diff --git a/test/ci/scripts/clang-tidy2code-quality.py b/test/ci/scripts/clang-tidy2code-quality.py
index c260d94f5..1f5c5e615 100644
--- a/test/ci/scripts/clang-tidy2code-quality.py
+++ b/test/ci/scripts/clang-tidy2code-quality.py
@@ -1,72 +1,80 @@
 #!/usr/bin/env python3
 import re
 import os
 import hashlib
 import json
 import sys
 
 
 # 7-bit C1 ANSI sequences
 ansi_escape = re.compile(r'''
     \x1B  # ESC
     (?:   # 7-bit C1 Fe (except CSI)
         [@-Z\\-_]
     |     # or [ for CSI, followed by a control sequence
         \[
         [0-?]*  # Parameter bytes
         [ -/]*  # Intermediate bytes
         [@-~]   # Final byte
     )
 ''', re.VERBOSE)
 
 re_log_parse = re.compile(
     r'(?P<file>.*\.(cc|hh)):(?P<line>[0-9]+):(?P<column>[0-9]+): warning: (?P<detail>.*) \[(?P<type>.*)\]'  # noqa
 )
 
 
 categories = {
     "bugprone": "Bug Risk",
     "modernize": "Clarity",
     "mpi": "Bug Risk",
     "openmp": "Bug Risk",
     "performance": "Performance",
     "readability": "Clarity",
 }
 
-issues = []
+issues = {}
 
 with open('clang-tidy-all-out.log', 'r') as log:
     for line in log:
         clean_line = ansi_escape.sub('', line)
         match = re_log_parse.match(clean_line)
         if match:
             line_dict = match.groupdict()
             line_dict['file'] = os.path.relpath(line_dict['file'])
 
             line_dict['fingerprint'] = hashlib.md5(
                 '{file}:{line}:{column}:{type}'.format(**line_dict).encode()
             ).hexdigest()
 
             issue = {
                 'type': 'issue',
                 'description': line_dict['detail'],
                 'fingerprint': line_dict['fingerprint'],
                 'location': {
                     "path": line_dict['file'],
                     "lines": {
+                        "begin": int(line_dict['line']),
+                        "end": int(line_dict['line']),
+                    },
+                    "positions": {
                         "begin": {
                             "line": int(line_dict['line']),
                             "column": int(line_dict['column']),
                         },
-                    }
+                    },
+
                 },
                 'severity': 'minor',
             }
 
             category = line_dict['type'].split('-')[0]
             if category in categories:
                 issue['category'] = categories[category]
 
-            issues.append(issue)
+            # use a dictionnary to avoid duplicates
+            issues[issue['fingerprint']] = issue
+
+issues = list(issues.values())
 
 json.dump(issues, sys.stdout)