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docker build failure: gdal missing #84

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strixcuriosus opened this issue Sep 26, 2019 · 2 comments
Closed

docker build failure: gdal missing #84

strixcuriosus opened this issue Sep 26, 2019 · 2 comments

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@strixcuriosus
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strixcuriosus commented Sep 26, 2019

I'm seeing a new failure when trying to build the notebook image:

docker build --rm -t planet-notebooks .

Sending build context to Docker daemon   5.12kB
Step 1/12 : FROM jupyter/minimal-notebook:2c80cf3537ca
2c80cf3537ca: Pulling from jupyter/minimal-notebook
e0a742c2abfd: Pull complete
486cb8339a27: Pull complete
dc6f0d824617: Pull complete
4f7a5649a30e: Pull complete
672363445ad2: Pull complete
ecdd51c923e7: Pull complete
42885501cf6c: Pull complete
a91169574a99: Pull complete
4d0f6517ea26: Pull complete
95394e9265ac: Pull complete
8227c59e3779: Pull complete
074b7bf56d53: Pull complete
7acd5e85ad59: Pull complete
7f12c3d0ff9e: Pull complete
c6c3afa6f981: Pull complete
84c4870ea598: Pull complete
9f71a0e80d07: Pull complete
501394cd98d6: Pull complete
206ef30745dc: Pull complete
Digest: sha256:5fa4d62f2cf2ea7e17790ab9d5628d75fda4151b18d5dc47545cb34b0b07c2a2
Status: Downloaded newer image for jupyter/minimal-notebook:2c80cf3537ca
 ---> db464e6587fb
Step 2/12 : RUN conda install -y -c conda-forge gdal=2.4.0
 ---> Running in 28b4d36e8130
Fetching package metadata .............

PackageNotFoundError: Packages missing in current channels:

  - gdal 2.4.0*

We have searched for the packages in the following channels:

  - https://conda.anaconda.org/conda-forge/linux-64
  - https://conda.anaconda.org/conda-forge/noarch
  - https://repo.continuum.io/pkgs/main/linux-64
  - https://repo.continuum.io/pkgs/main/noarch
  - https://repo.continuum.io/pkgs/free/linux-64
  - https://repo.continuum.io/pkgs/free/noarch
  - https://repo.continuum.io/pkgs/r/linux-64
  - https://repo.continuum.io/pkgs/r/noarch
  - https://repo.continuum.io/pkgs/pro/linux-64
  - https://repo.continuum.io/pkgs/pro/noarch

I've tried the suggestion of removing the base jupyter/minimal-notebook image mentioned in #73 to no avail.

@strixcuriosus
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this looks relevant conda-forge/gdal-feedstock#309

@strixcuriosus
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this was actually fixed here #82

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