Implemented upload
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@ -1,21 +1,100 @@
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#!/usr/bin/env python3
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import tempfile
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import os
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from flask import request, jsonify, current_app, abort, Response
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from flask_classful import FlaskView, route
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from model import db, Default, AIModel
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from minio.error import BucketAlreadyExists, BucketAlreadyOwnedByYou, ResponseError, NoSuchKey
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from schemas import AIModelSchema, DefaultSchema
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from schemas import AIModelSchema, DefaultSchema, InfoSchema
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from marshmallow.exceptions import ValidationError
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from utils import json_required, storage
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from pyAudioAnalysis.audioTrainTest import load_model, load_model_knn
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class ModelView(FlaskView):
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aimodel_schema = AIModelSchema(many=False)
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default_schema = DefaultSchema(many=False)
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info_schema = InfoSchema(many=False)
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def _ensure_buckets(self):
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for bucket_name in [current_app.config['MINIO_MEANS_BUCKET_NAME'],
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current_app.config['MINIO_MODEL_BUCKET_NAME']]:
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try:
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storage.connection.make_bucket(bucket_name)
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except BucketAlreadyOwnedByYou as err:
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pass
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except BucketAlreadyExists as err:
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pass
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# Everything else should be raised
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@json_required
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def post(self):
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return jsonify({})
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# get important data from the request
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try:
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info = self.info_schema.loads(request.form.get('info'))
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except ValidationError as e:
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abort(400, str(e))
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# check for conflict
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m = AIModel.query.filter_by(id=info['id']).first()
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if m:
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abort(409)
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# get and validate file
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model_file = request.files['modelFile']
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if model_file.content_length <= 0:
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abort(411, f"Content length for modelFile is not a positive integer or missing.")
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means_file = request.files['meansFile']
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if means_file.content_length <= 0:
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abort(411, f"Content length for meansFile is not a positive integer or missing.")
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# create bucket if necessary
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self._ensure_buckets()
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# Temporarily save the file, because pyAudioAnalysis can only read files
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_, temp_model_filename = tempfile.mkstemp()
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temp_means_filename = temp_model_filename + "MEANS"
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model_file.save(temp_model_filename)
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means_file.save(temp_means_filename)
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try:
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if info['type'] == 'knn':
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_, _, _, _, mid_window, mid_step, short_window, short_step, compute_beat \
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= load_model_knn(temp_model_filename)
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else:
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_, _, _, _, mid_window, mid_step, short_window, short_step, compute_beat \
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= load_model(temp_model_filename)
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# Because of pyAudiomeme the files already saved, so we just use the file uploader functions
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storage.connection.fput_object(
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current_app.config['MINIO_MODEL_BUCKET_NAME'],
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str(info['id']),
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temp_model_filename
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)
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storage.connection.fput_object(
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current_app.config['MINIO_MEANS_BUCKET_NAME'],
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str(info['id']),
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temp_means_filename
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)
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finally:
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os.remove(temp_model_filename)
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os.remove(temp_means_filename)
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m = AIModel(mid_window=mid_window, mid_step=mid_step, short_window=short_window, short_step=short_step,
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compute_beat=compute_beat, type=info['type'])
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db.session.add(m)
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db.session.commit()
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return jsonify(self.aimodel_schema.dump(m)), 200
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def get(self, _id: str):
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@ -26,7 +105,7 @@ class ModelView(FlaskView):
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m = AIModel.query.fiter_by(id=_id).first_or_404()
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try:
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data = storage.connection.get_object(current_app.config['MINIO_BUCKET_NAME'], m.id)
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data = storage.connection.get_object(current_app.config['MINIO_BUCKET_NAME'], str(m.id))
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except NoSuchKey:
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abort(500, "The ID is stored in the database but not int the Object Store")
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@ -70,4 +149,4 @@ class ModelView(FlaskView):
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db.session.add(new_default)
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db.session.commit()
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return jsonify(self.aimodel_schema.dump(m))
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return '', 204
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