def quadrant_gate(commands): name = commands[1] ##Loads raw fcs data from cloud storage Ana.load_fcs(name) ## Creates visualisation and .fcs file of gate exitcode = Ana.quad_gate(name, commands[2], commands[3], commands[4], commands[5], commands[6], commands[7], commands[8], commands[9]) if(exitcode == 0): for i in range(4, 8): current_gate_name = commands[i] save_gate(current_gate_name) ## Clean up gate_clean_up(current_gate_name) os.remove(name) return True
def save_gate(gate_name): ## Saves visualisation of gate to cloud storage Ana.save_vis(gate_name + '.png') ## Saves info about gate to cloud storage Ana.save_info(gate_name + '.txt') Ana.save_info(gate_name + 'info.txt') ## Saves gate as fcs file Ana.save_fcs(gate_name)
def shape_gating(commands): name = commands[1] points = commands[2] gate_name = commands[3] reverse = commands[4] x_axis = commands[5] y_axis = commands[6] coords = points.split() ##Loads raw fcs data from cloud storage Ana.load_fcs(name) ##Creates visualisation of gate and text file of gate info if(commands[0] == 'gate_rec'): exitcode = Ana.rect_gate(name, gate_name, coords[0], coords[1], coords[2], coords[3], reverse, x_axis, y_axis) elif(commands[0] == 'gate_cir'): exitcode = Ana.oval_gate(name, gate_name, coords[0], coords[1], coords[2], coords[3], coords[4], coords[5], reverse, x_axis, y_axis) elif(commands[0] == 'gate_poly'): exitcode = Ana.poly_gate(name, gate_name, points, reverse, x_axis, y_axis) elif(commands[0] == 'gate_bool'): exitcode = Ana.bool_gate(name, gate_name, commands[7], commands[8], points, reverse, commands[9], commands[10], commands[11], x_axis, y_axis, commands[12], commands[13]) if(exitcode == 0): ## Save visualisation to cloud storage. save_gate(gate_name) ## Clean up. gate_clean_up(gate_name) os.remove(name) return True
def data_gate(commands):
if(commands[0] == 'gate_norm'):
name = commands[1]
gate_name = commands[2]
##Loads raw fcs data from cloud storage
Ana.load_fcs(name)
##Creates visualisation of gate and text file of gate info
exitcode = Ana.norm_gate(name, gate_name, commands[3], commands[4], commands[5], commands[6])
if(exitcode == 0):
save_gate(gate_name)
## Clean up.
gate_clean_up(gate_name)
os.remove(name)
elif(commands[0] == 'gate_kmeans'):
name = commands[1]
cluster_names = commands[2]
number_clusters = commands[3]
x_axis = commands[4]
y_axis = commands[5]
##Loads raw fcs data from cloud storage
Ana.load_fcs(name)
## Creates visualisation and .fcs file of gate
exitcode = Ana.kmeans_gate(name, cluster_names, number_clusters, x_axis, y_axis)
number = int(number_clusters)
names = cluster_names.split(" ")
if(exitcode == 0):
for i in range(0, number):
current_gate_name = names[i]
## Saves visualisation of gate to cloud storage
save_gate(current_gate_name)
## Clean up
gate_clean_up(current_gate_name)
os.remove(name)
return True
def visualise(commands): # Get name. name = commands[1] ## Load raw fcs data from cloud storage. Ana.load_fcs(name) ## Create visualisation of raw fcs data. exitcode = Ana.visualise(name) if(exitcode == 0): ## Save visualisation to cloud storage. Ana.save_vis(name + '.png') ## Saves info about fcs file to cloud storage Ana.save_info(name + 'info.txt') Ana.save_info(name + '.txt') ## Clean up. os.remove(name) os.remove(name + '.png') os.remove(name + '.txt') os.remove(name + 'info.txt') return True
def change_plot(commands): name = commands[1] plot_name = commands[4] ##Load raw fcs data from cloud storage Ana.load_fcs(name) ##Create visualisation of graph with different plot type if(commands[0] == 'dot_plot'): exitcode = Ana.dot_plot(name, plot_name, commands[2], commands[3]) elif(commands[0] == 'contour_plot'): exitcode = Ana.contour_plot(name, plot_name, commands[2], commands[3]) if(exitcode == 0): ## Saves visualisation to cloud storage Ana.save_vis(plot_name) ## Clean up os.remove(name) os.remove(plot_name) return True
def axis_change(commands): name = commands[1] x_axis = commands[2] y_axis = commands[3] new_name = commands[4] ##Loads raw fcs data from cloud storage Ana.load_fcs(name) ##Creates a visualisation of the graph with different axis exitcode = Ana.change_axis(name, x_axis, y_axis, new_name) if(exitcode == 0): ##Saves visualisation to cloud storage Ana.save_vis(new_name + '.png') ##Saves info file to cloud storage Ana.save_info(new_name + 'info.txt') Ana.save_info(new_name + '.txt') ##Saves .fcs file Ana.save_fcs(new_name) ## Clean up os.remove(name) os.remove(new_name) os.remove(new_name + '.txt') os.remove(new_name + 'info.txt') os.remove(new_name + '.png') return True
