Fix alert table and finish first translation iteration

r_app/90_CI_report_with_kpis_agronomic_support.Rmd

@@ -2,13 +2,13 @@
 params:
   ref: "word-styles-reference-var1.docx"
   output_file: "CI_report.docx"
-  report_date: "2026-02-04" #!r Sys.Date()
+  report_date: "2026-02-18" #!r Sys.Date()
   data_dir: "tpc"
   mail_day: "Wednesday"
   borders: FALSE
   ci_plot_type: "both"
   colorblind_friendly: TRUE
-  lang: "en"
+  language: "en"
   facet_by_season: FALSE
   x_axis_unit: "days"
 output:
@@ -28,7 +28,7 @@ ci_plot_type <- params$ci_plot_type
 colorblind_friendly <- params$colorblind_friendly
 facet_by_season <- params$facet_by_season
 x_axis_unit <- params$x_axis_unit
-lang <- params$lang
+language <- params$language
 ```
 
 ```{r load_libraries, message=FALSE, warning=FALSE, include=FALSE}
@@ -484,10 +484,10 @@ tryCatch({
 
 # Try to select the translations for this report, otherwise fall back to English
 tryCatch({
-  if (lang %in% names(translations)) {
-    lang_col <- lang
-    safe_log(paste0("Loaded localisation for '", lang,"'"))
-  }else {
+  if (language %in% names(translations)) {
+    lang_col <- language
+    safe_log(paste0("Loaded localisation for '", language,"'"))
+  } else {
     lang_col <- "en"
     safe_log(paste("Specified language not supported, defaulting to 'en'"), "WARNING")
   }
@@ -730,7 +730,7 @@ generate_field_alerts <- function(field_details_table) {
   }
   
   # Check for required columns
-  required_cols <- c("Field", "Field Size (acres)", "Growth Uniformity", "Yield Forecast (t/ha)", 
+  required_cols <- c("Field", "Growth Uniformity", "Yield Forecast (t/ha)", 
                      "Gap Score", "Decline Risk", "Patchiness Risk", "Mean CI", "CV Value", "Moran's I")
   missing_cols <- setdiff(required_cols, colnames(field_details_table))
   
@@ -750,7 +750,6 @@ generate_field_alerts <- function(field_details_table) {
     # Aggregate data for the field
     field_summary <- field_data %>%
       summarise(
-        field_size = sum(`Field Size (acres)`, na.rm = TRUE),
         uniformity_levels = paste(unique(`Growth Uniformity`), collapse = "/"),
         avg_yield_forecast = mean(`Yield Forecast (t/ha)`, na.rm = TRUE),
         max_gap_score = max(`Gap Score`, na.rm = TRUE),
@@ -785,21 +784,21 @@ generate_field_alerts <- function(field_details_table) {
     
     # Generate alerts based on priority level
     if (priority_level == 1) {
-      field_alerts <- c(field_alerts, "Priority field - recommend inspection")
+      field_alerts <- c(field_alerts, t("priority"))
     } else if (priority_level == 2) {
-      field_alerts <- c(field_alerts, "Monitor - check when convenient")
+      field_alerts <- c(field_alerts, t("monitor"))
     }
     # Priority 3: No alert (no stress)
     
     # Keep other alerts for decline risk, patchiness risk, gap score
     if (field_summary$highest_decline_risk %in% c("High", "Very-high")) {
-      field_alerts <- c(field_alerts, "Growth decline observed")
+      field_alerts <- c(field_alerts, t("growth_decline"))
     }
     if (field_summary$highest_patchiness_risk == "High") {
-      field_alerts <- c(field_alerts, "High patchiness detected - recommend scouting")
+      field_alerts <- c(field_alerts, t("high_patchiness"))
     }
     if (field_summary$max_gap_score > 20) {
-      field_alerts <- c(field_alerts, "Gaps present - recommend review")
+      field_alerts <- c(field_alerts, t("gaps_present"))
     }
     
     # Only add alerts if there are any (skip fields with no alerts)
@@ -845,8 +844,8 @@ if (exists("field_details_table") && !is.null(field_details_table) && nrow(field
   if ("Gap_Score" %in% names(field_details_for_alerts)) {
     field_details_for_alerts <- field_details_for_alerts %>% dplyr::rename(`Gap Score` = Gap_Score)
   }
-  if ("Growth_Uniformity" %in% names(field_details_for_alerts)) {
-    field_details_for_alerts <- field_details_for_alerts %>% dplyr::rename(`Growth Uniformity` = Growth_Uniformity)
+  if ("Uniformity_Category" %in% names(field_details_for_alerts)) {
+    field_details_for_alerts <- field_details_for_alerts %>% dplyr::rename(`Growth Uniformity` = Uniformity_Category)
   }
   if ("Decline_Risk" %in% names(field_details_for_alerts)) {
     field_details_for_alerts <- field_details_for_alerts %>% dplyr::rename(`Decline Risk` = Decline_Risk)
@@ -1663,7 +1662,7 @@ if (!exists("field_details_table") || is.null(field_details_table) || nrow(field
 
 ```{r include=FALSE}
 # Tries to get the CI graph in different language, otherwise falls back on English
-target_img <- paste0("CI_graph_example_", lang, ".png")
+target_img <- paste0("CI_graph_example_", language, ".png")
 img_path <- ifelse(file.exists(target_img), target_img, "CI_graph_example.png")
 ```