def execute(state):
"""Execute state"""
# Debug config
_D.DEBUG(__name__, "App execute")
# Execute runlogr
err, msg = runlogr.execute(state.states.runlogr)
if err:
_D.ERROR(__name__, "Error executing runlogr", "msg", msg)
return 0, None
# Check if last run completed
running = runlogr.get_section_item(state.states.runlogr, "app", "running<bool>")
# Disallow to run if another instance is active
if running:
msg = "Oops, exiting. Another instance of Aeroback is still marked as running. If you believe that's not the case then manually change in section [app] parameter 'running' to False in file: {}".format(
runlogr.get_filepath(state.states.runlogr)
)
state.add_msg_error(msg)
_D.ERROR(__name__, "Another instance may still be running", "msg", msg)
return 0, None
# Update runlog with app start
runlogr.set_section(state.states.runlogr, "app", {"last_run<time>": state.model.date, "running<bool>": True})
# Execute main logic inside try-catch because
# we need to mark execution as finished
# regardless of exception
try:
err, msg = _execute(state)
except:
_D.EXCEPTION(__name__, "Exception executing app")
# Update runlog with app finish
_runlog_update_finish(state, "app", err_bool=True)
# Update runlog with app finish
_runlog_update_finish(state, "app", err_bool=False)
return 0, None
def _exec_job(state, job, job_n, jobs_count):
# Init & exec each active storage
err, msg = context.set_param("gsutil", job["gsutil"])
if err:
return 1, msg
# Report errors and keep working
# allow the job run on healthy storages
job["storstates"] = []
for storparams in job["storages"]:
if storparams["active"]:
# Create temp storager directory
dir_temp = tempfile.mkdtemp(dir=state.model.dir_temp)
# Init storager
storstate, err, msg = storager.init(state.model.date_str, state.model.date_int, dir_temp, storparams)
if err:
_D.ERROR(__name__, "Skipping storage due to error in init", "msg", msg)
continue
# Exec storager
err, msg = storager.execute(storstate)
if err:
_D.ERROR(__name__, "Skipping storage due to error in exec", "msg", msg)
continue
# Add to list of storagers states
job["storstates"].append(storstate)
# Any storagers configured ?
if not job["storstates"]:
return 1, "No storagers configured, aborting job"
# ... do backup jobs ...
# Run each backup type for each storage
# Report errors and keep working
for backup in job["backups"]:
if backup["active"]:
# Check previous backup finished
section_name = "{}:{}".format(backup["type"], backup["dirstorage"])
running = runlogr.get_section_item(state.states.runlogr, section_name, "running<bool>")
if running:
msg = "Previous run of the backup is still marked as running. If you believe that's not the case then manually change in section [{}] parameter 'running' to False in file: {}".format(
backup["type"], runlogr.get_filepath(state.states.runlogr)
)
state.add_msg_error(msg)
_D.ERROR(
__name__,
"Previous run of backup not yet finished",
"backup type",
backup["type"],
"distorage",
backup["dirstorage"],
"msg",
msg,
)
continue
# Check if time to run
# _time_to_run(last_run, now, period):
if not _time_to_run(
backup["type"],
runlogr.get_section_item(state.states.runlogr, section_name, "last_run<time>"),
state.model.date,
backup.get("frequency", None),
):
# Time hasn't come yet, skip this backup
continue
# Update runlog with backup type
runlogr.set_section(
state.states.runlogr, section_name, {"last_run<time>": state.model.date, "running<bool>": True}
)
# Run backup on each storage
errs = False
for storstate in job["storstates"]:
# Create unique temp directory inside dir_temp
dir_temp = tempfile.mkdtemp(dir=state.model.dir_temp)
# Execute
err, msg = _exec_backup_type(state, storstate, backup, dir_temp)
# Delete temp directory
fsutil.remove_dir_tree(dir_temp)
if err:
errs = True
_D.ERROR(__name__, "Error executing backup", "msg", msg, "params", backup)
continue
# Update runlog with backup finish
_runlog_update_finish(state, section_name, err_bool=errs)
# ... done backup jobs ...
# Add storage stats to reporting
for storstate in job["storstates"]:
cat = "Job {}/{} uploaded".format(job_n, jobs_count)
state.set_descriptor_category(
cat, storstate.model.atype, fmtutil.byte_size(storager.get_stored_stats(storstate))
)
# Cleanup storagers
# Delete temp directory
for storstate in job["storstates"]:
storager.cleanup(storstate)
fsutil.remove_dir_tree(storstate.model.dir_temp)
return 0, None