private void storeWeeklyMetrics(LocalDate crc) {
// Store weekly demand metrics
Years yr = Years.years(crc.getYear());
Map<LocalDate, Demand> currDemandMap = demandMap.get(yr);
if (currDemandMap == null) {
currDemandMap = new TreeMap<LocalDate, Demand>();
}
Demand d = currDemandMap.get(crc);
if (d == null) {
d = new Demand();
}
d.setRcAvgDemand(rcAvgDemand);
d.setRcAvgDemandActual(rcAvgDemandActual);
currDemandMap.put(crc, d);
demandMap.put(yr, currDemandMap);
// Store weekly sales metrics
Map<LocalDate, Sales> currSalesMap = salesMap.get(yr);
if (currSalesMap == null) {
currSalesMap = new TreeMap<LocalDate, Sales>();
}
Sales s = currSalesMap.get(crc);
if (s == null) {
s = new Sales();
}
s.setRcAvgSalesActual(rcAvgSalesActual);
s.setRcAvgSales(rcAvgSales);
currSalesMap.put(crc, s);
salesMap.put(yr, currSalesMap);
}
/**
* Defines the magnitudes that can be added to the timestamp
*
* @param token token of form "[number][magnitude]" (ex. "1d")
* @return integer indicating the magnitude of the date for the calendar system
*/
public static ReadablePeriod getTimePeriod(String token) {
String valString = token.substring(0, token.length() - 1);
int value = Integer.parseInt(valString);
char mag = token.charAt(token.length() - 1);
ReadablePeriod period;
switch (mag) {
case 's':
period = Seconds.seconds(value);
break;
case 'm':
period = Minutes.minutes(value);
break;
case 'h':
period = Hours.hours(value);
break;
case 'd':
period = Days.days(value);
break;
case 'M':
period = Months.months(value);
break;
case 'y':
period = Years.years(value);
break;
default:
logger.warn("Invalid date magnitude: {}. Defaulting to seconds.", mag);
period = Seconds.seconds(value);
break;
}
return period;
}
private double getDemandUplift(LocalDate dt) {
Map<LocalDate, List<Event>> currEventMap = eventsMap.get(Years.years(dt.getYear()));
if (currEventMap == null) {
return 1.0;
}
List<Event> events = currEventMap.get(dt);
return Event.calculateDemandUplift(events);
}
public void setTempOnHold(LocalDate dt, Boolean val) {
Years yr = Years.years(dt.getYear());
Map<LocalDate, Boolean> map = tempOnHoldMap.get(yr);
if (map == null) {
map = new TreeMap<LocalDate, Boolean>();
}
map.put(dt, val);
tempOnHoldMap.put(yr, map);
}
@Test
public void serializesCreditCardWithOutIdAndWithAppropriateMontshAndYears() throws Exception {
CreditCard creditCard =
new CreditCard(
new CreditCardNumber("1234123412341234"),
"Oliver Gierke",
Months.ELEVEN,
Years.years(2013));
assertThat(mapper.writeValueAsString(creditCard), is(REFERENCE));
}
public void addEvent(LocalDate dt, Event e) {
Years yr = Years.years(dt.getYear());
Map<LocalDate, List<Event>> currEventMap = eventsMap.get(yr);
if (currEventMap == null) {
currEventMap = new TreeMap<LocalDate, List<Event>>();
}
List<Event> eventList = currEventMap.get(dt);
if (eventList == null) {
eventList = new ArrayList<Event>();
}
eventList.add(e);
currEventMap.put(dt, eventList);
eventsMap.put(yr, currEventMap);
}
/** Outlier filtering has been done prior to processing daily metrics * */
private void processDailyMetrics() {
LocalDate crc = SystemDao.getCrc();
double lostSales = getLostSales();
rcSalesActual = rcSalesActual + epSalesActual;
// rcSales is outlier filtered sales and has been calculated in outlier processing
rcSales = rcSales + epSales;
Years yr = Years.years(crc.getYear());
Map<LocalDate, Sales> currSalesMap = salesMap.get(yr);
if (currSalesMap == null) {
currSalesMap = new TreeMap<LocalDate, Sales>();
}
Sales s = currSalesMap.get(crc);
if (s == null) {
s = new Sales();
}
s.setEpSalesActual(epSalesActual);
s.setEpSales(epSales);
s.setRcSales(rcSales);
s.setRcSalesActual(rcSalesActual);
s.setLostSales(lostSales);
currSalesMap.put(crc, s);
salesMap.put(yr, currSalesMap);
/** * Daily Demand Calculations **** */
// daily demand
epDemand = getEpDemand();
// demand = sales + lostsales
// outlier filtered sales used for rcDemand
rcDemand = rcSales + lostSales;
rcDemandActual += (epSalesActual + lostSales);
Map<LocalDate, Demand> currDemandMap = demandMap.get(yr);
if (currDemandMap == null) {
currDemandMap = new TreeMap<LocalDate, Demand>();
}
Demand d = currDemandMap.get(crc);
if (d == null) {
d = new Demand();
}
d.setEpDemand(epDemand);
d.setRcDemand(rcDemand);
d.setRcDemandActual(rcDemandActual);
currDemandMap.put(crc, d);
demandMap.put(yr, currDemandMap);
/** **** Daily Inventory Calculations ****** */
processInventory();
if (epSales > rcMaxSales) {
rcMaxSales = epSales;
weekSinceMaxSales = 0;
}
if (epEopInv > demoStock) {
daysSinceWalk = daysSinceWalk + 1;
} else {
daysSinceWalk = 0;
}
if (epSalesActual == 0) {
daysSinceSale = daysSinceSale + 1;
} else {
daysSinceSale = 0;
}
Map<LocalDate, ProductInventory> currInventoryMap = inventoryMap.get(yr);
if (currInventoryMap == null) {
currInventoryMap = new TreeMap<LocalDate, ProductInventory>();
}
ProductInventory inv = currInventoryMap.get(crc);
if (inv == null) {
inv = new ProductInventory();
}
inv.setEpAvgInv(epAvgInv);
inv.setEpEopInv(epEopInv);
inv.setEpInvOut(epInvOut);
inv.setEpInvIn(epInvIn);
inv.setRcBopInv(rcBopInv);
inv.setRcBopInv(rcBopInv);
inv.setRcInvIn(rcInvIn);
inv.setRcInvOut(rcInvOut);
inv.setInventory(inventory);
currInventoryMap.put(crc, inv);
inventoryMap.put(yr, currInventoryMap);
if (statusCd == STATUS_CD.LEARNING) {
performDailyLearning();
}
resetEpAccumulators();
}
private ProductInventory getInventory(LocalDate dt) {
return inventoryMap.get(Years.years(dt.getYear())) == null
? null
: inventoryMap.get(Years.years(dt.getYear())).get(dt);
}
private Demand getDemand(LocalDate dt) {
return demandMap.get(Years.years(dt.getYear())) == null
? null
: demandMap.get(Years.years(dt.getYear())).get(dt);
}
private Sales getSales(LocalDate dt) {
return salesMap.get(Years.years(dt.getYear())) == null
? null
: salesMap.get(Years.years(dt.getYear())).get(dt);
}