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@@ -1,12 +1,11 @@
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#!/usr/bin/python3
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-
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import mysql.connector
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import requests
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from bs4 import BeautifulSoup
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import urllib.parse
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-import re
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-from sys import exit as exit
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-import json
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+# import re
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+# from sys import exit as exit
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+# import json
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import datetime
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import custom_email
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from tabulate import tabulate
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@@ -14,6 +13,7 @@ from configparser import ConfigParser
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from os import path
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import logging
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+
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### TO DO ###
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#
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# Print useful reports (land only, house and land, etc)
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@@ -33,281 +33,302 @@ import logging
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#############
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class Property:
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- """Description of a proerty"""
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-
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- def __init__ (self, site_name, type, MLS, address, city, st, zip, \
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- county, price, acres, title='', sqft=0, bedrooms=0, baths=0, description='', link=''):
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-
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- self.site_name = site_name
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- self.type = type
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- self.MLS = MLS
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- self.title = title
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- self.sqft = sqft
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- self.bedrooms = bedrooms
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- self.baths = baths
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- self.address = address
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- self.city = city
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- self.st = st
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- self.zip = zip
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- self.county = county
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- self.price = price
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- self.acres = acres
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- self.description = description
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- self.link = link
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+ """Description of a proerty"""
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+
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+ def __init__(self, site_name, type, MLS, address, city, st, zip, county, price, acres, title='', sqft=0, bedrooms=0,
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+ baths=0, description='', link=''):
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+ self.site_name = site_name
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+ self.type = type
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+ self.MLS = MLS
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+ self.title = title
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+ self.sqft = sqft
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+ self.bedrooms = bedrooms
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+ self.baths = baths
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+ self.address = address
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+ self.city = city
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+ self.st = st
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+ self.zip = zip
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+ self.county = county
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+ self.price = price
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+ self.acres = acres
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+ self.description = description
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+ self.link = link
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class Parameters:
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- '''Parameters taken from config file'''
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- def __init__(self, file='landsearch.conf'):
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- self.file = file
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- if not path.exists(self.file):
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- raise FileNotFoundError("The config file cannot be opened", self.file)
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- try:
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- self.config = ConfigParser()
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- self.config.read(self.file)
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- self.search_params = self.config['Search']
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- self.log_params = self.config['Logging']
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- except Exception as err:
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- print(err, "Using default search Parameters")
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+ '''Parameters taken from config file'''
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+
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+ def __init__(self, file='landsearch.conf'):
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+ self.file = file
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+ if not path.exists(self.file):
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+ raise FileNotFoundError("The config file cannot be opened", self.file)
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+ try:
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+ self.config = ConfigParser()
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+ self.config.read(self.file)
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+ self.search_params = self.config['Search']
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+ self.log_params = self.config['Logging']
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+ except Exception as err:
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+ print(err, "Using default search Parameters")
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+
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+class Mylogger:
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+ ''' Logging tool for this session'''
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+ def __init__(self):
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+ log_params = Parameters().log_params
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+
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+ filename=log_params.get('log_file')
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+ level=int(log_params.get('logging_level', str('30')))
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+ format='%(asctime)s %(levelname)-8s %(message)s'
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+ datefmt='%Y-%m-%d %H:%M:%S'
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class Search:
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- '''Universal Search Criteria'''
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-
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- def checktype(self, attribute):
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- '''Fixes string None in config file and converts to '' '''
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- if not attribute == 'None':
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- return attribute
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- else:
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- return ''
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-
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- def __init__(self, file = 'landsearch.conf'):
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- # self.file = file
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- # if not path.exists(self.file):
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- # raise FileNotFoundError("The config file cannot be opened", self.file)
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- # try:
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- # config = ConfigParser()
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- # config.read(self.file)
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- # search_params = config['Search']
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- # log_params = config['Logging']
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- # except FileNotFoundError as err:
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- # print(err, "Using default search parameters.")
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- # except Exception as err:
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- # print(err, "Using default search parameters.")
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- params = Parameters()
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- search_params = params.search_params
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- log_params = params.log_params
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-
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- logging.basicConfig(filename=log_params.get('log_file'), \
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- level=int(log_params.get('logging_level', 30)), \
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- format='%(asctime)s %(levelname)-8s %(message)s', \
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- datefmt='%Y-%m-%d %H:%M:%S') ## Default log level WARNING (30)
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- logging.getLogger("urllib3").setLevel(logging.WARNING) ## Supress Requests method logging
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- logging.debug("Log level set to %s", logging.root.level)
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-
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-
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- county = search_params.get('county', ['Gwinnett', 'Hall', 'Jackson', 'Walton', 'Barrow'])
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- if isinstance(county, str):
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- county = county.split(", ")
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- type = search_params.get('type', ['farm', 'house', 'land'])
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- if isinstance(type, str):
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- type = type.split(", ")
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-
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- self.types=['land', 'farm', 'home', 'house']
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- self.county = county
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- self.lower_price = self.checktype(search_params.get('lower_price', 0))
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- self.upper_price = self.checktype(search_params.get('upper_price', 525000))
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- self.lower_acres = self.checktype(search_params.get('lower_acres', 5))
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- self.upper_acres = self.checktype(search_params.get('upper_acres', 15))
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- self.type = type ##accept list!
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- self.lower_sqft = self.checktype(search_params.get('lower_sqft', ''))
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- self.upper_sqft = self.checktype(search_params.get('upper_sqft', ''))
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- self.lower_bedrooms = self.checktype(search_params.get('lower_bedrooms', ''))
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- self.upper_bedrooms = self.checktype(search_params.get('upper_bedrooms', ''))
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-
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- for property_type in self.type:
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- assert property_type in self.types, ("Unknown type '" + property_type + "'. Property Type must be of type: " + str(self.types))
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-
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-## FOR TESTING, PRINT ALL ATTRIBUTES OF SEARCH ##
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- logging.debug(vars(self))
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+ '''Universal Search Criteria'''
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+
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+ def checktype(self, attribute):
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+ '''Fixes string None in config file and converts to '' '''
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+ if not attribute == 'None':
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+ return attribute
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+ else:
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+ return ''
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+
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+ def __init__(self, file='landsearch.conf'):
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+ # self.file = file
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+ # if not path.exists(self.file):
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+ # raise FileNotFoundError("The config file cannot be opened", self.file)
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+ # try:
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+ # config = ConfigParser()
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+ # config.read(self.file)
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+ # search_params = config['Search']
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+ # log_params = config['Logging']
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+ # except FileNotFoundError as err:
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+ # print(err, "Using default search parameters.")
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+ # except Exception as err:
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+ # print(err, "Using default search parameters.")
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+ params = Parameters()
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+ search_params = params.search_params
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+ log_params = params.log_params
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+
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+ logging.basicConfig(filename=log_params.get('log_file'),
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+ level=int(log_params.get('logging_level', str('30'))),
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+ format='%(asctime)s %(levelname)-8s %(message)s',
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+ datefmt='%Y-%m-%d %H:%M:%S') ## Default log level WARNING (30)
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+ logging.getLogger("urllib3").setLevel(logging.WARNING) ## Supress Requests method logging
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+ logging.debug("Log level set to %s", logging.root.level)
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+ Mylogger()
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+
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+ county = search_params.get('county', ['Gwinnett', 'Hall', 'Jackson', 'Walton', 'Barrow'])
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+ if isinstance(county, str):
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+ county = county.split(", ")
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+ type = search_params.get('type', ['farm', 'house', 'land'])
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+ if isinstance(type, str):
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+ type = type.split(", ")
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+
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+ self.types = ['land', 'farm', 'home', 'house']
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+ self.county = county
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+ self.lower_price = self.checktype(search_params.get('lower_price', '0'))
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+ self.upper_price = self.checktype(search_params.get('upper_price', '525000'))
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+ self.lower_acres = self.checktype(search_params.get('lower_acres', '5'))
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+ self.upper_acres = self.checktype(search_params.get('upper_acres', '15'))
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+ self.type = type ##accept list!
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+ self.lower_sqft = self.checktype(search_params.get('lower_sqft', ''))
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+ self.upper_sqft = self.checktype(search_params.get('upper_sqft', ''))
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+ self.lower_bedrooms = self.checktype(search_params.get('lower_bedrooms', ''))
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+ self.upper_bedrooms = self.checktype(search_params.get('upper_bedrooms', ''))
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+
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+ for property_type in self.type:
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+ assert property_type in self.types, (
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+ "Unknown type '" + property_type + "'. Property Type must be of type: " + str(self.types))
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+
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+ ## FOR TESTING, PRINT ALL ATTRIBUTES OF SEARCH ##
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+ logging.debug(vars(self))
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class ImproperSearchError(Exception):
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- def __init__ (self, search, message="Improper Search. Must use instance of Search class"):
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- self.search = search
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- self.message = message
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- super().__init__(self.message)
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+ def __init__(self, search, message="Improper Search. Must use instance of Search class"):
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+ self.search = search
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+ self.message = message
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+ super().__init__(self.message)
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class MLSDATA:
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- """Fetches and stores MLS Data
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+ """Fetches and stores MLS Data
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Currently only supports GeorgiaMLS.com (GMLS)"""
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- counties=['Gwinnett', 'Barrow', 'Hall', 'Jackson', 'Walton']
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- GoogleAPIKey = 'AIzaSyAXAnpBtjv760W8YIPqKZ0dFXpwAaZN7Es'
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- live_google = True
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-
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- def __init__ (self, mlstype):
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- self.help = "This is a class that will retrieve MLS data from various sources, store the info in a database, and run queries on the data."
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- self.mlstype = mlstype.lower() ## Determines what kind of data is to be retreieve (gmls, Zillow, etc)
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- self.cursor = ''
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- self.cnx = ''
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- self.new_listings = []
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- self.email = Parameters().search_params['email']
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- print("EMAIL: " + self.email)
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-
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- def stringbuilder(self, search: Search, county):
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- """ Takes Search class and build appropriate URL query based on mlstype. Currently only supports gmls."""
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-
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- if self.mlstype == 'gmls':
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- base_addr = 'https://www.georgiamls.com/real-estate/search-action.cfm?'
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- params = [('cnty', county), \
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- ('lpl', search.lower_price), ('lph', search.upper_price), \
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- ('acresL', search.lower_acres), ('acresH', search.upper_acres), \
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- ('sqftl', search.lower_sqft), ('sqfth', search.upper_sqft), \
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- ('orderBy', 'b'), \
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- ('scat', '1'), \
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- ('sdsp', 'g')]
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- for type in search.type:
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- if 'land' in type.lower():
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- params.append(('typ', 'll'))
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- if 'farm' in type.lower():
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- params.append(('typ', 'af'))
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- if 'home' in type.lower():
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- params.append(('typ', 'sd'))
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- if 'house' in type.lower():
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- params.append(('typ', 'sd'))
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- search_string = base_addr + urllib.parse.urlencode(params)
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- print(search_string)
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- return search_string
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-
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- def break_address(self, address):
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- """Takes an address string in the form 'street address|city, state zip' and returns a list"""
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- street = address[:address.find('|')]
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- csz = address[address.find('|')+1:]
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- city = csz[:csz.find(',')]
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- st = csz[csz.find(',')+1:].split(' ')[1]
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- zip = csz[csz.find(',')+1:].split(' ')[2]
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- split_address = [street, city, st, zip]
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- return split_address
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-
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- def gmlsparser(self, URL, county, pages=''):
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- """ Retrieve the website for georgiamls.com and returns a list of Property objects.
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- UNIQUE TO GEORGIAMLS.COM ONLY!!"""
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- properties_list = []
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- r = requests.get(URL)
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- soup = BeautifulSoup(r.content, 'html5lib')
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- if pages == '':
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- try:
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- pages = soup.find("div", {'class':'small listing-pagination-count'}).getText().strip().split(" ")[-1]
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- current_page = soup.find("div", {'class':'small listing-pagination-count'}).getText().strip().split(" ")[-3]
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- except AttributeError as err:
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- print("No Results Found.")
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- return
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- else:
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- print('pages already set to: ' + str(pages))
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- for page in range(0, int(pages)):
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- print('Processing Page: ' + str(page + 1) + ' of ' + str(pages))
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- if not page == 0:
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- next_URL = URL + '&start=' + str(((12*page)+1))
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- soup = BeautifulSoup(requests.get(next_URL).content, 'html5lib')
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- raw_listings = soup.findAll("div", {'class':'col-xs-12 col-sm-6 col-lg-4 text-center listing-gallery'})
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- for listing in raw_listings:
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- items = listing.findAll("p") ##
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- site_name = self.mlstype
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- MLS = " ".join(items[3].getText().strip()[6:15].split()) ## MLS NUMBER
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- title = '' ## Listing Title (address if no title)
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- price = items[0].string.strip() ## Price
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+ counties = ['Gwinnett', 'Barrow', 'Hall', 'Jackson', 'Walton']
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+ GoogleAPIKey = 'AIzaSyAXAnpBtjv760W8YIPqKZ0dFXpwAaZN7Es'
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+ live_google = True
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+
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+ def __init__(self, mlstype):
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+ self.parameters = Parameters()
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+ self.help = "This is a class that will retrieve MLS data from various sources, store the info in a database, and run queries on the data."
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+ self.mlstype = mlstype.lower() ## Determines what kind of data is to be retreieve (gmls, Zillow, etc)
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+ self.cursor = ''
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+ self.cnx = ''
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+ self.new_listings = []
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+ self.email = self.parameters.search_params.getboolean('email')
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+ print('Email ' + str(self.email))
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+
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+ def stringbuilder(self, search: Search, county):
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+ """ Takes Search class and build appropriate URL query based on mlstype. Currently only supports gmls."""
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+
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if self.mlstype == 'gmls':
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- link = 'https://www.georgiamls.com' + listing.a['href']
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- detail_request = requests.get(link)
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- detail_soup = BeautifulSoup(detail_request.content, 'html5lib')
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- details = detail_soup.findAll('tr')
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- bedbath = details[1].findAll('td')[1].getText().strip().split('/')
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- br = bedbath[0][:-3]
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- ba = bedbath[1][:-3]
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- baths = ba ## IF House is present
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- bedrooms = br ## IF House is present
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- address = ''
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- for element in details:
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- if 'sqft' in element.getText():
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- sqft = element.findAll('td')[1].getText().strip()[:-5].replace(',','')
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- if 'lot size' in element.getText().lower():
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- acres = element.findAll('td')[1].getText().strip()[:-6]
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- if 'Property Type' in element.getText():
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- ptype = element.findAll('td')[1].getText().strip()
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- if 'acreage' in ptype.lower():
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- type = 'af'
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- elif 'land lot' in ptype.lower():
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- type = 'll'
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- elif 'single family home' in ptype.lower():
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- type = 'sf'
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- else:
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- type = 'unknown'
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- if 'Address' in element.getText():
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- if not address: #Prevents finding the word 'address' elsewhere in the listings
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- address = element.findAll('td')[1]
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-#7 print("TEST ADDRESS: ", element)
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- street_address = list(address)[0].strip()
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- csz = list(address)[2].strip()
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- split_address = self.break_address(street_address + '|' + csz)
|
|
|
- description = detail_soup.find('div', {'id':'listing-remarks'}).getText().strip().replace('\t','')
|
|
|
- data = Property(site_name = self.mlstype, \
|
|
|
- type = type, \
|
|
|
- MLS = MLS, \
|
|
|
- bedrooms = bedrooms, \
|
|
|
- baths = baths, \
|
|
|
- sqft = sqft, \
|
|
|
- address = split_address[0], \
|
|
|
- city = split_address[1].title(), \
|
|
|
- st = split_address[2].upper(), \
|
|
|
- zip = split_address[3], \
|
|
|
- county = county.title(), \
|
|
|
- price = price.replace('$','').replace(',',''), \
|
|
|
- acres = acres, \
|
|
|
- description = description, \
|
|
|
- link = link)
|
|
|
- properties_list.append(data)
|
|
|
- print('Scanned: ' + data.address)
|
|
|
-
|
|
|
- return properties_list
|
|
|
-
|
|
|
- def getmlsdata(self, search: Search, county):
|
|
|
- """This is the main entrypoint. Takes arguments to pass to stringbuilder to create the URL.
|
|
|
+ base_addr = 'https://www.georgiamls.com/real-estate/search-action.cfm?'
|
|
|
+ params = [('cnty', county),
|
|
|
+ ('lpl', search.lower_price), ('lph', search.upper_price),
|
|
|
+ ('acresL', search.lower_acres), ('acresH', search.upper_acres),
|
|
|
+ ('sqftl', search.lower_sqft), ('sqfth', search.upper_sqft),
|
|
|
+ ('orderBy', 'b'),
|
|
|
+ ('scat', '1'),
|
|
|
+ ('sdsp', 'g')]
|
|
|
+ for type in search.type:
|
|
|
+ if 'land' in type.lower():
|
|
|
+ params.append(('typ', 'll'))
|
|
|
+ if 'farm' in type.lower():
|
|
|
+ params.append(('typ', 'af'))
|
|
|
+ if 'home' in type.lower():
|
|
|
+ params.append(('typ', 'sd'))
|
|
|
+ if 'house' in type.lower():
|
|
|
+ params.append(('typ', 'sd'))
|
|
|
+ search_string = base_addr + urllib.parse.urlencode(params)
|
|
|
+ print(search_string)
|
|
|
+ logging.debug(search_string)
|
|
|
+ return search_string
|
|
|
+
|
|
|
+ def break_address(self, address):
|
|
|
+ """Takes an address string in the form 'street address|city, state zip' and returns a list"""
|
|
|
+ street = address[:address.find('|')]
|
|
|
+ csz = address[address.find('|') + 1:]
|
|
|
+ city = csz[:csz.find(',')]
|
|
|
+ st = csz[csz.find(',') + 1:].split(' ')[1]
|
|
|
+ zip = csz[csz.find(',') + 1:].split(' ')[2]
|
|
|
+ split_address = [street, city, st, zip]
|
|
|
+ return split_address
|
|
|
+
|
|
|
+ def gmlsparser(self, URL, county, pages=''):
|
|
|
+ """ Retrieve the website for georgiamls.com and returns a list of Property objects.
|
|
|
+ UNIQUE TO GEORGIAMLS.COM ONLY!!"""
|
|
|
+ properties_list = []
|
|
|
+ r = requests.get(URL)
|
|
|
+ soup = BeautifulSoup(r.content, 'html5lib')
|
|
|
+ if pages == '':
|
|
|
+ try:
|
|
|
+ pages = soup.find("div", {'class': 'small listing-pagination-count'}).getText().strip().split(" ")[-1]
|
|
|
+ current_page = \
|
|
|
+ soup.find("div", {'class': 'small listing-pagination-count'}).getText().strip().split(" ")[-3]
|
|
|
+ except AttributeError as err:
|
|
|
+ print("No Results Found.")
|
|
|
+ return
|
|
|
+ else:
|
|
|
+ print('pages already set to: ' + str(pages))
|
|
|
+ for page in range(0, int(pages)):
|
|
|
+ print('Processing Page: ' + str(page + 1) + ' of ' + str(pages))
|
|
|
+ if not page == 0:
|
|
|
+ next_URL = URL + '&start=' + str(((12 * page) + 1))
|
|
|
+ soup = BeautifulSoup(requests.get(next_URL).content, 'html5lib')
|
|
|
+ raw_listings = soup.findAll("div", {'class': 'col-xs-12 col-sm-6 col-lg-4 text-center listing-gallery'})
|
|
|
+ for listing in raw_listings:
|
|
|
+ items = listing.findAll("p") ##
|
|
|
+ site_name = self.mlstype
|
|
|
+ MLS = " ".join(items[3].getText().strip()[6:15].split()) ## MLS NUMBER
|
|
|
+ title = '' ## Listing Title (address if no title)
|
|
|
+ price = items[0].string.strip() ## Price
|
|
|
+ if self.mlstype == 'gmls':
|
|
|
+ link = 'https://www.georgiamls.com' + listing.a['href']
|
|
|
+ detail_request = requests.get(link)
|
|
|
+ detail_soup = BeautifulSoup(detail_request.content, 'html5lib')
|
|
|
+ details = detail_soup.findAll('tr')
|
|
|
+ bedbath = details[1].findAll('td')[1].getText().strip().split('/')
|
|
|
+ br = bedbath[0][:-3]
|
|
|
+ ba = bedbath[1][:-3]
|
|
|
+ baths = ba ## IF House is present
|
|
|
+ bedrooms = br ## IF House is present
|
|
|
+ address = ''
|
|
|
+ for element in details:
|
|
|
+ if 'sqft' in element.getText():
|
|
|
+ sqft = element.findAll('td')[1].getText().strip()[:-5].replace(',', '')
|
|
|
+ if 'lot size' in element.getText().lower():
|
|
|
+ acres = element.findAll('td')[1].getText().strip()[:-6]
|
|
|
+ if 'Property Type' in element.getText():
|
|
|
+ ptype = element.findAll('td')[1].getText().strip()
|
|
|
+ if 'acreage' in ptype.lower():
|
|
|
+ type = 'af'
|
|
|
+ elif 'land lot' in ptype.lower():
|
|
|
+ type = 'll'
|
|
|
+ elif 'single family home' in ptype.lower():
|
|
|
+ type = 'sf'
|
|
|
+ else:
|
|
|
+ type = 'unknown'
|
|
|
+ if 'Address' in element.getText():
|
|
|
+ if not address: # Prevents finding the word 'address' elsewhere in the listings
|
|
|
+ address = element.findAll('td')[1]
|
|
|
+ # 7 print("TEST ADDRESS: ", element)
|
|
|
+ street_address = list(address)[0].strip()
|
|
|
+ csz = list(address)[2].strip()
|
|
|
+ split_address = self.break_address(street_address + '|' + csz)
|
|
|
+ description = detail_soup.find('div', {'id': 'listing-remarks'}).getText().strip().replace('\t', '')
|
|
|
+ data = Property(site_name=self.mlstype,
|
|
|
+ type=type,
|
|
|
+ MLS=MLS,
|
|
|
+ bedrooms=bedrooms,
|
|
|
+ baths=baths,
|
|
|
+ sqft=sqft,
|
|
|
+ address=split_address[0],
|
|
|
+ city=split_address[1].title(),
|
|
|
+ st=split_address[2].upper(),
|
|
|
+ zip=split_address[3],
|
|
|
+ county=county.title(),
|
|
|
+ price=price.replace('$', '').replace(',', ''),
|
|
|
+ acres=acres,
|
|
|
+ description=description,
|
|
|
+ link=link)
|
|
|
+ properties_list.append(data)
|
|
|
+ logging.debug('Scanned: ' + data.address)
|
|
|
+ print('Scanned: ' + data.address)
|
|
|
+
|
|
|
+ return properties_list
|
|
|
+
|
|
|
+ def getmlsdata(self, search: Search, county):
|
|
|
+ """This is the main entrypoint. Takes arguments to pass to stringbuilder to create the URL.
|
|
|
Selects appropriate parser based on self.mlstype from class intance.
|
|
|
Needs any modifications from the standard search ($0 to $500,000, 5 to 15 acres, etc)
|
|
|
See class search for more information.
|
|
|
--> 9/1/20 - takes Search class as argument. All properties are handled by the class <--"""
|
|
|
- if isinstance(search, Search):
|
|
|
- if not county in self.counties: ### FIX for lower()
|
|
|
- print("County " + county + " not regognized. Exiting")
|
|
|
- else:
|
|
|
- print("Scanning for results in " + county + " using the " + self.mlstype.upper() + " database.")
|
|
|
- if self.mlstype == 'gmls':
|
|
|
- list = self.gmlsparser(self.stringbuilder(search, county), county)
|
|
|
- return list
|
|
|
- else:
|
|
|
- raise ImproperSearchError(search)
|
|
|
+ logging.info('getgmlsdata starting.')
|
|
|
+ logging.debug('Scanning: ' + county + " county")
|
|
|
+ if isinstance(search, Search):
|
|
|
+ if not county in self.counties: ### FIX for lower()
|
|
|
+ print("County " + county + " not regognized. Exiting")
|
|
|
+ else:
|
|
|
+ print("Scanning for results in " + county + " using the " + self.mlstype.upper() + " database.")
|
|
|
+ if self.mlstype == 'gmls':
|
|
|
+ list = self.gmlsparser(self.stringbuilder(search, county), county)
|
|
|
+ logging.info("Completed search in " + county + " county. " + str(len(list)) + " total properties scanned.")
|
|
|
+ return list
|
|
|
+ else:
|
|
|
+ raise ImproperSearchError(search)
|
|
|
|
|
|
- def checkdb(self, criteria_dict):
|
|
|
- """Check dictionary of critera against database.
|
|
|
+ def checkdb(self, criteria_dict):
|
|
|
+ """Check dictionary of critera against database.
|
|
|
Currently accepts keys: MLS, title, address (street number/name, not city/state/zip).
|
|
|
Returns True if records exists."""
|
|
|
- if self.cursor: ## Check if DB is connected
|
|
|
- for criteria in criteria_dict:
|
|
|
- ## Determine criteria passed, and execute queries for each
|
|
|
- if criteria == 'MLS':
|
|
|
- self.cursor.execute("SELECT COUNT(*) FROM properties WHERE MLS = %(MLS)s GROUP BY id", {criteria:criteria_dict[criteria]})
|
|
|
- if self.cursor.rowcount > 0: return self.cursor.rowcount # stop for loop if match already found.
|
|
|
- elif criteria == 'title':
|
|
|
- self.cursor.execute("SELECT COUNT(*) FROM properties WHERE title = %(title)s GROUP BY id", {criteria:criteria_dict[criteria]})
|
|
|
- if self.cursor.rowcount > 0: return self.cursor.rowcount # stop for loop if match already found.
|
|
|
- elif criteria == 'address':
|
|
|
- self.cursor.execute("SELECT COUNT(*) FROM properties WHERE address = %(address)s GROUP BY id", {criteria:criteria_dict[criteria]})
|
|
|
- if self.cursor.rowcount > 0: return self.cursor.rowcount # stop for loop if match already found.
|
|
|
+ if self.cursor: ## Check if DB is connected
|
|
|
+ for criteria in criteria_dict:
|
|
|
+ ## Determine criteria passed, and execute queries for each
|
|
|
+ if criteria == 'MLS':
|
|
|
+ self.cursor.execute("SELECT COUNT(*) FROM properties WHERE MLS = %(MLS)s GROUP BY id",
|
|
|
+ {criteria: criteria_dict[criteria]})
|
|
|
+ if self.cursor.rowcount > 0: return self.cursor.rowcount # stop for loop if match already found.
|
|
|
+ elif criteria == 'title':
|
|
|
+ self.cursor.execute("SELECT COUNT(*) FROM properties WHERE title = %(title)s GROUP BY id",
|
|
|
+ {criteria: criteria_dict[criteria]})
|
|
|
+ if self.cursor.rowcount > 0: return self.cursor.rowcount # stop for loop if match already found.
|
|
|
+ elif criteria == 'address':
|
|
|
+ self.cursor.execute("SELECT COUNT(*) FROM properties WHERE address = %(address)s GROUP BY id",
|
|
|
+ {criteria: criteria_dict[criteria]})
|
|
|
+ if self.cursor.rowcount > 0: return self.cursor.rowcount # stop for loop if match already found.
|
|
|
+ else:
|
|
|
+ print("Cannot search on parameter: " + criteria)
|
|
|
+ return self.cursor.rowcount
|
|
|
else:
|
|
|
- print("Cannot search on parameter: " + criteria)
|
|
|
- return self.cursor.rowcount
|
|
|
- else:
|
|
|
- print("Database is not connected or cursor not filled. Use function 'connectdb()' to establish")
|
|
|
+ print("Database is not connected or cursor not filled. Use function 'connectdb()' to establish")
|
|
|
|
|
|
- def getGoogle(self, property):
|
|
|
- """Supplies date from Google Distance Matrix API to populate
|
|
|
+ def getGoogle(self, property):
|
|
|
+ """Supplies date from Google Distance Matrix API to populate
|
|
|
distance_to_work
|
|
|
time_to_work
|
|
|
distance_to_school
|
|
|
@@ -315,146 +336,161 @@ class MLSDATA:
|
|
|
Costs money, so it should only be called when inserting a new db record.
|
|
|
Returns distance in METERS (1m = 0.000621371 mi) and time in SECONDS
|
|
|
returns fully populated Propery object."""
|
|
|
- print("Fetching live Google Data. $$")
|
|
|
- destination1 = 'Hebron Christian Acadamy' ## Working query for Hebron Christian Acadamy
|
|
|
- destination2 = 'JHRJ+FJ Atlanta, Georgia' ## Plus code for Hourly parking at Int'l Terminal, KATL
|
|
|
- params = {}
|
|
|
- params['units'] = 'imperial'
|
|
|
- params['origins'] = property.address + ', ' + property.city + ' ' + property.st
|
|
|
- params['destinations'] = 'Hebron Christian Acadamy|JHRJ+FJ Atlanta, Georgia'
|
|
|
- params['key'] = self.GoogleAPIKey
|
|
|
- baseURL = 'https://maps.googleapis.com/maps/api/distancematrix/json?'
|
|
|
- API_URL = baseURL + urllib.parse.urlencode(params)
|
|
|
-# print(API_URL)
|
|
|
-
|
|
|
-# Send Request and capture result as json
|
|
|
- try:
|
|
|
- google_result = requests.get(API_URL).json()
|
|
|
- if google_result['status'] == 'OK':
|
|
|
- property.distance_to_school = google_result['rows'][0]['elements'][0]['distance']['value']
|
|
|
- property.time_to_school = google_result['rows'][0]['elements'][0]['duration']['value']
|
|
|
- property.distance_to_work = google_result['rows'][0]['elements'][1]['distance']['value']
|
|
|
- property.time_to_work = google_result['rows'][0]['elements'][1]['duration']['value']
|
|
|
- except:
|
|
|
- print("ERROR: Failed to obtain Google API data")
|
|
|
-
|
|
|
- def insertrecord(self, property, work_address=None, school_address=None):
|
|
|
- """Inserts record into database. Takes argument Property class object.
|
|
|
- FUTURE - add date_added field to insert operation."""
|
|
|
- if self.cursor:
|
|
|
- criteria_dict = property.__dict__
|
|
|
- criteria_dict['Date_Added'] = str(datetime.date.today())
|
|
|
- placeholder_columns = ", ".join(criteria_dict.keys())
|
|
|
- placeholder_values = ", ".join([":{0}".format(col) for col in criteria_dict.keys()])
|
|
|
- qry = "INSERT INTO properties ({placeholder_columns}) VALUES {placeholder_values}".format(placeholder_columns=placeholder_columns, placeholder_values=tuple(criteria_dict.values()))
|
|
|
- self.cursor.execute(qry)
|
|
|
- self.cnx.commit()
|
|
|
- print("Inserted " + criteria_dict['MLS'] + " | " + criteria_dict['address'] + " into database.")
|
|
|
- else:
|
|
|
- print("Database is not connected or cursor not filled. Use function 'connectdb()' to establish")
|
|
|
-
|
|
|
- def connectdb(self, host='192.168.100.26', user='landsearchuser', password='1234', database='landsearch'):
|
|
|
- """Connects to database and returns a cursor object"""
|
|
|
- self.cnx = mysql.connector.connect(host=host, user=user, password=password, database=database, buffered=True)
|
|
|
- self.cursor = self.cnx.cursor()
|
|
|
- return self.cursor
|
|
|
-
|
|
|
- def closedb(self):
|
|
|
- """Cleanly close the db."""
|
|
|
- self.cursor.close()
|
|
|
- self.cnx.close()
|
|
|
-
|
|
|
- def dbinsert(self, properties: list):
|
|
|
- """Inserts records into database. Takes list of Property class objects"""
|
|
|
- if not properties == None:
|
|
|
- if not isinstance(properties, list):
|
|
|
- raise TypeError('type list required')
|
|
|
- for property in properties:
|
|
|
- if not self.checkdb({'MLS': property.MLS, 'address': property.address}):
|
|
|
- if self.live_google: self.getGoogle(property) ## <- This will populate distance and time fields if set TRUE
|
|
|
- self.insertrecord(property)
|
|
|
- self.new_listings.append(property)
|
|
|
+ print("Fetching live Google Data. $$")
|
|
|
+ logging.warning("Calling Google API. $$")
|
|
|
+ destination1 = 'Hebron Christian Acadamy' ## Working query for Hebron Christian Acadamy
|
|
|
+ destination2 = 'JHRJ+FJ Atlanta, Georgia' ## Plus code for Hourly parking at Int'l Terminal, KATL
|
|
|
+ params = {}
|
|
|
+ params['units'] = 'imperial'
|
|
|
+ params['origins'] = property.address + ', ' + property.city + ' ' + property.st
|
|
|
+ params['destinations'] = 'Hebron Christian Acadamy|JHRJ+FJ Atlanta, Georgia'
|
|
|
+ params['key'] = self.GoogleAPIKey
|
|
|
+ baseURL = 'https://maps.googleapis.com/maps/api/distancematrix/json?'
|
|
|
+ API_URL = baseURL + urllib.parse.urlencode(params)
|
|
|
+ # print(API_URL)
|
|
|
+
|
|
|
+ # Send Request and capture result as json
|
|
|
+ try:
|
|
|
+ google_result = requests.get(API_URL).json()
|
|
|
+ if google_result['status'] == 'OK':
|
|
|
+ property.distance_to_school = google_result['rows'][0]['elements'][0]['distance']['value']
|
|
|
+ property.time_to_school = google_result['rows'][0]['elements'][0]['duration']['value']
|
|
|
+ property.distance_to_work = google_result['rows'][0]['elements'][1]['distance']['value']
|
|
|
+ property.time_to_work = google_result['rows'][0]['elements'][1]['duration']['value']
|
|
|
+ except:
|
|
|
+ print("ERROR: Failed to obtain Google API data")
|
|
|
+
|
|
|
+ def insertrecord(self, property, work_address=None, school_address=None):
|
|
|
+ """Inserts record into database. Takes argument Property class object."""
|
|
|
+ if self.cursor:
|
|
|
+ criteria_dict = property.__dict__
|
|
|
+ criteria_dict['Date_Added'] = str(datetime.date.today())
|
|
|
+ placeholder_columns = ", ".join(criteria_dict.keys())
|
|
|
+ placeholder_values = ", ".join([":{0}".format(col) for col in criteria_dict.keys()])
|
|
|
+ qry = "INSERT INTO properties ({placeholder_columns}) VALUES {placeholder_values}".format(
|
|
|
+ placeholder_columns=placeholder_columns, placeholder_values=tuple(criteria_dict.values()))
|
|
|
+ try:
|
|
|
+ self.cursor.execute(qry)
|
|
|
+ self.cnx.commit()
|
|
|
+ print("Inserted " + criteria_dict['MLS'] + " | " + criteria_dict['address'] + " into database.")
|
|
|
+ logging.debug("Inserted " + criteria_dict['MLS'] + " | " + criteria_dict['address'] + " into database.")
|
|
|
+ except Exception as e:
|
|
|
+ print("Could not insert " + criteria_dict['address'] + " into database. Database connection error.")
|
|
|
+ logging.warning("Could not insert " + criteria_dict['address'] + "into database. Database connection "
|
|
|
+ "error.")
|
|
|
+ logging.warning(str(e))
|
|
|
else:
|
|
|
- print(property.MLS + ' | ' + property.address + ' is already in db. Not inserted.')
|
|
|
-##REMOVE FOR TESTING###
|
|
|
-# self.new_listings.append(property)
|
|
|
-#######################
|
|
|
- else:
|
|
|
- print("Empty dataset. No records to insert.")
|
|
|
-
|
|
|
- def alerts(self):
|
|
|
- pass
|
|
|
-
|
|
|
- def email_results(self):
|
|
|
- pass
|
|
|
- if self.email:
|
|
|
- logging.debug("email_results" + str(self.email))
|
|
|
- body = ''
|
|
|
- data = []
|
|
|
- subj = "New Real Estate Listings for " + str(datetime.date.today())
|
|
|
- for listing in self.new_listings:
|
|
|
- row = []
|
|
|
- body += listing.MLS + " | " + listing.address + " | " + listing.acres + " | " + listing.price + " | " + listing.link + "\n"
|
|
|
- row.append(listing.MLS)
|
|
|
- row.append(listing.address)
|
|
|
- row.append('{:0,.2f}'.format(float(listing.acres)))
|
|
|
- row.append(listing.sqft)
|
|
|
- row.append('${:0,.0f}'.format(int(listing.price)))
|
|
|
- row.append(listing.time_to_school/60 if hasattr(listing, 'time_to_school') else 'NA')
|
|
|
- row.append(listing.link)
|
|
|
- data.append(row)
|
|
|
- body = """\
|
|
|
- Daily Real Estate Search Report\n
|
|
|
- The following properties have been found which may be of interest.\n
|
|
|
- """
|
|
|
- results = tabulate(data, headers=['MLS', 'Address', 'Acres', 'sqft', 'Price', 'Time to School', 'link'])
|
|
|
- body += results
|
|
|
- sendto = ['stagl.mike@gmail.com', 'M_Stagl@hotmail.com']
|
|
|
- mymail = custom_email.simplemail(subj, body, sendto)
|
|
|
+ print("Database is not connected or cursor not filled. Use function 'connectdb()' to establish")
|
|
|
+
|
|
|
+ def connectdb(self, host='192.168.100.26', user='landsearchuser', password='1234', database='landsearch'):
|
|
|
+ """Connects to database and returns a cursor object"""
|
|
|
+ self.cnx = mysql.connector.connect(host=host, user=user, password=password, database=database, buffered=True)
|
|
|
+ self.cursor = self.cnx.cursor()
|
|
|
+ return self.cursor
|
|
|
+
|
|
|
+ def closedb(self):
|
|
|
+ """Cleanly close the db."""
|
|
|
+ self.cursor.close()
|
|
|
+ self.cnx.close()
|
|
|
+
|
|
|
+ def dbinsert(self, properties: list):
|
|
|
+ """Inserts records into database. Takes list of Property class objects"""
|
|
|
+ if not properties == None:
|
|
|
+ if not isinstance(properties, list):
|
|
|
+ raise TypeError('type list required')
|
|
|
+ for property in properties:
|
|
|
+ if not self.checkdb({'MLS': property.MLS, 'address': property.address}):
|
|
|
+ if self.live_google: self.getGoogle(
|
|
|
+ property) ## <- This will populate distance and time fields if set TRUE
|
|
|
+ self.insertrecord(property)
|
|
|
+ self.new_listings.append(property)
|
|
|
+ else:
|
|
|
+ print(property.MLS + ' | ' + property.address + ' is already in db. Not inserted.')
|
|
|
+ ##REMOVE FOR TESTING###
|
|
|
+ # self.new_listings.append(property)
|
|
|
+ #######################
|
|
|
+ else:
|
|
|
+ print("Empty dataset. No records to insert.")
|
|
|
+ logging.info("Database Update Complete.")
|
|
|
+ logging.info(str(len(self.new_listings)) + " new listings found.")
|
|
|
|
|
|
- if len(self.new_listings) > 0:
|
|
|
- try:
|
|
|
- mymail.sendmail()
|
|
|
- except Exception as e:
|
|
|
- print("Error sending email. " + e)
|
|
|
- logging.warning("Error sending email. " + e)
|
|
|
- else:
|
|
|
- print("No new listings. Email not sent")
|
|
|
- logging.info("No new listings. Email not sent")
|
|
|
- else:
|
|
|
- print("Suppressing email based on landsearch.conf preferences.")
|
|
|
- logging.warning("Suppressing email based on landsearch.conf preferences.")
|
|
|
+ def alerts(self):
|
|
|
+ pass
|
|
|
|
|
|
+ def email_results(self):
|
|
|
+ global mymail
|
|
|
+ sendto = ['stagl.mike@gmail.com', 'M_Stagl@hotmail.com']
|
|
|
+ if self.email:
|
|
|
+ ''' Send some kind of email! '''
|
|
|
+ # If there are new listings, populate email ##
|
|
|
+ if len(self.new_listings) > 0:
|
|
|
+ logging.debug("email_results" + str(self.email))
|
|
|
+ body = ''
|
|
|
+ data = []
|
|
|
+ subj = "New Real Estate Listings for " + str(datetime.date.today())
|
|
|
+ for listing in self.new_listings:
|
|
|
+ row = []
|
|
|
+ body += listing.MLS + " | " + listing.address + " | " + listing.acres + " | " + listing.price + " | " + listing.link + "\n"
|
|
|
+ row.append(listing.MLS)
|
|
|
+ row.append(listing.address)
|
|
|
+ row.append('{:0,.2f}'.format(float(listing.acres)))
|
|
|
+ row.append(listing.sqft)
|
|
|
+ row.append('${:0,.0f}'.format(int(listing.price)))
|
|
|
+ row.append(listing.time_to_school / 60 if hasattr(listing, 'time_to_school') else 'NA')
|
|
|
+ row.append(listing.link)
|
|
|
+ data.append(row)
|
|
|
+ body = """\
|
|
|
+ Daily Real Estate Search Report\n
|
|
|
+ The following properties have been found which may be of interest.\n
|
|
|
+ """
|
|
|
+ results = tabulate(data,
|
|
|
+ headers=['MLS', 'Address', 'Acres', 'sqft', 'Price', 'Time to School', 'link'])
|
|
|
+ body += results
|
|
|
+
|
|
|
+ mymail = custom_email.simplemail(subj, body, sendto)
|
|
|
+ else:
|
|
|
+ body = 'No new listings found'
|
|
|
+ subj = '0 New Real Estate Listings for ' + str(datetime.date.today())
|
|
|
+
|
|
|
+ try:
|
|
|
+ mymail = custom_email.simplemail(subj, body, sendto)
|
|
|
+ mymail.sendmail()
|
|
|
+ print("Email sent.")
|
|
|
+ logging.info('Emails sent to: ' + str(sendto))
|
|
|
+ except Exception as e:
|
|
|
+ print("Error sending email. " + str(e))
|
|
|
+ logging.warning("Error sending email. " + str(e))
|
|
|
+ else:
|
|
|
+ print("Suppressing email based on landsearch.conf preferences.")
|
|
|
+ logging.warning("Suppressing email based on landsearch.conf preferences.")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
|
|
|
- gmls = MLSDATA('GMLS') # Create MLSDATA object
|
|
|
-
|
|
|
- mysearch = Search() # Create a custom search object
|
|
|
- myresults = []
|
|
|
-
|
|
|
-## Create function in MLSDATA module:
|
|
|
-# - takes counties from configparser and calls getmlsdata for each county.
|
|
|
-# - Compiles results into single list and returns that list
|
|
|
-# - User code would look something like this:
|
|
|
-# _ mysearch = Search()
|
|
|
-# _ mydata = gmls.findalllistings(mysearch) # This would control the looping of counties and return a list like normal
|
|
|
-# _ gmls.dbinsert(myresults) # This would automate db opening and closing
|
|
|
- for county in mysearch.county:
|
|
|
- print("local search: ", county)
|
|
|
- mysearch = Search() ## Search used to take county as parameter, so this loop would work. Now Search class contains list. loop must occur in getmlsdata module
|
|
|
- mydata = gmls.getmlsdata(mysearch, county)
|
|
|
-
|
|
|
- if mydata: #Avoids a crash is there is no data
|
|
|
- for listing in mydata:
|
|
|
- myresults.append(listing)
|
|
|
-
|
|
|
-# print(len(myresults))
|
|
|
-# print(myresults[0].address)
|
|
|
- gmls.connectdb()
|
|
|
- gmls.dbinsert(myresults)
|
|
|
- gmls.closedb()
|
|
|
-
|
|
|
- gmls.email_results()
|
|
|
-
|
|
|
-
|
|
|
+ gmls = MLSDATA('GMLS') # Create MLSDATA object
|
|
|
+
|
|
|
+ mysearch = Search() # Create a custom search object
|
|
|
+ myresults = []
|
|
|
+
|
|
|
+ ## Create function in MLSDATA module:
|
|
|
+ # - takes counties from configparser and calls getmlsdata for each county.
|
|
|
+ # - Compiles results into single list and returns that list
|
|
|
+ # - User code would look something like this:
|
|
|
+ # _ mysearch = Search()
|
|
|
+ # _ mydata = gmls.findalllistings(mysearch) # This would control the looping of counties and return a list like normal
|
|
|
+ # _ gmls.dbinsert(myresults) # This would automate db opening and closing
|
|
|
+ for county in mysearch.county:
|
|
|
+ print("local search: ", county)
|
|
|
+ mysearch = Search() ## Search used to take county as parameter, so this loop would work. Now Search class contains list. loop must occur in getmlsdata module
|
|
|
+ mydata = gmls.getmlsdata(mysearch, county)
|
|
|
+
|
|
|
+ if mydata: # Avoids a crash is there is no data
|
|
|
+ for listing in mydata:
|
|
|
+ myresults.append(listing)
|
|
|
+
|
|
|
+ # print(len(myresults))
|
|
|
+ # print(myresults[0].address)
|
|
|
+ gmls.connectdb()
|
|
|
+ gmls.dbinsert(myresults)
|
|
|
+ gmls.closedb()
|
|
|
+
|
|
|
+ gmls.email_results()
|
