run.Run Class Reference

Inheritance diagram for run.Run:

Collaboration diagram for run.Run:

Public Member Functions
None	__init__ (self, dir_fires=None, dir=None, max_days=None, do_publish=None, do_merge=None, prepare_only=False, crs=CRS_COMPARISON, verbose=False, no_wait=False)
	load_rundata (self)
	save_rundata (self)
	is_running (self)
	check_rasters (self, remove=False)
	check_and_publish (self, ignore_incomplete_okay=True, run_incomplete=False, no_publish=None, force_copy=False, force=False, no_wait=True, require_all=False)
	process (self)
	run_until_successful_or_outdated (self, no_retry=False)
	run_until_successful (self, no_retry=False)
	save_fires (self, df_fires, save_to)
	prep_fires (self, force=False)
	load_fires (self)
	ran_all (self)
	prep_folders (self, remove_existing=False, remove_invalid=False)
	prioritize (self, df_fires, df_bounds=None)
	do_run_fire (self, dir_fire, prepare_only=False, run_only=False, no_wait=False)
	find_unprepared (self, df_fires, remove_directory=False)
	check_do_publish (self)
	check_do_merge (self)
	run_fires_in_dir (self, check_missing=True)

Public Attributes
dict	_prepare_only = {}
list	_is_batch = [os.path.join(self._dir_sims, x) for x in itertools.chain.from_iterable(dirs_sim.values())]

Protected Attributes
	_verbose = verbose
	_max_days = MAX_NUM_DAYS if not max_days else max_days
	_do_publish = do_publish
	_do_merge = do_merge
	_prepare_only = prepare_only
	_dir_fires = dir_fires
	_no_wait = no_wait
	_modelrun = None
str	_name = get_model_marker(self._dir_sims)
str	_prefix = "m3"
	_start_time = datetime.datetime.now()
str	_id = self._start_time.strftime(FMT_RUNID)
	_dir_runs = ensure_dir(os.path.join(DIR_RUNS, self._name))
	_dir_sims = ensure_dir(os.path.join(DIR_SIMS, self._name))
	_log
	_log_order
	_dir_out = ensure_dir(os.path.join(self._dir_runs, "data"))
	_dir_model = ensure_dir(os.path.join(self._dir_runs, "model"))
	_dir_output = ensure_dir(os.path.join(DIR_OUTPUT, self._name))
	_crs = crs
	_file_fires = vector_path(self._dir_out, "df_fires_prioritized")
	_num_fires_initial = None
	_file_rundata = os.path.join(self._dir_out, "run.json")
	_origin = Origin(self._start_time)
	_simulation = Simulation(self._dir_out, self._dir_sims, self._origin)
	_src_fires = SourceFireGroup(self._dir_out, self._dir_fires, self._origin)
	_is_batch = assign_sim_batch()
bool	_published_clean = False

Member Data Documentation

_log

run.Run._log

protected

Initial value:

=  add_log_file(
                os.path.join(self._dir_runs, f"log_{self._name}.log"),
                level=DEFAULT_FILE_LOG_LEVEL,
            )

_log_order

run.Run._log_order

protected

Initial value:

=  add_log_file(
                os.path.join(self._dir_runs, f"log_order_{self._name}.log"),
                level=DEFAULT_FILE_LOG_LEVEL,
                logger=LOGGER_FIRE_ORDER,
            )

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The documentation for this class was generated from the following file:

• firestarr/src/py/firestarr/run.py