def __init__(self,
path,
time_interval=timedelta(minutes=5),
gridvalueClass=GridStateFromFile,
sep=";",
max_iter=-1,
chunk_size=None):
GridValue.__init__(self,
time_interval=time_interval,
max_iter=max_iter,
chunk_size=chunk_size)
self.gridvalueClass = gridvalueClass
self.data = None
self.path = os.path.abspath(path)
self.sep = sep
try:
self.subpaths = [
os.path.join(self.path, el) for el in os.listdir(self.path)
if os.path.isdir(os.path.join(self.path, el))
]
self.subpaths.sort()
self.subpaths = np.array(self.subpaths)
except FileNotFoundError:
raise ChronicsError("Path \"{}\" doesn't exists.".format(
self.path)) from None
if len(self.subpaths) == 0:
raise ChronicsNotFoundError(
"Not chronics are found in \"{}\". Make sure there are at least "
"1 chronics folder there.".format(self.path))
# np.random.shuffle(self.subpaths)
self.id_chron_folder_current = 0
self.chunk_size = chunk_size
def __init__(self,
path,
sep=";",
time_interval=timedelta(minutes=5),
max_iter=-1,
start_datetime=datetime(year=2019, month=1, day=1),
chunk_size=None):
"""
Build an instance of GridStateFromFile. Such an instance should be built before an :class:`grid2op.Environment`
is created.
Parameters
----------
path: ``str``
Used to initialize :attr:`GridStateFromFile.path`
sep: ``str``, optional
Used to initialize :attr:`GridStateFromFile.sep`
time_interval: ``datetime.timedelta``
Used to initialize :attr:`GridValue.time_interval`
max_iter: int, optional
Used to initialize :attr:`GridValue.max_iter`
"""
GridValue.__init__(self, time_interval=time_interval, max_iter=max_iter, start_datetime=start_datetime,
chunk_size=chunk_size)
self.path = path
self.n_ = None # maximum number of rows of the array
self.tmp_max_index = None # size maximum of the current tables in memory
self.load_p = None # numpy array corresponding to the current active load values in the power _grid. It has the same size as the number of loads
self.load_q = None # numpy array corresponding to the current reactive load values in the power _grid. It has the same size as the number of loads
self.prod_p = None # numpy array corresponding to the current active production values in the power _grid. It has the same size as the number of generators
self.prod_v = None # numpy array corresponding to the current voltage production setpoint values in the power _grid. It has the same size as the number of generators
# for the two following vector, the convention is the following: False(line is disconnected) / True(line is connected)
self.hazards = None # numpy array representing the outage (unplanned), same size as the number of powerlines on the _grid.
self.maintenance = None # numpy array representing the _maintenance (planned withdrawal of a powerline), same size as the number of powerlines on the _grid.
self.current_index = -1
self.sep = sep
self.names_chronics_to_backend = None
# added to provide an easier access to read data in chunk
self.chunk_size = chunk_size
self._data_chunk = {}
self._order_load_p = None
self._order_load_q = None
self._order_prod_p = None
self._order_prod_v = None
self._order_hazards = None
self._order_maintenance = None
# order of the names in the backend
self._order_backend_loads = None
self._order_backend_prods = None
self._order_backend_lines = None
def __init__(self,
time_interval=timedelta(minutes=5),
max_iter=-1,
start_datetime=datetime(year=2019, month=1, day=1),
chunk_size=None,
**kargs):
GridValue.__init__(self,
time_interval=time_interval,
max_iter=max_iter,
start_datetime=start_datetime,
chunk_size=chunk_size)
def __init__(self,
path,
time_interval=timedelta(minutes=5),
start_datetime=datetime(year=2019, month=1, day=1),
gridvalueClass=GridStateFromFile,
sep=";",
max_iter=-1,
chunk_size=None):
GridValue.__init__(self,
time_interval=time_interval,
max_iter=max_iter,
chunk_size=chunk_size,
start_datetime=start_datetime)
self.gridvalueClass = gridvalueClass
self.data = None
self.path = os.path.abspath(path)
self.sep = sep
try:
self.subpaths = [
os.path.join(self.path, el) for el in os.listdir(self.path)
if os.path.isdir(os.path.join(self.path, el))
]
self.subpaths.sort()
self.subpaths = np.array(self.subpaths)
except FileNotFoundError:
raise ChronicsError("Path \"{}\" doesn't exists.".format(
self.path)) from None
if len(self.subpaths) == 0:
raise ChronicsNotFoundError(
"Not chronics are found in \"{}\". Make sure there are at least "
"1 chronics folder there.".format(self.path))
# TODO clarify that
# np.random.shuffle(self.subpaths)
self.chunk_size = chunk_size
# for saving
self._order_backend_loads = None
self._order_backend_prods = None
self._order_backend_lines = None
self._order_backend_subs = None
self._names_chronics_to_backend = None
# improving looping strategy
self._filter = self._default_filter
self._prev_cache_id = 0
self._order = None