diff --git a/archiv/example_kpi.h5 b/archiv/example_kpi.h5
deleted file mode 100644
index 0d2f9cee7b7e3eae62fc1ab9621b9155b2f023f6..0000000000000000000000000000000000000000
Binary files a/archiv/example_kpi.h5 and /dev/null differ
diff --git a/archiv/test_data.json b/archiv/test_data.json
deleted file mode 100644
index 26f8580ad7b7e58bb260b059f9b854140630bcc0..0000000000000000000000000000000000000000
--- a/archiv/test_data.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
- "Pumps":[
- {"Name": "Pump_1",
- "Manufacturer": "Company A",
- "Unit": "Percentage",
- "Efficiency": 43},
- {"Name": "Pump_2",
- "Manufacturer": "Company B",
- "Unit": "Percentage",
- "Efficiency": 56
- }
- ],
- "Motors":[
- {"Name": "Motor_1",
- "Manufacturer": "Company A",
- "Unit": "Percentage",
- "Efficiency": 90},
- {"Name": "Motor_2",
- "Manufacturer": "Company B",
- "Unit": "Percentage",
- "Efficiency": 85
- }
- ]
-}
\ No newline at end of file
diff --git a/archiv/trial_json.py b/archiv/trial_json.py
deleted file mode 100644
index 7950d4a50120169d3897521b956682448c33dd7d..0000000000000000000000000000000000000000
--- a/archiv/trial_json.py
+++ /dev/null
@@ -1,165 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Thu May 5 17:27:38 2022 .
-
-@author: Richter
-
-testfile for operating with json-files
-
-"""
-# %% import moduls
-import json
-# import numpy as np
-import pandas as pd
-# import h5py as h5
-
-# %% define functions
-
-
-def findkeys(node, kv):
- """
- https://stackoverflow.com/questions/9807634/find-all-occurrences-of-a-key-in-nested-dictionaries-and-lists.
-
- Parameters
- ----------
- node : TYPE
- DESCRIPTION.
- kv : TYPE
- DESCRIPTION.
-
- Yields
- ------
- TYPE
- DESCRIPTION.
-
- """
- if isinstance(node, list):
- for i in node:
- for x in findkeys(i, kv):
- yield x
- elif isinstance(node, dict):
- if kv in node:
- yield node[kv]
- for j in node.values():
- for x in findkeys(j, kv):
- yield x
-
-
-def find_attribut(data, attribut):
- """
- Find attribute of .
-
- ----------
- data : TYPE
- DESCRIPTION.
- attribut : TYPE
- DESCRIPTION.
-
- Returns
- -------
- name_pump : TYPE
- DESCRIPTION.
- efficiency_pump : TYPE
- DESCRIPTION.
-
- """
- name_pump = list(findkeys(data, "Name"))
- efficiency_pump = list(findkeys(data, attribut))
- # print("Die Pumpe", name_pump[0], "besitzt den Wirkungsgrad",
- # efficiency_pump[0])
- return name_pump, efficiency_pump
-
-
-def calculate_efficiency(eta_1, eta_2):
- """
-
- Parameters.
-
- ----------
- eta_1 : TYPE
- DESCRIPTION.
- eta_2 : TYPE
- DESCRIPTION.
-
- Returns
-
- -------
- eta : TYPE
- DESCRIPTION.
-
- """
- eta = eta_1 * eta_2
- return eta
-
-# %% main script
-
-
-with open("test_data.json", "r+") as file:
- data = json.load(file)
-
-
-a = data.keys()
-# print(a)
-
-# read out key - value - pairs
-for i in a:
- key = data[i]
- for j in range(0, len(key)):
- # print(j)
- dic = key[j]
- attrs = list(dic.keys())
- for x in attrs:
- name = list(findkeys(dic, x))
- # print("Maschinenart", i, "Das Attribut",x, "hat den Wert", name)
-
-# find specific data
-machine = "Motors"
-attribut = "Efficiency"
-data_pumps = data["Pumps"]
-data_motors = data["Motors"]
-dataset = pd.DataFrame()
-# pump_1 = data_pumps[0]
-# Iteration über Attribute einfügen
-
-for i in range(0, len(data_pumps)):
- attr_name = list(findkeys(data_pumps[i], "Name"))
- attr_value = list(findkeys(data_pumps[i], attribut))
- # attr_name, attr_value = find_attribut(data_pumps[i], attribut)
- # efficiency_pump)
- print("Die", machine, attr_name[0], "besitzt das Attribut",
- attribut, "mit dem Wert", attr_value[0])
-
-
-# multiplicate the pump efficiency with the motor efficiency
-
-eta_motor_1 = list(findkeys(data["Motors"][0], "Efficiency"))[0]
-eta_motor_2 = list(findkeys(data["Motors"][1], "Efficiency"))[0]
-eta_pumpe_1 = list(findkeys(data["Pumps"][0], "Efficiency"))[0]
-eta_pumpe_2 = list(findkeys(data["Pumps"][1], "Efficiency"))[0]
-
-print(eta_motor_1, eta_motor_2)
-
-
-count = 0
-# iteration over all pumps and motors
-for p in range(0, len(data_pumps)):
- for m in range(0, len(data_motors)):
- eta_pumpe = list(findkeys(data_pumps[p], attribut))[0]/100
- eta_motor = list(findkeys(data_motors[m], attribut))[0]/100
- eta_ges = calculate_efficiency(eta_pumpe, eta_motor)
- scenario = "Szenario_" + str(count)
- dataset[scenario] = [eta_pumpe, eta_motor, eta_ges]
- dataset.index = ["eta_pumpe", "eta_motor", "eta_ges"]
- count += 1
- print(p, m, eta_ges)
-
-
-# %% store dataframe in hdf5-file
-filename = "example_kpi.h5"
-with pd.HDFStore(filename, "a") as hdf:
- try:
- dataset.to_hdf(hdf, "Berechnung")
- hdf.get_storer("Berechnung").attrs.Link = ("https://git.rwth-aachen.de/"
- "fst-tuda/projects/lehre/praktikum_digitalisierung/quality-kpi.git")
- except ValueError:
- print("Gruppe existiert bereits.")
diff --git a/example_kpi.h5 b/example_kpi.h5
deleted file mode 100644
index b89acd4d4a1b2b91706c3b3135a7a47d363c985c..0000000000000000000000000000000000000000
Binary files a/example_kpi.h5 and /dev/null differ
diff --git a/test_data.json b/test_data.json
deleted file mode 100644
index 26f8580ad7b7e58bb260b059f9b854140630bcc0..0000000000000000000000000000000000000000
--- a/test_data.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
- "Pumps":[
- {"Name": "Pump_1",
- "Manufacturer": "Company A",
- "Unit": "Percentage",
- "Efficiency": 43},
- {"Name": "Pump_2",
- "Manufacturer": "Company B",
- "Unit": "Percentage",
- "Efficiency": 56
- }
- ],
- "Motors":[
- {"Name": "Motor_1",
- "Manufacturer": "Company A",
- "Unit": "Percentage",
- "Efficiency": 90},
- {"Name": "Motor_2",
- "Manufacturer": "Company B",
- "Unit": "Percentage",
- "Efficiency": 85
- }
- ]
-}
\ No newline at end of file
diff --git a/trial_json.py b/trial_json.py
deleted file mode 100644
index 7950d4a50120169d3897521b956682448c33dd7d..0000000000000000000000000000000000000000
--- a/trial_json.py
+++ /dev/null
@@ -1,165 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Thu May 5 17:27:38 2022 .
-
-@author: Richter
-
-testfile for operating with json-files
-
-"""
-# %% import moduls
-import json
-# import numpy as np
-import pandas as pd
-# import h5py as h5
-
-# %% define functions
-
-
-def findkeys(node, kv):
- """
- https://stackoverflow.com/questions/9807634/find-all-occurrences-of-a-key-in-nested-dictionaries-and-lists.
-
- Parameters
- ----------
- node : TYPE
- DESCRIPTION.
- kv : TYPE
- DESCRIPTION.
-
- Yields
- ------
- TYPE
- DESCRIPTION.
-
- """
- if isinstance(node, list):
- for i in node:
- for x in findkeys(i, kv):
- yield x
- elif isinstance(node, dict):
- if kv in node:
- yield node[kv]
- for j in node.values():
- for x in findkeys(j, kv):
- yield x
-
-
-def find_attribut(data, attribut):
- """
- Find attribute of .
-
- ----------
- data : TYPE
- DESCRIPTION.
- attribut : TYPE
- DESCRIPTION.
-
- Returns
- -------
- name_pump : TYPE
- DESCRIPTION.
- efficiency_pump : TYPE
- DESCRIPTION.
-
- """
- name_pump = list(findkeys(data, "Name"))
- efficiency_pump = list(findkeys(data, attribut))
- # print("Die Pumpe", name_pump[0], "besitzt den Wirkungsgrad",
- # efficiency_pump[0])
- return name_pump, efficiency_pump
-
-
-def calculate_efficiency(eta_1, eta_2):
- """
-
- Parameters.
-
- ----------
- eta_1 : TYPE
- DESCRIPTION.
- eta_2 : TYPE
- DESCRIPTION.
-
- Returns
-
- -------
- eta : TYPE
- DESCRIPTION.
-
- """
- eta = eta_1 * eta_2
- return eta
-
-# %% main script
-
-
-with open("test_data.json", "r+") as file:
- data = json.load(file)
-
-
-a = data.keys()
-# print(a)
-
-# read out key - value - pairs
-for i in a:
- key = data[i]
- for j in range(0, len(key)):
- # print(j)
- dic = key[j]
- attrs = list(dic.keys())
- for x in attrs:
- name = list(findkeys(dic, x))
- # print("Maschinenart", i, "Das Attribut",x, "hat den Wert", name)
-
-# find specific data
-machine = "Motors"
-attribut = "Efficiency"
-data_pumps = data["Pumps"]
-data_motors = data["Motors"]
-dataset = pd.DataFrame()
-# pump_1 = data_pumps[0]
-# Iteration über Attribute einfügen
-
-for i in range(0, len(data_pumps)):
- attr_name = list(findkeys(data_pumps[i], "Name"))
- attr_value = list(findkeys(data_pumps[i], attribut))
- # attr_name, attr_value = find_attribut(data_pumps[i], attribut)
- # efficiency_pump)
- print("Die", machine, attr_name[0], "besitzt das Attribut",
- attribut, "mit dem Wert", attr_value[0])
-
-
-# multiplicate the pump efficiency with the motor efficiency
-
-eta_motor_1 = list(findkeys(data["Motors"][0], "Efficiency"))[0]
-eta_motor_2 = list(findkeys(data["Motors"][1], "Efficiency"))[0]
-eta_pumpe_1 = list(findkeys(data["Pumps"][0], "Efficiency"))[0]
-eta_pumpe_2 = list(findkeys(data["Pumps"][1], "Efficiency"))[0]
-
-print(eta_motor_1, eta_motor_2)
-
-
-count = 0
-# iteration over all pumps and motors
-for p in range(0, len(data_pumps)):
- for m in range(0, len(data_motors)):
- eta_pumpe = list(findkeys(data_pumps[p], attribut))[0]/100
- eta_motor = list(findkeys(data_motors[m], attribut))[0]/100
- eta_ges = calculate_efficiency(eta_pumpe, eta_motor)
- scenario = "Szenario_" + str(count)
- dataset[scenario] = [eta_pumpe, eta_motor, eta_ges]
- dataset.index = ["eta_pumpe", "eta_motor", "eta_ges"]
- count += 1
- print(p, m, eta_ges)
-
-
-# %% store dataframe in hdf5-file
-filename = "example_kpi.h5"
-with pd.HDFStore(filename, "a") as hdf:
- try:
- dataset.to_hdf(hdf, "Berechnung")
- hdf.get_storer("Berechnung").attrs.Link = ("https://git.rwth-aachen.de/"
- "fst-tuda/projects/lehre/praktikum_digitalisierung/quality-kpi.git")
- except ValueError:
- print("Gruppe existiert bereits.")