Python 执行函数时循环中断

我的代码如下：

def scrapeFacebookPageFeedStatus(access_token):

    query = "SELECT page_id FROM falken"

    result_list = c.execute(query)

    for single_row in result_list:

        str_single_row = str(single_row)

        str_norm_single_row = str_normalize(str_single_row)

        print(str_norm_single_row)

当我执行上面的代码时，它会显示结果列表中的每一行值

但当我将单行传递给如下函数时：

def scrapeFacebookPageFeedStatus(access_token):

    query = "SELECT page_id FROM falken"

    result_list = c.execute(query)

    for single_row in result_list:

        str_single_row = str(single_row)

        str_norm_single_row = str_normalize(str_single_row)

        print(str_norm_single_row)

        statuses = getFacebookPageFeedData(str_norm_single_row, access_token, 100)

        for status in statuses['data']:

            query = "INSERT INTO falken_posts VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"

            c.execute(query,(processFacebookPageFeedStatus(status, access_token)))

            conn.commit()

它只将单行的第一个值传递给函数，循环停止

getFacebookPageFeedData函数

def getFacebookPageFeedData(page_id, access_token, num_statuses):

base = "https://graph.facebook.com/v2.6"
node = "/%s/posts" % page_id 
fields = "/?fields=message,link,created_time,type,name,id," + \
        "comments.limit(0).summary(true),shares,reactions" + \
        ".limit(0).summary(true)"
parameters = "&limit=%s&access_token=%s" % (num_statuses, access_token)
url = base + node + fields + parameters

# retrieve data
data = json.loads(request_until_succeed(url))

return data

def processFacebookPageFeedStatus(status, access_token):

    status_id = status['id']
    status_message = '' if 'message' not in status.keys() else \
        unicode_normalize(status['message'])
    link_name = '' if 'name' not in status.keys() else \
        unicode_normalize(status['name'])
    status_type = status['type']
    status_link = '' if 'link' not in status.keys() else \
        unicode_normalize(status['link'])

    status_published = datetime.datetime.strptime(
        status['created_time'],'%Y-%m-%dT%H:%M:%S+0000')
    status_published = status_published + \
        datetime.timedelta(hours=-5) # EST
    status_published = status_published.strftime(
        '%Y-%m-%d %H:%M:%S')

    num_reactions = 0 if 'reactions' not in status else \
        status['reactions']['summary']['total_count']
    num_comments = 0 if 'comments' not in status else \
        status['comments']['summary']['total_count']
    num_shares = 0 if 'shares' not in status else status['shares']['count']

    reactions = getReactionsForStatus(status_id, access_token) if \
        status_published > '2016-02-24 00:00:00' else {}

    num_likes = 0 if 'like' not in reactions else \
        reactions['like']['summary']['total_count']

    num_likes = num_reactions if status_published < '2016-02-24 00:00:00' \
        else num_likes

它从Facebook Graph API检索页面帖子的数据

processFacebookPageFeedStatus功能

def getFacebookPageFeedData(page_id, access_token, num_statuses):

base = "https://graph.facebook.com/v2.6"
node = "/%s/posts" % page_id 
fields = "/?fields=message,link,created_time,type,name,id," + \
        "comments.limit(0).summary(true),shares,reactions" + \
        ".limit(0).summary(true)"
parameters = "&limit=%s&access_token=%s" % (num_statuses, access_token)
url = base + node + fields + parameters

# retrieve data
data = json.loads(request_until_succeed(url))

return data

def processFacebookPageFeedStatus(status, access_token):

    status_id = status['id']
    status_message = '' if 'message' not in status.keys() else \
        unicode_normalize(status['message'])
    link_name = '' if 'name' not in status.keys() else \
        unicode_normalize(status['name'])
    status_type = status['type']
    status_link = '' if 'link' not in status.keys() else \
        unicode_normalize(status['link'])

    status_published = datetime.datetime.strptime(
        status['created_time'],'%Y-%m-%dT%H:%M:%S+0000')
    status_published = status_published + \
        datetime.timedelta(hours=-5) # EST
    status_published = status_published.strftime(
        '%Y-%m-%d %H:%M:%S')

    num_reactions = 0 if 'reactions' not in status else \
        status['reactions']['summary']['total_count']
    num_comments = 0 if 'comments' not in status else \
        status['comments']['summary']['total_count']
    num_shares = 0 if 'shares' not in status else status['shares']['count']

    reactions = getReactionsForStatus(status_id, access_token) if \
        status_published > '2016-02-24 00:00:00' else {}

    num_likes = 0 if 'like' not in reactions else \
        reactions['like']['summary']['total_count']

    num_likes = num_reactions if status_published < '2016-02-24 00:00:00' \
        else num_likes

def processFacebookPageFeedStatus（状态，访问令牌）：
status_id=status['id']
状态\消息=“”如果“消息”不处于状态。keys（）否则\
unicode_规范化（状态['message']）
如果“name”不处于状态，则link_name=''。keys（）否则\
unicode_规范化（状态['name']）
状态\类型=状态['type']
如果'link'未处于状态，则状态为\'link=''。keys（）否则\
unicode_规范化（状态['link']）
状态_published=datetime.datetime.strtime(
状态['created_time']，“%Y-%m-%dT%H:%m:%S+0000”）
状态_已发布=状态_已发布+\
datetime.timedelta（小时=-5）#EST
status_published=status_published.strftime(
“%Y-%m-%d%H:%m:%S”）
如果“反应”不处于其他状态，则num_reactions=0\
状态['reactions']['summary']['total_count']
如果“注释”不处于其他状态，则num_comments=0\
状态['comments']['summary']['total_count']
num_shares=0，如果“shares”未处于其他状态['shares']['count']
反应=getReactionsForStatus（状态\u id，访问\u令牌）如果\
状态发布>'2016-02-24 00:00:00'其他{}
num_likes=0，如果“like”不在其他选项中\
反应['like']['summary']['total_count']
num_likes=发布状态时的num_反应<'2016-02-24 00:00:00'\
还有你喜欢的吗

---

它存储来自status字典的所需数据，并将其存储到变量中以插入数据库。

sqlite的

游标。execute（）

返回游标本身。因此，在这一行之后：

result_list = c.execute(query)

result\u list

实际上是

c

的别名

现在开始在

c

上迭代：

for single_row in result_list:
    # code here

然后再次调用

c.execute（）

：

    query = "INSERT INTO falken_posts VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"
    c.execute(query,(processFacebookPageFeedStatus(status, access_token)))

它将丢弃带有此新查询结果的

c

以前的结果集。由于此查询不选择任何内容，

c

将成为一个空迭代器，循环将停止在那里

解决方法简单明了：使用另一个光标进行插入查询，这样就不会覆盖

c

的结果集：

# create a second cursor for insert statements
writer = conn.cursor()
# no need to recreate this same string anew for each iteration, 
# we can as well define it here once for all
insert_query = "INSERT INTO falken_posts VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"

# no need for result_list - just iterate over `c` 
c.execute(query)
for single_row in c:
    # code here
    writer.execute(insert_query,(processFacebookPageFeedStatus(status, access_token)))

---

作为补充说明，如果性能是一个问题，您也可能只希望在整个循环之后提交一次，而不是在每个insert语句之后提交一次。

什么是“c”？？请修复代码缩进。@Brunodesshuilliers c是sqlite游标什么是

getFacebookPageFeedData

和

processFacebookPageFeedStatus

？请编辑您的帖子，给出一个答案。现在还不清楚这里到底出了什么问题，代码中有很多未知项，还有不正确的缩进。@Langitar缩进很好，当我执行代码时，我不知道IndentationError@JeremyCenteno很高兴我能帮上忙——请别忘了接受回复；）