snowcrab_tacs = function() {
tacs = snowcrab_historical_data()[, c("yr", "cfa", "nlicences", "tac.tons") ]
# 2004 seems to be missing
tac = tacs[tacs$yr < 2005, ]
# this needs to go into a database .. TODO
# copied by had from old docs
tacs = rbind( tacs,
c(2005, "cfa4x", 9, 337.6),
c(2006, "cfa4x", 9, 337.6),
c(2007, "cfa4x", 9, 230),
c(2008, "cfa4x", 9, 230),
c(2009, "cfa4x", 9, 230),
c(2010, "cfa4x", 9, 346),
c(2011, "cfa4x", 9, 346),
c(2012, "cfa4x", 9, 263),
c(2013, "cfa4x", 9, 80),
c(2014, "cfa4x", 9, 80),
c(2015, "cfa4x", 9, 150),
c(2016, "cfa4x", 9, 80),
c(2017, "cfa4x", 9, 110),
c(2018, "cfa4x", 9, 0),
c(2019, "cfa4x", 9, 55),
c(2005, "cfanorth", 78, 566),
c(2006, "cfanorth", 78, 487),
c(2007, "cfanorth", 78, 244),
c(2008, "cfanorth", 78, 244),
c(2009, "cfanorth", 78, 576),
c(2010, "cfanorth", 78, 576),
c(2011, "cfanorth", 78, 534),
c(2012, "cfanorth", 78, 603),
c(2013, "cfanorth", 78, 783),
c(2014, "cfanorth", 78, 783),
c(2015, "cfanorth", 78, 620),
c(2016, "cfanorth", 78, 286),
c(2017, "cfanorth", 78, 825),
c(2018, "cfanorth", 78, 786),
c(2019, "cfanorth", 78, 631),
c(2005, "cfasouth", 114, 6353),
c(2006, "cfasouth", 114, 4510),
c(2007, "cfasouth", 115, 4950),
c(2008, "cfasouth", 115, 8316),
c(2009, "cfasouth", 116, 10800),
c(2010, "cfasouth", 116, 13200),
c(2011, "cfasouth", 116, 12120),
c(2012, "cfasouth", 116, 11707),
c(2013, "cfasouth", 116, 11311),
c(2014, "cfasouth", 116, 11311),
c(2015, "cfasouth", 116, 11311),
c(2016, "cfasouth", 116, 9614),
c(2017, "cfasouth", 116, 6730),
c(2018, "cfasouth", 116, 6057),
c(2019, "cfasouth", 116, 6663)
)
#
# LEAVE THESE FOR AWHILE IN CASE OF ERRORS
tac.db = CA.getTable("TAC")
# temp fix -- this whole approach needs to be cleaned up .
tac.fix = rbind(
cbind(yr=2023, area="cfanorth", tac=0 ),
cbind(yr=2023, area="cfasouth", tac=0 ),
cbind(yr=2023, area="cfa4x", tac=0 )
)
tac.db = rbind(tac.db, tac.fix )
tac.db$area[which(grepl(23, tac.db$area) | grepl(24, tac.db$area) | grepl(23, tac.db$area))] = "cfasouth"
tac.db$area[which(grepl("4X", tac.db$area))] = "cfa4x"
tac.db$area[which(grepl("N-ENS", tac.db$area))] = "cfanorth"
setDT(tac.db)
tac.db = tac.db[, .(tac=sum( as.numeric(tac), na.rm=TRUE)), by=.(area, yr) ]
tac.db$yr = as.numeric( tac.db$yr )
lic.db = CA.getTable("NumLicense")
setDT(lic.db)
lic.db$yr = as.numeric(lic.db$yr )
lic.db$count = as.numeric(lic.db$count )
lic.db$cfa = gsub(" ", "", lic.db$cfa )
names(lic.db) = c("yr", "area", "count")
tacs.new = merge(lic.db, tac.db, all.y=T)
tacs.new = tacs.new[, c("yr", "area", "count", "tac")]
names(tacs.new) = names(tacs)
tacs.new$yr = as.character(tacs.new$yr)
tacs = tacs[ -which(tacs$yr %in% unique(tacs.new$yr)), ]
tacs = rbind(tacs, tacs.new)
names(tacs) =c("yr", "region", "Licenses", "TAC")
tacs$yr = as.numeric(tacs$yr)
tacs$Licenses = as.numeric(tacs$Licenses)
tacs$TAC = as.numeric(tacs$TAC)
# override -- for 2022 until fixed in CA tables
# look: https://inter-j01.dfo-mpo.gc.ca/mqr/quotareports
tacs$TAC[which(tacs$yr==2022 & tacs$region=="cfanorth")] = 979.9
tacs$TAC[which(tacs$yr==2022 & tacs$region=="cfasouth")] = 7345
tacs$TAC[which(tacs$yr==2022 & tacs$region=="cfa4x")] = 125
# correct
tacs$TAC[which(tacs$yr==2023 & tacs$region=="cfanorth")] = 978.75
tacs$TAC[which(tacs$yr==2023 & tacs$region=="cfasouth")] = (3972.9 + 3372.12)
tacs$TAC[which(tacs$yr==2023 & tacs$region=="cfa4x")] = 55
message( "The function snowcrab_tacs.R needs a complete re-write .. there are too many manual fixes.")
return(tacs)
}
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