vos/ambiq-hal-sys/ambiq-sparkfun-sdk/tools/bsp_generator/rsonlite.py
2022-10-23 23:45:43 -07:00

295 lines
9.7 KiB
Python

'''
rsonlite -- an extremely lightweight version of rson.
Copyright (c) 2012, Patrick Maupin
License :: MIT
http://pypi.python.org/pypi/rsonlite
http://code.google.com/p/rson/
rsonlite makes it easy to build a file parser for
declarative hierarchical data structures using indentation.
(Spaces only, tabs not considered indentation.)
The only special characters are '#', '=', and indentation:
- Indentation denotes a key/value relationship. The
value is indented from the key.
- = Denotes the start of a free-format string. These
strings can contain '=' and '#' characters, and
even be multi-line, but every line in the string
must be indented past the initial equal sign.
Note that, for multi-line strings, indentation is
preserved but normalized such that at least one
line starts in the left column. This allows for
restructuredText or Python code to exist inside
multi-line strings.
- # Denotes the start of a line comment, when not
inside a free-format string.
The only Python objects resulting from parsing a file
with rsonlite are:
- strings:
free-format strings (described above) can
contain any character, but the whitespace
before/after the string may be stripped.
Regular strings must fit on a single line and
cannot contain '=' or '#' characters.
Regular strings may be used as keys in key/value
pairs, but free-format strings may not.
- tuple:
A key/value pair is a two-element tuple. The key is always
a string. The value is always a list.
- list:
The top level is a list, and the value element of every
key/value pair tuple is also a list. Lists can contain
strings and key/value pair tuples.
'''
import re
version = __version__ = '0.1.0'
# Our attempt at rationalizing differences between Python 2 and Python 3.
try:
basestring
except NameError:
basestring = str
class unicode: pass
# Use OrderedDict if it's available
try:
from collections import OrderedDict as stddict
except ImportError:
stddict = dict
# Splits the entire file into probable tokens.
splitter = re.compile('(\n *|=[^\n]*|#[^\n]*|[^\n#=]+)').findall
class RsonToken(str):
''' A string that may be annotated with location information
'''
def __new__(cls, s, line, col):
self = str.__new__(cls, s)
self.line = line
self.col = col
return self
def __add__(self, other):
return RsonToken(str(self) + other, self.line, self.col)
def gettoks(source):
''' Convert string into (probable) tokens
(some tokens may be recombined later, e.g. if they
contain # or = but were already inside a string)
'''
# Use "regular" strings, whatever that means for the given Python
if isinstance(source, unicode):
source = source.encode('utf-8', 'replace')
elif not isinstance(source, basestring):
source = source.decode('utf-8', 'replace')
# Convert MS-DOS or Mac line endings to the one true way, and
# prefix the source with a linefeed to simplify the tokenization.
source = '\n' + source.replace('\r\n', '\n').replace('\r', '\n')
line = 0
for tok in splitter(source):
if tok.startswith('\n'):
line += 1
col = len(tok)
else:
yield RsonToken(tok, line, col)
col += len(tok)
def multiline(lineinfo, dedent):
''' Returns one string for each line,
properly dedented.
'''
linenum = lineinfo[0].line
for tok in lineinfo:
while linenum < tok.line:
yield ''
linenum += 1
yield (tok.col - dedent) * ' ' + tok.rstrip()
linenum += 1
def getfreeformat(toklist, firsttok, firstcol):
''' Returns a free-formatted string.
'''
curline = firsttok.line
firstpart = firsttok[1:].strip() # Get past = sign
lineinfo = []
while toklist and toklist[-1].col > firstcol:
tok = toklist.pop()
if tok.line == curline:
lineinfo[-1] += tok
else:
lineinfo.append(tok)
curline = tok.line
if lineinfo:
dedent = min(tok.col for tok in lineinfo)
if firstpart:
lineinfo.insert(0, RsonToken(firstpart, firsttok.line, dedent))
firstpart = '\n'.join(multiline(lineinfo, dedent))
return RsonToken(firstpart, firsttok.line, firsttok.col)
def loads(source):
''' load a string into an rsonlite datastructure.
If the source is not a string instance, then
loads will attempt to convert it into a string
instance, by encoding to UTF-8 on Python 2,
or decoding from UTF-8 on Python 3.
'''
toklist = list(gettoks(source))
toklist.reverse()
result = [None]
stack = []
curcol = -1
curlist = result
while toklist:
tok = toklist.pop()
if tok.startswith('#'):
continue
col = tok.col
if col > curcol:
stack.append((curcol, curlist))
oldlist = curlist
curcol, curlist = col, []
oldlist[-1] = oldlist[-1], curlist
while col < curcol:
curcol, curlist = stack.pop()
if col != curcol:
err = IndentationError('unindent does not match any outer indentation level')
err.filename = '<rsonlite>'
err.lineno = tok.line
raise err
if tok.startswith('='):
curlist.append(getfreeformat(toklist, tok, col))
else:
curlist.append(RsonToken(tok.rstrip(), tok.line, tok.col))
if toklist and toklist[-1].line == tok.line:
tok = toklist.pop()
if tok.startswith('='):
curlist[-1] = curlist[-1], [getfreeformat(toklist, tok, col)]
else:
assert tok.startswith('#') # else problem in regex...
result, = result
return [] if result is None else result[1]
def dumps(data, indent=' ', initial_indent=''):
''' Dump a string loaded with loads back out.
'''
def getstring(data, indent2):
if '\n' in data:
data = ('\n'+indent2).join([''] + data.split('\n'))
return data
def recurse(data, indent2):
assert isinstance(data, list), repr(data)
for data in data:
if isinstance(data, tuple):
key, value = data
if len(value) == 1 and isinstance(value[0], basestring):
append('%s%s = %s' % (indent2, key, getstring(value[0], indent2+indent)))
else:
append('%s%s' % (indent2, key))
recurse(value, indent2 + indent)
else:
assert isinstance(data, basestring)
if '\n' in data or '=' in data or '#' in data:
append(indent2 + '=')
append(getstring(data, indent2 + ' '))
else:
append('%s%s' % (indent2, data))
result = []
append = result.append
recurse(data, initial_indent)
append('')
return '\n'.join(result)
def pretty(data, indent=' '):
''' Pretty-print a string loaded by loads into
something that makes it easy to see the actual
structure of the data. The return value of
this should be parseable by eval()
'''
def recurse(data, indent2):
assert isinstance(data, list)
for data in data:
assert isinstance(data, (tuple, basestring))
if isinstance(data, tuple) and (
len(data[1]) != 1 or not isinstance(data[1][0], basestring)):
append('%s(%s, [' % (indent2, repr(data[0])))
recurse(data[1], indent2 + indent)
append('%s])' % (indent2))
else:
append('%s%s,' % (indent2, repr(data)))
result = []
append = result.append
append('[')
recurse(data, indent)
append(']')
append('')
return '\n'.join(result)
##########################################################################
# These higher-level functions might suffice for simple data, and also
# provide a template for designing similar functions.
def stringparse(s, special=dict(true=True, false=False, null=None)):
''' This gives an example of handling the JSON special identifiers
true, false and null, and also of handling simple arrays.
'''
if s in special:
return special[s]
if s.startswith('[') and s.endswith(']'):
t = s[1:-1]
for ch in '"\'[]{}\n':
if ch in t:
return s
return [x.strip() for x in t.split(',')]
return s
def simpleparse(source, stringparse=stringparse, stddict=stddict):
''' Return the simplest structure that uses dicts instead
of tuples, and doesn't lose any source information.
Use ordered dicts if they are available.
'''
def recurse(mylist):
if len(mylist) == 1 and isinstance(mylist[0], basestring):
return stringparse(mylist[0])
keys = [x[0] for x in mylist if isinstance(x, tuple)]
if not keys:
return mylist # simple list
if len(set(keys)) == len(mylist):
return stddict((x, recurse(y)) for (x, y) in mylist)
# Complicated. Make a list that might have multiple dicts
result = []
curdict = None
for item in mylist:
if not isinstance(item, tuple):
result.append(stringparse(item))
curdict = None
continue
key, value = item
if curdict is None or key in curdict:
curdict = stddict()
result.append(curdict)
curdict[key] = recurse(value)
return result
return recurse(source if isinstance(source, list) else loads(source))