src/photools3/cli.py

@@ -69,6 +69,7 @@ def _run_keywords_extraction(file_path: Path) -> Any:
     photo = Photo(file_path)
     return session.call([photo])
 
+
 def _run_qa(file_path: Path) -> Any:
     """Handles the core logic of loading the photo and calling the LLM."""
     session = LlmSessionQuality()

src/photools3/llm_session.py

@@ -138,38 +138,38 @@ class LlmSessionCaptionsAndKeywords(LlmSession):
             model_id=model_id,
         )
 
+
 class LlmSessionQuality(LlmSession):
 
     def __init__(self, temperature: float = settings.llm_default_temperature):
         super().__init__(
-                system_prompt=(
-                    "You are a helpful photographer's assistant that helps to identify "
-                    "photos that can be sorted out due to qulity issues:\n"
-                    "- Your answer is a simple string that must strictly comply with this scheme: "
-                    "'{flag}|{reason}', "
-                    "where {flag} and {reason} are placeholders for possible values "
-                    "that are explained in the following points.\n"
-                    "- {flag} is the general image quality assessment."
-                    "It can have the following values:\n"
-                    "  - `not_ok`: photo lacks basic quality and should almost certainly be deleted.\n"
-                    "  - `review`: photo has some quality issues, not severe but might be deleted.\n"
-                    "  - `ok`: no issues, photo can be kept.\n"
-                    "- {reason} is the reason for the photo being flagged as `not_ok` or `review`. "
-                    "Thus, for any photo that is not `ok`, one or more reasons have to be given. "
-                    "If there is more than one reason, give a comma-separated list: "
-                    "'{flag}|{reason1},{flag}|{reason2},...'. "
-                    "Possible reasons for a lower-than-`ok` assessment are:\n"
-                    "  - `blur`: Obviously mis-focussed or motion-blurred.\n"
-                    "  - `exposure`: severly under- or over-exposed.\n"
-                    "  - `style`: photo has severe style issues (beyond paersonal taste)\n"
-                    ),
-                temperature=temperature
-                )
+            system_prompt=(
+                "You are a helpful photographer's assistant that helps to identify "
+                "photos that can be sorted out due to qulity issues:\n"
+                "- Your answer is a simple string that must strictly comply with this scheme: "
+                "'{flag}|{reason}', "
+                "where {flag} and {reason} are placeholders for possible values "
+                "that are explained in the following points.\n"
+                "- {flag} is the general image quality assessment."
+                "It can have the following values:\n"
+                "  - `not_ok`: photo lacks basic quality and should almost certainly be deleted.\n"
+                "  - `review`: photo has some quality issues, not severe but might be deleted.\n"
+                "  - `ok`: no issues, photo can be kept.\n"
+                "- {reason} is the reason for the photo being flagged as `not_ok` or `review`. "
+                "Thus, for any photo that is not `ok`, one or more reasons have to be given. "
+                "If there is more than one reason, give a comma-separated list: "
+                "'{flag}|{reason1},{flag}|{reason2},...'. "
+                "Possible reasons for a lower-than-`ok` assessment are:\n"
+                "  - `blur`: Obviously mis-focussed or motion-blurred.\n"
+                "  - `exposure`: severly under- or over-exposed.\n"
+                "  - `style`: photo has severe style issues (beyond paersonal taste)\n"
+            ),
+            temperature=temperature,
+        )
 
     def call(self, photos: list[Photo], model_id=None):
         return super().call(
-                prompt="Assess the quality of the following photos to help me decide which ones to sort out",
-                photos=photos,
-                model_id=model_id,
-                )
-        
+            prompt="Assess the quality of the following photos to help me decide which ones to sort out",
+            photos=photos,
+            model_id=model_id,
+        )

src/photools3/models.py

@@ -102,7 +102,7 @@ class LlmResponseCaptionsAndKeywords(BaseModel):
             "A list of keywords that properly tag the photo. "
             "Allowed keywords: "
             + str(load_valid_keywords())
-            .replace("'", "\"")
+            .replace("'", '"')
             .replace("{", "[")
             .replace("}", "]")
         )

test/test_llm_session_mocked.py

@@ -61,7 +61,9 @@ def test_llm_session_captions_and_keywords_mocked(test_photo):
         mock_choice = MagicMock()
         mock_message = MagicMock()
 
-        mock_message.content = '{"caption": "A mocked caption", "tags": ["architektur"]}'
+        mock_message.content = (
+            '{"caption": "A mocked caption", "tags": ["architektur"]}'
+        )
         mock_choice.message = mock_message
         mock_response.choices = [mock_choice]