Fix tensorflow issues with a few hacks (temporary), fixes #1195

jedi/api/__init__.py

@@ -177,6 +177,19 @@ class Script(object):
             self._pos, self.call_signatures
         )
         completions = completion.completions()
+
+        import_completions_count = len([
+            c for c in completions
+            if not c._name.tree_name
+            or c._name.tree_name.get_definition().type in ('import_name', 'import_from')
+        ])
+        if import_completions_count > 10:
+            # For now disable completions if there's a lot of imports that
+            # might potentially be resolved. This is the case for tensorflow
+            # and has been fixed for it. This is obviously temporary until we
+            # have a better solution.
+            self._evaluator.infer_enabled = True
+
         debug.speed('completions end')
         return completions
 

jedi/evaluate/__init__.py

@@ -105,6 +105,9 @@ class Evaluator(object):
         self.is_analysis = False
         self.project = project
         self.access_cache = {}
+        # This setting is only temporary to limit the work we have to do with
+        # tensorflow and others.
+        self.infer_enabled = True
 
         self.reset_recursion_limitations()
         self.allow_different_encoding = True
@@ -123,6 +126,9 @@ class Evaluator(object):
         return self.project._get_sys_path(self, environment=self.environment)
 
     def eval_element(self, context, element):
+        if not self.infer_enabled:
+            return NO_CONTEXTS
+
         if isinstance(context, CompForContext):
             return eval_node(context, element)
 

jedi/evaluate/compiled/__init__.py

@@ -32,8 +32,12 @@ def get_string_context_set(evaluator):
     return builtin_from_name(evaluator, u'str').execute_evaluated()
 
 
-def load_module(evaluator, **kwargs):
+def load_module(evaluator, dotted_name, **kwargs):
-    access_path = evaluator.compiled_subprocess.load_module(**kwargs)
+    # Temporary, some tensorflow builtins cannot be loaded, so it's tried again
+    # and again and it's really slow.
+    if dotted_name.startswith('tensorflow.'):
+        return None
+    access_path = evaluator.compiled_subprocess.load_module(dotted_name=dotted_name, **kwargs)
     if access_path is None:
         return None
     return create_from_access_path(evaluator, access_path)

jedi/evaluate/imports.py

@@ -21,7 +21,6 @@ from jedi._compatibility import (FileNotFoundError, ImplicitNSInfo,
                                  force_unicode, unicode)
 from jedi import debug
 from jedi import settings
-from jedi.common.utils import traverse_parents
 from jedi.parser_utils import get_cached_code_lines
 from jedi.evaluate import sys_path
 from jedi.evaluate import helpers
@@ -279,7 +278,7 @@ class Importer(object):
         return sys_path_mod
 
     def follow(self):
-        if not self.import_path:
+        if not self.import_path or not self._evaluator.infer_enabled:
             return NO_CONTEXTS
 
         return self._do_import(self.import_path, self.sys_path_with_modifications())