Question

如果我尝试使用pymongo在mongodb中包含变音字符（ñ）的更新值，则会抛出

strings in documents must be valid UTF-8: "ccopy_reg\n_reconstructor\np0\n(ctextblob.cla...

我尝试编码手册：

        enc='UTF-8'  
        content = request.get_data() # raw encoded content
        u_content = content.decode(enc) # decodes from enc to unicode
        utf8_content = u_content.encode("UTF-8")

如果我使用而不是enc ='UTF-8'其他编码它工作，但变音字符是错误的。如果我不尝试解码和编码我得到相同的异常

所有代码：

try:
    # Load params arriving as json data
    enc='UTF-8'  
    content = request.get_data() # raw encoded content
    print repr(content)
    u_content = content.decode(enc) # decodes from enc to unicode
    utf8_content = u_content.encode('UTF-8')
    params = json.loads(utf8_content)
    # Check all parameters
    customer_id = params.get('customer', '')
    check_credentials(customer_id, params.get('apikey', ''))
    collection_id = params.get('collection', '')
    if not collection_id or not str(collection_id).isdigit():
        raise Exception, "Invalid collection"
    train_records = params.get('train', [])    
    if not train_records:
        raise Exception, "Train records are needed in the 'train' parameter"
    # Store the trained classifier in database for a better performance
    train_records = map(lambda x: x.values(), train_records)
    cl = NaiveBayesClassifier(train_records)
    pk = '%s__%i' % (customer_id, collection_id)
    data = {'_id': pk, 'customer': customer_id, 'collection': collection_id, 'classifier': pickle.dumps(cl), 'train':train_records}
    if db.classifiers.find_one({'_id': pk}):
        db.classifiers.update({'_id': pk}, data)
    else:
        db.classifiers.insert(data)
    print 'ok'
    # Asyncronously increase usage count in order to check rate limits
    gevent.spawn(increase_usage, customer_id)

except Exception as e:
    print e

这里我有异常db.classifiers.update({'_id': pk}, data)

此行后params = json.loads(utf8_content) - 从\ xc3 \ xb1转换为u'\ xf1'

Python 2.7 pymongo无法使用变音符号更新值

0 个答案: