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Add rational for the functioning and opening of the amazon store.
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@ -22,6 +22,89 @@ class AmazonKindleStore(StorePlugin):
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description = _('Kindle books from Amazon')
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description = _('Kindle books from Amazon')
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def open(self, gui, parent=None, detail_item=None):
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def open(self, gui, parent=None, detail_item=None):
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'''
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Amazon comes with a number of difficulties.
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QWebView has major issues with Amazon.com. The largest of
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issues is it simply doesn't work on a number of pages.
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When connecting to a number parts of Amazon.com (Kindle library
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for instance) QNetworkAccessManager fails to connect with a
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NetworkError of 399 - ProtocolFailure. The strange thing is,
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when I check QNetworkRequest.HttpStatusCodeAttribute when the
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399 error is returned the status code is 200 (Ok). However, once
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the QNetworkAccessManager decides there was a NetworkError it
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does not download the page from Amazon. So I can't even set the
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HTML in the QWebView myself.
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There is http://bugreports.qt.nokia.com/browse/QTWEBKIT-259 an
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open bug about the issue but it is not correct. We can set the
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useragent (Arora does) to something else and the above issue
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will persist. This http://developer.qt.nokia.com/forums/viewthread/793
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gives a bit more information about the issue but as of now (27/Feb/2011)
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there is no solution or work around.
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We cannot change the The linkDelegationPolicy to allow us to avoid
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QNetworkAccessManager because it only works links. Forms aren't
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included so the same issue persists on any part of the site (login)
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that use a form to load a new page.
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Using an aStore was evaluated but I've decided against using it.
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There are three major issues with an aStore. Because checkout is
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handled by sending the user to Amazon we can't put it in a QWebView.
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If we're sending the user to Amazon sending them there directly is
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nicer. Also, we cannot put the aStore in a QWebView and let it open the
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redirection the users default browser because the cookies with the
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shopping cart won't transfer.
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Another issue with the aStore is how it handles the referral. It only
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counts the referral for the items in the shopping card / the item
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that directed the user to Amazon. Kindle books do not use the shopping
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cart and send the user directly to Amazon for the purchase. In this
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instance we would only get referral credit for the one book that the
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aStore directs to Amazon that the user buys. Any other purchases we
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won't get credit for.
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The last issue with the aStore is performance. Even though it's an
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Amazon site it's alow. So much slower than Amazon.com that it makes
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me not want to browse books using it. The look and feel are lesser
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issues. So is the fact that it almost seems like the purchase is
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with calibre. This can cause some support issues because we can't
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do much for issues with Amazon.com purchase hiccups.
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Another option that was evaluated was the Product Advertising API.
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The reasons against this are complexity. It would take a lot of work
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to basically re-create Amazon.com within calibre. The Product
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Advertising API is also designed with being run on a server not
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in an app. The signing keys would have to be made avaliable to ever
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calibre user which means bad things could be done with our account.
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The Product Advertising API also assumes the same browser for easy
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shopping cart transfer to Amazon. With QWebView not working and there
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not being an easy way to transfer cookies between a QWebView and the
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users default browser this won't work well.
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We could create our own website on the calibre server and create an
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Amazon Product Advertising API store. However, this goes back to the
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complexity argument. Why spend the time recreating Amazon.com
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The final and largest issue against using the Product Advertising API
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is the Efficiency Guidelines:
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"Each account used to access the Product Advertising API will be allowed
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an initial usage limit of 2,000 requests per hour. Each account will
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receive an additional 500 requests per hour (up to a maximum of 25,000
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requests per hour) for every $1 of shipped item revenue driven per hour
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in a trailing 30-day period. Usage thresholds are recalculated daily based
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on revenue performance."
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With over two million users a limit of 2,000 request per hour could
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render our store unusable for no other reason than Amazon rate
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limiting our traffic.
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The best (I use the term lightly here) solution is to open Amazon.com
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in the users default browser and set the affiliate id as part of the url.
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'''
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from calibre.gui2 import open_url
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from calibre.gui2 import open_url
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aff_id = {'tag': 'josbl0e-cpb-20'}
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aff_id = {'tag': 'josbl0e-cpb-20'}
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store_link = 'http://www.amazon.com/Kindle-eBooks/b/?ie=UTF&node=1286228011&ref_=%(tag)s&ref=%(tag)s&tag=%(tag)s&linkCode=ur2&camp=1789&creative=390957' % aff_id
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store_link = 'http://www.amazon.com/Kindle-eBooks/b/?ie=UTF&node=1286228011&ref_=%(tag)s&ref=%(tag)s&tag=%(tag)s&linkCode=ur2&camp=1789&creative=390957' % aff_id
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