support autocomplete with Deep Learning

README.md

@@ -195,6 +195,17 @@ To disable the extension again, use
 
     jupyter nbextension disable <nbextension require path>
 
+**Notice**, if you are using the notebook extension which need request the server extension.
+You need to enable the server extension before starting the jupyter notebook.
+This operation only needs to be done once. Currently, there is only one notebook extension
+needs the server extension. That is `jupyter_tabnine`. To enable it's server extension, use
+
+    jupyter serverextension enable --py jupyter_tabnine
+
+To disable it's server extension again, use
+
+    jupyter serverextension disable --py jupyter_tabnine
+
 **Alternatively**, and more conveniently, you can use the
 [jupyter_nbextensions_configurator](https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator)
 server extension, which is installed as a dependency of this repo, and can be

src/jupyter_contrib_nbextensions/__init__.py

@@ -3,13 +3,18 @@
 import os
 
 import jupyter_nbextensions_configurator
+from notebook.utils import url_path_join as ujoin
+from jupyter_tabnine.handler import TabNineHandler
+from jupyter_tabnine.tabnine import TabNine
 
 __version__ = '0.5.1'
 
 
 def _jupyter_server_extension_paths():
     """Magically-named function for jupyter extension installations."""
-    return []
+    return [{
+        'module': 'jupyter_tabnine',
+    }]
 
 
 def _jupyter_nbextension_paths():
@@ -32,3 +37,16 @@ def _jupyter_nbextension_paths():
         # _also_ in the `nbextension/` namespace
         require=nbext['require'],
     ) for nbext in specs]
+
+
+def load_jupyter_server_extension(nb_server_app):
+    """
+    Called when the extension is loaded.
+    Args:
+        nb_server_app (NotebookWebApplication): handle to the Notebook webserver instance.
+    """
+    web_app = nb_server_app.web_app
+    host_pattern = '.*$'
+    route_pattern = ujoin(web_app.settings['base_url'], '/tabnine')
+    tabnine = TabNine()
+    web_app.add_handlers(host_pattern, [(route_pattern, TabNineHandler, {'tabnine': tabnine})])

src/jupyter_contrib_nbextensions/nbextensions/jupyter_tabnine/README.md

@@ -0,0 +1,34 @@
+Jupyter TabNine
+==========
+This extension provides code auto-completion based on deep learning.
+
+* Author: Wenmin Wu
+* Repository: https://github.com/wenmin-wu/jupyter-tabnine
+* Email: [email protected]
+
+Options
+-------
+
+* `jupyter_tabnine.before_line_limit`:
+   maximum number of lines before for context generation,
+   too many lines will slow down the request. -1 means Infinity,
+   thus the lines will equal to number of lines before current line.
+
+* `jupyter_tabnine.after_line_limit`:
+   maximum number of lines after for context generation,
+   too many lines will slow down the request. -1 means Infinity,
+   thus the lines will equal to number of lines after current line.
+
+* `jupyter_tabnine.options_limit`:
+   maximum number of options that will be shown
+
+* `jupyter_tabnine.assist_active`:
+   Enable continuous code auto-completion when notebook is first opened, or
+   if false, only when selected from extensions menu.
+
+* `jupytertabnine.assist_delay`:
+   delay in milliseconds between keypress & completion request.
+
+* `jupyter_tabnine.remote_server_url`:
+   remote server url, you may want to use a remote server to handle client request.
+   This can spped up the request handling depending on the server configuration. Refer to [repo doc](https://github.com/wenmin-wu/jupyter-tabnine) to see how to deploy remote server.

src/jupyter_contrib_nbextensions/nbextensions/jupyter_tabnine/main.css

@@ -0,0 +1,41 @@
+.complete-container {
+  display: flex;
+  flex-wrap: wrap;
+  justify-content: space-between;
+  vertical-align: middle;
+  font-family: monospace, monospace;
+}
+
+.complete-block {
+  min-width: 200px;
+  margin: 2px;
+  padding: 1px;
+  display: inline-block;
+}
+
+.user-message {
+	margin: 2px;
+	padding: 1px;
+  display: list-item;
+}
+
+.user-message span {
+	color: #CD5C5C;
+}
+
+
+
+.complete-word {
+  width: auto;
+  text-align: left;
+}
+
+.complete-detail {
+  text-align: right;
+}
+
+
+.complete-dropdown-content {
+  background-color: rgb(255, 255, 255, 0.85);
+  box-shadow: 0px 8px 16px 0px rgba(0, 0, 0, 0.5);
+}