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S3 reading support #198
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S3 reading support #198
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -51,8 +51,15 @@ NULL | |
| # https://ngff.openmicroscopy.org/specifications/0.5/index.html#images | ||
| # The name of the array is arbitrary with the ordering defined by | ||
| # by the "multiscales" metadata, but is often a sequence starting at 0. | ||
| ds <- .validate_multiscales_paths(x, datasets(mdattr)) | ||
| ds <- file.path(x, as.character(ds)) | ||
| if (!any(startsWith(x, c("http://", "https://", "s3://")))) { | ||
| # Until we have a complete store interface (https://github.com/Huber-group-EMBL/Rarr/pull/176), | ||
| # only local objects can be fully validated. | ||
| ds <- .validate_multiscales_paths(x, datasets(mdattr)) | ||
| } else { | ||
| # For remote objects, we skip validation and assume that the datasets are in the expected location. | ||
| ds <- datasets(mdattr) | ||
| } | ||
| ds <- paste0(x, ds) | ||
| as <- lapply(ds, ZarrArray) | ||
| list(array=as, mdattr=mdattr) | ||
| } | ||
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@@ -77,7 +84,7 @@ readLabel <- function(x, ...) { | |
| #' @importFrom dplyr sql | ||
| #' @export | ||
| readPoint <- function(x, ...) { | ||
| pq <- list.files(x, "\\.parquet$", full.names=TRUE) | ||
| pq <- paste0(x, file.path("points.parquet", "part.0.parquet")) | ||
|
Collaborator
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. TODO: open an issue in Spatialdata python. Why do points have an extra nesting level?
Is this really intended? If so, if this desirable? |
||
| md <- read_zarr_attributes(x) | ||
| ax <- unlist(md$axes) | ||
| df <- ddbs_open_dataset(pq, conn=.conn()) |> | ||
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@@ -93,7 +100,8 @@ readPoint <- function(x, ...) { | |
| #' @export | ||
| readShape <- function(x, ...) { | ||
| md <- read_zarr_attributes(x) | ||
| pq <- list.files(x, "\\.parquet$", full.names=TRUE) | ||
| # "shapes.parquet" currently hardcoded in SpatialData.io | ||
| pq <- paste0(x, "shapes.parquet") | ||
| df <- ddbs_open_dataset(pq, conn=.conn(), crs=NA_character_) | ||
| SpatialDataShape(data=df, meta=SpatialDataAttrs(md)) | ||
| } | ||
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@@ -131,10 +139,23 @@ readSpatialData <- function(x, | |
| args <- as.list(environment())[.LAYERS] | ||
| skip <- vapply(args, isFALSE, logical(1)) | ||
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| x <- Rarr:::.normalize_array_path(x) | ||
| store_meta <- Rarr:::.read_consolidated_metadata(x)$metadata | ||
|
Collaborator
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. In Bioconductor, it seems acceptable to use internal functions (see, e.g., ZarrArray) but ideally, this will be eventually exported: Huber-group-EMBL/Rarr#116
Collaborator
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. TODO: Spatialdata python uses
Collaborator
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The best way to deal with this here is to address this in the same way as we deal with datasets that don't have consolidated metadata: by recreating it. |
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| # We have to treat v2 and v3 separately in the next 3 lines but we unify them again as `store_groups`. | ||
| store_groups_v3 <- store_meta[vapply(store_meta, \(.) !is.null(.$node_type) && .$node_type == "group", logical(1))] | ||
| store_groups_v2 <- store_meta[endsWith(names(store_meta), ".zgroup")] | ||
| names(store_groups_v2) <- dirname(names(store_groups_v2)) | ||
| store_groups <- names(c(store_groups_v3, store_groups_v2)) | ||
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| # helper for layer reading | ||
| .readLayer <- \(l) { | ||
| j <- list.dirs(file.path(x, l), recursive=FALSE, full.names=TRUE) | ||
| names(j) <- basename(j) | ||
| j <- store_groups[startsWith(store_groups, paste0(l, "/"))] | ||
| j <- setNames( | ||
| paste0(x, j, "/", recycle0 = TRUE), | ||
| basename(j) | ||
| ) | ||
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| opt <- args[[l]] | ||
| if (!isTRUE(opt)) { | ||
| if (is.numeric(opt) && opt > (. <- length(j))) | ||
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@@ -143,8 +164,8 @@ readSpatialData <- function(x, | |
| stop("couldn't find ", l, " of name", .) | ||
| j <- j[opt] | ||
| } | ||
| f <- get(paste0("read", toupper(substr(l, 1, 1)), substr(l, 2, nchar(l)-1))) | ||
| lapply(j, \(.) do.call(f, list(.))) | ||
| reader <- get(paste0("read", toupper(substr(l, 1, 1)), substr(l, 2, nchar(l)-1))) | ||
| lapply(j, reader) | ||
| } | ||
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| names(ls) <- ls <- .LAYERS[!skip] | ||
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Choose a reason for hiding this comment
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This will be handled by rome eventually anyways.