add scholarly green flags

source_eval_model.py

@@ -223,36 +223,30 @@ def eval_scholarly_sources(citation):
         the citation dictionary, which has format {"external_link": str, "type": str, "html_tag": HTMLElement, "publisher": str | None, "date": datetime |None}
     Output:
         the tag for citation (red, green, yellow, unknown)
-    """    
-
+    """
     # read the dictionaries of flags from the json file
     with open("scholarly_flags.json", "r") as f:
         all_flags = json.load(f)
 
-    found_tag = False
     # Check on the domain of external link
     if citation["external_link"]:
         domain = tldextract.extract(citation["external_link"]).domain
         if domain in all_flags["red_scholarly_reverse"]:
-            found_tag = True
-            # print("The citation is", citation, "which matches the red list item", red_flags_reverse[domain])
             return "red"
         elif domain in all_flags["yellow_scholarly_reverse"]:
-            # print("The citation is ", citation, "which matches the yellow list item ", yellow_flags_reverse[domain])
             return "yellow"
+        elif domain in all_flags["green_scholarly_reverse"]:
+            return "green"
+        
     #check on the name dictionary
-    if not found_tag:
         if citation["publisher"] in all_flags["red_scholarly"]:
-            found_tag = True
-            # print("The citation is ", citation, "which matches the red list item", citation["publisher"])
             return "red"
         elif citation["publisher"] in all_flags["yellow_scholarly"]:
-            found_tag = True
-            # print("The citation is ", citation, "which matches the yellow list item", citation["publisher"])
             return "yellow"
+        elif citation["publisher"] in all_flags["green_scholarly"]:
+            return "green"
 
-    if not found_tag:
-        return "unknown"
+    return "unknown"
 
 
 def eval_non_scholarly_sources(citation, citation_val):