烧瓶MongoDB-For Loop无法正常工作 [英] Flask & MongoDB - For Loop not working
问题描述
在Flask中具有此功能:
Having this for Flask:
example = mongo.db.example
got_name = example.find({'name':1})
got_lastname = example.find({'lastname':1})
details = {'name' : got_name, 'lastname' : got_lastname}
return render_template('blabla.html', details=details)
然后在我的HTML中使用Jinja进行for循环(希望将其作为表):
Then the for loop using Jinja in my HTML (wanting it to be a table):
{% for x in details}
<tr>
<td>{{ x.['name'] }}</td>
<td>{{ x.['lastname'] }}</td>
</tr>
{% endfor %}
但是它不起作用,它在我的表中不显示任何内容.我现在在上面写了这个示例,但是我的代码是相似的.
But it won't work, it doesn't display anything in my table. I wrote this example above now, but my code is similar.
推荐答案
您可能要使用 find()
它将光标返回到符合条件的文档. find_one()
返回一个文档,该文档可随后在词典中使用,而不是光标:
You may want to use find_one()
instead of find()
which returns a cursor to the documents which match the criteria. find_one()
returns a single document which can then be used in the dictionary, instead of a cursor:
example = mongo.db.example
doc = example.find_one()
details = { 'name' : doc['name'], 'lastname' : doc['lastname'] }
return render_template('blabla.html', details=details)
或
example = mongo.db.example
details = example.find_one({}, {'name':1, 'lastname':1})
return render_template('blabla.html', details=details)
您的模板将是
<tr>
<td>{{ details['name'] }}</td>
<td>{{ details['lastname'] }}</td>
</tr>
如果要遍历整个集合并返回仅包含 name
和 lastname
字段的文档的列表,则应使用 find()
方法.如果您的数据集相对较小,则以下代码会将整个结果集(游标)转换为列表(所有内容都被拉入内存):
If you want to iterate the whole collection and return a list if documents with just the name
and lastname
fields, then you should use the find()
method.
If you have a relatively small dataset, the following code will convert the entire result set (Cursor) into a list (everything is pulled into memory):
example = mongo.db.example
details = list(example.find({}, {'name': 1, 'lastname': 1}))
return render_template('blabla.html', details=details)
然后遍历模板中的列表
{% for doc in details}
<tr>
<td>{{ doc['name'] }}</td>
<td>{{ doc['lastname'] }}</td>
</tr>
{% endfor %}
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