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initial commit of simple data capture script and data viewing script

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tony 2025-01-11 09:55:01 -07:00
parent 3396d052d7
commit 0cf405a5e1
3 changed files with 68 additions and 0 deletions
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2
.gitignore vendored
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*.pkl
*.csv
# ---> Python
# Byte-compiled / optimized / DLL files
__pycache__/

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data-view.py Normal file
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import pandas as pd
from datetime import datetime
data_dict = pd.read_pickle("saved_data_dict.pkl")
data_df = pd.DataFrame(data_dict)
data_df.T.to_csv("data_df.csv")

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data.py Normal file
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import requests
import ast
from datetime import datetime
from time import sleep
import pickle
data_url = "http://192.168.1.221/get_livedata_info"
data_response = requests.get(data_url)
data_dict = ast.literal_eval(data_response.content.decode('utf-8'))
den_dict = data_dict['wh25'][0]
outdoor_dict = data_dict['ch_aisle'][0]
lroom_dict = data_dict['ch_aisle'][1]
roffice_dict = data_dict['ch_aisle'][2]
toffice_dict = data_dict['ch_aisle'][3]
broom_dict = data_dict['ch_aisle'][4]
lightning_dict = data_dict['lightning'][0]
# print(den_dict.keys())
# print(outdoor_dict.keys())
# print(lroom_dict.keys())
# print(roffice_dict.keys())
# print(toffice_dict.keys())
# print(broom_dict.keys())
# print(lightning_dict.keys())
try:
with open('saved_data_dict.pkl', 'rb') as f:
data_dict = pickle.load(f)
except:
data_dict = {}
datum_dict = {}
datum_dict['den_temp'] = den_dict['intemp']
datum_dict['den_humi'] = den_dict['inhumi']
datum_dict['den_pabs'] = den_dict['abs']
datum_dict['den_prel'] = den_dict['rel']
datum_dict['lroom_temp'] = lroom_dict['temp']
datum_dict['lroom_humi'] = lroom_dict['humidity']
datum_dict['lroom_batt'] = lroom_dict['battery']
datum_dict['roffice_temp'] = roffice_dict['temp']
datum_dict['roffice_humi'] = roffice_dict['humidity']
datum_dict['roffice_batt'] = roffice_dict['battery']
datum_dict['toffice_temp'] = toffice_dict['temp']
datum_dict['toffice_humi'] = toffice_dict['humidity']
datum_dict['toffice_batt'] = toffice_dict['battery']
datum_dict['broom_temp'] = broom_dict['temp']
datum_dict['broom_humi'] = broom_dict['humidity']
datum_dict['broom_batt'] = broom_dict['battery']
datum_dict['outdoor_temp'] = outdoor_dict['temp']
datum_dict['outdoor_humi'] = outdoor_dict['humidity']
datum_dict['outdoor_batt'] = outdoor_dict['battery']
datum_dict['lghtng_dist'] = lightning_dict['distance']
datum_dict['lghtng_date'] = lightning_dict['date']
datum_dict['lghtng_time'] = lightning_dict['timestamp']
datum_dict['lghtng_scnt'] = lightning_dict['count']
datum_dict['lghtng_batt'] = lightning_dict['battery']
data_dict[datetime.now().strftime('%Y%m%d-%H%M%S')] = datum_dict
with open('saved_data_dict.pkl', 'wb') as f:
pickle.dump(data_dict, f)