change metrics names

UnitTestBot · SBOne-Kenobi · Nov 9, 2022 · Oct 24, 2022 · Nov 2, 2022 · Nov 2, 2022
commit dfef0ea63860f1ff0a6613297309de5d74e3e619
diff --git a/monitoring/prepare_metrics.py b/monitoring/prepare_metrics.py
@@ -5,7 +5,47 @@
 from utils import load
 
 
+def remove_in_class(name: str) -> str:
+    in_class = "_in_class"
+    idx = name.find(in_class)
+    if idx == -1:
+        return name
+    return name[:idx] + name[idx:].removeprefix(in_class)
+
+
+def update_from_counter_name(key_word: str, name: str, labels: dict) -> str:
+    if name == f"total_{key_word}":
+        labels["type"] = "total"
+        return key_word
+    if name.startswith(key_word):
+        labels["type"] = name.removeprefix(f"{key_word}_")
+        return key_word
+    return name
+
+
+def update_from_coverage(name: str, labels: dict) -> str:
+    coverage_key = "bytecode_instruction_coverage"
+    idx = name.find(coverage_key)
+    if idx == -1:
+        return name
+    labels["type"] = name[:idx - 1]
+    source = name[idx:].removeprefix(f"{coverage_key}")
+    if len(source) > 0:
+        source = source.removeprefix("_by_")
+        if source == "classes":
+            labels["type"] = "averaged_by_classes"
+        else:
+            labels["source"] = source
+    return coverage_key
+
+
 def build_metric_struct(name: str, value: any, labels: dict) -> dict:
+    name = remove_in_class(name)
+    name = update_from_counter_name("classes", name, labels)
+    name = update_from_counter_name("methods", name, labels)
+    name = update_from_coverage(name, labels)
+
+    name = f"utbot_{name}"
     return {
         "metric": name,
         "labels": labels,
@@ -22,7 +62,7 @@ def build_metrics_from_data(data: dict, labels: dict) -> List[dict]:
     }
     metrics = data["metrics"]
     for metric in metrics:
-        result.append(build_metric_struct(metric, metrics[metric], new_labels))
+        result.append(build_metric_struct(metric, metrics[metric], new_labels.copy()))
     return result
 
 
@@ -86,6 +126,7 @@ def main():
     stats = load(args.stats_file)
     runner = stats["metadata"]["environment"]["host"]
     metrics = build_metrics_from_targets(stats["targets"], runner)
+    metrics.sort(key=lambda x: x["metric"])
     with open(args.output_file, "w") as f:
         json.dump(metrics, f, indent=4)