img.shields.io/badge/Changelog-View-6E40C9?style=flat-square&logo=keepachangelog&logoColor=white)](CHANGELOG.md)
@@ -1534,20 +1534,6 @@ git clone https://github.com/semantica-agi/semantica.git
cd semantica && pip install -e ".[dev]" && pytest tests/
```
### CI & Deployment
Wiring `semantica` into your own CI is a two-minute job. On GitHub Actions, use the reusable composite action:
```yaml
- uses: semantica-agi/semantica/.github/actions/setup-semantica@main
with:
python-version: '3.11'
```
Copy-paste starting templates for GitHub Actions, GitLab CI, and CircleCI live in [examples/ci/](examples/ci/). The published package itself is verified installable across Ubuntu/macOS/Windows and Python 3.9-3.12 every week by the [Install Matrix workflow](.github/workflows/install-matrix.yml).
Ready-made deployment configs for AWS, GCP, Azure, Fly.io, Railway, Render, Kubernetes, and Helm are in [deploy/](deploy/).
---
## Enterprise
-36
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@@ -1,36 +0,0 @@
# CI templates
Copy-paste starting points for wiring `semantica` into your own project's CI. Each file is a
complete, working config — rename it into your project (see the comment at the top of each file
for the target path) and swap the smoke-test / test step for whatever your project does with
Semantica. Each template installs `semantica` unconditionally and your own project's dependencies
only if a `requirements.txt` is present; if your project uses `pyproject.toml`, Poetry, or Pipenv
instead, adjust the marked install line (each file calls it out inline).
| File | Target path in your repo |
| ---- | ------------------------- |
| [`github-actions.yml`](github-actions.yml) | `.github/workflows/semantica.yml` |
| [`gitlab-ci.yml`](gitlab-ci.yml) | `.gitlab-ci.yml` |
| [`circleci-config.yml`](circleci-config.yml) | `.circleci/config.yml` |
If your own project is hosted on GitHub, you can skip the setup boilerplate entirely and use
Semantica's reusable composite action instead:
```yaml
- uses: semantica-agi/semantica/.github/actions/setup-semantica@main
with:
python-version: '3.11'
# extras: 'explorer,all' # optional
# version: '==0.6.7' # optional, pin an exact release
# cache: 'pip' # optional, only if your repo has a requirements.txt/pyproject.toml/etc.
```
`@main` always tracks this repo's default branch, which is convenient but — like any mutable
ref — can change out from under you between runs. For production CI, pin it to a commit SHA
instead (find one via `git rev-parse` against a tagged release, or the commit history for
[`.github/actions/setup-semantica/`](../../.github/actions/setup-semantica/)) and update the pin
deliberately when you want to pick up changes, the same way this repo's own workflows are pinned
(see [`verify-action-pins.yml`](../../.github/workflows/verify-action-pins.yml)).
It installs Python, installs `semantica`, and verifies the import (pip caching is opt-in via `cache: 'pip'`, since not every caller repo has a requirements file to key the cache on) — see
[`.github/actions/setup-semantica/action.yml`](../../.github/actions/setup-semantica/action.yml).
-40
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@@ -1,40 +0,0 @@
# Drop this in as .circleci/config.yml in your own project.
version: 2.1
jobs:
test:
docker:
- image: cimg/python:3.11
steps:
- checkout
# A content-hashed cache key (e.g. `{{ checksum "requirements.txt" }}`)
# is more precise but breaks if that exact file doesn't exist in your
# project - swap in one matched to however you declare dependencies
# once you've adjusted the install step below.
- restore_cache:
keys:
- pip-cache-v1
- run:
name: Install dependencies
command: |
pip install --upgrade pip
pip install semantica
# Install your own project's dependencies however your project
# declares them - adjust this to match, e.g. `pip install -e .`
# for pyproject.toml / setup.cfg, or `poetry install`.
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- save_cache:
key: pip-cache-v1
paths:
- ~/.cache/pip
- run:
name: Smoke test
command: python -c "import semantica; print('semantica', semantica.__version__)"
- run:
name: Run tests
command: pytest
workflows:
test:
jobs:
- test
-44
View File
@@ -1,44 +0,0 @@
# Drop this in as .github/workflows/semantica.yml in your own project.
#
# Installs Semantica and runs a smoke import + your test suite. Swap the
# smoke-test step for whatever your project actually does with Semantica
# (build a context graph, run an ingest pipeline, etc.).
#
# Third-party actions below are pinned to a commit SHA rather than a mutable
# tag - a moved tag can silently swap in different code. Update the pin (and
# the trailing "# vX" comment) deliberately when you want a newer version;
# see semantica-agi/semantica's own .github/workflows/verify-action-pins.yml
# for one way to keep pins honest automatically.
name: Semantica
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7
- uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7
with:
python-version: '3.11'
cache: 'pip'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install semantica
# Install your own project's dependencies however your project
# declares them - adjust this to match. Examples:
# pip install -r requirements.txt
# pip install -e . # pyproject.toml / setup.cfg
# pip install -e ".[dev]"
# poetry install
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Run tests
run: pytest
-20
View File
@@ -1,20 +0,0 @@
# Drop this in as .gitlab-ci.yml in your own project.
semantica-test:
image: python:3.11-slim
cache:
paths:
- .cache/pip
variables:
PIP_CACHE_DIR: "$CI_PROJECT_DIR/.cache/pip"
script:
- pip install --upgrade pip
- pip install semantica
# Install your own project's dependencies however your project declares
# them - adjust this to match, e.g. `pip install -e .` for pyproject.toml
# / setup.cfg, or `poetry install`.
- if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- python -c "import semantica; print('semantica', semantica.__version__)"
- pytest
rules:
- if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
- if: '$CI_COMMIT_BRANCH == "main"'
+6 -6
View File
@@ -2083,9 +2083,9 @@
}
},
"node_modules/brace-expansion": {
"version": "5.0.9",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-5.0.9.tgz",
"integrity": "sha512-ScQ4IuvIEF1TMlP7Zt+vjJ//9zlPb2SDcxWxM3bk8s6t6GGdJ7KO1dCcTidOPJKePW30LE/2cT7wCyPho9/Wxg==",
"version": "5.0.8",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-5.0.8.tgz",
"integrity": "sha512-JZyDyq3D4AUifKTPOB7DELf6XsB3WdPuNxCtob1vFXPsSXhdAiHBWJ/tJ8HAc9aH84BK+5JFZLNkJKx3G9kzQg==",
"dev": true,
"license": "MIT",
"dependencies": {
@@ -4250,9 +4250,9 @@
"license": "MIT"
},
"node_modules/nanoid": {
"version": "3.3.18",
"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.18.tgz",
"integrity": "sha512-DTg4MJbGMWkfi6VZFdNt2/caMbQy4Ou+Op/hJQvGEWcnVfoA1QA+xzRKAzw9jD6+GVOOeYr/mIcuDSdug6F6+w==",
"version": "3.3.16",
"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.16.tgz",
"integrity": "sha512-bzlKTyNJ7+LdGIIwy8ijFpIqEQIvafahV7eYykJ8Cvh42EdJeODoJ6gUJXpQJvej1BddH8OqTXZNE/KfbWAu8Q==",
"dev": true,
"funding": [
{
+1 -8
View File
@@ -49,14 +49,7 @@ dependencies = [
"scipy>=1.13.1",
"scikit-learn>=1.7.2",
"umap-learn>=0.5.12",
# thinc (spacy's core dep) dropped Python 3.9 wheels at 8.3.10, and later
# spacy patch releases (3.8.8+) require thinc>=8.3.9-only-on-3.10+ ranges,
# which forces a source build that fails outright on 3.9 (see Install
# Matrix run history). Capping both keeps 3.9 on the last wheel-compatible
# pair; 3.10+ is left unconstrained to always get the latest spacy/thinc.
"spacy>=3.4.0,<3.8.8; python_version < '3.10'",
"spacy>=3.4.0; python_version >= '3.10'",
"thinc<8.3.5; python_version < '3.10'",
"spacy>=3.4.0",
"transformers>=4.20.0",
"torch>=1.13.1",
"sentence-transformers>=2.2.0",
+9 -114
View File
@@ -3714,61 +3714,19 @@ def store_stats(cli_ctx: CLIContext, backend: str, fmt: str, local_json: bool) -
_run_with_error_handling(_action)
_MIGRATE_SUPPORTED_BACKENDS = {"faiss", "sqlite", "pgvector"}
_MIGRATE_BATCH_SIZE = 500
def _migrate_backend_config(vs_cfg: Dict[str, Any], backend: str) -> Dict[str, Any]:
"""Resolve per-backend config out of the vector_store config section.
Supports both a per-backend nested shape (``vector_store.faiss.dimension``)
and the common flat single-backend shape (``vector_store.backend`` +
sibling keys), since either can appear depending on how many backends a
user has configured.
"""
nested = vs_cfg.get(backend)
if isinstance(nested, dict):
return dict(nested)
if vs_cfg.get("backend") == backend:
return {k: v for k, v in vs_cfg.items() if k != "backend"}
return {}
def _require_faiss_index_path(cfg: Dict[str, Any], role: str) -> str:
"""FAISS has no server to hold state between commands: a fresh FAISSStore
starts empty and nothing outside the process persists it, so migration
needs an explicit on-disk index to read from or write to."""
index_path = cfg.get("index_path")
if not index_path:
raise click.ClickException(
f"faiss as migration {role} requires 'index_path' in the vector_store "
f"config (vector_store.faiss.index_path or vector_store.index_path "
f"when faiss is the configured backend)."
)
return index_path
@store.command("migrate")
@click.option("--from", "from_backend", required=True)
@click.option("--to", "to_backend", required=True)
@click.option("--namespace", default=None)
@click.option("--dry-run", "local_dry", is_flag=True, default=False)
@click.option("--json", "local_json", is_flag=True, default=False)
@click.pass_obj
def store_migrate(cli_ctx: CLIContext, from_backend: str, to_backend: str,
namespace: Optional[str], local_dry: bool, local_json: bool) -> None:
namespace: Optional[str], local_dry: bool) -> None:
"""Migrate data between backends.
Direct migration is only wired up between faiss, sqlite, and pgvector -
these are the backends whose storage contract supports paging through
every stored vector. Migrating to or from qdrant, pinecone, milvus, or
weaviate still needs the export/reindex workaround below, since each of
those needs its own enumeration design (Qdrant scroll, Pinecone list,
etc.) that hasn't been built yet.
\b
Example:
semantica store migrate --from faiss --to sqlite --namespace production --dry-run
semantica store migrate --from faiss --to qdrant --namespace production --dry-run
"""
cli_ctx = _require_ctx(cli_ctx)
@@ -3776,76 +3734,13 @@ def store_migrate(cli_ctx: CLIContext, from_backend: str, to_backend: str,
if _is_dry(cli_ctx, local_dry):
_dry(cli_ctx, "migrate", from_backend=from_backend, to_backend=to_backend)
return
if from_backend not in _MIGRATE_SUPPORTED_BACKENDS or to_backend not in _MIGRATE_SUPPORTED_BACKENDS:
raise click.ClickException(
f"Direct backend migration ({from_backend}{to_backend}) is only supported "
f"between {', '.join(sorted(_MIGRATE_SUPPORTED_BACKENDS))}. To migrate involving "
"another backend, export your data first:\n"
" semantica export --format parquet --output dump.parquet\n"
f" semantica embed index dump.parquet --store {to_backend}"
+ (f" --namespace {namespace}" if namespace else "")
)
from .vector_store import VectorStore
vs_cfg = cli_ctx.config.to_dict().get("vector_store", {}) or {}
source_cfg = _migrate_backend_config(vs_cfg, from_backend)
dest_cfg = _migrate_backend_config(vs_cfg, to_backend)
source_index_path = None
if from_backend == "faiss":
source_index_path = _require_faiss_index_path(source_cfg, "source")
dest_index_path = None
if to_backend == "faiss":
dest_index_path = _require_faiss_index_path(dest_cfg, "destination")
source = VectorStore(backend=from_backend, config=source_cfg)
if source_index_path:
source._backend_store.load_index(source_index_path)
source_dimension = getattr(source._backend_store, "dimension", None)
if source_dimension and "dimension" not in dest_cfg:
dest_cfg["dimension"] = source_dimension
dest = VectorStore(backend=to_backend, config=dest_cfg)
if dest_index_path and Path(dest_index_path).exists():
dest._backend_store.load_index(dest_index_path)
migrated = 0
vectors_batch: List[Any] = []
metadata_batch: List[Dict[str, Any]] = []
ids_batch: List[str] = []
def _flush() -> None:
nonlocal migrated
if not vectors_batch:
return
dest.store_vectors(list(vectors_batch), list(metadata_batch), ids=list(ids_batch))
migrated += len(vectors_batch)
vectors_batch.clear()
metadata_batch.clear()
ids_batch.clear()
for item in source.iter_vectors(batch_size=_MIGRATE_BATCH_SIZE):
meta = dict(item.get("metadata") or {})
if namespace and "namespace" not in meta:
meta["namespace"] = namespace
vectors_batch.append(item["vector"])
metadata_batch.append(meta)
ids_batch.append(item["id"])
if len(vectors_batch) >= _MIGRATE_BATCH_SIZE:
_flush()
_flush()
if dest_index_path and migrated:
dest._backend_store.save_index(dest_index_path)
result = {"from": from_backend, "to": to_backend, "migrated": migrated}
if _is_json(cli_ctx, local_json):
_jecho(result)
else:
_ok(cli_ctx, f"Migrated {migrated} vectors from {from_backend} to {to_backend}")
raise click.ClickException(
f"Direct backend migration ({from_backend}{to_backend}) is not yet supported "
"by the vector store layer. To migrate, export your data first:\n"
" semantica export --format parquet --output dump.parquet\n"
f" semantica embed index dump.parquet --store {to_backend}"
+ (f" --namespace {namespace}" if namespace else "")
)
_run_with_error_handling(_action)
+9 -15
View File
@@ -76,11 +76,11 @@ Production Use Cases:
- Insurance: Claim decisions, underwriting assessments
"""
import json
import uuid
from dataclasses import InitVar, dataclass, field
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
import json
import uuid
@dataclass
@@ -100,9 +100,8 @@ class Decision:
valid_from: Optional[str] = None
valid_until: Optional[str] = None
metadata: Dict[str, Any] = field(default_factory=dict)
auto_generate_id: InitVar[bool] = True
def __post_init__(self, auto_generate_id: bool) -> None:
def __post_init__(self, auto_generate_id: bool = True):
"""Validate decision data."""
if auto_generate_id and not self.decision_id: # Handle both None and empty string
self.decision_id = str(uuid.uuid4())
@@ -147,9 +146,8 @@ class DecisionContext:
risk_factors: List[str]
cross_system_inputs: Dict[str, Any] = field(default_factory=dict)
metadata: Dict[str, Any] = field(default_factory=dict)
auto_generate_id: InitVar[bool] = True
def __post_init__(self, auto_generate_id: bool) -> None:
def __post_init__(self, auto_generate_id: bool = True):
"""Validate decision context data."""
if auto_generate_id and not self.context_id: # Handle both None and empty string
self.context_id = str(uuid.uuid4())
@@ -186,9 +184,8 @@ class Policy:
created_at: datetime
updated_at: datetime
metadata: Dict[str, Any] = field(default_factory=dict)
auto_generate_id: InitVar[bool] = True
def __post_init__(self, auto_generate_id: bool) -> None:
def __post_init__(self, auto_generate_id: bool = True):
"""Validate policy data."""
if auto_generate_id and not self.policy_id: # Handle both None and empty string
self.policy_id = str(uuid.uuid4())
@@ -230,9 +227,8 @@ class PolicyException:
approval_timestamp: datetime
justification: str
metadata: Dict[str, Any] = field(default_factory=dict)
auto_generate_id: InitVar[bool] = True
def __post_init__(self, auto_generate_id: bool) -> None:
def __post_init__(self, auto_generate_id: bool = True):
"""Validate policy exception data."""
if auto_generate_id and not self.exception_id: # Handle both None and empty string
self.exception_id = str(uuid.uuid4())
@@ -269,9 +265,8 @@ class Precedent:
similarity_score: float
relationship_type: str # "similar_scenario", "same_policy", "exception_precedent"
metadata: Dict[str, Any] = field(default_factory=dict)
auto_generate_id: InitVar[bool] = True
def __post_init__(self, auto_generate_id: bool) -> None:
def __post_init__(self, auto_generate_id: bool = True):
"""Validate precedent data."""
if auto_generate_id and not self.precedent_id: # Handle both None and empty string
self.precedent_id = str(uuid.uuid4())
@@ -310,9 +305,8 @@ class ApprovalChain:
approval_context: str
timestamp: datetime
metadata: Dict[str, Any] = field(default_factory=dict)
auto_generate_id: InitVar[bool] = True
def __post_init__(self, auto_generate_id: bool) -> None:
def __post_init__(self, auto_generate_id: bool = True):
"""Validate approval chain data."""
if auto_generate_id and not self.approval_id: # Handle both None and empty string
self.approval_id = str(uuid.uuid4())
+4 -55
View File
@@ -66,32 +66,12 @@ class FAISSIndex:
self.metadata: Dict[str, Dict[str, Any]] = {}
def add_vectors(self, vectors: np.ndarray, ids: Optional[List[str]] = None):
"""
Add vectors to index.
Skips any id already present in vector_ids rather than appending a
second physical vector under the same id. FAISS indices here don't
support removing or replacing a single vector in place, so an
"update" isn't possible; without this check, re-running an add for
ids that already exist (e.g. retrying an interrupted migration)
would silently duplicate vectors under the same id on every retry.
"""
"""Add vectors to index."""
if ids is None:
ids = [f"vec_{i}" for i in range(len(vectors))]
new_rows = []
new_ids = []
existing = set(self.vector_ids)
for row, vec_id in zip(vectors, ids):
if vec_id in existing:
continue
new_rows.append(row)
new_ids.append(vec_id)
existing.add(vec_id)
if new_rows:
self.index.add(np.array(new_rows, dtype=np.float32))
self.vector_ids.extend(new_ids)
self.index.add(vectors.astype(np.float32))
self.vector_ids.extend(ids)
def search(
self, query_vectors: np.ndarray, k: int = 10
@@ -325,12 +305,6 @@ class FAISSStore:
"""
Add vectors to index.
Any id that already exists in the index is skipped rather than
stored as a second physical vector under the same id (see
FAISSIndex.add_vectors), so calling this again with ids from a
previous call is safe and doesn't accumulate duplicates. Metadata
for those ids is still updated.
Args:
vectors: List of vectors or numpy array
ids: Vector IDs
@@ -338,8 +312,7 @@ class FAISSStore:
**options: Additional options
Returns:
List of vector IDs (including ids that were already present
and therefore not re-added as new vectors)
List of vector IDs
"""
num_vectors = len(vectors) if isinstance(vectors, (list, np.ndarray)) else 1
tracking_id = self.progress_tracker.start_tracking(
@@ -553,30 +526,6 @@ class FAISSStore:
return results
def scan_vectors(self, offset: int = 0, limit: int = 100) -> List[Dict[str, Any]]:
"""
Page through stored vectors in insertion order.
Args:
offset: Number of vectors to skip
limit: Maximum number of vectors to return
Returns:
List of result dicts with 'id', 'metadata', and 'vector'
"""
if self.index is None or limit <= 0:
return []
ids_page = self.index.vector_ids[offset:offset + limit]
return [
{
"id": vector_id,
"metadata": self.get_metadata(vector_id) or {},
"vector": self.get_vector(vector_id),
}
for vector_id in ids_page
]
def get_stats(self) -> Dict[str, Any]:
"""Get index statistics."""
if self.index is None:
-46
View File
@@ -656,52 +656,6 @@ class PgVectorStore:
self.logger.warning(f"Failed to get metadata for {vector_id}: {e}")
return None
def scan_vectors(self, offset: int = 0, limit: int = 100) -> List[Dict[str, Any]]:
"""
Page through stored vectors ordered by id.
Args:
offset: Number of rows to skip
limit: Maximum number of rows to return
Returns:
List of result dicts with 'id', 'metadata', and 'vector'
"""
if not PSYCOPG3_AVAILABLE and not PSYCOPG2_AVAILABLE:
raise ProcessingError(
"Neither psycopg3 nor psycopg2 is available. "
"Install with: pip install psycopg[binary] or psycopg2-binary"
)
if limit <= 0:
return []
scan_sql = psycopg_sql.SQL("""
SELECT id, vector, metadata
FROM {}
ORDER BY id
LIMIT %s OFFSET %s
""").format(psycopg_sql.Identifier(self.table_name))
with self._get_connection() as conn:
try:
cur = conn.cursor()
cur.execute(scan_sql, (limit, offset))
rows = cur.fetchall()
cur.close()
results = []
for row in rows:
vec_id, vec, meta = row
results.append({
"id": vec_id,
"metadata": meta if isinstance(meta, dict) else json.loads(meta) if meta else {},
"vector": np.array(vec) if vec is not None else None,
})
return results
except Exception as e:
raise ProcessingError(f"Failed to scan vectors: {str(e)}") from e
def filter_by_metadata(
self, filters: Dict[str, Any], limit: int = 10
) -> List[Dict[str, Any]]:
@@ -616,49 +616,6 @@ class SQLiteVecStore:
self.logger.warning(f"Failed to get metadata for {vector_id}: {e}")
return None
def scan_vectors(self, offset: int = 0, limit: int = 100) -> List[Dict[str, Any]]:
"""
Page through stored vectors ordered by id.
Args:
offset: Number of rows to skip
limit: Maximum number of rows to return
Returns:
List of result dicts with 'id', 'metadata', and 'vector'
"""
if limit <= 0:
return []
query_sql = f"""
SELECT id, embedding, metadata
FROM {self.table_name}
ORDER BY id
LIMIT ? OFFSET ?
"""
with self._lock, self._get_connection() as conn:
try:
cur = conn.cursor()
cur.execute(query_sql, (limit, offset))
rows = cur.fetchall()
cur.close()
results = []
for row in rows:
vec_id, embedding_blob, meta_json = row
vec = None
if embedding_blob:
vec = np.frombuffer(embedding_blob, dtype=np.float32).copy()
results.append({
"id": vec_id,
"metadata": json.loads(meta_json) if meta_json else {},
"vector": vec,
})
return results
except Exception as e:
raise ProcessingError(f"Failed to scan vectors: {str(e)}") from e
def filter_by_metadata(
self, filters: Dict[str, Any], limit: int = 10
) -> List[Dict[str, Any]]:
-58
View File
@@ -824,64 +824,6 @@ class VectorStore:
else:
raise NotImplementedError(f"Backend store {type(self._backend_store).__name__} does not implement get_metadata")
def scan_vectors(self, offset: int = 0, limit: int = 100) -> List[Dict[str, Any]]:
"""
Page through stored vectors, backend-agnostic.
Follows the get_vector()/get_metadata() precedent (#843): the inmemory
backend pages its local dict directly, a persistent backend delegates
to a scan_vectors() on the wrapped store when available, and one that
cannot enumerate its contents raises NotImplementedError rather than
silently returning an empty page.
Args:
offset: Number of vectors to skip
limit: Maximum number of vectors to return
Returns:
List of result dicts with 'id', 'metadata', and 'vector'
"""
if limit <= 0:
return []
if self.backend == "inmemory":
ids_page = list(self.vectors.keys())[offset:offset + limit]
return [
{
"id": vec_id,
"metadata": self.metadata.get(vec_id, {}),
"vector": self.vectors.get(vec_id),
}
for vec_id in ids_page
]
elif self._backend_store and hasattr(self._backend_store, "scan_vectors"):
return self._backend_store.scan_vectors(offset=offset, limit=limit)
else:
raise NotImplementedError(
f"Backend store {type(self._backend_store).__name__} does not "
"implement scan_vectors(). Add a scan_vectors() method to the "
"backend store adapter to enable enumeration for this backend."
)
def iter_vectors(self, batch_size: int = 500):
"""
Iterate over every stored vector, one page at a time.
Args:
batch_size: Number of vectors to fetch per underlying scan_vectors() call
Yields:
Result dicts with 'id', 'metadata', and 'vector', in scan order
"""
offset = 0
while True:
page = self.scan_vectors(offset=offset, limit=batch_size)
if not page:
return
for item in page:
yield item
offset += len(page)
def count(self) -> int:
"""Return the number of vectors in the store, backend-agnostic.
+5 -91
View File
@@ -5,23 +5,14 @@ This module tests the decision tracking data models including
validation, serialization, and deserialization.
"""
from datetime import datetime
import pytest
from datetime import datetime
from typing import List, Dict, Any
from semantica.context.decision_models import (
ApprovalChain,
Decision,
DecisionContext,
Policy,
PolicyException,
Precedent,
deserialize_decision,
deserialize_policy,
serialize_decision,
serialize_policy,
validate_decision,
validate_policy,
Decision, DecisionContext, Policy, PolicyException, Precedent, ApprovalChain,
validate_decision, validate_policy, serialize_decision, deserialize_decision,
serialize_policy, deserialize_policy
)
@@ -461,82 +452,5 @@ class TestSerializationFunctions:
assert deserialized.metadata == original_policy.metadata
class TestAutoGenerateIdContract:
"""Test the auto_generate_id InitVar contract across all decision models.
Regression coverage for the InitVar fix: previously ``auto_generate_id``
was a plain ``__post_init__`` parameter that dataclass-generated ``__init__``
never forwarded, so the ``auto_generate_id=False`` branch was dead code and
the "id is required" contract could never fire.
"""
def _base_kwargs(self, cls):
now = datetime.now()
return {
Decision: dict(
decision_id="", category="c", scenario="s", reasoning="r",
outcome="o", confidence=0.5, timestamp=now, decision_maker="m",
),
DecisionContext: dict(
context_id="", decision_id="d", entity_snapshots={}, risk_factors=[],
),
Policy: dict(
policy_id="", name="n", description="d", rules={}, category="c",
version="1", created_at=now, updated_at=now,
),
PolicyException: dict(
exception_id="", decision_id="d", policy_id="p", reason="r",
approver="a", approval_timestamp=now, justification="j",
),
Precedent: dict(
precedent_id="", source_decision_id="d", similarity_score=0.5,
relationship_type="same_policy",
),
ApprovalChain: dict(
approval_id="", decision_id="d", approver="a",
approval_method="email", approval_context="x", timestamp=now,
),
}[cls]
@pytest.mark.parametrize(
"cls",
[Decision, DecisionContext, Policy, PolicyException, Precedent, ApprovalChain],
)
def test_auto_generate_id_is_not_a_field(self, cls):
"""auto_generate_id must stay an InitVar, never a real dataclass field."""
import dataclasses
names = [f.name for f in dataclasses.fields(cls)]
assert "auto_generate_id" not in names
@pytest.mark.parametrize(
"cls",
[Decision, DecisionContext, Policy, PolicyException, Precedent, ApprovalChain],
)
def test_default_auto_generates_id(self, cls):
"""With defaults, an empty id is auto-populated and stays a non-field."""
obj = cls(**self._base_kwargs(cls))
id_field = [f.name for f in __import__("dataclasses").fields(cls)][0]
assert getattr(obj, id_field)
assert "auto_generate_id" not in vars(obj)
@pytest.mark.parametrize(
"cls",
[Decision, DecisionContext, Policy, PolicyException, Precedent, ApprovalChain],
)
def test_required_id_when_auto_generate_disabled(self, cls):
"""auto_generate_id=False with an empty id must raise ValueError."""
with pytest.raises(ValueError):
cls(auto_generate_id=False, **self._base_kwargs(cls))
def test_explicit_id_honored_with_auto_generate_disabled(self):
"""A provided id is preserved when auto_generate_id=False."""
kwargs = self._base_kwargs(Decision)
kwargs["decision_id"] = "fixed-id"
decision = Decision(auto_generate_id=False, **kwargs)
assert decision.decision_id == "fixed-id"
assert "auto_generate_id" not in decision.to_dict()
if __name__ == "__main__":
pytest.main([__file__])
-95
View File
@@ -1359,101 +1359,6 @@ class TestStore:
result = runner.invoke(cli_module.main, ["store", "migrate", "--from", "faiss"])
assert result.exit_code != 0
def test_migrate_refuses_unsupported_backend_pair(self, runner):
result = runner.invoke(cli_module.main, ["store", "migrate",
"--from", "faiss", "--to", "qdrant"])
assert result.exit_code != 0
assert "faiss, pgvector, sqlite" in result.output
def _fake_migrate_store_module(self, source_items, stored, dest_configs=None):
class _FakeBackendStore:
def __init__(self, dimension=None):
self.dimension = dimension
class _FakeStore:
def __init__(self, backend, config=None, **kw):
self.backend = backend
self._config = config or {}
dim = self._config.get("dimension")
self._backend_store = _FakeBackendStore(dimension=dim)
if dest_configs is not None:
dest_configs[backend] = dict(self._config)
def iter_vectors(self, batch_size=500):
if self.backend == "sqlite":
yield from source_items
return
return
yield # pragma: no cover - makes this a generator for other backends
def store_vectors(self, vectors, metadata, ids=None):
for vec_id, meta in zip(ids, metadata):
stored[vec_id] = meta
return _fake_module(VectorStore=_FakeStore)
def test_migrate_runs_between_supported_backends(self, runner, monkeypatch):
source_items = [
{"id": "a", "vector": [0.1, 0.2], "metadata": {"tag": "x"}},
{"id": "b", "vector": [0.3, 0.4], "metadata": {}},
]
stored = {}
fake_vs = self._fake_migrate_store_module(source_items, stored)
monkeypatch.setitem(__import__("sys").modules, "semantica.vector_store", fake_vs)
result = runner.invoke(cli_module.main, ["store", "migrate",
"--from", "sqlite", "--to", "pgvector",
"--namespace", "prod", "--json"])
_ok(result)
data = _json_output(result)
assert data == {"from": "sqlite", "to": "pgvector", "migrated": 2}
assert stored == {"a": {"tag": "x", "namespace": "prod"}, "b": {"namespace": "prod"}}
def test_migrate_reports_zero_for_empty_source(self, runner, monkeypatch):
stored = {}
fake_vs = self._fake_migrate_store_module([], stored)
monkeypatch.setitem(__import__("sys").modules, "semantica.vector_store", fake_vs)
result = runner.invoke(cli_module.main, ["store", "migrate",
"--from", "sqlite", "--to", "pgvector", "--json"])
_ok(result)
assert _json_output(result)["migrated"] == 0
assert stored == {}
def test_migrate_inherits_source_dimension_into_dest(self, runner, monkeypatch):
source_items = [{"id": "a", "vector": [0.1, 0.2, 0.3], "metadata": {}}]
stored = {}
dest_configs: dict = {}
fake_vs = self._fake_migrate_store_module(source_items, stored, dest_configs)
monkeypatch.setitem(__import__("sys").modules, "semantica.vector_store", fake_vs)
monkeypatch.setattr(
cli_module.Config, "to_dict",
lambda self: {"vector_store": {"sqlite": {"dimension": 3}, "pgvector": {}}},
)
result = runner.invoke(cli_module.main, ["store", "migrate",
"--from", "sqlite", "--to", "pgvector", "--json"])
_ok(result)
assert dest_configs["pgvector"].get("dimension") == 3
def test_migrate_faiss_source_requires_index_path(self, runner, monkeypatch):
fake_vs = _fake_module(VectorStore=lambda **kw: MagicMock())
monkeypatch.setitem(__import__("sys").modules, "semantica.vector_store", fake_vs)
result = runner.invoke(cli_module.main, ["store", "migrate",
"--from", "faiss", "--to", "sqlite"])
assert result.exit_code != 0
assert "index_path" in result.output
def test_migrate_faiss_dest_requires_index_path(self, runner, monkeypatch):
fake_vs = _fake_module(VectorStore=lambda **kw: MagicMock())
monkeypatch.setitem(__import__("sys").modules, "semantica.vector_store", fake_vs)
result = runner.invoke(cli_module.main, ["store", "migrate",
"--from", "sqlite", "--to", "faiss"])
assert result.exit_code != 0
assert "index_path" in result.output
def test_flush_requires_confirm(self, runner):
result = runner.invoke(cli_module.main, ["store", "flush"])
assert result.exit_code != 0
+1 -88
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@@ -3,7 +3,7 @@ from unittest.mock import MagicMock
import numpy as np
import pytest
from semantica.vector_store.faiss_store import FAISSIndex, FAISSStore
from semantica.vector_store.faiss_store import FAISSIndex
def test_get_vector_reconstructs_from_flat_l2_index():
@@ -120,90 +120,3 @@ def test_get_vector_reconstructs_from_real_ivfflat_index_without_prior_direct_ma
result = index.get_vector("vec_target")
np.testing.assert_allclose(result, vectors[3], atol=1e-6)
def _store_with_fake_index(ids, metadata_by_id=None):
backend_index = MagicMock()
backend_index.reconstruct.side_effect = lambda idx: [float(idx)] * 3
index = FAISSIndex(backend_index, dimension=3)
index.vector_ids = list(ids)
index.metadata = dict(metadata_by_id or {})
store = FAISSStore(dimension=3)
store.index = index
return store
def test_scan_vectors_returns_all_across_pages():
store = _store_with_fake_index(["a", "b", "c", "d", "e"])
seen_ids = []
offset = 0
while True:
page = store.scan_vectors(offset=offset, limit=2)
if not page:
break
seen_ids.extend(p["id"] for p in page)
offset += len(page)
assert seen_ids == ["a", "b", "c", "d", "e"]
def test_scan_vectors_includes_vector_and_metadata():
store = _store_with_fake_index(["a"], {"a": {"tag": "only"}})
page = store.scan_vectors(offset=0, limit=10)
assert len(page) == 1
assert page[0]["id"] == "a"
assert page[0]["metadata"] == {"tag": "only"}
np.testing.assert_array_equal(page[0]["vector"], np.array([0.0, 0.0, 0.0], dtype=np.float32))
def test_scan_vectors_no_index_returns_empty_list():
store = FAISSStore(dimension=3)
assert store.scan_vectors(offset=0, limit=10) == []
def test_scan_vectors_zero_limit_returns_empty_list():
store = _store_with_fake_index(["a"])
assert store.scan_vectors(offset=0, limit=0) == []
def test_scan_vectors_offset_past_end_returns_empty_list():
store = _store_with_fake_index(["a"])
assert store.scan_vectors(offset=100, limit=10) == []
def test_add_vectors_retry_with_same_ids_does_not_duplicate():
"""Re-running add_vectors with ids already in the index (e.g. retrying
an interrupted migration) must not create a second physical vector
under the same id."""
backend_index = MagicMock()
store = FAISSStore(dimension=3)
store.index = FAISSIndex(backend_index, dimension=3)
vectors = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], dtype=np.float32)
ids = ["a", "b", "c", "d"]
store.add_vectors(vectors, ids=ids, metadata=[{"i": i} for i in range(4)])
assert store.count() == 4
store.add_vectors(vectors, ids=ids, metadata=[{"i": i} for i in range(4)])
assert store.count() == 4
assert store.index.vector_ids == ids
def test_add_vectors_retry_with_partial_overlap_only_adds_new_ids():
backend_index = MagicMock()
store = FAISSStore(dimension=3)
store.index = FAISSIndex(backend_index, dimension=3)
store.add_vectors(np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32), ids=["a", "b"])
store.add_vectors(np.array([[1, 2, 3], [7, 8, 9]], dtype=np.float32), ids=["a", "c"])
assert store.index.vector_ids == ["a", "b", "c"]
second_call_vectors = backend_index.add.call_args[0][0]
assert second_call_vectors.shape[0] == 1
np.testing.assert_array_equal(second_call_vectors[0], np.array([7, 8, 9], dtype=np.float32))
-42
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@@ -467,48 +467,6 @@ class TestPgVectorStoreDelete:
assert success is True
class TestPgVectorStoreScan:
"""Test scan_vectors pagination."""
def test_scan_returns_all_vectors_across_pages(self, store):
vectors = [np.random.rand(128).astype(np.float32) for _ in range(5)]
ids = store.add(vectors, [{"index": i} for i in range(5)])
seen_ids = []
offset = 0
while True:
page = store.scan_vectors(offset=offset, limit=2)
if not page:
break
seen_ids.extend(p["id"] for p in page)
offset += len(page)
assert set(seen_ids) == set(ids)
assert len(seen_ids) == 5
def test_scan_page_includes_vector_and_metadata(self, store):
vectors = [np.random.rand(128).astype(np.float32)]
ids = store.add(vectors, [{"tag": "only"}])
page = store.scan_vectors(offset=0, limit=10)
assert len(page) == 1
assert page[0]["id"] == ids[0]
assert page[0]["metadata"] == {"tag": "only"}
assert page[0]["vector"] is not None
def test_scan_empty_store_returns_empty_list(self, store):
assert store.scan_vectors(offset=0, limit=10) == []
def test_scan_zero_limit_returns_empty_list(self, store):
store.add([np.random.rand(128).astype(np.float32)])
assert store.scan_vectors(offset=0, limit=0) == []
def test_scan_offset_past_end_returns_empty_list(self, store):
store.add([np.random.rand(128).astype(np.float32)])
assert store.scan_vectors(offset=100, limit=10) == []
class TestPgVectorStoreIndex:
"""Test index creation operations."""
@@ -415,48 +415,6 @@ class TestSQLiteVecStoreStats:
assert stats["vector_count"] == 4
class TestSQLiteVecStoreScan:
"""Test scan_vectors pagination."""
def test_scan_returns_all_vectors_across_pages(self, store):
vectors = [np.random.rand(128).astype(np.float32) for _ in range(5)]
ids = store.add(vectors, [{"index": i} for i in range(5)])
seen_ids = []
offset = 0
while True:
page = store.scan_vectors(offset=offset, limit=2)
if not page:
break
seen_ids.extend(p["id"] for p in page)
offset += len(page)
assert set(seen_ids) == set(ids)
assert len(seen_ids) == 5
def test_scan_page_includes_vector_and_metadata(self, store):
vectors = [np.random.rand(128).astype(np.float32)]
ids = store.add(vectors, [{"tag": "only"}])
page = store.scan_vectors(offset=0, limit=10)
assert len(page) == 1
assert page[0]["id"] == ids[0]
assert page[0]["metadata"] == {"tag": "only"}
assert page[0]["vector"] is not None
def test_scan_empty_store_returns_empty_list(self, store):
assert store.scan_vectors(offset=0, limit=10) == []
def test_scan_zero_limit_returns_empty_list(self, store):
store.add([np.random.rand(128).astype(np.float32)])
assert store.scan_vectors(offset=0, limit=0) == []
def test_scan_offset_past_end_returns_empty_list(self, store):
store.add([np.random.rand(128).astype(np.float32)])
assert store.scan_vectors(offset=100, limit=10) == []
class TestSQLiteVecStoreFilterByMetadata:
"""Test filter_by_metadata, including list-valued metadata handling."""
@@ -120,78 +120,6 @@ class VectorStoreCountTests(unittest.TestCase):
self.assertIn("count()", msg)
# ---------------------------------------------------------------------------
# VectorStore.scan_vectors() / iter_vectors() dispatch tests
# ---------------------------------------------------------------------------
class _ScanningBackendStore:
"""Fake persistent backend store that supports scan_vectors()."""
def __init__(self, items):
self._items = items
def scan_vectors(self, offset=0, limit=100):
return self._items[offset:offset + limit]
class _NonScanningBackendStore:
"""Fake persistent backend store without any scan capability."""
class VectorStoreScanVectorsTests(unittest.TestCase):
"""VectorStore.scan_vectors() / iter_vectors() backend-agnostic accessors."""
def setUp(self):
self.vectors = [np.array([1.0, 0.0]), np.array([0.0, 1.0]), np.array([1.0, 1.0])]
self.metadata = [{"type": "a"}, {"type": "b"}, {"type": "c"}]
def test_scan_inmemory_pages_through_all_vectors(self):
store = VectorStore(backend="inmemory", dimension=2)
ids = store.store_vectors(self.vectors, self.metadata)
page1 = store.scan_vectors(offset=0, limit=2)
page2 = store.scan_vectors(offset=2, limit=2)
self.assertEqual([p["id"] for p in page1], ids[:2])
self.assertEqual([p["id"] for p in page2], ids[2:])
self.assertEqual(page2[0]["metadata"], {"type": "c"})
def test_scan_inmemory_empty_store(self):
store = VectorStore(backend="inmemory", dimension=2)
self.assertEqual(store.scan_vectors(offset=0, limit=10), [])
def test_scan_zero_limit_returns_empty_list(self):
store = VectorStore(backend="inmemory", dimension=2)
store.store_vectors(self.vectors, self.metadata)
self.assertEqual(store.scan_vectors(offset=0, limit=0), [])
def test_scan_delegates_to_backend_store(self):
items = [{"id": "a", "metadata": {}, "vector": None}]
store = VectorStore(backend="inmemory", dimension=2)
store.backend = "faiss"
store._backend_store = _ScanningBackendStore(items)
self.assertEqual(store.scan_vectors(offset=0, limit=10), items)
def test_scan_raises_not_implemented_without_backend_support(self):
store = VectorStore(backend="inmemory", dimension=2)
store.backend = "faiss"
store._backend_store = _NonScanningBackendStore()
with self.assertRaises(NotImplementedError):
store.scan_vectors(offset=0, limit=10)
def test_iter_vectors_walks_every_page(self):
store = VectorStore(backend="inmemory", dimension=2)
ids = store.store_vectors(self.vectors, self.metadata)
collected = list(store.iter_vectors(batch_size=2))
self.assertEqual([item["id"] for item in collected], ids)
def test_iter_vectors_empty_store_yields_nothing(self):
store = VectorStore(backend="inmemory", dimension=2)
self.assertEqual(list(store.iter_vectors(batch_size=2)), [])
# ---------------------------------------------------------------------------
# VectorManager tests — inmemory backend
# ---------------------------------------------------------------------------