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fs_list_data.py
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fs_list_data.py
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import functools
import os.path
import numpy as np
import pandas as pd
from pandas import DataFrame
import fs_api
from common import read_from_json, write_to_json
def cache_as_json(json_fname):
def decorate(func):
@functools.wraps(func)
def read_or_store_as_json(*args, **kwargs):
if os.path.exists(json_fname):
return read_from_json(json_fname)
else:
data = func(*args, **kwargs)
write_to_json(data, json_fname)
return data
return read_or_store_as_json
return decorate
def cache_df_as_json(json_fname):
def decorate(func):
@functools.wraps(func)
def read_or_store_df_as_json(*args, **kwargs):
if os.path.exists(json_fname):
return pd.read_json(json_fname)
else:
data_frame = func(*args, **kwargs)
data_frame.to_json(json_fname)
return data_frame
return read_or_store_df_as_json
return decorate
@cache_as_json('user_lists.json')
def retrieve_user_lists(fs_session, user_id):
return fs_session.user_lists(user_id)
@cache_df_as_json('list_items.json')
def retrieve_fs_lists(fs_session, user_id, list_ids):
list_items = []
for list_id in list_ids:
list_items.append(retrieve_fs_list(fs_session, list_id))
list_items.append(
retrieve_fs_list(fs_session, '{}/todos'.format(user_id)))
list_items_df = pd.concat(list_items, ignore_index=True)
return list_items_df
def retrieve_fs_list(fs_session, list_id):
limit = 200
offset = 0
list_pages = []
list_json = fs_session.fs_list(list_id, offset=offset)
list_items = list_json['response']['list']['listItems']
list_size = list_items['count']
list_pages.append(DataFrame(list_items['items']))
remaining_in_list = list_size - limit
while remaining_in_list > 0:
offset += limit
list_json = fs_session.fs_list(list_id, offset=offset)
list_items = list_json['response']['list']['listItems']
list_pages.append(DataFrame(list_items['items']))
remaining_in_list -= limit
list_df = pd.concat(list_pages, ignore_index=True)
return list_df
@cache_df_as_json('venues.json')
def clean_venues(list_items_df):
venues_df = DataFrame(
list_items_df['venue'].dropna().tolist(),
columns=(
'categories', 'closed', 'id', 'location', 'name', 'price',
'rating'))
# Remove duplicate venues
venues_df.drop_duplicates('id', inplace=True)
# Set index as the venue ID
venues_df.set_index('id', drop=False, inplace=True)
# Remove closed venues
venues_df.closed = venues_df.closed.fillna(False).astype(np.bool)
venues_df = venues_df[~venues_df.closed]
venues_df.drop('closed', axis=1, inplace=True)
# Convert category dicts to the names of the categories
venues_df.categories = venues_df.categories.map(lambda l: l[0].get('name'))
venues_df.rename(columns={'categories': 'category'}, inplace=True)
# Convert location info
venues_df.loc[:, 'address'] = venues_df.location.dropna().map(
lambda d: '\n'.join(d.get('formattedAddress')))
venues_df.loc[:, 'lat'] = venues_df.location.dropna().map(
lambda d: d.get('lat'))
venues_df.loc[:, 'lng'] = venues_df.location.dropna().map(
lambda d: d.get('lng'))
venues_df.loc[:, 'city'] = venues_df.location.dropna().map(
lambda d: d.get('city'))
venues_df.loc[:, 'state'] = venues_df.location.dropna().map(
lambda d: d.get('state'))
venues_df.loc[:, 'postal_code'] = venues_df.location.dropna().map(
lambda d: d.get('postalCode'))
venues_df.loc[:, 'city_state'] = venues_df.apply(
lambda r: '{}, {} {}'.format(r['city'], r['state'], r['postal_code']),
axis=1)
venues_df.drop('location', axis=1, inplace=True)
# Convert prices to a series of $'s based on the price tier, a la Yelp ($,
# $$, $$$, $$$$)
venues_df.price = venues_df.price.dropna().map(
lambda d: '$' * d['tier'] if 'tier' in d else None)
venues_df.price = venues_df.price.fillna('?')
return venues_df
def main():
token_json = read_from_json('oauth_token.json')
fs_config = read_from_json('fs_list_data_config.json')
fs_session = fs_api.FoursquareSession(token_json['access_token'])
user_lists_response = retrieve_user_lists(fs_session, fs_config['user_id'])
user_lists_df = DataFrame(
user_lists_response['response']['lists']['items'])
list_ids = user_lists_df['id']
list_items_df = retrieve_fs_lists(
fs_session, fs_config['user_id'], list_ids)
clean_venues(list_items_df)
if __name__ == '__main__':
main()