diff --git a/HEAT/code/haas_reprex.R b/HEAT/code/haas_reprex.R
index 4ef8e6e..5687f6b 100644
--- a/HEAT/code/haas_reprex.R
+++ b/HEAT/code/haas_reprex.R
@@ -48,6 +48,8 @@ resp <-
 
 # convert from "jsonl-serialized" to R format
 from_serialized_json <- jsonlite::unserializeJSON(httr::content(resp, "text"))
+
+
 str(from_serialized_json$results)
 
 # Check final result value
@@ -76,6 +78,8 @@ resp <-
 
 # convert to R
 from_rds <- unserialize(httr::content(resp, "raw"))
+# check the response
+str(resp)
 
 # Check final result value
 res = as.numeric(gsub(" ","",from_rds$results$moneytotaldisc)) #remove spaces and convert to to numeric
@@ -86,6 +90,30 @@ res[26]-res[27]-res[28]+res[29]
 # 
 
 
+ # TRY TO USE OTHER VALUES
+webapp_input[["raw_activemode_bike_ref_alltrips"]] # it use to be the sum of all TRIPS per day (not per person/day)
+
+totaltripspax = 2.6
+webapp_input[["raw_activemode_bike_ref_alltrips"]] = totaltripspax
+webapp_input[["raw_activemode_bike_cf_alltrips"]] = totaltripspax
+webapp_input[["raw_motorizedmode_car_ref_alltrips"]] = totaltripspax
+webapp_input[["raw_motorizedmode_car_cf_alltrips"]] = totaltripspax
+
+
+# DOESNT WORK
+resp_reprex <- 
+  httr::POST("https://api.heatwalkingcycling.org/apiv1/heat_5_0/calc_results?output_format=rds",
+             httr::set_cookies("user" = Sys.getenv("HEAT_COOKIE")),
+             body = jsonlite::toJSON(
+               list("webapp_input" = webapp_input,
+                    "generic_data_relevant" = genericdata)),
+             encode = "multipart")
+
+# convert to R
+from_rds_reprex <- unserialize(httr::content(resp_reprex, "raw"))
+
+
+
 
 
 
diff --git a/code/test-code/heat-prep.R b/code/test-code/heat-prep.R
index 5f2443b..123761a 100644
--- a/code/test-code/heat-prep.R
+++ b/code/test-code/heat-prep.R
@@ -253,7 +253,7 @@ HEATbind_aml_PPP = HEATbind
 ## For Intermodality ---------------------------------------------------------------------------
 # RUN THIS AGAIN WHEN API GETS LIVE
 
-Code_Hass = CENARIOS$Code[9:12] #fazer por enquanto só AML e senários 1 e 2
+Code_Hass = CENARIOS$Code[9:12] #fazer por enquanto só AML e senários 3
 
 HEATbind_intermodal_correct = HEAT
 
@@ -275,11 +275,11 @@ for (i in Code_Hass){
     ungroup() %>% 
     group_by(id) %>%  # it shouldn't return two segments again.
     summarise(distance = sum(distance),  # we need to put both segments distance together!
-              Bike = Bike,
-              Car = Car + CarP,
-              Total = Total,
-              Bikeper = Bike / Total) %>% 
-    unique() |> # NOT THE IDEAL BUT WORKS FOR THE PURPUSE (this was missing in the first version 2023)
+              Bike = mean(Bike),
+              Car = mean(Car) + mean(CarP),
+              Total = mean(Total),
+              Bikeper = mean(Bike) / mean(Total)) %>% 
+    # unique() |> # NOT THE IDEAL BUT WORKS FOR THE PURPUSE (this was missing in the first version 2023)
     ungroup() %>% 
     mutate(
       cyc = ifelse(Bikeper >= HEAT$ENMAC, Bike, HEAT$ENMAC * Total),
@@ -292,10 +292,10 @@ for (i in Code_Hass){
     filter(id %in% unique(HEAT_bike$id)) %>% 
     group_by(id) %>% 
     summarise(distance = sum(distance), 
-              Bike = Bike,
-              Car = Car + CarP,
-              Total = Total,
-              Bikeper = Bike / Total) %>% 
+              Bike = mean(Bike),
+              Car = mean(Car) + mean(CarP),
+              Total = mean(Total),
+              Bikeper = mean(Bike) / mean(Total)) %>% 
     mutate(
       cyc = ifelse(Bikeper >= HEAT$ENMAC, Bike, HEAT$ENMAC * Total),
       new_cyc = ifelse(Bikeper >= HEAT$ENMAC, 0, cyc - Bike)) %>%