I have some complicated function calls which i want to parse to get function name and argument list. examples of the function calls are below:
1) extend(lambda x: 'xxxx' if t='xx' else t.replace('a','').replace('b',''), ['col_name1'], 'col_name', 'string')
2) restrict(lambda x:x !=0, ['col'])
I have tried to parse this using regex but so far it fails to parse the argument list properly. i am new to pyparsing so any help is appreciated.
Those are some pretty complicated argument lists in those functions. So if you are trying to parse them, this will be a pretty big job.
However, if you just want the function name, and a string of the arguments passed in, then with pyparsing, you can use some easy short-cuts.
If you keep your plan very high-level, you can write your BNF as:
function_call ::= identifier '(' arguments ')'
idenntifier ::= word starting with alpha or '_', followed by zero or more alphanums or '_'
arguments ::= (let's not worry about this for the moment)
If we just consider the arguments as a list of items that may be nested in one or more levels of parentheses, then we can use pyparsing's nestedExpr
helper to capture them.
import pyparsing as pp
identifier = pp.Word('_' + pp.alphas, '_' + pp.alphanums)
arg_list = pp.nestedExpr() # nesting delimiters default to '(' and ')'
function_call = identifier("name") + arg_list("args")
tests = """\
extend(lambda x: 'xxxx' if t='xx' else t.replace('a','').replace('b',''), ['col_name1'], 'col_name', 'string')
restrict(lambda x:x !=0, ['col'])"""
function_call.runTests(tests)
Prints:
extend(lambda x: 'xxxx' if t='xx' else t.replace('a','').replace('b',''), ['col_name1'], 'col_name', 'string')
['extend', ['lambda', 'x:', "'xxxx'", 'if', 't=', "'xx'", 'else', 't.replace', ["'a'", ',', "''"], '.replace', ["'b'", ',', "''"], ',', '[', "'col_name1'", '],', "'col_name'", ',', "'string'"]]
- args: [['lambda', 'x:', "'xxxx'", 'if', 't=', "'xx'", 'else', 't.replace', ["'a'", ',', "''"], '.replace', ["'b'", ',', "''"], ',', '[', "'col_name1'", '],', "'col_name'", ',', "'string'"]]
[0]:
['lambda', 'x:', "'xxxx'", 'if', 't=', "'xx'", 'else', 't.replace', ["'a'", ',', "''"], '.replace', ["'b'", ',', "''"], ',', '[', "'col_name1'", '],', "'col_name'", ',', "'string'"]
[0]:
lambda
[1]:
x:
[2]:
'xxxx'
... every word in the args broken out separately
[16]:
,
[17]:
'string'
- name: 'extend'
restrict(lambda x:x !=0, ['col'])
['restrict', ['lambda', 'x:x', '!=0,', '[', "'col'", ']']]
- args: [['lambda', 'x:x', '!=0,', '[', "'col'", ']']]
[0]:
['lambda', 'x:x', '!=0,', '[', "'col'", ']']
- name: 'restrict'
If you just want the args list as a string, then you can wrap in pyparsing's originalTextFor
. Change arg_list
to:
arg_list = pp.originalTextFor(pp.nestedExpr())
Now rerunning the tests gives:
extend(lambda x: 'xxxx' if t='xx' else t.replace('a','').replace('b',''), ['col_name1'], 'col_name', 'string')
['extend', "(lambda x: 'xxxx' if t='xx' else t.replace('a','').replace('b',''), ['col_name1'], 'col_name', 'string')"]
- args: "(lambda x: 'xxxx' if t='xx' else t.replace('a','').replace('b',''), ['col_name1'], 'col_name', 'string')"
- name: 'extend'
restrict(lambda x:x !=0, ['col'])
['restrict', "(lambda x:x !=0, ['col'])"]
- args: "(lambda x:x !=0, ['col'])"
- name: 'restrict'
If you want to remove the opening and closing ()'s, and parse out the delimiting commas, that is an exercise left for the reader/OP. (If this is the case, you may want to go back to the first version, and work with the parsed-out bits of the arg list instead of the all-one-string version.)