Disk/memory modes of PersHelper

src/scorep_jupyter/kernel.py

@@ -66,16 +66,15 @@ def switch_serializer(self, code):
         """
         Switch serializer backend used for persistence in kernel.
         """
-        # clean pipes before switching
+        # Clean files/pipes before switching
         self.pershelper.postprocess()
 
         serializer = code.split('\n')[1]
-        if serializer == 'dill':
-            self.pershelper = PersHelper('dill')
-        elif serializer == 'cloudpickle':
-            self.pershelper = PersHelper('cloudpickle')
-
-        self.cell_output(f'Serializer backend switched to {serializer}, persistence was reset.')
+        if serializer in ['dill', 'cloudpickle']:
+            self.pershelper = PersHelper(serializer)
+            self.cell_output(f'Serializer backend switched to {serializer}, persistence was reset.')
+        else:   
+            self.cell_output(f'KernelError: {serializer} serializer backend is not supported.', 'stderr')
         return self.standard_reply()
 
     def set_scorep_env(self, code):
@@ -223,14 +222,15 @@ async def scorep_execute(self, code, silent, store_history=True, user_expression
         """
         Execute given code with Score-P Python bindings instrumentation.
         """
-        # set up pipes for the communication
+        # Set up files/pipes for persistence communication
         if not self.pershelper.preprocess():
-            self.cell_output("Error setting up the communication. Please try again. Aborting.", "stderr")
+            self.pershelper.postprocess()
+            self.cell_output("KernelError: Failed to set up the persistence communication files/pipes.", "stderr")
             return self.standard_reply()
 
         # Prepare code for the Score-P instrumented execution as subprocess
         # Transmit user persistence and updated sys.path from Jupyter notebook to subprocess
-        # After running code, transmit subprocess persistence back to Jupyter notebook
+        # After running the code, transmit subprocess persistence back to Jupyter notebook
         with open(scorep_script_name, 'w') as file:
             file.write(self.pershelper.subprocess_wrapper(code))
 
@@ -239,45 +239,29 @@ async def scorep_execute(self, code, silent, store_history=True, user_expression
             self.scorep_binding_args + [scorep_script_name]
         proc_env = self.scorep_env.copy()
         proc_env.update({'PATH': os.environ['PATH'], 'PYTHONUNBUFFERED': 'x'}) # scorep path, subprocess observation
-
         proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, env=proc_env)
+
         # Ghost cell - dump current Jupyter session for subprocess
         # Run in a "silent" way to not increase cells counter
-        #self.cell_output("Subprocess launched")
-        #self.cell_output(self.pershelper.jupyter_dump())
-
-
         reply_status_dump = await super().do_execute(self.pershelper.jupyter_dump(), silent, store_history=False,
                                                     user_expressions=user_expressions, allow_stdin=allow_stdin, cell_id=cell_id)
         if reply_status_dump['status'] != 'ok':
             self.shell.execution_count += 1
             reply_status_dump['execution_count'] = self.shell.execution_count - 1
             self.pershelper.postprocess()
-            self.cell_output("KernelError: Failed to pickle previous notebook's persistence and variables.",
-                            'stderr')
+            self.cell_output("KernelError: Failed to pickle notebook's persistence.", 'stderr')
             return reply_status_dump
 
         # Redirect process stderr to stdout and observe the latter
         # Observing two stream with two threads causes interference in cell_output in Jupyter notebook
         # stdout is read in chunks, which are split into lines using \r or \n as delimiter
         # Last element in the list might be "incomplete line", not ending with \n or \r, it is saved
         # and merged with the first line in the next chunk
-
-        if os.environ['SCOREP_KERNEL_PERSISTENCE_MODE'] == 'MEMORY':
-            # connect to the communication pipe in case of in-memory communication for persistence
-            flags = os.O_RDONLY | os.O_NONBLOCK
-            comm_pipe =os.open(self.pershelper.paths['subprocess']['comm'], flags=flags)
-
         incomplete_line = ''
         endline_pattern = re.compile(r'(.*?[\r\n]|.+$)')
         # Empty cell output, required for interactive output e.g. tqdm for-loop progress bar
         self.cell_output('\0')
         while True:
-            if os.environ['SCOREP_KERNEL_PERSISTENCE_MODE'] == 'MEMORY':
-                comm_chunk = os.read(comm_pipe, 1)
-                if comm_chunk != b'':
-                    # for pipe communication, we break as soon as os we get notified by subprocess via comm pipe
-                    break
             chunk = b'' + proc.stdout.read(READ_CHUNK_SIZE)
             if chunk == b'':
                 break
@@ -293,31 +277,24 @@ async def scorep_execute(self, code, silent, store_history=True, user_expression
                     self.cell_output(line)
 
         # os_environ_.clear()
-
         # sys_path_.clear()
-
-        # Ghost cell - load subprocess definitions and persistence back to Jupyter notebook
+        # Ghost cell - load subprocess persistence back to Jupyter notebook
         # Run in a "silent" way to not increase cells counter
         reply_status_update = await super().do_execute(self.pershelper.jupyter_update(code), silent, store_history=False,
                                                     user_expressions=user_expressions, allow_stdin=allow_stdin, cell_id=cell_id)
-
         if reply_status_update['status'] != 'ok':
-            # tidy up
             self.pershelper.postprocess()
             self.shell.execution_count += 1
             reply_status_update['execution_count'] = self.shell.execution_count - 1
-            self.cell_output("KernelError: Failed to load cell's persistence and variables to the notebook.",
-                            'stderr')
+            self.cell_output("KernelError: Failed to load cell's persistence to the notebook.", 'stderr')
             return reply_status_update
 
         if proc.returncode:
-            # tidy up
             self.pershelper.postprocess()
-            self.cell_output(
-                'KernelError: Cell execution failed, cell persistence and variables are not recorded.',
-                'stderr')
+            self.cell_output('KernelError: Cell execution failed, cell persistence was not recorded.', 'stderr')
             return self.standard_reply()
 
+        # Determine directory to which trace files were saved by Score-P
         if 'SCOREP_EXPERIMENT_DIRECTORY' in self.scorep_env:
             scorep_folder = self.scorep_env['SCOREP_EXPERIMENT_DIRECTORY']
             self.cell_output(
@@ -333,7 +310,6 @@ async def scorep_execute(self, code, silent, store_history=True, user_expression
             else:
                 self.cell_output("KernelWarning: Instrumentation results were not saved locally.", 'stderr')
 
-        # tidy up
         self.pershelper.postprocess()
         return self.standard_reply()