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Start <- function(..., # dim = indices/selectors,
# dim_var = 'var',
# dim_reorder = Sort/CircularSort,
# dim_tolerance = number,
# dim_depends = 'file_dim',
# dim_across = 'file_dim',
return_vars = NULL,
file_opener = NcOpener,
file_var_reader = NcVarReader,
file_dim_reader = NcDimReader,
file_data_reader = NcDataReader,
file_closer = NcCloser,
transform = NULL,
transform_params = NULL,
transform_vars = NULL,
transform_extra_cells = 0,
apply_indices_after_transform = FALSE,
pattern_dims = NULL,
metadata_dims = NULL,
selector_checker = SelectorChecker,
explore = FALSE,
num_procs = NULL, silent = FALSE, debug = FALSE) {
#, config_file = NULL
#dictionary_dim_names = ,
#dictionary_var_names =
dim_params <- list(...)
# Take *_var parameters apart
var_params_ind <- grep('_var$', names(dim_params))
var_params <- dim_params[var_params_ind]
# Check all *_var are NULL or vectors of character strings, and
# that they all have a matching dimension param.
i <- 1
for (var_param in var_params) {
if (!is.character(var_param)) {
stop("All '*_var' parameters must be character strings.")
} else if (!any(grepl(paste0('^', strsplit(names(var_params)[i],
'_var$')[[1]][1], '$'),
names(dim_params)))) {
stop(paste0("All '*_var' parameters must be associated to a dimension parameter. Found parameter '",
names(var_params)[i], "' but no parameter '",
strsplit(names(var_params)[i], '_var$')[[1]][1], "'."))
}
i <- i + 1
}
# Make the keys of 'var_params' to be the name of
# the corresponding dimension.
if (length(var_params) < 1) {
var_params <- NULL
} else {
names(var_params) <- gsub('_var$', '', names(var_params))
}
# Take *_reorder parameters apart
dim_reorder_params_ind <- grep('_reorder$', names(dim_params))
dim_reorder_params <- dim_params[dim_reorder_params_ind]
# Check all *_reorder are NULL or functions, and that they all have
# a matching dimension param.
i <- 1
for (dim_reorder_param in dim_reorder_params) {
if (!is.function(dim_reorder_param)) {
stop("All '*_reorder' parameters must be functions.")
} else if (!any(grepl(paste0('^', strsplit(names(dim_reorder_params)[i],
'_reorder$')[[1]][1], '$'),
names(dim_params)))) {
stop(paste0("All '*_reorder' parameters must be associated to a dimension parameter. Found parameter '",
names(dim_reorder_params)[i], "' but no parameter '",
strsplit(names(dim_reorder_params)[i], '_reorder$')[[1]][1], "'."))
} else if (!any(grepl(paste0('^', strsplit(names(dim_reorder_params)[i],
'_reorder$')[[1]][1], '$'),
names(var_params)))) {
stop(paste0("All '*_reorder' parameters must be associated to a dimension parameter associated to a ",
"variable. Found parameter '", names(dim_reorder_params)[i], "' and dimension parameter '",
strsplit(names(dim_reorder_params)[i], '_reorder$')[[1]][1], "' but did not find variable ",
"parameter '", strsplit(names(dim_reorder_params)[i], '_reorder$')[[1]][1], "_var'."))
}
i <- i + 1
}
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# Make the keys of 'dim_reorder_params' to be the name of
# the corresponding dimension.
if (length(dim_reorder_params) < 1) {
dim_reorder_params <- NULL
} else {
names(dim_reorder_params) <- gsub('_reorder$', '', names(dim_reorder_params))
}
# Take *_tolerance parameters apart
tolerance_params_ind <- grep('_tolerance$', names(dim_params))
tolerance_params <- dim_params[tolerance_params_ind]
# Check all *_tolerance are NULL or vectors of character strings, and
# that they all have a matching dimension param.
i <- 1
for (tolerance_param in tolerance_params) {
if (!any(grepl(paste0('^', strsplit(names(tolerance_params)[i],
'_tolerance$')[[1]][1], '$'),
names(dim_params)))) {
stop(paste0("All '*_tolerance' parameters must be associated to a dimension parameter. Found parameter '",
names(tolerance_params)[i], "' but no parameter '",
strsplit(names(tolerance_params)[i], '_tolerance$')[[1]][1], "'."))
} else if (!any(grepl(paste0('^', strsplit(names(tolerance_params)[i],
'_tolerance$')[[1]][1], '$'),
names(var_params)))) {
stop(paste0("All '*_tolerance' parameters must be associated to a dimension parameter associated to a ",
"variable. Found parameter '", names(tolerance_params)[i], "' and dimension parameter '",
strsplit(names(tolerance_params)[i], '_tolerance$')[[1]][1], "' but did not find variable ",
"parameter '", strsplit(names(tolerance_params)[i], '_tolerance$')[[1]][1], "_var'."))
}
i <- i + 1
}
# Make the keys of 'tolerance_params' to be the name of
# the corresponding dimension.
if (length(tolerance_params) < 1) {
tolerance_params <- NULL
} else {
names(tolerance_params) <- gsub('_tolerance$', '', names(tolerance_params))
}
# Take *_depends parameters apart
depends_params_ind <- grep('_depends$', names(dim_params))
depends_params <- dim_params[depends_params_ind]
# Check all *_depends are NULL or vectors of character strings, and
# that they all have a matching dimension param.
i <- 1
for (depends_param in depends_params) {
if (!is.character(depends_param) || (length(depends_param) > 1)) {
stop("All '*_depends' parameters must be single character strings.")
} else if (!any(grepl(paste0('^', strsplit(names(depends_params)[i],
'_depends$')[[1]][1], '$'),
names(dim_params)))) {
stop(paste0("All '*_depends' parameters must be associated to a dimension parameter. Found parameter '",
names(depends_params)[i], "' but no parameter '",
strsplit(names(depends_params)[i], '_depends$')[[1]][1], "'."))
}
i <- i + 1
}
# Make the keys of 'depends_params' to be the name of
# the corresponding dimension.
if (length(depends_params) < 1) {
depends_params <- NULL
} else {
names(depends_params) <- gsub('_depends$', '', names(depends_params))
}
# Change name to depending_file_dims
depending_file_dims <- depends_params
# Take *_across parameters apart
across_params_ind <- grep('_across$', names(dim_params))
across_params <- dim_params[across_params_ind]
# Check all *_across are NULL or vectors of character strings, and
# that they all have a matching dimension param.
i <- 1
for (across_param in across_params) {
if (!is.character(across_param) || (length(across_param) > 1)) {
stop("All '*_across' parameters must be single character strings.")
} else if (!any(grepl(paste0('^', strsplit(names(across_params)[i],
'_across$')[[1]][1], '$'),
names(dim_params)))) {
stop(paste0("All '*_across' parameters must be associated to a dimension parameter. Found parameter '",
names(across_params)[i], "' but no parameter '",
strsplit(names(across_params)[i], '_across$')[[1]][1], "'."))
}
i <- i + 1
}
# Make the keys of 'across_params' to be the name of
# the corresponding dimension.
if (length(across_params) < 1) {
across_params <- NULL
} else {
names(across_params) <- gsub('_across$', '', names(across_params))
}
# Change name to inner_dims_across_files
inner_dims_across_files <- across_params
# Leave alone the dimension parameters in the variable dim_params
if (length(c(var_params_ind, dim_reorder_params_ind, tolerance_params_ind,
depends_params_ind, across_params_ind)) > 0) {
dim_params <- dim_params[-c(var_params_ind, dim_reorder_params_ind,
tolerance_params_ind, depends_params_ind,
across_params_ind)]
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}
dim_names <- names(dim_params)
if (is.null(dim_names)) {
stop("At least one pattern dim must be specified.")
}
# Check pattern_dims
if (is.null(pattern_dims)) {
.warning(paste0("Parameter 'pattern_dims' not specified. Taking the first dimension, '",
dim_names[1], "' as 'pattern_dims'."))
pattern_dims <- dim_names[1]
} else if (is.character(pattern_dims) && (length(pattern_dims) > 0)) {
pattern_dims <- unique(pattern_dims)
} else {
stop("Parameter 'pattern_dims' must be a vector of character strings.")
}
if (any(names(var_params) %in% pattern_dims)) {
stop("'*_var' parameters specified for pattern dimensions. Remove or fix them.")
}
# Find the pattern dimension with the pattern specifications
found_pattern_dim <- NULL
for (pattern_dim in pattern_dims) {
# Check all specifications in pattern_dim are valid
dat <- datasets <- dim_params[[pattern_dim]]
if (is.null(dat) || !(is.character(dat) && all(nchar(dat) > 0)) && !is.list(dat)) {
stop(paste0("Parameter '", pattern_dim,
"' must be a list of lists with pattern specifications or a vector of character strings."))
}
if (!is.null(dim_reorder_params[[pattern_dim]])) {
.warning(paste0("A reorder for the selectors of '", pattern_dim,
"' has been specified, but it is a pattern dimension and the reorder will be ignored."))
}
if (is.null(found_pattern_dim)) {
found_pattern_dim <- pattern_dim
} else {
stop("Found more than one pattern dim with pattern specifications (list of lists). One and only one pattern dim must contain pattern specifications.")
}
}
}
if (is.null(found_pattern_dim)) {
.warning(paste0("Could not find any pattern dim with explicit data set descriptions (in the form of list of lists). Taking the first pattern dim, '", pattern_dims[1], "', as dimension with pattern specifications."))
found_pattern_dim <- pattern_dims[1]
}
# Check metadata_dims
if (!is.null(metadata_dims)) {
if (is.na(metadata_dims)) {
metadata_dims <- NULL
} else if (!is.character(metadata_dims) || (length(metadata_dims) < 1)) {
stop("Parameter 'metadata' dims must be a vector of at least one character string.")
}
} else {
metadata_dims <- pattern_dims
}
# Once the pattern dimension with dataset specifications is found,
# the variable 'dat' is mounted with the information of each
# dataset.
dat <- datasets <- dim_params[[found_pattern_dim]]
dat_info_names <- c('name', 'path')#, 'nc_var_name', 'suffix', 'var_min', 'var_max', 'dimnames')
dat_to_fetch <- c()
dat_names <- c()
if (!is.list(dat)) {
dat <- as.list(dat)
} else {
if (!any(sapply(dat, is.list))) {
dat <- list(dat)
}
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}
for (i in 1:length(dat)) {
if (is.character(dat[[i]]) && length(dat[[i]]) == 1 && nchar(dat[[i]]) > 0) {
if (grepl('^(\\./|\\.\\./|/.*/|~/)', dat[[i]])) {
dat[[i]] <- list(path = dat[[i]])
} else {
dat[[i]] <- list(name = dat[[i]])
}
} else if (!is.list(dat[[i]])) {
stop(paste0("Parameter '", pattern_dim,
"' is incorrect. It must be a list of lists or character strings."))
}
#if (!(all(names(dat[[i]]) %in% dat_info_names))) {
# stop("Error: parameter 'dat' is incorrect. There are unrecognized components in the information of some of the datasets. Check 'dat' in ?Load for details.")
#}
if (!('name' %in% names(dat[[i]]))) {
dat[[i]][['name']] <- paste0('dat', i)
if (!('path' %in% names(dat[[i]]))) {
stop(paste0("Parameter '", found_pattern_dim,
"' is incorrect. A 'path' should be provided for each dataset if no 'name' is provided."))
}
} else if (!('path' %in% names(dat[[i]]))) {
dat_to_fetch <- c(dat_to_fetch, i)
}
#if ('path' %in% names(dat[[i]])) {
# if (!('nc_var_name' %in% names(dat[[i]]))) {
# dat[[i]][['nc_var_name']] <- '$var_name$'
# }
# if (!('suffix' %in% names(dat[[i]]))) {
# dat[[i]][['suffix']] <- ''
# }
# if (!('var_min' %in% names(dat[[i]]))) {
# dat[[i]][['var_min']] <- ''
# }
# if (!('var_max' %in% names(dat[[i]]))) {
# dat[[i]][['var_max']] <- ''
# }
#}
dat_names <- c(dat_names, dat[[i]][['name']])
}
if ((length(dat_to_fetch) > 0) && (length(dat_to_fetch) < length(dat))) {
.warning("'path' has been provided for some datasets. Any information in the configuration file related to these will be ignored.")
}
if (length(dat_to_fetch) > 0) {
stop("Specified only the name for some data sets, but not the path ",
"pattern. This option has not been yet implemented.")
}
# Reorder inner_dims_across_files (to make the keys be the file dimensions,
# and the values to be the inner dimensions that go across it).
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if (!is.null(inner_dims_across_files)) {
# Reorder: example, convert list(ftime = 'chunk', ensemble = 'member', xx = 'chunk')
# to list(chunk = c('ftime', 'xx'), member = 'ensemble')
new_idaf <- list()
for (i in names(inner_dims_across_files)) {
if (!(inner_dims_across_files[[i]] %in% names(new_idaf))) {
new_idaf[[inner_dims_across_files[[i]]]] <- i
} else {
new_idaf[[inner_dims_across_files[[i]]]] <- c(new_idaf[[inner_dims_across_files[[i]]]], i)
}
}
inner_dims_across_files <- new_idaf
}
# Check return_vars
if (is.null(return_vars)) {
return_vars <- list()
# if (length(var_params) > 0) {
# return_vars <- as.list(paste0(names(var_params), '_var'))
# } else {
# return_vars <- list()
# }
}
if (!is.list(return_vars)) {
stop("Parameter 'return_vars' must be a list or NULL.")
}
if (length(return_vars) > 0 && is.null(names(return_vars))) {
# names(return_vars) <- rep('', length(return_vars))
stop("Parameter 'return_vars' must be a named list.")
}
i <- 1
while (i <= length(return_vars)) {
# if (names(return_vars)[i] == '') {
# if (!(is.character(return_vars[[i]]) && (length(return_vars[[i]]) == 1))) {
# stop("The ", i, "th specification in 'return_vars' is malformed.")
# }
# if (!grepl('_var$', return_vars[[i]])) {
# stop("The ", i, "th specification in 'return_vars' is malformed.")
# }
# dim_name <- strsplit(return_vars[[i]], '_var$')[[1]][1]
# if (!(dim_name %in% names(var_params))) {
# stop("'", dim_name, "_var' requested in 'return_vars' but ",
# "no '", dim_name, "_var' specified in the .Load call.")
# }
# names(return_vars)[i] <- var_params[[dim_name]]
# return_vars[[i]] <- found_pattern_dim
# } else
if (length(return_vars[[i]]) > 0) {
if (!is.character(return_vars[[i]])) {
stop("The ", i, "th specification in 'return_vars' is malformed. It ",
"must be a vector of character strings of valid file dimension ",
"names.")
}
}
i <- i + 1
}
# Check synonims
if (!is.null(synonims)) {
error <- FALSE
if (!is.list(synonims)) {
error <- TRUE
}
for (synonim_entry in names(synonims)) {
if (!(synonim_entry %in% names(dim_params)) &&
!(synonim_entry %in% names(return_vars))) {
error <- TRUE
}
if (!is.character(synonims[[synonim_entry]]) ||
length(synonims[[synonim_entry]]) < 1) {
error <- TRUE
}
}
if (error) {
stop("Parameter 'synonims' must be a named list, where the names are ",
"a name of a requested dimension or variable and the values are ",
"vectors of character strings with at least one alternative name ",
" for each dimension or variable in 'synonims'.")
}
}
if (length(unique(names(synonims))) < length(names(synonims))) {
stop("There must not be repeated entries in 'synonims'.")
}
if (length(unique(unlist(synonims))) < length(unlist(synonims))) {
stop("There must not be repeated values in 'synonims'.")
}
# Make that all dims and vars have an entry in synonims, even if only dim_name = dim_name
dim_entries_to_add <- which(!(names(dim_params) %in% names(synonims)))
if (length(dim_entries_to_add) > 0) {
synonims[names(dim_params)[dim_entries_to_add]] <- as.list(names(dim_params)[dim_entries_to_add])
}
var_entries_to_add <- which(!(names(var_params) %in% names(synonims)))
if (length(var_entries_to_add) > 0) {
synonims[names(var_params)[var_entries_to_add]] <- as.list(names(var_params)[var_entries_to_add])
}
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# Check selector_checker
if (is.null(selector_checker) || !is.function(selector_checker)) {
stop("Parameter 'selector_checker' must be a function.")
}
# Check file_opener
if (is.null(file_opener) || !is.function(file_opener)) {
stop("Parameter 'file_opener' must be a function.")
}
# Check file_var_reader
if (!is.null(file_var_reader) && !is.function(file_var_reader)) {
stop("Parameter 'file_var_reader' must be a function.")
}
# Check file_dim_reader
if (!is.null(file_dim_reader) && !is.function(file_dim_reader)) {
stop("Parameter 'file_dim_reader' must be a function.")
}
# Check file_data_reader
if (is.null(file_data_reader) || !is.function(file_data_reader)) {
stop("Parameter 'file_data_reader' must be a function.")
}
# Check file_closer
if (is.null(file_closer) || !is.function(file_closer)) {
stop("Parameter 'file_closer' must be a function.")
}
# Check transform
if (!is.null(transform)) {
if (!is.function(transform)) {
stop("Parameter 'transform' must be a function.")
}
}
# Check transform_params
if (!is.null(transform_params)) {
if (!is.list(transform_params)) {
stop("Parameter 'transform_params' must be a list.")
}
if (is.null(names(transform_params))) {
stop("Parameter 'transform_params' must be a named list.")
}
}
# Check transform_vars
if (!is.null(transform_vars)) {
if (!is.character(transform_vars)) {
stop("Parameter 'transform_vars' must be a vector of character strings.")
}
}
if (any(!(transform_vars %in% names(return_vars)))) {
stop("All the variables specified in 'transform_vars' must also be specified in 'return_vars'.")
}
# Check apply_indices_after_transform
if (!is.logical(apply_indices_after_transform)) {
stop("Parameter 'apply_indices_after_transform' must be either TRUE or FALSE.")
# Check transform_extra_cells
if (!is.numeric(transform_extra_cells)) {
stop("Parameter 'transform_extra_cells' must be numeric.")
}
transform_extra_cells <- round(transform_extra_cells)
# Check explore
if (!is.logical(explore)) {
stop("Parameter 'explore' must be TRUE or FALSE.")
}
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# Check num_procs
if (!is.null(num_procs)) {
if (!is.numeric(num_procs)) {
stop("Parameter 'num_procs' must be numeric.")
} else {
num_procs <- round(num_procs)
}
}
# Check silent
if (!is.logical(silent)) {
stop("Parameter 'silent' must be logical.")
}
dim_params[[found_pattern_dim]] <- dat_names
if (!silent) {
.message(paste0("Exploring files... This will take a variable amount ",
"of time depending on the issued request and the ",
"performance of the file server..."))
}
if (!is.character(debug)) {
dims_to_check <- c('time')
} else {
dims_to_check <- debug
debug <- TRUE
}
############################## READING FILE DIMS ############################
# Check that no unrecognized variables are present in the path patterns
# and also that no file dimensions are requested to THREDDs catalogs.
# And in the mean time, build all the work pieces and look for the
# first available file of each dataset.
array_of_files_to_load <- NULL
array_of_not_found_files <- NULL
indices_of_first_files_with_data <- vector('list', length(dat))
selectors_of_first_files_with_data <- vector('list', length(dat))
found_file_dims <- vector('list', length(dat))
expected_inner_dims <- vector('list', length(dat))
dataset_has_files <- rep(FALSE, length(dat))
#print("A")
for (i in 1:length(dat)) {
#print("B")
dat_selectors <- dim_params
dat_selectors[[found_pattern_dim]] <- dat_selectors[[found_pattern_dim]][i]
dim_vars <- paste0('$', dim_names, '$')
file_dims <- which(sapply(dim_vars, grepl, dat[[i]][['path']], fixed = TRUE))
if (length(file_dims) > 0) {
file_dims <- dim_names[file_dims]
}
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file_dims <- unique(c(pattern_dims, file_dims))
found_file_dims[[i]] <- file_dims
expected_inner_dims[[i]] <- dim_names[which(!(dim_names %in% file_dims))]
# (Check the depending_file_dims).
if (any(c(names(depending_file_dims), unlist(depending_file_dims)) %in%
expected_inner_dims[[i]])) {
stop(paste0("The dimension dependancies specified in ",
"'depending_file_dims' can only be between file ",
"dimensions, but some inner dimensions found in ",
"dependancies for '", dat[[i]][['name']], "', which ",
"has the following file dimensions: ",
paste(paste0("'", file_dims, "'"), collapse = ', '), "."))
} else {
a <- names(depending_file_dims) %in% file_dims
b <- unlist(depending_file_dims) %in% file_dims
ab <- a & b
if (any(!ab)) {
.warning("Detected some dependancies in 'depending_file_dims' with ",
"non-existing dimension names. These will be disregarded.")
depending_file_dims <- depending_file_dims[-which(!ab)]
}
if (any(names(depending_file_dims) == unlist(depending_file_dims))) {
depending_file_dims <- depending_file_dims[-which(names(depending_file_dims) == unlist(depending_file_dims))]
}
}
# (Check the inner_dims_across_files).
if (any(!(names(inner_dims_across_files) %in% file_dims)) ||
any(!(unlist(inner_dims_across_files) %in% expected_inner_dims[[i]]))) {
stop(paste0("All relationships specified in ",
"'inner_dims_across_files' must be between a inner ",
"dimension and a file dimension. Found wrong ",
"specification for '", dat[[i]][['name']], "', which ",
"has the following file dimensions: ",
paste(paste0("'", file_dims, "'"), collapse = ', '),
", and the following inner dimensions: ",
paste(paste0("'", expected_inner_dims[[i]], "'"),
collapse = ', '), "."))
}
# (Check the return_vars).
j <- 1
while (j <= length(return_vars)) {
if (any(!(return_vars[[j]] %in% file_dims))) {
if (any(return_vars[[j]] %in% expected_inner_dims[[i]])) {
stop("Found variables in 'return_vars' requested ",
"for some inner dimensions (for dataset '",
dat[[i]][['name']], "'), but variables can only be ",
"requested for file dimensions.")
} else {
stop("Found variables in 'return_vars' requested ",
"for non-existing dimensions.")
}
}
j <- j + 1
}
if (!is.null(metadata_dims)) {
if (any(!(metadata_dims %in% file_dims))) {
stop("All dimensions in 'metadata_dims' must be file dimensions.")
}
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# (Check the *_var parameters).
if (any(!(unlist(var_params) %in% names(return_vars)))) {
stop("All '*_var' params must associate a dimension to one of the ",
"requested variables in 'return_vars'.")
}
# # (Check the circular_dims parameters).
# if (!all(names(circular_dims) %in% expected_inner_dims[[i]])) {
# stop("Only inner dimensions can be requested as 'circular_dims'.")
# }
replace_values <- vector('list', length = length(file_dims))
names(replace_values) <- file_dims
# Take the first selector for all possible file dimensions
for (file_dim in file_dims) {
if (file_dim %in% names(var_params)) {
.warning(paste0("The '", file_dim, "_var' param will be ignored since '",
file_dim, "' is a file dimension (for the dataset with pattern ",
dat[[i]][['path']], ")."))
}
if (!is.list(dat_selectors[[file_dim]]) ||
(is.list(dat_selectors[[file_dim]]) &&
length(dat_selectors[[file_dim]]) == 2 &&
is.null(names(dat_selectors[[file_dim]])))) {
dat_selectors[[file_dim]] <- list(dat_selectors[[file_dim]])
}
first_class <- class(dat_selectors[[file_dim]][[1]])
first_length <- length(dat_selectors[[file_dim]][[1]])
for (j in 1:length(dat_selectors[[file_dim]])) {
sv <- selector_vector <- dat_selectors[[file_dim]][[j]]
if (!identical(first_class, class(sv)) ||
!identical(first_length, length(sv))) {
stop("All provided selectors for depending dimensions must ",
"be vectors of the same length and of the same class.")
}
if (is.character(sv) && !((length(sv) == 1) && (sv[1] %in% c('all', 'first', 'last')))) {
dat_selectors[[file_dim]][[j]] <- selector_checker(selectors = sv,
return_indices = FALSE)
} else if (!(is.numeric(sv) ||
(is.character(sv) && (length(sv) == 1) && (sv %in% c('all', 'first', 'last'))) ||
(is.list(sv) && (length(sv) == 2) && (all(sapply(sv, is.character)) ||
all(sapply(sv, is.numeric)))))) {
stop("All explicitly provided selectors for file dimensions must be character strings.")
}
}
sv <- dat_selectors[[file_dim]][[1]]
if (is.character(sv) && !((length(sv) == 1) && (sv[1] %in% c('all', 'first', 'last')))) {
replace_values[[file_dim]] <- dat_selectors[[file_dim]][[1]][1]
}
}
#print("C")
# Now we know which dimensions whose selectors are provided non-explicitly.
undefined_file_dims <- file_dims[which(sapply(replace_values, is.null))]
defined_file_dims <- file_dims[which(!(file_dims %in% undefined_file_dims))]
# Quickly check if the depending dimensions are provided properly.
for (file_dim in file_dims) {
if (file_dim %in% names(depending_file_dims)) {
## TODO: Detect multi-dependancies and forbid.
if (all(c(file_dim, depending_file_dims[[file_dim]]) %in% defined_file_dims)) {
if (length(dat_selectors[[file_dim]]) != length(dat_selectors[[depending_file_dims[[file_dim]]]][[1]])) {
stop(paste0("If providing selectors for the depending ",
"dimension '", file_dim, "', a ",
"vector of selectors must be provided for ",
"each selector of the dimension it depends on, '",
depending_file_dims[[file_dim]], "'."))
} else if (!all(names(dat_selectors[[file_dim]]) == dat_selectors[[depending_file_dims[[file_dim]]]][[1]])) {
stop(paste0("If providing selectors for the depending ",
"dimension '", file_dim, "', the name of the ",
"provided vectors of selectors must match ",
"exactly the selectors of the dimension it ",
"depends on, '", depending_file_dims[[file_dim]], "'."))
}
}
}
}
# Find the possible values for the selectors that are provided as
# indices. If the requested file is on server, impossible operation.
if (length(grep("^http", dat[[i]][['path']])) > 0) {
if (length(undefined_file_dims) > 0) {
stop(paste0("All selectors for the file dimensions must be ",
"character strings if requesting data to a remote ",
"server. Found invalid selectors for the file dimensions ",
paste(paste0("'", undefined_file_dims, "'"), collapse = ', '), "."))
}
dataset_has_files[i] <- TRUE
} else {
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# Iterate over the known dimensions to find the first existing file.
# The path to the first existing file will be used to find the
# values for the non explicitly defined selectors.
first_file <- NULL
first_file_selectors <- NULL
if (length(undefined_file_dims) > 0) {
replace_values[undefined_file_dims] <- '*'
}
## TODO: What if length of defined_file_dims is 0? code might crash (in practice it worked for an example case)
files_to_check <- sapply(dat_selectors[defined_file_dims], function(x) length(x[[1]]))
sub_array_of_files_to_check <- array(1:prod(files_to_check), dim = files_to_check)
j <- 1
#print("D")
while (j <= prod(files_to_check) && is.null(first_file)) {
selector_indices <- which(sub_array_of_files_to_check == j, arr.ind = TRUE)[1, ]
selectors <- sapply(1:length(defined_file_dims),
function (x) {
vector_to_pick <- 1
if (defined_file_dims[x] %in% names(depending_file_dims)) {
vector_to_pick <- selector_indices[which(defined_file_dims == depending_file_dims[[defined_file_dims[x]]])]
}
dat_selectors[defined_file_dims][[x]][[vector_to_pick]][selector_indices[x]]
})
replace_values[defined_file_dims] <- selectors
file_path <- .ReplaceVariablesInString(dat[[i]][['path']], replace_values)
file_path <- Sys.glob(file_path)
if (length(file_path) > 0) {
first_file <- file_path[1]
first_file_selectors <- selectors
}
j <- j + 1
}
#print("E")
# Start looking for values for the non-explicitly defined selectors.
if (is.null(first_file)) {
.warning(paste0("No found files for the datset '", dat[[i]][['name']],
"'. Provide existing selectors for the file dimensions ",
" or check and correct its path pattern: ", dat[[i]][['path']]))
} else {
dataset_has_files[i] <- TRUE
## TODO: Improve message here if no variable found:
if (length(undefined_file_dims) > 0) {
# Looking for the first values, parsed from first_file.
first_values <- vector('list', length = length(undefined_file_dims))
names(first_values) <- undefined_file_dims
found_values <- 0
stop <- FALSE
try_dim <- 1
last_success <- 1
while ((found_values < length(undefined_file_dims)) && !stop) {
u_file_dim <- undefined_file_dims[try_dim]
if (is.null(first_values[[u_file_dim]])) {
path_with_globs_and_tag <- .ReplaceVariablesInString(dat[[i]][['path']],
replace_values[-which(file_dims == u_file_dim)],
allow_undefined_key_vars = TRUE)
found_value <- .FindTagValue(path_with_globs_and_tag,
first_file, u_file_dim)
if (!is.null(found_value)) {
found_values <- found_values + 1
last_success <- try_dim
first_values[[u_file_dim]] <- found_value
replace_values[[u_file_dim]] <- found_value
}
}
try_dim <- (try_dim %% length(undefined_file_dims)) + 1
if (try_dim == last_success) {
stop <- TRUE
}
}
if (found_values < length(undefined_file_dims)) {
stop(paste0("Path pattern of dataset '", dat[[i]][['name']],
"' is too complex. Could not automatically ",
"detect values for all non-explicitly defined ",
"indices. Check its pattern: ", dat[[i]][['path']]))
}
## TODO: Replace ReplaceGlobExpressions by looped call to FindTagValue? As done above
## Maybe it can solve more cases actually. I got warnings in ReplGlobExp with a typical
## cmor case, requesting all members and chunks for fixed var and sdate. Not fixing
## sdate raised 'too complex' error.
# Replace shell globs in path pattern and keep the file_dims as tags
dat[[i]][['path']] <- .ReplaceGlobExpressions(dat[[i]][['path']], first_file, replace_values,
file_dims, dat[[i]][['name']], FALSE)
# Now time to look for the available values for the non
# explicitly defined selectors for the file dimensions.
#print("H")
# Check first the ones that do not depend on others.
ufd <- c(undefined_file_dims[which(!(undefined_file_dims %in% names(depending_file_dims)))],
undefined_file_dims[which(undefined_file_dims %in% names(depending_file_dims))])
for (u_file_dim in ufd) {
replace_values[undefined_file_dims] <- first_values
replace_values[[u_file_dim]] <- '*'
depended_dim <- NULL
depended_dim_values <- NA
selectors <- dat_selectors[[u_file_dim]][[1]]
if (u_file_dim %in% names(depending_file_dims)) {
depended_dim <- depending_file_dims[[u_file_dim]]
depended_dim_values <- dat_selectors[[depended_dim]][[1]]
dat_selectors[[u_file_dim]] <- vector('list', length = length(depended_dim_values))
names(dat_selectors[[u_file_dim]]) <- depended_dim_values
} else {
dat_selectors[[u_file_dim]] <- list()
}
if (u_file_dim %in% unlist(depending_file_dims)) {
depending_dims <- names(depending_file_dims)[which(sapply(depending_file_dims, function(x) u_file_dim %in% x))]
replace_values[depending_dims] <- rep('*', length(depending_dims))
}
for (j in 1:length(depended_dim_values)) {
parsed_values <- c()
if (!is.null(depended_dim)) {
replace_values[[depended_dim]] <- depended_dim_values[j]
}
path_with_globs <- .ReplaceVariablesInString(dat[[i]][['path']], replace_values)
found_files <- Sys.glob(path_with_globs)
## TODO: Enhance this error message, or change by warning.
## Raises if a wrong sdate is specified, for example.
if (length(found_files) == 0) {
.warning(paste0("Could not find files for any '", u_file_dim,
"' for '", depended_dim, "' = '",
depended_dim_values[j], "'."))
dat_selectors[[u_file_dim]][[j]] <- NA
} else {
for (found_file in found_files) {
path_with_globs_and_tag <- .ReplaceVariablesInString(dat[[i]][['path']],
replace_values[-which(file_dims == u_file_dim)],
allow_undefined_key_vars = TRUE)
parsed_values <- c(parsed_values,
.FindTagValue(path_with_globs_and_tag, found_file,
u_file_dim))
}
dat_selectors[[u_file_dim]][[j]] <- selector_checker(selectors = selectors,
var = unique(parsed_values),
return_indices = FALSE)
}
}
}
#print("I")
} else {
dat[[i]][['path']] <- .ReplaceGlobExpressions(dat[[i]][['path']], first_file, replace_values,
defined_file_dims, dat[[i]][['name']], FALSE)
}
}
}
# Now fetch for the first available file
if (dataset_has_files[i]) {
known_dims <- file_dims
} else {
known_dims <- defined_file_dims
}
replace_values <- vector('list', length = length(known_dims))
names(replace_values) <- known_dims
files_to_load <- sapply(dat_selectors[known_dims], function(x) length(x[[1]]))
files_to_load[found_pattern_dim] <- 1
sub_array_of_files_to_load <- array(1:prod(files_to_load),
dim = files_to_load)
names(dim(sub_array_of_files_to_load)) <- known_dims
sub_array_of_not_found_files <- array(!dataset_has_files[i],
dim = files_to_load)
names(dim(sub_array_of_not_found_files)) <- known_dims
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j <- 1
while (j <= prod(files_to_load)) {
selector_indices <- which(sub_array_of_files_to_load == j, arr.ind = TRUE)[1, ]
names(selector_indices) <- known_dims
selectors <- sapply(1:length(known_dims),
function (x) {
vector_to_pick <- 1
if (known_dims[x] %in% names(depending_file_dims)) {
vector_to_pick <- selector_indices[which(known_dims == depending_file_dims[[known_dims[x]]])]
}
dat_selectors[known_dims][[x]][[vector_to_pick]][selector_indices[x]]
})
names(selectors) <- known_dims
replace_values[known_dims] <- selectors
if (!dataset_has_files[i]) {
if (any(is.na(selectors))) {
replace_values <- replace_values[-which(names(replace_values) %in% names(selectors[which(is.na(selectors))]))]
}
file_path <- .ReplaceVariablesInString(dat[[i]][['path']], replace_values, TRUE)
sub_array_of_files_to_load[j] <- file_path
} else {
if (any(is.na(selectors))) {
replace_values <- replace_values[-which(names(replace_values) %in% names(selectors[which(is.na(selectors))]))]
file_path <- .ReplaceVariablesInString(dat[[i]][['path']], replace_values, TRUE)
sub_array_of_files_to_load[j] <- file_path
sub_array_of_not_found_files[j] <- TRUE
} else {
file_path <- .ReplaceVariablesInString(dat[[i]][['path']], replace_values)
sub_array_of_files_to_load[j] <- file_path
if (is.null(indices_of_first_files_with_data[[i]])) {
if (!(length(grep("^http", file_path)) > 0)) {
if (!file.exists(file_path)) {
file_path <- NULL
}
}
if (!is.null(file_path)) {
test_file <- NULL
## TODO: suppress error messages
test_file <- file_opener(file_path)
if (!is.null(test_file)) {
selector_indices[which(known_dims == found_pattern_dim)] <- i
indices_of_first_files_with_data[[i]] <- selector_indices
selectors_of_first_files_with_data[[i]] <- selectors
file_closer(test_file)
}
}
}
}
}
j <- j + 1
}
# Extend array as needed progressively
if (is.null(array_of_files_to_load)) {
array_of_files_to_load <- sub_array_of_files_to_load
array_of_not_found_files <- sub_array_of_not_found_files
} else {
array_of_files_to_load <- .MergeArrays(array_of_files_to_load, sub_array_of_files_to_load,
along = found_pattern_dim)
## TODO: file_dims, and variables like that.. are still ok now? I don't think so
array_of_not_found_files <- .MergeArrays(array_of_not_found_files, sub_array_of_not_found_files,
along = found_pattern_dim)
}
dat[[i]][['selectors']] <- dat_selectors
}
if (all(sapply(indices_of_first_files_with_data, is.null))) {
stop("No data files found for any of the specified datasets.")
}
########################### READING INNER DIMS. #############################
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#print("J")
## TODO: To be run in parallel (local multi-core)
# Now time to work out the inner file dimensions.
# First pick the requested variables.
dims_to_iterate <- NULL
for (return_var in names(return_vars)) {
dims_to_iterate <- unique(c(dims_to_iterate, return_vars[[return_var]]))
}
if (found_pattern_dim %in% dims_to_iterate) {
dims_to_iterate <- dims_to_iterate[-which(dims_to_iterate == found_pattern_dim)]
}
common_return_vars <- NULL
common_first_found_file <- NULL
common_return_vars_pos <- NULL
if (length(return_vars) > 0) {
common_return_vars_pos <- which(sapply(return_vars, function(x) !(found_pattern_dim %in% x)))
}
if (length(common_return_vars_pos) > 0) {
common_return_vars <- return_vars[common_return_vars_pos]
return_vars <- return_vars[-common_return_vars_pos]
common_first_found_file <- rep(FALSE, length(which(sapply(common_return_vars, length) == 0)))
names(common_first_found_file) <- names(common_return_vars[which(sapply(common_return_vars, length) == 0)])
}
return_vars <- lapply(return_vars,
function(x) {
if (found_pattern_dim %in% x) {
x[-which(x == found_pattern_dim)]
} else {
x
}
})
if (length(common_return_vars) > 0) {
picked_common_vars <- vector('list', length = length(common_return_vars))
names(picked_common_vars) <- names(common_return_vars)
} else {
picked_common_vars <- NULL
}
picked_common_vars_ordered <- picked_common_vars
picked_common_vars_unorder_indices <- picked_common_vars
picked_vars <- vector('list', length = length(dat))
names(picked_vars) <- dat_names
picked_vars_ordered <- picked_vars
picked_vars_unorder_indices <- picked_vars
for (i in 1:length(dat)) {
if (dataset_has_files[i]) {
# Put all selectors in a list of a single list/vector of selectors.
# The dimensions that go across files will later be extended to have
# lists of lists/vectors of selectors.
for (inner_dim in expected_inner_dims[[i]]) {
if (!is.list(dat[[i]][['selectors']][[inner_dim]]) ||
(is.list(dat[[i]][['selectors']][[inner_dim]]) &&
length(dat[[i]][['selectors']][[inner_dim]]) == 2 &&
is.null(names(dat[[i]][['selectors']][[inner_dim]])))) {
dat[[i]][['selectors']][[inner_dim]] <- list(dat[[i]][['selectors']][[inner_dim]])
}
}
if (length(return_vars) > 0) {
picked_vars[[i]] <- vector('list', length = length(return_vars))
names(picked_vars[[i]]) <- names(return_vars)
picked_vars_ordered[[i]] <- picked_vars[[i]]
picked_vars_unorder_indices[[i]] <- picked_vars[[i]]
}
indices_of_first_file <- as.list(indices_of_first_files_with_data[[i]])
array_file_dims <- sapply(dat[[i]][['selectors']][found_file_dims[[i]]], function(x) length(x[[1]]))
names(array_file_dims) <- found_file_dims[[i]]
if (length(dims_to_iterate) > 0) {
indices_of_first_file[dims_to_iterate] <- lapply(array_file_dims[dims_to_iterate], function(x) 1:x)
}
array_of_var_files <- do.call('[', c(list(x = array_of_files_to_load), indices_of_first_file, list(drop = FALSE)))
array_of_var_indices <- array(1:length(array_of_var_files), dim = dim(array_of_var_files))
array_of_not_found_var_files <- do.call('[', c(list(x = array_of_not_found_files), indices_of_first_file, list(drop = FALSE)))
previous_indices <- rep(-1, length(indices_of_first_file))
names(previous_indices) <- names(indices_of_first_file)
first_found_file <- NULL
if (length(return_vars) > 0) {
first_found_file <- rep(FALSE, length(which(sapply(return_vars, length) == 0)))
names(first_found_file) <- names(return_vars[which(sapply(return_vars, length) == 0)])
}
for (j in 1:length(array_of_var_files)) {
current_indices <- which(array_of_var_indices == j, arr.ind = TRUE)[1, ]
names(current_indices) <- names(indices_of_first_file)
if (!is.na(array_of_var_files[j]) && !array_of_not_found_var_files[j]) {
changed_dims <- which(current_indices != previous_indices)
vars_to_read <- NULL
if (length(return_vars) > 0) {
vars_to_read <- names(return_vars)[sapply(return_vars, function(x) any(names(changed_dims) %in% x))]
}
if (!is.null(first_found_file)) {
if (any(!first_found_file)) {
vars_to_read <- c(vars_to_read, names(first_found_file[which(!first_found_file)]))
}
}
if ((i == 1) && (length(common_return_vars) > 0)) {
vars_to_read <- c(vars_to_read, names(common_return_vars)[sapply(common_return_vars, function(x) any(names(changed_dims) %in% x))])
}
if (!is.null(common_first_found_file)) {
if (any(!common_first_found_file)) {
vars_to_read <- c(vars_to_read, names(common_first_found_file[which(!common_first_found_file)]))
}
}
file_object <- file_opener(array_of_var_files[j])
if (!is.null(file_object)) {
for (var_to_read in vars_to_read) {
if (var_to_read %in% unlist(var_params)) {
associated_dim_name <- names(var_params)[which(unlist(var_params) == var_to_read)]
var_name_to_reader <- var_to_read