implementing results csv and local to local

benchmark.py

@@ -0,0 +1,36 @@
+# copyright: Canonical
+"Run the bench cases (remote to local)."
+import datetime
+import subprocess
+from pathlib import Path
+
+from loguru import logger as log
+
+
+def run_single_bench(
+    runnum,
+    test_case,
+    files_type,
+    source,
+    target,
+    results,
+):
+    log.info(f"Syncing {runnum} {test_case} {files_type}")
+    start = datetime.datetime.now()
+    subprocess.run(
+        [
+            "rsync",
+            "-a",
+            f"{source}",
+            f"{target}",
+        ],
+        capture_output=True,
+        # shell=True,
+    )
+    time = datetime.datetime.now() - start
+    size = sum(f.stat().st_size for f in Path(target).glob("**/*") if f.is_file())
+    size_MB = size / 1000 / 1000 / 8
+    speed = size_MB / time.total_seconds()
+    log.info(f"{files_type} - {speed} MB/s")
+    subprocess.run(["rm", "-rf", target])
+    results.add([runnum, test_case, files_type, speed, time.total_seconds(), size_MB])

results_tools.py

@@ -0,0 +1,23 @@
+# copyright: Canonical
+"Tools for managing results."
+import csv
+from uuid import uuid4
+
+
+class Results:
+    def __init__(self, *args, **kwargs):
+        self.result_list = [["Run num", "test_case", "files", "MB/s", "time", "full size"]]
+
+    def add(self, row: list) -> None:
+        """Add a row to the results lists.
+
+        Args:
+            row (list): a row of results.
+        """
+        self.result_list.append(row)
+
+    def save_to_csv(self) -> None:
+        """Save results to csv file in the current directory."""
+        with open(f"results{uuid4()}.csv", "w") as f:
+            cw = csv.writer(f)
+            cw.writerows(self.result_list)

run.py

@@ -1,46 +1,41 @@
-"Run the bench cases."
 # copyright: Canonical
-import datetime
+"Run the bench cases (remote to local)."
 import json
-import subprocess
-from pathlib import Path
 
-from loguru import logger as log
+import click
 
+from benchmark import run_single_bench
 from definitions import BENCH_DIR_NAMES, CEPH_ROOT, INST_STO_ROOT, REMOTE_INST_STO_ROOT, SERV_URL
+from results_tools import Results
 
-RESULTS = [["Run num", "test_case", "files", "MB/s", "time", "full size"]]
+results = Results()
 
 
-def run_single_bench(
+@click.group()
-    runnum,
+def cli():
-    test_case,
+    pass
-    files_type,
-    source,
-    target,
-):
-    log.info(f"Syncing {runnum} {test_case} {files_type}")
-    start = datetime.datetime.now()
-    subprocess.run(
-        [
-            "rsync",
-            "-a",
-            f"{source}",
-            f"{target}",
-        ],
-        capture_output=True,
-        # shell=True,
-    )
-    time = datetime.datetime.now() - start
-    size = sum(f.stat().st_size for f in Path(target).glob("**/*") if f.is_file())
-    size_MB = size / 1000 / 1000 / 8
-    speed = size_MB / time.total_seconds()
-    log.info(f"{files_type} - {speed} MB/s")
-    subprocess.run(["rm", "-rf", target])
-    RESULTS.append([runnum, test_case, files_type, speed, time.total_seconds(), size_MB])
 
 
-if __name__ == "__main__":
+@cli.command()
+def local():
+    click.echo("Running locally")
+    for runnum in range(50):
+        for files_type in BENCH_DIR_NAMES:
+            test_case = "Distant-InsSto to InsSto"
+            source = f"{INST_STO_ROOT}/{files_type}"
+            target = CEPH_ROOT + files_type
+            run_single_bench(
+                runnum,
+                test_case,
+                files_type,
+                source,
+                target,
+            )
+
+
+@cli.command()
+def distant():
+    click.echo("Running distant to local")
     for runnum in range(50):
         for files_type in BENCH_DIR_NAMES:
             test_case = "Distant-InsSto to InsSto"
@@ -63,6 +58,12 @@ if __name__ == "__main__":
                 files_type,
                 source,
                 target,
+                results,
             )
 
-    json.dump(RESULTS, open("results.json", "w"))
+
+if __name__ == "__main__":
+    cli()
+
+    json.dump(results.result_list, open("results.json", "w"))
+    results.save_to_csv()