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所以，我想我要疯了。我正在使用Delorean将 CSV 字段中的字符串转换row[15]为日期，然后将其传递parse()给.epoch. 这是我的进口：

import sys
import os.path
import requests
import json
import csv
import glob2
import shutil
from time import sleep
from time import gmtime, strftime
from delorean import Delorean
from delorean import parse
from delorean import epoch

我现在有这个功能：

def ref_date_epoch():
    ref_date_epoch_result = "{ref_date}000".format(ref_date=int(parse(row[15]).epoch))
    return ref_date_epoch_result

这成功地返回了一个 Unix 时间对象（至少以我可以使用的格式）。但是，当我稍后在我的代码中引用此函数时，就像这样（它作为referral_date键的值位于底部）：

        update_company_payload = {
                    "properties": [
                        {"name":"name", "value": row[0] },
                        {"name":"hubspot_owner_id", "value": hubspot_owner_id },
                        {"name":"account_type", "value": row[2] },
                        {"name":"industry", "value": row[3] },
                        {"name":"product", "value": row[4] },
                        {"name":"address", "value": row[5] },
                        {"name":"address2", "value": row[6] },
                        {"name":"city", "value": row[7] },
                        {"name":"state", "value": row[8] },
                        {"name":"zip", "value": row[9] },
                        {"name":"country", "value": row[10] },
                        {"name":"phone", "value": row[11] },
                        {"name":"website", "value": row[12] },
                        {"name":"credit_safe_limit", "value": row[13] },
                        {"name":"credit_safe_rating", "value": row[14] },
                        {"name":"referral_date", "value": ref_date_epoch() },
                        {"name":"referred_from", "value": row[16] },
                        {"name":"referred_to", "value": row[17] },
                        {"name":"source", "value": row[18] }
                      ]
                }

我明白了：

Traceback (most recent call last):
  File "wta_goldvision_company_import.py", line 187, in <module>
    run()
  File "wta_goldvision_company_import.py", line 183, in run
    update_company(create_company(), get_owner_id())
  File "wta_goldvision_company_import.py", line 162, in update_company
    {"name":"referral_date", "value": ref_date_epoch() },
  File "wta_goldvision_company_import.py", line 141, in ref_date_epoch
    ref_date_epoch_result = "{ref_date}000".format(ref_date=int(parse(row[15]).epoch))
  File "build/bdist.macosx-10.11-intel/egg/delorean/interface.py", line 68, in parse
  File "build/bdist.macosx-10.11-intel/egg/dateutil/parser.py", line 1161, in parse
  File "build/bdist.macosx-10.11-intel/egg/dateutil/parser.py", line 555, in parse
ValueError: String does not contain a date.

为什么该功能可以自己工作，而在其他地方使用时却不行？我试过像这样手动输入日期：

ref_date_epoch_result = "{ref_date}000".format(ref_date=int(parse("23/12/2015").epoch))

它工作正常。为什么dateutil解析函数在 JSON 有效负载之外做它的事情没有问题，但是一旦它在那个东西内部被引用，它似乎无法将值解释row[15]为一个字符串——我错过了什么？

最新回溯：

23/03/2015
Hermes Transport Logistics GMBH updated successfully.

Traceback (most recent call last):
  File "wta_goldvision_company_import.py", line 187, in <module>
    run()
  File "wta_goldvision_company_import.py", line 183, in run
    update_company(create_company(), get_owner_id())
  File "wta_goldvision_company_import.py", line 162, in update_company
    {"name":"referral_date", "value": ref_date_epoch(row[15]) },
  File "wta_goldvision_company_import.py", line 142, in ref_date_epoch
    return "{ref_date}000".format(ref_date=int(parse(datestr).epoch))
  File "build/bdist.macosx-10.11-intel/egg/delorean/interface.py", line 68, in parse
  File "build/bdist.macosx-10.11-intel/egg/dateutil/parser.py", line 1161, in parse
  File "build/bdist.macosx-10.11-intel/egg/dateutil/parser.py", line 555, in parse
ValueError: String does not contain a date.

这是上面所驻留的整个函数（它又是一个更大的整体的一部分）：

def update_company( company_id, hubspot_owner_id ):

    # Allows HubSpot 15 seconds to reflect the changes made by the create_company() and get_owner_id() functions.
    sleep(15.0)

    # Open the CSV, use commas as delimiters, store it in a list called "data", then find the length of that list.
    with open(os.path.basename(theCSV),"r") as f:
        reader = csv.reader(f, delimiter = ",", quotechar="\"")
        next(reader)
        for row in reader:

            def ref_date_epoch(datestr):
                print(datestr)
                return "{ref_date}000".format(ref_date=int(parse(datestr).epoch))

            # Set up the JSON payload ...
            update_company_payload = {
                        "properties": [
                            {"name":"name", "value": row[0] },
                            {"name":"hubspot_owner_id", "value": hubspot_owner_id },
                            {"name":"account_type", "value": row[2] },
                            {"name":"industry", "value": row[3] },
                            {"name":"product", "value": row[4] },
                            {"name":"address", "value": row[5] },
                            {"name":"address2", "value": row[6] },
                            {"name":"city", "value": row[7] },
                            {"name":"state", "value": row[8] },
                            {"name":"zip", "value": row[9] },
                            {"name":"country", "value": row[10] },
                            {"name":"phone", "value": row[11] },
                            {"name":"website", "value": row[12] },
                            {"name":"credit_safe_limit", "value": row[13] },
                            {"name":"credit_safe_rating", "value": row[14] },
                            {"name":"referral_date", "value": ref_date_epoch(row[15]) },
                            {"name":"referred_from", "value": row[16] },
                            {"name":"referred_to", "value": row[17] },
                            {"name":"source", "value": row[18] }
                          ]
                    }
            #'https://api.hubapi.com/companies/v2/companies/10444744?hapikey=demo'
            update_company_call = "https://api.hubapi.com/companies/v2/companies/{created_company_id}?hapikey={hapikey}".format(hapikey=wta_hubspot_api_key, created_company_id=company_id)
            headers = {'content-type': 'application/json'}
            data = json.dumps(update_company_payload)
            update_company_response = requests.put(update_company_call, data=data, headers=headers)
            #print(json.dumps(update_company_response.json(), sort_keys=True, indent=4))
            #print (update_company_response.status_code)
            if update_company_response.status_code == 200:
                print("{companyName} updated successfully.".format(companyName=row[0]))
            else:
                print("Something went wrong with the {companyName} update.".format(companyName=row[0]))
                print(json.dumps(update_company_response.json(), sort_keys=True, indent=4))
4

2 回答 2

0

似乎row[15]在None某一行。CSV 文件中的空值可能是什么？

此外，您可以ref_date_epoch在循环外定义函数。

老答案：

与其放入函数row[15]内部ref_date_epoch，不如将其作为参数。

def ref_date_epoch(datestr):
    return "{ref_date}000".format(ref_date=int(parse(datestr).epoch))

然后

...
{"name":"referral_date", "value": ref_date_epoch(row[15])},
...
于 2016-03-17T12:10:07.563 回答
0

解决方案：

事实证明，精神疲劳让我们所有人都傻了 - 我正在循环浏览一个 CSV，显然第一行，我的测试行，结果是一段时间内唯一实际包含日期的行，因此它为什么在它崩溃时崩溃到了第二排。所以我将ref_date_epoch函数修改为：

        def ref_date_epoch(datestr):
            if len(datestr) > 0:
                return "{ref_date}000".format(ref_date=int(parse(datestr).epoch))
            else:
                None
于 2016-03-21T12:30:59.187 回答