X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Fdata%2Fdata.py;h=3d9b8b166417cc03a3ae220a07e70319b623d925;hb=cd417be7f836eb9346fad4f87bd4f75dc1d9a429;hp=9ce09e7f8b6f21d165c3cabe1e910828647802d3;hpb=47962ee624efeaec469473a5569b59bfd230babf;p=csit.git

diff --git a/resources/tools/dash/app/pal/data/data.py b/resources/tools/dash/app/pal/data/data.py
index 9ce09e7f8b..3d9b8b1664 100644
--- a/resources/tools/dash/app/pal/data/data.py
+++ b/resources/tools/dash/app/pal/data/data.py
@@ -13,10 +13,12 @@
 
 """Prepare data for Plotly Dash."""
 
+from datetime import datetime, timedelta
 import logging
 from time import time
 
 import awswrangler as wr
+from pytz import UTC
 
 from yaml import load, FullLoader, YAMLError
 from awswrangler.exceptions import EmptyDataFrame, NoFilesFound
@@ -82,7 +84,7 @@ class Data:
     def _create_dataframe_from_parquet(self,
         path, partition_filter=None, columns=None,
         validate_schema=False, last_modified_begin=None,
-        last_modified_end=None):
+        last_modified_end=None, days=None):
         """Read parquet stored in S3 compatible storage and returns Pandas
         Dataframe.
 
@@ -116,6 +118,8 @@ class Data:
         """
         df = None
         start = time()
+        if days:
+            last_modified_begin = datetime.now(tz=UTC) - timedelta(days=days)
         try:
             df = wr.s3.read_parquet(
                 path=path,
@@ -135,8 +139,6 @@ class Data:
                     u"\n"
                     f"Creation of dataframe {path} took: {time() - start}"
                     u"\n"
-                    f"{df}"
-                    u"\n"
                 )
         except NoFilesFound as err:
             logging.error(f"No parquets found.\n{err}")
@@ -146,18 +148,35 @@ class Data:
         self._data = df
         return df
 
-    def read_stats(self):
+    def read_stats(self, days=None):
         """Read Suite Result Analysis data partition from parquet.
         """
-        lambda_f = lambda part: True if part["stats_type"] == "sra" else False
-
-        return self._create_dataframe_from_parquet(
-            path=self._get_path("statistics"),
-            partition_filter=lambda_f,
-            columns=None  # Get all columns.
+        l_stats = lambda part: True if part["stats_type"] == "sra" else False
+        l_mrr = lambda part: True if part["test_type"] == "mrr" else False
+        l_ndrpdr = lambda part: True if part["test_type"] == "ndrpdr" else False
+
+        return (
+            self._create_dataframe_from_parquet(
+                path=self._get_path("statistics"),
+                partition_filter=l_stats,
+                columns=self._get_columns("statistics"),
+                days=days
+            ),
+            self._create_dataframe_from_parquet(
+                path=self._get_path("statistics-trending"),
+                partition_filter=l_mrr,
+                columns=self._get_columns("statistics-trending"),
+                days=days
+            ),
+            self._create_dataframe_from_parquet(
+                path=self._get_path("statistics-trending"),
+                partition_filter=l_ndrpdr,
+                columns=self._get_columns("statistics-trending"),
+                days=days
+            )
         )
 
-    def read_trending_mrr(self):
+    def read_trending_mrr(self, days=None):
         """Read MRR data partition from parquet.
         """
         lambda_f = lambda part: True if part["test_type"] == "mrr" else False
@@ -165,10 +184,11 @@ class Data:
         return self._create_dataframe_from_parquet(
             path=self._get_path("trending-mrr"),
             partition_filter=lambda_f,
-            columns=self._get_columns("trending-mrr")
+            columns=self._get_columns("trending-mrr"),
+            days=days
         )
 
-    def read_trending_ndrpdr(self):
+    def read_trending_ndrpdr(self, days=None):
         """Read NDRPDR data partition from iterative parquet.
         """
         lambda_f = lambda part: True if part["test_type"] == "ndrpdr" else False
@@ -176,10 +196,11 @@ class Data:
         return self._create_dataframe_from_parquet(
             path=self._get_path("trending-ndrpdr"),
             partition_filter=lambda_f,
-            columns=self._get_columns("trending-ndrpdr")
+            columns=self._get_columns("trending-ndrpdr"),
+            days=days
         )
 
-    def read_iterative_mrr(self):
+    def read_iterative_mrr(self, days=None):
         """Read MRR data partition from iterative parquet.
         """
         lambda_f = lambda part: True if part["test_type"] == "mrr" else False
@@ -187,10 +208,11 @@ class Data:
         return self._create_dataframe_from_parquet(
             path=self._get_path("iterative-mrr"),
             partition_filter=lambda_f,
-            columns=self._get_columns("iterative-mrr")
+            columns=self._get_columns("iterative-mrr"),
+            days=days
         )
 
-    def read_iterative_ndrpdr(self):
+    def read_iterative_ndrpdr(self, days=None):
         """Read NDRPDR data partition from parquet.
         """
         lambda_f = lambda part: True if part["test_type"] == "ndrpdr" else False
@@ -198,5 +220,6 @@ class Data:
         return self._create_dataframe_from_parquet(
             path=self._get_path("iterative-ndrpdr"),
             partition_filter=lambda_f,
-            columns=self._get_columns("iterative-ndrpdr")
+            columns=self._get_columns("iterative-ndrpdr"),
+            days=days
         )