feat: add strict channel priority option

crates/rattler-bin/src/commands/create.rs

@@ -167,6 +167,7 @@ pub async fn create(opt: Opt) -> anyhow::Result<()> {
                     record.depends.push("pip".to_string());
                 }
             }),
+            true,
         )
     })?;
 

crates/rattler_repodata_gateway/src/sparse/mod.rs

@@ -118,10 +118,15 @@ impl SparseRepoData {
     ///
     /// This will parse the records for the specified packages as well as all the packages these records
     /// depend on.
+    ///
+    /// When strict_channel_priority is true, the channel where a package is found first will be
+    /// the only channel used for that package. Make it false to search in all channels for all packages.
+    ///
     pub fn load_records_recursive<'a>(
         repo_data: impl IntoIterator<Item = &'a SparseRepoData>,
         package_names: impl IntoIterator<Item = PackageName>,
         patch_function: Option<fn(&mut PackageRecord)>,
+        strict_channel_priority: bool,
     ) -> io::Result<Vec<Vec<RepoDataRecord>>> {
         let repo_data: Vec<_> = repo_data.into_iter().collect();
 
@@ -136,7 +141,13 @@ impl SparseRepoData {
 
         // Iterate over the list of packages that still need to be processed.
         while let Some(next_package) = pending.pop_front() {
+            let mut found_in_channel = None;
             for (i, repo_data) in repo_data.iter().enumerate() {
+                // If package was found in other channel, skip this repodata
+                if found_in_channel.map_or(false, |c| c != &repo_data.channel.base_url) {
+                    continue;
+                }
+
                 let repo_data_packages = repo_data.inner.borrow_repo_data();
                 let base_url = repo_data_packages
                     .info
@@ -162,6 +173,10 @@ impl SparseRepoData {
                 )?;
                 records.append(&mut conda_records);
 
+                if strict_channel_priority && !records.is_empty() {
+                    found_in_channel = Some(&repo_data.channel.base_url);
+                }
+
                 // Iterate over all packages to find recursive dependencies.
                 for record in records.iter() {
                     for dependency in &record.package_record.depends {
@@ -259,6 +274,7 @@ pub async fn load_repo_data_recursively(
     repo_data_paths: impl IntoIterator<Item = (Channel, impl Into<String>, impl AsRef<Path>)>,
     package_names: impl IntoIterator<Item = PackageName>,
     patch_function: Option<fn(&mut PackageRecord)>,
+    strict_channel_priority: bool,
 ) -> Result<Vec<Vec<RepoDataRecord>>, io::Error> {
     // Open the different files and memory map them to get access to their bytes. Do this in parallel.
     let lazy_repo_data = stream::iter(repo_data_paths)
@@ -277,7 +293,12 @@ pub async fn load_repo_data_recursively(
         .try_collect::<Vec<_>>()
         .await?;
 
-    SparseRepoData::load_records_recursive(&lazy_repo_data, package_names, patch_function)
+    SparseRepoData::load_records_recursive(
+        &lazy_repo_data,
+        package_names,
+        patch_function,
+        strict_channel_priority,
+    )
 }
 
 fn deserialize_filename_and_raw_record<'d, D: Deserializer<'d>>(
@@ -380,6 +401,7 @@ impl<'de> TryFrom<&'de str> for PackageFilename<'de> {
 #[cfg(test)]
 mod test {
     use super::{load_repo_data_recursively, PackageFilename};
+    use itertools::Itertools;
     use rattler_conda_types::{Channel, ChannelConfig, PackageName, RepoData, RepoDataRecord};
     use rstest::rstest;
     use std::path::{Path, PathBuf};
@@ -390,6 +412,7 @@ mod test {
 
     async fn load_sparse(
         package_names: impl IntoIterator<Item = impl AsRef<str>>,
+        strict_channel_priority: bool,
     ) -> Vec<Vec<RepoDataRecord>> {
         load_repo_data_recursively(
             [
@@ -403,25 +426,31 @@ mod test {
                     "linux-64",
                     test_dir().join("channels/conda-forge/linux-64/repodata.json"),
                 ),
+                (
+                    Channel::from_str("pytorch", &ChannelConfig::default()).unwrap(),
+                    "linux-64",
+                    test_dir().join("channels/pytorch/linux-64/repodata.json"),
+                ),
             ],
             package_names
                 .into_iter()
                 .map(|name| PackageName::try_from(name.as_ref()).unwrap()),
             None,
+            strict_channel_priority,
         )
         .await
         .unwrap()
     }
 
     #[tokio::test]
     async fn test_empty_sparse_load() {
-        let sparse_empty_data = load_sparse(Vec::<String>::new()).await;
-        assert_eq!(sparse_empty_data, vec![vec![], vec![]]);
+        let sparse_empty_data = load_sparse(Vec::<String>::new(), false).await;
+        assert_eq!(sparse_empty_data, vec![vec![], vec![], vec![]]);
     }
 
     #[tokio::test]
     async fn test_sparse_single() {
-        let sparse_empty_data = load_sparse(["_libgcc_mutex"]).await;
+        let sparse_empty_data = load_sparse(["_libgcc_mutex"], false).await;
         let total_records = sparse_empty_data
             .iter()
             .map(|repo| repo.len())
@@ -430,9 +459,45 @@ mod test {
         assert_eq!(total_records, 3);
     }
 
+    #[tokio::test]
+    async fn test_sparse_strict() {
+        // If we load pytorch-cpy from all channels (non-strict) we expect records from both
+        // conda-forge and the pytorch channels.
+        let sparse_data = load_sparse(["pytorch-cpu"], false).await;
+        let channels = sparse_data
+            .into_iter()
+            .flatten()
+            .filter(|record| record.package_record.name.as_normalized() == "pytorch-cpu")
+            .map(|record| record.channel)
+            .unique()
+            .collect_vec();
+        assert_eq!(
+            channels,
+            vec![
+                String::from("https://conda.anaconda.org/conda-forge/"),
+                String::from("https://conda.anaconda.org/pytorch/")
+            ]
+        );
+
+        // If we load pytorch-cpy from strict channels we expect records only from the first channel
+        // that contains the package. In this case we expect records only from conda-forge.
+        let strict_sparse_data = load_sparse(["pytorch-cpu"], true).await;
+        let channels = strict_sparse_data
+            .into_iter()
+            .flatten()
+            .filter(|record| record.package_record.name.as_normalized() == "pytorch-cpu")
+            .map(|record| record.channel)
+            .unique()
+            .collect_vec();
+        assert_eq!(
+            channels,
+            vec![String::from("https://conda.anaconda.org/conda-forge/")]
+        );
+    }
+
     #[tokio::test]
     async fn test_parse_duplicate() {
-        let sparse_empty_data = load_sparse(["_libgcc_mutex", "_libgcc_mutex"]).await;
+        let sparse_empty_data = load_sparse(["_libgcc_mutex", "_libgcc_mutex"], false).await;
         let total_records = sparse_empty_data
             .iter()
             .map(|repo| repo.len())
@@ -444,7 +509,7 @@ mod test {
 
     #[tokio::test]
     async fn test_sparse_jupyterlab_detectron2() {
-        let sparse_empty_data = load_sparse(["jupyterlab", "detectron2"]).await;
+        let sparse_empty_data = load_sparse(["jupyterlab", "detectron2"], true).await;
 
         let total_records = sparse_empty_data
             .iter()
@@ -456,30 +521,33 @@ mod test {
 
     #[tokio::test]
     async fn test_sparse_numpy_dev() {
-        let sparse_empty_data = load_sparse([
-            "python",
-            "cython",
-            "compilers",
-            "openblas",
-            "nomkl",
-            "pytest",
-            "pytest-cov",
-            "pytest-xdist",
-            "hypothesis",
-            "mypy",
-            "typing_extensions",
-            "sphinx",
-            "numpydoc",
-            "ipython",
-            "scipy",
-            "pandas",
-            "matplotlib",
-            "pydata-sphinx-theme",
-            "pycodestyle",
-            "gitpython",
-            "cffi",
-            "pytz",
-        ])
+        let sparse_empty_data = load_sparse(
+            [
+                "python",
+                "cython",
+                "compilers",
+                "openblas",
+                "nomkl",
+                "pytest",
+                "pytest-cov",
+                "pytest-xdist",
+                "hypothesis",
+                "mypy",
+                "typing_extensions",
+                "sphinx",
+                "numpydoc",
+                "ipython",
+                "scipy",
+                "pandas",
+                "matplotlib",
+                "pydata-sphinx-theme",
+                "pycodestyle",
+                "gitpython",
+                "cffi",
+                "pytz",
+            ],
+            false,
+        )
         .await;
 
         let total_records = sparse_empty_data

crates/rattler_solve/benches/bench.rs

@@ -52,7 +52,7 @@ fn bench_solve_environment(c: &mut Criterion, specs: Vec<&str>) {
 
     let names = specs.iter().map(|s| s.name.clone().unwrap());
     let available_packages =
-        SparseRepoData::load_records_recursive(&sparse_repo_datas, names, None).unwrap();
+        SparseRepoData::load_records_recursive(&sparse_repo_datas, names, None, true).unwrap();
 
     #[cfg(feature = "libsolv_c")]
     group.bench_function("libsolv_c", |b| {

crates/rattler_solve/tests/backends.rs

@@ -110,7 +110,7 @@ fn solve_real_world<T: SolverImpl + Default>(specs: Vec<&str>) -> Vec<String> {
 
     let names = specs.iter().filter_map(|s| s.name.as_ref().cloned());
     let available_packages =
-        SparseRepoData::load_records_recursive(sparse_repo_datas, names, None).unwrap();
+        SparseRepoData::load_records_recursive(sparse_repo_datas, names, None, true).unwrap();
 
     let solver_task = SolverTask {
         available_packages: &available_packages,
@@ -592,7 +592,7 @@ fn compare_solve(specs: Vec<&str>) {
 
     let names = specs.iter().filter_map(|s| s.name.as_ref().cloned());
     let available_packages =
-        SparseRepoData::load_records_recursive(sparse_repo_datas, names, None).unwrap();
+        SparseRepoData::load_records_recursive(sparse_repo_datas, names, None, true).unwrap();
 
     let extract_pkgs = |records: Vec<RepoDataRecord>| {
         let mut pkgs = records

py-rattler/rattler/repo_data/sparse.py

@@ -115,6 +115,7 @@ def subdir(self) -> str:
     def load_records_recursive(
         repo_data: List[SparseRepoData],
         package_names: List[PackageName],
+        strict_channel_priority: bool = True,
     ) -> List[List[RepoDataRecord]]:
         """
         Given a set of [`SparseRepoData`]s load all the records
@@ -142,6 +143,7 @@ def load_records_recursive(
             for list_of_records in PySparseRepoData.load_records_recursive(
                 [r._sparse for r in repo_data],
                 [p._name for p in package_names],
+                strict_channel_priority,
             )
         ]
 

py-rattler/rattler/solver/solver.py

@@ -14,6 +14,7 @@ def solve(
     locked_packages: Optional[List[RepoDataRecord]] = None,
     pinned_packages: Optional[List[RepoDataRecord]] = None,
     virtual_packages: Optional[List[GenericVirtualPackage]] = None,
+    strict_channel_priority: bool = True,
 ) -> List[RepoDataRecord]:
     """
     Resolve the dependencies and return the `RepoDataRecord`s
@@ -38,6 +39,9 @@ def solve(
                          will always select that version no matter what even if that
                          means other packages have to be downgraded.
         virtual_packages: A list of virtual packages considered active.
+        strict_channel_priority: (Default = True) When `True` the channel that the package
+                         is first found in will be used as the only channel for that package.
+                         When `False` it will search for every package in every channel.
 
     Returns:
         Resolved list of `RepoDataRecord`s.
@@ -54,5 +58,6 @@ def solve(
                 v_package._generic_virtual_package
                 for v_package in virtual_packages or []
             ],
+            strict_channel_priority,
         )
     ]