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About:

This process parses the Quake3 dedicated Server Logfiles, analyzes the entries and writes them into the database.

It was written and tested in Python2.7

The Frontend is a fully written Webfrontend to get the Database Content in a nice form. For Details read the info.txt in the frontend Directory.

Installation/Configuration:

Maybe the Systempackage python-db (python-mysqldb, ..) needs to be installed. (For using pip you need to install python-pip)

'aptitude install python-pip python-mysqldb'

Following python Packages need to be installed (with pip): pydaemon logger pymysql (or the Database you want to use) argparse sqlalchemy parse

'pip install pydaemon logger pymysql argparse sqlalchemy parse'

  • You have to create a Database.

  • Now call Quakealyzer and tell him to create the Database Structure in your empty Database: For example: ./run.py --createdatabase mysql://quakeuser:quakepassword@localhost/quakealyzerDB

  • Start Parsing process: ./run.py start --database mysql://quakeuser:quakepassword@localhost/quakealyzerDB --file /path/to/quake3_dedicated_server.log

  • Stop Parsting process: ./run.py stop

  • done (now you only need to configure the Frontend to get the Statistics viewed)

Database Connecting Syntax Examples:

sqlite:////absolute/path/to/sqlite.db mysql://username:password@hostname/mydatabase postgresql://username:password@localhost/mydatabase mssql+pymssql://username:password@hostname:port/dbname oracle://username:password@hostname:1521/sidname

Todo:

Take a look into Frontend info.txt

Contact:

For wishes, Bugs, Questions, write me a Message :-)

License:

This Webpage is Open Source and can be used for any non commercial use cases. Its a Webfrontend for Quakealyzer Backend and uses it's Database.