def process(args, table_lines):
"""
@param args: command line or web input
@param table_lines: input lines
@return: the image data as a string
"""
rtable = RUtil.RTable(table_lines)
header_row = rtable.headers
data_rows = rtable.data
Carbone.validate_headers(header_row)
# Read the relevant columns and their labels.
plot_info = PlotInfo(args, header_row, data_rows)
# Get info for the temporary data
augmented_lines = plot_info.get_augmented_table_lines()
# Create a temporary data table file for R.
table_string = "\n".join(augmented_lines)
temp_table_name = Util.create_tmp_file(table_string, suffix=".table")
# Create a temporary pathname for the plot created by R.
temp_plot_name = Util.get_tmp_filename()
# Create a temporary R script file.
script = plot_info.get_script(args, temp_plot_name, temp_table_name)
temp_script_name = Util.create_tmp_file(script, suffix=".R")
# Call R.
retcode, r_out, r_err = RUtil.run(temp_script_name)
if retcode:
raise ValueError("R error:\n" + r_err)
# Delete the temporary data table file.
os.unlink(temp_table_name)
# Delete the temporary script file.
os.unlink(temp_script_name)
# Read the image file.
try:
with open(temp_plot_name, "rb") as fin:
image_data = fin.read()
except IOError as e:
raise HandlingError("the R call seems to not have created the plot")
# Delete the temporary image file.
os.unlink(temp_plot_name)
# Return the image data as a string.
return image_data
def process(args, table_lines):
"""
@param args: command line or web input
@param table_lines: input lines
@return: the image data as a string
"""
rtable = RUtil.RTable(table_lines)
header_row = rtable.headers
data_rows = rtable.data
Carbone.validate_headers(header_row)
# Read the relevant columns and their labels.
plot_info = PlotInfo(args, header_row, data_rows)
# Get info for the temporary data
augmented_lines = plot_info.get_augmented_table_lines()
table_string = '\n'.join(augmented_lines)
temp_table_name = Util.create_tmp_file(table_string, suffix='.table')
temp_plot_name = Util.get_tmp_filename()
script = plot_info.get_script(args, temp_plot_name, temp_table_name)
temp_script_name = Util.create_tmp_file(script, suffix='.R')
# Call R.
retcode, r_out, r_err = RUtil.run(temp_script_name)
if retcode:
raise ValueError('R error:\n' + r_err)
# Delete the temporary data table file.
os.unlink(temp_table_name)
# Delete the temporary script file.
os.unlink(temp_script_name)
# Read the image file.
try:
with open(temp_plot_name, 'rb') as fin:
image_data = fin.read()
except IOError as e:
raise HandlingError('the R call seems to not have created the plot')
# Delete the temporary image file.
os.unlink(temp_plot_name)
# Return the image data as a string.
return image_data