zhichyu writinwaters commited on
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620e67e
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1 Parent(s): 82adb1c

Add doc for dev image (#2641)

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Add doc for dev image

### Type of change

- [x] Documentation Update

---------

Co-authored-by: writinwaters <[email protected]>

Dockerfile CHANGED
@@ -1,23 +1,106 @@
1
- FROM infiniflow/ragflow-base:v2.0
2
- USER root
 
 
 
3
 
4
  WORKDIR /ragflow
5
 
6
- ADD ./web ./web
7
- RUN cd ./web && npm i --force && npm run build
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
 
9
- ADD ./api ./api
10
- ADD ./conf ./conf
11
- ADD ./deepdoc ./deepdoc
12
- ADD ./rag ./rag
13
- ADD ./agent ./agent
14
- ADD ./graphrag ./graphrag
15
 
16
  ENV PYTHONPATH=/ragflow/
17
- ENV HF_ENDPOINT=https://hf-mirror.com
18
 
19
- ADD docker/entrypoint.sh ./entrypoint.sh
20
- ADD docker/.env ./
21
  RUN chmod +x ./entrypoint.sh
22
 
23
- ENTRYPOINT ["./entrypoint.sh"]
 
1
+ # base stage
2
+ FROM ubuntu:24.04 AS base
3
+ USER root
4
+
5
+ ENV LIGHTEN=0
6
 
7
  WORKDIR /ragflow
8
 
9
+ RUN rm -f /etc/apt/apt.conf.d/docker-clean \
10
+ && echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache
11
+
12
+ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
13
+ apt update && apt-get --no-install-recommends install -y ca-certificates
14
+
15
+ # if you located in China, you can use tsinghua mirror to speed up apt
16
+ RUN sed -i 's|http://archive.ubuntu.com|https://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/ubuntu.sources
17
+
18
+ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
19
+ apt update && apt install -y curl libpython3-dev nginx libglib2.0-0 libglx-mesa0 \
20
+ && rm -rf /var/lib/apt/lists/* \
21
+ && curl -sSL https://install.python-poetry.org | python3 -
22
+
23
+ ENV PYTHONDONTWRITEBYTECODE=1 LD_LIBRARY_PATH=usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH
24
+
25
+ # Configure Poetry
26
+ ENV POETRY_NO_INTERACTION=1
27
+ ENV POETRY_VIRTUALENVS_IN_PROJECT=true
28
+ ENV POETRY_VIRTUALENVS_CREATE=true
29
+ ENV POETRY_REQUESTS_TIMEOUT=15
30
+
31
+ # builder stage
32
+ FROM base AS builder
33
+ USER root
34
+
35
+ WORKDIR /ragflow
36
+
37
+ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
38
+ apt update && apt install -y nodejs npm cargo && \
39
+ rm -rf /var/lib/apt/lists/*
40
+
41
+ COPY web web
42
+ RUN cd web && npm i --force && npm run build
43
+
44
+ # install dependencies from poetry.lock file
45
+ COPY pyproject.toml poetry.toml poetry.lock ./
46
+
47
+ RUN --mount=type=cache,target=/root/.cache/pypoetry,sharing=locked \
48
+ if [ "$LIGHTEN" -eq 0 ]; then \
49
+ /root/.local/bin/poetry install --sync --no-cache --no-root --with=full; \
50
+ else \
51
+ /root/.local/bin/poetry install --sync --no-cache --no-root; \
52
+ fi
53
+
54
+ # production stage
55
+ FROM base AS production
56
+ USER root
57
+
58
+ WORKDIR /ragflow
59
+
60
+ # Install python packages' dependencies
61
+ # cv2 requires libGL.so.1
62
+ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
63
+ apt update && apt install -y --no-install-recommends nginx libgl1 vim less && \
64
+ rm -rf /var/lib/apt/lists/*
65
+
66
+ COPY web web
67
+ COPY api api
68
+ COPY conf conf
69
+ COPY deepdoc deepdoc
70
+ COPY rag rag
71
+ COPY agent agent
72
+ COPY graphrag graphrag
73
+ COPY pyproject.toml poetry.toml poetry.lock ./
74
+
75
+ # Copy models downloaded via download_deps.py
76
+ RUN mkdir -p /ragflow/rag/res/deepdoc /root/.ragflow
77
+ RUN --mount=type=bind,source=huggingface.io,target=/huggingface.io \
78
+ tar --exclude='.*' -cf - \
79
+ /huggingface.io/InfiniFlow/text_concat_xgb_v1.0 \
80
+ /huggingface.io/InfiniFlow/deepdoc \
81
+ | tar -xf - --strip-components=3 -C /ragflow/rag/res/deepdoc
82
+ RUN --mount=type=bind,source=huggingface.io,target=/huggingface.io \
83
+ tar -cf - \
84
+ /huggingface.io/BAAI/bge-large-zh-v1.5 \
85
+ /huggingface.io/BAAI/bge-reranker-v2-m3 \
86
+ /huggingface.io/maidalun1020/bce-embedding-base_v1 \
87
+ /huggingface.io/maidalun1020/bce-reranker-base_v1 \
88
+ | tar -xf - --strip-components=2 -C /root/.ragflow
89
+
90
+ # Copy compiled web pages
91
+ COPY --from=builder /ragflow/web/dist /ragflow/web/dist
92
+
93
+ # Copy Python environment and packages
94
+ ENV VIRTUAL_ENV=/ragflow/.venv
95
+ COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
96
+ ENV PATH="${VIRTUAL_ENV}/bin:/root/.local/bin:${PATH}"
97
 
98
+ # Download nltk data
99
+ RUN python3 -m nltk.downloader wordnet punkt punkt_tab
 
 
 
 
100
 
101
  ENV PYTHONPATH=/ragflow/
 
102
 
103
+ COPY docker/entrypoint.sh ./entrypoint.sh
 
104
  RUN chmod +x ./entrypoint.sh
105
 
106
+ ENTRYPOINT ["./entrypoint.sh"]
docker/.env CHANGED
@@ -33,7 +33,7 @@ REDIS_PASSWORD=infini_rag_flow
33
 
34
  SVR_HTTP_PORT=9380
35
 
36
- RAGFLOW_VERSION=dev
37
 
38
  TIMEZONE='Asia/Shanghai'
39
 
 
33
 
34
  SVR_HTTP_PORT=9380
35
 
36
+ RAGFLOW_VERSION=dev-slim
37
 
38
  TIMEZONE='Asia/Shanghai'
39
 
docs/guides/develop/build_docker_image.md CHANGED
@@ -36,17 +36,52 @@ cd ragflow
36
 
37
  ### Build the Docker Image
38
 
39
- Navigate to the `ragflow` directory where the Dockerfile and other necessary files are located. Now you can build the Docker image using the provided Dockerfile. The command below specifies which Dockerfile to use and tages the image with a name for reference purpose.
40
 
41
- #### Build image `ragflow:dev-slim`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  ```bash
43
- docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
 
 
 
44
  ```
45
- This image's size is about 1GB. It relies external LLM services since it doesn't contain embedding models.
46
 
47
- #### Build image `ragflow:dev`
48
  ```bash
49
- cd ragflow/
50
- docker build -f Dockerfile -t infiniflow/ragflow:dev .
 
 
51
  ```
52
- This image's size is about 11GB. It contains embedding models, and can inference via local CPU/GPU or external LLM services.
 
 
 
 
 
 
 
 
36
 
37
  ### Build the Docker Image
38
 
39
+ Navigate to the `ragflow` directory where the Dockerfile and other necessary files are located. Now you can build the Docker image using the provided Dockerfile. The command below specifies which Dockerfile to use and tags the image with a name for reference purpose.
40
 
41
+ #### Build and push multi-arch image `infiniflow/ragflow:dev-slim`
42
+
43
+ On a `linux/amd64` host:
44
+ ```bash
45
+ docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim-amd64 .
46
+ docker push infiniflow/ragflow:dev-slim-amd64
47
+ ```
48
+
49
+ On a `linux/arm64` host:
50
+ ```bash
51
+ docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim-arm64 .
52
+ docker push infiniflow/ragflow:dev-slim-arm64
53
+ ```
54
+
55
+ On a Linux host:
56
+ ```bash
57
+ docker manifest create infiniflow/ragflow:dev-slim --amend infiniflow/ragflow:dev-slim-amd64 --amend infiniflow/ragflow:dev-slim-arm64
58
+ docker manifest push infiniflow/ragflow:dev-slim
59
+ ```
60
+
61
+ This image is approximately 1 GB in size and relies on external LLM services, as it does not include deepdoc, embedding, or chat models.
62
+
63
+ #### Build and push multi-arch image `infiniflow/ragflow:dev`
64
+
65
+ On a `linux/amd64` host:
66
  ```bash
67
+ pip3 install huggingface-hub
68
+ python3 download_deps.py
69
+ docker build -f Dockerfile -t infiniflow/ragflow:dev-amd64 .
70
+ docker push infiniflow/ragflow:dev-amd64
71
  ```
 
72
 
73
+ On a `linux/arm64` host:
74
  ```bash
75
+ pip3 install huggingface-hub
76
+ python3 download_deps.py
77
+ docker build -f Dockerfile -t infiniflow/ragflow:dev-arm64 .
78
+ docker push infiniflow/ragflow:dev-arm64
79
  ```
80
+
81
+ On any linux host:
82
+ ```bash
83
+ docker manifest create infiniflow/ragflow:dev --amend infiniflow/ragflow:dev-amd64 --amend infiniflow/ragflow:dev-arm64
84
+ docker manifest push infiniflow/ragflow:dev
85
+ ```
86
+
87
+ This image's size is approximately 9 GB in size and can reference via either local CPU/GPU or an external LLM, as it includes deepdoc, embedding, and chat models.
docs/guides/develop/launch_ragflow_from_source.md CHANGED
@@ -118,7 +118,7 @@ docker compose -f docker/docker-compose-base.yml up -d
118
 
119
  ```bash
120
  npm run dev
121
- ```
122
 
123
  *The following message appears, showing the IP address and port number of your frontend service:*
124
 
@@ -126,4 +126,16 @@ docker compose -f docker/docker-compose-base.yml up -d
126
 
127
  ### Access the RAGFlow service
128
 
129
- In your web browser, enter `http://127.0.0.1:<PORT>/`, ensuring the port number matches that shown in the screenshot above.
 
 
 
 
 
 
 
 
 
 
 
 
 
118
 
119
  ```bash
120
  npm run dev
121
+ ```
122
 
123
  *The following message appears, showing the IP address and port number of your frontend service:*
124
 
 
126
 
127
  ### Access the RAGFlow service
128
 
129
+ In your web browser, enter `http://127.0.0.1:<PORT>/`, ensuring the port number matches that shown in the screenshot above.
130
+
131
+ ### Stop the RAGFlow service when the development is done
132
+
133
+ 1. Stop the RAGFlow frontend service:
134
+ ```bash
135
+ pkill npm
136
+ ```
137
+
138
+ 2. Stop the RAGFlow backend service:
139
+ ```bash
140
+ pkill -f "docker/entrypoint.sh"
141
+ ```
download_deps.py ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+
3
+ from huggingface_hub import snapshot_download
4
+ import os
5
+
6
+ repos = [
7
+ "InfiniFlow/text_concat_xgb_v1.0",
8
+ "InfiniFlow/deepdoc",
9
+ "BAAI/bge-large-zh-v1.5",
10
+ "BAAI/bge-reranker-v2-m3",
11
+ "maidalun1020/bce-embedding-base_v1",
12
+ "maidalun1020/bce-reranker-base_v1",
13
+ ]
14
+
15
+
16
+ def download_model(repo_id):
17
+ local_dir = os.path.join("huggingface.io", repo_id)
18
+ os.makedirs(local_dir, exist_ok=True)
19
+ snapshot_download(repo_id=repo_id, local_dir=local_dir)
20
+
21
+
22
+ if __name__ == "__main__":
23
+ for repo_id in repos:
24
+ download_model(repo_id)
download_deps.sh DELETED
@@ -1,38 +0,0 @@
1
- #!/usr/bin/env bash
2
-
3
- download()
4
- {
5
- echo "download $1"
6
- # https://stackoverflow.com/questions/3162385/how-to-split-a-string-in-shell-and-get-the-last-field
7
- fn=${1##*/}
8
- if [ ! -f $fn ] ; then
9
- wget --no-check-certificate $1
10
- fi
11
- }
12
-
13
- # https://stackoverflow.com/questions/24628076/convert-multiline-string-to-array
14
- names="https://huggingface.co/InfiniFlow/deepdoc/resolve/main/det.onnx
15
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/layout.laws.onnx
16
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/layout.manual.onnx
17
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/layout.onnx
18
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/layout.paper.onnx
19
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/ocr.res
20
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/rec.onnx
21
- https://huggingface.co/InfiniFlow/deepdoc/resolve/main/tsr.onnx
22
- https://huggingface.co/InfiniFlow/text_concat_xgb_v1.0/resolve/main/updown_concat_xgb.model"
23
-
24
- SAVEIFS=$IFS # Save current IFS (Internal Field Separator)
25
- IFS=$'\n' # Change IFS to newline char
26
- names=($names) # split the `names` string into an array by the same name
27
- IFS=$SAVEIFS # Restore original IFS
28
-
29
- find . -size 0 | xargs rm -f
30
- # https://stackoverflow.com/questions/15466808/shell-iterate-over-array
31
- for ((i=0; i<${#names[@]}; i+=1)); do
32
- url="${names[$i]}"
33
- download $url
34
- if [ $? != 0 ]; then
35
- exit -1
36
- fi
37
- done
38
- find . -size 0 | xargs rm -f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
poetry.lock CHANGED
@@ -44,102 +44,102 @@ files = [
44
 
45
  [[package]]
46
  name = "aiohttp"
47
- version = "3.10.6"
48
  description = "Async http client/server framework (asyncio)"
49
  optional = false
50
  python-versions = ">=3.8"
51
  files = [
52
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143
  ]
144
 
145
  [package.dependencies]
@@ -191,13 +191,13 @@ files = [
191
 
192
  [[package]]
193
  name = "akshare"
194
- version = "1.14.84"
195
  description = "AKShare is an elegant and simple financial data interface library for Python, built for human beings!"
196
  optional = false
197
  python-versions = ">=3.8"
198
  files = [
199
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201
  ]
202
 
203
  [package.dependencies]
@@ -2776,76 +2776,85 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
2776
 
2777
  [[package]]
2778
  name = "grpcio"
2779
- version = "1.66.1"
2780
  description = "HTTP/2-based RPC framework"
2781
  optional = false
2782
  python-versions = ">=3.8"
2783
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2810
- {file = "grpcio-1.66.1-cp312-cp312-win_amd64.whl", hash = "sha256:b0aa03d240b5539648d996cc60438f128c7f46050989e35b25f5c18286c86734"},
2811
- {file = "grpcio-1.66.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:ecfe735e7a59e5a98208447293ff8580e9db1e890e232b8b292dc8bd15afc0d2"},
2812
- {file = "grpcio-1.66.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4825a3aa5648010842e1c9d35a082187746aa0cdbf1b7a2a930595a94fb10fce"},
2813
- {file = "grpcio-1.66.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:f517fd7259fe823ef3bd21e508b653d5492e706e9f0ef82c16ce3347a8a5620c"},
2814
- {file = "grpcio-1.66.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f1fe60d0772831d96d263b53d83fb9a3d050a94b0e94b6d004a5ad111faa5b5b"},
2815
- {file = "grpcio-1.66.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31a049daa428f928f21090403e5d18ea02670e3d5d172581670be006100db9ef"},
2816
- {file = "grpcio-1.66.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6f914386e52cbdeb5d2a7ce3bf1fdfacbe9d818dd81b6099a05b741aaf3848bb"},
2817
- {file = "grpcio-1.66.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bff2096bdba686019fb32d2dde45b95981f0d1490e054400f70fc9a8af34b49d"},
2818
- {file = "grpcio-1.66.1-cp38-cp38-win32.whl", hash = "sha256:aa8ba945c96e73de29d25331b26f3e416e0c0f621e984a3ebdb2d0d0b596a3b3"},
2819
- {file = "grpcio-1.66.1-cp38-cp38-win_amd64.whl", hash = "sha256:161d5c535c2bdf61b95080e7f0f017a1dfcb812bf54093e71e5562b16225b4ce"},
2820
- {file = "grpcio-1.66.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:d0cd7050397b3609ea51727b1811e663ffda8bda39c6a5bb69525ef12414b503"},
2821
- {file = "grpcio-1.66.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0e6c9b42ded5d02b6b1fea3a25f036a2236eeb75d0579bfd43c0018c88bf0a3e"},
2822
- {file = "grpcio-1.66.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:c9f80f9fad93a8cf71c7f161778ba47fd730d13a343a46258065c4deb4b550c0"},
2823
- {file = "grpcio-1.66.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5dd67ed9da78e5121efc5c510f0122a972216808d6de70953a740560c572eb44"},
2824
- {file = "grpcio-1.66.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48b0d92d45ce3be2084b92fb5bae2f64c208fea8ceed7fccf6a7b524d3c4942e"},
2825
- {file = "grpcio-1.66.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:4d813316d1a752be6f5c4360c49f55b06d4fe212d7df03253dfdae90c8a402bb"},
2826
- {file = "grpcio-1.66.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9c9bebc6627873ec27a70fc800f6083a13c70b23a5564788754b9ee52c5aef6c"},
2827
- {file = "grpcio-1.66.1-cp39-cp39-win32.whl", hash = "sha256:30a1c2cf9390c894c90bbc70147f2372130ad189cffef161f0432d0157973f45"},
2828
- {file = "grpcio-1.66.1-cp39-cp39-win_amd64.whl", hash = "sha256:17663598aadbedc3cacd7bbde432f541c8e07d2496564e22b214b22c7523dac8"},
2829
- {file = "grpcio-1.66.1.tar.gz", hash = "sha256:35334f9c9745add3e357e3372756fd32d925bd52c41da97f4dfdafbde0bf0ee2"},
2830
- ]
2831
-
2832
- [package.extras]
2833
- protobuf = ["grpcio-tools (>=1.66.1)"]
 
 
 
 
 
 
 
 
 
2834
 
2835
  [[package]]
2836
  name = "grpcio-status"
2837
- version = "1.66.1"
2838
  description = "Status proto mapping for gRPC"
2839
  optional = false
2840
  python-versions = ">=3.8"
2841
  files = [
2842
- {file = "grpcio_status-1.66.1-py3-none-any.whl", hash = "sha256:cf9ed0b4a83adbe9297211c95cb5488b0cd065707e812145b842c85c4782ff02"},
2843
- {file = "grpcio_status-1.66.1.tar.gz", hash = "sha256:b3f7d34ccc46d83fea5261eea3786174459f763c31f6e34f1d24eba6d515d024"},
2844
  ]
2845
 
2846
  [package.dependencies]
2847
  googleapis-common-protos = ">=1.5.5"
2848
- grpcio = ">=1.66.1"
2849
  protobuf = ">=5.26.1,<6.0dev"
2850
 
2851
  [[package]]
@@ -4794,36 +4803,36 @@ reference = ["google-re2", "pillow"]
4794
 
4795
  [[package]]
4796
  name = "onnxruntime"
4797
- version = "1.17.3"
4798
  description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
4799
  optional = false
4800
  python-versions = "*"
4801
  files = [
4802
- {file = "onnxruntime-1.17.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d86dde9c0bb435d709e51bd25991c9fe5b9a5b168df45ce119769edc4d198b15"},
4803
- {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9d87b68bf931ac527b2d3c094ead66bb4381bac4298b65f46c54fe4d1e255865"},
4804
- {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:26e950cf0333cf114a155f9142e71da344d2b08dfe202763a403ae81cc02ebd1"},
4805
- {file = "onnxruntime-1.17.3-cp310-cp310-win32.whl", hash = "sha256:0962a4d0f5acebf62e1f0bf69b6e0adf16649115d8de854c1460e79972324d68"},
4806
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4807
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4808
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4810
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4811
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4812
- {file = "onnxruntime-1.17.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:77c318178d9c16e9beadd9a4070d8aaa9f57382c3f509b01709f0f010e583b99"},
4813
- {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23da8469049b9759082e22c41a444f44a520a9c874b084711b6343672879f50b"},
4814
- {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2949730215af3f9289008b2e31e9bbef952012a77035b911c4977edea06f3f9e"},
4815
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4816
- {file = "onnxruntime-1.17.3-cp312-cp312-win_amd64.whl", hash = "sha256:58672cf20293a1b8a277a5c6c55383359fcdf6119b2f14df6ce3b140f5001c39"},
4817
- {file = "onnxruntime-1.17.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:4395ba86e3c1e93c794a00619ef1aec597ab78f5a5039f3c6d2e9d0695c0a734"},
4818
- {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf354c04344ec38564fc22394e1fe08aa6d70d790df00159205a0055c4a4d3f"},
4819
- {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a94b600b7af50e922d44b95a57981e3e35103c6e3693241a03d3ca204740bbda"},
4820
- {file = "onnxruntime-1.17.3-cp38-cp38-win32.whl", hash = "sha256:5a335c76f9c002a8586c7f38bc20fe4b3725ced21f8ead835c3e4e507e42b2ab"},
4821
- {file = "onnxruntime-1.17.3-cp38-cp38-win_amd64.whl", hash = "sha256:8f56a86fbd0ddc8f22696ddeda0677b041381f4168a2ca06f712ef6ec6050d6d"},
4822
- {file = "onnxruntime-1.17.3-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:e0ae39f5452278cd349520c296e7de3e90d62dc5b0157c6868e2748d7f28b871"},
4823
- {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3ff2dc012bd930578aff5232afd2905bf16620815f36783a941aafabf94b3702"},
4824
- {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cf6c37483782e4785019b56e26224a25e9b9a35b849d0169ce69189867a22bb1"},
4825
- {file = "onnxruntime-1.17.3-cp39-cp39-win32.whl", hash = "sha256:351bf5a1140dcc43bfb8d3d1a230928ee61fcd54b0ea664c8e9a889a8e3aa515"},
4826
- {file = "onnxruntime-1.17.3-cp39-cp39-win_amd64.whl", hash = "sha256:57a3de15778da8d6cc43fbf6cf038e1e746146300b5f0b1fbf01f6f795dc6440"},
4827
  ]
4828
 
4829
  [package.dependencies]
@@ -8391,15 +8400,17 @@ files = [
8391
  h11 = ">=0.9.0,<1"
8392
 
8393
  [[package]]
8394
- name = "xgboost-cpu"
8395
- version = "2.1.1"
8396
  description = "XGBoost Python Package"
8397
  optional = false
8398
- python-versions = ">=3.8"
8399
  files = [
8400
- {file = "xgboost_cpu-2.1.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:eba45fbf5fb401a3bcd937ad8533371360523d2bf5c7bd5d2bb3db5a91b6449b"},
8401
- {file = "xgboost_cpu-2.1.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:b81035bfe83542bcad54eac0ef901d42a56798f9709990bdbdcbace93ef2fa34"},
8402
- {file = "xgboost_cpu-2.1.1-py3-none-win_amd64.whl", hash = "sha256:6ac9d9697db1938fdbaaca1fede679a1ef49c4c73ea8a51f1ca14c412693afd7"},
 
 
8403
  ]
8404
 
8405
  [package.dependencies]
@@ -8409,9 +8420,8 @@ scipy = "*"
8409
  [package.extras]
8410
  dask = ["dask", "distributed", "pandas"]
8411
  datatable = ["datatable"]
8412
- pandas = ["pandas (>=1.2)"]
8413
  plotting = ["graphviz", "matplotlib"]
8414
- pyspark = ["cloudpickle", "pyspark", "scikit-learn"]
8415
  scikit-learn = ["scikit-learn"]
8416
 
8417
  [[package]]
@@ -8589,103 +8599,103 @@ files = [
8589
 
8590
  [[package]]
8591
  name = "yarl"
8592
- version = "1.13.0"
8593
  description = "Yet another URL library"
8594
  optional = false
8595
  python-versions = ">=3.8"
8596
  files = [
8597
- {file = "yarl-1.13.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:66c028066be36d54e7a0a38e832302b23222e75db7e65ed862dc94effc8ef062"},
8598
- {file = "yarl-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:517f9d90ca0224bb7002266eba6e70d8fcc8b1d0c9321de2407e41344413ed46"},
8599
- {file = "yarl-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5378cb60f4209505f6aa60423c174336bd7b22e0d8beb87a2a99ad50787f1341"},
8600
- {file = "yarl-1.13.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0675a9cf65176e11692b20a516d5f744849251aa24024f422582d2d1bf7c8c82"},
8601
- {file = "yarl-1.13.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:419c22b419034b4ee3ba1c27cbbfef01ca8d646f9292f614f008093143334cdc"},
8602
- {file = "yarl-1.13.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aaf10e525e461f43831d82149d904f35929d89f3ccd65beaf7422aecd500dd39"},
8603
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8604
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8605
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8610
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8611
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8612
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8613
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8614
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8626
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8627
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8628
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8629
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8689
  ]
8690
 
8691
  [package.dependencies]
@@ -8769,4 +8779,4 @@ files = [
8769
  [metadata]
8770
  lock-version = "2.0"
8771
  python-versions = ">=3.12,<3.13"
8772
- content-hash = "54adfb22b091071cdc270a03a9118b30e5c0662c119f0a70cf42a5b7e1f640ef"
 
44
 
45
  [[package]]
46
  name = "aiohttp"
47
+ version = "3.10.8"
48
  description = "Async http client/server framework (asyncio)"
49
  optional = false
50
  python-versions = ">=3.8"
51
  files = [
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  ]
144
 
145
  [package.dependencies]
 
191
 
192
  [[package]]
193
  name = "akshare"
194
+ version = "1.14.86"
195
  description = "AKShare is an elegant and simple financial data interface library for Python, built for human beings!"
196
  optional = false
197
  python-versions = ">=3.8"
198
  files = [
199
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201
  ]
202
 
203
  [package.dependencies]
 
2776
 
2777
  [[package]]
2778
  name = "grpcio"
2779
+ version = "1.66.2"
2780
  description = "HTTP/2-based RPC framework"
2781
  optional = false
2782
  python-versions = ">=3.8"
2783
  files = [
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2807
+ {file = "grpcio-1.66.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:a917d26e0fe980b0ac7bfcc1a3c4ad6a9a4612c911d33efb55ed7833c749b0ee"},
2808
+ {file = "grpcio-1.66.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:49f0ca7ae850f59f828a723a9064cadbed90f1ece179d375966546499b8a2c9c"},
2809
+ {file = "grpcio-1.66.2-cp312-cp312-win32.whl", hash = "sha256:31fd163105464797a72d901a06472860845ac157389e10f12631025b3e4d0453"},
2810
+ {file = "grpcio-1.66.2-cp312-cp312-win_amd64.whl", hash = "sha256:ff1f7882e56c40b0d33c4922c15dfa30612f05fb785074a012f7cda74d1c3679"},
2811
+ {file = "grpcio-1.66.2-cp313-cp313-linux_armv7l.whl", hash = "sha256:3b00efc473b20d8bf83e0e1ae661b98951ca56111feb9b9611df8efc4fe5d55d"},
2812
+ {file = "grpcio-1.66.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:1caa38fb22a8578ab8393da99d4b8641e3a80abc8fd52646f1ecc92bcb8dee34"},
2813
+ {file = "grpcio-1.66.2-cp313-cp313-manylinux_2_17_aarch64.whl", hash = "sha256:c408f5ef75cfffa113cacd8b0c0e3611cbfd47701ca3cdc090594109b9fcbaed"},
2814
+ {file = "grpcio-1.66.2-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c806852deaedee9ce8280fe98955c9103f62912a5b2d5ee7e3eaa284a6d8d8e7"},
2815
+ {file = "grpcio-1.66.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f145cc21836c332c67baa6fc81099d1d27e266401565bf481948010d6ea32d46"},
2816
+ {file = "grpcio-1.66.2-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:73e3b425c1e155730273f73e419de3074aa5c5e936771ee0e4af0814631fb30a"},
2817
+ {file = "grpcio-1.66.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:9c509a4f78114cbc5f0740eb3d7a74985fd2eff022971bc9bc31f8bc93e66a3b"},
2818
+ {file = "grpcio-1.66.2-cp313-cp313-win32.whl", hash = "sha256:20657d6b8cfed7db5e11b62ff7dfe2e12064ea78e93f1434d61888834bc86d75"},
2819
+ {file = "grpcio-1.66.2-cp313-cp313-win_amd64.whl", hash = "sha256:fb70487c95786e345af5e854ffec8cb8cc781bcc5df7930c4fbb7feaa72e1cdf"},
2820
+ {file = "grpcio-1.66.2-cp38-cp38-linux_armv7l.whl", hash = "sha256:a18e20d8321c6400185b4263e27982488cb5cdd62da69147087a76a24ef4e7e3"},
2821
+ {file = "grpcio-1.66.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:02697eb4a5cbe5a9639f57323b4c37bcb3ab2d48cec5da3dc2f13334d72790dd"},
2822
+ {file = "grpcio-1.66.2-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:99a641995a6bc4287a6315989ee591ff58507aa1cbe4c2e70d88411c4dcc0839"},
2823
+ {file = "grpcio-1.66.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3ed71e81782966ffead60268bbda31ea3f725ebf8aa73634d5dda44f2cf3fb9c"},
2824
+ {file = "grpcio-1.66.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bbd27c24a4cc5e195a7f56cfd9312e366d5d61b86e36d46bbe538457ea6eb8dd"},
2825
+ {file = "grpcio-1.66.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:d9a9724a156c8ec6a379869b23ba3323b7ea3600851c91489b871e375f710bc8"},
2826
+ {file = "grpcio-1.66.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d8d4732cc5052e92cea2f78b233c2e2a52998ac40cd651f40e398893ad0d06ec"},
2827
+ {file = "grpcio-1.66.2-cp38-cp38-win32.whl", hash = "sha256:7b2c86457145ce14c38e5bf6bdc19ef88e66c5fee2c3d83285c5aef026ba93b3"},
2828
+ {file = "grpcio-1.66.2-cp38-cp38-win_amd64.whl", hash = "sha256:e88264caad6d8d00e7913996030bac8ad5f26b7411495848cc218bd3a9040b6c"},
2829
+ {file = "grpcio-1.66.2-cp39-cp39-linux_armv7l.whl", hash = "sha256:c400ba5675b67025c8a9f48aa846f12a39cf0c44df5cd060e23fda5b30e9359d"},
2830
+ {file = "grpcio-1.66.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:66a0cd8ba6512b401d7ed46bb03f4ee455839957f28b8d61e7708056a806ba6a"},
2831
+ {file = "grpcio-1.66.2-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:06de8ec0bd71be123eec15b0e0d457474931c2c407869b6c349bd9bed4adbac3"},
2832
+ {file = "grpcio-1.66.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fb57870449dfcfac428afbb5a877829fcb0d6db9d9baa1148705739e9083880e"},
2833
+ {file = "grpcio-1.66.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b672abf90a964bfde2d0ecbce30f2329a47498ba75ce6f4da35a2f4532b7acbc"},
2834
+ {file = "grpcio-1.66.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:ad2efdbe90c73b0434cbe64ed372e12414ad03c06262279b104a029d1889d13e"},
2835
+ {file = "grpcio-1.66.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9c3a99c519f4638e700e9e3f83952e27e2ea10873eecd7935823dab0c1c9250e"},
2836
+ {file = "grpcio-1.66.2-cp39-cp39-win32.whl", hash = "sha256:78fa51ebc2d9242c0fc5db0feecc57a9943303b46664ad89921f5079e2e4ada7"},
2837
+ {file = "grpcio-1.66.2-cp39-cp39-win_amd64.whl", hash = "sha256:728bdf36a186e7f51da73be7f8d09457a03061be848718d0edf000e709418987"},
2838
+ {file = "grpcio-1.66.2.tar.gz", hash = "sha256:563588c587b75c34b928bc428548e5b00ea38c46972181a4d8b75ba7e3f24231"},
2839
+ ]
2840
+
2841
+ [package.extras]
2842
+ protobuf = ["grpcio-tools (>=1.66.2)"]
2843
 
2844
  [[package]]
2845
  name = "grpcio-status"
2846
+ version = "1.66.2"
2847
  description = "Status proto mapping for gRPC"
2848
  optional = false
2849
  python-versions = ">=3.8"
2850
  files = [
2851
+ {file = "grpcio_status-1.66.2-py3-none-any.whl", hash = "sha256:e5fe189f6897d12aa9cd74408a17ca41e44fad30871cf84f5cbd17bd713d2455"},
2852
+ {file = "grpcio_status-1.66.2.tar.gz", hash = "sha256:fb55cbb5c2e67062f7a4d5c99e489d074fb57e98678d5c3c6692a2d74d89e9ae"},
2853
  ]
2854
 
2855
  [package.dependencies]
2856
  googleapis-common-protos = ">=1.5.5"
2857
+ grpcio = ">=1.66.2"
2858
  protobuf = ">=5.26.1,<6.0dev"
2859
 
2860
  [[package]]
 
4803
 
4804
  [[package]]
4805
  name = "onnxruntime"
4806
+ version = "1.19.2"
4807
  description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
4808
  optional = false
4809
  python-versions = "*"
4810
  files = [
4811
+ {file = "onnxruntime-1.19.2-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:84fa57369c06cadd3c2a538ae2a26d76d583e7c34bdecd5769d71ca5c0fc750e"},
4812
+ {file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdc471a66df0c1cdef774accef69e9f2ca168c851ab5e4f2f3341512c7ef4666"},
4813
+ {file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e3a4ce906105d99ebbe817f536d50a91ed8a4d1592553f49b3c23c4be2560ae6"},
4814
+ {file = "onnxruntime-1.19.2-cp310-cp310-win32.whl", hash = "sha256:4b3d723cc154c8ddeb9f6d0a8c0d6243774c6b5930847cc83170bfe4678fafb3"},
4815
+ {file = "onnxruntime-1.19.2-cp310-cp310-win_amd64.whl", hash = "sha256:17ed7382d2c58d4b7354fb2b301ff30b9bf308a1c7eac9546449cd122d21cae5"},
4816
+ {file = "onnxruntime-1.19.2-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:d863e8acdc7232d705d49e41087e10b274c42f09e259016a46f32c34e06dc4fd"},
4817
+ {file = "onnxruntime-1.19.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c1dfe4f660a71b31caa81fc298a25f9612815215a47b286236e61d540350d7b6"},
4818
+ {file = "onnxruntime-1.19.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a36511dc07c5c964b916697e42e366fa43c48cdb3d3503578d78cef30417cb84"},
4819
+ {file = "onnxruntime-1.19.2-cp311-cp311-win32.whl", hash = "sha256:50cbb8dc69d6befad4746a69760e5b00cc3ff0a59c6c3fb27f8afa20e2cab7e7"},
4820
+ {file = "onnxruntime-1.19.2-cp311-cp311-win_amd64.whl", hash = "sha256:1c3e5d415b78337fa0b1b75291e9ea9fb2a4c1f148eb5811e7212fed02cfffa8"},
4821
+ {file = "onnxruntime-1.19.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:68e7051bef9cfefcbb858d2d2646536829894d72a4130c24019219442b1dd2ed"},
4822
+ {file = "onnxruntime-1.19.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d2d366fbcc205ce68a8a3bde2185fd15c604d9645888703785b61ef174265168"},
4823
+ {file = "onnxruntime-1.19.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:477b93df4db467e9cbf34051662a4b27c18e131fa1836e05974eae0d6e4cf29b"},
4824
+ {file = "onnxruntime-1.19.2-cp312-cp312-win32.whl", hash = "sha256:9a174073dc5608fad05f7cf7f320b52e8035e73d80b0a23c80f840e5a97c0147"},
4825
+ {file = "onnxruntime-1.19.2-cp312-cp312-win_amd64.whl", hash = "sha256:190103273ea4507638ffc31d66a980594b237874b65379e273125150eb044857"},
4826
+ {file = "onnxruntime-1.19.2-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:636bc1d4cc051d40bc52e1f9da87fbb9c57d9d47164695dfb1c41646ea51ea66"},
4827
+ {file = "onnxruntime-1.19.2-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5bd8b875757ea941cbcfe01582970cc299893d1b65bd56731e326a8333f638a3"},
4828
+ {file = "onnxruntime-1.19.2-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b2046fc9560f97947bbc1acbe4c6d48585ef0f12742744307d3364b131ac5778"},
4829
+ {file = "onnxruntime-1.19.2-cp38-cp38-win32.whl", hash = "sha256:31c12840b1cde4ac1f7d27d540c44e13e34f2345cf3642762d2a3333621abb6a"},
4830
+ {file = "onnxruntime-1.19.2-cp38-cp38-win_amd64.whl", hash = "sha256:016229660adea180e9a32ce218b95f8f84860a200f0f13b50070d7d90e92956c"},
4831
+ {file = "onnxruntime-1.19.2-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:006c8d326835c017a9e9f74c9c77ebb570a71174a1e89fe078b29a557d9c3848"},
4832
+ {file = "onnxruntime-1.19.2-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df2a94179a42d530b936f154615b54748239c2908ee44f0d722cb4df10670f68"},
4833
+ {file = "onnxruntime-1.19.2-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fae4b4de45894b9ce7ae418c5484cbf0341db6813effec01bb2216091c52f7fb"},
4834
+ {file = "onnxruntime-1.19.2-cp39-cp39-win32.whl", hash = "sha256:dc5430f473e8706fff837ae01323be9dcfddd3ea471c900a91fa7c9b807ec5d3"},
4835
+ {file = "onnxruntime-1.19.2-cp39-cp39-win_amd64.whl", hash = "sha256:38475e29a95c5f6c62c2c603d69fc7d4c6ccbf4df602bd567b86ae1138881c49"},
4836
  ]
4837
 
4838
  [package.dependencies]
 
8400
  h11 = ">=0.9.0,<1"
8401
 
8402
  [[package]]
8403
+ name = "xgboost"
8404
+ version = "1.5.0"
8405
  description = "XGBoost Python Package"
8406
  optional = false
8407
+ python-versions = ">=3.6"
8408
  files = [
8409
+ {file = "xgboost-1.5.0-py3-none-macosx_10_14_x86_64.macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:ae122406c2c1d2a407c18a49c2a05f9bbbaa3249fd39e91c11cb223d538dba4e"},
8410
+ {file = "xgboost-1.5.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:ebe36ee21516a37f645bcd1f3ca1247485fe77d96f1c3d605f970c469b6a9015"},
8411
+ {file = "xgboost-1.5.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:edaad84317a53671069b4477152915c25b4121d997bfa531711f0a18ba1402fe"},
8412
+ {file = "xgboost-1.5.0-py3-none-win_amd64.whl", hash = "sha256:9502a9ed5c52669c83207380eeaaa3862cbf38b271040c6d5226914e07cf196c"},
8413
+ {file = "xgboost-1.5.0.tar.gz", hash = "sha256:6b7c34a18474c1b73b5c6dcf1231f5fe102d6f26490a65465e3879048bf1f3d4"},
8414
  ]
8415
 
8416
  [package.dependencies]
 
8420
  [package.extras]
8421
  dask = ["dask", "distributed", "pandas"]
8422
  datatable = ["datatable"]
8423
+ pandas = ["pandas"]
8424
  plotting = ["graphviz", "matplotlib"]
 
8425
  scikit-learn = ["scikit-learn"]
8426
 
8427
  [[package]]
 
8599
 
8600
  [[package]]
8601
  name = "yarl"
8602
+ version = "1.13.1"
8603
  description = "Yet another URL library"
8604
  optional = false
8605
  python-versions = ">=3.8"
8606
  files = [
8607
+ {file = "yarl-1.13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:82e692fb325013a18a5b73a4fed5a1edaa7c58144dc67ad9ef3d604eccd451ad"},
8608
+ {file = "yarl-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df4e82e68f43a07735ae70a2d84c0353e58e20add20ec0af611f32cd5ba43fb4"},
8609
+ {file = "yarl-1.13.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec9dd328016d8d25702a24ee274932aebf6be9787ed1c28d021945d264235b3c"},
8610
+ {file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5820bd4178e6a639b3ef1db8b18500a82ceab6d8b89309e121a6859f56585b05"},
8611
+ {file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86c438ce920e089c8c2388c7dcc8ab30dfe13c09b8af3d306bcabb46a053d6f7"},
8612
+ {file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3de86547c820e4f4da4606d1c8ab5765dd633189791f15247706a2eeabc783ae"},
8613
+ {file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca53632007c69ddcdefe1e8cbc3920dd88825e618153795b57e6ebcc92e752a"},
8614
+ {file = "yarl-1.13.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d4ee1d240b84e2f213565f0ec08caef27a0e657d4c42859809155cf3a29d1735"},
8615
+ {file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c49f3e379177f4477f929097f7ed4b0622a586b0aa40c07ac8c0f8e40659a1ac"},
8616
+ {file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:5c5e32fef09ce101fe14acd0f498232b5710effe13abac14cd95de9c274e689e"},
8617
+ {file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ab9524e45ee809a083338a749af3b53cc7efec458c3ad084361c1dbf7aaf82a2"},
8618
+ {file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:b1481c048fe787f65e34cb06f7d6824376d5d99f1231eae4778bbe5c3831076d"},
8619
+ {file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:31497aefd68036d8e31bfbacef915826ca2e741dbb97a8d6c7eac66deda3b606"},
8620
+ {file = "yarl-1.13.1-cp310-cp310-win32.whl", hash = "sha256:1fa56f34b2236f5192cb5fceba7bbb09620e5337e0b6dfe2ea0ddbd19dd5b154"},
8621
+ {file = "yarl-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:1bbb418f46c7f7355084833051701b2301092e4611d9e392360c3ba2e3e69f88"},
8622
+ {file = "yarl-1.13.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:216a6785f296169ed52cd7dcdc2612f82c20f8c9634bf7446327f50398732a51"},
8623
+ {file = "yarl-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:40c6e73c03a6befb85b72da213638b8aaa80fe4136ec8691560cf98b11b8ae6e"},
8624
+ {file = "yarl-1.13.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2430cf996113abe5aee387d39ee19529327205cda975d2b82c0e7e96e5fdabdc"},
8625
+ {file = "yarl-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fb4134cc6e005b99fa29dbc86f1ea0a298440ab6b07c6b3ee09232a3b48f495"},
8626
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8627
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8667
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8697
+ {file = "yarl-1.13.1-py3-none-any.whl", hash = "sha256:6a5185ad722ab4dd52d5fb1f30dcc73282eb1ed494906a92d1a228d3f89607b0"},
8698
+ {file = "yarl-1.13.1.tar.gz", hash = "sha256:ec8cfe2295f3e5e44c51f57272afbd69414ae629ec7c6b27f5a410efc78b70a0"},
8699
  ]
8700
 
8701
  [package.dependencies]
 
8779
  [metadata]
8780
  lock-version = "2.0"
8781
  python-versions = ">=3.12,<3.13"
8782
+ content-hash = "c4a92e4121eae4f793268ddfe1e31bdff9c7f0724dbfba850dad58b72f19dabb"
pyproject.toml CHANGED
@@ -54,7 +54,7 @@ mistralai = "0.4.2"
54
  nltk = "3.9.1"
55
  numpy = "1.26.4"
56
  ollama = "0.2.1"
57
- onnxruntime = "1.17.3"
58
  openai = "1.12.0"
59
  opencv-python = "4.9.0.80"
60
  opencv-python-headless = "4.9.0.80"
@@ -111,6 +111,7 @@ python-docx = "^1.1.2"
111
  pypdf2 = "^3.0.1"
112
  graspologic = "^3.4.1"
113
  pymysql = "^1.1.1"
 
114
 
115
 
116
  [tool.poetry.group.full]
@@ -120,7 +121,6 @@ optional = true
120
  bcembedding = "0.1.3"
121
  fastembed = "^0.3.6"
122
  flagembedding = "1.2.10"
123
- mini-racer = "^0.12.4"
124
  torch = "2.3.0"
125
  transformers = "4.38.1"
126
 
 
54
  nltk = "3.9.1"
55
  numpy = "1.26.4"
56
  ollama = "0.2.1"
57
+ onnxruntime = "1.19.2"
58
  openai = "1.12.0"
59
  opencv-python = "4.9.0.80"
60
  opencv-python-headless = "4.9.0.80"
 
111
  pypdf2 = "^3.0.1"
112
  graspologic = "^3.4.1"
113
  pymysql = "^1.1.1"
114
+ mini-racer = "^0.12.4"
115
 
116
 
117
  [tool.poetry.group.full]
 
121
  bcembedding = "0.1.3"
122
  fastembed = "^0.3.6"
123
  flagembedding = "1.2.10"
 
124
  torch = "2.3.0"
125
  transformers = "4.38.1"
126