Using conda-index with S3
I am hosting my own private conda channel on S3, but I don't understand how to avoid mirroring all the packages on my local hard drive. The source of the problem is the repodata.json
, channeldata.json
, etc. files.
If I build a single package and copy just the .tar.bz2
file to S3, conda-install
does not see it in the channel. In order for conda-build
to see the package, I have to copy the package and all of the repodata.json
, etc. metadata files created by conda-build
to S3.
My conundrum is: these JSON metadata files do not appear to be updated properly unless all of the packages I've ever built appear in my local package directory. I now have more than 4GB of conda packages on my local hard drive so that I get the correct metadata in these JSON files.
Is there a way to continue building conda packages with my local machine while avoiding mirroring my private S3 conda channel on my local hard drive? For what its worth, I realize that conda-index
will build the JSON files, but it doesn't seem to work when you attempt to index a location on S3.
python amazon-s3 conda
add a comment |
I am hosting my own private conda channel on S3, but I don't understand how to avoid mirroring all the packages on my local hard drive. The source of the problem is the repodata.json
, channeldata.json
, etc. files.
If I build a single package and copy just the .tar.bz2
file to S3, conda-install
does not see it in the channel. In order for conda-build
to see the package, I have to copy the package and all of the repodata.json
, etc. metadata files created by conda-build
to S3.
My conundrum is: these JSON metadata files do not appear to be updated properly unless all of the packages I've ever built appear in my local package directory. I now have more than 4GB of conda packages on my local hard drive so that I get the correct metadata in these JSON files.
Is there a way to continue building conda packages with my local machine while avoiding mirroring my private S3 conda channel on my local hard drive? For what its worth, I realize that conda-index
will build the JSON files, but it doesn't seem to work when you attempt to index a location on S3.
python amazon-s3 conda
FWIW, I asked a similar question on theconda-build
issue tracker: github.com/conda/conda-build/issues/3259
– joshua.r.smith
Nov 19 at 23:23
add a comment |
I am hosting my own private conda channel on S3, but I don't understand how to avoid mirroring all the packages on my local hard drive. The source of the problem is the repodata.json
, channeldata.json
, etc. files.
If I build a single package and copy just the .tar.bz2
file to S3, conda-install
does not see it in the channel. In order for conda-build
to see the package, I have to copy the package and all of the repodata.json
, etc. metadata files created by conda-build
to S3.
My conundrum is: these JSON metadata files do not appear to be updated properly unless all of the packages I've ever built appear in my local package directory. I now have more than 4GB of conda packages on my local hard drive so that I get the correct metadata in these JSON files.
Is there a way to continue building conda packages with my local machine while avoiding mirroring my private S3 conda channel on my local hard drive? For what its worth, I realize that conda-index
will build the JSON files, but it doesn't seem to work when you attempt to index a location on S3.
python amazon-s3 conda
I am hosting my own private conda channel on S3, but I don't understand how to avoid mirroring all the packages on my local hard drive. The source of the problem is the repodata.json
, channeldata.json
, etc. files.
If I build a single package and copy just the .tar.bz2
file to S3, conda-install
does not see it in the channel. In order for conda-build
to see the package, I have to copy the package and all of the repodata.json
, etc. metadata files created by conda-build
to S3.
My conundrum is: these JSON metadata files do not appear to be updated properly unless all of the packages I've ever built appear in my local package directory. I now have more than 4GB of conda packages on my local hard drive so that I get the correct metadata in these JSON files.
Is there a way to continue building conda packages with my local machine while avoiding mirroring my private S3 conda channel on my local hard drive? For what its worth, I realize that conda-index
will build the JSON files, but it doesn't seem to work when you attempt to index a location on S3.
python amazon-s3 conda
python amazon-s3 conda
asked Nov 12 at 20:17
joshua.r.smith
348313
348313
FWIW, I asked a similar question on theconda-build
issue tracker: github.com/conda/conda-build/issues/3259
– joshua.r.smith
Nov 19 at 23:23
add a comment |
FWIW, I asked a similar question on theconda-build
issue tracker: github.com/conda/conda-build/issues/3259
– joshua.r.smith
Nov 19 at 23:23
FWIW, I asked a similar question on the
conda-build
issue tracker: github.com/conda/conda-build/issues/3259– joshua.r.smith
Nov 19 at 23:23
FWIW, I asked a similar question on the
conda-build
issue tracker: github.com/conda/conda-build/issues/3259– joshua.r.smith
Nov 19 at 23:23
add a comment |
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FWIW, I asked a similar question on the
conda-build
issue tracker: github.com/conda/conda-build/issues/3259– joshua.r.smith
Nov 19 at 23:23