214 lines
11 KiB
Python
Executable File
214 lines
11 KiB
Python
Executable File
#!/usr/bin/env python3
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import sys
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import os
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from mysql.connector import MySQLConnection, Error
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from dbconfig import read_db_config
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from collections import defaultdict
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def insertData(dati):
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print("dati: ",dati)
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if dati != "null" and dati is not None:
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query = "INSERT IGNORE INTO ELABDATANESA(UnitName, ToolNameID, NodeNum, EventTimestamp, dataJSON) " \
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"VALUES(%s,%s,%s,%s,%s)"
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try:
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db_config = read_db_config()
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conn = MySQLConnection(**db_config)
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cursor = conn.cursor()
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cursor.executemany(query, dati)
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conn.commit()
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except Error as e:
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print('Error:', e)
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finally:
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os.system("cd /usr/local/matlab_func/; ./run_Tilt_lnx.sh /usr/local/MATLAB/MATLAB_Runtime/v93/ "+dati[0][0]+" "+dati[0][1]+"")
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cursor.close()
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conn.close()
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def getDataFromCsv(pathFile):
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try:
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db_config = read_db_config()
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conn = MySQLConnection(**db_config)
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cursor = conn.cursor(dictionary=True)
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with open(pathFile, 'r') as file:
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data = file.readlines()
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data = [row.rstrip() for row in data]
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#data.pop(0) #rimuove header
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dati = []
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i = 0
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unit = ""
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tool = ""
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#query = "SELECT tool_id, nodetype_id, nt.type as nodetype_name, num FROM nodes as n join nodetypes as nt on nt.id=n.nodetype_id join tools as t on t.id=n.tool_id join units as u on u.id=t.unit_id where u.name=%s and t.name=%s"
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#cursor.execute(query, [unit, tool])
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#resultNodi = cursor.fetchall()
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#resultNodi_dict = {item['nodetype_id']: item for item in resultNodi}
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#print(resultNodi_dict)
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for row in data:
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row = row.split(",")
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#print(row)
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#print("-------")
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if i == 0:
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serial_number = row[1]
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if serial_number[0] == "0":
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serial_number = serial_number[1:] #rimuove primo char (se 0) del id nesa
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query = "SELECT unit_name, tool_name FROM nesa_tools WHERE serial_number='"+serial_number+"'"
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cursor.execute(query)
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result = cursor.fetchall()
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if(len(result) > 0):
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unit = result[0]["unit_name"]
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tool = result[0]["tool_name"]
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query = "SELECT tool_id, nodetype_id, nt.type as nodetype_name, num FROM nodes as n join nodetypes as nt on nt.id=n.nodetype_id join tools as t on t.id=n.tool_id join units as u on u.id=t.unit_id where u.name=%s and t.name=%s"
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cursor.execute(query, [unit, tool])
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resultNodi = cursor.fetchall()
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resultNodi_dict = {item['nodetype_id']: item for item in resultNodi}
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#print(result[0][0])
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#print(result[0][1])
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if(unit != "" and tool != ""):
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date = row[7]+"-"+row[6]+"-"+row[5]+" "+row[2]+":"+row[3]+":"+row[4]
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row = row[:-1]
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chunks = [row[i:i+3] for i in range(8, len(row), 3)]# Start from index 8 and split into chunks of 3
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battery = -1
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solarPanel = -1
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grouped = defaultdict(list)
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for chunk in chunks:
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key = chunk[0] # First value as the key
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grouped[key].append(chunk[1:]) # Store the rest of the values
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#print(grouped)
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if("108" in grouped):
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battery = grouped["108"][0][1]
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if("158" in grouped):
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solarPanel = grouped["158"][0][1]
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if("1" in grouped):
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nodetype_id_to_find = 4
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res = resultNodi_dict.get(nodetype_id_to_find) # Returns None if not found
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if(res is not None):
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node_num = res["num"]
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tempAvg = 0
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tempMin = 0
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tempMax = 0
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for item in grouped["1"]:
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key, value = item
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if key == '2':
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tempAvg = value
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elif key == '3':
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tempMin = value
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elif key == '4':
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tempMax = value
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#print("therm: ", tempAvg, tempMin, tempMax, " nodenum: ", node_num)
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dataJSON = '{ "battery":"'+battery+'", "solarPanel":"'+solarPanel+'", "tempAvg":"'+tempAvg+'", "tempMin":"'+tempMin+'", "tempMax":"'+tempMax+'"}'
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dati.append((unit, tool, node_num, date, dataJSON))
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if("2" in grouped):
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nodetype_id_to_find = 35
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res = resultNodi_dict.get(nodetype_id_to_find) # Returns None if not found
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if(res is not None):
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node_num = res["num"]
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humidityAvg = 0
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humidityMin = 0
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humidityMax = 0
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for item in grouped["2"]:
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key, value = item
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if key == '2':
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humidityAvg = value
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elif key == '3':
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humidityMin = value
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elif key == '4':
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humidityMax = value
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#print("humidity: ", humidityAvg, humidityMin, humidityMax, " nodenum: ", node_num)
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dataJSON = '{ "battery":"'+battery+'", "solarPanel":"'+solarPanel+'", "humAvg":"'+humidityAvg+'", "humMin":"'+humidityMin+'", "humMax":"'+humidityMax+'"}'
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dati.append((unit, tool, node_num, date, dataJSON))
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if("3" in grouped):
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nodetype_id_to_find = 69
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res = resultNodi_dict.get(nodetype_id_to_find) # Returns None if not found
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if(res is not None):
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node_num = res["num"]
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pyraAvg = 0
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pyraMin = 0
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pyraMax = 0
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for item in grouped["3"]:
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key, value = item
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if key == '2':
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pyraAvg = value
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elif key == '3':
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pyraMin = value
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elif key == '4':
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pyraMax = value
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#print("pyra: ", pyroAvg, pyroMin, pyroMax, " nodenum: ", node_num)
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dataJSON = '{ "battery":"'+battery+'", "solarPanel":"'+solarPanel+'", "pyraAvg":"'+pyraAvg+'", "pyraMin":"'+pyraMin+'", "pyraMax":"'+pyraMax+'"}'
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dati.append((unit, tool, node_num, date, dataJSON))
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if("4" in grouped):
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nodetype_id_to_find = 55
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res = resultNodi_dict.get(nodetype_id_to_find) # Returns None if not found
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if(res is not None):
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node_num = res["num"]
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windDirAvg = 0
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windDirMin = 0
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windDirMax = 0
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windSpeedAvg = 0
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windSpeedMin = 0
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windSpeedMax = 0
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for item in grouped["4"]:
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key, value = item
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if key == '2':
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windDirAvg = value
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elif key == '9':
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windDirMin = value
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elif key == '8':
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windDirMax = value
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for item in grouped["9"]:
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key, value = item
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if key == '2':
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windSpeedAvg = value
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elif key == '3':
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windSpeedMin = value
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elif key == '4':
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windSpeedMax = value
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#print("windDir: ", windDirAvg, windDirMin, windDirMax, "-windSpeed: ", windSpeedAvg, windSpeedMin, windSpeedMax, " nodenum: ", node_num)
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dataJSON = '{ "battery":"'+battery+'", "solarPanel":"'+solarPanel+'", "windDirAvg":"'+windDirAvg+'", "windDirMin":"'+windDirMin+'", "windDirMax":"'+windDirMax+'", "windSpeedAvg":"'+windSpeedAvg+'", "windSpeedMin":"'+windSpeedMin+'", "windSpeedMax":"'+windSpeedMax+'"}'
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dati.append((unit, tool, node_num, date, dataJSON))
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if("10" in grouped):
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nodetype_id_to_find = 27
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res = resultNodi_dict.get(nodetype_id_to_find) # Returns None if not found
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if(res is not None):
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node_num = res["num"]
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rain = 0
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for item in grouped["10"]:
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key, value = item
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rain = value
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#print("rain: ", rain, " nodenum: ", node_num)
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dataJSON = '{ "battery":"'+battery+'", "solarPanel":"'+solarPanel+'", "rain":"'+rain+'"}'
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dati.append((unit, tool, node_num, date, dataJSON))
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if("2013" in grouped):
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nodetype_id_to_find = 3
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res = resultNodi_dict.get(nodetype_id_to_find) # Returns None if not found
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if(res is not None):
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node_num = res["num"]
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pressureAvg = 0
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pressureMin = 0
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pressureMax = 0
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for item in grouped["2013"]:
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key, value = item
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if key == '2':
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pressureAvg = value
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elif key == '3':
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pressureMin = value
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elif key == '4':
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pressureMax = value
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#print("pressure: ", pressureAvg, pressureMin, pressureMax, " nodenum: ", node_num)
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dataJSON = '{ "battery":"'+battery+'", "solarPanel":"'+solarPanel+'", "pressureAvg":"'+pressureAvg+'", "pressureMin":"'+pressureMin+'", "pressureMax":"'+pressureMax+'"}'
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dati.append((unit, tool, node_num, date, dataJSON))
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else:
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break
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i+=1
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print(dati)
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return dati
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except Error as e:
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print("Error: ", e)
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def main():
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insertData(getDataFromCsv(sys.argv[1]))
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if __name__ == '__main__':
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main()
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