delete stale fuzzy matching procedure

1 files changed, 0 insertions, 40 deletions

diff --git a/sec_certs/dataset.py b/sec_certs/dataset.py
index e35e8cd9..c8999bc8 100644
--- a/sec_certs/dataset.py
+++ b/sec_certs/dataset.py
@@ -695,46 +695,6 @@ class CCDataset(Dataset, ComplexSerializableType):
         if update_json is True:
             self.to_json(self.json_path)
 
-    # TODO: Probably breaks a logic of ceritifcate managing itself. Needs design refactoring
-    def fuzzy_match_cpe(self, cpe_path: Path, update_json: bool = False, vuln_cpe_path: Optional[Path] = None):
-        def get_cpe_titles(cpe_path: Path, only_vuln=True, vuln_path=None):
-            root = ET.parse(str(cpe_path)).getroot()
-            if only_vuln and vuln_path:
-                with vuln_path.open('r') as handle:
-                    vuln_cpes = set(json.load(handle))
-                lst = []
-                for cpe_item in root.findall('{http://cpe.mitre.org/dictionary/2.0}cpe-item'):
-                    title = cpe_item.find('{http://cpe.mitre.org/dictionary/2.0}title').text
-                    cpe_uri = cpe_item.find('{http://scap.nist.gov/schema/cpe-extension/2.3}cpe23-item').attrib['name']
-                    if cpe_uri in vuln_cpes:
-                        lst.append(title)
-            else:
-                lst = [child.text for child in root.findall('{http://cpe.mitre.org/dictionary/2.0}cpe-item/{http://cpe.mitre.org/dictionary/2.0}title')]
-            return lst
-
-        digests = [x for x in self.certs.keys()]
-        logging.info('Loading CPE titles...')
-        cpe_titles = get_cpe_titles(cpe_path, only_vuln=True, vuln_path=vuln_cpe_path)
-        logging.info(f'Retreving among {len(cpe_titles)} cpe titles.')
-
-        def chunk_list(a: List, n: int):
-            k, m = divmod(len(a), n)
-            return (a[i * k + min(i, m):(i + 1) * k + min(i + 1, m)] for i in range(n))
-
-        chunks = chunk_list(digests, constants.N_THREADS)
-        chunks_dicts = [{x: self[x].name for x in y} for y in chunks]
-
-        results = cert_processing.process_parallel(helpers.match_certs, list(
-            zip(chunks_dicts, [cpe_titles for _ in range(constants.N_THREADS)])), constants.N_THREADS,
-                                                   use_threading=False, unpack=True)
-
-        for chunk in results:
-            for digest, matches in chunk.items():
-                self[digest].cpe_matching = matches
-
-        if update_json is True:
-            self.to_json(self.json_path)
-
 
 class FIPSDataset(Dataset, ComplexSerializableType):
     FIPS_BASE_URL: ClassVar[str] = 'https://csrc.nist.gov'