UTI: Add Summary to News

Change-Id: Ifa3882b36976183f628d2e3171061945ab33bf29
Signed-off-by: Tibor Frank <tifrank@cisco.com>

1 files changed, 129 insertions, 44 deletions

diff --git a/resources/tools/dash/app/pal/news/tables.py b/resources/tools/dash/app/pal/news/tables.py
index 1a6c7d2556..04b4fc975e 100644
--- a/resources/tools/dash/app/pal/news/tables.py
+++ b/resources/tools/dash/app/pal/news/tables.py
@@ -17,10 +17,88 @@
 import pandas as pd
 import dash_bootstrap_components as dbc
 
+from datetime import datetime, timedelta
+from dash import html
+
 from ..utils.constants import Constants as C
 
 
-def table_news(data: pd.DataFrame, job: str) -> list:
+def _table_info(job_data: pd.DataFrame) -> dbc.Table:
+    """Generates table with info about the job.
+
+    :param job_data: Dataframe with information about the job.
+    :type job_data: pandas.DataFrame
+    :returns: Table with job info.
+    :rtype: dbc.Table
+    """
+    return dbc.Table.from_dataframe(
+        pd.DataFrame.from_dict(
+            {
+                "Job": job_data["job"],
+                "Last Build": job_data["build"],
+                "Date": job_data["start"],
+                "DUT": job_data["dut_type"],
+                "DUT Version": job_data["dut_version"],
+                "Hosts": ", ".join(job_data["hosts"].to_list()[0])
+            }
+        ),
+        bordered=True,
+        striped=True,
+        hover=True,
+        size="sm",
+        color="info"
+    )
+
+
+def _table_failed(job_data: pd.DataFrame, failed: list) -> dbc.Table:
+    """Generates table with failed tests from the last run of the job.
+
+    :param job_data: Dataframe with information about the job.
+    :param failed: List of failed tests.
+    :type job_data: pandas.DataFrame
+    :type failed: list
+    :returns: Table with fialed tests.
+    :rtype: dbc.Table
+    """
+    return dbc.Table.from_dataframe(
+        pd.DataFrame.from_dict(
+            {
+                (
+                    f"Last Failed Tests on "
+                    f"{job_data['start'].values[0]} ({len(failed)})"
+                ): failed
+            }
+        ),
+        bordered=True,
+        striped=True,
+        hover=True,
+        size="sm",
+        color="danger"
+    )
+
+
+def _table_gressions(itms: dict, color: str) -> dbc.Table:
+    """Generates table with regressions.
+
+    :param itms: Dictionary with items (regressions or progressions) and their
+        last occurence.
+    :param color: Color of the table.
+    :type regressions: dict
+    :type color: str
+    :returns: The table with regressions.
+    :rtype: dbc.Table
+    """
+    return dbc.Table.from_dataframe(
+        pd.DataFrame.from_dict(itms),
+        bordered=True,
+        striped=True,
+        hover=True,
+        size="sm",
+        color=color
+    )
+
+
+def table_news(data: pd.DataFrame, job: str, period: int) -> list:
     """Generates the tables with news:
     1. Falied tests from the last run
     2. Regressions and progressions calculated from the last C.NEWS_TIME_PERIOD
@@ -29,57 +107,64 @@ def table_news(data: pd.DataFrame, job: str) -> list:
     :param data: Trending data with calculated annomalies to be displayed in the
         tables.
     :param job: The job name.
+    :param period: The time period (nr of days from now) taken into account.
     :type data: pandas.DataFrame
     :type job: str
+    :type period: int
+    :returns: List of tables.
+    :rtype: list
     """
 
+    last_day = datetime.utcnow() - timedelta(days=period)
+    r_list = list()
     job_data = data.loc[(data["job"] == job)]
+    r_list.append(_table_info(job_data))
+
     failed = job_data["failed"].to_list()[0]
-    regressions = {"Test Name": list(), "Last Regression": list()}
+    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]:
-        regressions["Test Name"].append(itm[0])
-        regressions["Last Regression"].append(itm[1].strftime('%Y-%m-%d %H:%M'))
-    progressions = {"Test Name": list(), "Last Progression": list()}
+        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]:
-        progressions["Test Name"].append(itm[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 [
-        dbc.Table.from_dataframe(pd.DataFrame.from_dict({
-            "Job": job_data["job"],
-            "Last Build": job_data["build"],
-            "Date": job_data["start"],
-            "DUT": job_data["dut_type"],
-            "DUT Version": job_data["dut_version"],
-            "Hosts": ", ".join(job_data["hosts"].to_list()[0])
-        }), bordered=True, striped=True, hover=True, size="sm", color="light"),
-        dbc.Table.from_dataframe(pd.DataFrame.from_dict({
-            (
-                f"Last Failed Tests on "
-                f"{job_data['start'].values[0]} ({len(failed)})"
-            ): failed
-        }), bordered=True, striped=True, hover=True, size="sm", color="light"),
-        dbc.Label(
-            class_name="p-0",
-            size="lg",
-            children=(
-                f"Regressions during the last {C.NEWS_TIME_PERIOD} days "
-                f"({len(regressions['Test Name'])})"
-            )
-        ),
-        dbc.Table.from_dataframe(
-            pd.DataFrame.from_dict(regressions),
-            bordered=True, striped=True, hover=True, size="sm", color="light"),
-        dbc.Label(
-            class_name="p-0",
-            size="lg",
-            children=(
-                f"Progressions during the last {C.NEWS_TIME_PERIOD} days "
-                f"({len(progressions['Test Name'])})"
-            )
-        ),
-        dbc.Table.from_dataframe(
-            pd.DataFrame.from_dict(progressions),
-            bordered=True, striped=True, hover=True, size="sm", color="light")
-    ]
+    return r_list
+
+
+def table_summary(data: pd.DataFrame, jobs: list) -> 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.
+    :type data: pandas.DataFrame
+    :type job: str
+    :returns: List of tables.
+    :rtype: list
+    """
+
+    r_list = list()
+    for job in jobs:
+        r_list.extend(table_news(data, job, C.NEWS_SUMMARY_PERIOD))
+        r_list.append(html.Div(html.P(" ")))
+
+    return r_list