This release introduces a new config module and a new search functionality. The result of a search is integrated in the main page.
The fetch call is now dependent to the selected crawling method.
The look and feel has been globally improved. It is now possible to add a new feed from any page via a dropdown menu.
Significant performance improvement for the views /favorites and /unread. The performance problem has been introduced with the release 5.6.5.
This release fixes a major bug introduced with the version 0.9.7 of SQLAlchemy (conflicts between persistent ant transcient SQLAlchemy objects).
Translations have been updated. Gravatar extension has been removed. Minor fix.
Performance improvements: faster database insertion of articles by the crawler and loading of the management page. Minor bug fixes.
pyAggr3g470r has now a RESTful JSON API which enables to manage Feed and Article objects. The API is documented in the README file. The main page is using a subset of this API with jQuery HTTP requests.
This release introduces a redesigned homepage which loads much faster and is easier to read. pyAggr3g470r can now be run by Apache. Adding a feed no longer requires a title and a site link.
This version makes it possible for a user to export all of their feeds and articles as a JSON file for later restoration.
This release introduces some UI improvements, especially for the home page.
This release adds minor bug fixes and UI improvements.
When deployed on Heroku, the platform now uses the Postmark service to send account confirmation emails to users. It is no longer required to enter a first name and a last name to create an account.
pyAggr3g470r is now translated into English and French. Improvements concerning the news retriever and the Whoosh search functionality have been made. The user can now export all articles in JSON format. The user of the platform now has the possibility to delete his or her account.
This version introduces minor improvements to the Jinja templates and bugfixes (relating to the import of OPML files with sub-categories and relating to the Whoosh index generation).
Feeds are now retrieved in a separated process with the Gevent library. This offers the best performance on Heroku.
pyAggr3g470r can now be deployed on Heroku or on a traditional server. Moreover, several users can use an instance of pyAggr3g470r. A platform is managed by the administrator, a user with specific rights.
This release introduces the import of OPML files of subscriptions. Minor improvements have been made to the templates.
This release introduces a one step installation process with a simple script. Minor improvements to the feedgetter module have been introduced (the feed description is now stored in the database). Miscellaneous improvements to the Jinja templates. Finally, more configuration options are now offered to the user.
This version introduces some improvements for the feedgetter module including automatic retrieval of the URL behind feedproxy.google.com, and support for configuring the user agent and proxy. Minor improvements were made to the MongoEngine models. Notifications are displayed with Flask flash messages.
With this release, the user is able to update her personal information. It is now possible to enable/disable the checking of updates for a feed. Some performance improvements and user interface optimizations have been done.
This is the first release of the new version of pyAggr3g470r. The code has been rewritten with the Flask microframework and the Bootstrap frontend framework.
HTTP proxy support has been added for the fetching of feeds. This is useful, for example, if you are using Privoxy/Tor.
Searching of articles is now achieved with Whoosh, a fast full-text indexing and searching library.
The code has been tested and ported to Python 3.3.1. Some minor bugs have been fixed, with a lot of improvements concerning the Mako templates, MongoDB database management, and management of exceptions.
This release introduces a reworked management page; it is now possible to change the username and password via this page. Some improvements concerning the HTML export of the database have been made. Finally, indexed MongoDB full text searching provides a much faster search.
pyAggr3g470r is now using the Mako template library. Performance improvements for the MongoDB database have been made, and some minor bugfixes. Stop words (a, of, the, an, for...) are now ignored when calculating top words for the generation of the tag cloud. A new page indicates the list of inactive feeds (with no new published articles since a given number of days).
pyAggr3g470r is now running with Python 3.2(.3). It uses CherryPy 3.2.2, BeautifulSoup4, and feedparser3.Your old MongoDB database can be used without any problem.
Some minor bugfixes and improvements. An authentication screen has been added, which is useful if pyAggr3g470r is running on an EC2 instance, for example.
This version introduces some minor improvements and bugfixes. All features of pyAggr3g470r are now back (with MongoDB).
This version introduces minor improvements and a bugfix. Publication dates of articles are now stored as a datetime object. A bug in the script that converts an SQLite database to a MongoDB database is now fixed. A little documentation has been added.
A MongoDB database is now used instead of the SQLite database. This change offers a significant performance improvement. The database has been tested with more than 30,000 articles, but version 3.2 is still a test version. A more stable version will arrive soon.
A new version of the QR Code module is used. For each article, a QR Code is generated based on the content of the article. If the article is too long, only the article's URL is encoded in the QR Code. For a given string, the algorithm tries the generate as small a QR Code as possible. Minor bugs were fixed.
This release introduces exportation of articles to the HTML format and to the PDF format (there is still exportation to ePub). The sharing of articles with delicious.com was replaced by pinboard.in.s
Some minor improvements. A bug with the HTML <code> tag bas been fixed. Cleanup was done with Pylint. The test database of pyAggr3g470r contains more than 22000 articles, and it runs perfectly.
The feed summary page, which displays general information about a feed, now lets you change the feed metadata (feed logo, feed name, and feed URL if changed). Moreover, this page displays the activity of a feed and other useful information. It is now possible to set a different POD for Diaspora in the configuration file and to share an article with Google +1. A control file to start or stop pyAggr3g470r has been added. From the GUI side, a new transparent CSS tooltip has been introduced in order to preview an article. Finally, some minor performance improvements and bugfixes were made.
Minor improvements. It is now possible to set a maximum number of articles to be loaded from the database for each feed (via the management page).
This version introduces a new page that displays general information about a feed. There are some minor improvements in the Web interface. The version of pyAggr3g470r for Python 3 is now fully ready and has been tested with Python 3.2.
A bug when removing a feed from the data base was fixed. Minor improvements were made for export of articles and the size of HTML forms.
The GUI uses more HTML 5 features like HTML5 Forms Validation (email input, URL input), an HTML5 month+year date picker, and a placeholder. From each article it is possible to access the following and previous article (and a new main menu with CSS ToolTip). Articles can now be exported to the EPUB format. Articles loaded from the SQLite base are now stored in memory in a better data structure. With more than 10,000 articles, pyAggr3g470r starts in 3 seconds. Finally, email notifications are now sent with HTML message content and with an alternative plain text version (MIMEMultipart).
This version introduces HTML5 Forms Validation and a HTML5 month+year date picker for the history page, which can be used to search for articles. This currently only works with Opera.
There is now a third way to export articles from the SQLite base. There is an export method for the wiki DokuWiki (example in the commit message).
The export of articles to HTML has been updated, with better output. There are a number of improvements (the search function, generation of tags cloud, display of article content, CSS, bugfixes, etc.). There is a new Wiki.
It is now possible to browse articles by year and month with tag clouds (see new screenshots). In addition, URL errors are detected before downloading feeds. There are some improvements in the user interface.
The feedgetter module was improved. More details about articles are stored in the database when possile. An attempt is made to get the whole article (a_feed['entries'][i].content[j].value), and in the event of failure, the description/summary is used (a_feed['entries'][i].description).
It is now easier to install pyAggr3g470r. There is no longer any need to set any path in the configuration file.
This release generates QR codes with URLs of articles, so you can read an article later on your smartphone (or share with friends).
It is now possible to automatically add a feed (with the URL of the site), delete an article, delete a feed with all its articles, and to delete all articles from the database. There are also some nice improvements to performance, tested with more than 3000 articles. Furthermore, HTML export of all the articles of the database was improved. You can also export the articles in raw text. Finally, some minor bugs were fixed.
Now pyAggr3g470r only works with Python 2.7. OrderedDict objects are used in order to sort the feeds alphabetically in a simple way.
It is now possible to remove all articles of a given feed from the SQLite base via the management page. You can also add a feed just with the URL of the Web page. The URL of the feed is obtained by parsing the Web page with the module BeautifulSoup.
All articles stored in the SQLite database can now be exported as HTML or raw text via the management page.
This version introduces a tag cloud with variable word length. Some improvements were made to the CSS and a bug was fixed.
Introduction of a Google Buzz button. It is now possible to mark or unmark articles as favorites.
The database of feeds is monitored with the Python gamin module, if present. Otherwise it is done with a classic function. You now have the option to be informed of new articles by email. To receive these notifications, just click on "Stay tuned" for the desired feed(s) at the main page of pyAggr3g470r in the browser.
TuxDroid tells you when there are unread articles (this module is independent in case you don't have a TuxDroid). Moreover, the language of articles is detected (thanks to the oice.langdet Python module). This allows you to search for articles by language.
It is now possible to share articles with delicious, Digg, reddit, Scoopeo, and Blogmarks. The "Management of feeds" page presents information on the database and statistics on articles (with a histogram). HTML tags are now skipped for the search. Some other improvements were made.
It is now possible to search for an article, through the titles and descriptions.
Unread articles are now shown in bold. This was implemented using a new field in the SQLite database. New tabs for article descriptions are opened with the _rel=noreferrer_ option in order to separate processes (useful with Chromium). It is now possible to see only unread articles for each feed.
It is now possible to fetch feeds manually by clicking on "Fetch all feeds" and/or with cron. Better navigation between feeds and improvements to the SQLite database have been added.
First release of pyAggr3g470r.