keep, rename and move temp folder with report

@karnem @kamile

In this MR instead of removing the slurm_temp folder after successful output, the slurm_out folder is kept without the files used for creating the report (sphinx needed files.) and the folder is renamed as the report name.

xfel_calibrate/calibrate.py

 #!/usr/bin/env python
 
 import argparse
-import copy
 from datetime import datetime
 import nbconvert
 import nbformat
@@ -9,12 +8,10 @@ from nbparameterise import (
     extract_parameters, replace_definitions, parameter_values
 )
 import os
-from os import chdir
 import pprint
 import re
-from subprocess import Popen, PIPE, check_output
+from subprocess import check_output
 import sys
-from uuid import uuid4
 import warnings
 from .settings import *
 from .notebooks import notebooks
@@ -685,13 +682,12 @@ def concurrent_run(temp_path, nb, nbname, args, cparm=None, cval=None,
     return jobid
 
 
-def make_par_table(parms, temp_path, run_uuid):
+def make_par_table(parms, run_tmp_path):
     """
-    Create a table with input parameters if the notebook
+    Create a table with input parameters of the notebook
 
     :param parms: parameters of the notebook
-    :param temp_path: path to temporary directory for job outputs
-    :param run_uuid: inset of folder name containing job output
+    :param run_tmp_path: path to temporary directory for running job outputs
     """
 
     # Add space in long strings without line breakers ` ,-/` to
@@ -747,7 +743,7 @@ def make_par_table(parms, temp_path, run_uuid):
                         \end{longtable}
                     ''')
 
-    f_name = "{}/slurm_tmp_{}/InputParameters.rst".format(temp_path, run_uuid)
+    f_name = "{}/InputParameters.rst".format(run_tmp_path)
     with open(f_name, "w") as finfile:
         finfile.write(textwrap.dedent(tmpl.render(p=col_type, lines=l_parms)))
 
@@ -818,7 +814,7 @@ def run():
 
         title = title.rstrip()
 
-        run_uuid = uuid4()
+        run_uuid = f"t{datetime.now().strftime('%y%m%d_%H%M%S')}"
 
         # check if concurrency parameter is given and we run concurrently
         if not has_parm(parms, concurrency["parameter"]) and concurrency["parameter"] is not None:
@@ -834,12 +830,12 @@ def run():
             cluster_profile = "slurm_prof_{}".format(run_uuid)
 
         # create a temporary output directory to work in
-        run_tmp_path = "{}/slurm_tmp_{}".format(temp_path, run_uuid)
+        run_tmp_path = "{}/slurm_out_{}_{}_{}".format(temp_path, detector, caltype, run_uuid)
         os.makedirs(run_tmp_path)
 
         # Write all input parameters to rst file to be included to final report
         parms = parameter_values(parms, **args)
-        make_par_table(parms, temp_path, run_uuid)
+        make_par_table(parms, run_tmp_path)
         save_executed_command(run_tmp_path, version)
 
         # wait on all jobs to run and then finalize the run by creating a report from the notebooks