Merge pull request #5087 from minrk/master

trust cells with no output

IPython/nbformat/sign.py

@@ -194,6 +194,37 b' class NotebookNotary(LoggingConfigurable):'
             if cell['cell_type'] == 'code':
                 cell['trusted'] = trusted
     
+    def _check_cell(self, cell):
+        """Do we trust an individual cell?
+        
+        Return True if:
+        
+        - cell is explicitly trusted
+        - cell has no potentially unsafe rich output
+        
+        If a cell has no output, or only simple print statements,
+        it will always be trusted.
+        """
+        # explicitly trusted
+        if cell.pop("trusted", False):
+            return True
+        
+        # explicitly safe output
+        safe = {
+            'text/plain', 'image/png', 'image/jpeg',
+            'text', 'png', 'jpg', # v3-style short keys
+        }
+        
+        for output in cell['outputs']:
+            output_type = output['output_type']
+            if output_type in ('pyout', 'display_data'):
+                # if there are any data keys not in the safe whitelist
+                output_keys = set(output).difference({"output_type", "prompt_number", "metadata"})
+                if output_keys.difference(safe):
+                    return False
+        
+        return True
+    
     def check_cells(self, nb):
         """Return whether all code cells are trusted
         
@@ -207,7 +238,8 b' class NotebookNotary(LoggingConfigurable):'
         for cell in nb['worksheets'][0]['cells']:
             if cell['cell_type'] != 'code':
                 continue
-            if not cell.pop('trusted', False):
+            # only distrust a cell if it actually has some output to distrust
+            if not self._check_cell(cell):
                 trusted = False
         return trusted
 

IPython/nbformat/tests/test3.ipynb

@@ -40,17 +40,7 b''
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "next_paragraph = \"\"\"\n",
-      "Aenean vitae diam consectetur, tempus arcu quis, ultricies urna. Vivamus venenatis sem \n",
-      "quis orci condimentum, sed feugiat dui porta.\n",
-      "\"\"\"\n",
-      "\n",
-      "def nifty_print(text):\n",
-      "    \"\"\"Used to test syntax highlighting\"\"\"\n",
-      "    \n",
-      "    print(text * 2)\n",
-      "\n",
-      "nifty_print(next_paragraph)"
+      "print(\"hello\")"
      ],
      "language": "python",
      "metadata": {},
@@ -59,17 +49,11 b''
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "\n",
-        "Aenean vitae diam consectetur, tempus arcu quis, ultricies urna. Vivamus venenatis sem \n",
-        "quis orci condimentum, sed feugiat dui porta.\n",
-        "\n",
-        "Aenean vitae diam consectetur, tempus arcu quis, ultricies urna. Vivamus venenatis sem \n",
-        "quis orci condimentum, sed feugiat dui porta.\n",
-        "\n"
+        "hello\n"
        ]
       }
      ],
-     "prompt_number": 3
+     "prompt_number": 1
     },
     {
      "cell_type": "heading",
@@ -83,28 +67,57 b''
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "Text = \"\"\"\n",
-      "Aliquam blandit aliquet enim, eget scelerisque eros adipiscing quis. Nunc sed metus \n",
-      "ut lorem condimentum condimentum nec id enim. Sed malesuada cursus hendrerit. Praesent \n",
-      "et commodo justo. Interdum et malesuada fames ac ante ipsum primis in faucibus. \n",
-      "Curabitur et magna ante. Proin luctus tellus sit amet egestas laoreet. Sed dapibus \n",
-      "neque ac nulla mollis cursus. Fusce mollis egestas libero mattis facilisis.\n",
-      "\"\"\"\n",
-      "Text"
+      "from IPython.display import HTML\n",
+      "HTML(\"\"\"\n",
+      "<script>\n",
+      "console.log(\"hello\");\n",
+      "</script>\n",
+      "<b>HTML</b>\n",
+      "\"\"\")"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [
       {
+       "html": [
+        "\n",
+        "<script>\n",
+        "console.log(\"hello\");\n",
+        "</script>\n",
+        "<b>HTML</b>\n"
+       ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 2,
+       "prompt_number": 3,
+       "text": [
+        "<IPython.core.display.HTML at 0x1112757d0>"
+       ]
+      }
+     ],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%javascript\n",
+      "console.log(\"hi\");"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "javascript": [
+        "console.log(\"hi\");"
+       ],
+       "metadata": {},
+       "output_type": "display_data",
        "text": [
-        "'\\nAliquam blandit aliquet enim, eget scelerisque eros adipiscing quis. Nunc sed metus \\nut lorem condimentum condimentum nec id enim. Sed malesuada cursus hendrerit. Praesent \\net commodo justo. Interdum et malesuada fames ac ante ipsum primis in faucibus. \\nCurabitur et magna ante. Proin luctus tellus sit amet egestas laoreet. Sed dapibus \\nneque ac nulla mollis cursus. Fusce mollis egestas libero mattis facilisis.\\n'"
+        "<IPython.core.display.Javascript at 0x1112b4b50>"
        ]
       }
      ],
-     "prompt_number": 2
+     "prompt_number": 7
     },
     {
      "cell_type": "heading",
@@ -118,8 +131,8 b''
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "from IPython.core.display import Image\n",
-      "Image(data=\"http://ipython.org/_static/IPy_header.png\")"
+      "from IPython.display import Image\n",
+      "Image(\"http://ipython.org/_static/IPy_header.png\")"
      ],
      "language": "python",
      "metadata": {},
@@ -130,7 +143,7 b''
        "png": 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L0amUWggcqrXO8gg2FKHG2CdW4Uem9XvBlUflu7RUaiByU3lPa92ZKN8cSav8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\nHMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n",
        "prompt_number": 6,
        "text": [
-        "<IPython.core.display.Image at 0x2100f90>"
+        "<IPython.core.display.Image at 0x111275490>"
        ]
       }
      ],

IPython/nbformat/tests/test_sign.py

@@ -109,4 +109,12 b' class TestNotary(TestsBase):'
         self.assertFalse(self.notary.check_cells(nb))
         for cell in nb.worksheets[0].cells:
             self.assertNotIn('trusted', cell)
+    
+    def test_trust_no_output(self):
+        nb = self.nb
+        self.notary.mark_cells(nb, False)
+        for cell in nb.worksheets[0].cells:
+            if cell.cell_type == 'code':
+                cell.outputs = []
+        self.assertTrue(self.notary.check_cells(nb))