v1.9.1 Release PR (#346)

* remove bad merge <p> element

* CU-8692kpchc Fix for Rosalind link not working (#342)

* CU-8692kpchc Add the 403 exception to vocab downloader

* CU-8692kpchc Add the new vocab download link

* Add missing self argument (#343)

To `_refset_df2dict ` method in Snomed preprocessing

* CU-8692kn0yv Fix issue with fake dict in identifier based config

More specifically the get method which was not able to return default values for non-existant keys (#341)

* CU-8692mevx8 Fix issue with filters not taking effect in train_supervised method (#345)

* CU-8692mevx8 Fix issue with filters not taking effect in train_supervised method

* CU-8692mevx8 Fix filter retention in train_supervised method

---------

Co-authored-by: tomolopolis <tsearle88@gmail.com>

medcat/cat.py

@@ -490,7 +490,8 @@ def _print_stats(self,
         fp_docs: Set = set()
         fn_docs: Set = set()
 
-        local_filters = self.config.linking.filters.copy_of()
+        orig_filters = self.config.linking.filters.copy_of()
+        local_filters = self.config.linking.filters
         for pind, project in tqdm(enumerate(data['projects']), desc="Stats project", total=len(data['projects']), leave=False):
             local_filters.cuis = set()
 
@@ -645,6 +646,8 @@ def _print_stats(self,
         except Exception:
             traceback.print_exc()
 
+        self.config.linking.filters = orig_filters
+
         return fps, fns, tps, cui_prec, cui_rec, cui_f1, cui_counts, examples
 
     def _set_project_filters(self, local_filters: LinkingFilters, project: dict,
@@ -1033,7 +1036,13 @@ def train_supervised_raw(self,
         """
         checkpoint = self._init_ckpts(is_resumed, checkpoint)
 
-        local_filters = self.config.linking.filters.copy_of()
+        # the config.linking.filters stuff is used directly in
+        # medcat.linking.context_based_linker and medcat.linking.vector_context_model
+        # as such, they need to be kept up to date with per-project filters
+        # However, the original state needs to be kept track of
+        # so that it can be restored after training
+        orig_filters = self.config.linking.filters.copy_of()
+        local_filters = self.config.linking.filters
 
         fp = fn = tp = p = r = f1 = examples = {}
 
@@ -1094,7 +1103,7 @@ def train_supervised_raw(self,
                 if retain_filters and extra_cui_filter and not retain_extra_cui_filter:
                     # adding project filters without extra_cui_filters
                     self._set_project_filters(local_filters, project, set(), use_filters)
-                    self.config.linking.filters.merge_with(local_filters)
+                    orig_filters.merge_with(local_filters)
                     # adding extra_cui_filters, but NOT project filters
                     self._set_project_filters(local_filters, project, extra_cui_filter, False)
                     # refrain from doing it again for subsequent epochs
@@ -1140,7 +1149,7 @@ def train_supervised_raw(self,
                         checkpoint.save(self.cdb, latest_trained_step)
                 # if retaining MCT filters AND (if they exist) extra_cui_filters
                 if retain_filters:
-                    self.config.linking.filters.merge_with(local_filters)
+                    orig_filters.merge_with(local_filters)
                     # refrain from doing it again for subsequent epochs
                     retain_filters = False
 
@@ -1162,6 +1171,9 @@ def train_supervised_raw(self,
                                                                                use_groups=use_groups,
                                                                                extra_cui_filter=extra_cui_filter)
 
+        # reset the state of filters
+        self.config.linking.filters = orig_filters
+
         return fp, fn, tp, p, r, f1, cui_counts, examples
 
     def get_entities(self,

medcat/config.py

@@ -28,7 +28,11 @@ class FakeDict:
     """FakeDict that allows the use of the __getitem__ and __setitem__ method for legacy access."""
 
     def __getitem__(self, arg: str) -> Any:
-        return getattr(self, arg)
+        try:
+            return getattr(self, arg)
+        except AttributeError as e:
+            raise KeyError from e
+
 
     def __setitem__(self, arg: str, val) -> None:
         setattr(self, arg, val)

medcat/utils/preprocess_snomed.py

@@ -327,7 +327,7 @@ def _check_path_and_release(self):
             raise FileNotFoundError('Incorrect path to SNOMED CT directory')
         return paths, snomed_releases
 
-    def _refset_df2dict(refset_df: pd.DataFrame) -> dict:
+    def _refset_df2dict(self, refset_df: pd.DataFrame) -> dict:
         """
         This function takes a SNOMED refset DataFrame as an input and converts it into a dictionary.
         The DataFrame should contain the columns 'referencedComponentId','mapTarget','mapGroup','mapPriority','mapRule','mapAdvice'.

tests/helper.py

@@ -24,6 +24,15 @@ async def __call__(self, *args, **kwargs):
 </body></html>
 """
 
+ERROR_403 = b"""<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN">
+<html><head>
+<title>403 Forbidden</title>
+</head><body>
+<h1>Forbidden</h1>
+<p>You don't have permission to access this resource.</p>
+</body></html>
+"""
+
 SIMPLE_WORDS = """house	34444	 0.3232 0.123213 1.231231
 dog	14444	0.76762 0.76767 1.45454"""
 
@@ -45,7 +54,7 @@ def generate_simple_vocab():
 
 
 class VocabDownloader:
-    url = 'https://medcat.rosalind.kcl.ac.uk/media/vocab.dat'
+    url = 'https://cogstack-medcat-example-models.s3.eu-west-2.amazonaws.com/medcat-example-models/vocab.dat'
     vocab_path = "./tmp_vocab.dat"
     _has_simple = False
 
@@ -54,6 +63,8 @@ def is_valid(self):
             content = f.read()
         if content == ERROR_503:
             return False
+        if content == ERROR_403:
+            return False
         v = Vocab.load(self.vocab_path)
         if len(v.vocab) == 2:  # simple one
             self._has_simple = True
@@ -64,7 +75,7 @@ def check_or_download(self):
         if os.path.exists(self.vocab_path) and self.is_valid():
             return
         tmp = requests.get(self.url)
-        if tmp.content == ERROR_503:
+        if tmp.content == ERROR_503 or tmp.content == ERROR_403:
             print('Rosalind server unavailable')
             if self._has_simple:
                 print('Local simple vocab already present')

webapp/webapp/demo/templates/train_annotations.html

@@ -29,8 +29,6 @@ <h5> Disclaimer </h5>
               WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED.
               </p><a href="mailto:contact@cogstack.com">contact@cogstack.com</a> for more information.<p>
             </p>
-              </p><a href="mailto:contact@cogstack.com">contact@cogstack.com</a> for more information.<p>
-
             <br />
             <h5> Sample text </h5>
             <pre>