arc53 / DocsGPT

Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
https://app.docsgpt.cloud/
MIT License
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在wsl2中,执行./run-with-docker-compose.sh到第10步时,总是报错!!! #900

Open stuffren opened 8 months ago

stuffren commented 8 months ago

📜 Description

[zh:] 在执行到第10步时,这一步已经成功下载了很多依赖项,但最终还是有报错,这真的令人沮丧!!! 为了成功安装这一步,尝试了很多次,我花了12个小时左右的时间,我甚至通过V-P-N连接国际互联网,网速高达50M/s,但还是有报错,这是为什么? 下面是在执行 ./run-with-docker-compose.sh命令后,对应项成功构建的提示,以及对应项报错的提示:

[en:] On executing to step 10, this step has successfully downloaded many dependencies, but still ends up reporting errors, which is really frustrating!!!! It took many attempts to successfully install this step, I spent about 12 hours on it, I even connected to the international internet via V-P-N with an internet speed of up to 50M/s, but there are still errors reported, why is that? Here's what happens when executing . /run-with-docker-compose.sh command, the prompt that corresponds to the successful build of the item, and the prompt that corresponds to the error reported:

renhao@XTZJ-20231226DP:/var/www/docsGPT$ ./run-with-docker-compose.sh Running Plain Configuration [+] Building 1972.4s (17/27) docker:default => [worker internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 997B 0.0s => [backend internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 997B 0.0s => [worker internal] load metadata for docker.io/library/python:3.11-slim-bullseye 4.9s => [worker internal] load .dockerignore 0.1s => => transferring context: 2B 0.0s => [backend internal] load .dockerignore 0.1s => => transferring context: 2B 0.0s => CACHED [worker stage-1 1/5] FROM docker.io/library/python:3.11-slim-bullseye@sha256:6988e45203d29 0.0s => [backend internal] load build context 0.0s => => transferring context: 3.17kB 0.0s => [worker internal] load build context 0.1s => => transferring context: 3.17kB 0.0s => CACHED [backend builder 2/10] RUN apt-get update && apt-get install -y gcc curl 0.0s => CACHED [backend builder 3/10] RUN apt-get install -y wget unzip 0.0s => CACHED [backend builder 4/10] RUN wget https://d3dg1063dc54p9.cloudfront.net/models/embeddings/m 0.0s => CACHED [backend builder 5/10] RUN unzip mpnet-base-v2.zip -d model 0.0s => CACHED [backend builder 6/10] RUN rm mpnet-base-v2.zip 0.0s => CACHED [backend builder 7/10] RUN curl https://sh.rustup.rs -sSf | sh -s -- -y && apt-get instal 0.0s => CACHED [backend builder 8/10] RUN pip install --upgrade pip && pip install tiktoken==0.5.2 0.0s => CACHED [backend builder 9/10] COPY requirements.txt . 0.0s => ERROR [backend builder 10/10] RUN pip install -r requirements.txt 1967.1s

[backend builder 10/10] RUN pip install -r requirements.txt: 14.65 Collecting anthropic==0.12.0 (from -r requirements.txt (line 1)) 17.20 Downloading anthropic-0.12.0-py3-none-any.whl.metadata (15 kB) 20.37 Collecting boto3==1.34.6 (from -r requirements.txt (line 2)) 20.78 Downloading boto3-1.34.6-py3-none-any.whl.metadata (6.6 kB) 21.57 Collecting celery==5.3.6 (from -r requirements.txt (line 3)) 21.96 Downloading celery-5.3.6-py3-none-any.whl.metadata (21 kB) 22.82 Collecting dataclasses_json==0.6.3 (from -r requirements.txt (line 4)) 23.21 Downloading dataclasses_json-0.6.3-py3-none-any.whl.metadata (25 kB) 24.00 Collecting docx2txt==0.8 (from -r requirements.txt (line 5)) 24.35 Downloading docx2txt-0.8.tar.gz (2.8 kB) 24.39 Preparing metadata (setup.py): started 25.23 Preparing metadata (setup.py): finished with status 'done' 26.17 Collecting EbookLib==0.18 (from -r requirements.txt (line 6)) 26.69 Downloading EbookLib-0.18.tar.gz (115 kB) 27.38 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-r requirements.txt (line 11)) 35.80 Downloading flask-3.0.1-py3-none-any.whl.metadata (3.6 kB) 36.51 Collecting gunicorn==21.2.0 (from -r requirements.txt (line 12)) 37.35 Downloading gunicorn-21.2.0-py3-none-any.whl.metadata (4.1 kB) 38.09 Collecting html2text==2020.1.16 (from -r requirements.txt (line 13)) 38.47 Downloading html2text-2020.1.16-py3-none-any.whl.metadata (4.3 kB) 39.17 Collecting javalang==0.13.0 (from -r requirements.txt (line 14)) 39.61 Downloading javalang-0.13.0-py3-none-any.whl.metadata (805 bytes) 40.79 Collecting langchain==0.1.4 (from -r requirements.txt (line 15)) 41.21 Downloading langchain-0.1.4-py3-none-any.whl.metadata (13 kB) 41.91 Collecting langchain-openai==0.0.5 (from -r requirements.txt (line 16)) 42.28 Downloading langchain_openai-0.0.5-py3-none-any.whl.metadata (2.5 kB) 42.89 Collecting nltk==3.8.1 (from -r requirements.txt (line 17)) 43.39 Downloading nltk-3.8.1-py3-none-any.whl.metadata (2.8 kB) 44.02 Collecting openapi3_parser==1.1.16 (from -r requirements.txt (line 18)) 44.39 Downloading openapi3_parser-1.1.16-py3-none-any.whl.metadata (804 bytes) 46.36 Collecting pandas==2.2.0 (from -r requirements.txt (line 19)) 46.79 Downloading pandas-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 47.62 Collecting pydantic_settings==2.1.0 (from -r requirements.txt (line 20)) 48.12 Downloading pydantic_settings-2.1.0-py3-none-any.whl.metadata (2.9 kB) 50.00 Collecting pymongo==4.6.1 (from -r requirements.txt (line 21)) 50.41 Downloading pymongo-4.6.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB) 51.58 Collecting PyPDF2==3.0.1 (from -r requirements.txt (line 22)) 51.98 Downloading pypdf2-3.0.1-py3-none-any.whl.metadata (6.8 kB) 52.58 Collecting python-dotenv==1.0.1 (from -r requirements.txt (line 23)) 52.99 Downloading python_dotenv-1.0.1-py3-none-any.whl.metadata (23 kB) 54.19 Collecting qdrant-client==1.7.3 (from -r requirements.txt (line 24)) 55.56 Downloading qdrant_client-1.7.3-py3-none-any.whl.metadata (9.3 kB) 57.03 Collecting redis==5.0.1 (from -r requirements.txt (line 25)) 57.45 Downloading redis-5.0.1-py3-none-any.whl.metadata (8.9 kB) 57.50 Requirement already satisfied: Requests==2.31.0 in /usr/local/lib/python3.11/site-packages (from -r requirements.txt (line 26)) (2.31.0) 58.00 Collecting retry==0.9.2 (from -r requirements.txt (line 27)) 59.07 Downloading retry-0.9.2-py2.py3-none-any.whl.metadata (5.8 kB) 60.09 Collecting sentence-transformers (from -r requirements.txt (line 28)) 60.47 Downloading sentence_transformers-2.6.1-py3-none-any.whl.metadata (11 kB) 60.51 Requirement already satisfied: tiktoken==0.5.2 in /usr/local/lib/python3.11/site-packages (from -r requirements.txt (line 29)) (0.5.2) 61.58 Collecting torch==2.1.2 (from -r requirements.txt (line 30)) 61.99 Downloading torch-2.1.2-cp311-cp311-manylinux1_x86_64.whl.metadata (25 kB) 63.27 Collecting tqdm==4.66.1 (from -r requirements.txt (line 31)) 64.19 Downloading tqdm-4.66.1-py3-none-any.whl.metadata (57 kB) 64.49 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.6/57.6 kB 167.3 kB/s eta 0:00:00 65.29 Collecting transformers==4.36.2 (from -r requirements.txt (line 32)) 65.80 Downloading transformers-4.36.2-py3-none-any.whl.metadata (126 kB) 66.45 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 126.8/126.8 kB 203.3 kB/s eta 0:00:00 67.68 Collecting unstructured==0.12.2 (from -r requirements.txt (line 33)) 68.07 Downloading unstructured-0.12.2-py3-none-any.whl.metadata (26 kB) 69.32 Collecting Werkzeug==3.0.1 (from -r requirements.txt (line 34)) 69.74 Downloading werkzeug-3.0.1-py3-none-any.whl.metadata (4.1 kB) 70.42 Collecting anyio<5,>=3.5.0 (from anthropic==0.12.0->-r requirements.txt (line 1)) 70.83 Downloading anyio-4.3.0-py3-none-any.whl.metadata (4.6 kB) 71.37 Collecting distro<2,>=1.7.0 (from anthropic==0.12.0->-r requirements.txt (line 1)) 71.87 Downloading distro-1.9.0-py3-none-any.whl.metadata (6.8 kB) 72.56 Collecting httpx<1,>=0.23.0 (from anthropic==0.12.0->-r requirements.txt (line 1)) 73.80 Downloading httpx-0.27.0-py3-none-any.whl.metadata (7.2 kB) 76.73 Collecting pydantic<3,>=1.9.0 (from anthropic==0.12.0->-r requirements.txt (line 1)) 77.32 Downloading pydantic-2.6.4-py3-none-any.whl.metadata (85 kB) 78.09 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 85.1/85.1 kB 166.2 kB/s eta 0:00:00 78.58 Collecting sniffio (from anthropic==0.12.0->-r requirements.txt (line 1)) 79.24 Downloading sniffio-1.3.1-py3-none-any.whl.metadata (3.9 kB) 84.46 Collecting tokenizers>=0.13.0 (from anthropic==0.12.0->-r requirements.txt (line 1)) 84.99 Downloading tokenizers-0.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB) 86.24 Collecting typing-extensions<5,>=4.7 (from anthropic==0.12.0->-r requirements.txt (line 1)) 86.70 Downloading typing_extensions-4.10.0-py3-none-any.whl.metadata (3.0 kB) 95.32 Collecting botocore<1.35.0,>=1.34.6 (from boto3==1.34.6->-r requirements.txt (line 2)) 95.88 Downloading botocore-1.34.77-py3-none-any.whl.metadata (5.7 kB) 96.68 Collecting jmespath<2.0.0,>=0.7.1 (from boto3==1.34.6->-r requirements.txt (line 2)) 97.16 Downloading jmespath-1.0.1-py3-none-any.whl.metadata (7.6 kB) 98.02 Collecting s3transfer<0.11.0,>=0.10.0 (from boto3==1.34.6->-r requirements.txt (line 2)) 98.40 Downloading s3transfer-0.10.1-py3-none-any.whl.metadata (1.7 kB) 99.45 Collecting billiard<5.0,>=4.2.0 (from celery==5.3.6->-r requirements.txt (line 3)) 99.84 Downloading billiard-4.2.0-py3-none-any.whl.metadata (4.4 kB) 100.4 Collecting click-didyoumean>=0.3.0 (from celery==5.3.6->-r requirements.txt (line 3)) 100.8 Downloading click_didyoumean-0.3.1-py3-none-any.whl.metadata (3.9 kB) 101.2 Collecting click-plugins>=1.1.1 (from celery==5.3.6->-r requirements.txt (line 3)) 116.3 WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)")': /packages/e9/da/824b92d9942f4e472702488857914bdd50f73021efea15b4cad9aca8ecef/click_plugins-1.1.1-py2.py3-none-any.whl.metadata 118.3 Downloading click_plugins-1.1.1-py2.py3-none-any.whl.metadata (6.4 kB) 120.2 Collecting click-repl>=0.2.0 (from celery==5.3.6->-r requirements.txt (line 3)) 120.6 Downloading click_repl-0.3.0-py3-none-any.whl.metadata (3.6 kB) 121.2 Collecting click<9.0,>=8.1.2 (from celery==5.3.6->-r requirements.txt (line 3)) 121.6 Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB) 122.8 Collecting kombu<6.0,>=5.3.4 (from celery==5.3.6->-r requirements.txt (line 3)) 123.4 Downloading kombu-5.3.6-py3-none-any.whl.metadata (3.1 kB) 124.1 Collecting python-dateutil>=2.8.2 (from celery==5.3.6->-r requirements.txt (line 3)) 124.5 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB) 125.4 Collecting tzdata>=2022.7 (from celery==5.3.6->-r requirements.txt (line 3)) 125.8 Downloading tzdata-2024.1-py2.py3-none-any.whl.metadata (1.4 kB) 126.6 Collecting vine<6.0,>=5.1.0 (from celery==5.3.6->-r requirements.txt (line 3)) 127.0 Downloading vine-5.1.0-py3-none-any.whl.metadata (2.7 kB) 128.4 Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses_json==0.6.3->-r requirements.txt (line 4)) 128.8 Downloading marshmallow-3.21.1-py3-none-any.whl.metadata (7.2 kB) 129.4 Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.3->-r requirements.txt (line 4)) 130.1 Downloading typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB) 134.1 Collecting lxml (from EbookLib==0.18->-r requirements.txt (line 6)) 134.6 Downloading lxml-5.2.1-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (3.4 kB) 135.1 Collecting six (from EbookLib==0.18->-r requirements.txt (line 6)) 135.6 Downloading six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB) 136.5 Collecting elastic-transport<9,>=8 (from elasticsearch==8.12.0->-r requirements.txt (line 7)) 137.3 Downloading elastic_transport-8.13.0-py3-none-any.whl.metadata (3.7 kB) 137.8 Collecting esutils (from escodegen==1.0.11->-r requirements.txt (line 8)) 138.6 Downloading esutils-1.0.1-py3-none-any.whl.metadata (938 bytes) 139.3 Collecting Jinja2>=3.1.2 (from Flask==3.0.1->-r requirements.txt (line 11)) 139.7 Downloading Jinja2-3.1.3-py3-none-any.whl.metadata (3.3 kB) 140.4 Collecting itsdangerous>=2.1.2 (from Flask==3.0.1->-r requirements.txt (line 11)) 141.0 Downloading itsdangerous-2.1.2-py3-none-any.whl.metadata (2.9 kB) 141.5 Collecting blinker>=1.6.2 (from Flask==3.0.1->-r requirements.txt (line 11)) 142.0 Downloading blinker-1.7.0-py3-none-any.whl.metadata (1.9 kB) 143.0 Collecting packaging (from gunicorn==21.2.0->-r requirements.txt (line 12)) 143.6 Downloading packaging-24.0-py3-none-any.whl.metadata (3.2 kB) 144.7 Collecting PyYAML>=5.3 (from langchain==0.1.4->-r requirements.txt (line 15)) 145.2 Downloading PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB) 150.6 Collecting SQLAlchemy<3,>=1.4 (from langchain==0.1.4->-r requirements.txt (line 15)) 151.3 Downloading SQLAlchemy-2.0.29-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.6 kB) 154.5 Collecting aiohttp<4.0.0,>=3.8.3 (from langchain==0.1.4->-r requirements.txt (line 15)) 155.0 Downloading aiohttp-3.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB) 155.8 Collecting jsonpatch<2.0,>=1.33 (from langchain==0.1.4->-r requirements.txt (line 15)) 156.4 Downloading jsonpatch-1.33-py2.py3-none-any.whl.metadata (3.0 kB) 156.9 Collecting langchain-community<0.1,>=0.0.14 (from langchain==0.1.4->-r requirements.txt (line 15)) 157.7 Downloading langchain_community-0.0.31-py3-none-any.whl.metadata (8.4 kB) 158.3 Collecting langchain-core<0.2,>=0.1.16 (from langchain==0.1.4->-r requirements.txt (line 15)) 158.7 Downloading langchain_core-0.1.40-py3-none-any.whl.metadata (5.9 kB) 159.4 Collecting langsmith<0.1,>=0.0.83 (from langchain==0.1.4->-r requirements.txt (line 15)) 159.9 Downloading langsmith-0.0.92-py3-none-any.whl.metadata (9.9 kB) 163.8 Collecting numpy<2,>=1 (from langchain==0.1.4->-r requirements.txt (line 15)) 164.7 Downloading numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB) 164.9 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.0/61.0 kB 277.8 kB/s eta 0:00:00 165.4 Collecting tenacity<9.0.0,>=8.1.0 (from langchain==0.1.4->-r requirements.txt (line 15)) 166.3 Downloading tenacity-8.2.3-py3-none-any.whl.metadata (1.0 kB) 167.0 Collecting openai<2.0.0,>=1.10.0 (from langchain-openai==0.0.5->-r requirements.txt (line 16)) 167.6 Downloading openai-1.16.1-py3-none-any.whl.metadata (21 kB) 168.3 Collecting joblib (from nltk==3.8.1->-r requirements.txt (line 17)) 168.7 Downloading joblib-1.3.2-py3-none-any.whl.metadata (5.4 kB) 169.5 Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.11/site-packages (from nltk==3.8.1->-r requirements.txt (line 17)) (2023.12.25) 170.2 Collecting prance>=0.20.2 (from openapi3_parser==1.1.16->-r requirements.txt (line 18)) 170.8 Downloading prance-23.6.21.0-py3-none-any.whl.metadata (13 kB) 171.3 Collecting openapi-spec-validator==0.6.0 (from openapi3_parser==1.1.16->-r requirements.txt (line 18)) 172.1 Downloading openapi_spec_validator-0.6.0-py3-none-any.whl.metadata (5.3 kB) 173.6 Collecting pytz>=2020.1 (from pandas==2.2.0->-r requirements.txt (line 19)) 174.0 Downloading pytz-2024.1-py2.py3-none-any.whl.metadata (22 kB) 174.7 Collecting dnspython<3.0.0,>=1.16.0 (from pymongo==4.6.1->-r requirements.txt (line 21)) 175.2 Downloading dnspython-2.6.1-py3-none-any.whl.metadata (5.8 kB) 182.7 Collecting grpcio>=1.41.0 (from qdrant-client==1.7.3->-r requirements.txt (line 24)) 183.2 Downloading grpcio-1.62.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB) 197.5 Collecting grpcio-tools>=1.41.0 (from qdrant-client==1.7.3->-r requirements.txt (line 24)) 198.0 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requirements.txt (line 27)) 200.3 Downloading decorator-5.1.1-py3-none-any.whl.metadata (4.0 kB) 200.9 Collecting py<2.0.0,>=1.4.26 (from retry==0.9.2->-r requirements.txt (line 27)) 201.5 Downloading py-1.11.0-py2.py3-none-any.whl.metadata (2.8 kB) 202.2 Collecting filelock (from torch==2.1.2->-r requirements.txt (line 30)) 202.5 Downloading filelock-3.13.3-py3-none-any.whl.metadata (2.8 kB) 203.2 Collecting sympy (from torch==2.1.2->-r requirements.txt (line 30)) 203.5 Downloading sympy-1.12-py3-none-any.whl.metadata (12 kB) 204.4 Collecting networkx (from torch==2.1.2->-r requirements.txt (line 30)) 205.2 Downloading networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB) 206.2 Collecting fsspec (from torch==2.1.2->-r requirements.txt (line 30)) 206.6 Downloading fsspec-2024.3.1-py3-none-any.whl.metadata (6.8 kB) 207.3 Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.1.2->-r requirements.txt (line 30)) 207.6 Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB) 208.6 Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.1.2->-r requirements.txt (line 30)) 209.2 Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB) 209.6 Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.1.2->-r requirements.txt (line 30)) 210.1 Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB) 210.8 Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.1.2->-r requirements.txt (line 30)) 211.2 Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB) 212.0 Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.1.2->-r requirements.txt (line 30)) 212.4 Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB) 212.9 Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.1.2->-r requirements.txt (line 30)) 213.3 Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB) 214.3 Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.1.2->-r requirements.txt (line 30)) 215.0 Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB) 215.9 Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.1.2->-r requirements.txt (line 30)) 216.5 Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB) 217.0 Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.1.2->-r requirements.txt (line 30)) 217.5 Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB) 218.0 Collecting nvidia-nccl-cu12==2.18.1 (from torch==2.1.2->-r requirements.txt (line 30)) 218.4 Downloading nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB) 218.9 Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.1.2->-r requirements.txt (line 30)) 219.4 Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB) 220.2 Collecting triton==2.1.0 (from torch==2.1.2->-r requirements.txt (line 30)) 220.7 Downloading triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.3 kB) 222.2 Collecting huggingface-hub<1.0,>=0.19.3 (from transformers==4.36.2->-r requirements.txt (line 32)) 223.2 Downloading huggingface_hub-0.22.2-py3-none-any.whl.metadata (12 kB) 224.8 Collecting safetensors>=0.3.1 (from transformers==4.36.2->-r requirements.txt (line 32)) 227.1 Downloading safetensors-0.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB) 229.7 Collecting chardet (from unstructured==0.12.2->-r requirements.txt (line 33)) 230.3 Downloading chardet-5.2.0-py3-none-any.whl.metadata (3.4 kB) 231.2 Collecting filetype (from unstructured==0.12.2->-r requirements.txt (line 33)) 232.0 Downloading filetype-1.2.0-py2.py3-none-any.whl.metadata (6.5 kB) 233.3 Collecting python-magic (from 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metadata (setup.py): started 245.2 Preparing metadata (setup.py): finished with status 'done' 261.2 Collecting rapidfuzz (from unstructured==0.12.2->-r requirements.txt (line 33)) 261.6 Downloading rapidfuzz-3.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB) 262.1 Collecting backoff (from unstructured==0.12.2->-r requirements.txt (line 33)) 262.6 Downloading backoff-2.2.1-py3-none-any.whl.metadata (14 kB) 263.4 Collecting unstructured-client>=0.15.1 (from unstructured==0.12.2->-r requirements.txt (line 33)) 263.8 Downloading unstructured_client-0.22.0-py3-none-any.whl.metadata (7.3 kB) 265.3 Collecting wrapt (from unstructured==0.12.2->-r requirements.txt (line 33)) 265.7 Downloading wrapt-1.16.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB) 266.6 Collecting MarkupSafe>=2.1.1 (from Werkzeug==3.0.1->-r requirements.txt (line 34)) 267.1 Downloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB) 267.6 Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.1.2->-r requirements.txt (line 30)) 268.4 Downloading nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 269.1 Collecting jsonschema<5.0.0,>=4.18.0 (from openapi-spec-validator==0.6.0->openapi3_parser==1.1.16->-r requirements.txt (line 18)) 269.5 Downloading jsonschema-4.21.1-py3-none-any.whl.metadata (7.8 kB) 271.1 Collecting jsonschema-spec<0.3.0,>=0.2.3 (from openapi-spec-validator==0.6.0->openapi3_parser==1.1.16->-r requirements.txt (line 18)) 271.5 Downloading jsonschema_spec-0.2.4-py3-none-any.whl.metadata (4.3 kB) 272.6 Collecting lazy-object-proxy<2.0.0,>=1.7.1 (from openapi-spec-validator==0.6.0->openapi3_parser==1.1.16->-r requirements.txt (line 18)) 273.5 Downloading 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If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them. 1965.0 unknown package: 1965.0 Expected sha256 afdd9fe1141117fed85961fd36ee627c83fc3b9fd47bafb52d3c849cc2f088b7 1965.0 Got 0317fe32839f259b80ac86fb57f470db7b3fe3320e1854e187ac59c218f2c91b 1965.0

failed to solve: process "/bin/sh -c pip install -r requirements.txt" did not complete successfully: exit code: 1

My system environment:

---wsl2 ---. WSL version: 2.1.5.0 Kernel version: 5.15.146.1-2 WSLg version: 1.0.60 MSRDC Version: 1.2.5105 Direct3D version: 1.611.1-81528511 DXCore version: 10.0.25131.1002-220531-1700.rs-onecore-base2-hyp Windows version: 10.0.19044.3803

----python verson---- Python 3.10.12 -----docker version----- Docker version 25.0.3, build 4debf41

DocsGPT is too complicated to install! Not as good as ollama! Why don't you guys make its installation steps as easy as using ollama?

👟 Reproduction steps

[en:] 1.Download the DocsGPT project file. Since it is already downloaded in Win10, copy it from Win10 to the project directory of wsl2 and execute the following command wslpath 'J:\Common packages\AI software\docsGPT\DocsGPT-0.8.0.zip' //Convert Windows path: Use the wslpath command to convert the Windows path to a Linux path that WSL 2 can understand. cp $(wslpath 'J:\Common Packages\AI Software\docsGPT\DocsGPT-0.8.0.zip') /var/www/ //copy files: Now you can use the cp command to copy files from the Windows filesystem to the Linux filesystem of WSL 2.

  1. Unzip to the current directory sudo unzip DocsGPT-0.8.0.zip

  2. Delete the zip file sudo rm -rf DocsGPT-0.8.0.zip

  3. Modify the name of the project file sudo mv DocsGPT-0.8.0 docsGPT

  4. Enter docsGPT cd docsGPT

  5. Enter the super administrator account and set the api key. sudo -i //enter super administrator account sudo echo "API_KEY=my-openai-key" > .env echo "VITE_API_STREAMING=true" >> .env

//Exit root exit

  1. Check if the .env file is set up successfully ls -a To view all files and directories, including hidden files, you can use the ls -a command. The -a option lists all files and directories, including hidden files that begin with a dot.

  2. Run the following command to start the installer with Docker Compose: . /run-with-docker-compose.sh This step, originally, also reported an error when installing the PIP, but I added a third-party docker image source that includes multiple Chinese and foreign sources, which solved the problem But the multiple errors reported in this 10th step, which I tried about 10 times or so, has made me lose confidence. Because I know in this case, it shouldn't be a user problem, but a problem caused by the software designers making the installation steps so complicated!

    => ERROR [backend builder 10/10] RUN pip install -r requirements.txt 1967.1s This is the step, strangely enough, it successfully installs all the dependencies contained in requirements.txt, but in addition to that it automatically installs a lot of other dependencies, including nvidia and such, and I can't figure out why this is so, it's just an error when installing these additional dependencies!

[cn:] 1.下载DocsGPT项目文件 由于已经在win10下载了,从win10复制到wsl2的项目目录中,执行以下命令 wslpath 'J:\常用软件包\AI软件\docsGPT\DocsGPT-0.8.0.zip' //转换Windows路径:使用wslpath命令将Windows路径转换为WSL 2可以理解的Linux路径。 cp $(wslpath 'J:\常用软件包\AI软件\docsGPT\DocsGPT-0.8.0.zip') /var/www/ //复制文件:现在你可以使用cp命令将文件从Windows文件系统复制到WSL 2的Linux文件系统中。

2.解压缩到当前目录 sudo unzip DocsGPT-0.8.0.zip

3.删除压缩包文件 sudo rm -rf DocsGPT-0.8.0.zip

  1. 修改项目文件名称 sudo mv DocsGPT-0.8.0 docsGPT

  2. 进入docsGPT cd docsGPT

  3. 进入超级管理员账户,设置api key sudo -i //进入超级管理员账户 sudo echo "API_KEY=my-openai-key" > .env echo "VITE_API_STREAMING=true" >> .env

//退出root exit

  1. 检查.env文件是否设置成功 ls -a 要查看包括隐藏文件在内的所有文件和目录,你可以使用 ls -a 命令。-a 选项会列出所有文件和目录,包括以点开头的隐藏文件。

8.运行以下命令以使用 Docker Compose 启动安装程序: ./run-with-docker-compose.sh 这一步,本来在安装PIP时,也报错,但我添加了包含多个中国和国外的第三方docker镜像源,解决了 但这第10步的多次报错,我尝试了大概10次左右,已经让我失去了信心。 因为我知道这种情况,应该不是用户的问题,而是软件设计者把安装步骤搞的如此复杂而造成的问题!!

=> ERROR [backend builder 10/10] RUN pip install -r requirements.txt 1967.1s 就是这一步,很奇怪的是,它成功安装了requirements.txt所包含的全部依赖项,但除此之外它还额外在自动安装很多包括nvidia之类的其他依赖项,我搞不懂这是为什么,就是在安装这些额外的依赖项时,报出的错误!!

👍 Expected behavior

Seriously, I was pleasantly surprised when I first found DocsGPT, but it disappointed during the installation process! Hopefully it will be as quick to install as ollama! ollamag officially offers a lot of big models like gemini, ollama 2, most of them 2Gigabyte-8Gigabyte in size, but the download of these models is quite fast, it's done in about 10 minutes!!!!

👎 Actual Behavior with Screenshots

下面是屏幕截图: 图片3 The middle part, all downloaded successfully, so it was omitted! 图片4

💻 Operating system

Windows

What browsers are you seeing the problem on?

Chrome

🤖 What development environment are you experiencing this bug on?

Docker

🔒 Did you set the correct environment variables in the right path? List the environment variable names (not values please!)

My .evn file is in the project root directory and is set as follows: API_KEY=my-openai-key VITE_API_STREAMING=true LLM_NAME=openai

📃 Provide any additional context for the Bug.

no

📖 Relevant log output

Log message not found

👀 Have you spent some time to check if this bug has been raised before?

🔗 Are you willing to submit PR?

None

🧑‍⚖️ Code of Conduct

fengsim commented 5 months ago

you should use linux, try ubuntu, it is very easy