+ r_list.append(_table_info(job_data))
+
+ failed = job_data["failed"].to_list()[0]
+ if failed:
+ r_list.append(_table_failed(job_data, failed))
+
+ title = f"Regressions in the last {period} days"
+ regressions = {title: list(), "Last Regression": list()}
+ for itm in job_data["regressions"].to_list()[0]:
+ if itm[1] < last_day:
+ break
+ regressions[title].append(itm[0])
+ regressions["Last Regression"].append(
+ itm[1].strftime('%Y-%m-%d %H:%M'))
+ if regressions["Last Regression"]:
+ r_list.append(_table_gressions(regressions, "warning"))
+
+ title = f"Progressions in the last {period} days"
+ progressions = {title: list(), "Last Progression": list()}
+ for itm in job_data["progressions"].to_list()[0]:
+ if itm[1] < last_day:
+ break
+ progressions[title].append(itm[0])
+ progressions["Last Progression"].append(
+ itm[1].strftime('%Y-%m-%d %H:%M'))
+ if progressions["Last Progression"]:
+ r_list.append(_table_gressions(progressions, "success"))
+
+ return r_list
+
+
+def table_summary(data: pd.DataFrame, jobs: list, period: int) -> list:
+ """Generates summary (failed tests, regressions and progressions) from the
+ last week.
+
+ :param data: Trending data with calculated annomalies to be displayed in the
+ tables.
+ :param jobs: List of jobs.
+ :params period: The time period for the summary table.
+ :type data: pandas.DataFrame
+ :type job: str
+ :type period: int
+ :returns: List of tables.
+ :rtype: list
+ """