mirror of
https://github.com/nix-community/dream2nix.git
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93 lines
4.3 KiB
Markdown
93 lines
4.3 KiB
Markdown
## List of problems which currently exist in nixpkgs
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### Generated Code Size/Duplication
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#### Problem
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- large .nix files containing auto generated code for fetching sources (example: nodejs)
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- many duplicated .nix files containing build logic
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#### Solution
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- dream2nix minimizes the amount of generated nix code, as most of the logic required to build a package resides in the framework and therefore is not duplicated across individual packages.
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- If the upstream lock file format can be interpreted with pure nix and is present at evaluation time, then generating any intermediary code can be omitted.
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- Once any kind of recursive nix (IFD, recursive-nix, RFC-92) is enabled in nixpkgs, dream2nix will utilize it and eliminate the requirement of generating nix code or storing upsteam lock files
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### Update Scripts Duplication/Complexity
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#### Problem
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- update scripts are largely duplicated
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- update scripts are complex
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#### Solution
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- storing `update.sh` scripts alongside packages will not be necessary anymore. dream2nix can generate update procedures on the fly by reading the package declaration.
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- The UI for updating packages is the same across all languages/frameworks
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### Fetching / Caching issues (large FODs)
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#### Problem
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- non-reproducible large FOD fetchers (example: rust)
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- updating FODs is not risk free (forget to update hash)
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- bad caching properties due to large FODs
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#### Solution
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- the translators of dream2nix always produce a clear list of URLs to fetch
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- large-FOD fetching is not necessary and never enforced
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- large-FOD fetching can be used optionally to reduce amount of hashes to be stored
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- even if large-FOD fetching is used, it won't have any of the known reproducibility issues, since dream2nix does never make use of upstream toolchain for fetching and potentially impure operations like dependency resolution are never done inside an FOD.
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- updating hashes of FODs is done via dream2nix CLI, which ensures that the correct hashes are in place
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- As the use of large-FOD fetching is not necessary and therefore minimized, dependencies are cached on an individual basis and shared between packages.
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### Update Workflows
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#### Problem
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- package update workflows can be complicated
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- package update workflows vary significantly depending on the language/fragmework
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#### Solution
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- the workflow for updating packages will be unified and largely independenct of the underlying language/framework.
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### Merge Conflicts for shared dependencies
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#### Problem
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- Due to how shared dependencies are managed, merge conflicts are likely (example: global node-packages.nix)
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#### Solution
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- Having a central set of shared dependencies can make sense to reduce the code size of nixpkgs, load on hydra+cache.
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- To eliminate merge conflicts, the global package set can be maintained via a two stage process. Individual package maintainers can manage their dependencies independently. Once every staging cycle, common dependencies can be found via graph analysis and moved into a global package set.
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- The total amount of dependency versions used can also be minimized by re-running the resolver, prioritizing dependencies from the global set of common packages.
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### Customizability / Overriding
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#### Problem
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- Capabilities vary depending on the underlying generator/translator.
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- UI is different depending on the underlying generator/translator.
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#### Solution
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- dream2nix provides good interfaces for customizability which are unified as much as possible independently from the underlying subsystems.
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### Inefficient/Slow Innovation
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#### Problem
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- Design issues (FOD-impurity, Maintainability, etc.) cannot be fixed easily and lead to long term suffering of maintainers.
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- Innovation often happens on individual tools and are not adopted ecosystem wide
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- New nix features will not be easily adopted as this will require updating many individual tools.
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#### Solution
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- Since dream2nix centrally handles many core elements of packaging like different strategies for fetching and building, it is much easier to fix problems at large scale and apply new innovations to all underlysing subsystems at once.
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- Experimenting with and adding support for new nix features will be easier as the framework offers better abstractions than existing 2nix converters and allows adding/modifying strategies more easily.
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