Changed from shiny fluent to shiny dashboard

.gitignore

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+.Rproj.user
+.Rhistory
+.RData
+.Ruserdata

Analysis.qmd

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+---
+title: "Analysis"
+format: html
+editor: visual
+---
+
+## Quarto
+
+```{r}
+knitr::opts_chunk$set(echo = TRUE)
+library('httr')
+library('data.table')
+library('dplyr') 
+library(lubridate)
+library(highcharter)
+```
+
+```{r}
+user=keyring::key_list("odata.dev.shiny")[1,2]
+
+pass=keyring::key_get("odata.dev.shiny", "SHINYAPP_REQUEST")
+
+url<-"https://my355441.crm.ondemand.com/sap/c4c/odata/v1/c4codataapi/OpportunityCollection?$filter=CreationDate%20ge%20datetime'2022-01-01T00:00:00'%20and%20CreationDate%20le%20datetime'2023-07-25T00:00:00'%20and%20SalesOrganisationID%20eq%20'NL01'"
+dt.get<-GET(url, authenticate(user, pass, type = "basic"))
+
+dt.list<-content(dt.get, as="parsed")
+dt.list$d$`__next`
+dat<-data.table::rbindlist(dt.list$d$results,use.names=TRUE, fill=TRUE, idcol="UID")
+
+sort(colnames(dat))
+df<-unique(dat[, list(ID, ProcessingTypeCodeText, ProspectPartyID, Name, PrimaryContactPartyID,
+           PriorityCodeText, OriginTypeCodeText, LifeCycleStatusCodeText, ExternalUserStatusCodeText, SalesCycleCodeText, SalesCyclePhaseCodeText, ProbabilityPercent, ExpectedRevenueAmount, ExpectedRevenueAmountCurrencyCode,
+           SalesOrganisationID, SalesTerritoryID, MainEmployeeResponsiblePartyID,
+           PhaseProgressEvaluationStatusCodeText, MainEmployeeResponsiblePartyName,
+           SalesUnityPartyName, ProspectPartyName, SalesOrganisationName, SalesTerritoryName, CreationDate, Zoppstartdate_KUT, Zopptype_KUTText, Zproductpillar_KUT, Zinterproject_KUT, Zoppclosedate_KUT,
+Zclassification_KUTText, Zprojectcountry_KUTText, Zprojectpostalcode_KUT, Zprojetcity_KUT, Zprojetcity_KUT)])
+
+
+filename<-paste0(tempdir(), "/", "OppData", ".csv")
+
+write.csv(df, file = filename)
+
+odata.opp.get<-function(user=keyring::key_list("odata.dev.shiny")[1,2], pass=keyring::key_get("odata.dev.shiny", "SHINYAPP_REQUEST"), url="https://my355441.crm.ondemand.com/sap/c4c/odata/v1/c4codataapi/OpportunityCollection?$filter=CreationDate%20ge%20datetime'2022-01-01T00:00:00'%20and%20CreationDate%20le%20datetime'2023-07-25T00:00:00'%20and%20SalesOrganisationID%20eq%20'NL01'"){
+
+  dt.get<-GET(url, authenticate(user, pass, type = "basic"))
+  
+  if(dt.get$status_code != 200){
+    Sys.sleep(5)
+  }
+  dt.list<-content(dt.get, as="parsed")
+  print("parsed")
+  dat<-data.table::rbindlist(dt.list$d$results,use.names=TRUE, fill=TRUE, idcol="UID")
+  dt.df<-unique(dat[, list(ID, ProcessingTypeCodeText, ProspectPartyID, Name, PrimaryContactPartyID,
+           PriorityCodeText, OriginTypeCodeText, LifeCycleStatusCodeText, ExternalUserStatusCodeText, SalesCycleCodeText, SalesCyclePhaseCodeText, ProbabilityPercent, ExpectedRevenueAmount, ExpectedRevenueAmountCurrencyCode,
+           SalesOrganisationID, SalesTerritoryID, MainEmployeeResponsiblePartyID,
+           PhaseProgressEvaluationStatusCodeText, MainEmployeeResponsiblePartyName,
+           SalesUnityPartyName, ProspectPartyName, SalesOrganisationName, SalesTerritoryName, CreationDate, Zoppstartdate_KUT, Zopptype_KUTText, Zproductpillar_KUT, Zinterproject_KUT, Zoppclosedate_KUT,
+Zclassification_KUTText, Zprojectcountry_KUTText, Zprojectpostalcode_KUT, Zprojetcity_KUT)])
+  rm(dat)
+  print("writing file")
+  filename<-paste0(tempdir(), "/", "OppData", ".csv")
+  data.table::fwrite(dt.df,filename, append = TRUE, row.names = FALSE)
+  print("Done")
+  print(dt.list$d$`__next`)
+  print(names(dt.list$d))
+  if(!c("__next") %in% names(dt.list$d)){
+    r.df<-read.csv(filename) |>
+             mutate(CreationDate=as_datetime(as.numeric(gsub("\\D", "", CreationDate))/1000))
+    file.remove(filename)
+    return(r.df)
+    
+  } else {
+    return(
+      odata.opp.get(url=dt.list$d$`__next`,user=keyring::key_list("odata.dev.shiny")[1,2], pass=keyring::key_get("odata.dev.shiny", "SHINYAPP_REQUEST"))
+    )
+  }
+  
+}
+
+opp.dt<-odata.opp.get()
+colnames(opp.dt)
+
+unique(opp.dt)
+```
+
+
+```{r}
+opp.dt |> 
+  mutate(cre_date=floor_date(CreationDate, unit="weeks")) |> 
+  count(cre_date) |> # SalesTerritoryID, 
+# PhaseProgressEvaluationStatusCodeText, 
+# MainEmployeeResponsiblePartyName, SalesTerritoryName, Zopptype_KUTText, Zprojetcity_KUT
+  gg
+```
+
+
+```{r}
+opp.dt[opp.dt$SalesTerritoryName=="AT_09 - Kärnten",]
+```
+
+

OppReport.Rproj

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+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX

app.R

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+#
+# This is a Shiny web application. You can run the application by clicking
+# the 'Run App' button above.
+#
+# Developed by LaNubia
+
+library(shiny)
+library(shinydashboard)
+
+source("uihelp.R")
+
+# Define UI for application that draws a histogram
+ui <- dashboardPage(
+  dashboardHeader(title = "Opportunity Report NL"),
+  dashboardSidebar(
+    filters.sidebar
+  ),
+  dashboardBody(
+      box(
+        radioButtons("Period", "Select Period", choiceNames = c("Daily", "Weekly", "Monthly", "Quarterly", "Yearly"),
+                     choiceValues = c("day", "week", "month", "quarter", "year"), selected = "week", inline=TRUE, width = "90%"),
+        filters.panel, 
+        width = 5)
+  )
+)
+
+server <- function(input, output, session) {}
+
+# Run the application 
+shinyApp(ui = ui, server = server)

uihelp.R

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+
+## UI components
+
+
+# Filters
+
+# Sales Territory Options
+
+# Function to convert the vector into list
+
+vector.to.list<- function(x) {
+  list(
+    key = x,
+    text = x
+  )
+}
+
+
+# territory.options<- lapply(
+#   c("NL_01 - NL_General" ,"Netherlands",
+#     "AT_07 - Burgenland" ,"NZ_South Island",
+#     "NZ_North Island" ,"AT_02 - Niederösterreich",
+#     "AT_05 - Salzburg" ,"CN_05 - Sales Commercial",
+#     "AT_09 - Kärnten" ,"DE_BE - DE Belgium" ),
+#   vector.to.list
+# )
+
+territory.options<- c("NL_01 - NL_General" ,"Netherlands",
+                      "AT_07 - Burgenland" ,"NZ_South Island",
+                      "NZ_North Island" ,"AT_02 - Niederösterreich",
+                      "AT_05 - Salzburg" ,"CN_05 - Sales Commercial",
+                      "AT_09 - Kärnten" ,"DE_BE - DE Belgium" )
+employee.options<- c(
+  "Meerten Siertsema", "Hakan Küçükoğlu", "Mark Lammertink",
+  "Leviat 2",  "Katja Rustenhoven", "Gerko Gortel, van",
+  "Rutger Game", "Bram Aalbers", "Leviat 3", "Rigo Selassa"
+  )
+
+filters.sidebar <- tagList(
+  dateInput("fromDate", value = as.Date('2023/01/01'), label = "From date"),
+  dateInput("toDate", value = today(), label = "To date"),
+  actionButton("Extract","(Re-)Extract", icon = icon("download"))
+)
+
+filters.panel <- tagList(
+  fluidRow(
+    column(width = 6, selectizeInput(inputId="Territory", label= "Territory",choices= territory.options, selected=territory.options[1], multiple = TRUE),
+           selectizeInput(inputId="OppType", label= "Opportunity Type",choices= c("Opportunity", "Project", "Subproject"), selected=c("Opportunity", "Project", "Subproject"), multiple = TRUE)),
+    column(width = 6, selectizeInput(inputId="Employee", label= "Employee",choices= employee.options, selected=employee.options[1], multiple = TRUE),
+           selectizeInput(inputId="Status", label= "Status",choices= c("Open", "In Process", "Won"), selected=c("Open", "In Process", "Won"), multiple = TRUE))
+  )
+  
+)
+
+