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Refactor met.process and dbfiles #3319

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Sep 21, 2024
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f9a0cff
Refactor met.process.R to correctly handle standerdized_result
Sweetdevil144 Jun 26, 2024
dd53e34
Remove ucommented sections and replace NULL declarations with c()
Sweetdevil144 Jun 27, 2024
2a9e286
Revert to default NULL instead of c()
Sweetdevil144 Jun 28, 2024
45a7019
Merge branch 'PecanProject:develop' into convert-input
Sweetdevil144 Jun 28, 2024
7214403
Add small modification to dbfiles.R
Sweetdevil144 Jun 28, 2024
a61d38e
Fix 'return' mistake in dbfiles.R
Sweetdevil144 Jun 28, 2024
3509396
Merge branch 'PecanProject:develop' into convert-input
Sweetdevil144 Jul 9, 2024
da6955a
Omit return Type
Sweetdevil144 Jul 10, 2024
36b661a
Merge branch 'develop' into convert-input
Sweetdevil144 Jul 11, 2024
3eddf58
Update return statement in dbfiles.R
Sweetdevil144 Jul 11, 2024
3314842
Merge branch 'PecanProject:develop' into convert-input
Sweetdevil144 Jul 13, 2024
afaf73f
Update invisible statements to `return` after execution
Sweetdevil144 Jul 13, 2024
0b3d0c4
refactor return statements
Sweetdevil144 Jul 13, 2024
e36396f
Merge branch 'develop' into convert-input
Sweetdevil144 Jul 13, 2024
978309a
Merge branch 'develop' into convert-input
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f665ed8
Merge branch 'PecanProject:develop' into convert-input
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Sweetdevil144 Aug 16, 2024
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Merge branch 'develop' into convert-input
Sweetdevil144 Aug 28, 2024
4f9320e
Update base/db/R/dbfiles.R
Sweetdevil144 Aug 30, 2024
e9367b5
Apply suggestions from code review
Sweetdevil144 Aug 30, 2024
3ff0eb3
Apply standardization changes
Sweetdevil144 Aug 30, 2024
7ff5dce
Merge branch 'develop' into convert-input
Sweetdevil144 Aug 31, 2024
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Merge branch 'develop' into convert-input
infotroph Sep 21, 2024
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8 changes: 4 additions & 4 deletions base/db/R/dbfiles.R
Original file line number Diff line number Diff line change
Expand Up @@ -251,13 +251,13 @@ dbfile.input.check <- function(siteid, startdate = NULL, enddate = NULL, mimetyp
formatid <- get.id(table = "formats", colnames = c("mimetype_id", "name"), values = c(mimetypeid, formatname), con = con)

if (is.null(formatid)) {
invisible(data.frame())
return (invisible(data.frame()))
}

# setup parent part of query if specified
if (is.na(parentid)) {
parent <- ""
} else {
parent <- ""

if (!is.na(parentid)) {
parent <- paste0(" AND parent_id=", parentid)
}
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19 changes: 12 additions & 7 deletions modules/data.atmosphere/R/met.process.R
Original file line number Diff line number Diff line change
Expand Up @@ -282,7 +282,9 @@ met.process <- function(site, input_met, start_date, end_date, model,
# Change to Site Level - Standardized Met (i.e. ready for conversion to model specific format)
if (stage$standardize) {
standardize_result <- list()

is_standardized <- FALSE
ready.id <- list(input.id = NULL, dbfile.id = NULL)

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for (i in seq_along(cf.id[[1]])) {

if (register$scale == "regional") {
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Expand All @@ -301,6 +303,7 @@ met.process <- function(site, input_met, start_date, end_date, model,
host = host,
overwrite = overwrite$standardize)
# Expand to support ensemble names in the future
is_standardized <- TRUE
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} else if (register$scale == "site") {
##### Site Level Processing
standardize_result[[i]] <- .metgapfill.module(cf.id = list(input.id = cf.id$input.id[i], dbfile.id = cf.id$dbfile.id[i]),
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Expand All @@ -314,15 +317,17 @@ met.process <- function(site, input_met, start_date, end_date, model,
host = host,
overwrite = overwrite$standardize,
ensemble_name = i)
is_standardized <- TRUE
} else {
is_standardized <- FALSE
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}

if(is_standardized) {
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I think this changes behavior: previously ready.id would have an entry for each id whether it was standardized or not; this only adds the ids that were standardized. Is that intentional?

(As currently implemented I think ids not standardized would probably have errored out earlier, but this step should not rely on that)

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I've implemented a NA appending too to make sure to append even when we have face a !is_standardized condition. The initial though process I had was whether it would be wise pass the input.id's to .met2model.module and later on to convert_input if we have not standardised our results. Although it seems I failed and ignored the order in array at check which may change the results.

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@Sweetdevil144 Sweetdevil144 Jul 31, 2024

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@infotroph Can you take a look into this?

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@Sweetdevil144 I was wrong above about the existing behavior -- In the current code standardize_result has an entry for each id, but it is NULL for ids not standardized and therefore gets silently dropped when appending to ready.id. I don't know how advisable that is, but I bet downstream code relies on it.

I'll suggest changes here that eliminate the second for-loop but keep the original behavior -- please edit further if you see problems I missed.

ready.id$input.id <- c(ready.id$input.id, standardize_result[[i]]$input.id)
ready.id$dbfile.id <- c(ready.id$dbfile.id, standardize_result[[i]]$dbfile.id)
}

} # End for loop
ready.id <- list(input.id = NULL, dbfile.id = NULL)

for (i in seq_along(standardize_result)) {
ready.id$input.id <- c(ready.id$input.id, standardize_result[[i]]$input.id)
ready.id$dbfile.id <- c(ready.id$dbfile.id, standardize_result[[i]]$dbfile.id)
}

} else {
ready.id <- input_met$id
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