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inputtransformer.py
437 lines | 13.9 KiB | text/x-python | PythonLexer
/ IPython / core / inputtransformer.py
Thomas Kluyver
First go at new input transformation system
r10090 import abc
Thomas Kluyver
Reorganise InputTransformer decorator architecture.
r10102 import functools
Thomas Kluyver
First go at new input transformation system
r10090 import re
Thomas Kluyver
Update inputsplitter to use new input transformers
r10093 from StringIO import StringIO
Thomas Kluyver
Prototype transformer to assemble logical lines
r10105
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First go at new input transformation system
r10090 from IPython.core.splitinput import split_user_input, LineInfo
Thomas Kluyver
Now include patched copies of tokenize for Python 2 and 3.
r10110 from IPython.utils import tokenize2
from IPython.utils.tokenize2 import generate_tokens, untokenize, TokenError
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r10093
#-----------------------------------------------------------------------------
# Globals
#-----------------------------------------------------------------------------
# The escape sequences that define the syntax transformations IPython will
# apply to user input. These can NOT be just changed here: many regular
# expressions and other parts of the code may use their hardcoded values, and
# for all intents and purposes they constitute the 'IPython syntax', so they
# should be considered fixed.
ESC_SHELL = '!' # Send line to underlying system shell
ESC_SH_CAP = '!!' # Send line to system shell and capture output
ESC_HELP = '?' # Find information about object
ESC_HELP2 = '??' # Find extra-detailed information about object
ESC_MAGIC = '%' # Call magic function
ESC_MAGIC2 = '%%' # Call cell-magic function
ESC_QUOTE = ',' # Split args on whitespace, quote each as string and call
ESC_QUOTE2 = ';' # Quote all args as a single string, call
ESC_PAREN = '/' # Call first argument with rest of line as arguments
ESC_SEQUENCES = [ESC_SHELL, ESC_SH_CAP, ESC_HELP ,\
ESC_HELP2, ESC_MAGIC, ESC_MAGIC2,\
ESC_QUOTE, ESC_QUOTE2, ESC_PAREN ]
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First go at new input transformation system
r10090 class InputTransformer(object):
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r10101 """Abstract base class for line-based input transformers."""
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r10090 __metaclass__ = abc.ABCMeta
@abc.abstractmethod
def push(self, line):
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r10101 """Send a line of input to the transformer, returning the transformed
input or None if the transformer is waiting for more input.
Must be overridden by subclasses.
"""
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r10090 pass
@abc.abstractmethod
def reset(self):
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r10101 """Return, transformed any lines that the transformer has accumulated,
and reset its internal state.
Must be overridden by subclasses.
"""
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First go at new input transformation system
r10090 pass
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r10091
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Reorganise InputTransformer decorator architecture.
r10102 @classmethod
def wrap(cls, func):
"""Can be used by subclasses as a decorator, to return a factory that
will allow instantiation with the decorated object.
"""
@functools.wraps(func)
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Allow IPythonInputSplitter to accept cell magics containing blank lines
r10252 def transformer_factory(**kwargs):
return cls(func, **kwargs)
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Fix tests in IPython.core
r10097
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Reorganise InputTransformer decorator architecture.
r10102 return transformer_factory
class StatelessInputTransformer(InputTransformer):
"""Wrapper for a stateless input transformer implemented as a function."""
def __init__(self, func):
self.func = func
def __repr__(self):
return "StatelessInputTransformer(func={!r})".format(self.func)
Thomas Kluyver
First go at new input transformation system
r10090
Thomas Kluyver
Reorganise InputTransformer decorator architecture.
r10102 def push(self, line):
"""Send a line of input to the transformer, returning the
transformed input."""
return self.func(line)
def reset(self):
"""No-op - exists for compatibility."""
pass
class CoroutineInputTransformer(InputTransformer):
"""Wrapper for an input transformer implemented as a coroutine."""
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r10252 def __init__(self, coro, **kwargs):
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r10102 # Prime it
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r10252 self.coro = coro(**kwargs)
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r10102 next(self.coro)
def __repr__(self):
return "CoroutineInputTransformer(coro={!r})".format(self.coro)
def push(self, line):
"""Send a line of input to the transformer, returning the
transformed input or None if the transformer is waiting for more
input.
"""
return self.coro.send(line)
def reset(self):
"""Return, transformed any lines that the transformer has
accumulated, and reset its internal state.
"""
return self.coro.send(None)
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r10090
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Add TokenInputTransformer
r10103 class TokenInputTransformer(InputTransformer):
"""Wrapper for a token-based input transformer.
func should accept a list of tokens (5-tuples, see tokenize docs), and
return an iterable which can be passed to tokenize.untokenize().
"""
def __init__(self, func):
self.func = func
self.current_line = ""
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Revised input transformation framework.
r10106 self.line_used = False
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Prototype transformer to assemble logical lines
r10105 self.reset_tokenizer()
def reset_tokenizer(self):
self.tokenizer = generate_tokens(self.get_line)
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Add TokenInputTransformer
r10103
def get_line(self):
if self.line_used:
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r10110 raise TokenError
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Add TokenInputTransformer
r10103 self.line_used = True
return self.current_line
def push(self, line):
self.current_line += line + "\n"
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Revised input transformation framework.
r10106 if self.current_line.isspace():
return self.reset()
Thomas Kluyver
Add TokenInputTransformer
r10103 self.line_used = False
tokens = []
Thomas Kluyver
Revised input transformation framework.
r10106 stop_at_NL = False
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Add TokenInputTransformer
r10103 try:
for intok in self.tokenizer:
tokens.append(intok)
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Revised input transformation framework.
r10106 t = intok[0]
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r10110 if t == tokenize2.NEWLINE or (stop_at_NL and t == tokenize2.NL):
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r10103 # Stop before we try to pull a line we don't have yet
break
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r10110 elif t == tokenize2.ERRORTOKEN:
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r10106 stop_at_NL = True
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r10110 except TokenError:
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Add TokenInputTransformer
r10103 # Multi-line statement - stop and try again with the next line
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r10105 self.reset_tokenizer()
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r10103 return None
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Revised input transformation framework.
r10106 return self.output(tokens)
def output(self, tokens):
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r10103 self.current_line = ""
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r10105 self.reset_tokenizer()
return untokenize(self.func(tokens)).rstrip('\n')
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Add TokenInputTransformer
r10103
def reset(self):
l = self.current_line
self.current_line = ""
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Revised input transformation framework.
r10106 self.reset_tokenizer()
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Add TokenInputTransformer
r10103 if l:
return l.rstrip('\n')
Thomas Kluyver
Revised input transformation framework.
r10106 class assemble_python_lines(TokenInputTransformer):
def __init__(self):
super(assemble_python_lines, self).__init__(None)
def output(self, tokens):
return self.reset()
@CoroutineInputTransformer.wrap
def assemble_logical_lines():
"""Join lines following explicit line continuations (\)"""
line = ''
while True:
line = (yield line)
if not line or line.isspace():
continue
parts = []
while line is not None:
Thomas Kluyver
Fix for \ at end of comment, and add tests
r10112 if line.endswith('\\') and (not has_comment(line)):
parts.append(line[:-1])
line = (yield None) # Get another line
else:
parts.append(line)
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r10106 break
# Output
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Fix for \ at end of comment, and add tests
r10112 line = ''.join(parts)
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r10093
# Utilities
def _make_help_call(target, esc, lspace, next_input=None):
"""Prepares a pinfo(2)/psearch call from a target name and the escape
(i.e. ? or ??)"""
method = 'pinfo2' if esc == '??' \
else 'psearch' if '*' in target \
else 'pinfo'
arg = " ".join([method, target])
if next_input is None:
return '%sget_ipython().magic(%r)' % (lspace, arg)
else:
return '%sget_ipython().set_next_input(%r);get_ipython().magic(%r)' % \
(lspace, next_input, arg)
Thomas Kluyver
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r10101
Thomas Kluyver
Simplify input transformers...
r10107 # These define the transformations for the different escape characters.
def _tr_system(line_info):
"Translate lines escaped with: !"
cmd = line_info.line.lstrip().lstrip(ESC_SHELL)
return '%sget_ipython().system(%r)' % (line_info.pre, cmd)
def _tr_system2(line_info):
"Translate lines escaped with: !!"
cmd = line_info.line.lstrip()[2:]
return '%sget_ipython().getoutput(%r)' % (line_info.pre, cmd)
def _tr_help(line_info):
"Translate lines escaped with: ?/??"
# A naked help line should just fire the intro help screen
if not line_info.line[1:]:
return 'get_ipython().show_usage()'
return _make_help_call(line_info.ifun, line_info.esc, line_info.pre)
def _tr_magic(line_info):
"Translate lines escaped with: %"
tpl = '%sget_ipython().magic(%r)'
cmd = ' '.join([line_info.ifun, line_info.the_rest]).strip()
return tpl % (line_info.pre, cmd)
def _tr_quote(line_info):
"Translate lines escaped with: ,"
return '%s%s("%s")' % (line_info.pre, line_info.ifun,
'", "'.join(line_info.the_rest.split()) )
def _tr_quote2(line_info):
"Translate lines escaped with: ;"
return '%s%s("%s")' % (line_info.pre, line_info.ifun,
line_info.the_rest)
def _tr_paren(line_info):
"Translate lines escaped with: /"
return '%s%s(%s)' % (line_info.pre, line_info.ifun,
", ".join(line_info.the_rest.split()))
tr = { ESC_SHELL : _tr_system,
ESC_SH_CAP : _tr_system2,
ESC_HELP : _tr_help,
ESC_HELP2 : _tr_help,
ESC_MAGIC : _tr_magic,
ESC_QUOTE : _tr_quote,
ESC_QUOTE2 : _tr_quote2,
ESC_PAREN : _tr_paren }
@StatelessInputTransformer.wrap
def escaped_commands(line):
"""Transform escaped commands - %magic, !system, ?help + various autocalls.
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r10101 """
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r10107 if not line or line.isspace():
return line
lineinf = LineInfo(line)
if lineinf.esc not in tr:
return line
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r10093
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r10107 return tr[lineinf.esc](lineinf)
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r10090
_initial_space_re = re.compile(r'\s*')
_help_end_re = re.compile(r"""(%{0,2}
[a-zA-Z_*][\w*]* # Variable name
(\.[a-zA-Z_*][\w*]*)* # .etc.etc
)
(\?\??)$ # ? or ??""",
re.VERBOSE)
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r10093 def has_comment(src):
"""Indicate whether an input line has (i.e. ends in, or is) a comment.
This uses tokenize, so it can distinguish comments from # inside strings.
Parameters
----------
src : string
A single line input string.
Returns
-------
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r10109 comment : bool
True if source has a comment.
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r10093 """
readline = StringIO(src).readline
toktypes = set()
try:
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r10110 for t in generate_tokens(readline):
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r10093 toktypes.add(t[0])
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r10110 except TokenError:
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r10093 pass
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r10110 return(tokenize2.COMMENT in toktypes)
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Update inputsplitter to use new input transformers
r10093
Thomas Kluyver
More whitespace between top level functions
r10100
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r10102 @StatelessInputTransformer.wrap
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r10093 def help_end(line):
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r10090 """Translate lines with ?/?? at the end"""
m = _help_end_re.search(line)
if m is None or has_comment(line):
return line
target = m.group(1)
esc = m.group(3)
lspace = _initial_space_re.match(line).group(0)
# If we're mid-command, put it back on the next prompt for the user.
next_input = line.rstrip('?') if line.strip() != m.group(0) else None
return _make_help_call(target, esc, lspace, next_input)
Thomas Kluyver
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r10100
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r10102 @CoroutineInputTransformer.wrap
Thomas Kluyver
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r10252 def cellmagic(end_on_blank_line=False):
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r10101 """Captures & transforms cell magics.
After a cell magic is started, this stores up any lines it gets until it is
reset (sent None).
"""
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First go at new input transformation system
r10090 tpl = 'get_ipython().run_cell_magic(%r, %r, %r)'
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Fix tests in IPython.core
r10097 cellmagic_help_re = re.compile('%%\w+\?')
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First go at new input transformation system
r10090 line = ''
while True:
line = (yield line)
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r10091 if (not line) or (not line.startswith(ESC_MAGIC2)):
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First go at new input transformation system
r10090 continue
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r10097 if cellmagic_help_re.match(line):
# This case will be handled by help_end
continue
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First go at new input transformation system
r10090 first = line
body = []
line = (yield None)
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r10252 while (line is not None) and \
((line.strip() != '') or not end_on_blank_line):
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First go at new input transformation system
r10090 body.append(line)
line = (yield None)
# Output
magic_name, _, first = first.partition(' ')
magic_name = magic_name.lstrip(ESC_MAGIC2)
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r10097 line = tpl % (magic_name, first, u'\n'.join(body))
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r10091
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r10100
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r10091 def _strip_prompts(prompt1_re, prompt2_re):
"""Remove matching input prompts from a block of input."""
line = ''
while True:
line = (yield line)
if line is None:
continue
m = prompt1_re.match(line)
if m:
while m:
line = (yield line[len(m.group(0)):])
if line is None:
break
m = prompt2_re.match(line)
else:
# Prompts not in input - wait for reset
while line is not None:
line = (yield line)
Thomas Kluyver
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r10102 @CoroutineInputTransformer.wrap
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r10091 def classic_prompt():
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r10101 """Strip the >>>/... prompts of the Python interactive shell."""
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r10091 prompt1_re = re.compile(r'^(>>> )')
prompt2_re = re.compile(r'^(>>> |^\.\.\. )')
return _strip_prompts(prompt1_re, prompt2_re)
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r10102 @CoroutineInputTransformer.wrap
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r10091 def ipy_prompt():
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r10101 """Strip IPython's In [1]:/...: prompts."""
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r10091 prompt1_re = re.compile(r'^In \[\d+\]: ')
prompt2_re = re.compile(r'^(In \[\d+\]: |^\ \ \ \.\.\.+: )')
return _strip_prompts(prompt1_re, prompt2_re)
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r10100
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r10102 @CoroutineInputTransformer.wrap
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r10091 def leading_indent():
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r10101 """Remove leading indentation.
If the first line starts with a spaces or tabs, the same whitespace will be
removed from each following line until it is reset.
"""
Thomas Kluyver
More input transformers
r10091 space_re = re.compile(r'^[ \t]+')
line = ''
while True:
line = (yield line)
if line is None:
continue
m = space_re.match(line)
if m:
space = m.group(0)
while line is not None:
if line.startswith(space):
line = line[len(space):]
line = (yield line)
else:
# No leading spaces - wait for reset
while line is not None:
line = (yield line)
Thomas Kluyver
More whitespace between top level functions
r10100
Thomas Kluyver
Simplify input transformers...
r10107 assign_system_re = re.compile(r'(?P<lhs>(\s*)([\w\.]+)((\s*,\s*[\w\.]+)*))'
r'\s*=\s*!\s*(?P<cmd>.*)')
assign_system_template = '%s = get_ipython().getoutput(%r)'
@StatelessInputTransformer.wrap
def assign_from_system(line):
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r10101 """Transform assignment from system commands (e.g. files = !ls)"""
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Simplify input transformers...
r10107 m = assign_system_re.match(line)
if m is None:
return line
return assign_system_template % m.group('lhs', 'cmd')
Thomas Kluyver
Transformers for assignment from %magic and \!system calls
r10092
Thomas Kluyver
Simplify input transformers...
r10107 assign_magic_re = re.compile(r'(?P<lhs>(\s*)([\w\.]+)((\s*,\s*[\w\.]+)*))'
r'\s*=\s*%\s*(?P<cmd>.*)')
assign_magic_template = '%s = get_ipython().magic(%r)'
@StatelessInputTransformer.wrap
def assign_from_magic(line):
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r10101 """Transform assignment from magic commands (e.g. a = %who_ls)"""
Thomas Kluyver
Simplify input transformers...
r10107 m = assign_magic_re.match(line)
if m is None:
return line
return assign_magic_template % m.group('lhs', 'cmd')