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-rw-r--r--csit.infra.dash/app/cdash/report/graphs.py16
1 files changed, 11 insertions, 5 deletions
diff --git a/csit.infra.dash/app/cdash/report/graphs.py b/csit.infra.dash/app/cdash/report/graphs.py
index 5af962158e..411a599b1c 100644
--- a/csit.infra.dash/app/cdash/report/graphs.py
+++ b/csit.infra.dash/app/cdash/report/graphs.py
@@ -11,10 +11,9 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-"""
+"""Implementation of graphs for iterative data.
"""
-import re
import plotly.graph_objects as go
import pandas as pd
@@ -47,13 +46,20 @@ def select_iterative_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame:
else:
return None
- core = str() if itm["dut"] == "trex" else f"{itm['core']}"
- ttype = "ndrpdr" if itm["testtype"] in ("ndr", "pdr") else itm["testtype"]
+ if itm["testtype"] in ("ndr", "pdr"):
+ test_type = "ndrpdr"
+ elif itm["testtype"] == "mrr":
+ test_type = "mrr"
+ elif itm["area"] == "hoststack":
+ test_type = "hoststack"
df = data.loc[(
(data["release"] == itm["rls"]) &
- (data["test_type"] == ttype) &
+ (data["test_type"] == test_type) &
(data["passed"] == True)
)]
+
+ core = str() if itm["dut"] == "trex" else f"{itm['core']}"
+ ttype = "ndrpdr" if itm["testtype"] in ("ndr", "pdr") else itm["testtype"]
regex_test = \
f"^.*[.|-]{nic}.*{itm['framesize']}-{core}-{drv}{itm['test']}-{ttype}$"
df = df[