def generate_csa(result_pk, monitor_pk=None):
result = models.Results.objects.get(pk=result_pk)
report_dir = result.get_report_dir()
raw_data_dir = result.experiment.expDir
try:
monitor = models.FileMonitor.objects.get(pk=monitor_pk)
except models.FileMonitor.DoesNotExist:
monitor = models.FileMonitor()
monitor.tags = "generate_csa"
csa_file_name = "csa_{0:04d}.zip".format(int(result_pk))
monitor.status = "Generating"
monitor.local_dir = report_dir
monitor.name = csa_file_name
monitor.save()
# Generate report PDF file.
# This will create a file named report.pdf in results directory
makePDF.write_report_pdf(result_pk)
csa_path = makeCSA.makeCSA(report_dir, raw_data_dir, monitor.name)
digest_hex, digest_64, size = md5_stats_file(csa_path)
monitor.md5sum = digest_hex
monitor.size = size
monitor.status = "Generated"
monitor.save()
def generate_csa(result_pk, monitor_pk=None):
result = models.Results.objects.get(pk=result_pk)
report_dir = result.get_report_dir()
raw_data_dir = result.experiment.expDir
try:
monitor = models.FileMonitor.objects.get(pk=monitor_pk)
except models.FileMonitor.DoesNotExist:
monitor = models.FileMonitor()
monitor.tags = "generate_csa"
csa_file_name = "csa_{0:04d}.zip".format(int(result_pk))
monitor.status = "Generating"
monitor.local_dir = report_dir
monitor.name = csa_file_name
monitor.save()
# Generate report PDF file.
# This will create a file named report.pdf in results directory
makePDF.write_report_pdf(result_pk)
csa_path = makeCSA.makeCSA(report_dir, raw_data_dir, monitor.name)
digest_hex, digest_64, size = md5_stats_file(csa_path)
monitor.md5sum = digest_hex
monitor.size = size
monitor.status = "Generated"
monitor.save()