# The Stackage data flow The Stackage project is really built on top of a number of different subcomponents. This page covers how they fit together. The Stackage data flow diagram gives a good bird's-eye view: ![Stackage data flow diagram](https://cloud.githubusercontent.com/assets/49415/14490986/cad5274e-017e-11e6-85cc-a4d815175c61.png) ## Inputs There are three inputs into the data flow: * [Hackage](http://hackage.haskell.org/) is the upstream repository of all available open source Haskell packages that are part of our ecosystem. Hackage provides both cabal file metadata (via the 00-index.tar file) and tarballs of the individual packages. * [build-constraints.yaml](https://github.com/commercialhaskell/stackage/blob/master/build-constraints.yaml) is the primary Stackage input file. This is where package maintainers can add packages to the Stackage package set. This also defines upper bounds, skipped tests, and a few other pieces of metadata. * [stackage-content](https://github.com/commercialhaskell/stackage-content) is a Github repository containing static file content served from stackage.org ## Travis For [various reasons](https://tech.fpcomplete.com/blog/2015/05/distributing-packages-without-sysadmin), we leverage Travis CI for running some processes. In particular: * [all-cabal-files](https://github.com/commercialhaskell/all-cabal-files/blob/hackage/.travis.yml) clones all cabal files from Hackage's 00-index.tar file into a Git repository without any modification * [all-cabal-hashes](https://github.com/commercialhaskell/all-cabal-hashes/blob/hackage/.travis.yml) is mostly the same, but also includes cryptographic hashes of the package tarballs for more secure download (as leveraged by [Stack](http://haskellstack.com). It is powered by [all-cabal-hashes-tool](https://github.com/commercialhaskell/all-cabal-hashes-tool) * [all-cabal-packages](https://github.com/commercialhaskell/all-cabal-packages) uses [hackage-mirror](http://github.com/fpco/hackage-mirror) to populate the hackage.fpcomplete.com mirror of Hackage, which provides S3-backed high availability hosting of all package tarballs * [all-cabal-metadata](https://github.com/commercialhaskell/all-cabal-metadata) uses [all-cabal-metadata-tool](https://github.com/commercialhaskell/all-cabal-metadata-tool) to query extra metadata from Hackage about packages and put them into YAML files. As we'll see later, this avoids the need to make a lot of costly calls to Hackage APIs Travis does not currently provide a means of running jobs on a regular basis. Therefore, we have a simple cron job on the Stackage build server that triggers each of the above builds every 30 minutes. ## stackage-curator The heart of running Stackage builds is the [stackage-curator](https://github.com/commercialhaskell/curator) tool. We run this on a daily basis on the Stackage build server for Stackage Nightly, and on a weekly basis for LTS Haskell. The build process is [automated](https://github.com/commercialhaskell/stackage/blob/master/automated/build.sh) and leverages Docker quite a bit. stackage-curator needs to know about the most recent versions of all packages, their tarball contents, and some metadata, all of which it gets from the Travis-generated sources mentioned in the previous section. In addition, it needs to know about build constraints, which can come from one of two places: * When doing an LTS Haskell minor version bump (e.g., building lts-5.13), it grabs the previous version (e.g., lts-5.12) and converts the previous package set into constraints. For example, if lts-5.12 contains the package foo-5.6.7, this will be converted into the constraint `foo >= 5.6.7 && < 5.7`. * When doing a Stackage Nightly build or LTS Haskell major version bump (e.g., building lts-6.0), it grabs the latest version of the build-constraints.yaml file. By combining these constraints with the current package data, stackage-curator can generate a build plan and check it. (As an aside, this build plan generation and checking also occurs every time you make a pull request to the stackage repo.) If there are version bounds problems, one of the [Stackage curators](https://github.com/commercialhaskell/stackage/blob/master/CURATORS.md) will open up a Github issue and will add upper bounds, temporarily block a package, or some other corrective action. Once a valid build plan is found, stackage-curator will build all packages, build docs, and run test suites. Assuming that all succeeds, it generates some artifacts: * Uploads the build plan as a YAML file to [stackage-snapshots](https://github.com/commercialhaskell/stackage-snapshots) * Uploads the generated Haddock docs and a package index (containing all used .cabal files) to haddock.stackage.org. ## stackage-server-cron On the Stackage build server, we run the [stackage-server-cron executable](https://github.com/fpco/stackage-server/blob/master/app/stackage-server-cron.hs) regularly, which generates: * A [SQLite database](https://github.com/fpco/stackage-server/blob/master/Stackage/Database.hs) containing information on snapshots, the packages they contain, Hackage metadata about packages, and a bit more. This database is uploaded to S3. * A Hoogle database for each snapshot, which is also uploaded to S3 ## stackage-server The [software running stackage.org](https://github.com/fpco/stackage-server) is a relatively simple Yesod web application. It pulls data from the stackage-content repo, the SQLite database, the Hoogle databases, and the build plans for Stackage Nightly and LTS Haskell. It doesn't generate anything important of its own except for a user interface. ## Stack [Stack](http://haskellstack.com) takes advantage of many of the pieces listed above as well: * It by default uses the all-cabal-hashes repo for getting package metadata, and downloads package contents from the hackage.fpcomplete.com mirror (using the hashes in the repo for verification) * There are some metadata files in stackage-content which contain information on, for example, where to download GHC tarballs from to make `stack setup` work * Stack downloads the raw build plans for Stackage Nightly and LTS Haskell from the Github repo and uses them when deciding which packages to build for a given stack.yaml file