def file_merged_test_results(file_spec, input_data):
"""Generate the file(s) with algorithm: file_merged_test_results specified
in the specification file.
:param file_spec: File to generate.
:param input_data: Data to process.
:type file_spec: pandas.Series
:type input_data: InputData
"""
file_name = "{0}{1}".format(file_spec["output-file"],
file_spec["output-file-ext"])
rst_header = file_spec["file-header"]
logging.info(" Generating the file {0} ...".format(file_name))
table_lst = get_files(file_spec["dir-tables"], ".csv", full_path=True)
if len(table_lst) == 0:
logging.error(" No tables to include in '{0}'. Skipping.".format(
file_spec["dir-tables"]))
return None
logging.info(" Writing file '{0}'".format(file_name))
logging.info(" Creating the data set for the {0} '{1}'.".format(
file_spec.get("type", ""), file_spec.get("title", "")))
tests = input_data.filter_data(file_spec)
tests = input_data.merge_data(tests)
logging.info(" Creating the data set for the {0} '{1}'.".format(
file_spec.get("type", ""), file_spec.get("title", "")))
suites = input_data.filter_data(file_spec, data_set="suites")
suites = input_data.merge_data(suites)
suites.sort_index(inplace=True)
with open(file_name, "w") as file_handler:
file_handler.write(rst_header)
for suite_longname, suite in suites.iteritems():
if "ndrchk" in suite_longname or "pdrchk" in suite_longname:
continue
if len(suite_longname.split(".")) <= file_spec["data-start-level"]:
continue
suite_name = suite["name"]
file_handler.write("\n{0}\n{1}\n".format(
suite_name,
get_rst_title_char(suite["level"] -
file_spec["data-start-level"] - 1) *
len(suite_name)))
file_handler.write("\n{0}\n".format(suite["doc"].replace(
'|br|', '\n\n -')))
if _tests_in_suite(suite_name, tests):
for tbl_file in table_lst:
if suite_name in tbl_file:
file_handler.write(
RST_INCLUDE_TABLE.format(
file_latex=tbl_file,
file_html=tbl_file.split("/")[-1]))
logging.info(" Done.")
def file_test_results(file_spec, input_data):
"""Generate the file(s) with algorithm: file_test_results specified in the
specification file.
:param file_spec: File to generate.
:param input_data: Data to process.
:type file_spec: pandas.Series
:type input_data: InputData
"""
file_name = "{0}{1}".format(file_spec["output-file"],
file_spec["output-file-ext"])
rst_header = file_spec["file-header"]
logging.info(" Generating the file {0} ...".format(file_name))
table_lst = get_files(file_spec["dir-tables"], ".csv", full_path=True)
if len(table_lst) == 0:
logging.error(" No tables to include in '{0}'. Skipping.".format(
file_spec["dir-tables"]))
return None
job = file_spec["data"].keys()[0]
build = str(file_spec["data"][job][0])
logging.info(" Writing file '{0}'".format(file_name))
suites = input_data.suites(job, build)[file_spec["data-start-level"]:]
suites.sort_index(inplace=True)
with open(file_name, "w") as file_handler:
file_handler.write(rst_header)
for suite_longname, suite in suites.iteritems():
suite_name = suite["name"]
file_handler.write("\n{0}\n{1}\n".format(
suite_name,
get_rst_title_char(suite["level"] -
file_spec["data-start-level"] - 1) *
len(suite_name)))
file_handler.write("\n{0}\n".format(suite["doc"].replace(
'|br|', '\n\n -')))
if _tests_in_suite(suite_name, input_data.tests(job, build)):
for tbl_file in table_lst:
if suite_name in tbl_file:
file_handler.write(
RST_INCLUDE_TABLE.format(
file_latex=tbl_file,
file_html=tbl_file.split("/")[-1]))
logging.info(" Done.")