Fix test_format_metrics_time_series datetime failure

pandas.Timestamp doesn't represent local time but UTC. This makes the test
fails as the returned timestamp has 2h difference from the value of
datetime.datetime which instead gets the local time.
Additional changes are just pep considerations regarding longest line limits.

Signed-off-by: ybonatakis <[email protected]>

tests/test_formater_influxdb.py

@@ -1,17 +1,21 @@
 from datetime import datetime, timedelta
 from formatters.influxdb_formatter import MetricsInfluxdbFormatter
 from metrics.metrics_result import MetricsResults, MetricsTimeSeries
+import pytz
 
 
 def test_format_metrics_results():
     date = datetime.now()
-    metrics = MetricsResults(data={"v1": 1, "v2": 1, "v3": 2}, metadata={"project": 1}, date=date)
+    metrics = MetricsResults(data={"v1": 1, "v2": 1, "v3": 2},
+                             metadata={"project": 1},
+                             date=date)
     lines = MetricsInfluxdbFormatter.format("test", metrics)
-    assert lines[0] == f"test,project=1 v1=1,v2=1,v3=2 {int(date.timestamp() * 1e9)}"
+    date_as_e9 = int(date.timestamp() * 1e9)
+    assert lines[0] == f"test,project=1 v1=1,v2=1,v3=2 {date_as_e9}"
 
 
 def test_format_metrics_time_series():
-    date1 = datetime.now()
+    date1 = datetime.now(tz=pytz.UTC)
     date2 = date1 + timedelta(days=1)
     metrics_time_series = MetricsTimeSeries()
 
@@ -22,15 +26,18 @@ def test_format_metrics_time_series():
             {"date": date2, "v1": 2, "v2": 2, "v3": 3},
         ]
     )
-
     lines = MetricsInfluxdbFormatter.format("test", metrics_time_series)
-    assert lines[0] == f"test,project=containers v1=1,v2=1,v3=2 {int(date1.timestamp() * 1e9)}"
-    assert lines[1] == f"test,project=containers v1=2,v2=2,v3=3 {int(date2.timestamp() * 1e9)}"
+    date1_as_e9 = int(date1.timestamp() * 1e9)
+    date2_as_e9 = int(date2.timestamp() * 1e9)
+    assert lines[0] == f"test,project=containers v1=1,v2=1,v3=2 {date1_as_e9}"
+    assert lines[1] == f"test,project=containers v1=2,v2=2,v3=3 {date2_as_e9}"
 
 
 def test_print_metrics_results(capsys):
     date = datetime.now()
-    metrics = MetricsResults(data={"v1": 1, "v2": 1, "v3": 2}, metadata={"project": 1}, date=date)
+    metrics = MetricsResults(data={"v1": 1, "v2": 1, "v3": 2},
+                             metadata={"project": 1},
+                             date=date)
     MetricsInfluxdbFormatter.print("test", metrics)
 
     captured = capsys.readouterr()