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wes
2024-05-20 12:20:38 -04:00
commit 0ce13cf8a4
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#!/usr/bin/env python3
from datetime import datetime, date
import json, requests, psycopg2, logging
from psycopg2 import sql
ATTRACTIONS_IO_ENDPOINT = "https://live-data.attractions.io/72f0ea9e-d196-508a-bee8-cce62c3228c7.json"
DISCORD_WEBHOOK = 'https://discord.com/api/webhooks/878651005015842827/o_KXXiPgor-DhZQ9vgL-MNOYb-RDmQCAbuYmgUpsoEOqu3XCfBdUM6rDmF1cMrZg12b0'
db_params = {
'dbname': 'gp0',
'user': 'kuhnobowls',
'password': 'saddog095',
'host': '192.168.88.5',
'port': '5432',
'options': '-c search_path=knoebels'
}
park_hours_query = """
SELECT *
FROM knoebels."LZ_attractions_io_resort"
ORDER BY datestamp DESC
LIMIT 1
"""
def send_to_discord(message):
# The payload to send to the webhook
data = {
"content": message
}
try:
# Send the POST request to the webhook URL
response = requests.post(DISCORD_WEBHOOK, json=data)
# Check if the request was successful
if response.status_code == 204:
print("Message sent successfully.")
else:
print(f"Failed to send message. Status code: {response.status_code}, Response: {response.text}")
except requests.exceptions.RequestException as e:
print(f"Error sending message: {e}")
def log_to_database(table_name, data):
with psycopg2.connect(**db_params) as conn:
with conn.cursor() as cursor:
columns = len(data[0])
query = sql.SQL("INSERT INTO {table} VALUES ({values})").format(
table=sql.Identifier(table_name),
values=sql.SQL(', ').join(sql.Placeholder() * columns)
)
cursor.executemany(query, data)
conn.commit()
def generic_query(q):
ret = []
with psycopg2.connect(**db_params) as conn:
with conn.cursor() as cursor:
cursor.execute(q)
rows = cursor.fetchall()
col_names = [desc[0] for desc in cursor.description]
for row in rows:
ret.append(row)
return ret
def fetch_webpage(url):
HEADERS = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:124.0) Gecko/20100101 Firefox/124.0',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'DNT': '1',
'Sec-GPC': '1',
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1',
'Sec-Fetch-Dest': 'document',
'Sec-Fetch-Mode': 'navigate',
'Sec-Fetch-Site': 'none',
'Sec-Fetch-User': '?1',
}
try:
response = requests.get(url, headers=HEADERS)
if response.status_code == 200:
return response.json()
else:
return f"Error: {response.status_code} - Unable to fetch webpage"
except Exception as e:
return f"Error: {str(e)} - Unable to fetch webpage"
def pull_data_and_log(log_park_hours):
json_data = fetch_webpage(ATTRACTIONS_IO_ENDPOINT)
try:
park_opens = json.loads(json_data['entities']['Resort']['records'][0]['OpeningTimes'])['start']
park_closes = json.loads(json_data['entities']['Resort']['records'][0]['OpeningTimes'])['end']
except KeyError as e:
logging.error('Unable to pull park hours. Is the park open today?')
return
resort_data = [[datetime.now(), json_data['entities']['Resort']['records'][0]['_id'], park_opens, park_closes]]
if log_park_hours:
log_to_database('LZ_attractions_io_resort', resort_data)
attraction_data = []
for attraction in json_data['entities']['Item']['records']:
try:
isOperational = attraction['IsOperational']
except:
isOperational = None
try:
QueueTime = attraction['QueueTime']
except:
QueueTime = None
try:
QueueStatusMessage = attraction['QueueStatusMessage']
except:
QueueStatusMessage = None
try:
IsOpen = attraction['IsOpen']
except:
IsOpen = None
try:
OpeningTimes = json.loads(attraction['OpeningTimes'])
start = OpeningTimes['start']
end = OpeningTimes['end']
except:
start = None
end = None
row = [attraction['_id'], isOperational, QueueTime, QueueStatusMessage, IsOpen, start, end, datetime.now()]
attraction_data.append(row)
queueline_data = []
for queue in json_data['entities']['QueueLine']['records']:
row = [datetime.now(), queue['_id'], queue['QueueTime']]
queueline_data.append(row)
log_to_database('LZ_attractions_io', attraction_data)
log_to_database('LZ_attractions_io_queuetimes', queueline_data)# LZ_attractions_io_queuetimes
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s', level=logging.DEBUG, filename="/home/hoid/git_repos/kuh-no-bowls/knb.log",filemode="a")
logging.info('--------------------------------------------------------------------------------')
logging.info('Fetching most recent park hours entry from DB...')
park_hours_pull = generic_query(park_hours_query)[0]
logging.debug('%s - %s', park_hours_pull[2], park_hours_pull[3])
if park_hours_pull[2].date() == date.today():
logging.info('Park hours for today already in DB')
park_opens = park_hours_pull[2]
park_closes = park_hours_pull[3]
if park_opens <= datetime.now() <= park_closes:
pull_data_and_log(False)
else:
logging.info('Park not currently open. Exiting...')
else:
logging.info('Park hours for today not in DB')
pull_data_and_log(True)
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'''
Importing POI data from attractions.io api
'''
#!/usr/bin/env python3
from datetime import datetime, date
import json, requests, psycopg2
from psycopg2 import sql
db_params = {
'dbname': 'gp0',
'user': 'kuhnobowls',
'password': 'saddog095',
'host': '192.168.88.5',
'port': '5432',
'options': '-c search_path=knoebels'
}
def log_to_database(table_name, data):
with psycopg2.connect(**db_params) as conn:
with conn.cursor() as cursor:
columns = len(data[0])
query = sql.SQL("INSERT INTO {table} VALUES ({values})").format(
table=sql.Identifier(table_name),
values=sql.SQL(', ').join(sql.Placeholder() * columns)
)
cursor.executemany(query, data)
conn.commit()
def generic_query(q):
ret = []
with psycopg2.connect(**db_params) as conn:
with conn.cursor() as cursor:
cursor.execute(q)
rows = cursor.fetchall()
col_names = [desc[0] for desc in cursor.description]
for row in rows:
ret.append(row)
return ret
data = None
with open('records.json', 'r', encoding='utf-8') as file:
data = json.load(file)
rows = []
for poi in data['Item']:
aoi_id = poi['_id']
Name = poi['Name']
AbbreviatedName = poi['AbbreviatedName']
Summary = poi['Summary']
Keywords = poi['Keywords']
DefaultImage = poi['DefaultImage']
Location = poi['Location']
Featured = poi['Featured']
WayfindingEnabled = poi['WayfindingEnabled']
VisibleOnMap = poi['VisibleOnMap']
Category = poi['Category']
Parent = poi['Parent']
try:
MenuURL = poi['MenuURL']
except:
MenuURL = None
try:
MinimumHeightRequirement = poi['MinimumHeightRequirement']
except:
MinimumHeightRequirement = None
try:
MinimumUnaccompaniedHeightRequirement = poi['MinimumUnaccompaniedHeightRequirement']
except:
MinimumUnaccompaniedHeightRequirement = None
try:
MaximumHeightRequirement = poi['MaximumHeightRequirement']
except:
MaximumHeightRequirement = None
try:
MinimumAgeRequirement = poi['MinimumAgeRequirement']
except:
MinimumAgeRequirement = None
try:
MinimumUnaccompaniedAgeRequirement = poi['MinimumUnaccompaniedAgeRequirement']
except:
MinimumUnaccompaniedAgeRequirement = None
try:
MaximumAgeRequirement = poi['MaximumAgeRequirement']
except:
MaximumAgeRequirement = None
try:
RestrictionSummary = poi['RestrictionSummary']
except:
RestrictionSummary = None
row = [aoi_id, Name, AbbreviatedName, Summary, Keywords, DefaultImage, Location, Featured, WayfindingEnabled, VisibleOnMap, Category, Parent, MenuURL, MinimumHeightRequirement, MinimumUnaccompaniedHeightRequirement, MaximumHeightRequirement, MinimumAgeRequirement, MinimumUnaccompaniedAgeRequirement, MaximumAgeRequirement, RestrictionSummary]
rows.append(row)
cats = []
for cat in data['Category']:
aoi_id = cat['_id']
Name = cat['Name']
Parent = cat['Parent']
row = [aoi_id, Name, Parent]
cats.append(row)
log_to_database('LZ_attractions_io_categories', cats)
#log_to_database('LZ_attractions_io_poi', rows)
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--Using CTE to remove rows where nothing changed
WITH livedata as (
SELECT _id,
is_operational,
queue_time,
queue_status_message,
is_open,
open_time,
close_time,
MIN(time_stamp) as time_stamp
FROM knoebels."LZ_attractions_io" as livedata
GROUP BY _id, is_operational, queue_time, queue_status_message, is_open, open_time, close_time
)
SELECT livedata.time_stamp
,livedata._id
,poi.name
,prices.price
,is_operational
,queue_time
,queue_status_message
,is_open
,open_time
,close_time
,hand_stamp_included
,bargain_night_included
,capacity
,duration
,summary
,keywords
,default_image
,location
,featured
,wayfinding_enabled
,visible_on_map
,category
,ceil(minimum_height_requirement*39.37) AS minimum_height_requirement
,ceil(minimum_unaccompanied_height_requirement*39.37) AS minimum_unaccompanied_height_requirement
,ceil(maximum_height_requirement*39.37) AS maximum_height_requirement
,minimum_age_requirement
,minimum_unaccompanied_age_requirement
,maximum_age_requirement
,restriction_summary
--FROM knoebels."LZ_attractions_io" AS livedata
FROM livedata
JOIN knoebels."LZ_attractions_io_poi" AS poi ON livedata._id = poi._id
JOIN knoebels.ride_master rm ON livedata._id = rm.attractions_dot_io_id
JOIN (SELECT row_number() OVER (PARTITION BY ride ORDER BY time_stamp DESC) AS row_number, * FROM knoebels.ride_data_in) prices ON prices.ride = rm.ride and prices.row_number = 1
--ORDER BY name, time_stamp
--where name = 'Sklooosh'
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#!/usr/bin/env python3
from datetime import datetime
import json, re, requests, psycopg2
RIDE_PAGE = "https://www.knoebels.com/ride"
PATTERN = r'ride-list-item" data-ride="(?P<ride>[\S\s]+?)"[\S\s]+?rounded">\$(?P<price>\d\.\d{2})'
db_params = {
'dbname': 'gp0',
'user': 'kuhnobowls',
'password': 'saddog095',
'host': '192.168.88.5',
'port': '5432'
}
insert_query = """
INSERT INTO knoebels.ride_data_in (time_stamp, ride, price)
VALUES (%s, %s, %s)
"""
def generic_query(q):
ret = {}
with psycopg2.connect(**db_params) as conn:
with conn.cursor() as cursor:
cursor.execute(q)
rows = cursor.fetchall()
col_names = [desc[0] for desc in cursor.description]
for row in rows:
ret[row[1]] = row[2]
return ret
def log_to_database(ride, price):
data = [datetime.now(), ride, price]
# Connect to the database using a context manager
with psycopg2.connect(**db_params) as conn:
with conn.cursor() as cursor:
cursor.execute(insert_query, data)
conn.commit()
def fetch_webpage(url):
HEADERS = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:124.0) Gecko/20100101 Firefox/124.0',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'DNT': '1',
'Sec-GPC': '1',
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1',
'Sec-Fetch-Dest': 'document',
'Sec-Fetch-Mode': 'navigate',
'Sec-Fetch-Site': 'none',
'Sec-Fetch-User': '?1',
}
try:
response = requests.get(url, headers=HEADERS)
if response.status_code == 200:
return response.text
else:
return f"Error: {response.status_code} - Unable to fetch webpage"
except Exception as e:
return f"Error: {str(e)} - Unable to fetch webpage"
current_values = generic_query("SELECT * FROM knoebels.ride_data_in")
html = fetch_webpage(RIDE_PAGE) # fetch page
matches = re.finditer(PATTERN, html) # run regex
data = []
for match in matches:
data.append({'ride':match.group('ride').replace(' ', '_').lower(), 'price':match.group('price')}) # regex grabs number of bytes, cast to integer and divide by 1,073,741,824
for r in data:
current_price = float(r["price"])
try:
old_price = float(current_values[r["ride"]])
except:
old_price = -1.0
if current_price != old_price:
print("New price for: ", r["ride"], current_price, ", Old Price: ", old_price)
log_to_database(r["ride"], r["price"])