Hubspot的在线测试

Job Hunting Interview
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最近收到了HubSpot实习的OA, 请问谁有面经？请大家分享面经？

2

请问你是海投的嘛？@@

3

是海投

4

一直听说hubspot 不错，linkedin上面的排名也很高，工资我查了下glassdoor也不错，在麻省能给和湾区差不多的工资，感觉很好了。
公司文化听说不错，面试和柏林的hr聊天，也很愉快。
HubSpot develops cloud-based, inbound marketing software that allows businesses to transform the way that they market online. 都E轮了 https://www.crunchbase.com/organization/hubspot#section-overview

然后收到了oa，oa是论坛里说过的api类题目，其实难点主要是json的处理，看你对json的library熟练与否。
限时三小时。一开始没准备好，打开后set up environment 花了一些时间，没做完，就算了。整体感觉还是很简单的一个oa。1-2小时内完成比较competitive。
OA就这一题。要求针对每个国家，找出连续的两天，使得该国家可参加的人数最多。
把结果封装成json，POST到第二个API中去，response code为500时，答案正确。
oa 会给你一个token，用来get 和post，这个我就不分享了，我想应该是每个人会有一个独立的token。
你会拿到的json 是这样的

"partners": [
  {
   "firstName": "Darin",
   "lastName": "Daignault",
   "email": "ddaignault@hubspotpartners.com",
   "country": "United States",
   "availableDates": [
     "2017-05-03",
     "2017-05-06"
   },
...

你会拿到很多partner，来自不同的国家。
你要求提交的result是这样的

"countries": [
  {
    "attendeeCount": 1,
    "attendees": [
      "cbrenna@hubspotpartners.com"
    ],
    "name": "Ireland",
    "startDate": "2017 -04-29"
  },
]

然后你需要一个get 拿json 和一个post 返回结果。整体不难的，祝大家好运。

import requests
import json


def get_data(url):
    data = requests.get(url).json()
    return data


def check_consecutive(s1, s2):
    import datetime
    s1 = datetime.datetime.strptime(s1, "%Y-%m-%d")
    s2 = datetime.datetime.strptime(s2, "%Y-%m-%d")
    return (s2 - s1).days == 1


def check_prev(s1, s2):
    import datetime
    s1 = datetime.datetime.strptime(s1, "%Y-%m-%d")
    s2 = datetime.datetime.strptime(s2, "%Y-%m-%d")
    return (s1 - s2).days >= 1


def find_overlap(res, dates, country):
    if not dates:
        res["countries"].append({
            "attendeeCount": 0,
            "attendees": [],
            "name": country,
            "startDate": None
        })

    else:
        best_len = 0
        best_date = ""
        for key in dates:
            if not best_date:
                best_len = max(best_len, len(dates[key]))
                best_date = key
            elif len(dates[key]) > best_len:
                best_len = len(dates[key])
                best_date = key
            # Check whether this day is earlier than the best_date we have so far
            elif len(dates[key]) == best_len and check_prev(best_date, key):
                best_date = key

        res["countries"].append({
            "attendeeCount": len(dates[best_date]),
            "attendees": list(dates[best_date]),
            "name": country,
            "startDate": best_date
        })


def post_data(post_url, get_url):
    from collections import defaultdict
    data = get_data(get_url)
    countries = defaultdict(list)
    for person in data["partners"]:
        country = person["country"]
        countries[country].append(person)
    res = {"countries": []}
    # Sort people by countries
    for country in countries:
        dates = defaultdict(set)
        for person in countries[country]:
            p_date = person["availableDates"]
            for j in range(1, len(p_date)):
                if check_consecutive(p_date[j - 1], p_date[j]):
                    dates[p_date[j - 1]].add(person["email"])
    # Find overlap
    find_overlap(res, dates, country)
    resp = requests.post(post_url, json=res)
    if resp.status_code != 200:
        print(resp.status_code, resp.content)
    print(resp.status_code == 200)


get_url = "https://candidate.hubteam.com/candidateTest/v3/problem/dataset?userKey=1cae96d3904b260d06d0daa7387c"
post_url = "https://candidate.hubteam.com/candidateTest/v3/problem/result?userKey=1cae96d3904b260d06d0daa7387c"
post_data(post_url, get_url)