fixed imports

.gitea/workflows/default.yaml

@@ -21,7 +21,7 @@ jobs:
           poetry install
       - name: PEP8 Check
         run: |
-          poetry run flake8 ./src --benchmark
+          poetry run flake8 . --benchmark
       - name: Type Check
         run: |
-          poetry run mypy ./src --disable-error-code=import-untyped
+          poetry run mypy . --disable-error-code=import-untyped

image_download/get_images.py

@@ -6,10 +6,9 @@ from pathlib import Path
 
 import pandas as pd
 import requests
+from classes import Instagram
 from retry import retry
 
-from image_download.classes import Instagram
-
 
 def get_sources() -> pd.DataFrame:
     """Get sources dateframe."""

tests/model_outputs_from_annotation_test.py

@@ -11,6 +11,9 @@ if __name__ == '__main__':
         in range(3)
     ]
     # generate random predictions
-    [vis_com.generate_random_prediction() for vis_com in vis_com_list]
+    [
+        vis_com.generate_random_prediction()
+        for vis_com in vis_com_list
+    ]  # type: ignore
     for vis_com in vis_com_list:
         print(vis_com)

tests/prediction_upload_test.py

@@ -7,7 +7,7 @@ from pathlib import Path
 from dotenv import load_dotenv
 
 from core.database import connect
-from core.database import upsert_predictions
+from core.database import upsert_prediction
 from core.database.classes import VisualCommunication
 
 if __name__ == '__main__':
@@ -45,7 +45,7 @@ if __name__ == '__main__':
     for vis_com in vis_com_list:
         if vis_com.prediction is None:
             continue
-        upsert_predictions(
+        upsert_prediction(
             collection=collection,
             vis_com_name=vis_com.name,
             predictions=vis_com.prediction,

tests/total_annotated_test.py

@@ -6,7 +6,7 @@ from pathlib import Path
 from dotenv import load_dotenv
 
 from core.database import connect
-from core.database import total_documents
+from core.database import count_documents
 
 if __name__ == '__main__':
     # prepare env vars
@@ -17,7 +17,8 @@ if __name__ == '__main__':
     # connect to database
     collection, db, client = connect()
     # get visual communication
-    num_docs = total_documents(
+    num_docs = count_documents(
         collection=collection,
+        only_with_annotation=True,
     )
     print(f"number of annotated  documents in database: {num_docs}")

tests/total_documents_test.py

@@ -6,7 +6,7 @@ from pathlib import Path
 from dotenv import load_dotenv
 
 from core.database import connect
-from core.database import total_documents
+from core.database import count_documents
 
 if __name__ == '__main__':
     # prepare env vars
@@ -17,7 +17,8 @@ if __name__ == '__main__':
     # connect to database
     collection, db, client = connect()
     # get visual communication
-    num_docs = total_documents(
+    num_docs = count_documents(
         collection=collection,
+        only_with_annotation=False,
     )
     print(f"total number of documents in database: {num_docs}")