Merge pull request #97 from DOI-USGS/wy_2024

Wy 2024

0_config.yml

@@ -43,9 +43,9 @@ targets:
 ##-- Fetch configs --##
 
   viz_start_date:
-    command: as.Date(I('2023-01-01'))
+    command: as.Date(I('2023-10-01'))
   viz_end_date:
-    command: as.Date(I('2023-12-31'))
+    command: as.Date(I('2024-09-30'))
   # Use bounding box in case we want to do this regionally someday
   # Start with CONUS only
   # I don't think this is being used any more ...

2_process.yml

@@ -89,6 +89,7 @@ targets:
       tmp_dir = I('2_process/tmp'))
 
   ##-- Now push the data needed by Vue to S3 --##
-
+  # These data end up on the Prod VPC with `us-west-2`
+  # You must login separately using `ssologin.sh
   visualizations/data/gw-conditions-time-labels.csv.ind:
     command: s3_put(target_name, '2_process/out/gw-conditions-time-labels.csv', config_file = I('lib/cfg/s3_config_viz.yml'))

3_visualize.yml

@@ -60,7 +60,7 @@ targets:
   ##-- Now push the data needed by Vue to S3 --##
 
   # These data end up on the Prod VPC with `us-west-2`
-  # You must login separately using `saml2aws login`
+  # You must login separately using `ssologin.sh`
 
   visualizations/data/gw-conditions-peaks-map.svg.ind:
     command: s3_put(target_name, '3_visualize/out/gw-conditions-peaks-map.svg', config_file = I('lib/cfg/s3_config_viz.yml'))
@@ -106,7 +106,7 @@ targets:
   # We want to keep a copy of each time window we use, but don't want to have to keep changing the 
   # filename that is used by the Vue code manually. So, we are uploading a copy of the data for
   # the current viz time window and naming based on the dates.
-  # This data ends up on the Dev VPC with `us-west-2`; you must login separately using `saml2aws login`
+  # This data ends up on the Dev VPC with `us-west-2`; you must login separately using `ssologin.sh`
   gw_conditions_peaks_timeseries_s3copy_fname:
     command: sprintf(
       I('gw-conditions/viz-previous-peak-data/gw-conditions-peaks-timeseries-%s_%s.csv'),

3_visualize/out/gw-conditions-daily-proportions-s3copy.ind

@@ -1,2 +1,2 @@
-hash: 5d9d05238386e4f818f4d6f1ca051bc7
+hash: 0e4d3a861e516f3da5a725b001308a0b
 

3_visualize/out/gw-conditions-peaks-timeseries-s3copy.ind

@@ -1,2 +1,2 @@
-hash: 15f470784c897971afd9c7a7f63366b2
+hash: 96dd18b3f4dcbb8f40ad313d31cc557e
 

3_visualize/out/gw-conditions-site-coords-s3copy.ind

@@ -1,2 +1,2 @@
-hash: e2694c1d4d74f9e2ffd76c2f2c11f955
+hash: c7ff8cde36e85a4628db2b115a7702df
 

3_visualize/out/gw-conditions-time-labels-s3copy.ind

@@ -1,2 +1,2 @@
-hash: d28ab3ba24b2f8f26b0eb7d27eb657ea
+hash: b39453520230b7444384d48eb1261b70
 

lib/cfg/s3_config.yml

@@ -1,3 +1,3 @@
-profile: 'default'
+profile: 'wma-developer-dev'
 
 bucket: 'vizlab-data'

lib/cfg/s3_config_viz.yml

@@ -1,3 +1,3 @@
-profile: 'default'
+profile: 'wma-developer-prod'
 
 bucket: 'water-visualizations-prod-website'

lib/cfg/s3_config_viz_beta.yml

@@ -1,3 +1,3 @@
-profile: 'default'
+profile: 'wma-developer-prod'
 
 bucket: 'water-visualizations-beta-website'

src/components/GWL.vue

@@ -169,7 +169,7 @@ export default {
       days: null, // used to index days in sequence
 
       peak_grp: null,
-      day_length: 10, // frame duration in milliseconds
+      day_length: 75, // frame duration in milliseconds
       current_time: 0, // tracking animation timing
       n_days: null,
       n_sites: {},
@@ -395,7 +395,7 @@ export default {
              self.day_length = 300;
              self.button_text_speed = "Faster";
           } else {
-            self.day_length = 10
+            self.day_length = 75;
             self.button_text_speed = "Slower";
           }
         })

visualizations/data/gw-conditions-daily-proportions-beta.csv.ind

@@ -1,2 +1,2 @@
-hash: 5d9d05238386e4f818f4d6f1ca051bc7
+hash: 0e4d3a861e516f3da5a725b001308a0b
 

visualizations/data/gw-conditions-daily-proportions-live.csv.ind

@@ -1,2 +1,2 @@
-hash: 5d9d05238386e4f818f4d6f1ca051bc7
+hash: 0e4d3a861e516f3da5a725b001308a0b
 

visualizations/data/gw-conditions-daily-proportions.csv.ind

@@ -1,2 +1,2 @@
-hash: 5d9d05238386e4f818f4d6f1ca051bc7
+hash: 0e4d3a861e516f3da5a725b001308a0b
 

visualizations/data/gw-conditions-peaks-timeseries-beta.csv.ind

@@ -1,2 +1,2 @@
-hash: 15f470784c897971afd9c7a7f63366b2
+hash: 96dd18b3f4dcbb8f40ad313d31cc557e
 

visualizations/data/gw-conditions-peaks-timeseries-live.csv.ind

@@ -1,2 +1,2 @@
-hash: 15f470784c897971afd9c7a7f63366b2
+hash: 96dd18b3f4dcbb8f40ad313d31cc557e
 

visualizations/data/gw-conditions-peaks-timeseries.csv.ind

@@ -1,2 +1,2 @@
-hash: 15f470784c897971afd9c7a7f63366b2
+hash: 96dd18b3f4dcbb8f40ad313d31cc557e
 

visualizations/data/gw-conditions-site-coords-beta.csv.ind

@@ -1,2 +1,2 @@
-hash: e2694c1d4d74f9e2ffd76c2f2c11f955
+hash: c7ff8cde36e85a4628db2b115a7702df
 

visualizations/data/gw-conditions-site-coords-live.csv.ind

@@ -1,2 +1,2 @@
-hash: e2694c1d4d74f9e2ffd76c2f2c11f955
+hash: c7ff8cde36e85a4628db2b115a7702df
 

visualizations/data/gw-conditions-site-coords.csv.ind

@@ -1,2 +1,2 @@
-hash: e2694c1d4d74f9e2ffd76c2f2c11f955
+hash: c7ff8cde36e85a4628db2b115a7702df
 

visualizations/data/gw-conditions-time-labels-beta.csv.ind

@@ -1,2 +1,2 @@
-hash: d28ab3ba24b2f8f26b0eb7d27eb657ea
+hash: b39453520230b7444384d48eb1261b70
 

visualizations/data/gw-conditions-time-labels-live.csv.ind

@@ -1,2 +1,2 @@
-hash: d28ab3ba24b2f8f26b0eb7d27eb657ea
+hash: b39453520230b7444384d48eb1261b70
 

visualizations/data/gw-conditions-time-labels.csv.ind

@@ -1,2 +1,2 @@
-hash: d28ab3ba24b2f8f26b0eb7d27eb657ea
+hash: b39453520230b7444384d48eb1261b70