multi-arch-build (#2571)

### What problem does this PR solve?

Build multi-arch docker image `infiniflow/ragflow:poetry` on
`linux/amd64` and `linux/arm64`.

### Type of change

- [x] Refactoring

Dockerfile.scratch

@@ -33,7 +33,7 @@ USER root
 WORKDIR /ragflow
 
 RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
-    apt update && apt install -y nodejs npm && \
+    apt update && apt install -y nodejs npm cargo && \
     rm -rf /var/lib/apt/lists/*
 
 COPY web web
@@ -42,7 +42,7 @@ RUN cd web && npm i --force && npm run build
 # install dependencies from poetry.lock file
 COPY pyproject.toml poetry.toml poetry.lock ./
 RUN --mount=type=cache,target=/root/.cache/pypoetry,sharing=locked \
-    /root/.local/bin/poetry install --sync --no-cache --no-root
+    /root/.local/bin/poetry install --sync --no-root
 
 # production stage
 FROM base AS production

docker/docker-compose-base.yml

@@ -30,7 +30,8 @@ services:
     restart: always
 
   mysql:
-    image: mysql:5.7.18
+    # mysql:5.7 linux/arm64 image is unavailable.
+    image: mysql:8.0.39
     container_name: ragflow-mysql
     environment:
       - MYSQL_ROOT_PASSWORD=${MYSQL_PASSWORD}

poetry.lock

@@ -2,34 +2,34 @@
 
 [[package]]
 name = "accelerate"
-version = "0.32.1"
+version = "0.34.2"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.32.1-py3-none-any.whl", hash = "sha256:71fcf4be00872194071de561634268b71417d7f5b16b178e2fa76b6f117c52b0"},
-    {file = "accelerate-0.32.1.tar.gz", hash = "sha256:3999acff0237cd0d4f9fd98b42d5a3163544777b53fc4f1eec886b77e992d177"},
+    {file = "accelerate-0.34.2-py3-none-any.whl", hash = "sha256:d69159e2c4e4a473d14443b27d2d732929254e826b3ab4813b3785b5ac616c7c"},
+    {file = "accelerate-0.34.2.tar.gz", hash = "sha256:98c1ebe1f5a45c0a3af02dc60b5bb8b7d58d60c3326a326a06ce6d956b18ca5b"},
 ]
 
 [package.dependencies]
-huggingface-hub = "*"
-numpy = ">=1.17,<2.0.0"
+huggingface-hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
-safetensors = ">=0.3.1"
+safetensors = ">=0.4.3"
 torch = ">=1.10.0"
 
 [package.extras]
-deepspeed = ["deepspeed (<=0.14.0)"]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
 [package.source]
 type = "legacy"
@@ -221,13 +221,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "akshare"
-version = "1.14.72"
+version = "1.14.81"
 description = "AKShare is an elegant and simple financial data interface library for Python, built for human beings!"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "akshare-1.14.72-py3-none-any.whl", hash = "sha256:f857537efa5acaf96a4aa0c058b9d6aec40523223a8af4b01f63035d88078ec5"},
-    {file = "akshare-1.14.72.tar.gz", hash = "sha256:a3d82e3236fe678d7999cb92e659eff3ec3644aacf5c0918ca832201b7ce61d8"},
+    {file = "akshare-1.14.81-py3-none-any.whl", hash = "sha256:22619c5e7aea7b0d87d241b117d5ccb0be8e3d4a040956d9feeeda78572186ad"},
+    {file = "akshare-1.14.81.tar.gz", hash = "sha256:33ec79f0dd38a4afb80d029ba942d8f065d1ec55917309429cbd8ce7ec9e0fe5"},
 ]
 
 [package.dependencies]
@@ -320,13 +320,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
 ]
 
 [package.dependencies]
@@ -334,9 +334,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [package.source]
 type = "legacy"
@@ -491,16 +491,16 @@ reference = "tsinghua"
 
 [[package]]
 name = "aspose-slides"
-version = "24.8.0"
+version = "24.9.0"
 description = "Aspose.Slides for Python via .NET is a presentation file formats processing library for working with Microsoft PowerPoint files without using Microsoft PowerPoint."
 optional = false
 python-versions = ">=3.5,<3.13"
 files = [
-    {file = "Aspose.Slides-24.8.0-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:377d69c95f0a4a3bdbdd6a2af42a441e0b138b9470058f88212a94335a99e5a6"},
-    {file = "Aspose.Slides-24.8.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eb1b45f0434fa1bd65b37b1fce781d7186c7cba9ce38460448ae05b9c290dd29"},
-    {file = "Aspose.Slides-24.8.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:9fbe9e29cc2ddd9a57782b99f9355921c484ed105afcdaf68512844cf129ccf3"},
-    {file = "Aspose.Slides-24.8.0-py3-none-win32.whl", hash = "sha256:3e8eeda8ec25fd3596739b1069f1093e2e1797872f10b49afda98724b902faa2"},
-    {file = "Aspose.Slides-24.8.0-py3-none-win_amd64.whl", hash = "sha256:02932a3a14075878a5a10cc29ac6edb8acbe019b9eabf19bee6ea2fb5caed882"},
+    {file = "Aspose.Slides-24.9.0-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:b822b1bcfb76dab02c7fedd997af68782429bf68c3a5a2e643748c429c0d21dd"},
+    {file = "Aspose.Slides-24.9.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:cb6673a6548dc1a60edd9480dab342a408a0568f960dc28d032f515e44846d92"},
+    {file = "Aspose.Slides-24.9.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:4525f39cef37d7a1411f67dfa02b8b08790f3f2ab286463bd88a848a8f062976"},
+    {file = "Aspose.Slides-24.9.0-py3-none-win32.whl", hash = "sha256:e8cad809ec2a5fee6c60e67c87eb13e533d1e9126e9be844db569f6fa97eb9b0"},
+    {file = "Aspose.Slides-24.9.0-py3-none-win_amd64.whl", hash = "sha256:68f29bff70fae24edc0cf19a9aff469982a85c4e808edd9eecd4c08c25b4de80"},
 ]
 
 [package.source]
@@ -1682,47 +1682,45 @@ reference = "tsinghua"
 
 [[package]]
 name = "datasets"
-version = "2.18.0"
+version = "3.0.0"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "datasets-2.18.0-py3-none-any.whl", hash = "sha256:f1bbf0e2896917a914de01cbd37075b14deea3837af87ad0d9f697388ccaeb50"},
-    {file = "datasets-2.18.0.tar.gz", hash = "sha256:cdf8b8c6abf7316377ba4f49f9589a4c74556d6b481afd0abd2284f3d69185cb"},
+    {file = "datasets-3.0.0-py3-none-any.whl", hash = "sha256:c23fefb6c953dcb1cd5f6deb6c502729c733ef98791e0c3f2d80c7ca2d9a01dd"},
+    {file = "datasets-3.0.0.tar.gz", hash = "sha256:592317eb137f0fc5aac068ff283ba13c3c66d10c9c034d44bc8aa584126cf3e2"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 dill = ">=0.3.0,<0.3.9"
 filelock = "*"
-fsspec = {version = ">=2023.1.0,<=2024.2.0", extras = ["http"]}
-huggingface-hub = ">=0.19.4"
+fsspec = {version = ">=2023.1.0,<=2024.6.1", extras = ["http"]}
+huggingface-hub = ">=0.22.0"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
-pyarrow = ">=12.0.0"
-pyarrow-hotfix = "*"
+pyarrow = ">=15.0.0"
 pyyaml = ">=5.1"
-requests = ">=2.19.0"
-tqdm = ">=4.62.1"
+requests = ">=2.32.2"
+tqdm = ">=4.66.3"
 xxhash = "*"
 
 [package.extras]
-apache-beam = ["apache-beam (>=2.26.0)"]
-audio = ["librosa", "soundfile (>=0.12.1)"]
+audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
-docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
-metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
 quality = ["ruff (>=0.3.0)"]
 s3 = ["s3fs"]
-tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+tensorflow = ["tensorflow (>=2.6.0)"]
+tensorflow-gpu = ["tensorflow (>=2.6.0)"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "zstandard"]
 torch = ["torch"]
-vision = ["Pillow (>=6.2.1)"]
+vision = ["Pillow (>=9.4.0)"]
 
 [package.source]
 type = "legacy"
@@ -2496,53 +2494,59 @@ reference = "tsinghua"
 
 [[package]]
 name = "fonttools"
-version = "4.53.1"
+version = "4.54.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fonttools-4.53.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0679a30b59d74b6242909945429dbddb08496935b82f91ea9bf6ad240ec23397"},
-    {file = "fonttools-4.53.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e8bf06b94694251861ba7fdeea15c8ec0967f84c3d4143ae9daf42bbc7717fe3"},
-    {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b96cd370a61f4d083c9c0053bf634279b094308d52fdc2dd9a22d8372fdd590d"},
-    {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1c7c5aa18dd3b17995898b4a9b5929d69ef6ae2af5b96d585ff4005033d82f0"},
-    {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e013aae589c1c12505da64a7d8d023e584987e51e62006e1bb30d72f26522c41"},
-    {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9efd176f874cb6402e607e4cc9b4a9cd584d82fc34a4b0c811970b32ba62501f"},
-    {file = "fonttools-4.53.1-cp310-cp310-win32.whl", hash = "sha256:c8696544c964500aa9439efb6761947393b70b17ef4e82d73277413f291260a4"},
-    {file = "fonttools-4.53.1-cp310-cp310-win_amd64.whl", hash = "sha256:8959a59de5af6d2bec27489e98ef25a397cfa1774b375d5787509c06659b3671"},
-    {file = "fonttools-4.53.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:da33440b1413bad53a8674393c5d29ce64d8c1a15ef8a77c642ffd900d07bfe1"},
-    {file = "fonttools-4.53.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ff7e5e9bad94e3a70c5cd2fa27f20b9bb9385e10cddab567b85ce5d306ea923"},
-    {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6e7170d675d12eac12ad1a981d90f118c06cf680b42a2d74c6c931e54b50719"},
-    {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee32ea8765e859670c4447b0817514ca79054463b6b79784b08a8df3a4d78e3"},
-    {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6e08f572625a1ee682115223eabebc4c6a2035a6917eac6f60350aba297ccadb"},
-    {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b21952c092ffd827504de7e66b62aba26fdb5f9d1e435c52477e6486e9d128b2"},
-    {file = "fonttools-4.53.1-cp311-cp311-win32.whl", hash = "sha256:9dfdae43b7996af46ff9da520998a32b105c7f098aeea06b2226b30e74fbba88"},
-    {file = "fonttools-4.53.1-cp311-cp311-win_amd64.whl", hash = "sha256:d4d0096cb1ac7a77b3b41cd78c9b6bc4a400550e21dc7a92f2b5ab53ed74eb02"},
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 ]
 
 [package.extras]
@@ -2676,13 +2680,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "fsspec"
-version = "2024.2.0"
+version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2693,7 +2697,8 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
 full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
 fuse = ["fusepy"]
@@ -2710,6 +2715,9 @@ s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
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+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [package.source]
@@ -2827,13 +2835,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "google-api-core"
-version = "2.19.2"
+version = "2.20.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -2880,13 +2888,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "google-auth"
-version = "2.34.0"
+version = "2.35.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3663,13 +3671,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "huggingface-hub"
-version = "0.25.0"
+version = "0.25.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
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 [package.dependencies]
@@ -5768,21 +5776,21 @@ reference = "tsinghua"
 
 [[package]]
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-version = "1.17.1"
+version = "1.19.2"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
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 [package.dependencies]
@@ -6759,22 +6767,6 @@ type = "legacy"
 url = "https://pypi.tuna.tsinghua.edu.cn/simple"
 reference = "tsinghua"
 
-[[package]]
-name = "pyarrow-hotfix"
-version = "0.6"
-description = ""
-optional = false
-python-versions = ">=3.5"
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-
-[package.source]
-type = "legacy"
-url = "https://pypi.tuna.tsinghua.edu.cn/simple"
-reference = "tsinghua"
-
 [[package]]
 name = "pyasn1"
 version = "0.6.1"
@@ -8460,18 +8452,17 @@ reference = "tsinghua"
 
 [[package]]
 name = "sentence-transformers"
-version = "3.1.0"
-description = "Multilingual text embeddings"
+version = "3.1.1"
+description = "State-of-the-Art Text Embeddings"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 Pillow = "*"
 scikit-learn = "*"
 scipy = "*"
@@ -9604,13 +9595,13 @@ reference = "tsinghua"
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
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 [package.source]
@@ -10325,103 +10316,103 @@ reference = "tsinghua"
 
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+version = "1.12.1"
 description = "Yet another URL library"
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -10525,4 +10516,4 @@ reference = "tsinghua"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.12,<3.13"
-content-hash = "e746052cc46f2fd3647fca55b5b879b051377bfcdf13e4ed72aadac4a9065580"
+content-hash = "4839cfab1c9f05e86f9ae54ed00980e46957e992199d3fee46e026563cdf7606"

pyproject.toml

@@ -10,13 +10,13 @@ package-mode = false
 [tool.poetry.dependencies]
 python = ">=3.12,<3.13"
 datrie = "0.8.2"
-akshare = "1.14.72"
+akshare = "^1.14.81"
 azure-storage-blob = "12.22.0"
 azure-identity = "1.17.1"
 azure-storage-file-datalake = "12.16.0"
 anthropic = "=0.34.1"
 arxiv = "2.1.3"
-aspose-slides = "24.8.0"
+aspose-slides = { version = "^24.9.0", markers = "platform_machine == 'x86_64'" }
 bcembedding = "0.1.3"
 bio = "1.7.1"
 boto3 = "1.34.140"
@@ -58,7 +58,7 @@ nltk = "3.9.1"
 numpy = "1.26.4"
 ollama = "0.2.1"
 onnxruntime = "1.17.3"
-onnxruntime-gpu = "1.17.1"
+onnxruntime-gpu = { version = "^1.17.1", markers = "platform_machine == 'x86_64'" }
 openai = "1.12.0"
 opencv-python = "4.9.0.80"
 opencv-python-headless = "4.9.0.80"
@@ -117,7 +117,7 @@ python-docx = "^1.1.2"
 pypdf2 = "^3.0.1"
 graspologic = "^3.4.1"
 pymysql = "^1.1.1"
-
+mini-racer = "^0.12.4"
 
 [[tool.poetry.source]]
 name = "tsinghua"

requirements.txt

@@ -1,105 +0,0 @@
-akshare==1.14.72
-azure-storage-blob==12.22.0
-azure-identity==1.17.1
-azure-storage-file-datalake==12.16.0
-anthropic===0.34.1
-arxiv==2.1.3
-Aspose.Slides==24.8.0
-BCEmbedding==0.1.3
-Bio==1.7.1
-boto3==1.34.140
-botocore==1.34.140
-cachetools==5.3.3
-chardet==5.2.0
-cn2an==0.5.22
-cohere==5.6.2
-dashscope==1.14.1
-datrie==0.8.2
-deepl==1.18.0
-demjson3==3.0.6
-discord.py==2.3.2
-duckduckgo_search==6.1.9
-editdistance==0.8.1
-elastic_transport==8.12.0
-elasticsearch==8.12.1
-elasticsearch_dsl==8.12.0
-fastembed==0.2.6
-fasttext==0.9.3
-filelock==3.15.4
-FlagEmbedding==1.2.10
-Flask==3.0.3
-Flask_Cors==5.0.0
-Flask_Login==0.6.3
-flask_session==0.8.0
-google_search_results==2.4.2
-groq==0.9.0
-hanziconv==0.3.2
-html_text==0.6.2
-httpx==0.27.0
-huggingface_hub==0.20.3
-infinity_emb==0.0.51
-itsdangerous==2.1.2
-Markdown==3.6
-markdown_to_json==2.1.1
-minio==7.2.4
-mistralai==0.4.2
-nltk==3.9.1
-numpy==1.26.4
-ollama==0.2.1
-onnxruntime==1.17.3
-onnxruntime_gpu==1.17.1
-openai==1.12.0
-opencv_python==4.9.0.80
-opencv_python_headless==4.9.0.80
-openpyxl==3.1.2
-ormsgpack==1.5.0   
-pandas==2.2.2
-pdfplumber==0.10.4
-peewee==3.17.1
-Pillow==10.3.0
-protobuf==5.27.2
-psycopg2-binary==2.9.9
-pyclipper==1.3.0.post5
-pycryptodomex==3.20.0
-pypdf==4.3.0
-PyPDF2==3.0.1
-pytest==8.2.2
-python-dotenv==1.0.1
-python_dateutil==2.8.2
-python_pptx==0.6.23
-pywencai==0.12.2
-qianfan==0.4.6
-ranx==0.3.20
-readability_lxml==0.8.1
-redis==5.0.3
-Requests==2.32.2
-replicate==0.31.0
-roman_numbers==1.0.2
-ruamel.base==1.0.0
-scholarly==1.7.11
-scikit_learn==1.5.0
-selenium==4.22.0
-setuptools==70.0.0
-Shapely==2.0.5
-six==1.16.0
-StrEnum==0.4.15
-tabulate==0.9.0
-tencentcloud-sdk-python==3.0.1215
-tika==2.6.0
-tiktoken==0.6.0
-torch==2.3.0
-transformers==4.38.1
-umap==0.1.1
-vertexai==1.64.0
-volcengine==1.0.146
-voyageai==0.2.3
-webdriver_manager==4.0.1
-websocket==0.2.1
-websocket-client==1.8.0
-Werkzeug==3.0.3
-wikipedia==1.4.0
-word2number==1.1
-xgboost==2.1.0
-xpinyin==0.7.6
-yfinance==0.1.96
-zhipuai==2.0.1

requirements_arm.txt

@@ -1,175 +0,0 @@
-accelerate==0.27.2
-aiohttp==3.10.2
-aiosignal==1.3.1
-annotated-types==0.6.0
-anthropic===0.34.1   
-anyio==4.3.0
-argon2-cffi==23.1.0
-argon2-cffi-bindings==21.2.0
-#Aspose.Slides==24.2.0
-attrs==23.2.0
-blinker==1.7.0
-cachelib==0.12.0
-cachetools==5.3.3
-certifi==2024.7.4
-cffi==1.16.0
-charset-normalizer==3.3.2
-click==8.1.7
-cohere==5.6.2
-coloredlogs==15.0.1
-cryptography==43.0.1
-dashscope==1.14.1
-datasets==2.17.1
-datrie==0.8.2
-demjson3==3.0.6
-dill==0.3.8
-distro==1.9.0
-elastic-transport==8.12.0
-elasticsearch==8.12.1
-elasticsearch-dsl==8.12.0
-et-xmlfile==1.1.0
-filelock==3.13.1
-fastembed==0.2.6
-FlagEmbedding==1.2.5
-Flask==3.0.2
-Flask-Cors==5.0.0
-Flask-Login==0.6.3
-Flask-Session==0.6.0
-flatbuffers==23.5.26
-frozenlist==1.4.1
-fsspec==2023.10.0
-h11==0.14.0
-hanziconv==0.3.2
-httpcore==1.0.4
-httpx==0.27.0
-huggingface-hub==0.20.3
-humanfriendly==10.0
-idna==3.7
-itsdangerous==2.1.2
-Jinja2==3.1.4
-joblib==1.3.2
-lxml==5.1.0
-MarkupSafe==2.1.5
-minio==7.2.4
-mpmath==1.3.0
-multidict==6.0.5
-multiprocess==0.70.16
-networkx==3.2.1
-nltk==3.9
-numpy==1.26.4
-# nvidia-cublas-cu12==12.1.3.1
-# nvidia-cuda-cupti-cu12==12.1.105
-# nvidia-cuda-nvrtc-cu12==12.1.105
-# nvidia-cuda-runtime-cu12==12.1.105
-# nvidia-cudnn-cu12==8.9.2.26
-# nvidia-cufft-cu12==11.0.2.54
-# nvidia-curand-cu12==10.3.2.106
-# nvidia-cusolver-cu12==11.4.5.107
-# nvidia-cusparse-cu12==12.1.0.106
-# nvidia-nccl-cu12==2.19.3
-# nvidia-nvjitlink-cu12==12.3.101
-# nvidia-nvtx-cu12==12.1.105
-ollama==0.1.9
-# onnxruntime-gpu==1.17.1
-openai==1.12.0
-opencv-python==4.9.0.80
-openpyxl==3.1.2
-ormsgpack==1.5.0   
-packaging==23.2
-pandas==2.2.1
-pdfminer.six==20221105
-pdfplumber==0.10.4
-peewee==3.17.1
-pillow==10.3.0
-protobuf==4.25.3
-psutil==5.9.8
-psycopg2-binary==2.9.9
-pyarrow==15.0.0
-pyarrow-hotfix==0.6
-pyclipper==1.3.0.post5
-pycparser==2.21
-pycryptodome
-pycryptodome-test-vectors
-pycryptodomex
-pydantic==2.6.2
-pydantic_core==2.16.3
-PyJWT==2.8.0
-PyMySQL==1.1.1
-PyPDF2==3.0.1
-pypdfium2==4.27.0
-python-dateutil==2.8.2
-python-docx==1.1.0
-python-dotenv==1.0.1
-python-pptx==0.6.23
-PyYAML==6.0.1
-qianfan==0.4.6
-redis==5.0.3
-regex==2023.12.25
-replicate==0.31.0
-requests==2.32.2
-ruamel.yaml==0.18.6
-ruamel.yaml.clib==0.2.8
-safetensors==0.4.2
-scikit-learn==1.5.0
-scipy==1.12.0
-sentence-transformers==2.4.0
-shapely==2.0.3
-six==1.16.0
-sniffio==1.3.1
-StrEnum==0.4.15
-sympy==1.12
-tencentcloud-sdk-python==3.0.1215
-threadpoolctl==3.3.0
-tika==2.6.0
-tiktoken==0.6.0
-tokenizers==0.15.2
-torch==2.2.1
-tqdm==4.66.3
-transformers==4.38.1
-# triton==2.2.0
-typing_extensions==4.10.0
-tzdata==2024.1
-urllib3==2.2.2
-Werkzeug==3.0.3
-xgboost==2.0.3
-XlsxWriter==3.2.0
-xpinyin==0.7.6
-xxhash==3.4.1
-yarl==1.9.4
-zhipuai==2.0.1
-BCEmbedding
-loguru==0.7.2
-umap-learn
-fasttext==0.9.2
-volcengine==1.0.141
-voyageai==0.2.3
-opencv-python-headless==4.9.0.80
-readability-lxml==0.8.1
-html_text==0.6.2
-selenium==4.21.0
-webdriver-manager==4.0.1
-cn2an==0.5.22
-roman-numbers==1.0.2
-word2number==1.1
-markdown==3.6
-mistralai==0.4.2
-boto3==1.34.140
-duckduckgo_search==6.1.9
-google-generativeai==0.7.2
-groq==0.9.0
-wikipedia==1.4.0
-Bio==1.7.1
-arxiv==2.1.3
-pypdf==4.3.0
-google_search_results==2.4.2
-editdistance==0.8.1
-markdown_to_json==2.1.1
-scholarly==1.7.11
-deepl==1.18.0
-psycopg2-binary==2.9.9
-tabulate==0.9.0
-vertexai==1.64.0
-yfinance==0.1.96
-pywencai==0.12.2
-akshare==1.14.72
-ranx==0.3.20