colljos
commented
4 days ago Now got this working by tweaking the Python install command in the python-container sub-directory Dockerfile as follows:
RUN python3 -m venv tmp; export PATH=$PATH:tmp/bin/activate:/Users/colljos/Library/Python/3.9/lib/python/site-packages; python3 -m pip install sentence-transformers jupyter pytestOutput of running docker compose run download-model:
Joses-MacBook-Pro:hazelcast-image-search colljos$ docker compose run download-model
[+] Building 1657.2s (10/10) FINISHED docker:desktop-linux
=> [download-model internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 321B 0.0s
=> [download-model internal] load metadata for docker.io/library/python:3 1.7s
=> [download-model auth] library/python:pull token for registry-1.docker.io 0.0s
=> [download-model internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [download-model 1/4] FROM docker.io/library/python:3@sha256:bc78d3c007f86dbb87d711b8b082d9d564b8025487e780d24ccb8581d83ef8b0 172.8s
=> => resolve docker.io/library/python:3@sha256:bc78d3c007f86dbb87d711b8b082d9d564b8025487e780d24ccb8581d83ef8b0 0.0s
=> => sha256:b2b31b28ee3c96e96195c754f8679f690db4b18e475682d716122016ef056f39 49.58MB / 49.58MB 56.6s
=> => sha256:47db274575b70d4943bb3d408cdd590b8285b5811f10c2e7167ba7f0cada9f2c 2.32kB / 2.32kB 0.0s
=> => sha256:c41ea82733659810377a74cad7ee2a4d1d6f582395de8d12091be78c315cfee2 6.05kB / 6.05kB 0.0s
=> => sha256:2112e5e7c3ff699043b282f1ff24d3ef185c080c28846f1d7acc5ccf650bc13d 64.39MB / 64.39MB 92.8s
=> => sha256:bc78d3c007f86dbb87d711b8b082d9d564b8025487e780d24ccb8581d83ef8b0 9.72kB / 9.72kB 0.0s
=> => sha256:c3cc7b6f04730c072f8b292917e0d95bb886096a2b2b1781196170965161cd27 24.06MB / 24.06MB 27.0s
=> => sha256:af247aac076473044d24960a352a8ec6f154cf0a28f4fbf35fe5d43b52687ba2 211.29MB / 211.29MB 160.4s
=> => sha256:ef45f15f570bfc171a0a3444eb77562e1fdf865d7339942ce60eafbc8c84f198 6.16MB / 6.16MB 63.9s
=> => extracting sha256:b2b31b28ee3c96e96195c754f8679f690db4b18e475682d716122016ef056f39 3.4s
=> => extracting sha256:c3cc7b6f04730c072f8b292917e0d95bb886096a2b2b1781196170965161cd27 0.9s
=> => sha256:4d87d670c3ff8f79d31e0987e6da501ab7f7b5902398c8b3bfbd6c4566a54f26 27.19MB / 27.19MB 95.1s
=> => extracting sha256:2112e5e7c3ff699043b282f1ff24d3ef185c080c28846f1d7acc5ccf650bc13d 4.0s
=> => sha256:3ed3f00b0d2c8d764889e205f62819c43c3548445d2b31da54527d5b68248978 248B / 248B 93.3s
=> => extracting sha256:af247aac076473044d24960a352a8ec6f154cf0a28f4fbf35fe5d43b52687ba2 10.3s
=> => extracting sha256:ef45f15f570bfc171a0a3444eb77562e1fdf865d7339942ce60eafbc8c84f198 0.4s
=> => extracting sha256:4d87d670c3ff8f79d31e0987e6da501ab7f7b5902398c8b3bfbd6c4566a54f26 1.3s
=> => extracting sha256:3ed3f00b0d2c8d764889e205f62819c43c3548445d2b31da54527d5b68248978 0.0s
=> [download-model 2/4] RUN python3 -m venv tmp; export PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:tmp/bin/activate:/Users 1426.1s
=> [download-model 3/4] WORKDIR /root 0.1s
=> [download-model 4/4] RUN git clone https://github.com/hazelcast/hazelcast-python-client.git 3.9s
=> [download-model] exporting to image 52.3s
=> => exporting layers 52.3s
=> => writing image sha256:8c2615b4a4fcd43cebaf8e741cdca684a12d2a0cfbd8f919cebf6a7b5a80fbbc 0.0s
=> => naming to docker.io/library/hazelcast-image-search-download-model 0.0s
=> [download-model] resolving provenance for metadata file 0.0s
downloading model ...
modules.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 122/122 [00:00<00:00, 470kB/s]
config_sentence_transformers.json: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 116/116 [00:00<00:00, 466kB/s]
README.md: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.91k/1.91k [00:00<00:00, 12.7MB/s]
0_CLIPModel/config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.03k/4.03k [00:00<00:00, 14.0MB/s]
0_CLIPModel/preprocessor_config.json: 100%|███████████████████████████████████████████████████████████████████████████████████████████████| 316/316 [00:00<00:00, 2.10MB/s]
0_CLIPModel/special_tokens_map.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████| 389/389 [00:00<00:00, 4.00MB/s]
0_CLIPModel/tokenizer_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 604/604 [00:00<00:00, 5.63MB/s]
0_CLIPModel/merges.txt: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 525k/525k [00:00<00:00, 932kB/s]
0_CLIPModel/vocab.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 961k/961k [00:01<00:00, 783kB/s]
pytorch_model.bin: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 605M/605M [04:44<00:00, 2.13MB/s]
done. saving ...n: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 605M/605M [04:44<00:00, 2.40MB/s]
done
Joses-MacBook-Pro:hazelcast-image-search colljos$ pip --version
pip 24.2 from /Users/colljos/Library/Python/3.9/lib/python/site-packages/pip (python 3.9)
Joses-MacBook-Pro:hazelcast-image-search colljos$ cargo --version
cargo 1.82.0
naadhira
wrmay
Hi, I have some feedback about this page
Tutorial Setup step 2 continuously fails:
Error output:
Here is my environment: