Merge pull request #25 from botfront/fix/stories-fingerprint

fix: fix oversensitive story fingerprint

Author: pheel

addons_requirements.txt

@@ -1,4 +1,4 @@
-requests==2.22.0
+requests==2.23.0
 requests_futures==0.9.9
 fuzzy_matcher==0.1.0
 fbmessenger==6.00

rasa/model.py

@@ -290,7 +290,7 @@ async def model_fingerprint(file_importer: "TrainingDataImporter") -> Fingerprin
     # bf mod
     config = await file_importer.get_config()
     domain = await file_importer.get_domain()
-    stories = await file_importer.get_stories()
+    stories_hash = await file_importer.get_stories_hash()
     nlu_data = await file_importer.get_nlu_data()
 
     nlu_config = await file_importer.get_nlu_config()
@@ -311,7 +311,7 @@ async def model_fingerprint(file_importer: "TrainingDataImporter") -> Fingerprin
         FINGERPRINT_NLG_KEY: get_dict_hash(templates),
         FINGERPRINT_NLU_DATA_KEY: {lang: hash(nlu_data[lang])
                                     for lang in nlu_data},
-        FINGERPRINT_STORIES_KEY: hash(stories),
+        FINGERPRINT_STORIES_KEY: stories_hash,
         FINGERPRINT_TRAINED_AT_KEY: time.time(),
         FINGERPRINT_RASA_VERSION_KEY: rasa.__version__,
     }

rasa_addons/core/policies/mapping.py

@@ -111,8 +111,6 @@ def predict_action_probabilities(
 
                 idx = domain.index_for_action(ACTION_LISTEN_NAME)
                 prediction[idx] = 1
-        else:
-            logger.debug("Predicted intent is not handled by BotfrontMappingPolicy.")
         return prediction
 
     def persist(self, path: Text) -> None:

rasa_addons/importers/botfront.py

@@ -73,6 +73,11 @@ async def get_stories(
         )
         return StoryGraph(story_steps)
 
+    async def get_stories_hash(self):
+        # Use a file hash of stories file to figure out Core fingerprint, instead of
+        # storygraph object hash which is unstable
+        return get_file_hash(self._story_files[0])
+
     async def get_nlu_data(self, languages=True) -> Dict[Text, TrainingData]:
         language = None
         if isinstance(languages, str):