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93_DbRep: contrib 8.51.3

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git-svn-id: https://svn.fhem.de/fhem/trunk@27095 2b470e98-0d58-463d-a4d8-8e2adae1ed80
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nasseeder1 2023-01-21 13:47:53 +00:00
parent 20f7a66bb6
commit 87086cc6a8
1 changed files with 151 additions and 128 deletions
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279
fhem/contrib/DS_Starter/93_DbRep.pm
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@ -403,6 +403,13 @@ my %dbrep_hmainf = (
changeValue => { fn => "DbRep_changeVal", fndone => "DbRep_changeDone", fnabort => "DbRep_ParseAborted", pk => "RUNNING_PID", timeset => 1, dobp => 1, table => "history", renmode => "changeval" },
);
my %dbrep_havgfn = ( # Schemafunktionen von averageValue
avgArithmeticMean => { fn => \&_DbRep_avgArithmeticMean },
avgDailyMeanGWS => { fn => \&_DbRep_avgDailyMeanGWS },
avgDailyMeanGWSwithGTS => { fn => \&_DbRep_avgDailyMeanGWS },
avgTimeWeightMean => { fn => \&_DbRep_avgTimeWeightMean },
);
# Variablendefinitionen
my %dbrep_col = ("DEVICE" => 64, "READING" => 64, ); # Standard Feldbreiten falls noch nicht getInitData ausgeführt
@ -3255,26 +3262,23 @@ sub DbRep_averval {
my $ts = $paref->{ts};
my $bst = [gettimeofday]; # Background-Startzeit
my $acf = AttrVal($name, "averageCalcForm", "avgArithmeticMean"); # Festlegung Berechnungsschema f. Mittelwert
my $acf = AttrVal ($name, 'averageCalcForm', 'avgArithmeticMean'); # Festlegung Berechnungsschema f. Mittelwert
my $qlf = "avg";
my ($gts,$gtsstr) = (0, q{}); # Variablen für Grünlandtemperatursumme GTS
my ($sql,$sth,$selspec,$addon,$gtsreached, $bin_end, $val1);
my ($gts, $gtsstr) = (0, q{}); # Variablen für Grünlandtemperatursumme GTS
my ($err,$dbh,$dbmodel) = DbRep_dbConnect($name, 0);
return "$name|$err" if ($err);
no warnings 'uninitialized';
my ($IsTimeSet,$IsAggrSet) = DbRep_checktimeaggr($hash); # ist Zeiteingrenzung und/oder Aggregation gesetzt ? (wenn ja -> "?" in SQL sonst undef)
my @ts = split "\\|", $ts; # Timestampstring to Array
$paref->{qlf} = $qlf;
$paref->{tsaref} = \@ts;
$paref->{dbmodel} = $dbmodel;
$paref->{IsTimeSet} = $IsTimeSet;
$paref->{IsAggrSet} = $IsAggrSet;
$paref->{dbh} = $dbh;
$paref->{qlf} = $qlf;
$paref->{tsaref} = \@ts;
$paref->{dbmodel} = $dbmodel;
$paref->{IsTimeSet} = $IsTimeSet;
$paref->{IsAggrSet} = $IsAggrSet;
$paref->{dbh} = $dbh;
Log3 ($name, 4, "DbRep $name - averageValue calculation sceme: ".$acf);
Log3 ($name, 5, "DbRep $name - IsTimeSet: $IsTimeSet, IsAggrSet: $IsAggrSet");
@ -3282,121 +3286,9 @@ sub DbRep_averval {
my $st = [gettimeofday]; # SQL-Startzeit
my ($arrstr,$wrstr,@rsf,@rsn,@wsf,@wsn); # DB-Abfrage zeilenweise für jeden Array-Eintrag
if($acf eq "avgArithmeticMean") { # arithmetischer Mittelwert (Standard)
($err, $arrstr, $wrstr, $qlf) = _DbRep_avgArithmeticMean ($paref);
}
elsif ($acf =~ /avgDailyMeanGWS/x) {
# Berechnung des Tagesmittelwertes (Temperatur) nach der Vorschrift des deutschen Wetterdienstes
# Berechnung der Tagesmittel aus 24 Stundenwerten, Bezugszeit für einen Tag i.d.R. 23:51 UTC des
# Vortages bis 23:50 UTC, d.h. 00:51 bis 23:50 MEZ
# Wenn mehr als 3 Stundenwerte fehlen -> Berechnung aus den 4 Hauptterminen (00, 06, 12, 18 UTC),
# d.h. 01, 07, 13, 19 MEZ
# https://www.dwd.de/DE/leistungen/klimadatendeutschland/beschreibung_tagesmonatswerte.html
#
# SELECT VALUE FROM $table WHERE DEVICE="MyWetter" AND READING="temperature" AND TIMESTAMP >= "2018-01-28 $i:00:00" AND TIMESTAMP <= "2018-01-28 ($i+1):00:00" ORDER BY TIMESTAMP DESC LIMIT 1;
$addon = "ORDER BY TIMESTAMP DESC LIMIT 1";
$selspec = "VALUE";
$qlf = "avgdmgws";
for my $row (@ts) {
my @a = split("#", $row);
my $runtime_string = $a[0];
my $runtime_string_first = $a[1];
my $runtime_string_next = $a[2];
my $sum = 0;
my $anz = 0; # Anzahl der Messwerte am Tag
my($t01,$t07,$t13,$t19); # Temperaturen der Haupttermine
my ($bdate,undef) = split(" ",$runtime_string_first);
for my $i (0..23) {
my $bsel = $bdate." ".sprintf("%02d",$i).":00:00";
my $esel = ($i<23) ? $bdate." ".sprintf("%02d",$i).":59:59" : $runtime_string_next;
$sql = DbRep_createSelectSql($hash,$table,$selspec,$device,$reading,"'$bsel'","'$esel'",$addon);
($err, $sth) = DbRep_prepareExecuteQuery ($name, $dbh, $sql);
return "$name|$err" if ($err);
my $val = $sth->fetchrow_array();
Log3 ($name, 5, "DbRep $name - SQL result: $val") if($val);
$val = DbRep_numval ($val); # nichtnumerische Zeichen eliminieren
if(defined($val) && looks_like_number($val)) {
$sum += $val;
$t01 = $val if($val && $i == 00); # Wert f. Stunde 01 ist zw. letzter Wert vor 01
$t07 = $val if($val && $i == 06);
$t13 = $val if($val && $i == 12);
$t19 = $val if($val && $i == 18);
$anz++;
}
}
if($anz >= 21) {
$sum = $sum/24;
}
elsif ($anz >= 4 && $t01 && $t07 && $t13 && $t19) {
$sum = ($t01+$t07+$t13+$t19)/4;
}
else {
$sum = qq{<html>insufficient values - execute <b>get $name versionNotes 2</b> for further information</html>};
}
my $aval = (DbRep_checktimeaggr($hash))[2];
if($aval eq "hour") {
@rsf = split(/[ :]/,$runtime_string_first);
@rsn = split(/[ :]/,$runtime_string_next);
$arrstr .= $runtime_string."#".$sum."#".$rsf[0]."_".$rsf[1]."|";
}
elsif ($aval eq "minute") {
@rsf = split(/[ :]/,$runtime_string_first);
@rsn = split(/[ :]/,$runtime_string_next);
$arrstr .= $runtime_string."#".$sum."#".$rsf[0]."_".$rsf[1]."-".$rsf[2]."|";
}
else {
@rsf = split(" ",$runtime_string_first);
@rsn = split(" ",$runtime_string_next);
$arrstr .= $runtime_string."#".$sum."#".$rsf[0]."|";
}
@wsf = split(" ",$runtime_string_first);
@wsn = split(" ",$runtime_string_next);
$wrstr .= $runtime_string."#".$sum."#".$wsf[0]."_".$wsf[1]."#".$wsn[0]."_".$wsn[1]."|"; # Kombi zum Rückschreiben in die DB
### Grünlandtemperatursumme lt. https://de.wikipedia.org/wiki/Gr%C3%BCnlandtemperatursumme ###
my ($y,$m,$d) = split "-", $runtime_string;
if ($acf eq "avgDailyMeanGWSwithGTS" && looks_like_number($sum)) {
$m = DbRep_removeLeadingZero ($m);
$d = DbRep_removeLeadingZero ($d);
$gts = 0 if($m == 1 && $d == 1);
my $f = $sum <= 0 ? 0 :
$m >= 3 ? 1.00 : # Faktorenberechnung lt. https://de.wikipedia.org/wiki/Gr%C3%BCnlandtemperatursumme
$m == 2 ? 0.75 : 0.5;
$gts += $sum*$f;
if($gts >= 200) {
$gtsreached = $gtsreached // $runtime_string;
}
$gtsstr .= $runtime_string."#".$gts."#".$rsf[0]."|";
}
}
}
elsif ($acf eq "avgTimeWeightMean") {
($err, $arrstr, $wrstr, $qlf) = _DbRep_avgTimeWeightMean ($paref);
}
($err, my $arrstr, my $wrstr, $qlf, $gtsstr, my $gtsreached) = &{$dbrep_havgfn{$acf}{fn}} ($paref);
return "$name|$err" if ($err);
$sth->finish if($sth);
$dbh->disconnect;
my $rt = tv_interval($st); # SQL-Laufzeit ermitteln
@ -3410,11 +3302,13 @@ sub DbRep_averval {
$rt = $rt+$wrt;
}
no warnings 'uninitialized';
$arrstr = encode_base64($arrstr, ""); # Daten müssen als Einzeiler zurückgegeben werden
$device = encode_base64($device, "");
$gtsstr = encode_base64($gtsstr, "");
my $brt = tv_interval($bst); # Background-Laufzeit ermitteln
my $brt = tv_interval($bst); # Background-Laufzeit ermitteln
$rt = $rt.",".$brt;
return "$name|$err|$arrstr|$device|$reading|$rt|$irowdone|$gtsstr|$gtsreached";
@ -3501,6 +3395,136 @@ sub _DbRep_avgArithmeticMean {
return ($err, $arrstr, $wrstr, $qlf);
}
####################################################################################################
# averageValue Typ avgDailyMeanGWS
# Berechnung des Tagesmittelwertes (Temperatur) nach der Vorschrift des deutschen Wetterdienstes
#
# Berechnung der Tagesmittel aus 24 Stundenwerten, Bezugszeit für einen Tag i.d.R. 23:51 UTC des
# Vortages bis 23:50 UTC, d.h. 00:51 bis 23:50 MEZ
# Wenn mehr als 3 Stundenwerte fehlen -> Berechnung aus den 4 Hauptterminen (00, 06, 12, 18 UTC),
# d.h. 01, 07, 13, 19 MEZ
# https://www.dwd.de/DE/leistungen/klimadatendeutschland/beschreibung_tagesmonatswerte.html
#
####################################################################################################
sub _DbRep_avgDailyMeanGWS {
my $paref = shift;
my $hash = $paref->{hash};
my $name = $paref->{name};
my $table = $paref->{table};
my $device = $paref->{device};
my $reading = $paref->{reading};
my $qlf = $paref->{qlf};
my $tsaref = $paref->{tsaref};
my $dbh = $paref->{dbh};
my ($err, $sth, $arrstr, $wrstr, $gtsreached);
my (@rsf, @rsn);
my ($gts,$gtsstr) = (0, q{}); # Variablen für Grünlandtemperatursumme GTS
my $acf = AttrVal ($name, 'averageCalcForm', 'avgArithmeticMean'); # Festlegung Berechnungsschema f. Mittelwert
my $addon = "ORDER BY TIMESTAMP DESC LIMIT 1";
my $selspec = "VALUE";
$qlf = "avgdmgws";
for my $row (@{$tsaref}) {
my @ar = split "#", $row;
my $runtime_string = $ar[0];
my $runtime_string_first = $ar[1];
my $runtime_string_next = $ar[2];
my $sum = 0;
my $anz = 0; # Anzahl der Messwerte am Tag
my ($t01,$t07,$t13,$t19); # Temperaturen der Haupttermine
my ($bdate,undef) = split(" ",$runtime_string_first);
for my $i (0..23) {
my $bsel = $bdate." ".sprintf("%02d",$i).":00:00";
my $esel = ($i < 23) ? $bdate." ".sprintf("%02d",$i).":59:59" : $runtime_string_next;
my $sql = DbRep_createSelectSql ($hash,$table,$selspec,$device,$reading,"'$bsel'","'$esel'",$addon);
($err, $sth) = DbRep_prepareExecuteQuery ($name, $dbh, $sql);
return $err if ($err);
my $val = $sth->fetchrow_array();
Log3 ($name, 5, "DbRep $name - SQL result: $val") if($val);
$val = DbRep_numval ($val); # nichtnumerische Zeichen eliminieren
if(defined $val && looks_like_number($val)) {
$sum += $val;
$t01 = $val if($val && $i == 00); # Wert f. Stunde 01 ist zw. letzter Wert vor 01
$t07 = $val if($val && $i == 06);
$t13 = $val if($val && $i == 12);
$t19 = $val if($val && $i == 18);
$anz++;
}
}
if($anz >= 21) {
$sum = $sum/24;
}
elsif ($anz >= 4 && $t01 && $t07 && $t13 && $t19) {
$sum = ($t01+$t07+$t13+$t19)/4;
}
else {
$sum = qq{<html>insufficient values - execute <b>get $name versionNotes 2</b> for further information</html>};
}
my $aval = (DbRep_checktimeaggr($hash))[2];
if($aval eq "hour") {
@rsf = split /[ :]/, $runtime_string_first;
@rsn = split /[ :]/, $runtime_string_next;
$arrstr .= $runtime_string."#".$sum."#".$rsf[0]."_".$rsf[1]."|";
}
elsif ($aval eq "minute") {
@rsf = split /[ :]/, $runtime_string_first;
@rsn = split /[ :]/, $runtime_string_next;
$arrstr .= $runtime_string."#".$sum."#".$rsf[0]."_".$rsf[1]."-".$rsf[2]."|";
}
else {
@rsf = split " ", $runtime_string_first;
@rsn = split " ", $runtime_string_next;
$arrstr .= $runtime_string."#".$sum."#".$rsf[0]."|";
}
my @wsf = split " ", $runtime_string_first;
my @wsn = split " ", $runtime_string_next;
$wrstr .= $runtime_string."#".$sum."#".$wsf[0]."_".$wsf[1]."#".$wsn[0]."_".$wsn[1]."|"; # Kombi zum Rückschreiben in die DB
### Grünlandtemperatursumme lt. https://de.wikipedia.org/wiki/Gr%C3%BCnlandtemperatursumme ###
my ($y,$m,$d) = split "-", $runtime_string;
if ($acf eq 'avgDailyMeanGWSwithGTS' && looks_like_number($sum)) {
$m = DbRep_removeLeadingZero ($m);
$d = DbRep_removeLeadingZero ($d);
$gts = 0 if($m == 1 && $d == 1);
my $f = $sum <= 0 ? 0 :
$m >= 3 ? 1.00 : # Faktorenberechnung lt. https://de.wikipedia.org/wiki/Gr%C3%BCnlandtemperatursumme
$m == 2 ? 0.75 :
0.5;
$gts += $sum*$f;
if($gts >= 200) {
$gtsreached = $gtsreached // $runtime_string;
}
$gtsstr .= $runtime_string."#".$gts."#".$rsf[0]."|";
}
}
$sth->finish;
return ($err, $arrstr, $wrstr, $qlf, $gtsstr, $gtsreached);
}
####################################################################################################
# averageValue Typ avgTimeWeightMean
# zeitgewichteter Mittelwert
@ -3526,7 +3550,6 @@ sub _DbRep_avgTimeWeightMean {
my $reading = $paref->{reading};
my $qlf = $paref->{qlf};
my $tsaref = $paref->{tsaref};
my $dbmodel = $paref->{dbmodel};
my $dbh = $paref->{dbh};
my $IsTimeSet = $paref->{IsTimeSet};
my $IsAggrSet = $paref->{IsAggrSet};
@ -3573,7 +3596,7 @@ sub _DbRep_avgTimeWeightMean {
$sql = DbRep_createSelectSql($hash, $table, $selspec, $device, $reading, "'$newtime_string'", "'$runtime_string_first'", $addonl);
($err, $sth) = DbRep_prepareExecuteQuery ($name, $dbh, $sql);
return "$name|$err" if ($err);
return $err if ($err);
my @twm_array = map { $_->[0]."_ESC_".$_->[1] } @{$sth->fetchall_arrayref()};
@ -3596,7 +3619,7 @@ sub _DbRep_avgTimeWeightMean {
}
($err, $sth) = DbRep_prepareExecuteQuery ($name, $dbh, $sql);
return "$name|$err" if ($err);
return $err if ($err);
my @twm_array = map { $_->[0]."_ESC_".$_->[1] } @{$sth->fetchall_arrayref()};