Package Installation Failing May 2020 - DataFrames ,CSV

eyedia
Tue, 12 May 2020 15:14:55 +0000
Package Announcements

Today (5/12/2020, 5th May 2020 getting this on Julia TLS (1.0.5) version. It’s our production environment. Help please!!

Code:
using Pkg
Pkg.add(Pkg.PackageSpec(;name=“LearnBase”, version=“0.3”))
specific version was set for another issue: Package Installation Failing April 2020 - JuliaDB, OnlineStats
Pkg.add(“CSV”)
Pkg.add(“DataFrames”)
Pkg.add(“HTTP”)
Pkg.add(“JSON”)
Pkg.add(“JuliaDB”)
Pkg.add(“MbedTLS”)
using CSV
using JuliaDB
using HTTP
using JSON
using Dates
@info VERSION
@info Pkg.installed()

Errors:

ERROR: LoadError: Unsatisfiable requirements detected for package DataFrames [a93c6f00]:
DataFrames [a93c6f00] log:
├─possible versions are: [0.11.7, 0.12.0, 0.13.0-0.13.1, 0.14.0-0.14.1, 0.15.0-0.15.2, 0.16.0, 0.17.0-0.17.1, 0.18.0-0.18.4, 0.19.0-0.19.4, 0.20.0-0.20.2, 0.21.0] or uninstalled
├─restricted to versions 0.19.4 by an explicit requirement, leaving only versions 0.19.4
└─restricted by compatibility requirements with CSV [336ed68f] to versions: 0.21.0 — no versions left
└─CSV [336ed68f] log:
├─possible versions are: [0.3.0-0.3.1, 0.4.0-0.4.3, 0.5.0-0.5.26, 0.6.0-0.6.2] or uninstalled
└─restricted to versions 0.6.2 by an explicit requirement, leaving only versions 0.6.2

We should ensure that LTS version and packages are not broken. Should I pin to any specific versions? Or should I install everything and keep the “good” installed directory somewhere safe, and
just copy the package directory to the deployed environment? Any guidelines?

Thanks all!

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