add extra checks for parsing comments

rmgpy/data/kinetics/family.py

@@ -4429,6 +4429,8 @@ def assign_weights_to_entries(entry_nested_list, weighted_entries, n=1):
                     re.sub(r"(?<=]) \+ (?!Average)", ",'",      # + sign between average and non-average
                     re.sub(r"(?<!]) \+ (?!Average)", "','",     # + sign between non-averages
                     comment)))))))
+                if "['" in eval_comment_string and "']" not in eval_comment_string:
+                    eval_comment_string = eval_comment_string.replace("]", "']")
 
                 entry_nested_list = eval(eval_comment_string)
 
@@ -4489,6 +4491,11 @@ def extract_source_from_comments(self, reaction):
         training_entries = None
         degeneracy = 1
 
+        for line in lines:
+            if 'Ea raised from' in line:
+                print('how is this handled?')
+                break
+
         regex = r"\[(.*)\]"  # only hit outermost brackets
         for line in lines:
             if line.startswith('Matched'):
@@ -4522,26 +4529,44 @@ def extract_source_from_comments(self, reaction):
 
         # Check whether we're using the old rate rule templates or the new BM tree nodes
         if full_comment_string.find('for rate rule') < 0:  # New trees
-
-            start_tag = 'Estimated from node '
-            end_tag = 'Multiplied by reaction path degeneracy'
-
-            start_loc = full_comment_string.find(start_tag)
-            end_loc = full_comment_string.find(end_tag)
-            if start_loc == -1:
-                raise ValueError('Could not find start of node in comments')
-            if end_loc == -1:
-                # check if the nodename is the last token
-                node_tokens = full_comment_string.split()
-                if node_tokens[-2] == 'node':
-                    end_loc = None
-                else:
-                    raise ValueError('Could not find end of node in comments')
+            matches = []
+            matches = re.search(r'This reaction matched rate rule \[(.*?)\]', full_comment_string)
+            if matches:
+                node = matches[1]
+                node = node.replace('\\n', '')
+                node = node.replace('# ', '')
+                node = node.replace('! ', '')
+                node = node.replace(' ', '')
+                node = ''.join(node.split())
+                if ' ' in node:
+                    print('problem!')
+            else:
+                start_tag = 'Estimated from node '
+                end_tag = 'Multiplied by reaction path degeneracy'
+
+                start_loc = full_comment_string.find(start_tag)
+                end_loc = full_comment_string.find(end_tag)
+                if start_loc == -1:
+                    raise ValueError('Could not find start of node in comments')
+                if end_loc == -1:
+                    # check if the nodename is the last token
+                    node_tokens = full_comment_string.split()
+                    if node_tokens[-2] == 'node':
+                        end_loc = None
+                    else:
+                        end_loc = None
+                        print(f'Warning: Could not find end of node in comments {full_comment_string}')
+                        # raise ValueError('Could not find end of node in comments')
+
+                node = full_comment_string[start_loc + len(start_tag): end_loc]
+                node = node.replace('\\n', '')
+                node = node.replace('# ', '')
+                node = node.replace('! ', '')
+                node = node.replace(' ', '')
+                node = ''.join(node.split())
+                if ' ' in node:
+                    print('problem here!')
 
-            node = full_comment_string[start_loc + len(start_tag): end_loc]
-            node = node.replace('\\n', '')
-            node = node.replace('# ', '')
-            node = node.replace(' ', '')
             rules = ''
             training_entries = ''
             template = ''

rmgpy/tools/uncertainty.py

@@ -428,6 +428,11 @@ def extract_sources_from_model(self):
                 # Fetch standard deviation if autogenerated tree
                 if 'node' in source['Rate Rules'][1] and source['Rate Rules'][1]['node'] != '':
                     node_name = source['Rate Rules'][1]['node']
+                    # while ' ' in node_name:
+                    #     node_name = ''.join(node_name.split())
+                    if 'Earaised' in node_name:
+                        node_name = node_name.split('Earaised')[0]
+
                     long_desc = self.database.kinetics.families[reaction.family].rules.entries[node_name][0].long_desc
                     std_dev_matches = re.search(r'Standard Deviation in ln\(k\): ([0-9]*.[0-9]*)', long_desc)
                     std_dev = -1.0