import sys from typing import List from traitlets import Bool from yap4py.systuples import * from yap4py.yapi import * from IPython.core.completer import Completer # import IPython.core from IPython.core.inputsplitter import * from IPython.core.inputtransformer import * from IPython.core.interactiveshell import * from ipython_genutils.py3compat import builtin_mod import copy import json from yap_kernel.displayhook import ZMQShellDisplayHook import traceback global engine def tracefunc(frame, event, arg, indent=[0]): if event == "call": indent[0] += 2 print( "-" * indent[0] + "> call function", frame.f_code.co_name ) elif event == "return": print( "<" + "-" * indent[0], "exit function", frame.f_code.co_name ) indent[0] -= 2 return tracefunc class YAPInputSplitter(InputSplitter): """An input splitter that recognizes all of iyap's special syntax.""" # String with raw, untransformed input. source_raw = '' # Flag to track when a transformer has stored input that it hasn't given # back yet. transformer_accumulating = False # Flag to track when assemble_yap_lines has stored input that it hasn't # given back yet. within_yap_line = False # Private attributes # List with lines of raw input accumulated so far. _buffer_raw = None def __init__(self, engine=None, shell=None, line_input_checker=True, physical_line_transforms=None, logical_line_transforms=None): self._buffer_raw = [] self._validate = True self.engine = engine self.shell = shell if physical_line_transforms is not None: self.physical_line_transforms = physical_line_transforms else: self.physical_line_transforms = [ leading_indent(), classic_prompt(), ipy_prompt(), cellmagic(end_on_blank_line=line_input_checker), ] self.assemble_logical_lines = assemble_logical_lines() if logical_line_transforms is not None: self.logical_line_transforms = logical_line_transforms else: self.logical_line_transforms = [ help_end(), escaped_commands(), assign_from_magic(), assign_from_system(), ] @property def transforms(self): "Quick access to all transformers." return self.physical_line_transforms + \ [self.assemble_logical_lines] + self.logical_line_transforms @property def transforms_in_use(self): """Transformers, excluding logical line transformers if we're in a Python line.""" t = self.physical_line_transforms + \ [self.assemble_logical_lines] + self.logical_line_transforms return t def validQuery(self, text, engine, shell, line=None): """Return whether a legal query """ if shell and text == shell.os: return True if not line: line = text.rstrip() self.errors = [] engine.mgoal(errors(self, line),"user",True) return self.errors == [] def reset(self): """Reset the input buffer and associated state.""" #super(YAPInputSplitter, self).reset() self._buffer_raw[:] = [] self.source_raw = '' self.transformer_accumulating = False for t in self.transforms: try: t.reset() except SyntaxError: # Nothing that calls reset() expects to handle transformer # errors pass def flush_transformers(self): def _flush(transform, outs): """yield transformed lines always strings, never None transform: the current transform outs: an iterable of previously transformed inputs. Each may be multiline, which will be passed one line at a time to transform. """ for out in outs: for line in out.splitlines(): # push one line at a time tmp = transform.push(line) if tmp is not None: yield tmp # reset the transform tmp = transform.reset() if tmp is not None: yield tmp out = [] for t in self.transforms: out = _flush(t, out) out = list(out) if out: self._store('\n'.join(out)) def raw_reset(self): """Return raw input only and perform a full reset. """ out = self.source_raw self.reset() return out def source_reset(self): try: self.flush_transformers() return self.source finally: self.reset() def push_accepts_more(self): if self.transformer_accumulating: return True else: return self.validQuery(self.source, engine, self.shell) def transform_cell(self, cell): """Process and translate a cell of input. """ self.reset() try: self.push(cell) self.flush_transformers() return self.source finally: self.reset() def push(self, lines): """Push one or more lines of IPython input. This stores the given lines and returns a status code indicating whether the code forms a complete Python block or not, after processing all input lines for special IPython syntax. Any exceptions generated in compilation are swallowed, but if an exception was produced, the method returns True. Parameters ---------- lines : string One or more lines of Python input. Returns ------- is_complete : boolean True if the current input source (the result of the current input plus prior inputs) forms a complete Python execution block. Note that this value is also stored as a private attribute (_is_complete), so it can be queried at any time. """ # We must ensure all input is pure unicode lines = cast_unicode(lines, self.encoding) # ''.splitlines() --> [], but we need to push the empty line to transformers lines_list = lines.splitlines() if not lines_list: lines_list = [''] # Store raw source before applying any transformations to it. Note # that this must be done *after* the reset() call that would otherwise # flush the buffer. self._store(lines, self._buffer_raw, 'source_raw') transformed_lines_list = [] for line in lines_list: transformed = self._transform_line(line) if transformed is not None: transformed_lines_list.append(transformed) if transformed_lines_list: transformed_lines = '\n'.join(transformed_lines_list) else: # Got nothing back from transformers - they must be waiting for # more input. return False def _transform_line(self, line): """Push a line of input code through the various transformers. Returns any output from the transformers, or None if a transformer is accumulating lines. Sets self.transformer_accumulating as a side effect. """ def _accumulating(dbg): #print(dbg) self.transformer_accumulating = True return None for transformer in self.physical_line_transforms: line = transformer.push(line) if line is None: return _accumulating(transformer) for transformer in self.logical_line_transforms: line = transformer.push(line) if line is None: return _accumulating(transformer) #print("transformers clear") #debug self.transformer_accumulating = False return line class YAPCompleter(Completer): greedy = Bool(False, help="""Activate greedy completion PENDING DEPRECTION. this is now mostly taken care of with Jedi. This will enable completion on elements of lists, results of function calls, etc., but can be unsafe because the code is actually evaluated on TAB. """ ).tag(config=True) debug = Bool(default_value=False, help='Enable debug for the Completer. Mostly print extra ' 'information for experimental jedi integration.') \ .tag(config=True) backslash_combining_completions = Bool(True, help="Enable unicode completions, e.g. \\alpha . " "Includes completion of latex commands, unicode names, and expanding " "unicode characters back to latex commands.").tag(config=True) def __init__(self, namespace=None, global_namespace=None, shell=None, **kwargs): """Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer instance. """ self.shell = shell self.magic_escape = ESC_MAGIC super(Completer, self).__init__(**kwargs) def complete(self, text, line=None, cursor_pos=None): """Return the completed text and a list of completions. Parameters ---------- text : string A string of text to be completed on. It can be given as empty and instead a line/position pair are given. In this case, the completer itself will split the line like readline does. This is called successively with state == 0, 1, 2, ... until it returns None. The completion should begin with 'text'. line : string, optional The complete line that text is part of. cursor_pos : int, optional The position of the cursor on the input line. Returns ------- text : string The actual text that was completed. matches : list A sorted list with all possible completions. The optional arguments allow the completion to take more context into account, and are part of the low-level completion API. This is a wrapper around the completion mechanism, similar to what readline does at the command line when the TAB key is hit. By exposing it as a method, it can be used by other non-readline environments (such as GUIs) for text completion. Simple usage example: In [1]: x = 'hello' In [2]: _ip.complete('x.l') Out[2]: ('x.l', ['x.ljust', 'x.lower', 'x.lstrip']) """ if not text: text = line[:cursor_pos] return self.completions(text, cursor_pos) def magic_matches(self, text): """Match magics""" # Get all shell magics now rather than statically, so magics loaded at # runtime show up too. lsm = self.shell.magics_manager.lsmagic() line_magics = lsm['line'] cell_magics = lsm['cell'] pre = self.magic_escape pre2 = pre+pre explicit_magic = text.startswith(pre) # Completion logic: # - user gives %%: only do cell magics # - user gives %: do both line and cell magics # - no prefix: do both # In other words, line magics are skipped if the user gives %% explicitly # # We also exclude magics that match any currently visible names: # https://github.com/ipython/ipython/issues/4877, unless the user has # typed a %: # https://github.com/ipython/ipython/issues/10754 bare_text = text.lstrip(pre) global_matches = [] if not explicit_magic: def matches(magic): """ Filter magics, in particular remove magics that match a name present in global namespace. """ return ( magic.startswith(bare_text) and magic not in global_matches ) else: def matches(magic): return magic.startswith(bare_text) comp = [ pre2+m for m in cell_magics if matches(m)] if not text.startswith(pre2): comp += [ pre+m for m in line_magics if matches(m)] return comp def magic_config_matches(self, text:str) -> List: """ Match class names and attributes for %config magic """ texts = text.strip().split() if len(texts) > 0 and (texts[0] == 'config' or texts[0] == '%config'): # get all configuration classes classes = sorted(set([ c for c in self.shell.configurables if c.__class__.class_traits(config=True) ]), key=lambda x: x.__class__.__name__) classnames = [ c.__class__.__name__ for c in classes ] # return all classnames if config or %config is given if len(texts) == 1: return classnames # match classname classname_texts = texts[1].split('.') classname = classname_texts[0] classname_matches = [ c for c in classnames if c.startswith(classname) ] # return matched classes or the matched class with attributes if texts[1].find('.') < 0: return classname_matches elif len(classname_matches) == 1 and \ classname_matches[0] == classname: cls = classes[classnames.index(classname)].__class__ help = cls.class_get_help() # strip leading '--' from cl-args: help = re.sub(re.compile(r'^--', re.MULTILINE), '', help) return [ attr.split('=')[0] for attr in help.strip().splitlines() if attr.startswith(texts[1]) ] return [] def magic_color_matches(self, text:str) -> List: """ Match color schemes for %colors magic""" texts = text.split() if text.endswith(' '): # .split() strips off the trailing whitespace. Add '' back # so that: '%colors ' -> ['%colors', ''] texts.append('') if len(texts) == 2 and (texts[0] == 'colors' or texts[0] == '%colors'): prefix = texts[1] return [ color for color in InspectColors.keys() if color.startswith(prefix) ] return [] def completions(self, text, offset): """ Returns an iterator over the possible completions .. warning:: Unstable This function is unstable, API may change without warning. It will also raise unless use in proper context manager. Parameters ---------- text:str Full text of the current input, multi line string. offset:int Integer representing the position of the cursor in ``text``. Offset is 0-based indexed. Yields ------ :any:`Completion` object The cursor on a text can either be seen as being "in between" characters or "On" a character depending on the interface visible to the user. For consistency the cursor being on "in between" characters X and Y is equivalent to the cursor being "on" character Y, that is to say the character the cursor is on is considered as being after the cursor. Combining characters may span more that one position in the text. .. note:: If ``IPCompleter.debug`` is :any:`True` will yield a ``--jedi/ipython--`` fake Completion token to distinguish completion returned by Jedi and usual IPython completion. .. note:: Completions are not completely deduplicated yet. If identical completions are coming from different sources this function does not ensure that each completion object will only be present once. """ if text[0] == '%' and text.find('\n') > offset: magic_res = self.magic_matches(text) return text, magic_res self.matches = [] prolog_res = self.shell.engine.mgoal(completions(text, self), "user",True) return text, self.matches class YAPRun(InteractiveShell): """An enhanced, interactive shell for YAP.""" def __init__(self, shell): self.shell = shell self.engine = JupyterEngine() global engine engine = self.engine self.errors = [] self.q = None self.os = None self.it = None self.port = "None" self.answers = None self.bindings = dicts = [] self.shell.engine = self.engine self._get_exc_info = shell._get_exc_info self.iterations = 0 def showtraceback(self, exc_info): try: (etype, value, tb) = e traceback.print_exception(etype, value, tb) except: print(e) pass def syntaxErrors(self, text): """Return whether a legal query """ if not text: return [] if text == self.os: return self.errors self.errors=[] self.engine.mgoal(errors(self,text),"user",True) return self.errors def prolog(self, ccell, result): # # construct a self.query from a one-line string # self.q is opaque to Python try: # sys.settrace(tracefunc) (program, squery, _, howmany) = ccell if self.q and self.os == (program,squery): howmany += self.iterations else: if self.q: self.q.close() self.q = None self.answers = [] result.result = [] self.os = (program,squery) pg = jupyter_query(self,program,squery) self.q = Query(self.engine, pg) for v in self.q: self.iterations += 1 o = '[ ' o += str(self.iterations ) o += ' ' o += json.dumps(self.q.answer) o += ' ]\n\n' sys.stderr.write( o ) self.answers += [self.q.answer] if self.q.port == "exit": break if self.iterations == howmany: break if self.q.port != "answer" and self.iterations == howmany: self.q.close() self.q = None if self.answers: return self.answers else: return None except Exception as e: sys.stderr.write('Exception '+str(e)+' in query '+ str(self.q)+ '\n Answers'+ json.dumps( self.answers)+ '\n') has_raised = True return result.result def _yrun_cell(self, raw_cell, result, store_history=True, silent=False, shell_futures=True): """Run a complete IPython cell. Parameters ---------- raw_cell : str The code (including IPython code such as %magic functions) to run. store_history : bool If True, the raw and translated cell will be stored in IPython's history. For user code calling back into IPython's machinery, this should be set to False. silent : bool If True, avoid side-effects, such as implicit displayhooks and and logging. silent=True forces store_history=False. shell_futures : bool If True, the code will share future statements with the interactive shell. It will both be affected by previous __future__ imports, and any __future__ imports in the code will affect the shell. If False, __future__ imports are not shared in either direction. Returns ------- `result : :class:`ExecutionResult` """ # construct a query from a one-line string # q is opaque to Python # vs is the list of variables # you can print it out, the left-side is the variable name, # the right side wraps a handle to a variable #import pdb; pdb.set_trace() # #pdb.set_trace() # atom match either symbols, or if no symbol exists, strings, In this case # If any of our input transformation (input_transformer_manager or # prefilter_manager) raises an exception, we store it in this variable # so that we can display the error after logging the input and storing # it in the history. preprocessing_exc_tuple = None # try: # # Static input transformations # cell = self.shell.input_transformer_manager.transform_cell(raw_cell) # except SyntaxError: # preprocessing_exc_tuple = self.shell.syntax_error() # sys.exc_info() cell = raw_cell for i in self.errors: try: (_,lin,pos,text) = i e = self.SyntaxError( (self.cell_name, lin, pos, text+'\n')) raise e except SyntaxError: self.shell.showsyntaxerror( ) preprocessing_exc_tuple = sys.exc_info() # Store raw and processed history if store_history: self.shell.history_manager.store_inputs(self.shell.execution_count, cell, raw_cell) if not silent: self.shell.logger.log(cell, raw_cell) # # Display the exception if input processing failed. if preprocessing_exc_tuple is not None: self.showtraceback(preprocessing_exc_tuple) if store_history: self.shell.execution_count += 1 return self.error_before_exec(preprocessing_exc_tuple[2]) # Our own compiler remembers the __future__ environment. If we want to # run code with a separate __future__ environment, use the default # compiler # compiler = self.shell.compile if shell_futures else CachingCompiler() self.cell_name = str( self.shell.execution_count) self.shell.displayhook.exec_result= result cell = raw_cell.strip() while cell[0] == '%': if cell[1] == '%': ## cell magic txt0 = cell[2:].split(maxsplit = 1, sep = '\n') try: body = txt0[1][1:] magic = txt0[0].strip() except: magic = cell[2:].strip() body = "" linec = False try: [magic,line] = magic.split(maxsplit=1) except: line = "" self.shell.last_execution_succeeded = True result.result = self.shell.run_cell_magic(magic, line, body) return else: linec = True rcell = cell[1:].strip() try: [magic,cell] = rcell.split(maxsplit = 1, sep = '\n') except: magic = rcell.strip() cell = "" try: [magic,line] = magic.split(maxsplit=1) except: line = "" self.shell.last_execution_succeeded = True self.shell.run_line_magic(magic, line) # go execute the body # Give the displayhook a reference to our ExecutionResult so it # can fill in the output value. self.shell.displayhook.exec_result = result ccell = self.prolog_cell(cell) (program,squery,_ ,howmany) = ccell if howmany == 0 and not program: return result if self.syntaxErrors(program+squery+".\n") : result.result = [] return result has_raised = False try: builtin_mod.input = input self.shell.input = input self.engine.mgoal(streams(True),"user", True) #create a Trace object, telling it what to ignore, and whether to # do tracing or line-counting or both. # tracer = trace.Trace( # ignoredirs=[sys.prefix, sys.exec_prefix], # trace=1, # count=0) # # def f(self, cell, state): # state = self.jupyter_query( cell ) # run the new command using the given tracer # # tracer.runfunc(f,self,cell,state) answers = self.prolog( ccell, result ) # state = tracer.runfunc(hist # er_query( self, cell ) ) except Exception as e: has_raised = True try: (etype, value, tb) = e traceback.print_exception(etype, value, tb) except: print(e) self.shell.last_execution_succeeded = not has_raised # Reset this so later displayed values do not modify the # ExecutionResult self.shell.displayhook.exec_result = None self.shell.events.trigger('post_execute') if not silent: self.shell.events.trigger('post_run_cell') if store_history: # Write output to the database. Does nothing unless # history output logging is enabled. self.shell.history_manager.store_output(self.shell.execution_count) # Each cell is a *single* input, regardless of how many lines it has self.shell.execution_count += 1 self.engine.mgoal(streams(False),"user", True) return def prolog_cell(self, s): return cell_structure(s) def cell_structure(s): """ Trasform a text into program+query. A query is the last line if the last line is non-empty and does not terminate on a dot. You can also finish with - `*`: you request all solutions - ';'[N]: you want an answer; optionally you want N answers If the line terminates on a `*/` or starts on a `%` we assume the line is a comment. """ try: sl = s.splitlines() l = len(sl) i = 0 while i