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Fix the pandas errors. Add uuid_event,uuid_obs functions from mapper #1

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Fix the pandas errors. Add uuid_event,uuid_obs functions from mapper #1

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Fix the pandas errors. Add uuid_event,uuid_obs functions from mapper
Mar 27, 2024
eeef686
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Apr 9, 2024
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24 changes: 20 additions & 4 deletions DAHCC/create_graph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
from glob import glob
import datetime
import numpy as np
from mapper import map_value, generate_event_uuid, generate_obs_uuid
from typing import Tuple
from tqdm import tqdm

##################
Expand Down Expand Up @@ -55,6 +55,22 @@ def generate_wearable_uuid(wearable, part):
uuid_wearable_map[part][wearable] += 1
return 'https://dahcc.idlab.ugent.be/Protego/'+part+'/'+wearable+'/state'+str(result)

uuid_event_map = {}
def generate_event_uuid(part :str)-> Tuple[str, str]:
if part not in uuid_event_map:
uuid_event_map[part] = 0
result = uuid_event_map[part]
uuid_event_map[part] += 1
return 'https://dahcc.idlab.ugent.be/Protego/'+part+'/state'+str(uuid_event_map[part]), 'https://dahcc.idlab.ugent.be/Protego/'+part+'/state'+str(result)

uuid_obs_map = {}
def generate_obs_uuid(part:str) -> str:
if part not in uuid_obs_map:
uuid_obs_map[part] = 0
result = uuid_obs_map[part]
uuid_obs_map[part] += 1
return 'https://dahcc.idlab.ugent.be/Protego/'+part+'/state'+str(result)

aqura_conv = {'Badkamer zorgkamer': 'careroom',
'Zorgkamer': 'careroom',
'Hall beneden schuifdeur': 'mainhall',
Expand Down Expand Up @@ -189,7 +205,7 @@ def map_value(value, metric_id):

def create_event(ff, part, time, begin_event, preds):
ff = ff[ff.Sensor != "velbus.B8.EnergyMeter3"]
ff['Metric'] = ff['Metric'].replace(['org.dyamand.aqura.AquraLocationState_Protego User'],'org.dyamand.aqura.AquraLocationState_Protego_User')
ff = ff.replace({'Metric':{'org.dyamand.aqura.AquraLocationState_Protego User':'org.dyamand.aqura.AquraLocationState_Protego_User'}})
activities = set()
for sublist in ff.label.values:
for item in sublist:
Expand Down Expand Up @@ -418,15 +434,15 @@ def create_event(ff, part, time, begin_event, preds):
gr_df = df.groupby(['Sensor', 'Metric']).resample("30s")['Value'].apply(combine).ffill().reset_index()
gr_df = gr_df[gr_df["Metric"].str.contains("mqtt") == False]

gr_df = gr_df.set_index('Timestamp')
gr_df = gr_df.set_index('Timestamp').sort_index()
gr_df['label'] = [set() for i in range(len(gr_df))]
gr_df['routine'] = [set() for i in range(len(gr_df))]
for i, row in lf.iterrows():
gr_df.loc[str(row.start_time):str(row.end_time), 'label'].apply(lambda x: x.add(row.ontology_label))
gr_df.loc[str(row.start_time):str(row.end_time), 'routine'].apply(lambda x: x.add(row.ontology_routine))

gr_df.label = gr_df.label.apply(lambda x: x if len(x) > 0 else ['Unknown'])
gr_df.ontology_routine = gr_df.routine.apply(lambda x: x if len(x) > 0 else ['Unknown'])
gr_df['ontology_routine'] = gr_df.routine.apply(lambda x: x if len(x) > 0 else ['Unknown'])
gr_df = gr_df.dropna()

gr_df = gr_df.sort_index()
Expand Down