PAL Trending: Data in txt table in Mpps 42/11442/1
authorTibor Frank <tifrank@cisco.com>
Wed, 28 Mar 2018 14:58:13 +0000 (16:58 +0200)
committerTibor Frank <tifrank@cisco.com>
Wed, 28 Mar 2018 14:58:13 +0000 (16:58 +0200)
Change-Id: I3b27f95c899e2a904fe806de24f7a0d5440cb4ff
Signed-off-by: Tibor Frank <tifrank@cisco.com>
docs/cpta/data/index.rst
resources/tools/presentation/generator_CPTA.py

index 14ada67..7c47849 100644 (file)
@@ -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 format <../_static/vpp/cpta-trending.txt>`_,
+    - `pretty ASCII format <../_static/vpp/cpta-trending.txt>`_.
index 2e9abde..a1921fa 100644 (file)
@@ -443,7 +443,7 @@ def _generate_all_charts(spec, input_data):
         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:
@@ -459,7 +459,7 @@ def _generate_all_charts(spec, input_data):
                             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:

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