PAL Trending: Data in txt table in Mpps

Change-Id: I3b27f95c899e2a904fe806de24f7a0d5440cb4ff
Signed-off-by: Tibor Frank <tifrank@cisco.com>

diff --git a/docs/cpta/data/index.rst b/docs/cpta/data/index.rst
index 14ada67..7c47849 100644 (file)
--- a/docs/cpta/data/index.rst
+++ b/docs/cpta/data/index.rst
@@ -5,4 +5,4 @@ The data used to generate the trending plots is available in a CSV and
 pretty ASCII formats:
 
     - `csv format <../_static/vpp/cpta-trending.csv>`_,
 pretty ASCII formats:
 
     - `csv format <../_static/vpp/cpta-trending.csv>`_,

-    - `pretty ASCII format <../_static/vpp/cpta-trending.txt>`_,
+    - `pretty ASCII format <../_static/vpp/cpta-trending.txt>`_.

diff --git a/resources/tools/presentation/generator_CPTA.py b/resources/tools/presentation/generator_CPTA.py
index 2e9abde..a1921fa 100644 (file)
--- a/resources/tools/presentation/generator_CPTA.py
+++ b/resources/tools/presentation/generator_CPTA.py
@@ -443,7 +443,7 @@ def _generate_all_charts(spec, input_data):
         file_handler.writelines(csv_table)
 
     txt_table = None
         file_handler.writelines(csv_table)
 
     txt_table = None

-    with open("{0}.csv".format("cpta-trending"), 'rb') as csv_file:
+    with open("{0}.csv".format(file_name), 'rb') as csv_file:

         csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
         header = True
         for row in csv_content:
         csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
         header = True
         for row in csv_content:


@@ -459,7 +459,7 @@ def _generate_all_charts(spec, input_data):
                             pass
                 txt_table.add_row(row)
         txt_table.align["Build Number:"] = "l"
                             pass
                 txt_table.add_row(row)
         txt_table.align["Build Number:"] = "l"

-    with open("{0}.txt".format("cpta-trending"), "w") as txt_file:
+    with open("{0}.txt".format(file_name), "w") as txt_file:

         txt_file.write(str(txt_table))
 
     # Evaluate result:
         txt_file.write(str(txt_table))
 
     # Evaluate result: