0, gridP, 0) - IF(battP>0, battP, 0) > 0, -totalConsumption - IF(gridP>0, gridP, 0) - IF(battP>0, battP, 0), 0) AS Direktverbrauch,
IF(battP>0, battP, 0) AS Batteriebezug,
gridPcons AS Netzbezug,
-totalConsumption AS Verbrauch,".
//IF(battP<0, -battP, 0) AS Batterieladung,
"soc AS Ladestand
FROM solarLog.EnergyFlow
WHERE EnergyFlow.datetime BETWEEN DATE_ADD(NOW(),INTERVAL ".($_GET["FROM"])." HOUR) and DATE_ADD(NOW(),INTERVAL ".$_GET["TO"]." HOUR)
ORDER BY EnergyFlow.datetime";
$simQuery = "SELECT
UNIX_TIMESTAMP(simPower.period_end) AS time,
power*1000 AS 'Vorhersage'
FROM solarLog.simPower
WHERE simPower.period_end BETWEEN DATE_ADD(NOW(),INTERVAL ".($_GET["FROM"])." HOUR) and DATE_ADD(NOW(),INTERVAL ".$_GET["TO"]." HOUR)
ORDER BY simPower.period_end";
$linecolors["Solarleistung"] = "#FFFF00";
$linecolors["Direktverbrauch"] = "#FFcc00";
$linecolors["Verbrauch"] = "#FFaa44";
$linecolors["Auto UG"] = "#00aaFF";
$linecolors["Auto OG"] = "#0044FF";
$linecolors["Netzbezug"] = "#FF0000";
$linecolors["Batteriebezug"] = "#00aa00";
$linecolors["Batterieladung"] = "#0033aa";
$linecolors["Einspeisung"] = "#b0b0b0";
$linecolors["Ladestand"] = "#00aa00";
$linecolors["Vorhersage"] = "#2222FF";
if (checkLogin()) {
$mysql = new mysqli($mysql_server, $mysql_solarUser, $mysql_solarPass, $mysql_solarDB);
$result = mysqli_query($mysql, $consQuery);
$simRes = mysqli_query($mysql,$simQuery);
if(!$result){
echo "Error:
".mysqli_error($mysql)."
";
}
$obj = (object)[]; // Cast empty array to object
$obj->labels = [];
$obj->datasets = [];
$i = 0;
$filled = 0;
if ($simRes->num_rows > 1) {
$dataset = (object)[];
$row1 = $simRes->fetch_assoc();
$dataset->borderColor = $linecolors["Vorhersage"];
$dataset->backgroundColor = $linecolors["Vorhersage"]."55";
$dataset->borderWidth=1.5;
$dataset->pointRadius= 0;
$dataset->pointHoverRadius= 5;
$dataset->tension=0.2;
$dataset->stack = "sim";
$dataset->fill = "none";
$dataset->yAxisID = 'y';
$dataset->label = "Vorhersage";
/*$pt = (object)[];
$pt->x = $row["time"]*1000;
$pt->y = $row["Vorhersage"];
$dataset->data[] = clone $pt;
while ($row = $simRes->fetch_assoc()) {
$pt = (object)[];
$pt->x = $row["time"]*1000 + 30*60*1000;
$pt->y = $row["Vorhersage"];
$dataset->data[] = clone $pt;
}*/
$obj->datasets[] = clone $dataset;
$rownext = $simRes->fetch_assoc();
$nextSimTimestamp = $rownext["time"]*1000 + 30*60*1000;
}
if ($result->num_rows > 1) {
$ii = 1;
$row = $result->fetch_assoc();
foreach ($row as $name => $value) {
$dataset = (object)[];
if ($name != "time") {
$dataset->borderColor = $linecolors[$name];
$dataset->backgroundColor = $linecolors[$name]."22";
$dataset->borderWidth=1;
$dataset->pointRadius= 0;
$dataset->pointHoverRadius= 5;
$dataset->tension=0.2;
if ($name == "Solarleistung") {
$dataset->stack = "SolarPwr";
$dataset->fill = "none";
$dataset->yAxisID = 'y';
}else if ($name == "Verbrauch") {
$dataset->stack = "ConsPwr";
$dataset->fill = "1";
$dataset->yAxisID = 'y';
}else if ($name == "Batterieladung") {
$dataset->stack = "ConsPwr";
$dataset->fill = "-1";
$dataset->backgroundColor = $linecolors[$name]."77";
$dataset->yAxisID = 'y';
} else if ($name == "Ladestand") {
$dataset->stack = "Charge";
$dataset->fill = "none";
$dataset->yAxisID = 'y1';
} else {
$dataset->stack = "Consumers";
if ($filled == 0) {
$filled = 1;
$dataset->fill = "origin";
} else {
$dataset->fill = "-1";
}
$dataset->yAxisID = 'y';
}
$dataset->label = $name;
$dataset->data[] = $value;
$obj->datasets[] = clone $dataset;
$ii++;
} else {
$obj->labels[] = $value * 1000;
}
}
while ($row = $result->fetch_assoc()) {
$ii = 1;
foreach ($row as $name => $value) {
if ($name != "time") {
$obj->datasets[$ii]->data[] = $value;
$ii++;
} else {
if(($value * 1000) < $nextSimTimestamp){
$obj->datasets[0]->data[] = $row1["Vorhersage"];
}else{
$row1 = $rownext;
$rownext = $simRes->fetch_assoc();
$nextSimTimestamp = $rownext["time"]*1000 + 30*60*1000;
$obj->datasets[0]->data[] = $row1["Vorhersage"];
}
$obj->labels[] = $value * 1000;
}
}
}
}
$obj->labels[] = $nextSimTimestamp; //Draw future forecast
$obj->datasets[0]->data[] = $rownext["Vorhersage"];
while($rownext = $simRes->fetch_assoc()){
$obj->labels[] = $rownext["time"]*1000 + 30*60*1000;
$obj->datasets[0]->data[] = $rownext["Vorhersage"];
}
}
//header('Content-Type: application/json');
echo json_encode($obj);
//echo '{"labels":[1761322682000,1761322782000,1761322882000,1761322982000,1761323082000,1761323182000,1761323282000],"datasets":[{"stack": "Stack 0","cubicInterpolationMode":"monotone","fill":"origin","label":"Acquisitions by year","data":[10,20,50,20,10,5,70]},{"fill": "false","stack": "Stack 1","cubicInterpolationMode": "monotone","label": "Acquisitions by year","data": [10,20,50,20,10,5,70]}]}';
?>