CU-86956a6y5 improve comparison

medcat/compare_models/comp_nbhelper.py

@@ -0,0 +1,143 @@
+from ipyfilechooser import FileChooser
+from ipywidgets import widgets
+from IPython.display import display
+import os
+from typing import List, Optional
+
+
+from compare import get_diffs_for
+from output import parse_and_show, show_dict_deep, compare_dicts
+
+
+_def_path = '../../models/modelpack'
+_def_path = _def_path if os.path.exists(_def_path) else '.'
+
+
+class NBComparer:
+
+    def __init__(self, model_path_1: str, model_path_2: str,
+                 documents_file: str, doc_limit: int, is_mct_export_compare: bool,
+                 cui_filter: str, filter_children: bool) -> None:
+        self.model_path_1 = model_path_1
+        self.model_path_2 = model_path_2
+        self.documents_file = documents_file
+        self.doc_limit = doc_limit
+        self.is_mct_export_compare = is_mct_export_compare
+        self.cui_filter = cui_filter
+        self.filter_children = filter_children
+        self._run_comparison()
+
+    def _run_comparison(self):
+        (self.cdb_comp, self.tally1, self.tally2, self.ann_diffs) = get_diffs_for(
+            self.model_path_1, self.model_path_2, self.documents_file,
+            cui_filter=self.cui_filter, include_children_in_filter=self.filter_children,
+            supervised_train_comparison_model=self.is_mct_export_compare, doc_limit=self.doc_limit)
+
+    def show_all(self):
+        parse_and_show(self.cdb_comp, self.tally1, self.tally2, self.ann_diffs)
+
+    def show_per_document(self, limit: int = -1, print_delimiter: bool = True,
+                          ignore_empty: bool = True):
+        cnt = 0
+        for key in self.ann_diffs.per_doc_results.keys():
+            comp_dict = self.ann_diffs.per_doc_results[key].nr_of_comparisons
+            if not ignore_empty or comp_dict: # ignore empty ones
+                if print_delimiter:
+                    print('='*20,f'\n{key}', f'\n{"="*20}')
+                show_dict_deep(self.ann_diffs.per_doc_results[key].nr_of_comparisons)
+                cnt += 1
+            if limit > -1 and cnt == limit:
+                break
+
+    def diffs_to_csv(self, file_path: str) -> None:
+        self.ann_diffs.to_csv(file_path)
+
+    def compare_for_cui(self, cui: str, include_children: int = 2) -> None:
+        per_cui1 = self.tally1.get_for_cui(cui, include_children=include_children)
+        per_cui2 = self.tally2.get_for_cui(cui, include_children=include_children)
+        compare_dicts(per_cui1, per_cui2)
+
+    def show_docs(self, docs: List[str], show_delimiter: bool = True,
+                  omit_identical: bool = True):
+        for doc_name, pair in self.ann_diffs.iter_ann_pairs(docs=docs, omit_identical=omit_identical):
+            if show_delimiter:
+                print('='*20,f'\n{doc_name} ({pair.comparison_type})', f'\n{"="*20}')
+            # NOTE: if only one of the two has an annotation, the other one will be None
+            #       the following will deal with that automatically, though
+            compare_dicts(pair.one, pair.two)
+
+
+class NBInputter:
+    models_overall_title = "Models and data"
+    mc1_title = "Choose model 1"
+    mc2_title = "Choose model 2 (or an MCT export)"
+    docs_title = "Choose the documents file (.csv with 'text' field)"
+    docs_limit_title = "Limit the number of documents to run (-1 to disable)"
+    mct_export_title = "Is the 2nd path an MCT export (instead of a model)?"
+    cui_filter_title_overall = "CUI Filter"
+    cui_filter_title_file_chooser = "Choose file with comma-separated CUIs"
+    cui_filter_title_text = "List comma-separated CUIs"
+    cui_children_title = "How many layers of children of concepts to include?"
+
+    def __init__(self) -> None:
+        self.model1_chooser = FileChooser(_def_path)
+        self.model2_chooser = FileChooser(_def_path)
+        self.documents_chooser = FileChooser(".")
+        self.doc_limit = widgets.IntText(-1)
+        self.ckbox = widgets.Checkbox(description="MCT export compare")
+
+        self.cui_filter_chooser = FileChooser(".", description="The CUI filter file")
+        self.cui_filter_box = widgets.Textarea(description="CUI list")
+        self.cui_children = widgets.IntText(description="Children", value=-1)
+
+    def show_all(self):
+        model_choosers = widgets.VBox([
+            widgets.HTML(f"<h2>{self.models_overall_title}</h2>"),
+            widgets.VBox([widgets.Label(self.mc1_title), self.model1_chooser]),
+            widgets.VBox([widgets.Label(self.mc2_title), self.model2_chooser]),
+            widgets.VBox([widgets.Label(self.docs_title), self.documents_chooser]),
+            widgets.VBox([widgets.Label(self.docs_limit_title), self.doc_limit]),
+            widgets.VBox([widgets.Label(self.mct_export_title), self.ckbox])
+        ])
+
+        cui_filter = widgets.VBox([
+            widgets.HTML(f"<h2>{self.cui_filter_title_overall}</h2>"),
+            widgets.VBox([widgets.Label(self.cui_filter_title_file_chooser), self.cui_filter_chooser]),
+            widgets.VBox([widgets.Label(self.cui_filter_title_text), self.cui_filter_box]),
+            widgets.VBox([widgets.Label(self.cui_children_title), self.cui_children])
+        ])
+
+        # Combine all sections into a main VBox
+        main_box = widgets.VBox([
+            model_choosers,
+            cui_filter
+        ])
+        display(main_box)
+
+
+    def _get_params(self):
+        model_path_1 = self.model1_chooser.selected
+        model_path_2 = self.model2_chooser.selected
+        documents_file = self.documents_chooser.selected
+        doc_limit = self.doc_limit.value
+        is_mct_export_compare = self.ckbox.value
+        if not is_mct_export_compare:
+            print(f"For models, selected:\nModel1: {model_path_1}\nModel2: {model_path_2}"
+                f"\nDocuments: {documents_file}")
+        else:
+            print(f"Selected:\nModel: {model_path_1}\nMCT export: {model_path_2}"
+                f"\nDocuments: {documents_file}")
+        # CUI filter
+        cui_filter = None
+        filter_children = None
+        if self.cui_filter_chooser.selected:
+            cui_filter = self.cui_filter_chooser.selected
+        elif self.cui_filter_box.value:
+            cui_filter = self.cui_filter_box.value
+        if self.cui_children.value and self.cui_children.value > 0:
+            filter_children = self.cui_children.value
+        print(f"For CUI filter, selected:\nFilter: {cui_filter}\nChildren: {filter_children}")
+        return (model_path_1, model_path_2, documents_file, doc_limit, is_mct_export_compare, cui_filter, filter_children)
+
+    def get_comparison(self) -> NBComparer:
+        return NBComparer(*self._get_params())

medcat/compare_models/compare.py

@@ -7,7 +7,7 @@
 import pandas as pd
 import tqdm
 import tempfile
-import os
+from itertools import islice
 
 from compare_cdb import compare as compare_cdbs, CDBCompareResults
 from compare_annotations import ResultsTally, PerAnnotationDifferences
@@ -17,18 +17,22 @@
 
 
 
-def load_documents(file_name: str) -> Iterator[Tuple[str, str]]:
+def load_documents(file_name: str, doc_limit: int = -1) -> Iterator[Tuple[str, str]]:
     with open(file_name) as f:
         df = pd.read_csv(f, names=["id", "text"])
     if df.iloc[0].id == "id" and df.iloc[0].text == "text":
         # removes the header
         # but also messes up the index a little
         df = df.iloc[1:, :]
-    yield from df.itertuples(index=False)
+    if doc_limit == -1:
+        yield from df.itertuples(index=False)
+    else:
+        yield from islice(df.itertuples(index=False), doc_limit)
 
 
 def do_counting(cat1: CAT, cat2: CAT,
-                ann_diffs: PerAnnotationDifferences) -> ResultsTally:
+                ann_diffs: PerAnnotationDifferences,
+                doc_limit: int = -1) -> ResultsTally:
     def cui2name(cat, cui):
         if cui in cat.cdb.cui2preferred_name:
             return cat.cdb.cui2preferred_name[cui]
@@ -39,7 +43,8 @@ def cui2name(cat, cui):
                         cui2name=partial(cui2name, cat1))
     res2 = ResultsTally(pt2ch=_get_pt2ch(cat2), cat_data=cat2.cdb.make_stats(),
                         cui2name=partial(cui2name, cat2))
-    for per_doc in tqdm.tqdm(ann_diffs.per_doc_results.values()):
+    total = doc_limit if doc_limit != -1 else None
+    for per_doc in tqdm.tqdm(ann_diffs.per_doc_results.values(), total=total):
         res1.count(per_doc.raw1)
         res2.count(per_doc.raw2)
     return res1, res2
@@ -52,6 +57,7 @@ def _get_pt2ch(cat: CAT) -> Optional[Dict]:
 def get_per_annotation_diffs(cat1: CAT, cat2: CAT, documents: Iterator[Tuple[str, str]],
                              show_progress: bool = True,
                              keep_raw: bool = True,
+                             doc_limit: int = -1
                              ) -> PerAnnotationDifferences:
     pt2ch1: Optional[Dict] = _get_pt2ch(cat1)
     pt2ch2: Optional[Dict] = _get_pt2ch(cat2)
@@ -63,7 +69,8 @@ def get_per_annotation_diffs(cat1: CAT, cat2: CAT, documents: Iterator[Tuple[str
                                    model2_cuis=set(cat2.cdb.cui2names),
                                    keep_raw=keep_raw,
                                    save_options=save_opts)
-    for doc_id, doc in tqdm.tqdm(documents, disable=not show_progress):
+    total = doc_limit if doc_limit != -1 else None
+    for doc_id, doc in tqdm.tqdm(documents, disable=not show_progress, total=total):
         pad.look_at_doc(cat1.get_entities(doc), cat2.get_entities(doc), doc_id, doc)
     pad.finalise()
     return pad
@@ -107,9 +114,10 @@ def get_diffs_for(model_pack_path_1: str,
                   include_children_in_filter: Optional[int] = None,
                   supervised_train_comparison_model: bool = False,
                   keep_raw: bool = True,
+                  doc_limit: int = -1,
                   ) -> Tuple[CDBCompareResults, ResultsTally, ResultsTally, PerAnnotationDifferences]:
     validate_input(model_pack_path_1, model_pack_path_2, documents_file, cui_filter, supervised_train_comparison_model)
-    documents = load_documents(documents_file)
+    documents = load_documents(documents_file, doc_limit=doc_limit)
     if show_progress:
         print("Loading [1]", model_pack_path_1)
     cat1 = CAT.load_model_pack(model_pack_path_1)
@@ -145,10 +153,11 @@ def get_diffs_for(model_pack_path_1: str,
                       len(cui_filter), "CUIs")
         cat1.config.linking.filters.cuis = cui_filter
         cat2.config.linking.filters.cuis = cui_filter
-    ann_diffs = get_per_annotation_diffs(cat1, cat2, documents, keep_raw=keep_raw)
+    ann_diffs = get_per_annotation_diffs(cat1, cat2, documents, keep_raw=keep_raw,
+                                         doc_limit=doc_limit)
     if show_progress:
         print("Counting [1&2]")
-    res1, res2 = do_counting(cat1, cat2, ann_diffs)
+    res1, res2 = do_counting(cat1, cat2, ann_diffs, doc_limit=doc_limit)
     if show_progress:
         print("CDB compare")
     cdb_diff = compare_cdbs(cat1.cdb, cat2.cdb)

medcat/compare_models/data/demo-physio-mobility/cui_filter.csv

@@ -0,0 +1 @@
+289001005,289004002,226207007,165224005,129043005,129040008,129041007,704440004,704439001,704437004,129065005,129039006,129035000,165232002,1080000000000000,716422006,45850009,284908004,129045003,129062008,714887007,714916007,719024002,715127003,714915006,282882001,302040002,302043000,165243005,365112008,165255004,105504002,301563003,301497008,160680006,301589003,165248001,165249009,362000000000000,270469004,160729004,248000000000000,160734000,405807003,160685001,285035003,285038001,285034004,428483004,1912002,431188001,864000000000000,301563003,1070000000000000,301497008,78459008,284915007,307439001,229798009,229799001,229797004,31000000000000,818000000000000,763692001,404934007,863721000000101,1100000017,1100000016,1100000030,1100000030,1100000011,863721000000101,863721000000101,863721000000101,282884000,282884000,282884000,1100000027,361721000000103,1100000028,361721000000103,1100000028,361721000000103,1100000027,361721000000103,361721000000103,1100000027,1100000028,1100000027,361721000000103,361721000000103,1100000028,1100000031,31031000119102,310131003,895488007,895488007,394923006,394923006,394923006,394923006,394923006,248171000000108,248171000000108,248171000000108,248171000000108,1100000015,1100000015,1100000012,1100000012,1100000013,1100000012,302046008,25711000087100,165233007,1100000029,718705001,718360006,282871009,895486006,895486006,895486006,895486006,699650006,699650006,8510008,273302005,306171006,257301003,404930003,404930003,404930003,224221006,261001000,184156005,184156005,183376001,154091000119106,301627005,301627005,725594005,445414007,165803005,323701000000101,72042002,24029004,282971008,10610811000001107,161903000,979501000000100,301477003,282966001,1149222004,371153006,311925007,225602000,763264000,249902000,249902000,223600005,386323002,37013008,205511000000108,325831000000100,1073861000000108,273469003,129032002,286489001,761481000000107,129072006,1073311000000100,286489001,286490005,129026007,160689007,286493007,129031009,1069991000000102,1071641000000109,960681000000109