pyramid

I'm trying to create an authorization policy that takes "item" ownership into account. For example some user X "owns" items A, B, C. Those are accessed via URLs like /item/{item}/some_options . How can I get the information about {item} to the authorization policy object (permits() call)? Is putting additional information into context a good idea (I'm doing routes-based routing only). How would I do that? You can do this using the ACLAuthorizationPolicy combined with URL Dispatch by using a custom resource tree designed for this purpose. For example, you have permissions for Foo objects, and

Let's say I have a table 'shares' with the following columns: company price quantity Microsoft 100 10 Google 99 5 Google 99 20 Google 101 15 I'd like to run the equivalent of a SQL statement like this: select price, sum(quantity) as num from shares where company='Google' group by price; The closest I've come is: result = dbsession.query(Shares.price, func.sum(Shares.quantity)).filter(Shares.company== 'Google').group_by(Shares.price).all() I'm having trouble with setting up the 'sum(quantity) as num' in sqlalchemy. It appears I need to use alias() but I can't figure out how by looking at the

I am using SQLAlchemy as ORM for a python project. I have created few models/schema and it is working fine. Now I need to query a existing MySQL database, no insert/update just the select statement. How can I create a wrapper around the tables of this existing database? I have briefly gone through the sqlalchemy docs and SO but couldn't find anything relevant. All suggest execute method, where I need to write the raw sql queries, while I want to use the SQLAlchemy query method in same way as I am using with the SA models. For example if the existing db has table name User then I want to query

We have a web app made with pyramid and served through gunicorn+nginx. It works with 8 worker threads/processes We needed to jobs, we have chosen apscheduler. here is how we launch it from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR from apscheduler.scheduler import Scheduler rerun_monitor = Scheduler() rerun_monitor.start() rerun_monitor.add_interval_job(job_to_be_run,\ seconds=JOB_INTERVAL) The issue is that all the worker processes of gunicorn pick the scheduler up. We tried implementing a file lock but it does not seem like a good enough solution. What would be the best