b5538960c3
Create chains of causation for error messages.
The current implementation is only completed for some of the many errors presented by the concretizer. The rest will need to be filled out over time, but this demonstrates the capability.
The basic idea is to associate conditions in the solver with one another in causal relationships, and to associate errors with the proximate causes of their facts in the condition graph. Then we can construct causal trees to explain errors, which will hopefully present users with useful information to avoid the error or report issues.
Technically, this is implemented as a secondary solve. The concretizer computes the optimal model, and if the optimal model contains an error, then a secondary solve computes causation information about the error(s) in the concretizer output.
Examples:
$ spack solve hdf5 ^cmake@3.0.1
==> Error: concretization failed for the following reasons:
1. Cannot satisfy 'cmake@3.0.1'
2. Cannot satisfy 'cmake@3.0.1'
required because hdf5 ^cmake@3.0.1 requested from CLI
3. Cannot satisfy 'cmake@3.18:' and 'cmake@3.0.1
required because hdf5 ^cmake@3.0.1 requested from CLI
required because hdf5 depends on cmake@3.18: when @1.13:
required because hdf5 ^cmake@3.0.1 requested from CLI
4. Cannot satisfy 'cmake@3.12:' and 'cmake@3.0.1
required because hdf5 depends on cmake@3.12:
required because hdf5 ^cmake@3.0.1 requested from CLI
required because hdf5 ^cmake@3.0.1 requested from CLI
$ spack spec cmake ^curl~ldap # <-- with curl configured non-buildable and an external with `+ldap`
==> Error: concretization failed for the following reasons:
1. Attempted to use external for 'curl' which does not satisfy any configured external spec
2. Attempted to build package curl which is not buildable and does not have a satisfying external
attr('variant_value', 'curl', 'ldap', 'True') is an external constraint for curl which was not satisfied
3. Attempted to build package curl which is not buildable and does not have a satisfying external
attr('variant_value', 'curl', 'gssapi', 'True') is an external constraint for curl which was not satisfied
4. Attempted to build package curl which is not buildable and does not have a satisfying external
'curl+ldap' is an external constraint for curl which was not satisfied
'curl~ldap' required
required because cmake ^curl~ldap requested from CLI
$ spack solve yambo+mpi ^hdf5~mpi
==> Error: concretization failed for the following reasons:
1. 'hdf5' required multiple values for single-valued variant 'mpi'
2. 'hdf5' required multiple values for single-valued variant 'mpi'
Requested '~mpi' and '+mpi'
required because yambo depends on hdf5+mpi when +mpi
required because yambo+mpi ^hdf5~mpi requested from CLI
required because yambo+mpi ^hdf5~mpi requested from CLI
3. 'hdf5' required multiple values for single-valued variant 'mpi'
Requested '~mpi' and '+mpi'
required because netcdf-c depends on hdf5+mpi when +mpi
required because netcdf-fortran depends on netcdf-c
required because yambo depends on netcdf-fortran
required because yambo+mpi ^hdf5~mpi requested from CLI
required because netcdf-fortran depends on netcdf-c@4.7.4: when @4.5.3:
required because yambo depends on netcdf-fortran
required because yambo+mpi ^hdf5~mpi requested from CLI
required because yambo depends on netcdf-c
required because yambo+mpi ^hdf5~mpi requested from CLI
required because yambo depends on netcdf-c+mpi when +mpi
required because yambo+mpi ^hdf5~mpi requested from CLI
required because yambo+mpi ^hdf5~mpi requested from CLI
Future work:
In addition to fleshing out the causes of other errors, I would like to find a way to associate different components of the error messages with different causes. In this example it's pretty easy to infer which part is which, but I'm not confident that will always be the case.
See the previous PR #34500 for discussion of how the condition chains are incomplete. In the future, we may need custom logic for individual attributes to associate some important choice rules with conditions such that clingo choices or other derivations can be part of the explanation.
---------
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
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| lib/spack | ||
| share/spack | ||
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| .codecov.yml | ||
| .dockerignore | ||
| .flake8 | ||
| .git-blame-ignore-revs | ||
| .gitattributes | ||
| .gitignore | ||
| .mailmap | ||
| .readthedocs.yml | ||
| CHANGELOG.md | ||
| CITATION.cff | ||
| COPYRIGHT | ||
| LICENSE-APACHE | ||
| LICENSE-MIT | ||
| NOTICE | ||
| pyproject.toml | ||
| pytest.ini | ||
| README.md | ||
| SECURITY.md | ||
Spack
Spack is a multi-platform package manager that builds and installs multiple versions and configurations of software. It works on Linux, macOS, and many supercomputers. Spack is non-destructive: installing a new version of a package does not break existing installations, so many configurations of the same package can coexist.
Spack offers a simple "spec" syntax that allows users to specify versions and configuration options. Package files are written in pure Python, and specs allow package authors to write a single script for many different builds of the same package. With Spack, you can build your software all the ways you want to.
See the Feature Overview for examples and highlights.
To install spack and your first package, make sure you have Python. Then:
$ git clone -c feature.manyFiles=true https://github.com/spack/spack.git
$ cd spack/bin
$ ./spack install zlib
Documentation
Full documentation is available, or
run spack help or spack help --all.
For a cheat sheet on Spack syntax, run spack help --spec.
Tutorial
We maintain a hands-on tutorial. It covers basic to advanced usage, packaging, developer features, and large HPC deployments. You can do all of the exercises on your own laptop using a Docker container.
Feel free to use these materials to teach users at your organization about Spack.
Community
Spack is an open source project. Questions, discussion, and contributions are welcome. Contributions can be anything from new packages to bugfixes, documentation, or even new core features.
Resources:
- Slack workspace: spackpm.slack.com. To get an invitation, visit slack.spack.io.
- Matrix space: #spack-space:matrix.org: bridged to Slack.
- Github Discussions: not just for discussions, but also Q&A.
- Mailing list: groups.google.com/d/forum/spack
- Twitter: @spackpm. Be sure to
@mentionus!
Contributing
Contributing to Spack is relatively easy. Just send us a
pull request.
When you send your request, make develop the destination branch on the
Spack repository.
Your PR must pass Spack's unit tests and documentation tests, and must be PEP 8 compliant. We enforce these guidelines with our CI process. To run these tests locally, and for helpful tips on git, see our Contribution Guide.
Spack's develop branch has the latest contributions. Pull requests
should target develop, and users who want the latest package versions,
features, etc. can use develop.
Releases
For multi-user site deployments or other use cases that need very stable software installations, we recommend using Spack's stable releases.
Each Spack release series also has a corresponding branch, e.g.
releases/v0.14 has 0.14.x versions of Spack, and releases/v0.13 has
0.13.x versions. We backport important bug fixes to these branches but
we do not advance the package versions or make other changes that would
change the way Spack concretizes dependencies within a release branch.
So, you can base your Spack deployment on a release branch and git pull
to get fixes, without the package churn that comes with develop.
The latest release is always available with the releases/latest tag.
See the docs on releases for more details.
Code of Conduct
Please note that Spack has a Code of Conduct. By participating in the Spack community, you agree to abide by its rules.
Authors
Many thanks go to Spack's contributors.
Spack was created by Todd Gamblin, tgamblin@llnl.gov.
Citing Spack
If you are referencing Spack in a publication, please cite the following paper:
- Todd Gamblin, Matthew P. LeGendre, Michael R. Collette, Gregory L. Lee, Adam Moody, Bronis R. de Supinski, and W. Scott Futral. The Spack Package Manager: Bringing Order to HPC Software Chaos. In Supercomputing 2015 (SC’15), Austin, Texas, November 15-20 2015. LLNL-CONF-669890.
On GitHub, you can copy this citation in APA or BibTeX format via the "Cite this repository"
button. Or, see the comments in CITATION.cff for the raw BibTeX.
License
Spack is distributed under the terms of both the MIT license and the Apache License (Version 2.0). Users may choose either license, at their option.
All new contributions must be made under both the MIT and Apache-2.0 licenses.
See LICENSE-MIT, LICENSE-APACHE, COPYRIGHT, and NOTICE for details.
SPDX-License-Identifier: (Apache-2.0 OR MIT)
LLNL-CODE-811652