config paths fixs

analytics/anomaly_model.py

@@ -124,11 +124,11 @@ class AnomalyModel:
         self.preprocessor.synchronize()
 
     def load_anomaly_config(self):
-        with open(os.path.join(config.ANOMALIES_FOLDER, self.anomaly_name + ".json"), 'r') as config_file:
+        with open(os.path.join(config.ANALYTIC_UNITS_FOLDER, self.anomaly_name + ".json"), 'r') as config_file:
             self.anomaly_config = json.load(config_file)
 
     def get_anomalies(self):
-        labeled_anomalies_file = os.path.join(config.ANOMALIES_FOLDER, self.anomaly_name + "_labeled.json")
+        labeled_anomalies_file = os.path.join(config.ANALYTIC_UNITS_FOLDER, self.anomaly_name + "_labeled.json")
         if not os.path.exists(labeled_anomalies_file):
             return []
         with open(labeled_anomalies_file) as file:

analytics/config.py

@@ -2,8 +2,9 @@ import os
 import json
 
 
-DATA_FOLDER = '../data'
-CONFIG_FILE = '../config.json'
+PARENT_FOLDER = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
+DATA_FOLDER = os.path.join(PARENT_FOLDER, 'data')
+CONFIG_FILE = os.path.join(PARENT_FOLDER, 'config.json')
 
 
 config_exists = os.path.isfile(CONFIG_FILE)
@@ -27,10 +28,10 @@ def get_config_field(field, default_val = None):
 
 
 
-DATASET_FOLDER = os.path.join(DATA_FOLDER, 'datasets/')
-ANOMALIES_FOLDER = os.path.join(DATA_FOLDER, 'anomalies/')
-MODELS_FOLDER = os.path.join(DATA_FOLDER, 'models/')
-METRICS_FOLDER = os.path.join(DATA_FOLDER, 'metrics/')
+DATASET_FOLDER = os.path.join(DATA_FOLDER, 'datasets')
+ANALYTIC_UNITS_FOLDER = os.path.join(DATA_FOLDER, 'analytic_units')
+MODELS_FOLDER = os.path.join(DATA_FOLDER, 'models')
+METRICS_FOLDER = os.path.join(DATA_FOLDER, 'metrics')
 
 HASTIC_API_KEY = get_config_field('HASTIC_API_KEY')
 ZEROMQ_CONNECTION_STRING = get_config_field('ZEROMQ_CONNECTION_STRING', 'tcp://*:8002')

analytics/pattern_detection_model.py

@@ -101,7 +101,7 @@ class PatternDetectionModel:
             return StepDetector(pattern)
 
     def __load_anomaly_config(self):
-        with open(os.path.join(config.ANOMALIES_FOLDER, self.analytic_unit_id + ".json"), 'r') as config_file:
+        with open(os.path.join(config.ANALYTIC_UNITS_FOLDER, self.analytic_unit_id + ".json"), 'r') as config_file:
             self.anomaly_config = json.load(config_file)
 
     def __save_model(self):

server/src/config.ts

@@ -11,7 +11,7 @@ export const ANALYTICS_PATH = path.join(__dirname, '../../analytics');
 export const DATA_PATH = path.join(__dirname, '../../data');
 
 export const DATASETS_PATH = path.join(DATA_PATH, 'datasets');
-export const ANALYTIC_UNITS_PATH = path.join(DATA_PATH, 'analytic_units ');
+export const ANALYTIC_UNITS_PATH = path.join(DATA_PATH, 'analytic_units');
 export const MODELS_PATH = path.join(DATA_PATH, 'models');
 export const METRICS_PATH = path.join(DATA_PATH, 'metrics');
 export const SEGMENTS_PATH = path.join(DATA_PATH, 'segments');

server/src/controllers/analytics_controller.ts

@@ -59,6 +59,7 @@ export async function runLearning(id: AnalyticUnit.AnalyticUnitId) {
   }
 }
 
+
 export async function runPredict(id: AnalyticUnit.AnalyticUnitId) {
   let unit = AnalyticUnit.findById(id);
   let pattern = unit.type;