refactor lit, col, DataFrame, Series

DESCRIPTION

@@ -95,6 +95,7 @@ Collate:
     'rust_result.R'
     's3_methods.R'
     'series__series.R'
+    'series__trait.R'
     'translation.R'
     'vctrs.R'
     'zzz.R'

NAMESPACE

@@ -102,6 +102,9 @@ S3method(as.list,Expr)
 S3method(as.matrix,DataFrame)
 S3method(as.matrix,LazyFrame)
 S3method(as.vector,Series)
+S3method(as_polars_series,POSIXlt)
+S3method(as_polars_series,default)
+S3method(as_polars_series,vctrs_rcrd)
 S3method(c,Series)
 S3method(dim,DataFrame)
 S3method(dim,LazyFrame)
@@ -152,6 +155,7 @@ S3method(tail,LazyFrame)
 S3method(unique,DataFrame)
 S3method(unique,LazyFrame)
 export(.pr)
+export(as_polars_series)
 export(knit_print.DataFrame)
 export(pl)
 importFrom(stats,median)

NEWS.md

@@ -80,6 +80,9 @@ features. Unrelated breaking changes and new features are put in separate sectio
   and allowed as default (#357).
 - Added methods `pl$enable_string_cache()`, `pl$with_string_cache()` and `pl$using_string_cache()`
   for joining/comparing Categorical series/columns (#361).
+- Added an S3 generic `as_polars_series()` where users or developers of extensions
+  can define a custom way to convert their format to Polars format. This generic
+  must return a Polars series. See #368 for an example (#369).
 
 # polars 0.7.0
 

R/dataframe__frame.R

@@ -105,9 +105,6 @@ DataFrame
 #' placeholder name.
 #'
 #' @param make_names_unique default TRUE, any duplicated names will be prefixed a running number
-#' @param parallel bool default FALSE, experimental multithreaded interpretation of R vectors
-#' into a polars DataFrame. This is experimental as multiple threads read from R mem simultaneously.
-#' So far no issues parallel read from R has been found.
 #'
 #' @return DataFrame
 #' @keywords DataFrame_new
@@ -128,8 +125,10 @@ DataFrame
 #'   d = list(1L, 1:2, 1:3, 1:4, 1:5)
 #' ))
 #'
-pl$DataFrame = function(..., make_names_unique = TRUE, parallel = FALSE) {
-  largs = list2(...)
+pl$DataFrame = function(..., make_names_unique = TRUE, parallel = FALSE, via_select =TRUE) {
+
+
+  largs = unpack_list(...)
 
   # no args crete empty DataFrame
   if (length(largs) == 0L) {
@@ -141,16 +140,6 @@ pl$DataFrame = function(..., make_names_unique = TRUE, parallel = FALSE) {
     return(largs[[1L]])
   }
 
-  # if input is one list of expression unpack this one
-  Data = if (length(largs) == 1L && is.list(largs[[1]])) {
-    largs = largs[[1L]]
-    if (length(largs) == 0) {
-      return(.pr$DataFrame$default())
-    }
-    largs
-  }
-
-
 
   # input guard
   if (!is_DataFrame_data_input(largs)) {
@@ -163,8 +152,8 @@ pl$DataFrame = function(..., make_names_unique = TRUE, parallel = FALSE) {
 
 
   ## step 00 get max length to allow cycle 1-length inputs
-  largs_lengths = sapply(largs, length)
-  largs_lengths_max = if (is.integer(largs_lengths)) max(largs_lengths) else NULL
+  # largs_lengths = sapply(largs, length)
+  # largs_lengths_max = if (is.integer(largs_lengths)) max(largs_lengths) else NULL
 
   ## step1 handle column names
   # keys are tentative new column names
@@ -200,64 +189,14 @@ pl$DataFrame = function(..., make_names_unique = TRUE, parallel = FALSE) {
     }
   }
 
-  ## step 4
-
-  if (parallel) {
-    # interpret R vectors into series in DataFrame in parallel
-    aux_df = NULL # save Series temp to here
-    l = mapply(largs, keys, SIMPLIFY = FALSE, FUN = function(column, key) {
-      if (inherits(column, "Series")) {
-        if (is.null(aux_df)) {
-          aux_df <<- .pr$DataFrame$new_with_capacity(length(largs))
-        }
-        .pr$Series$rename_mut(column, key)
-        unwrap(.pr$DataFrame$set_column_from_series(aux_df, column))
-        column = NULL
-      } else {
-        if (length(column) == 1L && isTRUE(largs_lengths_max > 1L)) {
-          column = rep(column, largs_lengths_max)
-        }
-        column = convert_to_fewer_types(column) # type conversions on R side
-      }
-      column
-    })
-    names(l) = keys
-    # drop series from converted columns
-    l = l |> (\(x) if (length(x)) x[!sapply(x, is.null)] else x)()
-
-
-
-    if (length(l)) {
-      self = unwrap(.pr$DataFrame$new_par_from_list(l))
-    } else {
-      self = aux_df
-    }
-
-    # combine DataFrame if both defined and reorder columns
-    if (!is.null(aux_df) && length(l)) {
-      self = pl$concat(list(self, aux_df), rechunk = FALSE, how = "horizontal")
-      self = do.call(self$select, unname(lapply(keys, pl$col))) # reorder columns by keys
-    }
-  } else {
-    # buildDataFrame one column at the time
-    self = .pr$DataFrame$new_with_capacity(length(largs))
-    mapply(largs, keys, FUN = function(column, key) {
-      if (inherits(column, "Series")) {
-        .pr$Series$rename_mut(column, key)
-
-        unwrap(.pr$DataFrame$set_column_from_series(self, column))
-      } else {
-        if (length(column) == 1L && isTRUE(largs_lengths_max > 1L)) {
-          column = rep(column, largs_lengths_max)
-        }
-        column = convert_to_fewer_types(column) # type conversions on R side
-        unwrap(.pr$DataFrame$set_column_from_robj(self, column, key))
-      }
-      return(NULL)
-    })
-  }
+  ## pass to pl$
+  names(largs) = keys
+  result(
+    lapply(largs, pl$lit) |>
+    do.call(what = pl$select)
+  ) |>
+    unwrap("in pl$DataFrame()")
 
-  return(self)
 }
 
 
@@ -716,19 +655,7 @@ DataFrame_sort = function(
 #'   (pl$col("Sepal.Length") + 2)$alias("add_2_SL")
 #' )
 DataFrame_select = function(...) {
-  args = unpack_list(...)
-  .pr$DataFrame$select(self, args) |>
-    and_then(\(df) result(msg = "internal error while renaming columns", {
-      expr_names = names(args)
-      if (!is.null(expr_names)) {
-        old_names = df$columns
-        new_names = old_names
-        has_expr_name = nchar(expr_names) >= 1L
-        new_names[has_expr_name] = expr_names[has_expr_name]
-        df$columns = new_names
-      }
-      df
-    })) |>
+  .pr$DataFrame$select(self, unpack_list(...)) |>
     unwrap("in $select()")
 }
 
@@ -791,7 +718,8 @@ DataFrame_shift_and_fill = function(fill_value, periods = 1) {
 #' @description Add or modify columns with expressions
 #' @name DataFrame_with_columns
 #' @aliases with_columns
-#' @param ... any expressions or string column name, or same wrapped in a list
+#' @param ... any expressions or string column name, or same wrapped in a list. If first and only
+#' element is a list, it is unwrap as a list of args.
 #' @keywords  DataFrame
 #' @return DataFrame
 #' @details   Like dplyr `mutate()` as it keeps unmentioned columns unlike $select().
@@ -801,20 +729,22 @@ DataFrame_shift_and_fill = function(fill_value, periods = 1) {
 #'   (pl$col("Sepal.Length") + 2)$alias("add_2_SL")
 #' )
 #'
+#' # same query
+#' l_expr = list(
+#'   pl$col("Sepal.Length")$abs()$alias("abs_SL"),
+#'   (pl$col("Sepal.Length") + 2)$alias("add_2_SL")
+#' )
+#' pl$DataFrame(iris)$with_columns(l_expr)
+#'
+#'
 #' # rename columns by naming expression is concidered experimental
 #' pl$DataFrame(iris)$with_columns(
 #'   pl$col("Sepal.Length")$abs(), # not named expr will keep name "Sepal.Length"
 #'   SW_add_2 = (pl$col("Sepal.Width") + 2)
 #' )
 DataFrame_with_columns = function(...) {
-  largs = list2(...)
-
-  # unpack a single list
-  if (length(largs) == 1 && is.list(largs[[1]])) {
-    largs = largs[[1]]
-  }
-
-  do.call(self$lazy()$with_columns, largs)$collect()
+  .pr$DataFrame$with_columns(self, unpack_list(...)) |>
+    unwrap("in $with_columns()")
 }
 
 #' modify/append one column

R/expr__expr.R

@@ -921,19 +921,8 @@ Expr_apply = function(f, return_type = NULL, strict_return_type = TRUE, allow_fa
 #' # vectors to literal implicitly
 #' (pl$lit(2) + 1:4) / 4:1
 Expr_lit = function(x) {
-  pcase(
-    is.null(x),
-    .pr$Expr$lit(NULL),
-    inherits(x, "Expr"),
-    Ok(x),
-    inherits(x, "Series"),
-    .pr$Expr$lit(x),
-    length(x) != 1L || inherits(x, c("list", "POSIXct", "PTime", "Date")),
-    {
-      result(pl$Series(x)) |> and_then(.pr$Expr$lit)
-    },
-    or_else = .pr$Expr$lit(x)
-  ) |> unwrap("in lit()")
+  .Call(wrap__Expr__lit, x) |>  #use .call reduces eval from 22us to 15us, not a bottle-next anyways
+    unwrap("in $lit()")
 }
 
 #' polars suffix

R/extendr-wrappers.R

@@ -35,7 +35,7 @@ concat_list <- function(exprs) .Call(wrap__concat_list, exprs)
 
 concat_str <- function(dotdotdot, separator) .Call(wrap__concat_str, dotdotdot, separator)
 
-r_date_range_lazy <- function(start, end, every, closed, time_unit, time_zone) .Call(wrap__r_date_range_lazy, start, end, every, closed, time_unit, time_zone)
+r_date_range_lazy <- function(start, end, every, closed, time_unit, time_zone, explode) .Call(wrap__r_date_range_lazy, start, end, every, closed, time_unit, time_zone, explode)
 
 as_struct <- function(exprs) .Call(wrap__as_struct, exprs)
 
@@ -47,8 +47,6 @@ arrow_stream_to_rust <- function(rbr) invisible(.Call(wrap__arrow_stream_to_rust
 
 dtype_str_repr <- function(dtype) .Call(wrap__dtype_str_repr, dtype)
 
-internal_wrap_e <- function(robj, str_to_lit) .Call(wrap__internal_wrap_e, robj, str_to_lit)
-
 mem_address <- function(robj) .Call(wrap__mem_address, robj)
 
 clone_robj <- function(robj) .Call(wrap__clone_robj, robj)
@@ -85,6 +83,10 @@ test_rthreadhandle <- function() .Call(wrap__test_rthreadhandle)
 
 test_serde_df <- function(df) .Call(wrap__test_serde_df, df)
 
+internal_wrap_e <- function(robj, str_to_lit) .Call(wrap__internal_wrap_e, robj, str_to_lit)
+
+robj_to_col <- function(name, dotdotdot) .Call(wrap__robj_to_col, name, dotdotdot)
+
 enable_string_cache <- function(toggle) .Call(wrap__enable_string_cache, toggle)
 
 using_string_cache <- function() .Call(wrap__using_string_cache)
@@ -109,8 +111,6 @@ DataFrame$set_column_from_robj <- function(robj, name) .Call(wrap__DataFrame__se
 
 DataFrame$set_column_from_series <- function(x) .Call(wrap__DataFrame__set_column_from_series, self, x)
 
-DataFrame$new_par_from_list <- function(robj_list) .Call(wrap__DataFrame__new_par_from_list, robj_list)
-
 DataFrame$with_row_count <- function(name, offset) .Call(wrap__DataFrame__with_row_count, self, name, offset)
 
 DataFrame$print <- function() .Call(wrap__DataFrame__print, self)
@@ -143,6 +143,8 @@ DataFrame$drop_in_place <- function(names) .Call(wrap__DataFrame__drop_in_place,
 
 DataFrame$select <- function(exprs) .Call(wrap__DataFrame__select, self, exprs)
 
+DataFrame$with_columns <- function(exprs) .Call(wrap__DataFrame__with_columns, self, exprs)
+
 DataFrame$by_agg <- function(group_exprs, agg_exprs, maintain_order) .Call(wrap__DataFrame__by_agg, self, group_exprs, agg_exprs, maintain_order)
 
 DataFrame$to_struct <- function(name) .Call(wrap__DataFrame__to_struct, self, name)
@@ -979,8 +981,12 @@ LazyFrame$fill_null <- function(fill_value) .Call(wrap__LazyFrame__fill_null, se
 
 LazyFrame$slice <- function(offset, length) .Call(wrap__LazyFrame__slice, self, offset, length)
 
+LazyFrame$with_columns <- function(exprs) .Call(wrap__LazyFrame__with_columns, self, exprs)
+
 LazyFrame$select <- function(exprs) .Call(wrap__LazyFrame__select, self, exprs)
 
+LazyFrame$select_str_as_lit <- function(exprs) .Call(wrap__LazyFrame__select_str_as_lit, self, exprs)
+
 LazyFrame$limit <- function(n) .Call(wrap__LazyFrame__limit, self, n)
 
 LazyFrame$tail <- function(n) .Call(wrap__LazyFrame__tail, self, n)
@@ -993,8 +999,6 @@ LazyFrame$unique <- function(subset, keep, maintain_order) .Call(wrap__LazyFrame
 
 LazyFrame$groupby <- function(exprs, maintain_order) .Call(wrap__LazyFrame__groupby, self, exprs, maintain_order)
 
-LazyFrame$with_columns <- function(exprs) .Call(wrap__LazyFrame__with_columns, self, exprs)
-
 LazyFrame$with_column <- function(expr) .Call(wrap__LazyFrame__with_column, self, expr)
 
 LazyFrame$with_row_count <- function(name, offset) .Call(wrap__LazyFrame__with_row_count, self, name, offset)
@@ -1017,7 +1021,7 @@ LazyFrame$optimization_toggle <- function(type_coercion, predicate_pushdown, pro
 
 LazyFrame$profile <- function() .Call(wrap__LazyFrame__profile, self)
 
-LazyFrame$explode <- function(dotdotdot_args) .Call(wrap__LazyFrame__explode, self, dotdotdot_args)
+LazyFrame$explode <- function(dotdotdot) .Call(wrap__LazyFrame__explode, self, dotdotdot)
 
 LazyFrame$clone_see_me_macro <- function() .Call(wrap__LazyFrame__clone_see_me_macro, self)
 

R/functions__eager.R

@@ -86,6 +86,8 @@ pl$concat = function(
 #' @param name name of series
 #' @param time_unit option string ("ns" "us" "ms") duration of one int64 value on polars side
 #' @param time_zone optional string describing a timezone.
+#' @param explode if TRUE (default) all created ranges will be "unlisted" into on column, if FALSE
+#' output will be a list of ranges.
 #'
 #' @details
 #' If param time_zone is not defined the Series will have no time zone.
@@ -133,7 +135,8 @@ pl$date_range = function(
     closed = "both", # : ClosedInterval = "both",
     name = NULL, # : str | None = None,
     time_unit = "us",
-    time_zone = NULL # : str | None = None
+    time_zone = NULL, # : str | None = None
+    explode = TRUE
     ) {
   if (missing(end)) {
     end = start
@@ -154,7 +157,7 @@ pl$date_range = function(
   start = cast_naive_value_to_datetime_expr(start)
   end = cast_naive_value_to_datetime_expr(end)
 
-  r_date_range_lazy(start, end, interval, closed, time_unit, time_zone) |>
+  r_date_range_lazy(start, end, interval, closed, time_unit, time_zone, explode) |>
     and_then(f_eager_eval) |>
     unwrap("in pl$date_range()")
 }