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settings.py
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settings.py
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import os
## Price
# The minimum rent you want to pay per month.
MIN_PRICE = 1500
# The maximum rent you want to pay per month.
MAX_PRICE = 2000
## Location preferences
# The Craigslist site you want to search on.
# For instance, https://sfbay.craigslist.org is SF and the Bay Area.
# You only need the beginning of the URL.
CRAIGSLIST_SITE = 'sfbay'
# What Craigslist subdirectories to search on.
# For instance, https://sfbay.craigslist.org/eby/ is the East Bay, and https://sfbay.craigslist.org/sfc/ is San Francisco.
# You only need the last three letters of the URLs.
AREAS = ["eby", "sfc", "sby", "nby"]
# A list of neighborhoods and coordinates that you want to look for apartments in. Any listing that has coordinates
# attached will be checked to see which area it is in. If there's a match, it will be annotated with the area
# name. If no match, the neighborhood field, which is a string, will be checked to see if it matches
# anything in NEIGHBORHOODS.
BOXES = {
"adams_point": [
[37.80789, -122.25000],
[37.81589, -122.26081],
],
"piedmont": [
[37.82240, -122.24768],
[37.83237, -122.25386],
],
"rockridge": [
[37.83826, -122.24073],
[37.84680, -122.25944],
],
"berkeley": [
[37.86226, -122.25043],
[37.86781, -122.26502],
],
"north_berkeley": [
[37.86425, -122.26330],
[37.87655, -122.28974],
],
"pac_heights": [
[37.79124, -122.42381],
[37.79850, -122.44784],
],
"lower_pac_heights": [
[37.78554, -122.42878],
[37.78873, -122.44544],
],
"haight": [
[37.77059, -122.42688],
[37.77086, -122.45401],
],
"sunset": [
[37.75451, -122.46422],
[37.76258, -122.50825],
],
"richmond": [
[37.77188, -122.47263],
[37.78029, -122.51005],
],
"presidio": [
[37.77805, -122.43959],
[37.78829, -122.47151],
]
}
# A list of neighborhood names to look for in the Craigslist neighborhood name field. If a listing doesn't fall into
# one of the boxes you defined, it will be checked to see if the neighborhood name it was listed under matches one
# of these. This is less accurate than the boxes, because it relies on the owner to set the right neighborhood,
# but it also catches listings that don't have coordinates (many listings are missing this info).
NEIGHBORHOODS = ["berkeley north", "berkeley", "rockridge", "adams point", "oakland lake merritt", "cow hollow", "piedmont", "pac hts", "pacific heights", "lower haight", "inner sunset", "outer sunset", "presidio", "palo alto", "richmond / seacliff", "haight ashbury", "alameda", "twin peaks", "noe valley", "bernal heights", "glen park", "sunset", "mission district", "potrero hill", "dogpatch"]
## Transit preferences
# The farthest you want to live from a transit stop.
MAX_TRANSIT_DIST = 2 # kilometers
# Transit stations you want to check against. Every coordinate here will be checked against each listing,
# and the closest station name will be added to the result and posted into Slack.
TRANSIT_STATIONS = {
"oakland_19th_bart": [37.8118051,-122.2720873],
"macarthur_bart": [37.8265657,-122.2686705],
"rockridge_bart": [37.841286,-122.2566329],
"downtown_berkeley_bart": [37.8629541,-122.276594],
"north_berkeley_bart": [37.8713411,-122.2849758]
}
## Search type preferences
# The Craigslist section underneath housing that you want to search in.
# For instance, https://sfbay.craigslist.org/search/apa find apartments for rent.
# https://sfbay.craigslist.org/search/sub finds sublets.
# You only need the last 3 letters of the URLs.
CRAIGSLIST_HOUSING_SECTION = 'apa'
## System settings
# How long we should sleep between scrapes of Craigslist.
# Too fast may get rate limited.
# Too slow may miss listings.
SLEEP_INTERVAL = 20 * 60 # 20 minutes
# Which slack channel to post the listings into.
SLACK_CHANNEL = "#housing"
# The token that allows us to connect to slack.
# Should be put in private.py, or set as an environment variable.
SLACK_TOKEN = os.getenv('SLACK_TOKEN', "")
# Any private settings are imported here.
try:
from private import *
except Exception:
pass
# Any external private settings are imported from here.
try:
from config.private import *
except Exception:
pass