I'm using sqlalchemy 1.3.18. I'm trying to write an app that looks at data
from an ORM declarative table without necessarily knowing the table
definition.
What I am looking for is a way to get a single object (row in resultSet),
having the name of column[1] is "lastname", and having "lastname" as a
string in memory, how can I get the value of the "lastname" field from the
row in resultSet?
It's easy if I know in code that the row has a lastname property and I can
use row.lastname but I want to do something like row["lastname"] or
row.columns["lastname"] if there's a way.
I'm using reflection to get the columns for the table. Here's some code I
tried:
class Users(Base):
__tablename__ = 'users'
userid = Column(String(80), primary_key=True)
lastname = Column(String(40), nullable=False)
firstname = Column(String(40), nullable=False)
emailaddress = Column(String(80), nullable=False)
def ReflectTableColumns(DbEngine, meta, targetTable):
tableschema = Table(targetTable, meta, autoload=True,
autoload_with=DbEngine)
cols = dict()
for c in tableschema.columns:
print("{0}\t|\t{1}".format(c.name, c.type))
cols[c.name] = c.type
return cols
def GetUsers():
DBSession = sessionmaker(bind=Engine)
session = DBSession()
ShowTableData(session.query(Users).all(), 'users')
def ShowTableData(resultSet, tablename):
columns = ReflectTableColumns(Engine, Base.metadata, tablename)
columnNames = list(columns.keys())
print (type(resultSet))
for row in resultSet:
print (row.items[columnNames[1]])
print (row.columns[columnNames[1]])
print (row[columnNames[1]])
GetUsers()
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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