move evaluate and evaluate_representation to evaluate folder

This commit is contained in:
Dave Halter
2013-12-24 15:14:06 +01:00
parent e4013cee77
commit cbe93298ce
7 changed files with 8 additions and 10 deletions
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"""
Evaluation of Python code in |jedi| is based on three assumptions:
* Code is recursive (to weaken this assumption, the :mod:`dynamic` module
exists).
* No magic is being used:
- metaclasses
- ``setattr()`` / ``__import__()``
- writing to ``globals()``, ``locals()``, ``object.__dict__``
* The programmer is not a total dick, e.g. like `this
<https://github.com/davidhalter/jedi/issues/24>`_ :-)
That said, there's mainly one entry point in this script: ``follow_statement``.
This is where autocompletion starts. Everything you want to complete is either
a ``Statement`` or some special name like ``class``, which is easy to complete.
Therefore you need to understand what follows after ``follow_statement``. Let's
make an example::
import datetime
datetime.date.toda# <-- cursor here
First of all, this module doesn't care about completion. It really just cares
about ``datetime.date``. At the end of the procedure ``follow_statement`` will
return the ``datetime`` class.
To *visualize* this (simplified):
- ``follow_statement`` - ``<Statement: datetime.date>``
- Unpacking of the statement into ``[[<Call: datetime.date>]]``
- ``follow_call_list``, calls ``follow_call`` with ``<Call: datetime.date>``
- ``follow_call`` - searches the ``datetime`` name within the module.
This is exactly where it starts to get complicated. Now recursions start to
kick in. The statement has not been resolved fully, but now we need to resolve
the datetime import. So it continues
- follow import, which happens in the :mod:`imports` module.
- now the same ``follow_call`` as above calls ``follow_paths`` to follow the
second part of the statement ``date``.
- After ``follow_paths`` returns with the desired ``datetime.date`` class, the
result is being returned and the recursion finishes.
Now what would happen if we wanted ``datetime.date.foo.bar``? Just two more
calls to ``follow_paths`` (which calls itself with a recursion). What if the
import would contain another Statement like this::
from foo import bar
Date = bar.baz
Well... You get it. Just another ``follow_statement`` recursion. It's really
easy. Just that Python is not that easy sometimes. To understand tuple
assignments and different class scopes, a lot more code had to be written. Yet
we're still not talking about Descriptors and Nested List Comprehensions, just
the simple stuff.
So if you want to change something, write a test and then just change what you
want. This module has been tested by about 600 tests. Don't be afraid to break
something. The tests are good enough.
I need to mention now that this recursive approach is really good because it
only *evaluates* what needs to be *evaluated*. All the statements and modules
that are not used are just being ignored. It's a little bit similar to the
backtracking algorithm.
.. todo:: nonlocal statement, needed or can be ignored? (py3k)
"""
from __future__ import with_statement
import sys
import itertools
from jedi._compatibility import next, hasattr, is_py3k, unicode, reraise, u
from jedi import common
from jedi import cache
from jedi.parser import representation as pr
from jedi import debug
from jedi.evaluate import representation as er
import recursion
import docstrings
import builtin
import imports
import dynamic
def get_defined_names_for_position(scope, position=None, start_scope=None):
"""
Return filtered version of ``scope.get_defined_names()``.
This function basically does what :meth:`scope.get_defined_names
<parsing_representation.Scope.get_defined_names>` does.
- If `position` is given, delete all names defined after `position`.
- For special objects like instances, `position` is ignored and all
names are returned.
:type scope: :class:`parsing_representation.IsScope`
:param scope: Scope in which names are searched.
:param position: The position as a line/column tuple, default is infinity.
"""
names = scope.get_defined_names()
# Instances have special rules, always return all the possible completions,
# because class variables are always valid and the `self.` variables, too.
if (not position or isinstance(scope, (er.Array, er.Instance))
or start_scope != scope
and isinstance(start_scope, (pr.Function, er.Execution))):
return names
names_new = []
for n in names:
if n.start_pos[0] is not None and n.start_pos < position:
names_new.append(n)
return names_new
def get_names_of_scope(scope, position=None, star_search=True,
include_builtin=True):
"""
Get all completions (names) possible for the current scope.
The star search option is only here to provide an optimization. Otherwise
the whole thing would probably start a little recursive madness.
This function is used to include names from outer scopes. For example,
when the current scope is function:
>>> from jedi.parser import Parser
>>> parser = Parser('''
... x = ['a', 'b', 'c']
... def func():
... y = None
... ''')
>>> scope = parser.module.subscopes[0]
>>> scope
<Function: func@3-4>
`get_names_of_scope` is a generator. First it yields names from
most inner scope.
>>> pairs = list(get_names_of_scope(scope))
>>> pairs[0]
(<Function: func@3-4>, [<Name: y@4,4>])
Then it yield the names from one level outer scope. For this
example, this is the most outer scope.
>>> pairs[1]
(<SubModule: None@1-4>, [<Name: x@2,0>, <Name: func@3,4>])
Finally, it yields names from builtin, if `include_builtin` is
true (default).
>>> pairs[2] #doctest: +ELLIPSIS
(<Module: ...builtin...>, [<Name: ...>, ...])
:rtype: [(pr.Scope, [pr.Name])]
:return: Return an generator that yields a pair of scope and names.
"""
in_func_scope = scope
non_flow = scope.get_parent_until(pr.Flow, reverse=True)
while scope:
if isinstance(scope, pr.SubModule) and scope.parent:
# we don't want submodules to report if we have modules.
scope = scope.parent
continue
# `pr.Class` is used, because the parent is never `Class`.
# Ignore the Flows, because the classes and functions care for that.
# InstanceElement of Class is ignored, if it is not the start scope.
if not (scope != non_flow and scope.isinstance(pr.Class)
or scope.isinstance(pr.Flow)
or scope.isinstance(er.Instance)
and non_flow.isinstance(er.Function)):
try:
if isinstance(scope, er.Instance):
for g in scope.scope_generator():
yield g
else:
yield scope, get_defined_names_for_position(scope,
position, in_func_scope)
except StopIteration:
reraise(common.MultiLevelStopIteration, sys.exc_info()[2])
if scope.isinstance(pr.ForFlow) and scope.is_list_comp:
# is a list comprehension
yield scope, scope.get_set_vars(is_internal_call=True)
scope = scope.parent
# This is used, because subscopes (Flow scopes) would distort the
# results.
if scope and scope.isinstance(er.Function, pr.Function, er.Execution):
in_func_scope = scope
# Add star imports.
if star_search:
for s in imports.remove_star_imports(non_flow.get_parent_until()):
for g in get_names_of_scope(s, star_search=False):
yield g
# Add builtins to the global scope.
if include_builtin:
builtin_scope = builtin.Builtin.scope
yield builtin_scope, builtin_scope.get_defined_names()
def find_name(scope, name_str, position=None, search_global=False,
is_goto=False, resolve_decorator=True):
"""
This is the search function. The most important part to debug.
`remove_statements` and `filter_statements` really are the core part of
this completion.
:param position: Position of the last statement -> tuple of line, column
:return: List of Names. Their parents are the scopes, they are defined in.
:rtype: list
"""
def remove_statements(result):
"""
This is the part where statements are being stripped.
Due to lazy evaluation, statements like a = func; b = a; b() have to be
evaluated.
"""
res_new = []
for r in result:
add = []
if r.isinstance(pr.Statement):
check_instance = None
if isinstance(r, er.InstanceElement) and r.is_class_var:
check_instance = r.instance
r = r.var
# Global variables handling.
if r.is_global():
for token_name in r.token_list[1:]:
if isinstance(token_name, pr.Name):
add = find_name(r.parent, str(token_name))
else:
# generated objects are used within executions, but these
# objects are in functions, and we have to dynamically
# execute first.
if isinstance(r, pr.Param):
func = r.parent
# Instances are typically faked, if the instance is not
# called from outside. Here we check it for __init__
# functions and return.
if isinstance(func, er.InstanceElement) \
and func.instance.is_generated \
and hasattr(func, 'name') \
and str(func.name) == '__init__' \
and r.position_nr > 0: # 0 would be self
r = func.var.params[r.position_nr]
# add docstring knowledge
doc_params = docstrings.follow_param(r)
if doc_params:
res_new += doc_params
continue
if not r.is_generated:
res_new += dynamic.search_params(r)
if not res_new:
c = r.get_commands()[0]
if c in ('*', '**'):
t = 'tuple' if c == '*' else 'dict'
res_new = [er.Instance(
find_name(builtin.Builtin.scope, t)[0])
]
if not r.assignment_details:
# this means that there are no default params,
# so just ignore it.
continue
# Remove the statement docstr stuff for now, that has to be
# implemented with the evaluator class.
#if r.docstr:
#res_new.append(r)
scopes = follow_statement(r, seek_name=name_str)
add += remove_statements(scopes)
if check_instance is not None:
# class renames
add = [er.InstanceElement(check_instance, a, True)
if isinstance(a, (er.Function, pr.Function))
else a for a in add]
res_new += add
else:
if isinstance(r, pr.Class):
r = er.Class(r)
elif isinstance(r, pr.Function):
r = er.Function(r)
if r.isinstance(er.Function) and resolve_decorator:
r = r.get_decorated_func()
res_new.append(r)
debug.dbg('sfn remove, new: %s, old: %s' % (res_new, result))
return res_new
def filter_name(scope_generator):
"""
Filters all variables of a scope (which are defined in the
`scope_generator`), until the name fits.
"""
def handle_for_loops(loop):
# Take the first statement (for has always only
# one, remember `in`). And follow it.
if not loop.inputs:
return []
result = get_iterator_types(follow_statement(loop.inputs[0]))
if len(loop.set_vars) > 1:
commands = loop.set_stmt.get_commands()
# loops with loop.set_vars > 0 only have one command
result = assign_tuples(commands[0], result, name_str)
return result
def process(name):
"""
Returns the parent of a name, which means the element which stands
behind a name.
"""
result = []
no_break_scope = False
par = name.parent
exc = pr.Class, pr.Function
until = lambda: par.parent.parent.get_parent_until(exc)
is_array_assignment = False
if par is None:
pass
elif par.isinstance(pr.Flow):
if par.command == 'for':
result += handle_for_loops(par)
else:
debug.warning('Flow: Why are you here? %s' % par.command)
elif par.isinstance(pr.Param) \
and par.parent is not None \
and isinstance(until(), pr.Class) \
and par.position_nr == 0:
# This is where self gets added - this happens at another
# place, if the var_args are clear. But sometimes the class is
# not known. Therefore add a new instance for self. Otherwise
# take the existing.
if isinstance(scope, er.InstanceElement):
inst = scope.instance
else:
inst = er.Instance(er.Class(until()))
inst.is_generated = True
result.append(inst)
elif par.isinstance(pr.Statement):
def is_execution(calls):
for c in calls:
if isinstance(c, (unicode, str)):
continue
if c.isinstance(pr.Array):
if is_execution(c):
return True
elif c.isinstance(pr.Call):
# Compare start_pos, because names may be different
# because of executions.
if c.name.start_pos == name.start_pos \
and c.execution:
return True
return False
is_exe = False
for assignee, op in par.assignment_details:
is_exe |= is_execution(assignee)
if is_exe:
# filter array[3] = ...
# TODO check executions for dict contents
is_array_assignment = True
else:
details = par.assignment_details
if details and details[0][1] != '=':
no_break_scope = True
# TODO this makes self variables non-breakable. wanted?
if isinstance(name, er.InstanceElement) \
and not name.is_class_var:
no_break_scope = True
result.append(par)
else:
# TODO multi-level import non-breakable
if isinstance(par, pr.Import) and len(par.namespace) > 1:
no_break_scope = True
result.append(par)
return result, no_break_scope, is_array_assignment
flow_scope = scope
result = []
# compare func uses the tuple of line/indent = line/column
comparison_func = lambda name: (name.start_pos)
for nscope, name_list in scope_generator:
break_scopes = []
# here is the position stuff happening (sorting of variables)
for name in sorted(name_list, key=comparison_func, reverse=True):
p = name.parent.parent if name.parent else None
if isinstance(p, er.InstanceElement) \
and isinstance(p.var, pr.Class):
p = p.var
if name_str == name.get_code() and p not in break_scopes:
r, no_break_scope, is_array_assignment = process(name)
if is_goto:
if not is_array_assignment: # shouldn't goto arr[1] =
result.append(name)
else:
result += r
# for comparison we need the raw class
s = nscope.base if isinstance(nscope, er.Class) else nscope
# this means that a definition was found and is not e.g.
# in if/else.
if result and not no_break_scope:
if not name.parent or p == s:
break
break_scopes.append(p)
while flow_scope:
# TODO check if result is in scope -> no evaluation necessary
n = dynamic.check_flow_information(flow_scope, name_str,
position)
if n:
result = n
break
if result:
break
if flow_scope == nscope:
break
flow_scope = flow_scope.parent
flow_scope = nscope
if result:
break
if not result and isinstance(nscope, er.Instance):
# __getattr__ / __getattribute__
result += check_getattr(nscope, name_str)
debug.dbg('sfn filter "%s" in (%s-%s): %s@%s'
% (name_str, scope, nscope, u(result), position))
return result
def descriptor_check(result):
"""Processes descriptors"""
res_new = []
for r in result:
if isinstance(scope, (er.Instance, er.Class)) \
and hasattr(r, 'get_descriptor_return'):
# handle descriptors
with common.ignored(KeyError):
res_new += r.get_descriptor_return(scope)
continue
res_new.append(r)
return res_new
if search_global:
scope_generator = get_names_of_scope(scope, position=position)
else:
if isinstance(scope, er.Instance):
scope_generator = scope.scope_generator()
else:
if isinstance(scope, (er.Class, pr.Module)):
# classes are only available directly via chaining?
# strange stuff...
names = scope.get_defined_names()
else:
names = get_defined_names_for_position(scope, position)
scope_generator = iter([(scope, names)])
if is_goto:
return filter_name(scope_generator)
return descriptor_check(remove_statements(filter_name(scope_generator)))
def check_getattr(inst, name_str):
"""Checks for both __getattr__ and __getattribute__ methods"""
result = []
# str is important to lose the NamePart!
module = builtin.Builtin.scope
name = pr.String(module, "'%s'" % name_str, (0, 0), (0, 0), inst)
with common.ignored(KeyError):
result = inst.execute_subscope_by_name('__getattr__', [name])
if not result:
# this is a little bit special. `__getattribute__` is executed
# before anything else. But: I know no use case, where this
# could be practical and the jedi would return wrong types. If
# you ever have something, let me know!
with common.ignored(KeyError):
result = inst.execute_subscope_by_name('__getattribute__', [name])
return result
def get_iterator_types(inputs):
"""Returns the types of any iterator (arrays, yields, __iter__, etc)."""
iterators = []
# Take the first statement (for has always only
# one, remember `in`). And follow it.
for it in inputs:
if isinstance(it, (er.Generator, er.Array, dynamic.ArrayInstance)):
iterators.append(it)
else:
if not hasattr(it, 'execute_subscope_by_name'):
debug.warning('iterator/for loop input wrong', it)
continue
try:
iterators += it.execute_subscope_by_name('__iter__')
except KeyError:
debug.warning('iterators: No __iter__ method found.')
result = []
for gen in iterators:
if isinstance(gen, er.Array):
# Array is a little bit special, since this is an internal
# array, but there's also the list builtin, which is
# another thing.
result += gen.get_index_types()
elif isinstance(gen, er.Instance):
# __iter__ returned an instance.
name = '__next__' if is_py3k else 'next'
try:
result += gen.execute_subscope_by_name(name)
except KeyError:
debug.warning('Instance has no __next__ function', gen)
else:
# is a generator
result += gen.iter_content()
return result
def assign_tuples(tup, results, seek_name):
"""
This is a normal assignment checker. In python functions and other things
can return tuples:
>>> a, b = 1, ""
>>> a, (b, c) = 1, ("", 1.0)
Here, if `seek_name` is "a", the number type will be returned.
The first part (before `=`) is the param tuples, the second one result.
:type tup: pr.Array
"""
def eval_results(index):
types = []
for r in results:
try:
func = r.get_exact_index_types
except AttributeError:
debug.warning("invalid tuple lookup %s of result %s in %s"
% (tup, results, seek_name))
else:
with common.ignored(IndexError):
types += func(index)
return types
result = []
for i, stmt in enumerate(tup):
# Used in assignments. There is just one call and no other things,
# therefore we can just assume, that the first part is important.
command = stmt.get_commands()[0]
if tup.type == pr.Array.NOARRAY:
# unnessecary braces -> just remove.
r = results
else:
r = eval_results(i)
# LHS of tuples can be nested, so resolve it recursively
result += find_assignments(command, r, seek_name)
return result
def find_assignments(lhs, results, seek_name):
"""
Check if `seek_name` is in the left hand side `lhs` of assignment.
`lhs` can simply be a variable (`pr.Call`) or a tuple/list (`pr.Array`)
representing the following cases::
a = 1 # lhs is pr.Call
(a, b) = 2 # lhs is pr.Array
:type lhs: pr.Call
:type results: list
:type seek_name: str
"""
if isinstance(lhs, pr.Array):
return assign_tuples(lhs, results, seek_name)
elif lhs.name.names[-1] == seek_name:
return results
else:
return []
@recursion.RecursionDecorator
@cache.memoize_default(default=())
def follow_statement(stmt, seek_name=None):
"""
The starting point of the completion. A statement always owns a call list,
which are the calls, that a statement does.
In case multiple names are defined in the statement, `seek_name` returns
the result for this name.
:param stmt: A `pr.Statement`.
:param seek_name: A string.
"""
debug.dbg('follow_stmt %s (%s)' % (stmt, seek_name))
commands = stmt.get_commands()
debug.dbg('calls: %s' % commands)
result = follow_call_list(commands)
# Assignment checking is only important if the statement defines multiple
# variables.
if len(stmt.get_set_vars()) > 1 and seek_name and stmt.assignment_details:
new_result = []
for ass_commands, op in stmt.assignment_details:
new_result += find_assignments(ass_commands[0], result, seek_name)
result = new_result
return set(result)
@common.rethrow_uncaught
def follow_call_list(call_list, follow_array=False):
"""
`call_list` can be either `pr.Array` or `list of list`.
It is used to evaluate a two dimensional object, that has calls, arrays and
operators in it.
"""
def evaluate_list_comprehension(lc, parent=None):
input = lc.input
nested_lc = lc.input.token_list[0]
if isinstance(nested_lc, pr.ListComprehension):
# is nested LC
input = nested_lc.stmt
module = input.get_parent_until()
# create a for loop, which does the same as list comprehensions
loop = pr.ForFlow(module, [input], lc.stmt.start_pos, lc.middle, True)
loop.parent = parent or lc.get_parent_until(pr.IsScope)
if isinstance(nested_lc, pr.ListComprehension):
loop = evaluate_list_comprehension(nested_lc, loop)
return loop
result = []
calls_iterator = iter(call_list)
for call in calls_iterator:
if pr.Array.is_type(call, pr.Array.NOARRAY):
r = list(itertools.chain.from_iterable(follow_statement(s)
for s in call))
call_path = call.generate_call_path()
next(call_path, None) # the first one has been used already
result += follow_paths(call_path, r, call.parent,
position=call.start_pos)
elif isinstance(call, pr.ListComprehension):
loop = evaluate_list_comprehension(call)
# Caveat: parents are being changed, but this doesn't matter,
# because nothing else uses it.
call.stmt.parent = loop
result += follow_statement(call.stmt)
else:
if isinstance(call, pr.Lambda):
result.append(er.Function(call))
# With things like params, these can also be functions...
elif isinstance(call, pr.Base) and call.isinstance(er.Function,
er.Class, er.Instance, dynamic.ArrayInstance):
result.append(call)
# The string tokens are just operations (+, -, etc.)
elif not isinstance(call, (str, unicode)):
if isinstance(call, pr.Call) and str(call.name) == 'if':
# Ternary operators.
while True:
try:
call = next(calls_iterator)
except StopIteration:
break
with common.ignored(AttributeError):
if str(call.name) == 'else':
break
continue
result += follow_call(call)
elif call == '*':
if [r for r in result if isinstance(r, er.Array)
or isinstance(r, er.Instance)
and str(r.name) == 'str']:
# if it is an iterable, ignore * operations
next(calls_iterator)
return set(result)
def follow_call(call):
"""Follow a call is following a function, variable, string, etc."""
path = call.generate_call_path()
# find the statement of the Scope
s = call
while not s.parent.isinstance(pr.IsScope):
s = s.parent
return follow_call_path(path, s.parent, s.start_pos)
def follow_call_path(path, scope, position):
"""Follows a path generated by `pr.StatementElement.generate_call_path()`"""
current = next(path)
if isinstance(current, pr.Array):
result = [er.Array(current)]
else:
if isinstance(current, pr.NamePart):
# This is the first global lookup.
scopes = find_name(scope, current, position=position,
search_global=True)
else:
# for pr.Literal
scopes = find_name(builtin.Builtin.scope, current.type_as_string())
# Make instances of those number/string objects.
scopes = [er.Instance(s, (current.value,)) for s in scopes]
result = imports.strip_imports(scopes)
return follow_paths(path, result, scope, position=position)
def follow_paths(path, results, call_scope, position=None):
"""
In each result, `path` must be followed. Copies the path iterator.
"""
results_new = []
if results:
if len(results) > 1:
iter_paths = itertools.tee(path, len(results))
else:
iter_paths = [path]
for i, r in enumerate(results):
fp = follow_path(iter_paths[i], r, call_scope, position=position)
if fp is not None:
results_new += fp
else:
# This means stop iteration.
return results
return results_new
def follow_path(path, scope, call_scope, position=None):
"""
Uses a generator and tries to complete the path, e.g.::
foo.bar.baz
`follow_path` is only responsible for completing `.bar.baz`, the rest is
done in the `follow_call` function.
"""
# current is either an Array or a Scope.
try:
current = next(path)
except StopIteration:
return None
debug.dbg('follow %s in scope %s' % (current, scope))
result = []
if isinstance(current, pr.Array):
# This must be an execution, either () or [].
if current.type == pr.Array.LIST:
if hasattr(scope, 'get_index_types'):
result = scope.get_index_types(current)
elif current.type not in [pr.Array.DICT]:
# Scope must be a class or func - make an instance or execution.
debug.dbg('exe', scope)
result = er.Execution(scope, current).get_return_types()
else:
# Curly braces are not allowed, because they make no sense.
debug.warning('strange function call with {}', current, scope)
else:
# The function must not be decorated with something else.
if scope.isinstance(er.Function):
scope = scope.get_magic_method_scope()
else:
# This is the typical lookup while chaining things.
if filter_private_variable(scope, call_scope, current):
return []
result = imports.strip_imports(find_name(scope, current,
position=position))
return follow_paths(path, set(result), call_scope, position=position)
def filter_private_variable(scope, call_scope, var_name):
"""private variables begin with a double underline `__`"""
if isinstance(var_name, (str, unicode)) and isinstance(scope, er.Instance)\
and var_name.startswith('__') and not var_name.endswith('__'):
s = call_scope.get_parent_until((pr.Class, er.Instance))
if s != scope and s != scope.base.base:
return True
return False
def goto(stmt, call_path=None):
if call_path is None:
commands = stmt.get_commands()
if len(commands) == 0:
return [], ''
# Only the first command is important, the rest should basically not
# happen except in broken code (e.g. docstrings that aren't code).
call = commands[0]
if isinstance(call, (str, unicode)):
call_path = [call]
else:
call_path = list(call.generate_call_path())
scope = stmt.get_parent_until(pr.IsScope)
pos = stmt.start_pos
call_path, search = call_path[:-1], call_path[-1]
pos = pos[0], pos[1] + 1
if call_path:
scopes = follow_call_path(iter(call_path), scope, pos)
search_global = False
pos = None
else:
scopes = [scope]
search_global = True
follow_res = []
for s in scopes:
follow_res += find_name(s, search, pos,
search_global=search_global, is_goto=True)
return follow_res, search
+944
View File
@@ -0,0 +1,944 @@
"""
Like described in the :mod:`parsing_representation` module, there's a need for
an ast like module to represent the states of parsed modules.
But now there are also structures in Python that need a little bit more than
that. An ``Instance`` for example is only a ``Class`` before it is
instantiated. This class represents these cases.
So, why is there also a ``Class`` class here? Well, there are decorators and
they change classes in Python 3.
"""
from __future__ import with_statement
import copy
import itertools
from jedi._compatibility import use_metaclass, next, hasattr, unicode
from jedi.parser import representation as pr
from jedi import cache
from jedi import helpers
from jedi import debug
from jedi import common
import recursion
import docstrings
import imports
import builtin
import dynamic
class Executable(pr.IsScope):
"""
An instance is also an executable - because __init__ is called
:param var_args: The param input array, consist of `pr.Array` or list.
"""
def __init__(self, base, var_args=()):
self.base = base
self.var_args = var_args
def get_parent_until(self, *args, **kwargs):
return self._decorated.get_parent_until(*args, **kwargs)
@property
def parent(self):
return self._decorated.parent
@property
def _decorated(self):
"""
Instance doesn't care about decorators and Execution overrides this
"""
return self.base
class Instance(use_metaclass(cache.CachedMetaClass, Executable)):
"""
This class is used to evaluate instances.
"""
def __init__(self, base, var_args=()):
super(Instance, self).__init__(base, var_args)
if str(base.name) in ['list', 'set'] \
and builtin.Builtin.scope == base.get_parent_until():
# compare the module path with the builtin name.
self.var_args = dynamic.check_array_instances(self)
else:
# need to execute the __init__ function, because the dynamic param
# searching needs it.
with common.ignored(KeyError):
self.execute_subscope_by_name('__init__', self.var_args)
# Generated instances are classes that are just generated by self
# (No var_args) used.
self.is_generated = False
@cache.memoize_default()
def _get_method_execution(self, func):
func = InstanceElement(self, func, True)
return Execution(func, self.var_args)
def _get_func_self_name(self, func):
"""
Returns the name of the first param in a class method (which is
normally self.
"""
try:
return str(func.params[0].get_name())
except IndexError:
return None
@cache.memoize_default([])
def _get_self_attributes(self):
def add_self_dot_name(name):
"""
Need to copy and rewrite the name, because names are now
``instance_usage.variable`` instead of ``self.variable``.
"""
n = copy.copy(name)
n.names = n.names[1:]
names.append(InstanceElement(self, n))
names = []
# This loop adds the names of the self object, copies them and removes
# the self.
for sub in self.base.subscopes:
if isinstance(sub, pr.Class):
continue
# Get the self name, if there's one.
self_name = self._get_func_self_name(sub)
if not self_name:
continue
if sub.name.get_code() == '__init__':
# ``__init__`` is special because the params need are injected
# this way. Therefore an execution is necessary.
if not sub.decorators:
# __init__ decorators should generally just be ignored,
# because to follow them and their self variables is too
# complicated.
sub = self._get_method_execution(sub)
for n in sub.get_set_vars():
# Only names with the selfname are being added.
# It is also important, that they have a len() of 2,
# because otherwise, they are just something else
if n.names[0] == self_name and len(n.names) == 2:
add_self_dot_name(n)
for s in self.base.get_super_classes():
names += Instance(s)._get_self_attributes()
return names
def get_subscope_by_name(self, name):
sub = self.base.get_subscope_by_name(name)
return InstanceElement(self, sub, True)
def execute_subscope_by_name(self, name, args=()):
method = self.get_subscope_by_name(name)
return Execution(method, args).get_return_types()
def get_descriptor_return(self, obj):
""" Throws a KeyError if there's no method. """
# Arguments in __get__ descriptors are obj, class.
# `method` is the new parent of the array, don't know if that's good.
args = [obj, obj.base] if isinstance(obj, Instance) else [None, obj]
return self.execute_subscope_by_name('__get__', args)
@cache.memoize_default([])
def get_defined_names(self):
"""
Get the instance vars of a class. This includes the vars of all
classes
"""
names = self._get_self_attributes()
class_names = self.base.instance_names()
for var in class_names:
names.append(InstanceElement(self, var, True))
return names
def scope_generator(self):
"""
An Instance has two scopes: The scope with self names and the class
scope. Instance variables have priority over the class scope.
"""
yield self, self._get_self_attributes()
names = []
class_names = self.base.instance_names()
for var in class_names:
names.append(InstanceElement(self, var, True))
yield self, names
def get_index_types(self, index=None):
args = [] if index is None else [index]
try:
return self.execute_subscope_by_name('__getitem__', args)
except KeyError:
debug.warning('No __getitem__, cannot access the array.')
return []
def __getattr__(self, name):
if name not in ['start_pos', 'end_pos', 'name', 'get_imports',
'doc', 'docstr', 'asserts']:
raise AttributeError("Instance %s: Don't touch this (%s)!"
% (self, name))
return getattr(self.base, name)
def __repr__(self):
return "<e%s of %s (var_args: %s)>" % \
(type(self).__name__, self.base, len(self.var_args or []))
class InstanceElement(use_metaclass(cache.CachedMetaClass, pr.Base)):
"""
InstanceElement is a wrapper for any object, that is used as an instance
variable (e.g. self.variable or class methods).
"""
def __init__(self, instance, var, is_class_var=False):
if isinstance(var, pr.Function):
var = Function(var)
elif isinstance(var, pr.Class):
var = Class(var)
self.instance = instance
self.var = var
self.is_class_var = is_class_var
@property
@cache.memoize_default()
def parent(self):
par = self.var.parent
if isinstance(par, Class) and par == self.instance.base \
or isinstance(par, pr.Class) \
and par == self.instance.base.base:
par = self.instance
elif not isinstance(par, pr.Module):
par = InstanceElement(self.instance, par, self.is_class_var)
return par
def get_parent_until(self, *args, **kwargs):
return pr.Simple.get_parent_until(self, *args, **kwargs)
def get_decorated_func(self):
""" Needed because the InstanceElement should not be stripped """
func = self.var.get_decorated_func(self.instance)
if func == self.var:
return self
return func
def get_commands(self):
# Copy and modify the array.
return [InstanceElement(self.instance, command, self.is_class_var)
if not isinstance(command, unicode) else command
for command in self.var.get_commands()]
def __iter__(self):
for el in self.var.__iter__():
yield InstanceElement(self.instance, el, self.is_class_var)
def __getattr__(self, name):
return getattr(self.var, name)
def isinstance(self, *cls):
return isinstance(self.var, cls)
def __repr__(self):
return "<%s of %s>" % (type(self).__name__, self.var)
class Class(use_metaclass(cache.CachedMetaClass, pr.IsScope)):
"""
This class is not only important to extend `pr.Class`, it is also a
important for descriptors (if the descriptor methods are evaluated or not).
"""
def __init__(self, base):
self.base = base
@cache.memoize_default(default=())
def get_super_classes(self):
supers = []
# TODO care for mro stuff (multiple super classes).
for s in self.base.supers:
# Super classes are statements.
for cls in evaluate.follow_statement(s):
if not isinstance(cls, Class):
debug.warning('Received non class, as a super class')
continue # Just ignore other stuff (user input error).
supers.append(cls)
if not supers and self.base.parent != builtin.Builtin.scope:
# add `object` to classes
supers += evaluate.find_name(builtin.Builtin.scope, 'object')
return supers
@cache.memoize_default(default=())
def instance_names(self):
def in_iterable(name, iterable):
""" checks if the name is in the variable 'iterable'. """
for i in iterable:
# Only the last name is important, because these names have a
# maximal length of 2, with the first one being `self`.
if i.names[-1] == name.names[-1]:
return True
return False
result = self.base.get_defined_names()
super_result = []
# TODO mro!
for cls in self.get_super_classes():
# Get the inherited names.
for i in cls.instance_names():
if not in_iterable(i, result):
super_result.append(i)
result += super_result
return result
@cache.memoize_default(default=())
def get_defined_names(self):
result = self.instance_names()
type_cls = evaluate.find_name(builtin.Builtin.scope, 'type')[0]
return result + type_cls.base.get_defined_names()
def get_subscope_by_name(self, name):
for sub in reversed(self.subscopes):
if sub.name.get_code() == name:
return sub
raise KeyError("Couldn't find subscope.")
@property
def name(self):
return self.base.name
def __getattr__(self, name):
if name not in ['start_pos', 'end_pos', 'parent', 'asserts', 'docstr',
'doc', 'get_imports', 'get_parent_until', 'get_code',
'subscopes']:
raise AttributeError("Don't touch this: %s of %s !" % (name, self))
return getattr(self.base, name)
def __repr__(self):
return "<e%s of %s>" % (type(self).__name__, self.base)
class Function(use_metaclass(cache.CachedMetaClass, pr.IsScope)):
"""
Needed because of decorators. Decorators are evaluated here.
"""
def __init__(self, func, is_decorated=False):
""" This should not be called directly """
self.base_func = func
self.is_decorated = is_decorated
@cache.memoize_default()
def _decorated_func(self, instance=None):
"""
Returns the function, that is to be executed in the end.
This is also the places where the decorators are processed.
"""
f = self.base_func
# Only enter it, if has not already been processed.
if not self.is_decorated:
for dec in reversed(self.base_func.decorators):
debug.dbg('decorator:', dec, f)
dec_results = set(evaluate.follow_statement(dec))
if not len(dec_results):
debug.warning('decorator not found: %s on %s' %
(dec, self.base_func))
return None
decorator = dec_results.pop()
if dec_results:
debug.warning('multiple decorators found', self.base_func,
dec_results)
# Create param array.
old_func = Function(f, is_decorated=True)
if instance is not None and decorator.isinstance(Function):
old_func = InstanceElement(instance, old_func)
instance = None
wrappers = Execution(decorator, (old_func,)).get_return_types()
if not len(wrappers):
debug.warning('no wrappers found', self.base_func)
return None
if len(wrappers) > 1:
debug.warning('multiple wrappers found', self.base_func,
wrappers)
# This is here, that the wrapper gets executed.
f = wrappers[0]
debug.dbg('decorator end', f)
if f != self.base_func and isinstance(f, pr.Function):
f = Function(f)
return f
def get_decorated_func(self, instance=None):
decorated_func = self._decorated_func(instance)
if decorated_func == self.base_func:
return self
if decorated_func is None:
# If the decorator func is not found, just ignore the decorator
# function, because sometimes decorators are just really
# complicated.
return Function(self.base_func, True)
return decorated_func
def get_magic_method_names(self):
return builtin.Builtin.magic_function_scope.get_defined_names()
def get_magic_method_scope(self):
return builtin.Builtin.magic_function_scope
def __getattr__(self, name):
return getattr(self.base_func, name)
def __repr__(self):
dec = ''
if self._decorated_func() != self.base_func:
dec = " is " + repr(self._decorated_func())
return "<e%s of %s%s>" % (type(self).__name__, self.base_func, dec)
class Execution(Executable):
"""
This class is used to evaluate functions and their returns.
This is the most complicated class, because it contains the logic to
transfer parameters. It is even more complicated, because there may be
multiple calls to functions and recursion has to be avoided. But this is
responsibility of the decorators.
"""
def _follow_var_arg(self, index):
try:
stmt = self.var_args[index]
except IndexError:
return []
else:
if isinstance(stmt, pr.Statement):
return evaluate.follow_statement(stmt)
else:
return [stmt] # just some arbitrary object
@property
@cache.memoize_default()
def _decorated(self):
"""Get the decorated version of the input"""
base = self.base
if self.base.isinstance(Function):
base = base.get_decorated_func()
return base
@cache.memoize_default(default=())
@recursion.ExecutionRecursionDecorator
def get_return_types(self, evaluate_generator=False):
""" Get the return types of a function. """
base = self._decorated
stmts = []
if base.parent == builtin.Builtin.scope \
and not isinstance(base, (Generator, Array)):
func_name = str(base.name)
# some implementations of builtins:
if func_name == 'getattr':
# follow the first param
objects = self._follow_var_arg(0)
names = self._follow_var_arg(1)
for obj in objects:
if not isinstance(obj, (Instance, Class, pr.Module)):
debug.warning('getattr called without instance')
continue
for arr_name in names:
if not isinstance(arr_name, Instance):
debug.warning('getattr called without str')
continue
if len(arr_name.var_args) != 1:
debug.warning('jedi getattr is too simple')
key = arr_name.var_args[0]
stmts += evaluate.follow_path(iter([key]), obj, base)
return stmts
elif func_name == 'type':
# otherwise it would be a metaclass
if len(self.var_args) == 1:
objects = self._follow_var_arg(0)
return [o.base for o in objects if isinstance(o, Instance)]
elif func_name == 'super':
# TODO make this able to detect multiple inheritance supers
accept = (pr.Function,)
func = self.var_args.get_parent_until(accept)
if func.isinstance(*accept):
cls = func.get_parent_until(accept + (pr.Class,),
include_current=False)
if isinstance(cls, pr.Class):
cls = Class(cls)
su = cls.get_super_classes()
if su:
return [Instance(su[0])]
return []
if base.isinstance(Class):
# There maybe executions of executions.
return [Instance(base, self.var_args)]
elif isinstance(base, Generator):
return base.iter_content()
else:
try:
base.returns # Test if it is a function
except AttributeError:
if hasattr(base, 'execute_subscope_by_name'):
try:
stmts = base.execute_subscope_by_name('__call__',
self.var_args)
except KeyError:
debug.warning("no __call__ func available", base)
else:
debug.warning("no execution possible", base)
else:
stmts = self._get_function_returns(base, evaluate_generator)
debug.dbg('exec result: %s in %s' % (stmts, self))
return imports.strip_imports(stmts)
def _get_function_returns(self, func, evaluate_generator):
""" A normal Function execution """
# Feed the listeners, with the params.
for listener in func.listeners:
listener.execute(self._get_params())
if func.is_generator and not evaluate_generator:
return [Generator(func, self.var_args)]
else:
stmts = docstrings.find_return_types(func)
for r in self.returns:
if r is not None:
stmts += evaluate.follow_statement(r)
return stmts
@cache.memoize_default(default=())
def _get_params(self):
"""
This returns the params for an Execution/Instance and is injected as a
'hack' into the pr.Function class.
This needs to be here, because Instance can have __init__ functions,
which act the same way as normal functions.
"""
def gen_param_name_copy(param, keys=(), values=(), array_type=None):
"""
Create a param with the original scope (of varargs) as parent.
"""
if isinstance(self.var_args, pr.Array):
parent = self.var_args.parent
start_pos = self.var_args.start_pos
else:
parent = self._decorated
start_pos = 0, 0
new_param = copy.copy(param)
new_param.is_generated = True
if parent is not None:
new_param.parent = parent
# create an Array (-> needed for *args/**kwargs tuples/dicts)
arr = pr.Array(self._sub_module, start_pos, array_type, parent)
arr.values = values
key_stmts = []
for key in keys:
stmt = pr.Statement(self._sub_module, [], start_pos, None)
stmt._commands = [key]
key_stmts.append(stmt)
arr.keys = key_stmts
arr.type = array_type
new_param._commands = [arr]
name = copy.copy(param.get_name())
name.parent = new_param
return name
result = []
start_offset = 0
if isinstance(self._decorated, InstanceElement):
# Care for self -> just exclude it and add the instance
start_offset = 1
self_name = copy.copy(self._decorated.params[0].get_name())
self_name.parent = self._decorated.instance
result.append(self_name)
param_dict = {}
for param in self._decorated.params:
param_dict[str(param.get_name())] = param
# There may be calls, which don't fit all the params, this just ignores
# it.
var_arg_iterator = self._get_var_args_iterator()
non_matching_keys = []
keys_used = set()
keys_only = False
for param in self._decorated.params[start_offset:]:
# The value and key can both be null. There, the defaults apply.
# args / kwargs will just be empty arrays / dicts, respectively.
# Wrong value count is just ignored. If you try to test cases that
# are not allowed in Python, Jedi will maybe not show any
# completions.
key, value = next(var_arg_iterator, (None, None))
while key:
keys_only = True
try:
key_param = param_dict[str(key)]
except KeyError:
non_matching_keys.append((key, value))
else:
keys_used.add(str(key))
result.append(gen_param_name_copy(key_param,
values=[value]))
key, value = next(var_arg_iterator, (None, None))
commands = param.get_commands()
keys = []
values = []
array_type = None
ignore_creation = False
if commands[0] == '*':
# *args param
array_type = pr.Array.TUPLE
if value:
values.append(value)
for key, value in var_arg_iterator:
# Iterate until a key argument is found.
if key:
var_arg_iterator.push_back((key, value))
break
values.append(value)
elif commands[0] == '**':
# **kwargs param
array_type = pr.Array.DICT
if non_matching_keys:
keys, values = zip(*non_matching_keys)
elif not keys_only:
# normal param
if value is not None:
values = [value]
else:
if param.assignment_details:
# No value: return the default values.
ignore_creation = True
result.append(param.get_name())
param.is_generated = True
else:
# If there is no assignment detail, that means there is
# no assignment, just the result. Therefore nothing has
# to be returned.
values = []
# Just ignore all the params that are without a key, after one
# keyword argument was set.
if not ignore_creation and (not keys_only or commands[0] == '**'):
keys_used.add(str(key))
result.append(gen_param_name_copy(param, keys=keys,
values=values, array_type=array_type))
if keys_only:
# sometimes param arguments are not completely written (which would
# create an Exception, but we have to handle that).
for k in set(param_dict) - keys_used:
result.append(gen_param_name_copy(param_dict[k]))
return result
def _get_var_args_iterator(self):
"""
Yields a key/value pair, the key is None, if its not a named arg.
"""
def iterate():
# `var_args` is typically an Array, and not a list.
for stmt in self.var_args:
if not isinstance(stmt, pr.Statement):
if stmt is None:
yield None, None
continue
old = stmt
# generate a statement if it's not already one.
module = builtin.Builtin.scope
stmt = pr.Statement(module, [], (0, 0), None)
stmt._commands = [old]
# *args
commands = stmt.get_commands()
if not len(commands):
continue
if commands[0] == '*':
arrays = evaluate.follow_call_list(commands[1:])
# *args must be some sort of an array, otherwise -> ignore
for array in arrays:
if isinstance(array, Array):
for field_stmt in array: # yield from plz!
yield None, field_stmt
elif isinstance(array, Generator):
for field_stmt in array.iter_content():
yield None, helpers.FakeStatement(field_stmt)
# **kwargs
elif commands[0] == '**':
arrays = evaluate.follow_call_list(commands[1:])
for array in arrays:
if isinstance(array, Array):
for key_stmt, value_stmt in array.items():
# first index, is the key if syntactically correct
call = key_stmt.get_commands()[0]
if isinstance(call, pr.Name):
yield call, value_stmt
elif isinstance(call, pr.Call):
yield call.name, value_stmt
# Normal arguments (including key arguments).
else:
if stmt.assignment_details:
key_arr, op = stmt.assignment_details[0]
# named parameter
if key_arr and isinstance(key_arr[0], pr.Call):
yield key_arr[0].name, stmt
else:
yield None, stmt
return iter(common.PushBackIterator(iterate()))
def get_defined_names(self):
"""
Call the default method with the own instance (self implements all
the necessary functions). Add also the params.
"""
return self._get_params() + pr.Scope.get_set_vars(self)
get_set_vars = get_defined_names
@common.rethrow_uncaught
def _copy_properties(self, prop):
"""
Literally copies a property of a Function. Copying is very expensive,
because it is something like `copy.deepcopy`. However, these copied
objects can be used for the executions, as if they were in the
execution.
"""
# Copy all these lists into this local function.
attr = getattr(self._decorated, prop)
objects = []
for element in attr:
if element is None:
copied = element
else:
copied = helpers.fast_parent_copy(element)
copied.parent = self._scope_copy(copied.parent)
if isinstance(copied, pr.Function):
copied = Function(copied)
objects.append(copied)
return objects
def __getattr__(self, name):
if name not in ['start_pos', 'end_pos', 'imports', '_sub_module']:
raise AttributeError('Tried to access %s: %s. Why?' % (name, self))
return getattr(self._decorated, name)
@cache.memoize_default()
@common.rethrow_uncaught
def _scope_copy(self, scope):
""" Copies a scope (e.g. if) in an execution """
# TODO method uses different scopes than the subscopes property.
# just check the start_pos, sometimes it's difficult with closures
# to compare the scopes directly.
if scope.start_pos == self.start_pos:
return self
else:
copied = helpers.fast_parent_copy(scope)
copied.parent = self._scope_copy(copied.parent)
return copied
@property
@cache.memoize_default()
def returns(self):
return self._copy_properties('returns')
@property
@cache.memoize_default()
def asserts(self):
return self._copy_properties('asserts')
@property
@cache.memoize_default()
def statements(self):
return self._copy_properties('statements')
@property
@cache.memoize_default()
def subscopes(self):
return self._copy_properties('subscopes')
def get_statement_for_position(self, pos):
return pr.Scope.get_statement_for_position(self, pos)
def __repr__(self):
return "<%s of %s>" % \
(type(self).__name__, self._decorated)
class Generator(use_metaclass(cache.CachedMetaClass, pr.Base)):
""" Cares for `yield` statements. """
def __init__(self, func, var_args):
super(Generator, self).__init__()
self.func = func
self.var_args = var_args
def get_defined_names(self):
"""
Returns a list of names that define a generator, which can return the
content of a generator.
"""
names = []
none_pos = (0, 0)
executes_generator = ('__next__', 'send')
for n in ('close', 'throw') + executes_generator:
name = pr.Name(builtin.Builtin.scope, [(n, none_pos)],
none_pos, none_pos)
if n in executes_generator:
name.parent = self
else:
name.parent = builtin.Builtin.scope
names.append(name)
debug.dbg('generator names', names)
return names
def iter_content(self):
""" returns the content of __iter__ """
return Execution(self.func, self.var_args).get_return_types(True)
def get_index_types(self, index=None):
debug.warning('Tried to get array access on a generator', self)
return []
def __getattr__(self, name):
if name not in ['start_pos', 'end_pos', 'parent', 'get_imports',
'asserts', 'doc', 'docstr', 'get_parent_until', 'get_code',
'subscopes']:
raise AttributeError("Accessing %s of %s is not allowed."
% (self, name))
return getattr(self.func, name)
def __repr__(self):
return "<%s of %s>" % (type(self).__name__, self.func)
class Array(use_metaclass(cache.CachedMetaClass, pr.Base)):
"""
Used as a mirror to pr.Array, if needed. It defines some getter
methods which are important in this module.
"""
def __init__(self, array):
self._array = array
def get_index_types(self, index_arr=None):
""" Get the types of a specific index or all, if not given """
if index_arr is not None:
if index_arr and [x for x in index_arr if ':' in x.get_commands()]:
# array slicing
return [self]
index_possibilities = self._follow_values(index_arr)
if len(index_possibilities) == 1:
# This is indexing only one element, with a fixed index number,
# otherwise it just ignores the index (e.g. [1+1]).
index = index_possibilities[0]
if isinstance(index, Instance) \
and str(index.name) in ['int', 'str'] \
and len(index.var_args) == 1:
# TODO this is just very hackish and a lot of use cases are
# being ignored
with common.ignored(KeyError, IndexError,
UnboundLocalError, TypeError):
return self.get_exact_index_types(index.var_args[0])
result = list(self._follow_values(self._array.values))
result += dynamic.check_array_additions(self)
return set(result)
def get_exact_index_types(self, mixed_index):
""" Here the index is an int/str. Raises IndexError/KeyError """
index = mixed_index
if self.type == pr.Array.DICT:
index = None
for i, key_statement in enumerate(self._array.keys):
# Because we only want the key to be a string.
key_commands = key_statement.get_commands()
if len(key_commands) != 1: # cannot deal with complex strings
continue
key = key_commands[0]
if isinstance(key, pr.String):
str_key = key.value
elif isinstance(key, pr.Name):
str_key = str(key)
if mixed_index == str_key:
index = i
break
if index is None:
raise KeyError('No key found in dictionary')
# Can raise an IndexError
values = [self._array.values[index]]
return self._follow_values(values)
def _follow_values(self, values):
""" helper function for the index getters """
return list(itertools.chain.from_iterable(evaluate.follow_statement(v)
for v in values))
def get_defined_names(self):
"""
This method generates all `ArrayMethod` for one pr.Array.
It returns e.g. for a list: append, pop, ...
"""
# `array.type` is a string with the type, e.g. 'list'.
scope = evaluate.find_name(builtin.Builtin.scope, self._array.type)[0]
scope = Instance(scope)
names = scope.get_defined_names()
return [ArrayMethod(n) for n in names]
@property
def parent(self):
return builtin.Builtin.scope
def get_parent_until(self):
return builtin.Builtin.scope
def __getattr__(self, name):
if name not in ['type', 'start_pos', 'get_only_subelement', 'parent',
'get_parent_until', 'items']:
raise AttributeError('Strange access on %s: %s.' % (self, name))
return getattr(self._array, name)
def __getitem__(self):
return self._array.__getitem__()
def __iter__(self):
return self._array.__iter__()
def __len__(self):
return self._array.__len__()
def __repr__(self):
return "<e%s of %s>" % (type(self).__name__, self._array)
class ArrayMethod(object):
"""
A name, e.g. `list.append`, it is used to access the original array
methods.
"""
def __init__(self, name):
super(ArrayMethod, self).__init__()
self.name = name
def __getattr__(self, name):
# Set access privileges:
if name not in ['parent', 'names', 'start_pos', 'end_pos', 'get_code']:
raise AttributeError('Strange accesson %s: %s.' % (self, name))
return getattr(self.name, name)
def get_parent_until(self):
return builtin.Builtin.scope
def __repr__(self):
return "<%s of %s>" % (type(self).__name__, self.name)