processing juvenile salamanders

api/endpoints/matchsalamander.py

@@ -6,6 +6,8 @@ import shutil
 from api import db
 from api.models.dbmodels import Location
 from api.models.dbmodels import Salamander, SalamanderGrowth
+from algorithm.train_src.new_straightening import straighten
+from algorithm.main_src.new_matching import match_file_strcture
 
 APPROVED_SEX = ["male", "female", "juvenile"]
 APPROVED_SPECIES = ["smooth_newt", "northern_crested_newt"]
@@ -28,7 +30,7 @@ class MatchSalamander(Resource):
                 if data['confirmed']:
                     path_to_image_for_match = "./temp_images/" + str(user_id) + "_str.jpeg"
                     path_to_original_image = "./temp_images/" + str(user_id) + ".jpeg"
-                    path_to_images = "images/" + data['location'].lower() + "/" + data['species'] + "/" + data['sex'] + "/"
+                    path_to_images = "./images/" + data['location'].lower() + "/" + data['species'] + "/" + data['sex'] + "/"
                     if data['sex'] != "juvenile":
                         hi = "g"
                         # start processing with AI
@@ -45,16 +47,11 @@ class MatchSalamander(Resource):
                         os.makedirs(path_for_new_salamander)
                         move_and_rename_original(path_for_new_salamander, path_to_original_image)
                         return jsonify({"message": "new juvenile in database", "id": salamander_id[0]})
-                    # if miss:
-                    # create new salamander in DB
-                    # save original image
-                    # save processed image
-                    # output = new salamander with ID something, no match
 
                 else:
-                    return jsonify({"message": "invalid sex or location"})
+                    return jsonify({"message": "image was not accepted by user"})
             else:
-                return jsonify({"message": "invalid sex or location"})
+                return jsonify({"message": "invalid sex, species or location"})
         else:
             return jsonify({"message": "errors in form data"})