X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_tables.py;h=4bbee51ae5dff7985e7ea0d6ee8cb8631f032364;hb=HEAD;hp=71ec431e6a87e2626c5ef02609e77bf5d1085cb6;hpb=0f6410d3c95eb28164fdd349778155c6525e1a79;p=csit.git

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
deleted file mode 100644
index 71ec431e6a..0000000000
--- a/resources/tools/presentation/generator_tables.py
+++ /dev/null
@@ -1,506 +0,0 @@
-# Copyright (c) 2017 Cisco and/or its affiliates.
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at:
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Algorithms to generate tables.
-"""
-
-
-import logging
-import csv
-import prettytable
-
-from string import replace
-
-from errors import PresentationError
-from utils import mean, stdev, relative_change
-
-
-def generate_tables(spec, data):
-    """Generate all tables specified in the specification file.
-
-    :param spec: Specification read from the specification file.
-    :param data: Data to process.
-    :type spec: Specification
-    :type data: InputData
-    """
-
-    logging.info("Generating the tables ...")
-    for table in spec.tables:
-        try:
-            eval(table["algorithm"])(table, data)
-        except NameError:
-            logging.error("The algorithm '{0}' is not defined.".
-                          format(table["algorithm"]))
-    logging.info("Done.")
-
-
-def table_details(table, input_data):
-    """Generate the table(s) with algorithm: table_detailed_test_results
-    specified in the specification file.
-
-    :param table: Table to generate.
-    :param input_data: Data to process.
-    :type table: pandas.Series
-    :type input_data: InputData
-    """
-
-    logging.info("  Generating the table {0} ...".
-                 format(table.get("title", "")))
-
-    # Transform the data
-    data = input_data.filter_data(table)
-
-    # Prepare the header of the tables
-    header = list()
-    for column in table["columns"]:
-        header.append('"{0}"'.format(str(column["title"]).replace('"', '""')))
-
-    # Generate the data for the table according to the model in the table
-    # specification
-    job = table["data"].keys()[0]
-    build = str(table["data"][job][0])
-    try:
-        suites = input_data.suites(job, build)
-    except KeyError:
-        logging.error("    No data available. The table will not be generated.")
-        return
-
-    for suite_longname, suite in suites.iteritems():
-        # Generate data
-        suite_name = suite["name"]
-        table_lst = list()
-        for test in data[job][build].keys():
-            if data[job][build][test]["parent"] in suite_name:
-                row_lst = list()
-                for column in table["columns"]:
-                    try:
-                        col_data = str(data[job][build][test][column["data"].
-                                       split(" ")[1]]).replace('"', '""')
-                        if column["data"].split(" ")[1] in ("vat-history",
-                                                            "show-run"):
-                            col_data = replace(col_data, " |br| ", "",
-                                               maxreplace=1)
-                            col_data = " |prein| {0} |preout| ".\
-                                format(col_data[:-5])
-                        row_lst.append('"{0}"'.format(col_data))
-                    except KeyError:
-                        row_lst.append("No data")
-                table_lst.append(row_lst)
-
-        # Write the data to file
-        if table_lst:
-            file_name = "{0}_{1}{2}".format(table["output-file"], suite_name,
-                                            table["output-file-ext"])
-            logging.info("      Writing file: '{}'".format(file_name))
-            with open(file_name, "w") as file_handler:
-                file_handler.write(",".join(header) + "\n")
-                for item in table_lst:
-                    file_handler.write(",".join(item) + "\n")
-
-    logging.info("  Done.")
-
-
-def table_merged_details(table, input_data):
-    """Generate the table(s) with algorithm: table_merged_details
-    specified in the specification file.
-
-    :param table: Table to generate.
-    :param input_data: Data to process.
-    :type table: pandas.Series
-    :type input_data: InputData
-    """
-
-    logging.info("  Generating the table {0} ...".
-                 format(table.get("title", "")))
-
-    # Transform the data
-    data = input_data.filter_data(table)
-    data = input_data.merge_data(data)
-    data.sort_index(inplace=True)
-
-    suites = input_data.filter_data(table, data_set="suites")
-    suites = input_data.merge_data(suites)
-
-    # Prepare the header of the tables
-    header = list()
-    for column in table["columns"]:
-        header.append('"{0}"'.format(str(column["title"]).replace('"', '""')))
-
-    for _, suite in suites.iteritems():
-        # Generate data
-        suite_name = suite["name"]
-        table_lst = list()
-        for test in data.keys():
-            if data[test]["parent"] in suite_name:
-                row_lst = list()
-                for column in table["columns"]:
-                    try:
-                        col_data = str(data[test][column["data"].
-                                       split(" ")[1]]).replace('"', '""')
-                        if column["data"].split(" ")[1] in ("vat-history",
-                                                            "show-run"):
-                            col_data = replace(col_data, " |br| ", "",
-                                               maxreplace=1)
-                            col_data = " |prein| {0} |preout| ".\
-                                format(col_data[:-5])
-                        row_lst.append('"{0}"'.format(col_data))
-                    except KeyError:
-                        row_lst.append("No data")
-                table_lst.append(row_lst)
-
-        # Write the data to file
-        if table_lst:
-            file_name = "{0}_{1}{2}".format(table["output-file"], suite_name,
-                                            table["output-file-ext"])
-            logging.info("      Writing file: '{}'".format(file_name))
-            with open(file_name, "w") as file_handler:
-                file_handler.write(",".join(header) + "\n")
-                for item in table_lst:
-                    file_handler.write(",".join(item) + "\n")
-
-    logging.info("  Done.")
-
-
-def table_performance_improvements(table, input_data):
-    """Generate the table(s) with algorithm: table_performance_improvements
-    specified in the specification file.
-
-    :param table: Table to generate.
-    :param input_data: Data to process.
-    :type table: pandas.Series
-    :type input_data: InputData
-    """
-
-    def _write_line_to_file(file_handler, data):
-        """Write a line to the .csv file.
-
-        :param file_handler: File handler for the csv file. It must be open for
-         writing text.
-        :param data: Item to be written to the file.
-        :type file_handler: BinaryIO
-        :type data: list
-        """
-
-        line_lst = list()
-        for item in data:
-            if isinstance(item["data"], str):
-                line_lst.append(item["data"])
-            elif isinstance(item["data"], float):
-                line_lst.append("{:.1f}".format(item["data"]))
-            elif item["data"] is None:
-                line_lst.append("")
-        file_handler.write(",".join(line_lst) + "\n")
-
-    logging.info("  Generating the table {0} ...".
-                 format(table.get("title", "")))
-
-    # Read the template
-    file_name = table.get("template", None)
-    if file_name:
-        try:
-            tmpl = _read_csv_template(file_name)
-        except PresentationError:
-            logging.error("  The template '{0}' does not exist. Skipping the "
-                          "table.".format(file_name))
-            return None
-    else:
-        logging.error("The template is not defined. Skipping the table.")
-        return None
-
-    # Transform the data
-    data = input_data.filter_data(table)
-
-    # Prepare the header of the tables
-    header = list()
-    for column in table["columns"]:
-        header.append(column["title"])
-
-    # Generate the data for the table according to the model in the table
-    # specification
-    tbl_lst = list()
-    for tmpl_item in tmpl:
-        tbl_item = list()
-        for column in table["columns"]:
-            cmd = column["data"].split(" ")[0]
-            args = column["data"].split(" ")[1:]
-            if cmd == "template":
-                try:
-                    val = float(tmpl_item[int(args[0])])
-                except ValueError:
-                    val = tmpl_item[int(args[0])]
-                tbl_item.append({"data": val})
-            elif cmd == "data":
-                jobs = args[0:-1]
-                operation = args[-1]
-                data_lst = list()
-                for job in jobs:
-                    for build in data[job]:
-                        try:
-                            data_lst.append(float(build[tmpl_item[0]]
-                                                  ["throughput"]["value"]))
-                        except (KeyError, TypeError):
-                            # No data, ignore
-                            continue
-                if data_lst:
-                    tbl_item.append({"data": (eval(operation)(data_lst)) /
-                                             1000000})
-                else:
-                    tbl_item.append({"data": None})
-            elif cmd == "operation":
-                operation = args[0]
-                try:
-                    nr1 = float(tbl_item[int(args[1])]["data"])
-                    nr2 = float(tbl_item[int(args[2])]["data"])
-                    if nr1 and nr2:
-                        tbl_item.append({"data": eval(operation)(nr1, nr2)})
-                    else:
-                        tbl_item.append({"data": None})
-                except (IndexError, ValueError, TypeError):
-                    logging.error("No data for {0}".format(tbl_item[1]["data"]))
-                    tbl_item.append({"data": None})
-                    continue
-            else:
-                logging.error("Not supported command {0}. Skipping the table.".
-                              format(cmd))
-                return None
-        tbl_lst.append(tbl_item)
-
-    # Sort the table according to the relative change
-    tbl_lst.sort(key=lambda rel: rel[-1]["data"], reverse=True)
-
-    # Create the tables and write them to the files
-    file_names = [
-        "{0}_ndr_top{1}".format(table["output-file"], table["output-file-ext"]),
-        "{0}_pdr_top{1}".format(table["output-file"], table["output-file-ext"]),
-        "{0}_ndr_low{1}".format(table["output-file"], table["output-file-ext"]),
-        "{0}_pdr_low{1}".format(table["output-file"], table["output-file-ext"])
-    ]
-
-    for file_name in file_names:
-        logging.info("    Writing the file '{0}'".format(file_name))
-        with open(file_name, "w") as file_handler:
-            file_handler.write(",".join(header) + "\n")
-            for item in tbl_lst:
-                if isinstance(item[-1]["data"], float):
-                    rel_change = round(item[-1]["data"], 1)
-                else:
-                    rel_change = item[-1]["data"]
-                if "ndr_top" in file_name \
-                        and "ndr" in item[1]["data"] \
-                        and rel_change >= 10.0:
-                    _write_line_to_file(file_handler, item)
-                elif "pdr_top" in file_name \
-                        and "pdr" in item[1]["data"] \
-                        and rel_change >= 10.0:
-                    _write_line_to_file(file_handler, item)
-                elif "ndr_low" in file_name \
-                        and "ndr" in item[1]["data"] \
-                        and rel_change < 10.0:
-                    _write_line_to_file(file_handler, item)
-                elif "pdr_low" in file_name \
-                        and "pdr" in item[1]["data"] \
-                        and rel_change < 10.0:
-                    _write_line_to_file(file_handler, item)
-
-    logging.info("  Done.")
-
-
-def _read_csv_template(file_name):
-    """Read the template from a .csv file.
-
-    :param file_name: Name / full path / relative path of the file to read.
-    :type file_name: str
-    :returns: Data from the template as list (lines) of lists (items on line).
-    :rtype: list
-    :raises: PresentationError if it is not possible to read the file.
-    """
-
-    try:
-        with open(file_name, 'r') as csv_file:
-            tmpl_data = list()
-            for line in csv_file:
-                tmpl_data.append(line[:-1].split(","))
-        return tmpl_data
-    except IOError as err:
-        raise PresentationError(str(err), level="ERROR")
-
-
-def table_performance_comparision(table, input_data):
-    """Generate the table(s) with algorithm: table_performance_comparision
-    specified in the specification file.
-
-    :param table: Table to generate.
-    :param input_data: Data to process.
-    :type table: pandas.Series
-    :type input_data: InputData
-    """
-
-    # Transform the data
-    data = input_data.filter_data(table)
-
-    # Prepare the header of the tables
-    try:
-        header = ["Test case",
-                  "{0} Throughput [Mpps]".format(table["reference"]["title"]),
-                  "{0} stdev [Mpps]".format(table["reference"]["title"]),
-                  "{0} Throughput [Mpps]".format(table["compare"]["title"]),
-                  "{0} stdev [Mpps]".format(table["compare"]["title"]),
-                  "Change [%]"]
-        header_str = ",".join(header) + "\n"
-    except (AttributeError, KeyError) as err:
-        logging.error("The model is invalid, missing parameter: {0}".
-                      format(err))
-        return
-
-    # Prepare data to the table:
-    tbl_dict = dict()
-    for job, builds in table["reference"]["data"].items():
-        for build in builds:
-            for tst_name, tst_data in data[job][str(build)].iteritems():
-                if tbl_dict.get(tst_name, None) is None:
-                    name = "{0}-{1}".format(tst_data["parent"].split("-")[0],
-                                            "-".join(tst_data["name"].
-                                                     split("-")[1:]))
-                    tbl_dict[tst_name] = {"name": name,
-                                          "ref-data": list(),
-                                          "cmp-data": list()}
-                tbl_dict[tst_name]["ref-data"].\
-                    append(tst_data["throughput"]["value"])
-
-    for job, builds in table["compare"]["data"].items():
-        for build in builds:
-            for tst_name, tst_data in data[job][str(build)].iteritems():
-                tbl_dict[tst_name]["cmp-data"].\
-                    append(tst_data["throughput"]["value"])
-
-    tbl_lst = list()
-    for tst_name in tbl_dict.keys():
-        item = [tbl_dict[tst_name]["name"], ]
-        if tbl_dict[tst_name]["ref-data"]:
-            item.append(round(mean(tbl_dict[tst_name]["ref-data"]) / 1000000,
-                              2))
-            item.append(round(stdev(tbl_dict[tst_name]["ref-data"]) / 1000000,
-                              2))
-        else:
-            item.extend([None, None])
-        if tbl_dict[tst_name]["cmp-data"]:
-            item.append(round(mean(tbl_dict[tst_name]["cmp-data"]) / 1000000,
-                              2))
-            item.append(round(stdev(tbl_dict[tst_name]["cmp-data"]) / 1000000,
-                              2))
-        else:
-            item.extend([None, None])
-        if item[1] is not None and item[3] is not None:
-            item.append(int(relative_change(float(item[1]), float(item[3]))))
-        if len(item) == 6:
-            tbl_lst.append(item)
-
-    # Sort the table according to the relative change
-    tbl_lst.sort(key=lambda rel: rel[-1], reverse=True)
-
-    # Generate tables:
-    # All tests in csv:
-    tbl_names = ["{0}-ndr-1t1c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"]),
-                 "{0}-ndr-2t2c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"]),
-                 "{0}-ndr-4t4c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"]),
-                 "{0}-pdr-1t1c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"]),
-                 "{0}-pdr-2t2c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"]),
-                 "{0}-pdr-4t4c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"])
-                 ]
-    for file_name in tbl_names:
-        with open(file_name, "w") as file_handler:
-            file_handler.write(header_str)
-            for test in tbl_lst:
-                if (file_name.split("-")[-3] in test[0] and    # NDR vs PDR
-                        file_name.split("-")[-2] in test[0]):  # cores
-                    test[0] = "-".join(test[0].split("-")[:-1])
-                    file_handler.write(",".join([str(item) for item in test]) +
-                                       "\n")
-
-    # All tests in txt:
-    tbl_names_txt = ["{0}-ndr-1t1c-full.txt".format(table["output-file"]),
-                     "{0}-ndr-2t2c-full.txt".format(table["output-file"]),
-                     "{0}-ndr-4t4c-full.txt".format(table["output-file"]),
-                     "{0}-pdr-1t1c-full.txt".format(table["output-file"]),
-                     "{0}-pdr-2t2c-full.txt".format(table["output-file"]),
-                     "{0}-pdr-4t4c-full.txt".format(table["output-file"])
-                     ]
-
-    for i, txt_name in enumerate(tbl_names_txt):
-        txt_table = None
-        with open(tbl_names[i], 'rb') as csv_file:
-            csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
-            for row in csv_content:
-                if txt_table is None:
-                    txt_table = prettytable.PrettyTable(row)
-                else:
-                    txt_table.add_row(row)
-        with open(txt_name, "w") as txt_file:
-            txt_file.write(str(txt_table))
-
-    # Selected tests in csv:
-    input_file = "{0}-ndr-1t1c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"])
-    with open(input_file, "r") as in_file:
-        lines = list()
-        for line in in_file:
-            lines.append(line)
-
-    output_file = "{0}-ndr-1t1c-top{1}".format(table["output-file"],
-                                               table["output-file-ext"])
-    with open(output_file, "w") as out_file:
-        out_file.write(header_str)
-        for i, line in enumerate(lines[1:]):
-            if i == table["nr-of-tests-shown"]:
-                break
-            out_file.write(line)
-
-    output_file = "{0}-ndr-1t1c-bottom{1}".format(table["output-file"],
-                                                  table["output-file-ext"])
-    with open(output_file, "w") as out_file:
-        out_file.write(header_str)
-        for i, line in enumerate(lines[-1:0:-1]):
-            if i == table["nr-of-tests-shown"]:
-                break
-            out_file.write(line)
-
-    input_file = "{0}-pdr-1t1c-full{1}".format(table["output-file"],
-                                               table["output-file-ext"])
-    with open(input_file, "r") as in_file:
-        lines = list()
-        for line in in_file:
-            lines.append(line)
-
-    output_file = "{0}-pdr-1t1c-top{1}".format(table["output-file"],
-                                               table["output-file-ext"])
-    with open(output_file, "w") as out_file:
-        out_file.write(header_str)
-        for i, line in enumerate(lines[1:]):
-            if i == table["nr-of-tests-shown"]:
-                break
-            out_file.write(line)
-
-    output_file = "{0}-pdr-1t1c-bottom{1}".format(table["output-file"],
-                                                  table["output-file-ext"])
-    with open(output_file, "w") as out_file:
-        out_file.write(header_str)
-        for i, line in enumerate(lines[-1:0:-1]):
-            if i == table["nr-of-tests-shown"]:
-                break
-            out_file.write(line)