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working test ... for real

This commit is contained in:
Arnar Flatberg 2007-09-03 16:16:39 +00:00
parent 9a296f59f6
commit 5a1e225a08
2 changed files with 22 additions and 24 deletions
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28
fluents/workflow.py
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@ -138,7 +138,7 @@ class Task:
return Validation(True, "Validation Not Implemented")
def run(self):
print self.input
pass
def show_options_gui(self, editable=False):
pass
@ -190,25 +190,23 @@ class WorkflowView (gtk.VBox):
self.remove_workflow()
self.setup_workflow(workflow)
def run_task(self, task):
logger.log('debug', 'Creating task: %s' % task.name)
def run_task(self, task_class):
logger.log('debug', 'Creating task: %s' % task_class.name)
parent_data = main.project.current_data
task_instance = task(input=["hei"])
print task_instance.input
1/0
#validation = task.validate_input()
task = task_class(input=parent_data)
validation = task.validate_input()
#if not validation.succeeded:
# logger.log('warning','Invalid Inputdata: ' + str(reason))
# return
if not validation.succeeded:
logger.log('warning','Invalid Inputdata: ' + str(reason))
return
#task_result = task.run(*parent_data)
task_result = task.run()
#if new_data != None:
# main.project.add_data(parent_data, task_result, task.name)
#else:
# logger.log('debug', 'Task gave no output: %s' % task.name)
if task_result != None:
main.project.add_data(parent_data, task_result, task.name)
else:
logger.log('debug', 'Task gave no output: %s' % task.name)
logger.log('debug', 'Task ended: %s' % task.name)

16
workflows/test_workflow.py
View File

@ -2,7 +2,7 @@ import gtk
from fluents import dataset, logger, plots, workflow
#import geneontology
#import gostat
from scipy import array, randn, log, ones
from scipy import array, randn, log, ones, newaxis
import cPickle
import networkx
@ -31,8 +31,8 @@ class TestDataTask(workflow.Task):
logger.log('notice', 'Injecting foo test data')
x = randn(500,15)
X = dataset.Dataset(x)
p = plots.ScatterPlot(X, X, 'rows', 'rows', '0_1', '0_2',name='scatter')
# p2 = plots.ScatterMarkerPlot(X, X, 'rows', 'rows', '0_1', '0_2',name='marker')
dname = X.get_dim_name()[0]
p = plots.ScatterPlot(X, X, dname, dname, '0_1', '0_2',name='scatter')
graph = networkx.XGraph()
for x in 'ABCDEF':
for y in 'ADE':
@ -41,13 +41,12 @@ class TestDataTask(workflow.Task):
ds_plot = plots.NetworkPlot(ds)
cds = dataset.CategoryDataset(ones([3, 3]))
ds_scatter = plots.ScatterMarkerPlot(ds, ds,
'rows_0', 'rows_0',
'0_1', '0_2')
dname2 = cds.get_dim_name()[0]
ds_scatter = plots.ScatterMarkerPlot(cds, cds, dname2, dname2, '0_1', '0_2')
lp = plots.LineViewPlot(X ,major_axis=0)
vp = plots.VennPlot()
self.datasets = [p]
return [X, ds, p, ds_plot, ds_scatter, p2, cds, lp, vp]
return [X, ds, p, ds_plot, ds_scatter, cds, lp, vp]
class TestPlot(workflow.Task):
@ -60,6 +59,7 @@ class TestPlot(workflow.Task):
logger.log('notice', 'Injecting foo test data')
x = randn(500,15)
X = dataset.Dataset(x)
p = plots.ScatterPlot(X, X, 'rows', 'rows', '0_1', '0_2',name='scatter')
ii = X.get_dim_name()
p = plots.ScatterPlot(X, X, ii[0], ii[0], '0_1', '0_2',name='scatter')
return [p]