I'm working with a propriety driving simulator which generates "scenario" files in a customised version of Scilab. I am provided a single 11,000 line long "master" file, and from this I need to replace certain values to generate n versions of the scenario.
A minimal example of the syntax for a single parent TASK would be something like this:
TYPEOF TASK (57)
{
LABEL="Dot 3a"/*replace with name for name in list */
TASK_KIND="0"
TYPEOF VARIABLE (53)
{
LABEL="Time1"
TYPE="FLOAT"
VALUE="14.000000" /* replace with random.integer() */
INTERACTIVE="VOID"
TYPEOF VARIABLE (54)
{
LABEL="X_pos1"
TYPE="FLOAT"
VALUE="23.600000"
INTERACTIVE="VOID"
TYPEOF TASK (58)
{
LABEL="Task: ISI"
TASK_KIND="0"
TYPEOF RULE (115)
{
LABEL="Rule: Go to subtask after Time1 seconds"
TYPEOF CONDITION (SUPERIOR)
{
IS_EXPANDED="1"
MODIFIER="BECOMES_TRUE"
TYPEOF PARAMETER (OPERAND_1)
{
KIND="FUNCTION"
TYPEOF FUNCTION (GET_TASK_CLOCK)
{
}
OWNER_FILE=""
}
TYPEOF PARAMETER (OPERAND_2)
{
KIND="VARIABLE"
VALUE="53"
OWNER_FILE=""
}
}
TYPEOF ACTION (GOTO_TASK)
{
IS_EXPANDED="1"
TYPEOF PARAMETER (TASK_NUMBER)
{
KIND="ENUM"
VALUE="GOTO_NEXT_TASK"
OWNER_FILE=""
}
}
}
}
I need to replace certain values in this script with standard input. For instance, have a list of names which will replace the value of LABEL under a parent level TASK; and have to replace VALUE for first parent VARIABLE with a random number between 6 and 16.
My first solution was Python REGEX based, something like follows (but for every value I seek to change):
for row in scenarioInput:
parenttaskmatch = re.search("^\t\tTYPEOF TASK",row)
if parenttaskmatch:
replacementrow = re.sub(r"([0-9]{1,3})",repl,row)
It was suggested to me that I could write a custom grammar with something like Parsimonious and then regenerate the output with Mustache.
from parsimonious.grammar import Grammar
grammar = Grammar(r"""
any = task / data
task = "TYPEOF " key " (" number ")" newline open_curly any+ close_curly
data = key "=" quote text quote newline
open_curly = "{" newline
close_curly = "}" newline
key = ~"[A-Z 0-9_]*"
text = ~"[A-Z0-9 ]*"i
number = ~"[0-9]*"
newline = "\n"
space = " "
quote = "\""
""")
text = open('example_driving_rule.sci').read()
grammar.parse(text)
# Note doesn't work
As you can see, this is not an efficient solution to the problem either. What do you guys think is a better solution?
May be you can transform your file to a Scilab Script which generate a file with the new values.
The transformation is quite simple First in Scilab (to be done once)
For each experiment, with a text editor modify the generated script to replace the default values by the expected one (may be by reading these values from a file, or ....)
See the example below Time1 value is generated by grand, X_pos1 is read from Scilab console