August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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307
13.3 Flask-Restless による RESTful SQL
# Flask-Restless API
マネージャを作成する
manager = flask.ext.restless.APIManager(app, flask_sqlalchemy_db=db)
# API
エンドポイントを作成する
#
これはデフォルトでは
/api/<tablename>
で利用できる
#
利用できる
HTTP
メソッドも指定できる
manager.create_api(Winners,
methods=['GET'], #
オプションで
POST
、
DELETE
など
max_results_per_page=1000)
# flask
ループを開始する
app.run()
❶ 保存した
pandas
DataFrame
のインデックス（「
9.6
クリーニングしたデータセットの保存」を参照）。
Flask-Restless
は内部でボイラープレートを簡略化します。デフォルトでは
db.Model
の名前
（
Winners
）は公開するテーブルの大文字で始まる名前で、これはクラス変数
__tablename__
を宣
言して明示的に設定します。まず
Flask
app
を使って
SQLAlchemy
データベース
db
を作成し、次
にそのデータベースで
Winners
モデルを作成します。そして、データベースとアプリケーションを
使って
Flask-Restless
APIManager
を設定します。最後に、
create_api
メソッドで
winners ...
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