--- /dev/null
+convert_32kEDF = function(orig_csv, nb_series_per_chunk)
+{
+ datetimes = #...TODO: all 3 years? year-by-year is better
+ orig_con = file(orig_csv, open="r") #2009, 2010 or 2011
+ ignored = readLines(orig_con, 1) #skip header
+ serie_length = length(datetimes) #around 365*24*2 = 17520
+ sep = if (year==2009) "," else if (year==2010) ";" else ";"
+
+scan(orig_con, character(), sep=",", nlines=1, quiet=TRUE)
+ library(sqldf, quietly=TRUE)
+ ids = read.csv.sql(file_csv, header = TRUE, sep = ","
+ sql = "select * from file_csv group by FK_CCU_ID")
+ index = 0
+ repeat
+ {
+ if (index+1 >= length(ids))
+ break
+ request = "select CPP_DATE_PUISSANCE,CPP_PUISSANCE_BRUTE where FK_CCU_ID in ("
+ for (id in ids[index + seq_len(nb_series_per_chunk)])
+ request = paste(request, id, ",", sep="")
+ request = paste(request, ") order by FK_CCU_ID,CPP_DATE_PUISSANCE", sep="")
+ series_chunk = read.csv.sql(file_csv, header = TRUE, sep = ",", sql = request)
+
+ index = index + 17520