update notebook demos

Author: wangcj05

examples/RuleBasedNLP.ipynb

@@ -83,7 +83,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from dackar.causal.RuleBasedMatcher import RuleBasedMatcher\n",
+    "from dackar.causal.CausalSentence import CausalSentence\n",
     "from dackar import config\n",
     "from dackar.utils.nlp.nlp_utils import generatePatternList"
    ]
@@ -173,7 +173,7 @@
    "outputs": [],
    "source": [
     "name = 'ssc_entity_ruler'\n",
-    "matcher = RuleBasedMatcher(nlp, entID=entId, causalKeywordID=causalID)\n",
+    "matcher = CausalSentence(nlp, entID=entId, causalKeywordID=causalID)\n",
     "matcher.addEntityPattern(name, patternsOPM)\n",
     "\n",
     "causalName = 'causal_keywords_entity_ruler'\n",

examples/WorkOrderProcessing.ipynb

@@ -38,7 +38,7 @@
     "frameworkDir = os.path.abspath(os.path.join(cwd, os.pardir, 'src'))\n",
     "sys.path.append(frameworkDir)\n",
     "\n",
-    "from dackar.causal.WorkOrderProcessing import WorkOrderProcessing\n",
+    "from dackar.causal.CausalPhrase import CausalPhrase\n",
     "from dackar.utils.nlp.nlp_utils import generatePatternList\n",
     "\n",
     "logging.basicConfig(format='%(asctime)s %(name)-20s %(levelname)-8s %(message)s', datefmt='%d-%b-%y %H:%M:%S', level=logging.INFO)\n",
@@ -50,7 +50,7 @@
    "id": "485dacf2",
    "metadata": {},
    "source": [
-    "#### Generate entities patterns and process text using WorkOrderProcessing class\n",
+    "#### Generate entities patterns and process text using CausalPhrase class\n",
     "\n",
     "The following information will be identified:\n",
     "\n",
@@ -71,7 +71,7 @@
     "entId = \"OPM\"\n",
     "# Load language model\n",
     "nlp = spacy.load(\"en_core_web_lg\", exclude=[])\n",
-    "matcher = WorkOrderProcessing(nlp, entID=entId)\n",
+    "matcher = CausalPhrase(nlp, entID=entId)\n",
     "\n",
     "entIDList = ['1-91120-P1', '1-91120-PM1', '91120']\n",
     "patternsEnts = generatePatternList(entIDList, label=entLabel,    id=entId,    nlp=nlp, attr=\"LEMMA\")\n",

examples/Workflow_Demo.ipynb

@@ -39,7 +39,7 @@
     "########################\n",
     "\n",
     "# Internal Modules #\n",
-    "from dackar.causal.RuleBasedMatcher import RuleBasedMatcher\n",
+    "from dackar.causal.CausalSentence import CausalSentence\n",
     "from dackar import config\n",
     "from dackar.utils.nlp.nlp_utils import generatePatternList\n",
     "from dackar.text_processing.Preprocessing import Preprocessing\n",
@@ -170,7 +170,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "matcher = RuleBasedMatcher(nlp, entID=entId, causalKeywordID=causalID)\n",
+    "matcher = CausalSentence(nlp, entID=entId, causalKeywordID=causalID)\n",
     "\n",
     "matcher.addEntityPattern('ssc_entity_ruler', patternsEnts)\n",
     "matcher.addEntityPattern('causal_keywords_entity_ruler', patternsCausal)"

tests/causal/test_causal.py

@@ -1,6 +1,6 @@
-from dackar.causal.RuleBasedMatcher import RuleBasedMatcher
+from dackar.causal.CausalSentence import CausalSentence
 from dackar.causal.OperatorShiftLogsProcessing import OperatorShiftLogs
-from dackar.causal.WorkOrderProcessing import WorkOrderProcessing
+from dackar.causal.CausalPhrase import CausalPhrase
 from dackar.config import nlpConfig
 from dackar.utils.nlp.nlp_utils import generatePatternList
 import spacy
@@ -44,9 +44,9 @@ def processCausalEnt(self):
 
   def get_matcher(self, method):
     if method == 'general':
-      matcher = RuleBasedMatcher(self.nlp, entID=self.entId, causalKeywordID=self.causalID)
+      matcher = CausalSentence(self.nlp, entID=self.entId, causalKeywordID=self.causalID)
     elif method == 'wo':
-      matcher = WorkOrderProcessing(self.nlp, entID=self.entId, causalKeywordID=self.causalID)
+      matcher = CausalPhrase(self.nlp, entID=self.entId, causalKeywordID=self.causalID)
     elif method == 'osl':
       matcher = OperatorShiftLogs(self.nlp, entID=self.entId, causalKeywordID=self.causalID)
     else: