start new:
tmux
start new with session name:
tmux new -s myname
import sqlalchemy as sa | |
import sqlalchemy.orm as orm | |
from sqlalchemy.ext.declarative import declarative_base | |
from sqlalchemy.ext.declarative import declared_attr | |
from sqlalchemy.orm import scoped_session, sessionmaker | |
DBSession = scoped_session(sessionmaker()) | |
class BaseMixin(object): | |
query = DBSession.query_property() | |
id = sa.Column(sa.Integer, primary_key=True) |
Wensheng Wang, 10/1/11
Source: http://blog.wensheng.org/2011/10/performance-of-flask-tornado-gevent-and.html
When choosing a web framework, I pretty much have eyes set on Tornado. But I heard good things about Flask and Gevent. So I tested the performance of each and combinations of the three. I chose something just a little more advanced than a "Hello World" program to write - one that use templates. Here are the codes:
package main | |
import ( | |
"image" | |
_ "image/gif" | |
_ "image/jpeg" | |
_ "image/png" | |
"io" | |
"mime" |
package main | |
import ( | |
"encoding/base64" | |
"net/http" | |
"strings" | |
) | |
type handler func(w http.ResponseWriter, r *http.Request) |
The following gist is an extract of the article Flask-SQLAlchemy Caching. It allows automated simple cache query and invalidation of cache relations through event among other features.
# pulling one User object
user = User.query.get(1)
from flask import Flask, render_template, jsonify, request | |
from threading import Timer, Thread | |
from time import sleep | |
app = Flask(__name__) | |
@app.route("/api/<method>") | |
def api(method): | |
data = { |
package main | |
import ( | |
"log" | |
"net/http" | |
"net/http/httputil" | |
) | |
func main() { | |
http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { |
wait4eth1() { | |
CNT=0 | |
until ip a show eth1 | grep -q UP | |
do | |
[ $((CNT++)) -gt 60 ] && break || sleep 1 | |
done | |
sleep 1 | |
} | |
wait4eth1 |