Merge pull request plotly#371 from plotly/sync_subs

sync chunked requests proxy updates

Author: BRONSOLO

plotly/graph_reference/default-schema.json

@@ -7017,7 +7017,7 @@
                     "valType": "string"
                 }
             },
-            "description": "The data that describes the heatmap value-to-color mapping is set in `z`. Data in `z` can either be a {2D array} of values (ragged or not) or a 1D array of values. In the case where `z` is a {2D array}, say that `z` has N rows and M columns. Then, by default, the resulting heatmap will have N partitions along the y axis and M partitions along the x axis. In other words, the i-th row/ j-th column cell in `z` is mapped to the i-th partition of the y axis (starting from the bottom of the plot) and the j-th partition of the x-axis (starting from the left of the plot). This behavior can be flipped by using `transpose`. Moreover, `x` (`y`) can be provided with M or M+1 (N or N+1) elements If M (N), then the coordinates correspond to the center of the heatmap cells and the cells have equal width. If M+1 (N+1), then the coordinates correspond to the edges of the heatmap cells. In the case where `z` is a 1D {array}, the x and y coordinates must be provided in `x` and `y` respectively to form data triplets."
+            "description": "The data that describes the heatmap value-to-color mapping is set in `z`. Data in `z` can either be a {2D array} of values (ragged or not) or a 1D array of values. In the case where `z` is a {2D array}, say that `z` has N rows and M columns. Then, by default, the resulting heatmap will have N partitions along the y axis and M partitions along the x axis. In other words, the i-th row/ j-th column cell in `z` is mapped to the i-th partition of the y axis (starting from the bottom of the plot) and the j-th partition of the x-axis (starting from the left of the plot). This behavior can be flipped by using `transpose`. Moreover, `x` (`y`) can be provided with M or M+1 (N or N+1) elements. If M (N), then the coordinates correspond to the center of the heatmap cells and the cells have equal width. If M+1 (N+1), then the coordinates correspond to the edges of the heatmap cells. In the case where `z` is a 1D {array}, the x and y coordinates must be provided in `x` and `y` respectively to form data triplets."
         },
         "histogram": {
             "attributes": {

plotly/plotly/chunked_requests/chunked_request.py

@@ -70,24 +70,38 @@ def write(self, data, reconnect_on=('', 200, )):
             self._reconnect()
             self.write(data)
 
+    def _get_proxy_config(self):
+        """
+        Determine if self._url should be passed through a proxy. If so, return
+        the appropriate proxy_server and proxy_port
+
+        """
+
+        proxy_server = None
+        proxy_port = None
+
+        ## only doing HTTPConnection, so only use http_proxy
+        proxy = os.environ.get("http_proxy")
+        no_proxy = os.environ.get("no_proxy")
+        no_proxy_url = no_proxy and self._url in no_proxy
+
+        if proxy and not no_proxy_url:
+            p = urlparse(proxy)
+            proxy_server = p.hostname
+            proxy_port = p.port
+
+        return proxy_server, proxy_port
+
     def _connect(self):
         ''' Initialize an HTTP connection with chunked Transfer-Encoding
         to server:port with optional headers.
         '''
         server = self._server
         port = self._port
         headers = self._headers
+        proxy_server, proxy_port = self._get_proxy_config()
 
-        ## only doing HTTPConnection, so only use http_proxy
-        proxy = os.environ.get("http_proxy");
-        proxy_server = None
-        proxy_port = None
-        if (proxy != None):
-            p = urlparse(proxy)
-            proxy_server = p.hostname
-            proxy_port = p.port
-
-        if (proxy_server != None and proxy_port != None):
+        if (proxy_server and proxy_port):
             self._conn = http_client.HTTPConnection(proxy_server, proxy_port)
             self._conn.set_tunnel(server, port)
         else: