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Add initial news reader example (#4348)
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committed by
Robert Nishihara
parent
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commit
80ef8c19aa
@@ -0,0 +1,29 @@
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News Reader
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===========
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This document shows how to implement a simple news reader using Ray. The reader
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consists of a simple Vue.js `frontend`_ and a backend consisting of a Flask
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server and a Ray actor. View the `code for this example`_.
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To run this example, you will need to install NPM and a few python dependencies.
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.. code-block:: bash
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pip install atoma
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pip install flask
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To use this example you need to
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* In the ``ray/examples/newsreader`` directory, start the server with
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``python server.py``.
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* Clone the client code with ``git clone https://github.com/ray-project/qreader``
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* Start the client with ``cd qreader; npm install; npm run dev``
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* You can now add a channel by clicking "Add channel" and for example pasting
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``http://news.ycombinator.com/rss`` into the field.
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* Star some of the articles and dump the database by running
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``sqlite3 newsreader.db`` in a terminal in the ``ray/examples/newsreader``
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directory and entering ``SELECT * FROM news;``.
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.. _`frontend`: https://github.com/saqueib/qreader
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.. _`code for this example`: https://github.com/ray-project/ray/tree/master/examples/newsreader
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@@ -115,6 +115,7 @@ Ray comes with libraries that accelerate deep learning and reinforcement learnin
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example-rl-pong.rst
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example-policy-gradient.rst
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example-parameter-server.rst
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example-newsreader.rst
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example-resnet.rst
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example-a3c.rst
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example-lbfgs.rst
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@@ -0,0 +1,85 @@
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import atoma
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from flask import Flask, jsonify, request
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from flask_cors import CORS
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import requests
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import sqlite3
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import ray
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@ray.remote
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class NewsServer(object):
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def __init__(self):
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self.conn = sqlite3.connect("newsreader.db")
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c = self.conn.cursor()
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c.execute("""CREATE TABLE IF NOT EXISTS news
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(title text, link text,
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description text, published timestamp,
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feed url, liked bool)""")
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self.conn.commit()
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def retrieve_feed(self, url):
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response = requests.get(url)
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feed = atoma.parse_rss_bytes(response.content)
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items = []
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c = self.conn.cursor()
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for item in feed.items:
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items.append({"title": item.title,
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"link": item.link,
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"description": item.description,
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"description_text": item.description,
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"pubDate": str(item.pub_date)})
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c.execute("""INSERT INTO news (title, link, description,
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published, feed, liked) values
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(?, ?, ?, ?, ?, ?)""", (
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item.title, item.link, item.description,
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item.pub_date, feed.link, False))
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self.conn.commit()
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return {"channel": {"title": feed.title,
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"link": feed.link,
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"url": feed.link},
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"items": items}
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def like_item(self, url, is_faved):
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c = self.conn.cursor()
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if is_faved:
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c.execute("UPDATE news SET liked = 1 WHERE link = ?", (url,))
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else:
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c.execute("UPDATE news SET liked = 0 WHERE link = ?", (url,))
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self.conn.commit()
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# instantiate the app
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app = Flask(__name__)
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app.config.from_object(__name__)
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# enable CORS
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CORS(app)
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@app.route("/api", methods=["POST"])
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def dispatcher():
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req = request.get_json()
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method_name = req["method_name"]
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method_args = req["method_args"]
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if hasattr(dispatcher.server, method_name):
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method = getattr(dispatcher.server, method_name)
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# Doing a blocking ray.get right after submitting the task
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# might be bad for performance if the task is expensive.
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result = ray.get(method.remote(*method_args))
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return jsonify(result)
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else:
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return jsonify(
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{"error": "method_name '" + method_name + "' not found"})
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if __name__ == "__main__":
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ray.init(num_cpus=2)
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dispatcher.server = NewsServer.remote()
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app.run()
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