caching

问题 I'm trying to use Spotipy to access a user's Spotify library but am running into a bit of trouble. For background, I'm using Flask, SQLAlchemy, and Flask-Login. I looked off of this tutorial on github to get started, but this one doesn't quite work for me because if you use a cache, all users can access the playlist of the user whose token is cached, and since there is a cached token, any user after the first user can't login to Spotify. Here is some initial setup: sp_oauth = oauth2

问题 I'm trying to use Spotipy to access a user's Spotify library but am running into a bit of trouble. For background, I'm using Flask, SQLAlchemy, and Flask-Login. I looked off of this tutorial on github to get started, but this one doesn't quite work for me because if you use a cache, all users can access the playlist of the user whose token is cached, and since there is a cached token, any user after the first user can't login to Spotify. Here is some initial setup: sp_oauth = oauth2

问题 I am using apollo graphql in my react application. Say I have the following query: query ListQuery($filter: String!) { items(filter: $filter) { id name } } This query lets me query a list of items using a filter. Say I used filter string A, and then used filter string B. The cache would now contain two entries: ListQuery(A) and ListQuery(B). Now let's say I use a mutation to add a new item. How can I remove all the cached queries from the cache? So in this case, I want to remove both

问题 I'm building a web server and trying to test things. The server is running on localhost:888 , and the first time I load the web app, everything works. But if I try to reload the page, a bunch of XmlHttpRequest requests fail with net::ERR_FAILED . By putting breakpoints in the server code, I can verify that the requests are never actually coming in. This isn't a connection failure, as the connection succeeds the first time. The fact that it succeeds once and then fails later implies that it

问题 I'm building a web server and trying to test things. The server is running on localhost:888 , and the first time I load the web app, everything works. But if I try to reload the page, a bunch of XmlHttpRequest requests fail with net::ERR_FAILED . By putting breakpoints in the server code, I can verify that the requests are never actually coming in. This isn't a connection failure, as the connection succeeds the first time. The fact that it succeeds once and then fails later implies that it

问题 I'm building a web server and trying to test things. The server is running on localhost:888 , and the first time I load the web app, everything works. But if I try to reload the page, a bunch of XmlHttpRequest requests fail with net::ERR_FAILED . By putting breakpoints in the server code, I can verify that the requests are never actually coming in. This isn't a connection failure, as the connection succeeds the first time. The fact that it succeeds once and then fails later implies that it

问题 I'm building a web server and trying to test things. The server is running on localhost:888 , and the first time I load the web app, everything works. But if I try to reload the page, a bunch of XmlHttpRequest requests fail with net::ERR_FAILED . By putting breakpoints in the server code, I can verify that the requests are never actually coming in. This isn't a connection failure, as the connection succeeds the first time. The fact that it succeeds once and then fails later implies that it

问题 I'm building a web server and trying to test things. The server is running on localhost:888 , and the first time I load the web app, everything works. But if I try to reload the page, a bunch of XmlHttpRequest requests fail with net::ERR_FAILED . By putting breakpoints in the server code, I can verify that the requests are never actually coming in. This isn't a connection failure, as the connection succeeds the first time. The fact that it succeeds once and then fails later implies that it

问题 I'm impressed by the speed of running transformations, loading data and ease of use of Pandas and want to leverage all these nice properties (amongst others) to model some large-ish data sets (~100-200k rows, <20 columns). The aim is to work with the data on some computing nodes, but also to provide a view of the data sets in a browser via Flask . I'm currently using a Postgres database to store the data, but the import (coming from csv files) of the data is slow, tedious and error prone and

问题 Is it possible to cache docker images on Travis CI? Attempting to cache the /var/lib/docker/aufs/diff folder and /var/lib/docker/repositories-aufs file with cache.directories in the travis.yml doesn't seem to work since they require root. 回答1: From a Docker perspective, I think the best way you could do this (without the possibility of running a network local registry) is save the Docker image and cache the exported tar ball. You would need to load that at the start rather than pull an image.