[#151] Refactor load report

Signed-off-by: Andrey Berezin <a.berezin@yadro.com>

src/frostfs_testlib/load/interfaces/summarized.py

@@ -0,0 +1,93 @@
+from dataclasses import dataclass, field
+
+from frostfs_testlib.load.load_config import LoadParams, LoadScenario
+from frostfs_testlib.load.load_metrics import get_metrics_object
+
+
+@dataclass
+class SummarizedErorrs:
+    total: int = field(default_factory=int)
+    percent: float = field(default_factory=float)
+    threshold: float = field(default_factory=float)
+    by_node: dict[str, int] = field(default_factory=dict)
+
+    def calc_stats(self, operations):
+        self.total += sum(self.by_node.values())
+
+        if not operations:
+            return
+
+        self.percent = self.total / operations * 100
+
+
+@dataclass
+class SummarizedLatencies:
+    avg: float = field(default_factory=float)
+    min: float = field(default_factory=float)
+    max: float = field(default_factory=float)
+    by_node: dict[str, dict[str, int]] = field(default_factory=dict)
+
+    def calc_stats(self):
+        if not self.by_node:
+            return
+
+        avgs = [lt["avg"] for lt in self.by_node.values()]
+        self.avg = sum(avgs) / len(avgs)
+
+        minimal = [lt["min"] for lt in self.by_node.values()]
+        self.min = min(minimal)
+
+        maximum = [lt["max"] for lt in self.by_node.values()]
+        self.max = max(maximum)
+
+
+@dataclass
+class SummarizedStats:
+    threads: int = field(default_factory=int)
+    requested_rate: int = field(default_factory=int)
+    operations: int = field(default_factory=int)
+    rate: float = field(default_factory=float)
+    throughput: float = field(default_factory=float)
+    latencies: SummarizedLatencies = field(default_factory=SummarizedLatencies)
+    errors: SummarizedErorrs = field(default_factory=SummarizedErorrs)
+    passed: bool = True
+
+    def calc_stats(self):
+        self.errors.calc_stats(self.operations)
+        self.latencies.calc_stats()
+        self.passed = self.errors.percent <= self.errors.threshold
+
+    @staticmethod
+    def collect(load_params: LoadParams, load_summaries: dict) -> dict[str, "SummarizedStats"]:
+        if load_params.scenario in [LoadScenario.gRPC_CAR, LoadScenario.S3_CAR]:
+            delete_vus = max(load_params.preallocated_deleters or 0, load_params.max_deleters or 0)
+            write_vus = max(load_params.preallocated_writers or 0, load_params.max_writers or 0)
+            read_vus = max(load_params.preallocated_readers or 0, load_params.max_readers or 0)
+        else:
+            write_vus = load_params.writers
+            read_vus = load_params.readers
+            delete_vus = load_params.deleters
+
+        summarized = {
+            "Write": SummarizedStats(threads=write_vus, requested_rate=load_params.write_rate),
+            "Read": SummarizedStats(threads=read_vus, requested_rate=load_params.read_rate),
+            "Delete": SummarizedStats(threads=delete_vus, requested_rate=load_params.delete_rate),
+        }
+
+        for node_key, load_summary in load_summaries.items():
+            metrics = get_metrics_object(load_params.scenario, load_summary)
+            for operation in metrics.operations:
+                target = summarized[operation._NAME]
+                if not operation.total_iterations:
+                    continue
+                target.operations += operation.total_iterations
+                target.rate += operation.rate
+                target.latencies.by_node[node_key] = operation.latency
+                target.throughput += operation.throughput
+                if metrics.write.failed_iterations:
+                    target.errors.by_node[node_key] = operation.failed_iterations
+
+        for operation in summarized.values():
+            operation.calc_stats()
+
+        return summarized