from pattern.server import static from pattern.server import HTTPError # The pattern.server module allows you to run a pure-Python web server. # It is built on CherryPy and inspired by Flask and bottle.py. # This example demonstrates a basic web app. # At the bottom of the script is a call to app.run(). # So, to start the web server, run this script. # If you make any changes to the script and save it, # the server automatically restarts to reflect the changes. # If the server is running in "production mode", i.e., app.run(debug=False), # it will not restart automatically. app = App(name="basic", static="static/") # Here are some properties of the app. # app.path yields the absolute path to the app folder. # app.static yields the absolute path to the folder for static content. print app.name print app.path print app.static # The @app.route() decorator can be used to define a URL path handler. # A path handler is simply a Python function that returns a string, # which will be displayed in the browser. # For example, visit http://127.0.0.1:8080/:
import os, sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from pattern.server import App, Database, html
# This example demonstrates a web app with a simple database back-end.
# The pattern.server module has a Database object
# that can be used with SQLite and MySQL databases.
# SQLite is part of Python 2.5+.
# MySQL requires the mysql-python bindings (http://sourceforge.net/projects/mysql-python/).
app = App("store")
# In this example we'll use SQLite.
# The advantage is that you don't need to install anything,
# and that the database is a file at a location of your choice.
# We use SQLite Database browser (Mac OS X) to browse the file.
# (http://sourceforge.net/projects/sqlitebrowser/)
# The disadvantage is that SQLite is not multi-threaded.
# This will lead to problems ("database is locked") in larger projects.
# The app server uses multiple threads to handle concurrent requests.
# If two request want to write to the database at the same time,
# one of them will have to wait while the other finishes writing.
# If enough requests are waiting in line, the database may crash.
# The next example uses a DatabaseTransaction to remedy this.
# Reading from the database is no problem.
# The following code creates a new database "store.db",
# in the same folder as this script.
from pattern.server import static
from pattern.server import HTTPError
# The pattern.server module allows you to run a pure-Python web server.
# It is built on CherryPy and inspired by Flask and bottle.py.
# This example demonstrates a basic web app.
# At the bottom of the script is a call to app.run().
# So, to start the web server, run this script.
# If you make any changes to the script and save it,
# the server automatically restarts to reflect the changes.
# If the server is running in "production mode", i.e., app.run(debug=False),
# it will not restart automatically.
app = App(name="basic", static="static/")
# Here are some properties of the app.
# app.path yields the absolute path to the app folder.
# app.static yields the absolute path to the folder for static content.
print app.name
print app.path
print app.static
# The @app.route() decorator can be used to define a URL path handler.
# A path handler is simply a Python function that returns a string,
# which will be displayed in the browser.
# For example, visit http://127.0.0.1:8080/:
@app.route("/")
from builtins import str, bytes, dict, int
import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from pattern.server import App, Database, html
# This example demonstrates a web app with a simple database back-end.
# The pattern.server module has a Database object
# that can be used with SQLite and MySQL databases.
# SQLite is part of Python 2.5+.
# MySQL requires the mysql-python bindings (http://sourceforge.net/projects/mysql-python/).
app = App("store")
# In this example we'll use SQLite.
# The advantage is that you don't need to install anything,
# and that the database is a file at a location of your choice.
# We use SQLite Database browser (Mac OS X) to browse the file.
# (http://sourceforge.net/projects/sqlitebrowser/)
# The disadvantage is that SQLite is not multi-threaded.
# This will lead to problems ("database is locked") in larger projects.
# The app server uses multiple threads to handle concurrent requests.
# If two request want to write to the database at the same time,
# one of them will have to wait while the other finishes writing.
# If enough requests are waiting in line, the database may crash.
# The next example uses a DatabaseTransaction to remedy this.
# Reading from the database is no problem.
import os, sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from pattern.server import App
from pattern.server import MINUTE, HOUR, DAY
from pattern.text import language
app = App("api")
# The language() function in pattern.text guesses the language of a given string.
# For example: language("In French, goodbye is au revoir.") returns ("en", 0.83).
# It can handle "en", "es", "de", "fr", "nl", "it" with reasonable accuracy.
# To create a web service like Google Translate with pattern.server is easy.
# Normally, URL handlers return a string with the contents of that web page.
# If we return a dictionary instead, it will be formatted as a JSON-string,
# the data interchange format used by many popular web services.
# So clients (e.g., a user's Python script) can query the web service URL
# and catch the JSON reply.
# There is only one tricky part: rate limiting.
# Note the "limit", "time" and "key" parameters in @app.route() below.
# We'll explain them in more detail.
# First, run the script and visit:
# http://127.0.0.1:8080/language?q=in+french+goodbye+is+au+revoir
# You should see some JSON-output:
import os, sys; sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from pattern.server import App, template, threadsafe
from codecs import open
# This example demonstrates a simple wiki served by pattern.server.
# A wiki is a web app where each page can be edited (e.g, Wikipedia).
# We will store the contents of each page as a file in /data.
app = App(name="wiki")
# Our wiki app has a single URL handler listening at the root ("/").
# It takes any combination of positional and keyword arguments.
# This means that any URL will be routed to the index() function.
# For example, http://127.0.0.1:8080/pages/bio.html?edit calls index()
# with path=("pages", "bio.html") and data={"edit": ""}.
@app.route("/")
def index(*path, **data):
#print "path:", path
#print "data:", data
# Construct a file name in /data from the URL path.
# For example, path=("pages", "bio.html")
# is mapped to "/data/pages/bio.html.txt".
page = "/".join(path)
page = page if page else "index.html"
page = page.replace(" ", "-")
page = page + ".txt"
page = os.path.join(app.path, "data", page) # Absolute paths are safer.
#print "page:", page
import os, sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from pattern.server import App
from pattern.server import MINUTE, HOUR, DAY
from pattern.text import language
app = App("api")
# The language() function in pattern.text guesses the language of a given string.
# For example: language("In French, goodbye is au revoir.") returns ("en", 0.83).
# It can handle "en", "es", "de", "fr", "nl", "it" with reasonable accuracy.
# To create a web service like Google Translate with pattern.server is easy.
# Normally, URL handlers return a string with the contents of that web page.
# If we return a dictionary instead, it will be formatted as a JSON-string,
# the data interchange format used by many popular web services.
# So clients (e.g., a user's Python script) can query the web service URL
# and catch the JSON reply.
# There is only one tricky part: rate limiting.
# Note the "limit", "time" and "key" parameters in @app.route() below.
# We'll explain them in more detail.
# First, run the script and visit:
# http://127.0.0.1:8080/language?q=in+french+goodbye+is+au+revoir
# You should see some JSON-output:
