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توضیحات

A Flask extension for CuttlePool

ویژگی	مقدار
سیستم عامل	-
نام فایل	Flask-CuttlePool-0.2.1
نام	Flask-CuttlePool
نسخه کتابخانه	0.2.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Spencer Mitchell
ایمیل نویسنده	-
آدرس صفحه اصلی	http://github.com/smitchell556/flask-cuttlepool
آدرس اینترنتی	https://pypi.org/project/Flask-CuttlePool/
مجوز	BSD 3-Clause

################ Flask-CuttlePool ################ Flask-CuttlePool provides a convenient interface for using `Cuttle Pool <https://github.com/smitchell556/cuttlepool>`_ with Flask. How-to Guide ============ If you haven't read the `How-to Guide <https://github.com/smitchell556/cuttlepool#how-to-guide>`_ for CuttlePool, you really should before going any further. ``FlaskCuttlePool`` objects accept the same arguments as ``CuttlePool`` objects, as well as a Flask ``app`` object. Assume we have the following imports and ``app`` object. :: import sqlite3 from flask import Flask from flask_cuttlepool import FlaskCuttlePool app = Flask(__name__) There are two ways to set up a pool object. On pool initialization :: pool = FlaskCuttlePool(sqlite3.connect, app=app, database='ricks_lab') or using ``init_app()`` explicitly :: pool = FlaskCuttlePool(sqlite3.connect) pool.init_app(app) Any configuration keys that start with ``CUTTLEPOOL_`` will be converted to a key value pair. If the key already exists in the initial arguments passed to the ``__init__()`` method, those will be superceded by the value on ``app.config``. For example :: pool = FlaskCuttlePool(sqlite3.connect, database='ricks_lab') app.config['CUTTLEPOOL_DATABASE'] = 'citadel_of_ricks' pool.init_app(app) will result in the connection pool associated with that ``app`` object connecting to ``'citadel_of_ricks'`` instead of ``'ricks_lab'``. Every key value pair on ``app.config`` of the form ``app.config['CUTTLEPOOL_KEY'] = value`` is passed to the pool constructor as ``key=value`` where ``key`` is lowercase. ``FlaskCuttlePool`` objects should also be provided with two callbacks. The ``ping`` callback is used to check if a connection is still open. The ``normalize_connection`` callback ensures each connection has the same state when it is retrieved from the pool. For more about these methods, see the `Cuttle Pool How-to Guide <https://github.com/smitchell556/cuttlepool#how-to-guide>`_. Continuing with the above example, these callbacks could be implemented like this:: @pool.ping def ping(connection): try: rv = connection.execute('SELECT 1').fetchall() return (1,) in rv except sqlite3.Error: return False @pool.normalize_connection def normalize_connection(connection): connection.row_factory = None Now the pool can be used as normal. Any calls to ``get_connection()`` will return a connection in the same manner a ``CuttlePool`` object would. To make things more convenient, the ``connection`` getter will store a connection on the application context and reuse that connection whenever the ``connection`` getter is called again. When the application context is torn down, the connection will be returned to the pool. Therefore, there is no need to call ``close()`` on a connection retrieved from the ``connection`` getter, but it's ok if ``close()`` is called. Connections retrieved with ``get_connection()`` should be explicitly closed. The convenience method ``cursor()`` will return a ``Cursor`` instance for the connection stored on the application context. A full example looks like:: import sqlite3 from flask import Flask from flask_cuttlepool import FlaskCuttlePool app = Flask(__name__) app.config['CUTTLEPOOL_DATABASE'] = ':memory:' pool = FlaskCuttlePool(sqlite3.connect) pool.init_app(app) @pool.ping def ping(connection): try: rv = connection.execute('SELECT 1').fetchall() return (1,) in rv except sqlite3.Error: return False @pool.normalize_connection def normalize_connection(connection): connection.row_factory = None with app.app_context(): # Get a connection, store it on the application context and return to # user. This connection doesn't need to be explicitly closed. con = pool.connection # Subsequent calls to pool.connection will get the same connection from # the application context. con is pool.connection # True # Get a different connection con2 = pool.get_connection() con2 is con # False # This connection should be explicitly closed since it was retrieved by # get_connection(). con2.close() # Get a cursor from the connection on the application context. cur = pool.cursor() cur.execute(SOME_SQL) cur.close() pool.connection.commit() # Now the application context has been torn down, so the connection has been # returned to the pool. pool.connection is None # True FAQ === These questions are related to Flask-CuttlePool only, check the `FAQ <https://github.com/smitchell556/cuttlepool#faq>`_ for CuttlePool if you don't find your answers here. How do I install it? -------------------- ``pip install flask-cuttlepool`` What is an application contexts? -------------------------------- This is a Flask extension, so it is meant to be used in the context of a Flask application. See `here <http://http://flask.pocoo.org/docs/appcontext/>`_ to learn about Flask's application context. Contributing ------------ It's highly recommended to develop in a virtualenv. Fork the repository. Clone the repository:: git clone https://github.com/<your_username>/flask-cuttlepool.git Install the package in editable mode:: cd flask-cuttlepool pip install -e .[dev] Now you're set. See the next section for running tests. Running the tests ----------------- Tests can be run with the command ``pytest``. Where can I get help? --------------------- If you haven't read the How-to guide above, please do that first. Otherwise, check the `issue tracker <https://github.com/smitchell556/flask-cuttlepool/issues>`_. Your issue may be addressed there and if it isn't please file an issue :)

نیازمندی

مقدار	نام
==0.6.0	cuttlepool
-	flask
-	pytest

نحوه نصب

نصب پکیج whl Flask-CuttlePool-0.2.1:

pip install Flask-CuttlePool-0.2.1.whl

نصب پکیج tar.gz Flask-CuttlePool-0.2.1:

pip install Flask-CuttlePool-0.2.1.tar.gz