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facing error while installing fogify 14.90 ERROR: Could not build wheels for FogifySDK, which is required to install pyproject.toml-based projects #15

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sandeepkhandare2021 opened this issue Dec 10, 2023 · 0 comments

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snk@snk-Latitude-E6420:~/fogify-master$ sudo docker-compose -p fogemulator up
WARN[0001] The "RAM_OVERSUBSCRIPTION_PERCENTAGE" variable is not set. Defaulting to a blank string.
WARN[0001] The "SNIFFING_PERIOD" variable is not set. Defaulting to a blank string.
WARN[0001] The "CONNECTOR" variable is not set. Defaulting to a blank string.
WARN[0001] The "CPU_OVERSUBSCRIPTION_PERCENTAGE" variable is not set. Defaulting to a blank string.
WARN[0001] The "SNIFFING_ENABLED" variable is not set. Defaulting to a blank string.
WARN[0001] The "SNIFFING_PERIODICITY" variable is not set. Defaulting to a blank string.
WARN[0001] The "CONNECTOR" variable is not set. Defaulting to a blank string.
[+] Running 7/7
! ui Warning 3.2s
! controller Warning 3.2s
✔ cadvisor 3 layers [⣿⣿⣿] 0B/0B Pulled 30.6s
✔ 9d48c3bd43c5 Pull complete 2.2s
✔ f7d6cbe0ad90 Pull complete 21.3s
✔ 15f5311b080f Pull complete 11.4s
! agent Warning 3.3s
[+] Building 786.0s (26/36) docker:default
=> [controller internal] load build definition from dockerfile 2.1s
=> => transferring dockerfile: 1.60kB 0.1s
=> [controller internal] load .dockerignore 2.3s
=> => transferring context: 2B 0.0s
=> [ui internal] load build definition from dockerfile 2.4s
=> => transferring dockerfile: 322B 0.0s
=> [ui internal] load .dockerignore 1.7s
=> => transferring context: 2B 0.0s
=> [controller internal] load metadata for docker.io/library/python:3.9 5.8s
=> [ui internal] load metadata for docker.io/jupyter/scipy-notebook:latest 6.6s
=> [controller internal] load build context 1.2s
=> => transferring context: 129.81kB 0.4s
=> [controller 1/24] FROM docker.io/library/python:3.9@sha256:b2e47a7eca3178e4ce6c095d3a2d1cd05bfa616efe7f2047c95fffe159e00166 244.1s
=> => resolve docker.io/library/python:3.9@sha256:b2e47a7eca3178e4ce6c095d3a2d1cd05bfa616efe7f2047c95fffe159e00166 1.2s
=> => sha256:b2e47a7eca3178e4ce6c095d3a2d1cd05bfa616efe7f2047c95fffe159e00166 1.86kB / 1.86kB 0.0s
=> => sha256:1ab70c106669b2bc6d94518d59814c6de98e0477618435267d848dc5fb5f9dbb 2.01kB / 2.01kB 0.0s
=> => sha256:f40a52f78dc1431593ddf29709099426ce508e6198116ef58d2f8b374f8617a3 7.46kB / 7.46kB 0.0s
=> => sha256:27e1a8ca91d35598fbae8dee7f1c211f0f93cec529f6804a60e9301c53a604d0 24.05MB / 24.05MB 31.0s
=> => sha256:90e5e7d8b87a34877f61c2b86d053db1c4f440b9054cf49573e3be5d6a674a47 49.58MB / 49.58MB 34.7s
=> => sha256:d3a767d1d12e57724b9f254794e359f3b04d4d5ad966006e5b5cda78cc382762 64.13MB / 64.13MB 45.9s
=> => sha256:711be5dc50448ab08ccab0b44d65962f36574d341749ab30651b78ec0d4bfd1c 211.07MB / 211.07MB 199.0s
=> => extracting sha256:90e5e7d8b87a34877f61c2b86d053db1c4f440b9054cf49573e3be5d6a674a47 3.1s
=> => sha256:48b2d58a56e99520540b5ecafb202ae036a53b5a982845434722691ccba6499a 6.16MB / 6.16MB 42.2s
=> => extracting sha256:27e1a8ca91d35598fbae8dee7f1c211f0f93cec529f6804a60e9301c53a604d0 0.9s
=> => sha256:9205253a8842fbfd44c66278e90c4a3d453acd9ffb73320449abb0982f6aec1e 15.82MB / 15.82MB 58.3s
=> => sha256:a5992e8ed15e53f4ed12c455af1a16c727cd314d8d8c52e1cf0292caea689ca6 233B / 233B 46.8s
=> => extracting sha256:d3a767d1d12e57724b9f254794e359f3b04d4d5ad966006e5b5cda78cc382762 4.0s
=> => sha256:681e36302a03861b1f68644c4cafb1e3a2070203af357284b94cdb829530c7dd 2.85MB / 2.85MB 50.7s
=> => extracting sha256:711be5dc50448ab08ccab0b44d65962f36574d341749ab30651b78ec0d4bfd1c 17.8s
=> => extracting sha256:48b2d58a56e99520540b5ecafb202ae036a53b5a982845434722691ccba6499a 3.0s
=> => extracting sha256:9205253a8842fbfd44c66278e90c4a3d453acd9ffb73320449abb0982f6aec1e 2.2s
=> => extracting sha256:a5992e8ed15e53f4ed12c455af1a16c727cd314d8d8c52e1cf0292caea689ca6 0.0s
=> => extracting sha256:681e36302a03861b1f68644c4cafb1e3a2070203af357284b94cdb829530c7dd 1.6s
=> [ui 1/4] FROM docker.io/jupyter/scipy-notebook@sha256:fca4bcc9cbd49d9a15e0e4df6c666adf17776c950da9fa94a4f0a045d5c4ad33 741.9s
=> => resolve docker.io/jupyter/scipy-notebook@sha256:fca4bcc9cbd49d9a15e0e4df6c666adf17776c950da9fa94a4f0a045d5c4ad33 0.8s
=> => sha256:fca4bcc9cbd49d9a15e0e4df6c666adf17776c950da9fa94a4f0a045d5c4ad33 772B / 772B 0.0s
=> => sha256:bf4de44b0fa8a422ebc325e695d572d304bd290c055e028a6507921a294213bc 6.78kB / 6.78kB 0.0s
=> => sha256:ad65fcfebde3d9d6590bca3f709f1e386a4e56bd63654c0babd5ebf41e9edd9e 18.57kB / 18.57kB 0.0s
=> => sha256:aece8493d3972efa43bfd4ee3cdba659c0f787f8f59c82fb3e48c87cbb22a12e 29.54MB / 29.54MB 70.5s
=> => sha256:fd92c719666cac5862b8ea1e034eeb038c7191d52d0ff468c0a90ed68c0420a4 8.82MB / 8.82MB 66.8s
=> => sha256:088f11eb1e74ae07b0c0cfefb7906e1821c0b84f00524cc8e4011c276fe7d2d7 679B / 679B 68.0s
=> => sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 68.5s
=> => sha256:ef8373d600b0ac4a916da50b72cb116efc56800836a264d1dd8ea8e07e76256d 1.92kB / 1.92kB 69.4s
=> => sha256:77e45ee945dc8a1ce57be013482750833e7721903814e42510a3db2a05940aee 4.92kB / 4.92kB 70.6s
=> => extracting sha256:aece8493d3972efa43bfd4ee3cdba659c0f787f8f59c82fb3e48c87cbb22a12e 1.9s
=> => sha256:a30f89a0af6c7f64872ff93f4a9445b9d25f1206982670a911b2c83b672f443a 151B / 151B 71.1s
=> => sha256:dc42adc7eb7398a8589bad907643f9b08467de588b3c2719c78302d5ec480446 276B / 276B 72.1s
=> => sha256:abaa8376a6502612b92e1750cee7aa450ef045e23a418077439a392b0c224f2e 104.82MB / 104.82MB 152.5s
=> => sha256:aa099bb9e49a60e4a86d1015fa7be3ea1dc1dc87153a0c0767dac5c3df94babb 4.40kB / 4.40kB 74.0s
=> => extracting sha256:fd92c719666cac5862b8ea1e034eeb038c7191d52d0ff468c0a90ed68c0420a4 0.9s
=> => sha256:822c4cbcf6a6b7660f90516cd166125d55de917a2f18c086eee2abe52c1b7e9a 181B / 181B 75.5s
=> => sha256:d25166dcdc7b4776765e67e9b3548b023fb7bf2a9bd1d14746fa3d1d902279a0 30.50MB / 30.50MB 101.9s
=> => extracting sha256:088f11eb1e74ae07b0c0cfefb7906e1821c0b84f00524cc8e4011c276fe7d2d7 0.0s
=> => extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.0s
=> => extracting sha256:ef8373d600b0ac4a916da50b72cb116efc56800836a264d1dd8ea8e07e76256d 0.0s
=> => extracting sha256:77e45ee945dc8a1ce57be013482750833e7721903814e42510a3db2a05940aee 0.0s
=> => extracting sha256:a30f89a0af6c7f64872ff93f4a9445b9d25f1206982670a911b2c83b672f443a 0.0s
=> => extracting sha256:dc42adc7eb7398a8589bad907643f9b08467de588b3c2719c78302d5ec480446 0.0s
=> => sha256:964fc3e4ff9f3bb80c77f28ca6318e4e121dc657731158efb42f322dd7f521c3 137.74MB / 137.74MB 209.9s
=> => sha256:2c4c69587ee486a6d786449a71621bdcbc4ad1653c5f7f5848e0eb5a7deaa786 1.15kB / 1.15kB 153.8s
=> => extracting sha256:abaa8376a6502612b92e1750cee7aa450ef045e23a418077439a392b0c224f2e 7.6s
=> => sha256:de2cdd875fa8d3fe6e191d8b1c0dd0bfb677cba16a0fe1a67dd66bef00da6dac 1.42kB / 1.42kB 154.4s
=> => sha256:75d33599f5f251fdff33b1556b84d51b4bfef6781fe41672deea7a5fae31b57e 1.43kB / 1.43kB 155.4s
=> => sha256:31973ea8247081810aedfbad471cb29e8cad519f6e0cd488b6692b04e61ada5d 178.43MB / 178.43MB 331.1s
=> => extracting sha256:aa099bb9e49a60e4a86d1015fa7be3ea1dc1dc87153a0c0767dac5c3df94babb 0.0s
=> => extracting sha256:822c4cbcf6a6b7660f90516cd166125d55de917a2f18c086eee2abe52c1b7e9a 0.0s
=> => extracting sha256:d25166dcdc7b4776765e67e9b3548b023fb7bf2a9bd1d14746fa3d1d902279a0 2.3s
=> => sha256:96ee7e4439c77a57032d37c61ee62749216ebdd514e813e96123a92076ccc967 1.47kB / 1.47kB 199.8s
=> => sha256:1f9ad23c07ac8f228ec821f2095f22735c64308e16073c52722cd5d113f7f880 437B / 437B 200.4s
=> => sha256:d19266e0cb17753722408d50ece152f5c2cd764246d9ce4cbf6c20a82d4ccb4c 1.26kB / 1.26kB 202.1s
=> => sha256:9a165b6e9dc7f764933ed13711e8d3d2866e635d3c5740cfc3a1d303b0c1968d 279.53MB / 279.53MB 392.0s
=> => sha256:5689442fd4e1eb2168a70199d7321f5dde66f5dcecc207e57836a6baac48260d 236B / 236B 212.0s
=> => extracting sha256:964fc3e4ff9f3bb80c77f28ca6318e4e121dc657731158efb42f322dd7f521c3 32.9s
=> => sha256:9a6a202f62a6599a1ebad61a11e5d953f35736256aa11509a8f369883cdcd4e3 546.28MB / 546.28MB 648.0s
=> => extracting sha256:2c4c69587ee486a6d786449a71621bdcbc4ad1653c5f7f5848e0eb5a7deaa786 0.0s
=> => extracting sha256:de2cdd875fa8d3fe6e191d8b1c0dd0bfb677cba16a0fe1a67dd66bef00da6dac 0.0s
=> => extracting sha256:75d33599f5f251fdff33b1556b84d51b4bfef6781fe41672deea7a5fae31b57e 0.0s
=> => sha256:734ea0c3d94e1cb3af924749a5493983109f80abdadf70e919717767c04ed676 597.22kB / 597.22kB 336.0s
=> => extracting sha256:31973ea8247081810aedfbad471cb29e8cad519f6e0cd488b6692b04e61ada5d 19.2s
=> => sha256:a21a167f71274a2618b5ffb4187cbd6dafa5ac63d7179a54fc097e0e7b742f63 7.12kB / 7.12kB 337.8s
=> => extracting sha256:96ee7e4439c77a57032d37c61ee62749216ebdd514e813e96123a92076ccc967 0.0s
=> => extracting sha256:1f9ad23c07ac8f228ec821f2095f22735c64308e16073c52722cd5d113f7f880 0.0s
=> => extracting sha256:d19266e0cb17753722408d50ece152f5c2cd764246d9ce4cbf6c20a82d4ccb4c 0.0s
=> => extracting sha256:9a165b6e9dc7f764933ed13711e8d3d2866e635d3c5740cfc3a1d303b0c1968d 28.7s
=> => extracting sha256:5689442fd4e1eb2168a70199d7321f5dde66f5dcecc207e57836a6baac48260d 0.1s
=> => extracting sha256:9a6a202f62a6599a1ebad61a11e5d953f35736256aa11509a8f369883cdcd4e3 66.4s
=> => extracting sha256:734ea0c3d94e1cb3af924749a5493983109f80abdadf70e919717767c04ed676 0.3s
=> => extracting sha256:a21a167f71274a2618b5ffb4187cbd6dafa5ac63d7179a54fc097e0e7b742f63 0.0s
=> [ui internal] load build context 0.9s
=> => transferring context: 40.50kB 0.0s
=> [controller 2/24] RUN apt-get update -y 82.7s
=> [controller 3/24] RUN apt-get install -y git build-essential libncurses5-dev libslang2-dev gettext zlib1g-dev libselinux1-dev deb 95.7s
=> [controller 4/24] RUN apt-get install -y bison util-linux iproute2 26.0s
=> [controller 5/24] RUN /usr/local/bin/python -m pip install --upgrade pip 18.7s
=> [controller 6/24] RUN curl -L "https://github.com/docker/compose/releases/download/1.27.4/docker-compose-$(uname -s)-$(uname -m)" 11.4s
=> [controller 7/24] RUN chmod +x /usr/local/bin/docker-compose 3.1s
=> [controller 8/24] RUN DEBIAN_FRONTEND=noninteractive apt-get install -y tshark 105.0s
=> [controller 9/24] RUN mkdir /code 2.2s
=> [controller 10/24] WORKDIR /code 1.9s
=> [controller 11/24] ADD requirements.txt /code/ 1.0s
=> [controller 12/24] RUN pip3 install -r requirements.txt 152.3s
=> [ui 2/4] RUN mkdir /FofigySDK 8.6s
=> [controller 13/24] RUN apt-get update 13.7s
=> [ui 3/4] COPY . /FofigySDK 2.1s
=> ERROR [ui 4/4] RUN pip install /FofigySDK && fix-permissions /opt/conda && fix-permissions /home/jovyan 17.2s
=> CANCELED [controller 14/24] RUN apt-get install net-tools 18.5s

[ui 4/4] RUN pip install /FofigySDK && fix-permissions /opt/conda && fix-permissions /home/jovyan:
11.03 Processing /FofigySDK
11.05 Preparing metadata (setup.py): started
12.48 Preparing metadata (setup.py): finished with status 'done'
12.49 Requirement already satisfied: pandas in /opt/conda/lib/python3.11/site-packages (from FogifySDK==0.0.3) (2.1.1)
12.49 Requirement already satisfied: requests in /opt/conda/lib/python3.11/site-packages (from FogifySDK==0.0.3) (2.31.0)
12.49 Requirement already satisfied: pyyaml in /opt/conda/lib/python3.11/site-packages (from FogifySDK==0.0.3) (6.0.1)
12.49 Requirement already satisfied: matplotlib in /opt/conda/lib/python3.11/site-packages (from FogifySDK==0.0.3) (3.8.0)
12.51 Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (1.1.1)
12.51 Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (0.12.1)
12.52 Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (4.43.1)
12.52 Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (1.4.5)
12.53 Requirement already satisfied: numpy<2,>=1.21 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (1.24.4)
12.53 Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (23.2)
12.53 Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (10.1.0)
12.53 Requirement already satisfied: pyparsing>=2.3.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (3.1.1)
12.54 Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.11/site-packages (from matplotlib->FogifySDK==0.0.3) (2.8.2)
12.64 Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.11/site-packages (from pandas->FogifySDK==0.0.3) (2023.3.post1)
12.64 Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.11/site-packages (from pandas->FogifySDK==0.0.3) (2023.3)
12.66 Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.11/site-packages (from requests->FogifySDK==0.0.3) (3.3.0)
12.66 Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.11/site-packages (from requests->FogifySDK==0.0.3) (3.4)
12.66 Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.11/site-packages (from requests->FogifySDK==0.0.3) (2.0.7)
12.66 Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.11/site-packages (from requests->FogifySDK==0.0.3) (2023.7.22)
12.80 Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib->FogifySDK==0.0.3) (1.16.0)
12.83 Building wheels for collected packages: FogifySDK
12.83 Building wheel for FogifySDK (setup.py): started
14.53 Building wheel for FogifySDK (setup.py): finished with status 'error'
14.55 error: subprocess-exited-with-error
14.55
14.55 × python setup.py bdist_wheel did not run successfully.
14.55 │ exit code: 1
14.55 ╰─> [5 lines of output]
14.55 running bdist_wheel
14.55 running build
14.55 running build_py
14.55 creating build
14.55 error: could not create 'build': Permission denied
14.55 [end of output]
14.55
14.55 note: This error originates from a subprocess, and is likely not a problem with pip.
14.55 ERROR: Failed building wheel for FogifySDK
14.55 Running setup.py clean for FogifySDK
14.90 Failed to build FogifySDK
14.90 ERROR: Could not build wheels for FogifySDK, which is required to install pyproject.toml-based projects


failed to solve: process "/bin/bash -o pipefail -c pip install /FofigySDK && fix-permissions $CONDA_DIR && fix-permissions /home/$NB_USER" did not complete successfully: exit code: 1

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