我在sqlalchemy + postgres查询中遇到重复的结果。我的模型结构如下:
class Audio(db.Model):
__tablename__ = "audio"
id = db.Column(db.Integer, primary_key=True)
file_location = db.Column(db.String(), unique=True)
upload_time = db.Column(ArrowType, default=arrow.utcnow())
keyword = db.Column(JSON)
transcript = db.Column(JSON)
diarization = db.Column(JSON)
user_id = db.Column(db.Integer, db.ForeignKey('user.id', onupdate='cascade', ondelete='cascade'))
company_id = db.Column(db.Integer, db.ForeignKey('company.id', onupdate='cascade', ondelete='cascade'))
client_id = db.Column(db.Integer, db.ForeignKey('client.id', onupdate='cascade', ondelete='cascade'))
def __init__(self, file_location, upload_time, keyword, transcript, diarization, user_id, company_id, client_id):
self.file_location = file_location
self.upload_time = upload_time
self.keyword = keyword
self.transcript = transcript
self.diarization = diarization
self.user_id = user_id
self.company_id = company_id
self.client_id = client_id
def __repr__(self):
return '<Audio ID %r>' % self.id
在记录下,输入是一个json对象:
{"transcript": [
{"p": 0, "s": 0, "e": 320, "c": 0.545, "w": "This"},
{"p": 1, "s": 320, "e": 620, "c": 0.825, "w": "call"},
{"p": 2, "s": 620, "e": 780, "c": 0.909, "w": "is"},
{"p": 3, "s": 780, "e": 1010, "c": 0.853, "w": "being"}
...
]}
我正在尝试根据&#34; w&#34;中的值来过滤条目。并查询其相应的Audio.id和&#34; p&#34;。我尝试过以下方法:
transcript_subquery = s.query(func.json_array_elements(Audio.transcript['transcript']).label('transcript')).subquery()
temp = transcript_subquery.c.transcript.op('->>')('w').cast(String)
temp1 = transcript_subquery.c.transcript.op('->>')('s').cast(Integer)
query = s.query(temp1, Audio.id).filter(temp.ilike("all"))
我遇到的问题是,我现在只有5个数据条目,其中一个数据条目的成绩单字段为空白。但是,我得到的结果包含以下内容:
(665610, 5), (736413, 5), (907230, 5), (942340, 5), (1020852, 5), (1023942, 5), (1037101, 5), (1078521, 5), (1105581, 5), (1117551, 5), (1372730, 5), (1501960, 5), (1508410, 5)
如果给出Audio.id = 5的条目甚至没有transcript json对象,那么它产生这样的结果真的很奇怪。而且,所有条目,每个都有112个结果。我怀疑112是该单词出现的总数,它有点重复计算每个音频ID的所有内容。而且我真的不知道如何修复我的sqlalchemy查询。