Added ability to store CNN models

model_service/views/__init__.py

@@ -1,2 +1,3 @@
 #!/usr/bin/env python3
-from .model_view import ModelView
+from .svm_view import SVMView
+from .cnn_view import CNNView

model_service/views/cnn_view.py

@@ -0,0 +1,128 @@
+#!/usr/bin/env python3
+from flask import request, jsonify, current_app, abort, Response
+from flask_classful import FlaskView, route
+from model import db, Default, AIModel, AIModelType
+from minio.error import NoSuchKey
+from schemas import AIModelSchema, DefaultSchema, InfoSchema
+from marshmallow.exceptions import ValidationError
+from utils import json_required, storage, ensure_buckets
+
+
+class CNNView(FlaskView):
+    aimodel_schema = AIModelSchema(many=False)
+    aimodels_schema = AIModelSchema(many=True, exclude=['timestamp', 'details'])
+    default_schema = DefaultSchema(many=False)
+    info_schema = InfoSchema(many=False)
+
+    def index(self):
+        models = AIModel.query.filter_by(type=AIModelType.CNN).all()
+        return jsonify(self.aimodels_schema.dump(models)), 200
+
+    def post(self):
+
+        # get important data from the request
+        try:
+            info = self.info_schema.loads(request.form.get('info'))
+        except ValidationError as e:
+            abort(400, str(e))
+
+        # check for conflict
+        m = AIModel.query.filter_by(id=info['id']).first()
+        if m:
+            abort(409)
+
+        # get and validate file
+        model_file = request.files['modelFile']
+
+        if model_file.content_length <= 0:
+            abort(411, f"Content length for modelFile is not a positive integer or missing.")
+
+        weights_file = request.files['weightsFile']
+
+        if weights_file.content_length <= 0:
+            abort(411, f"Content length for weightsFile is not a positive integer or missing.")
+
+        # create bucket if necessary
+        ensure_buckets()
+
+        # Put files into MinIO
+        storage.connection.put_object(current_app.config['MINIO_CNN_BUCKET_NAME'], "model/" + str(m.id), model_file,
+                                      model_file.content_length, content_type=model_file.content_type)
+
+        storage.connection.put_object(current_app.config['MINIO_CNN_BUCKET_NAME'], "weights/" + str(m.id), weights_file,
+                                      weights_file.content_length, content_type=weights_file.content_type)
+
+        m = AIModel(id=info['id'], type=AIModelType.CNN)
+
+        db.session.add(m)
+        db.session.commit()
+
+        return jsonify(self.aimodel_schema.dump(m)), 200
+
+    def get(self, _id: str):
+
+        if _id == "$default":
+            # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            default = Default.query.filter_by(type=AIModelType.CNN).first_or_404()
+            m = default.aimodel
+        else:
+            m = AIModel.query.filter_by(type=AIModelType.CNN, id=_id).first_or_404()
+
+        if "weights" in request.args:
+            path = "weights/" + str(m.id)
+        else:
+            path = "model/" + str(m.id)
+
+        try:
+            data = storage.connection.get_object(current_app.config['MINIO_CNN_BUCKET_NAME'], path)
+        except NoSuchKey:
+            abort(500, "The ID is stored in the database but not int the Object Store")
+
+        return Response(data.stream(), mimetype=data.headers['Content-type'])
+
+    @route('<_id>/details')
+    def get_details(self, _id: str):
+
+        if _id == "$default":
+            # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            default = Default.query.filter_by(type=AIModelType.CNN).first_or_404()
+            m = default.aimodel
+        else:
+            m = AIModel.query.filter_by(type=AIModelType.CNN, id=_id).first_or_404()
+
+        return jsonify(self.aimodel_schema.dump(m))
+
+    def delete(self, _id: str):
+
+        if _id == "$default":
+            # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            default = Default.query.filter_by(type=AIModelType.CNN).first_or_404()
+            m = default.aimodel
+        else:
+            m = AIModel.query.filter_by(type=AIModelType.CNN, id=_id).first_or_404()
+
+        storage.connection.remove_object(current_app.config['MINIO_CNN_BUCKET_NAME'], "weights/" + str(m.id))
+        storage.connection.remove_object(current_app.config['MINIO_CNN_BUCKET_NAME'], "model/" + str(m.id))
+
+        db.session.delete(m)
+        db.session.commit()
+
+        return '', 204
+
+    @json_required
+    @route('$default', methods=['PUT'])
+    def put_default(self):
+
+        try:
+            req = self.default_schema.load(request.json)
+        except ValidationError as e:
+            abort(400, str(e))
+
+        m = AIModel.query.filter_by(type=AIModelType.CNN, id=req['id']).first_or_404()
+
+        Default.query.filter_by(type=AIModelType.CNN).delete()
+        new_default = Default(type=AIModelType.CNN, aimodel=m)
+        db.session.add(new_default)
+        db.session.commit()
+
+        return '', 204

model_service/views/svm_view.py

@@ -3,36 +3,22 @@ import tempfile
 import os
 from flask import request, jsonify, current_app, abort, Response
 from flask_classful import FlaskView, route
-from model import db, Default, AIModel
-from minio.error import BucketAlreadyExists, BucketAlreadyOwnedByYou, ResponseError, NoSuchKey
+from model import db, Default, AIModel, AIModelType, SVMDetails
+from minio.error import NoSuchKey
 from schemas import AIModelSchema, DefaultSchema, InfoSchema
 from marshmallow.exceptions import ValidationError
-from utils import json_required, storage
+from utils import json_required, storage, ensure_buckets
 from pyAudioAnalysis.audioTrainTest import load_model, load_model_knn
 
 
-class ModelView(FlaskView):
+class SVMView(FlaskView):
     aimodel_schema = AIModelSchema(many=False)
-    aimodels_schema = AIModelSchema(many=True,
-                                    exclude=['timestamp', 'mid_window', 'mid_step', 'short_window', 'short_step',
-                                             'compute_beat'])
+    aimodels_schema = AIModelSchema(many=True, exclude=['timestamp', 'details'])
     default_schema = DefaultSchema(many=False)
     info_schema = InfoSchema(many=False)
 
-    def _ensure_buckets(self):
-        for bucket_name in [current_app.config['MINIO_MEANS_BUCKET_NAME'],
-                            current_app.config['MINIO_MODEL_BUCKET_NAME']]:
-            try:
-                storage.connection.make_bucket(bucket_name)
-
-            except BucketAlreadyOwnedByYou as err:
-                pass
-            except BucketAlreadyExists as err:
-                pass
-                # Everything else should be raised
-
     def index(self):
-        models = AIModel.query.all()
+        models = AIModel.query.filter_by(type=AIModelType.SVM).all()
         return jsonify(self.aimodels_schema.dump(models)), 200
 
     def post(self):
@@ -60,7 +46,7 @@ class ModelView(FlaskView):
             abort(411, f"Content length for meansFile is not a positive integer or missing.")
 
         # create bucket if necessary
-        self._ensure_buckets()
+        ensure_buckets()
 
         # Temporarily save the file, because pyAudioAnalysis can only read files
         _, temp_model_filename = tempfile.mkstemp()
@@ -71,23 +57,19 @@ class ModelView(FlaskView):
 
         try:
 
-            if info['type'] == 'knn':
-                _, _, _, _, mid_window, mid_step, short_window, short_step, compute_beat \
-                    = load_model_knn(temp_model_filename)
-            else:
-                _, _, _, _, mid_window, mid_step, short_window, short_step, compute_beat \
-                    = load_model(temp_model_filename)
+            _, _, _, _, mid_window, mid_step, short_window, short_step, compute_beat \
+                = load_model(temp_model_filename)
 
             # Because of pyAudiomeme the files already saved, so we just use the file uploader functions
             storage.connection.fput_object(
-                current_app.config['MINIO_MODEL_BUCKET_NAME'],
-                str(info['id']),
+                current_app.config['MINIO_SVM_BUCKET_NAME'],
+                "model/" + str(info['id']),
                 temp_model_filename
             )
 
             storage.connection.fput_object(
-                current_app.config['MINIO_MEANS_BUCKET_NAME'],
-                str(info['id']),
+                current_app.config['MINIO_SVM_BUCKET_NAME'],
+                "means/" + str(info['id']),
                 temp_means_filename
             )
 
@@ -95,10 +77,19 @@ class ModelView(FlaskView):
             os.remove(temp_model_filename)
             os.remove(temp_means_filename)
 
-        m = AIModel(id=info['id'], mid_window=mid_window, mid_step=mid_step, short_window=short_window,
-                    short_step=short_step, compute_beat=compute_beat, type=info['type'])
+        m = AIModel(id=info['id'], type=AIModelType.SVM)
+
+        d = SVMDetails(
+            aimodel=m,
+            mid_window=mid_window,
+            mid_step=mid_step,
+            short_window=short_window,
+            short_step=short_step,
+            compute_beat=compute_beat
+        )
 
         db.session.add(m)
+        db.session.add(d)
         db.session.commit()
 
         return jsonify(self.aimodel_schema.dump(m)), 200
@@ -106,18 +97,19 @@ class ModelView(FlaskView):
     def get(self, _id: str):
 
         if _id == "$default":
-            default = Default.query.first_or_404()  # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            default = Default.query.filter_by(type=AIModelType.SVM).first_or_404()
             m = default.aimodel
         else:
-            m = AIModel.query.filter_by(id=_id).first_or_404()
+            m = AIModel.query.filter_by(type=AIModelType.SVM, id=_id).first_or_404()
 
         if "means" in request.args:
-            bucket = current_app.config['MINIO_MEANS_BUCKET_NAME']
+            path = "means/" + str(m.id)
         else:
-            bucket = current_app.config['MINIO_MODEL_BUCKET_NAME']
+            path = "model/" + str(m.id)
 
         try:
-            data = storage.connection.get_object(bucket, str(m.id))
+            data = storage.connection.get_object(current_app.config['MINIO_SVM_BUCKET_NAME'], path)
         except NoSuchKey:
             abort(500, "The ID is stored in the database but not int the Object Store")
 
@@ -127,23 +119,25 @@ class ModelView(FlaskView):
     def get_details(self, _id: str):
 
         if _id == "$default":
-            default = Default.query.first_or_404()  # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            default = Default.query.filter_by(type=AIModelType.SVM).first_or_404()
             m = default.aimodel
         else:
-            m = AIModel.query.filter_by(id=_id).first_or_404()
+            m = AIModel.query.filter_by(type=AIModelType.SVM, id=_id).first_or_404()
 
         return jsonify(self.aimodel_schema.dump(m))
 
     def delete(self, _id: str):
 
-        if _id == '$default':
-            default = Default.query.first_or_404()
+        if _id == "$default":
+            # TODO: Kitalálni, hogy inkább a latestestest-el térjen-e vissza
+            default = Default.query.filter_by(type=AIModelType.SVM).first_or_404()
             m = default.aimodel
         else:
-            m = AIModel.query.filter_by(id=_id).first_or_404()
+            m = AIModel.query.filter_by(type=AIModelType.SVM, id=_id).first_or_404()
 
-        storage.connection.remove_object(current_app.config['MINIO_MODEL_BUCKET_NAME'], str(m.id))
-        storage.connection.remove_object(current_app.config['MINIO_MEANS_BUCKET_NAME'], str(m.id))
+        storage.connection.remove_object(current_app.config['MINIO_SVM_BUCKET_NAME'], "means/" + str(m.id))
+        storage.connection.remove_object(current_app.config['MINIO_SVM_BUCKET_NAME'], "model/" + str(m.id))
 
         db.session.delete(m)
         db.session.commit()
@@ -157,12 +151,12 @@ class ModelView(FlaskView):
         try:
             req = self.default_schema.load(request.json)
         except ValidationError as e:
-            abort(404, str(e))
+            abort(400, str(e))
 
-        m = AIModel.query.filter_by(id=req['id']).first_or_404()
+        m = AIModel.query.filter_by(type=AIModelType.SVM, id=req['id']).first_or_404()
 
-        Default.query.delete()
-        new_default = Default(aimodel=m)
+        Default.query.filter_by(type=AIModelType.SVM).delete()
+        new_default = Default(type=AIModelType.SVM, aimodel=m)
         db.session.add(new_default)
         db.session.commit()