Added basic Jupyter Note support

src/core/sheerka/Sheerka.py

@@ -115,6 +115,7 @@ class Sheerka(Concept):
 
         self.last_executions = []
         self.last_return_values = []
+        self.execution_count = 0
 
     @property
     def resolved_concepts_by_first_keyword(self):
@@ -436,6 +437,7 @@ class Sheerka(Concept):
         #         with open(CONCEPTS_FILE, "a") as f:
         #             f.write(text + "\n")
 
+        self.execution_count += 1
         self._last_execution = execution_context
         if len(self.last_executions) == self.MAX_EXECUTION_HISTORY:
             del self.last_executions[0]

src/jupyter/SheerkaKernel.py

@@ -0,0 +1,53 @@
+from core.sheerka.Sheerka import Sheerka
+from ipykernel.ipkernel import IPythonKernel
+from ipykernel.kernelapp import IPKernelApp
+from sheerkapickle import encode
+
+
+class SheerkaKernel(IPythonKernel):
+    implementation = 'Sheerka'
+    implementation_version = '0.1'
+    language = 'sheerka'
+    language_version = '0.1'
+    language_info = {
+        'name': 'Any text',
+        'mimetype': 'text/plain',
+        'file_extension': '.txt',
+    }
+    banner = "Sheerka kernel"
+
+    sheerka = Sheerka()
+    sheerka.initialize()
+
+    def __init__(self, **kwargs):
+        print(f"SheerkaKernel args: {kwargs}")
+        super().__init__(**kwargs)
+
+    def do_execute(self, code, silent, store_history=True, user_expressions=None, allow_stdin=False):
+        result = self.sheerka.evaluate_user_input(code)
+
+        if not silent:
+            display_data_content = {
+                'data': {
+                    'text/plain': str(result),
+                    'application/json': encode(self.sheerka, result)
+                },
+                'metadata': {
+                    'application/json': {'expanded': True}
+                },
+                'execution_count': self.sheerka.execution_count,
+
+            }
+            stream_content = {'name': 'stdout', 'text': display_data_content}
+            # self.send_response(self.iopub_socket, "stream", stream_content)
+            self.send_response(self.iopub_socket, "execute_result", display_data_content)
+
+        return {'status': 'ok',
+                # The base class increments the execution count
+                'execution_count': self.sheerka.execution_count,
+                'payload': [],
+                'user_expressions': {}}
+
+
+if __name__ == '__main__':
+    IPKernelApp.launch_instance(kernel_class=SheerkaKernel)

src/jupyter/install_kernel.md

@@ -0,0 +1,18 @@
+To make Jupyter notebook recognize Sheerka, 
+the file kernel.json must be copied where the kernels are declared
+
+ * First, open the kernel.json file and make sure that the path to SheerkaKernel is correct.
+ * The copy it to the correct location
+    * You can use the command 'jupyter kernelspec install </path/to/kernel>'
+    * or simply copy it using cp ;-)
+
+Valid locations for kernel.json are
+
+| | Unix | Windows |
+|----|------| ---------------| 	
+|System | /usr/share/jupyter/kernels<br> /usr/local/share/jupyter/kernels  | %PROGRAMDATA%\jupyter\kernels | 
+|Env |{sys.prefix}/share/jupyter/kernels |  |
+| User 	| ~/.local/share/jupyter/kernels (Linux)<br> ~/Library/Jupyter/kernels (Mac) | %APPDATA%\jupyter\kernels |
+	
+	
+from https://jupyter-client.readthedocs.io/en/latest/kernels.html#kernel-specs

src/jupyter/kernel.json

@@ -0,0 +1,3 @@
+{"argv":["python", "/home/kodjo/Dev/Sheerka/src/jupyter/SheerkaKernel.py", "-f", "{connection_file}"],
+ "display_name":"Sheerka"
+}

src/parsers/BnfParser.py

@@ -16,7 +16,7 @@ class UnexpectedEndOfFileError(ErrorNode):
 
 class BnfParser(BaseParser):
     """
-    Parser used to transform litteral into ParsingExpression
+    Parser used to transform literal into ParsingExpression
     example :
     a | b, c -> Sequence(OrderedChoice(a, b) ,c)