Creates scatter plots of HRMC output data to summarise datasets within the Bioscience Data Platform MyTardis installation.
Currently requires contextual view branch of the MyTardis system:
git clone https://github.com/grischa/mytardis/tree/synch-views mytardis
Then checkout the MyTardis app:
git clone https://github.com/ianedwardthomas/mytardis-app-hrmcoutput hrmc_views
to be installed under the tardis/apps directory
See this repository for more information.
install hrmc.py filter into mytardis::
mv hrmc_views/hrmc.py ../../tardis/tardis_portal/filters
For centos 6 install the matplotlib library::
sudo yum install python-matplotlib
In tardis/settings.py add following::
# Post Save Filters
POST_SAVE_FILTERS = [
("tardis.tardis_portal.filters.hrmc.make_filter",
["HRMC", "http://rmit.edu.au/schemas/hrmcdataset"]),
]
MATPLOTLIB_HOME = path.abspath(path.join(path.dirname(__file__),
'../')).replace('\\', '/')
INSTALLED_APPS += ("tardis.apps.hrmc_views",)
DATASET_VIEWS = [("http://rmit.edu.au/schemas/hrmcdataset",
"tardis.apps.hrmc_views.views.view_full_dataset")]
# Add Middleware
tmp = list(MIDDLEWARE_CLASSES)
tmp.append('tardis.tardis_portal.filters.FilterInitMiddleware')
MIDDLEWARE_CLASSES = tuple(tmp)
Once installed, use admin tool to create following schema::
Schema(namespace="http://rmit.edu.au/schemas/hrmcdataset",
name="hrmc_views"
type="Dataset schema"
Hidden=True)
ParameterName(name="plot",
fullname = "scatterplot",
units="image", datatype=FILENAME)