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authorTibor Frank <tifrank@cisco.com>2024-06-24 11:59:56 +0000
committerTibor Frank <tifrank@cisco.com>2024-06-24 12:02:17 +0000
commit8e63a248c09cb36e725ffe4d28ccaaeb5cd27564 (patch)
tree66e28b4adc89efd298be3b50624c391b5f798b05 /csit.infra.dash/app/cdash/utils
parentf6672b034cdadfa82082ba34bd135ed4bef96446 (diff)
C-Dash: fix telemetry
Change-Id: Ic30b27e0defd91ab2fdc979569485d9f9a01e78b Signed-off-by: Tibor Frank <tifrank@cisco.com> (cherry picked from commit 1089a589b2f7abe16d1de3d0afcdca1afdd16362)
Diffstat (limited to 'csit.infra.dash/app/cdash/utils')
-rw-r--r--csit.infra.dash/app/cdash/utils/constants.py9
-rw-r--r--csit.infra.dash/app/cdash/utils/telemetry_data.py7
2 files changed, 10 insertions, 6 deletions
diff --git a/csit.infra.dash/app/cdash/utils/constants.py b/csit.infra.dash/app/cdash/utils/constants.py
index 7cdfe76ee7..3b6e125d8e 100644
--- a/csit.infra.dash/app/cdash/utils/constants.py
+++ b/csit.infra.dash/app/cdash/utils/constants.py
@@ -118,15 +118,18 @@ class Constants:
# External stylesheets.
EXTERNAL_STYLESHEETS = ["/static/dist/css/bootstrap.css", ]
- # URL to Jenkins
+ # CICD type.
+ CICD_TYPE = get_str_from_env("CICD_TYPE", "jenkins")
+
+ # URL to CICD.
URL_CICD = get_str_from_env("URL_CICD", "https://jenkins.fd.io/job/")
- # URL to logs
+ # URL to logs.
URL_LOGS = get_str_from_env(
"URL_LOGS", "https://logs.fd.io/vex-yul-rot-jenkins-1/"
)
- # URL to the documentation
+ # URL to the documentation.
URL_DOC = get_str_from_env("URL_DOC", "https://csit.fd.io/cdocs/")
URL_DOC_TRENDING = URL_DOC + "methodology/trending/analysis/"
URL_DOC_REL_NOTES = URL_DOC + "release_notes/current/"
diff --git a/csit.infra.dash/app/cdash/utils/telemetry_data.py b/csit.infra.dash/app/cdash/utils/telemetry_data.py
index 9975874d96..c63ee0057a 100644
--- a/csit.infra.dash/app/cdash/utils/telemetry_data.py
+++ b/csit.infra.dash/app/cdash/utils/telemetry_data.py
@@ -64,7 +64,7 @@ class TelemetryData:
df = pd.concat(lst_items, ignore_index=True, copy=False)
# Use only neccessary data:
- df = df[[
+ df = df[df.columns.intersection([
"job",
"build",
"dut_type",
@@ -81,7 +81,8 @@ class TelemetryData:
"result_ndr_lower_rate_value",
"result_ndr_lower_rate_unit",
"telemetry"
- ]]
+ ])]
+
# Transform metrics from strings to dataframes:
lst_telemetry = list()
for _, row in df.iterrows():
@@ -91,7 +92,7 @@ class TelemetryData:
"value": list(),
"timestamp": list()
}
-
+
# If there is no telemetry data, use empty dictionary
if row["telemetry"] is None or isinstance(row["telemetry"], float):
lst_telemetry.append(pd.DataFrame(data=d_telemetry))