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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,29 @@ | ||
| import pandas as pd | ||
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| def report_contiguous_dates( | ||
| failed: pd.DataFrame, succeeded: pd.DataFrame | ||
| ) -> pd.DataFrame: | ||
| return ( | ||
| pd.concat( | ||
| [ | ||
| failed.assign(task_state="failed").rename( | ||
| columns={"fail_date": "task_date"} | ||
| ), | ||
| succeeded.assign(task_state="succeeded").rename( | ||
| columns={"success_date": "task_date"} | ||
| ), | ||
| ] | ||
| ) | ||
| .query("task_date.between('2019-01-01', '2019-12-31')") | ||
| .sort_values(by="task_date") | ||
| .assign(num=lambda x: x.task_date.rank() - x.index) | ||
| .groupby(by=["num", "task_state"]) | ||
| .agg( | ||
| start_date=("task_date", "min"), | ||
| end_date=("task_date", "max"), | ||
| ) | ||
| .reset_index(names=["num", "period_state"]) | ||
| .drop(columns="num") | ||
| .sort_values(by="start_date") | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| WITH TasksStates AS ( | ||
| SELECT fail_date AS task_date, | ||
| "failed" AS task_state, | ||
| ROW_NUMBER() OVER (ORDER BY fail_date) AS num | ||
| FROM Failed | ||
| WHERE fail_date BETWEEN '2019-01-01' AND '2019-12-31' | ||
| UNION ALL | ||
| SELECT success_date AS task_date, | ||
| "succeeded" AS task_state, | ||
| ROW_NUMBER() OVER (ORDER BY success_date) AS num | ||
| FROM Succeeded | ||
| WHERE success_date BETWEEN '2019-01-01' AND '2019-12-31' | ||
| ), Tasks AS ( | ||
| SELECT task_state, task_date, | ||
| ROW_NUMBER() OVER (ORDER BY task_date) - num AS num | ||
| FROM TasksStates | ||
| ) | ||
| SELECT task_state AS period_state, | ||
| MIN(task_date) AS start_date, | ||
| MAX(task_date) AS end_date | ||
| FROM Tasks | ||
| GROUP BY num, task_state | ||
| ORDER BY start_date; |