Различия

Здесь показаны различия между двумя версиями данной страницы.

--- doc:2003:mgul.200300.001.1201 [2024/08/10 17:31]
daftwi [Корневой каталог веб-приложения]
+++ doc:2003:mgul.200300.001.1201 [2024/08/11 22:53] (текущий)
daftwi [Корневой каталог веб-приложения]
@@ Строка 285: / Строка 285: @@
 //ini_set('display_startup_errors','1');
 //error_reporting(E_ALL);
-$pgi = pg_connect("host=localhost port=5432 dbname=averobo user=averobo password=genshin2021alena2021");
+$pgi = pg_connect("host=localhost port=5432 dbname=averobo user=averobo password=*****");
 ?>
 <!DOCTYPE html>
@@ Строка 807: / Строка 807: @@
 	border-bottom: 1px solid rgb(160, 160, 160);
 }
+</code></hidden>
+----
+====== ПРОГРАММНЫЙ КОД АВТОМАТИЗАЦИИ ======
+===== Архив с кодом автоматизации и библиотеками =====
+{{ :doc:2003:filesfordoku.zip | Server}}
+===== Текст кода библиотек =====
+<hidden lib2><code>
+import json
+import datetime
+import string
+import psycopg2
+import requests
+def is_float(a_string):
+	if a_string is None:
+		return False
+	try:
+		float(a_string)
+		return True
+	except ValueError:
+		return False
+class Baz():
+	"Stores name, serial and date"
+	def __init__(self, name, serial, dt):
+		self.name = name
+		self.serial = serial
+		self.dt = dt
+def mindata(j: dict) -> dict:
+	"""
+	This function is finding min for new data
+	"""
+	vec = []
+	data = []
+	fin = []
+	t = 0
+	dictData = j
+	"""
+	writing in file for debug
+	with open("testfile2.json", "a") as f:
+		f.write(json.dumps(dictData))
+	"""
+	for i in dictData:
+		"relocating names and dates in vector, will be using as set"
+		dictDatai = dictData[i]
+		t = 0
+		for s in vec:
+			if (s.name == dictDatai["uName"] and s.serial == dictDatai["serial"] and dictDatai["Date"][0:10] == s.dt) or dictDatai["uName"].find("Сервер") != -1:
+				t = 1
+		if t == 0:
+			vec.append(Baz(dictDatai["uName"],dictDatai["serial"],str(dictDatai["Date"][0:10])))
+		"""
+		debug
+		with open("testfile3.json", "a") as f:
+			f.write(json.dumps(dictDatai, ensure_ascii=False));
+		"""
+	for k in vec:
+		"creating vector of data for each pribor at each date"
+		data = []
+		for i in dictData:
+			dictDatai = dictData[i]
+			if dictDatai["uName"] == k.name and dictDatai["serial"] == k.serial and dictDatai["Date"][0:10] == k.dt:
+				data.append(dictDatai["data"])
+		"working with date"
+		if len(data) != 0:
+			for i in data:
+				fl = False
+				while fl == False:
+					fl = True
+					for h in i:
+						if "system" == h[0:6] or h[0:3] == "RTC" or h[0:3] == "NTP" or h.find("calibr_date") != -1:
+							i.pop(h)
+							fl = False
+							break
+		if len(data) != 0:
+			"comparison"
+			for h in data[0]:
+				if not is_float(data[0][h]):
+					data[0][h] = None
+				elif h.find("temp") != -1 and h.find("color_tempCT") == -1 and (float(data[0][h]) < -100 or float(data[0][h]) > 100):
+					data[0][h] = None
+				elif h.find("pressure") != -1 and (float(data[0][h]) < 100 or float(data[0][h]) > 1000):
+					data[0][h] = None
+				elif h.find("humidity") != -1 and (float(data[0][h]) < 0 or float(data[0][h]) > 100):
+					data[0][h] = None
+				for i in range(1,len(data)):
+					if h in data[i]:
+						tr = 0
+						if not is_float(data[i][h]):
+							tr = 1
+						elif h.find("temp") != -1 and h.find("color_tempCT") == -1 and (float(data[i][h]) < -100 or float(data[i][h]) > 100):
+							tr = 1
+						elif h.find("pressure") != -1 and (float(data[i][h]) < 100 or float(data[i][h]) > 1000):
+							tr = 1
+						elif h.find("humidity") != -1 and (float(data[i][h]) < 0 or float(data[i][h]) > 100):
+							tr = 1
+						if tr == 0:
+							if data[0][h] is None:
+								data[0][h] = round(float(data[i][h]), 4)
+							else:
+								data[0][h] = round(float(min(float(data[0][h]), float(data[i][h]))), 4)
+		"forming result"
+		final = dict(Date= k.dt, uName = k.name, serial = k.serial, data = data[0])
+		fin.append(final)
+	fe = {}
+	for i in range(len(fin)):
+		fe.update({str(i): fin[i]})
+	return fe
+def maxdata(j: dict) -> dict:
+	"""
+	This function is finding max new data
+	same system as min
+	"""
+	vec = []
+	data = []
+	fin = []
+	t = 0
+	dictData = j
+	"""
+	debug
+	with open("testfile2.json", "a") as f:
+		f.write(json.dumps(dictData))
+	"""
+	for i in dictData:
+		dictDatai = dictData[i]
+		t = 0
+		for s in vec:
+			if (s.name == dictDatai["uName"] and s.serial == dictDatai["serial"] and s.dt == dictDatai["Date"][0:10]) or dictDatai["uName"][0:6] == "Сервер":
+				t = 1
+		if t == 0:
+			vec.append(Baz(dictDatai["uName"],dictDatai["serial"],str(dictDatai["Date"][0:10])))
+		"""
+		debug
+		with open("testfile3.json", "a") as f:
+			f.write(json.dumps(dictDatai, ensure_ascii=False));
+		"""
+	for k in vec:
+		data = []
+		for i in dictData:
+			dictDatai = dictData[i]
+			if dictDatai["uName"] == k.name and dictDatai["serial"] == k.serial and dictDatai["Date"][0:10] == k.dt:
+				data.append(dictDatai["data"])
+		if len(data) != 0:
+			for i in data:
+				fl = False
+				while fl == False:
+					fl = True
+					for h in i:
+						if "system" == h[0:6] or h[0:3] == "RTC" or h[0:3] == "NTP" or h.find("calibr_date") != -1:
+							i.pop(h)
+							fl = False
+							break
+		if len(data) != 0:
+			for h in data[0]:
+				if not is_float(data[0][h]):
+					data[0][h] = None
+				elif h.find("temp") != -1 and h.find("color_tempCT") == -1 and (float(data[0][h]) < -100 or float(data[0][h]) > 100):
+					data[0][h] = None
+				elif h.find("pressure") != -1 and (float(data[0][h]) < 100 or float(data[0][h]) > 1000):
+					data[0][h] = None
+				elif h.find("humidity") != -1 and (float(data[0][h]) < 0 or float(data[0][h]) > 100):
+					data[0][h] = None
+				for i in range(1,len(data)):
+					if h in data[i]:
+						tr = 0
+						if not is_float(data[i][h]):
+							tr = 1
+						elif h.find("temp") != -1 and h.find("color_tempCT") == -1 and (float(data[i][h]) < -100 or float(data[i][h]) > 100):
+							tr = 1
+						elif h.find("pressure") != -1 and (float(data[i][h]) < 100 or float(data[i][h]) > 1000):
+							tr = 1
+						elif h.find("humidity") != -1 and (float(data[i][h]) < 0 or float(data[i][h]) > 100):
+							tr = 1
+						if tr == 0:
+							if data[0][h] is None:
+								data[0][h] = round(float(data[i][h]), 4)
+							else:
+								data[0][h] = round(float(max(float(data[0][h]), float(data[i][h]))), 4)
+		final = dict(Date= k.dt, uName = k.name, serial = k.serial, data = data[0])
+		fin.append(final)
+	fe = {}
+	for i in range(len(fin)):
+		fe.update({str(i): fin[i]})
+	return fe
+def halfpath15(j: dict) -> dict:
+	"""
+	This function is finding sum and amount in 15 minutes
+	"""
+	vec = []
+	data = []
+	fin = []
+	t = 0
+	dictData = j
+	"""
+	debug
+	with open("testfile2.json", "a") as f:
+		f.write(json.dumps(dictData))
+	"""
+	for i in dictData:
+		"appending our set of names and dates"
+		dictDatai = dictData[i]
+		t = 0
+		for s in vec:
+			if (s.name == dictDatai["uName"] and s.serial == dictDatai["serial"] and s.dt == dictDatai["Date"][0:10]) or dictDatai["uName"][0:6] == "Сервер":
+				t = 1
+		if t == 0:
+			vec.append(Baz(dictDatai["uName"],dictDatai["serial"],str(dictDatai["Date"][0:10])))
+		"""
+		debug
+		with open("testfile3.json", "a") as f:
+			f.write(json.dumps(dictDatai, ensure_ascii=False));
+		"""
+	for k in vec:
+		"working with data and deleting system info"
+		tempk = k.name
+		if (k.name[0:6] != "Сервер"):
+			data = []
+			for i in dictData:
+				dictDatai = dictData[i]
+				if dictDatai["uName"] == k.name and dictDatai["serial"] == k.serial and dictDatai["Date"][0:10] == k.dt:
+					data.append(dictDatai["data"])
+			if len(data) != 0:
+				for i in data:
+					fl = False
+					while fl == False:
+						fl = True
+						for h in i:
+							if "system" == h[0:6] or h[0:3] == "RTC" or h[0:3] == "NTP" or h.find("calibr_date") != -1:
+								i.pop(h)
+								fl = False
+								break
+			templendata = len(data)
+			tempdata = {}
+			if templendata != 0:
+				"averaging"
+				for h in data[0]:
+					lena = 1
+					if not is_float(data[0][h]):
+						data[0][h] = "0"
+						lena -= 1
+					elif h.find("temp") != -1 and h.find("color_tempCT") == -1 and (float(data[0][h]) < -100 or float(data[0][h]) > 100):
+						data[0][h] = "0"
+						lena -= 1
+					elif h.find("pressure") != -1 and (float(data[0][h]) < 100 or float(data[0][h]) > 1000):
+						data[0][h] = "0"
+						lena -= 1
+					elif h.find("humidity") != -1 and (float(data[0][h]) < 0 or float(data[0][h]) > 100):
+						data[0][h] = "0"
+						lena -= 1
+					sum = float(data[0][h])
+					for i in range(1,templendata):
+						if h in data[i]:
+							tr = 0
+							if not is_float(data[i][h]):
+								tr = 1
+							elif h.find("temp") != -1 and h.find("color_tempCT") == -1 and (float(data[i][h]) < -100 or float(data[i][h]) > 100):
+								tr = 1
+							elif h.find("pressure") != -1 and (float(data[i][h]) < 100 or float(data[i][h]) > 1000):
+								tr = 1
+							elif h.find("humidity") != -1 and (float(data[i][h]) < 0 or float(data[i][h]) > 100):
+								tr = 1
+							if tr == 0:
+								lena += 1
+								sum += float(data[i][h])
+					data[0][h] = round(sum, 4)
+					tempdata.update({str(h): lena})
+			# print(data[0], data[1])
+			final = dict(Date= k.dt, uName = k.name, serial = k.serial, summa = data[0], length = tempdata)
+			# print(final)
+			fin.append(final)
+	fe = {}
+	for i in range(len(fin)):
+		fe.update({str(i): fin[i]})
+	return fe
+def aver15(j: dict) -> dict:
+	"""
+	This function is finding average in 15 minutes
+	"""
+	fin = []
+	dictData = j
+	"""
+	debug
+	with open("testfile2.json", "a") as f:
+		f.write(json.dumps(dictData))
+	"""
+	for i in dictData:
+		"appending our set of names and dates"
+		dictDatai = dictData[i]
+		data = dict()
+		for t in dictDatai["summa"]:
+			# k = dictDatai["summa"][t]
+			# print(dictDatai["uName"], t, dictDatai["length"][t])
+			if int(dictDatai["length"][t]) == 0:
+				data[t] = 0.0000
+			else:
+				data[t] = round(float(dictDatai["summa"][t])/int(dictDatai["length"][t]), 4)
+		final = dict(Date= dictDatai["Date"], uName = dictDatai["uName"], serial = dictDatai["serial"], avr = data)
+		fin.append(final)
+	fe = {}
+	for i in range(len(fin)):
+		fe.update({str(i): fin[i]})
+	return fe
+def uploadolddata(y, m: string) -> json:
+	"uploading old data from archive"
+	with open('/home/alenanaz/db_all_' + y + '_'+ m +'.json') as f:
+		templates = json.load(f)
+	return templates
+def insert15min(p: dict, dbn, usavr, passavr, hostavr, tabavr, tabhp, datetime: string):
+	"""
+	inserting avr in data base
+	"""
+	p1 = aver15(p);
+	"connecting to the data base"
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	"sql queries"
+	for i in p:
+		if (p[i]["uName"][0:6] != "Сервер"):
+			cursor.execute(f'INSERT INTO {tabhp} VALUES(%s, %s, %s, %s, %s)', (datetime, (str(p[i]["uName"]) + ' ' + str(p[i]["serial"])), "half_path_15min", json.dumps(p[i]["summa"], ensure_ascii=False), json.dumps(p[i]["length"], ensure_ascii=False)))
+	for i in p1:
+		if (p[i]["uName"][0:6] != "Сервер"):
+			cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (datetime, (str(p1[i]["uName"]) + ' ' + str(p1[i]["serial"])), "aver_15min", json.dumps(p1[i]["avr"], ensure_ascii=False)))
+	conn.commit()
+def insertmin15(p: dict, dbn, usavr, passavr, hostavr, tabavr, datetime: string):
+	"""
+	inserting min in data base
+	"""
+	"connecting to the data base"
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	"sql queries"
+	for i in p:
+		if (p[i]["uName"][0:6] != "Сервер"):
+			cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (datetime, (str(p[i]["uName"])+' '+str(p[i]["serial"])), "minimum_in_15min", json.dumps(p[i]["data"], ensure_ascii=False)))
+	conn.commit()
+def insertmax15(p: dict, dbn, usavr, passavr, hostavr, tabavr, datetime: string):
+	"""
+	insert max in db
+	"""
+	"connecting to db"
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	"sql queries"
+	for i in p:
+		if (p[i]["uName"][0:6] != "Сервер"):
+			cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (datetime, (str(p[i]["uName"])+' '+str(p[i]["serial"])), "maximum_in_15max", json.dumps(p[i]["data"], ensure_ascii=False)))
+	conn.commit()
+</code></hidden>
+----
+<hidden lib3><code>
+import json
+import datetime
+import string
+import psycopg2
+class Baz():
+	"Stores name, serial and date"
+	def __init__(self, name, serial, dt):
+		self.name = name
+		self.serial = serial
+		self.dt = dt
+def insertavghour(dbn, usavr, passavr, hostavr, tabavr, tabhp, dt: string):
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	dt1 = datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S')
+	cursor.execute(f'SELECT a.name, parametr, SUM( CAST(sum->>parametr AS NUMERIC)) AS summa, SUM(CAST(num->>parametr AS INTEGER)) AS numbers FROM {tabhp} INNER JOIN (SELECT name, JSON_OBJECT_KEYS(sum) AS parametr FROM {tabhp} GROUP BY name, parametr) AS a ON a.name = {tabhp}.name WHERE (\'{dt1}\' - date >= \'00:00:00\') AND (\'{dt1}\' - date < \'01:00:00\') AND average = \'half_path_15min\' GROUP BY a.name,parametr ORDER BY a.name')
+	arr = tuple()
+	arr = cursor.fetchall()
+	dir_sum = {}
+	dir_num = {}
+	dir_avg = {}
+	name = ""
+	dt = str(dt1 - datetime.timedelta(minutes=8))
+	i = 0
+	for p in arr:
+		if(p[1] != None and p[2] != None and p[3] != None):
+			if (i == 0 or name == p[0]):
+				dir_sum[p[1]] = float(p[2])
+				dir_num[p[1]] = float(p[3])
+				if(p[3] != 0):
+					dir_avg[p[1]] = float(round(p[2]/p[3], 4))
+			else:
+				if(p[3] != 0):
+					cursor.execute(f'INSERT INTO {tabhp} VALUES(%s, %s, %s, %s, %s)', (dt, (str(name)), "half_path_hour", json.dumps(dir_sum, ensure_ascii=False), json.dumps(dir_num, ensure_ascii=False)))
+					cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), "aver_hour", json.dumps(dir_avg, ensure_ascii=False)))
+				dir_sum.clear()
+				dir_num.clear()
+				dir_avg.clear()
+				dir_sum[p[1]] = float(p[2])
+				dir_num[p[1]] = float(p[3])
+				if(p[3] != 0):
+					dir_avg[p[1]] = float(round(p[2]/p[3], 4))
+			name = p[0]
+			i += 1
+			if(i == len(arr) and p[3] != 0):
+				cursor.execute(f'INSERT INTO {tabhp} VALUES(%s, %s, %s, %s, %s)', (dt, (str(name)), "half_path_hour", json.dumps(dir_sum, ensure_ascii=False), json.dumps(dir_num, ensure_ascii=False)))
+				cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), "aver_hour", json.dumps(dir_avg, ensure_ascii=False)))
+	conn.commit()
+def insertmaxhour(dbn, usavr, passavr, hostavr, tabavr, dt: string):
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	dt1 = datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S')
+	cursor.execute(f'select a.name, parametr, max( cast(json_file->>parametr as numeric)) as max from {tabavr} inner join (select name, json_object_keys(json_file) as parametr from {tabavr} group by name, parametr) as a on a.name = {tabavr}.name where (\'{dt1}\' - date >= \'00:00:00\') and (\'{dt1}\' - date < \'01:00:00\')  and average = \'maximum_in_15max\' group by a.name,parametr order by a.name')
+	arr = tuple()
+	arr = cursor.fetchall()
+	dir_max = {}
+	name = ""
+	i = 0
+	dt = str(dt1 - datetime.timedelta(minutes=8))
+	for p in arr:
+		if(p[1] != None and p[2] != None):
+			if (i == 0 or name == p[0]):
+				dir_max[p[1]] = float(p[2])
+			else:
+				cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'maximum_in_hour', json.dumps(dir_max, ensure_ascii=False)))
+				dir_max.clear()
+				dir_max[p[1]] = float(p[2])
+			name = p[0]
+			i += 1
+			if(i == len(arr)):
+				cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'maximum_in_hour', json.dumps(dir_max, ensure_ascii=False)))
+	conn.commit()
+def insertminhour(dbn, usavr, passavr, hostavr, tabavr, dt: string):
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	dt1 = datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S')
+	cursor.execute(f'select a.name, parametr, min( cast(json_file->>parametr as numeric)) as min from {tabavr} inner join (select name, json_object_keys(json_file) as parametr from {tabavr} group by name, parametr) as a on a.name = {tabavr}.name where (\'{dt1}\' - date >= \'00:00:00\') and (\'{dt1}\' - date < \'01:00:00\')  and average = \'minimum_in_15min\' group by a.name,parametr order by a.name')
+	arr = tuple()
+	arr = cursor.fetchall()
+	dir_max = {}
+	name = ""
+	i = 0
+	dt = str(dt1 - datetime.timedelta(minutes=8))
+	for p in arr:
+		if(p[1] != None and p[2] != None):
+			if (i == 0 or name == p[0]):
+				dir_max[p[1]] = float(p[2])
+			else:
+				cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'minimum_in_hour', json.dumps(dir_max, ensure_ascii=False)))
+				dir_max.clear()
+				dir_max[p[1]] = float(p[2])
+			name = p[0]
+			i += 1
+			if(i == len(arr)):
+				cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'minimum_in_hour', json.dumps(dir_max, ensure_ascii=False)))
+	conn.commit()
+#days
+def insertavgday(dbn, usavr, passavr, hostavr, tabavr, tabhp, dt: string):
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	dt1 = datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S')
+	cursor.execute(f'SELECT a.name, parametr, SUM( CAST(sum->>parametr AS NUMERIC)) AS summa, SUM(CAST(num->>parametr AS NUMERIC)) AS numbers FROM {tabhp} INNER JOIN (SELECT name, JSON_OBJECT_KEYS(sum) AS parametr FROM {tabhp} GROUP BY name, parametr) AS a ON a.name = {tabhp}.name WHERE (\'{dt1}\' - date >= \'0:00:00\') AND (\'{dt1}\' - date < \'23:55:00\') AND average = \'half_path_hour\' GROUP BY a.name,parametr ORDER BY a.name')
+	arr = tuple()
+	arr = cursor.fetchall()
+	dir_sum = {}
+	dir_num = {}
+	dir_avg = {}
+	name = ""
+	dt = str(dt1 - datetime.timedelta(days=1))[0:10]
+	i = 0
+	for p in arr:
+		if(p[1] != None and p[2] != None and p[3] != None):
+			if (i == 0 or name == p[0]):
+				dir_sum[p[1]] = float(p[2])
+				dir_num[p[1]] = float(p[3])
+				if(p[3] != 0):
+					dir_avg[p[1]] = float(round(p[2]/p[3], 4))
+			else:
+				if(p[3] != 0):
+					cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), "average_of_day", json.dumps(dir_avg, ensure_ascii=False)))
+				dir_sum.clear()
+				dir_num.clear()
+				dir_avg.clear()
+				dir_sum[p[1]] = float(p[2])
+				dir_num[p[1]] = float(p[3])
+				dir_avg[p[1]] = float(round(p[2]/p[3], 4))
+			name = p[0]
+			i += 1
+			if(i == len(arr) and p[3] != 0):
+				cursor.execute(f'INSERT INTO {tabavr} VALUES(%s, %s, %s, %s)', (dt, (str(name)), "average_of_day", json.dumps(dir_avg, ensure_ascii=False)))
+	conn.commit()
+def insertmaxday(dbn, usavr, passavr, hostavr, tabavr, tabmn, dt: string):
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	dt1 = datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S')
+	cursor.execute(f'select a.name, parametr, max( cast(json_file->>parametr as numeric)) as max from {tabavr} inner join (select name, json_object_keys(json_file) as parametr from {tabavr} group by name, parametr) as a on a.name = {tabavr}.name where (\'{dt1}\' - date >= \'0:00:00\') and (\'{dt1}\' - date < \'23:55:00\')  and average = \'maximum_in_hour\' group by a.name,parametr order by a.name')
+	arr = tuple()
+	arr = cursor.fetchall()
+	dir_max = {}
+	name = ""
+	i = 0
+	dt = str(dt1 - datetime.timedelta(days=1))[0:10]
+	for p in arr:
+		if(p[1] != None and p[2] != None):
+			if (i == 0 or name == p[0]):
+				dir_max[p[1]] = float(p[2])
+			else:
+				cursor.execute(f'INSERT INTO {tabmn} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'maximum_in_day', json.dumps(dir_max, ensure_ascii=False)))
+				dir_max.clear()
+				dir_max[p[1]] = float(p[2])
+			name = p[0]
+			i += 1
+			if(i == len(arr)):
+				cursor.execute(f'INSERT INTO {tabmn} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'maximum_in_day', json.dumps(dir_max, ensure_ascii=False)))
+	conn.commit()
+def insertminday(dbn, usavr, passavr, hostavr, tabavr, tabmn, dt: string):
+	conn = psycopg2.connect(dbname=dbn, user=usavr,password=passavr, host=hostavr)
+	cursor = conn.cursor()
+	dt1 = datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S')
+	cursor.execute(f'select a.name, parametr, min( cast(json_file->>parametr as numeric)) as min from {tabavr} inner join (select name, json_object_keys(json_file) as parametr from {tabavr} group by name, parametr) as a on a.name = {tabavr}.name where (\'{dt1}\' - date >= \'0:00:00\') and (\'{dt1}\' - date < \'23:55:00\')  and average = \'minimum_in_hour\' group by a.name,parametr order by a.name')
+	arr = tuple()
+	arr = cursor.fetchall()
+	dir_max = {}
+	name = ""
+	i = 0
+	dt = str(dt1 - datetime.timedelta(days=1))[0:10]
+	for p in arr:
+		if(p[1] != None and p[2] != None):
+			if (i == 0 or name == p[0]):
+				dir_max[p[1]] = float(p[2])
+			else:
+				cursor.execute(f'INSERT INTO {tabmn} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'minimum_in_day', json.dumps(dir_max, ensure_ascii=False)))
+				dir_max.clear()
+				dir_max[p[1]] = float(p[2])
+			name = p[0]
+			i += 1
+			if(i == len(arr)):
+				cursor.execute(f'INSERT INTO {tabmn} VALUES(%s, %s, %s, %s)', (dt, (str(name)), 'minimum_in_day', json.dumps(dir_max, ensure_ascii=False)))
+	conn.commit()
 </code></hidden>
 ----

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