An utility for LIS Automation framework that parses the input and output files of a test run and persists the results in an SQL Server database
$ git clone git@..
$ cd lisa-parser
$ pip install -r requirements.txt-x | --xmlfile The xml config file for the test run
-l | --logfile Log file generated by the test run
-e | --env Path to .env file that holds values for the database connection - config/.env default
-d | --dbg Logging level for the script - 2 default
Levels: 1 - Warning, 2 - Info, 3 - Debug
-k | --kvp Flag that indicates if the script searches for DistroVersion and KernelVersion from the VM - default True
$ python lisa_parser.py -x demo_files/test.xml -l demo_files/ica.log$ python lisa-parser.py -x demo_files/test.xml -l demo_files/ica.log -e path_to_env_fileThe script is structured in 4 main modules that handle file parsing, interaction with the virtual machine, database insertion and the general logic behind a test run.
The module handles the parsing of the .xml and .log files.
The xml parser uses the default xml python library - xml.etree.cElementTree
The default case involves first iterating through the section in order to skip commented tests in the next section.
First it iterates the test cases written in the section
for test in self.root.iter('suiteTest'):
tests_dict[test.text.lower()] = dict()The parser then saves specific details for each test case by looking in a separate dictionary through the get_test_details method.
Also from the XML file specific details regarding the VM are saved.
for machine in self.root.iter('vm'):
vm_dict[machine.find('vmName').text] = {
'hvServer': machine.find('hvServer').text,
'os': machine.find('os').text
}The log file is parsed by a different method that saves the parsed field in the tests_dict created previously by parsing the initial xml config file First the function goes through the log file looking for the final section called 'Test Results Summary' Using regex the script looks for specific patterns in each line and saves the values
for line in log_file:
line = line.strip()
if re.search("^VM:", line) and len(line.split()) == 2:
vm_name = line.split()[1]The class handles the main interaction with the virtual machine, providing also a logical representation for the VM.
The interaction involves constructing and sending powershell commands to a specific virtual machine It uses the subprocess module in order to run the commands.
def execute_command(command_arguments):
ps_command = subprocess.Popen(
command_arguments,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE
)The main flow of the parsing and insertion process is handled by the TestRun class. It uses 3 main methods to handle the parsing and updating test run related info (update_from_xml, update_from_ica, update_from_vm):
All the information is handled by a method that formats data in order to be processed by the functions from the sql_utils module - parse_for_db_insertion()
Database interaction is handled by the pyodbc module, connection variables being saved in the .env file.
The main method, insert_values, expects a dict in which the keys represent the table column names and the values are the final values to be inserted
def insert_values(cursor, table_name, values_dict):
insert_command = Template('insert into $tableName($columns)'
' values($values)')
cursor.execute(insert_command.substitute(
tableName=table_name,
columns=', '.join(values_dict.keys()),
values=', '.join("'" + item + "'" for item in values_dict.values())
))Copyright (c) Cloudbase Solutions 2016 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.