本文整理汇总了Python中API.get_channel_history方法的典型用法代码示例。如果您正苦于以下问题：Python API.get_channel_history方法的具体用法？Python API.get_channel_history怎么用？Python API.get_channel_history使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类API的用法示例。
在下文中一共展示了API.get_channel_history方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: import API [as 别名]
# 或者: from API import get_channel_history [as 别名]
def main():
# Change the current working directory to the directory the script is located in
# Don't know why this wasn't the default behavior...
if len(os.path.dirname(sys.argv[0])) > 0:
os.chdir(os.path.dirname(sys.argv[0]))
# dictionary mapping Restaurant to Restaurant
restaurants = {}
lunch_channel_json = API.get_channel_history(channel_id=LUNCH_DELIVERY, count=1000)
id_to_rest_name_dict = json_file_to_dic('rest_ids.json')
rest_name_to_id_dict = reverse_dic(id_to_rest_name_dict)
# gather official list of restuarants
official_rest_name_list = id_to_rest_name_dict.values()
# Using two separate regexes will help us identify restaurants with 'and' in their name more reliably
# as we have to split multi-restaurant lists around the word 'and'
single_rest_regex = re.compile('(?i)^<!group>\s(.*)\sis(?! not)(?:[a-z\s]+)?\shere.?$')
multiple_rest_regex = re.compile('(?i)^<!group>\s(.*)\sare(?! not)(?:[a-z\s]+)?\shere.?$')
single_rest_msgs = filter(
lambda message: single_rest_regex.match(message['text']) is not None,
lunch_channel_json['messages']
)
multiple_rest_msgs = filter(
lambda message: multiple_rest_regex.match(message['text']) is not None,
lunch_channel_json['messages']
)
for msg in single_rest_msgs:
rest_name = single_rest_regex.match(msg['text']).group(1).strip()
rest_name = clean_restaurant_name(rest_name)
if rest_name in rest_name_to_id_dict:
rest_id = rest_name_to_id_dict[rest_name]
add_restaurant(restaurants, rest_name, rest_id, msg)
for msg in multiple_rest_msgs:
rest_name_str = multiple_rest_regex.match(msg['text']).group(1)
# Regex note: & signs come in through the API as &
rest_name_list = re.split("(?i),\s?(?:and|&)?\s|\s(?:and|&)\s", rest_name_str)
rest_name_list = clean_rest_list(rest_name_list)
for rest_name in rest_name_list:
if rest_name in rest_name_to_id_dict:
rest_id = rest_name_to_id_dict[rest_name]
add_restaurant(restaurants, rest_name, rest_id, msg)
rests_list = restaurants.values()
rests_list.sort(key=lambda rest: len(rest.unix_timestamps))
for rest in rests_list:
print rest
write_averages_json_file(rests_list)