Add new compression files and remove unnecessary files

slacgismo · Mar 14, 2024 · 4cbc8aa · 4cbc8aa
1 parent f58f4d6
commit 4cbc8aa
Show file tree

Hide file tree

Showing 23 changed files with 235 additions and 1,268 deletions.
diff --git a/compressions/1/archive.tar.gz b/compressions/1/archive.tar.gz
diff --git a/compressions/1/archive.zip b/compressions/1/archive.zip
diff --git a/compressions/1/folder.zip b/compressions/1/folder.zip
diff --git a/compressions/1/sdt-module.py b/compressions/1/sdt-module.py
diff --git a/compressions/1/submission.zip b/compressions/1/submission.zip
diff --git a/compressions/1/submission_wrapper.py b/compressions/1/submission_wrapper.py
@@ -0,0 +1,14 @@
+import numpy as np
+from solardatatools import DataHandler
+
+
+def detect_time_shifts(
+    time_series, latitude=None, longitude=None, data_sampling_frequency=None
+):
+    dh = DataHandler(time_series.to_frame())
+    dh.run_pipeline(fix_shifts=True, verbose=False)
+    estimated = np.copy(dh.time_shift_analysis.s1)
+    estimated -= dh.time_shift_analysis.baseline
+    estimated -= dh.tz_correction
+    estimated *= -60
+    return estimated
diff --git a/s3Emulator/pv-validation-hub-bucket/evaluation_scripts/1/config.json b/s3Emulator/pv-validation-hub-bucket/evaluation_scripts/1/config.json
@@ -1,40 +1,49 @@
 {
-	"category_name": "time_shifts",
-	"function_name": "detect_time_shifts",
-	"comparison_type": "time_series",
-	"performance_metrics": [ "runtime", "mean_absolute_error" ],
-	"allowable_kwargs": [ "latitude", "longitude", "data_sampling_frequency" ],
-	"ground_truth_compare": [ "time_series" ],
-	"public_results_table": "time-shift-public-metrics.json",
-	"private_results_columns": [
-		"system_id",
-		"file_name",
-		"run_time",
-		"data_requirements",
-		"mean_absolute_error_time_series",
-		"data_sampling_frequency",
-		"issue"
-	],
-	"plots": [
-		{
-			"type": "histogram",
-			"x_val": "mean_absolute_error_time_series",
-			"color_code": "issue",
-			"title": "Time Series MAE Distribution by Issue",
-			"save_file_path": "mean_absolute_error_time_series_dist.png"
-		},
-		{
-			"type": "histogram",
-			"x_val": "mean_absolute_error_time_series",
-			"color_code": "data_sampling_frequency",
-			"title": "Time Series MAE Distribution by Sampling Frequency",
-			"save_file_path": "mean_absolute_error_time_series_dist.png"
-		},
-		{
-			"type": "histogram",
-			"x_val": "run_time",
-			"title": "Run Time Distribution",
-			"save_file_path": "run_time_dist.png"
-		}
-	]
+    "category_name": "time_shifts",
+    "function_name": "detect_time_shifts",
+    "comparison_type": "time_series",
+    "performance_metrics": [
+        "runtime",
+        "mean_absolute_error"
+    ],
+    "allowable_kwargs": [
+        "latitude",
+        "longitude",
+        "data_sampling_frequency"
+    ],
+    "ground_truth_compare": [
+        "time_series"
+    ],
+    "public_results_table": "time-shift-public-metrics.json",
+    "private_results_columns": [
+        "system_id",
+        "file_name",
+        "run_time",
+        "data_requirements",
+        "mean_absolute_error_time_series",
+        "data_sampling_frequency",
+        "issue"
+    ],
+    "plots": [
+        {
+            "type": "histogram",
+            "x_val": "mean_absolute_error_time_series",
+            "color_code": "issue",
+            "title": "Time Series MAE Distribution by Issue",
+            "save_file_path": "mean_absolute_error_time_series_dist.png"
+        },
+        {
+            "type": "histogram",
+            "x_val": "mean_absolute_error_time_series",
+            "color_code": "data_sampling_frequency",
+            "title": "Time Series MAE Distribution by Sampling Frequency",
+            "save_file_path": "mean_absolute_error_time_series_dist.png"
+        },
+        {
+            "type": "histogram",
+            "x_val": "run_time",
+            "title": "Run Time Distribution",
+            "save_file_path": "run_time_dist.png"
+        }
+    ]
 }