Merge pull request #16 from BackofenLab/new_wfs

add new workflows and new tours

Author: bgruening

Dockerfile

@@ -17,16 +17,19 @@ ADD graphclust.yml $GALAXY_ROOT/tools.yaml
 RUN install-tools $GALAXY_ROOT/tools.yaml && \
     /tool_deps/_conda/bin/conda clean --tarballs
 
-ADD tour_graphclust_wf.yaml $GALAXY_ROOT/config/plugins/tours/graphclust.wf.yaml
+ADD ./tours/graphclust_wf.yaml $GALAXY_ROOT/config/plugins/tours/graphclust.wf.yaml
+ADD ./tours/graphclust_step_by_step.yaml $GALAXY_ROOT/config/plugins/tours/graphclust.step_by_step.yaml
+ADD ./tours/graphclust_very_short.yaml $GALAXY_ROOT/config/plugins/tours/graphclust.short.yaml
 
 # Data libraries
 ADD setup_data_libraries.py $GALAXY_ROOT/setup_data_libraries.py
 ADD library_data.yaml $GALAXY_ROOT/library_data.yaml
 
 # Hacky script to import workflows into Galaxy after installation. I would argue this step is redundant.
 ADD import_workflows.py $GALAXY_ROOT/import_workflows.py
-ADD GraphClust_one.ga $GALAXY_ROOT/GraphClust_one.ga
-ADD GraphClust_two.ga $GALAXY_ROOT/GraphClust_two.ga
+ADD ./workflows/GraphClust_one.ga $GALAXY_ROOT/GraphClust_one.ga
+ADD ./workflows/GraphClust_two.ga $GALAXY_ROOT/GraphClust_two.ga
+ADD ./workflows/GraphClust_three.ga $GALAXY_ROOT/GraphClust_three.ga
 
 # Download training data and populate the data library
 RUN startup_lite && \

import_workflows.py

@@ -10,3 +10,4 @@
 wf = galaxy.workflows.WorkflowClient(gi)
 wf.import_workflow_from_local_path('/galaxy-central/GraphClust_two.ga')
 wf.import_workflow_from_local_path('/galaxy-central/GraphClust_one.ga')
+wf.import_workflow_from_local_path('/galaxy-central/GraphClust_three.ga')