Recent changes to Cockpit

Cockpit modified by John Arcoman

John Arcoman — Wed, 26 Feb 2014 23:45:07 -0000

--- v2
+++ v3
@@ -31,4 +31,6 @@
     tar xzf ~/cockpit.tgz
     chown -R arcomem:arcomem /usr/opt/cockpit/

-Then, go to the `install` directory and follow the instructions in `README` after configuring sudo to let the user run commands as root, or run the `sudo commands' as root, the other ones as the normal user.
+Then, go to the `install` directory and follow the instructions in `README`
+after configuring sudo to let the user run commands as root, or run the \`sudo
+commands' as root, the other ones as the normal user.

Cockpit modified by John Arcoman

John Arcoman — Thu, 20 Feb 2014 13:54:31 -0000

--- v1
+++ v2
@@ -21,29 +21,14 @@
 widgets.  The report part displays the available crawl metrics.

 It is implemented in Python, uses the Pylons framework, jQuery and a Postgres
-database. It is released under TODO.
+database. It is released under GPLv3.

 # Set up

-Go to the `install` directory and run (this will install the dependencies on a
-Debian Squeeze):
+As root (assuming you will install it as user arcomem):

-    ./install_cockpit.sh
+    mkdir -p /usr/opt/
+    tar xzf ~/cockpit.tgz
+    chown -R arcomem:arcomem /usr/opt/cockpit/

-after configuring sudo to let the user run commands as root, or run the \`sudo
-commands\' as root, the other ones as the normal user.
-
-By default, we have:
-
-    COCKPIT_PYTHON_ENV="/usr/opt/cockpit/cockpit_python_env"
-
-To install the Postgres database and create the tables:
-
-    ./install_db.sh
-    cd ..
-    source $COCKPIT_PYTHON_ENV/bin/activate
-    make set-up
-
-Your Apache should now be serving the site under http://localhost/cockpit/.
-
-See `install/README` for more information.
+Then, go to the `install` directory and follow the instructions in `README` after configuring sudo to let the user run commands as root, or run the `sudo commands' as root, the other ones as the normal user.

Cockpit modified by John Arcoman

John Arcoman — Wed, 19 Feb 2014 00:25:25 -0000

Crawler cockpit

The crawler cockpit offers integrated features managed through a web
interface. It manages the main part of the Web Archiving process: creating and
launching campaigns, and viewing statistics about the crawls. The archivist
sets up the archiving campaign via the crawler cockpit GUI. A campaign
is described by an intelligent crawl definition, which associates content
target to crawl parameters (schedule and technical parameters). The content
definition is made of:

distinct named entities (e.g. person, location, and organisation), time
period, free keywords
and a selection of up to nine social media categories;
some specific URLs defined in the control group;
target on specific media content categories;
type of data to collect.

The crawl parameters describe the campaign schedule and define some technical
parameters such as politeness or robots.txt compliance. At the end of the
crawls, users get access to an overview of the data collected through different
widgets. The report part displays the available crawl metrics.

It is implemented in Python, uses the Pylons framework, jQuery and a Postgres
database. It is released under TODO.

Set up

Go to the install directory and run (this will install the dependencies on a
Debian Squeeze):

./install_cockpit.sh

after configuring sudo to let the user run commands as root, or run the `sudo
commands\' as root, the other ones as the normal user.

By default, we have:

COCKPIT_PYTHON_ENV="/usr/opt/cockpit/cockpit_python_env"

To install the Postgres database and create the tables:

./install_db.sh
cd ..
source $COCKPIT_PYTHON_ENV/bin/activate
make set-up

Your Apache should now be serving the site under http://localhost/cockpit/.

See install/README for more information.