def _worker_process_to_calculate_tod_reliabilities(idx, queue, lck, data_path, db_info):
import gc
from pyticas.tool import tb
from pyticas_tetres.db.tetres import conn
from pyticas.infra import Infra
logger = getLogger(__name__)
# initialize
logger.debug('[TOD Reliability Worker %d] starting...' % (idx))
ticas.initialize(data_path)
Infra.get_infra()
conn.connect(db_info)
logger.debug('[TOD Reliability Worker %d] is ready' % (idx))
while True:
ttr_id, target_date, num, total = queue.get()
if target_date is None:
exit(1)
try:
logger.debug('[TOD Reliability Worker %d] (%d/%d) calculating for route=%s at %s' % (
idx, num, total, ttr_id, target_date.strftime('%Y-%m-%d')))
traveltime_info.calculate_TOD_reliabilities(ttr_id, target_date, lock=lck)
gc.collect()
except Exception as ex:
tb.traceback(ex)
continue
def start(self, port=None, debug=True, ssl_path=None, **kwargs):
""" start server
:type port: int
:type debug: bool
:type ssl_path: str
:rtype:
"""
logger = getLogger(__name__)
if not ticas.is_initialized():
logger.info('initializing TICAS')
ticas.initialize(self.data_path)
Infra.get_infra('', download=True) # load_data recent roadway network
logger.info('starting PyTICAS Apps')
# create key and crt for HTTPS
if ssl_path and len(ssl_path) == 2:
# ssl_path[0] : `crt` file path
# ssl_path[1] : `key` file path
logger.info('creating SSL context...')
# make_ssl_devcert(os.path.join(ssl_path, 'ssl'), host='localhost') # make dummy ssl
context = ssl.SSLContext(ssl.PROTOCOL_TLSv1_2)
context.load_cert_chain(os.path.join(ssl_path[0]), os.path.join(ssl_path[1]))
else:
context = None
# call init modules
logger.info('loading init modules...')
for app in self.apps:
app.init(self.server)
logger.info('registering service modules...')
for app in self.apps:
app.register_service(self.server)
# run api web service
if not port:
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# faverolles 12/19/2019: socket change
# sock.bind(('localhost', 0))
sock.bind(('0.0.0.0', 0))
port = sock.getsockname()[1]
sock.close()
self.server.run(debug=debug, port=port, ssl_context=context, **kwargs)
logger.info('program terminated')
def ramp_passage_volume(ent, prd, **kwargs):
""" return total volume of passage detector
if there is a merge detector, use volume of merge detector
if there is passage and bypass detectors, use passage flow rates - bypass volume
if there is no passage detector, use volume of bypass detector
:type ent: pyticas.ttypes.RNodeObject
:type prd: pyticas.ttypes.Period
"""
infra = kwargs.get('infra', Infra.get_infra())
ddr = infra.ddr
merges = ent.get_merge_detectors()
passages = ent.get_passage_detectors()
bypasses = ent.get_bypass_detectors()
n_data = len(prd.get_timeline())
volumes = [-1] * n_data
if merges:
volumes = _total_volume(ddr, merges, prd)
elif passages:
volumes = _total_volume(ddr, passages, prd)
if bypasses:
b_vols = _total_volume(ddr, bypasses, prd)
volumes = [ max(v - b_vols[idx], 0) if b_vols[idx] > 0 else v for idx, v in enumerate(volumes) ]
elif bypasses:
volumes = _total_volume(ddr, bypasses, prd)
return volumes
def create_route(srn_name, ern_name, name='', desc='', **kwargs):
""" Return `Route` that is from `srn_name` to `ern_name`
:param srn_name: start rnode name
:type srn_name: str
:param ern_name: end rnode name
:type ern_name: str
:type name: str
:type desc: str
:rtype: pyticas.ttypes.Route
"""
now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
if not name:
name = 'Route @ %s' % (now)
if not desc:
desc = 'Route created at %s ' % now
infra = kwargs.get('infra', Infra.get_infra())
r = Route(name, desc)
r.infra_cfg_date = infra.cfg_date
start_rnode = infra.get_rnode(srn_name)
end_rnode = infra.get_rnode(ern_name)
r.rnodes.append(start_rnode)
betweens = infra.geo.between_rnodes(start_rnode, end_rnode)
# if not betweens and start_rnode.name == end_rnode.name:
# raise ValueError(('Cannot find end of section in creating route. ',
# 'Make sure start and end rnode information : {0} - {1}'.format(srn_name, ern_name)))
r.rnodes.extend([rn for rn in betweens])
r.rnodes.append(end_rnode)
return r
def get_traffic_data(rnode_list, prd, datatype, **kwargs):
"""
:type rnode_list: list[RNodeObject]
:type prd: Period
:type datatype: str
:rtype: list[RNodeData]
"""
dc = kwargs.get('detector_checker', None)
infra = kwargs.get('infra', Infra.get_infra())
assert isinstance(infra, Infra)
funcs = {
'u': infra.rdr.get_speed,
'tq': infra.rdr.get_total_flow,
'aq': infra.rdr.get_average_flow,
'v': infra.rdr.get_volume,
'k': infra.rdr.get_density,
'o': infra.rdr.get_occupancy,
's': infra.rdr.get_scan,
}
# res = []
# for rnode in rnode_list:
# res.append(funcs[datatype](rnode, prd, dc))
# return res
worker = Worker(n_threads=THREAD_LIMIT_PER_CALL)
for rnode in rnode_list:
worker.add_task(funcs[datatype], rnode, prd, dc)
return worker.run()
def target_station_and_snowroute_info(year):
infra = Infra.get_infra()
logger = getLogger(__name__)
logger.info(
'>>> updating relations between target station and truck route')
from pyticas_ncrtes.da.snowroute import SnowRouteDataAccess
from pyticas_ncrtes.da.target_station import TargetStationDataAccess
snrDA = SnowRouteDataAccess()
tsDA = TargetStationDataAccess()
snow_routes = snrDA.list_by_year(year)
target_stations = tsDA.list_by_year(year, as_model=True)
for tidx, ts in enumerate(target_stations):
rnode = infra.get_rnode(ts.station_id)
if not rnode:
continue
for snri in snow_routes:
if rnode in snri.route1.rnodes or rnode in snri.route2.rnodes:
ts.snowroute_id = snri.id
ts.snowroute_name = snri._snowroute_group.name
if tidx and tidx % 100:
snrDA.commit()
snrDA.commit()
snrDA.close()
tsDA.close()
logger.info(
'<<< end of updating relations between target station and truck route')
def ramp_queue_flow(ent, prd, **kwargs):
""" return total flow rates of queue detectors
:type ent: pyticas.ttypes.RNodeObject
:type prd: pyticas.ttypes.Period
"""
infra = kwargs.get('infra', Infra.get_infra())
volumes = ramp_queue_volume(ent, prd, infra=infra)
return [(v * 3600 / prd.interval if v > 0 else cfg.MISSING_VALUE) for v in volumes]
def _estimation_process(id, queue, counters, lock, data_path, DB_INFO, CAD_DB_INFO, IRIS_DB_INFO):
"""
:type id: int
:type queue: Queue
:type counters: dict
:type lock: Lock
:type data_path: str
:type DB_INFO: dict
:type CAD_DB_INFO: dict
:type IRIS_DB_INFO: dict
"""
from pyticas_tetres.db.tetres import conn
from pyticas_tetres.db.iris import conn as iris_conn
from pyticas_tetres.db.cad import conn as cad_conn
logger = getLogger(__name__)
# initialize
logger.debug('[EST WORKER %d] starting...' % (id))
ticas.initialize(data_path)
infra = Infra.get_infra()
conn.connect(DB_INFO)
cad_conn.connect(CAD_DB_INFO)
iris_conn.connect(IRIS_DB_INFO)
# db session is created here
ttr_da = TTRouteDataAccess()
logger.debug('[EST WORKER %d] is ready' % (id))
while True:
(a_route_id, eparam, uid) = queue.get()
try:
logger.debug('[EST WORKER %d] >>>>> start estimation (uid=%s, route=%d)' % (id, uid, a_route_id))
_eparam = eparam.clone()
try:
_eparam.add_start_time_offset(offset=5)
except Exception as e:
logger.debug('Could not add five minutes offset to the starting time. Error: {}'.format(e))
_eparam.travel_time_route = ttr_da.get_by_id(a_route_id)
estimation.estimate(_eparam, uid)
logger.debug('[EST WORKER %d] <<<<< end of estimation (uid=%s, route=%d)' % (id, uid, a_route_id))
except Exception as ex:
tb.traceback(ex)
logger.debug('[EST WORKER %d] <<<<< end of task (exception occured) (uid=%s)' % (id, uid))
should_pack = False
with lock:
counters[uid] = counters[uid] - 1
if counters[uid] <= 0:
del counters[uid]
should_pack = True
if should_pack:
logger.debug('[EST WORKER %d] >>> make compressed file (uid=%s)' % (id, uid))
_pack_result(uid)
logger.debug('[EST WORKER %d] <<< end of making compressed file (uid=%s)' % (id, uid))
def _worker_process_to_specific_categorization(idx, queue, lck, data_path,
db_info, **kwargs):
from pyticas_tetres.db.tetres import conn
from pyticas.infra import Infra
from pyticas.tool import tb
from pyticas_tetres.rengine.cats import incident, snowmgmt, specialevent, weather, workzone
logger = getLogger(__name__)
# initialize
logger.debug('[TT-Categorization Worker %d] starting...' % (idx))
ticas.initialize(data_path)
infra = Infra.get_infra()
conn.connect(db_info)
categorizers = []
categorizer_names = kwargs.get("categorizer_names")
categorizer_map = {
"incident": incident,
"snowmgmt": snowmgmt,
"specialevent": specialevent,
"weather": weather,
"workzone": workzone
}
for categorizer_name in categorizer_names:
categorizers.append(categorizer_map.get(categorizer_name))
da_route = TTRouteDataAccess()
logger.debug('[TT-Categorization Worker %d] is ready' % (idx))
while True:
ttr_id, prd, num, total = queue.get()
if prd is None:
da_route.close_session()
exit(1)
try:
ttri = da_route.get_by_id(ttr_id)
if not ttri:
logger.debug(
'[TT-Categorization Worker %d] route is not found (%s)' %
(idx, ttr_id))
continue
logger.debug(
'[TT-Categorization Worker %d] (%d/%d) %s (id=%s) at %s' %
(idx, num, total, ttri.name, ttri.id, prd.get_date_string()))
tt_da = TravelTimeDataAccess(prd.start_date.year)
tt_data_list = tt_da.list_by_period(ttri.id, prd)
tt_da.close_session()
for cidx, categorizer in enumerate(categorizers):
n_inserted = categorizer.categorize(ttri,
prd,
tt_data_list,
lock=lck)
gc.collect()
except Exception as ex:
tb.traceback(ex)
continue
def get_infra():
""" returns `Infra` object. All modules must get `Infra` object from this function.
:rtype: pyticas.infra.Infra
"""
global infra
infra = Infra.get_infra()
return infra
def run(route, prd, **kwargs):
"""
:type route: pyticas.ttypes.Route
:type prd: pyticas.ttypes.Period
:return:
"""
infra = kwargs.get('infra', Infra.get_infra())
kwargs['detector_checker'] = route.get_detector_checker()
return get_total_flow(infra, route.get_rnodes(), prd, **kwargs)
def _worker_process_to_calculate_tt_and_categorize(idx, queue, lck, data_path,
db_info):
from pyticas_tetres.db.tetres import conn
from pyticas.infra import Infra
from pyticas.tool import tb
from pyticas_tetres.rengine.cats import weather, incident, snowmgmt, specialevent, workzone
logger = getLogger(__name__)
# initialize
logger.debug('[TT-Categorization Worker %d] starting...' % (idx))
ticas.initialize(data_path)
infra = Infra.get_infra()
conn.connect(db_info)
categorizers = [weather, incident, workzone, specialevent, snowmgmt]
da_route = TTRouteDataAccess()
logger.debug('[TT-Categorization Worker %d] is ready' % (idx))
while True:
ttr_id, prd, num, total = queue.get()
if prd is None:
da_route.close_session()
exit(1)
try:
ttri = da_route.get_by_id(ttr_id)
if not ttri:
logger.debug(
'[TT-Categorization Worker %d] route is not found (%s)' %
(idx, ttr_id))
continue
logger.debug(
'[TT-Categorization Worker %d] (%d/%d) %s (id=%s) at %s' %
(idx, num, total, ttri.name, ttri.id, prd.get_date_string()))
is_inserted = traveltime.calculate_a_route(
prd, ttri, dbsession=da_route.get_session(), lock=lck)
if not is_inserted:
logger.warning(
'[TT-Categorization Worker %d] - fail to add travel time data'
% idx)
tt_da = TravelTimeDataAccess(prd.start_date.year)
tt_data_list = tt_da.list_by_period(ttri.id, prd)
tt_da.close_session()
for cidx, categorizer in enumerate(categorizers):
n_inserted = categorizer.categorize(ttri,
prd,
tt_data_list,
lock=lck)
gc.collect()
except Exception as ex:
tb.traceback(ex)
continue
def create_route_config(rnodes, **kwargs):
"""
:type rnodes: list[pyticas.ttypes.RNodeObject]
:rtype: pyticas.ttypes.RouteConfig
"""
infra_cfg_date = kwargs.get('infra_cfg_date', None)
infra = kwargs.get('infra', Infra.get_infra(infra_cfg_date))
(rns, orns) = infra.geo.opposite_rnodes(rnodes)
rc = RouteConfig()
rc.infra_cfg_date = infra.cfg_date
rc.add_nodes(rns, orns)
organize(rc)
return rc
def _moe(moe_func, moe_name, **kwargs):
"""
:type moe_func: callable
:type moe_name: str
:return:
"""
try:
route_json = request.form.get('route', None)
periods = request.form.get('periods', None)
if not route_json or not periods:
return prot.response_error('Invalid Parameter')
r = json2route(route_json)
period_list = []
for prdinfo in json.loads(periods):
prd = period.create_period(
(prdinfo['start_year'], prdinfo['start_month'], prdinfo['start_date'], prdinfo['start_hour'],
prdinfo['start_min']),
(prdinfo['end_year'], prdinfo['end_month'], prdinfo['end_date'], prdinfo['end_hour'],
prdinfo['end_min']),
prdinfo['interval']
)
period_list.append(prd)
tmp_dir = Infra.get_infra().get_path('moe_tmp', create=True)
uid = str(uuid.uuid4())
est_file = os.path.join(tmp_dir, '%s.xlsx' % uid)
res = moe_func(r, period_list)
write = kwargs.get('write_function', writer.write)
write(est_file, r, res, **kwargs)
encoded = None
with open(est_file, 'rb') as f:
xlsx_content = f.read()
encoded = base64.b64encode(xlsx_content)
if not encoded:
return prot.response_error('ERROR : %s' % moe_name)
os.remove(est_file)
return prot.response_success(obj=encoded.decode('utf-8'))
except Exception as ex:
tb.traceback(ex)
return prot.response_error('ERROR : %s' % moe_name)
def ramp_queue_volume(ent, prd, **kwargs):
""" return total volume of queue detectors
if there is no queue detectors in the entrance,
use passage volume * PASSAGE_DEMAND_FACTOR
:type ent: pyticas.ttypes.RNodeObject
:type prd: pyticas.ttypes.Period
"""
infra = kwargs.get('infra', Infra.get_infra())
queues = ent.get_queue_detectors()
if any(queues):
return _total_volume(infra.ddr, queues, prd)
else:
return [-1]*len(prd.get_timeline())
def _output_path(sub_dir='', create=True):
infra = Infra.get_infra()
if sub_dir:
output_dir = infra.get_path('moe/%s' % sub_dir, create=create)
else:
output_dir = infra.get_path('moe', create=create)
if create and not os.path.exists(output_dir):
os.makedirs(output_dir)
return os.path.abspath(output_dir)
if os.path.exists(output_dir):
return os.path.abspath(output_dir)
else:
return output_dir
def tetres_admin_xlsx_content_from_route():
route_content = request.form.get('route')
r = json2route(route_content)
try:
tmp_dir = Infra.get_infra().get_path('tmp', create=True)
uid = str(uuid.uuid4())
filepath = os.path.join(tmp_dir, '%s.xlsx' % uid)
if not r.cfg:
r.cfg = route_config.create_route_config(r.rnodes)
rc.writer.write(filepath, r)
with open(filepath, 'rb') as f:
file_content = f.read()
encoded = base64.b64encode(file_content)
return prot.response_success(obj=encoded.decode('utf-8'))
except Exception as ex:
tb.traceback(ex)
return prot.response_fail('fail to write route')
def _worker_process_to_create_or_update_tt_and_moe(idx, queue, lck, data_path,
db_info, **kwargs):
from pyticas_tetres.db.tetres import conn
from pyticas.infra import Infra
from pyticas.tool import tb
logger = getLogger(__name__)
# initialize
logger.debug('[TT-Categorization Worker %d] starting...' % (idx))
ticas.initialize(data_path)
infra = Infra.get_infra()
conn.connect(db_info)
rw_moe_param_json = kwargs.get("rw_moe_param_json")
da_route = TTRouteDataAccess()
logger.debug('[TT-Categorization Worker %d] is ready' % (idx))
while True:
ttr_id, prd, num, total = queue.get()
if prd is None:
da_route.close_session()
exit(1)
try:
ttri = da_route.get_by_id(ttr_id)
if not ttri:
logger.debug(
'[TT-Categorization Worker %d] route is not found (%s)' %
(idx, ttr_id))
continue
logger.debug(
'[TT-Categorization Worker %d] (%d/%d) %s (id=%s) at %s' %
(idx, num, total, ttri.name, ttri.id, prd.get_date_string()))
traveltime.calculate_tt_moe_a_route(
prd,
ttri,
dbsession=da_route.get_session(),
lock=lck,
create_or_update=True,
rw_moe_param_json=rw_moe_param_json)
gc.collect()
except Exception as ex:
logger.warning(
'[TT-Categorization Worker %d] - fail to add travel time data'
% idx)
tb.traceback(ex)
continue
def ramp_queue_occupancy(ent, prd, agg_method='max', **kwargs):
""" return average occupancy of queue detectors
:type ent: pyticas.ttypes.RNodeObject
:type prd: pyticas.ttypes.Period
:param agg_method: aggregation method. it can be 'avg' or 'max' or 'min' or 'sum'
:type agg_method: str
"""
infra = kwargs.get('infra', Infra.get_infra())
ddr = infra.ddr
queues = ent.get_queue_detectors()
if any(queues):
occs = []
for q in queues:
occs.append(ddr.get_occupancy(q, prd))
occ_data = []
q_count = len(queues)
for didx in range(len(occs[0])):
total = 0
min_value = 999
max_value = -999
for qidx in range(q_count):
o = occs[qidx][didx]
if min_value > o: min_value = o
if max_value < o: max_value = o
total += o
avg = total / q_count if total > 0 else 0
if agg_method == 'avg':
occ_data.append(avg)
elif agg_method == 'min':
occ_data.append(min_value)
elif agg_method == 'max':
occ_data.append(max_value)
elif agg_method == 'sum':
occ_data.append(total)
del occs
return occ_data
return None
def route_setup(r):
""" initialize `Route` converted from json
(`rnode` and `corridor` must be connected to their instances)
:type r: ROute
:return:
"""
logger = getLogger(__name__)
infra = Infra.get_infra()
rnodes = []
for ridx, rn in enumerate(r.rnodes):
rnode_object = infra.get_rnode(rn)
if rnode_object is None:
logger.warn('rnode is not found : %s' % rn)
continue
rnodes.append(rnode_object)
r.rnodes = rnodes
if hasattr(r, 'cfg') and r.cfg:
for nidx, ns in enumerate(r.cfg.node_sets):
if hasattr(ns.node1, 'rnode') and ns.node1.rnode:
r.cfg.node_sets[nidx].node1.rnode = infra.get_rnode(
ns.node1.rnode)
else:
r.cfg.node_sets[nidx].node1.rnode = None
if hasattr(ns.node2, 'rnode') and ns.node2.rnode:
r.cfg.node_sets[nidx].node2.rnode = infra.get_rnode(
ns.node2.rnode)
else:
r.cfg.node_sets[nidx].node2.rnode = None
try:
ns.node1.corridor = infra.get_corridor_by_name(
ns.node1.corridor)
ns.node2.corridor = infra.get_corridor_by_name(
ns.node2.corridor)
except AttributeError as ex:
raise ex
def get_infra():
infra = Infra.get_infra()
corridors = []
for corr in sorted(infra.get_corridors(), key=lambda c: c.name):
corridors.append(corr.__dict__)
try:
rnodes = _get_items(infra.rnodes)
dets = _get_items(infra.detectors)
dmss = _get_items(infra.dmss)
cams = _get_items(infra.cameras)
meters = _get_items(infra.meters)
configs = {}
for k in SHARED_CONFIGS:
configs[k] = getattr(ticas_cfg, k)
configs['ROUTE_CLASS'] = types.Route.__name__
configs['ROUTE_MODULE'] = types.Route.__module__
api_urls_info = {}
for k, v in api_urls.__dict__.items():
if k.startswith('_'): continue
api_urls_info[k] = v
return jsonify({
'config': configs,
'api_urls' : api_urls_info,
'corridor_list': corridors,
'rnode_list': rnodes,
'detector_list': dets,
'dms_list': dmss,
'camera_list': cams,
'meter_list': meters,
}, indent=4, only_name=True )
except Exception as ex:
import sys, traceback
print('-' * 60)
traceback.print_exc(file=sys.stdout)
print('-' * 60)
def _worker_process(id, queue, counters, lock, data_path, DB_INFO, CAD_DB_INFO,
IRIS_DB_INFO):
"""
:type id: int
:type queue: Queue
:type counters: dict
:type lock: Lock
:type data_path: str
:type DB_INFO: dict
:type CAD_DB_INFO: dict
:type IRIS_DB_INFO: dict
"""
from pyticas_tetres.db.tetres import conn
from pyticas_tetres.db.iris import conn as iris_conn
from pyticas_tetres.db.cad import conn as cad_conn
logger = getLogger(__name__)
# initialize
logger.debug('[ADMIN WORKER %d] starting...' % (id))
ticas.initialize(data_path)
infra = Infra.get_infra()
conn.connect(DB_INFO)
cad_conn.connect(CAD_DB_INFO)
iris_conn.connect(IRIS_DB_INFO)
logger.debug('[ADMIN WORKER %d] is ready' % (id))
while True:
(_uid, _task_added_time, _task, _args, _kwargs) = queue.get()
try:
logger.debug('[ADMIN WORKER %d] >>>>> start to run task (uid=%s)' %
(id, _uid))
_task(*_args, **_kwargs)
logger.debug('[ADMIN WORKER %d] <<<<< end of task (uid=%s)' %
(id, _uid))
except Exception as ex:
tb.traceback(ex)
logger.debug(
'[ADMIN WORKER %d] <<<<< end of task (exception occured) (uid=%s)'
% (id, _uid))
def get_total_flow(infra, rnode_list, prd, **kwargs):
"""
:typoe infra: Infra
:type rnode_list: list[pyticas.ttypes.RNodeObject]
:type prd: Period
:rtype: list[RNodeData]
"""
dc = kwargs.get('detector_checker', None)
infra = kwargs.get('infra', Infra.get_infra())
results = []
for rnode in rnode_list:
res = None
if rnode.is_station():
res = infra.rdr.get_total_flow(rnode, prd, dc)
elif rnode.is_entrance():
res = _tq_entrance(infra, rnode, prd, dc=dc)
elif rnode.is_exit():
res = _tq_exit(infra, rnode, prd, dc=dc)
else:
continue
results.append(res)
return results
import time
import sys
sys.path.append("Server/src")
import global_settings
import dbinfo
if __name__ == '__main__':
from pyticas import ticas
from pyticas.infra import Infra
from pyticas_tetres.db.cad import conn as conn_cad
from pyticas_tetres.db.iris import conn as conn_iris
from pyticas_tetres.db.tetres import conn
ticas.initialize(global_settings.DATA_PATH)
infra = Infra.get_infra()
conn.connect(dbinfo.tetres_db_info())
conn_cad.connect(dbinfo.cad_db_info())
conn_iris.connect(dbinfo.iris_incident_db_info())
time.sleep(1)
print('')
print(
'!! Do not run multiple instances of this program. (DB sync problem can be caused in bulk-insertion and deletion)')
print('!! Stop TeTRES Server if it is running.')
print('')
print('# loads weather data for the given time period')
print('')
def _output_dir(year):
"""
:type year: int or str
:rtype: str
"""
return Infra.get_infra().get_path('%s/%s' % (ISD_DIR, year), create=True)
def run(pid, stations, months, data_path, db_info):
""" target station identification main process
Parameters
===========
- pid : process identification for multi-processing
- stations : station list
- months : month list
- data_path : TICAS data path
:type pid: int
:type stations: list[str]
:type months: list[(int, int)]
:type data_path : str
:type db_info: dict
:return:
"""
if db_info:
Infra.initialize(data_path)
infra = Infra.get_infra()
if conn.Session == None:
conn.connect(db_info)
else:
infra = ncrtes.get_infra()
logger = getLogger(__name__)
logger.info('starting target station identification')
wsDA = WinterSeasonDataAccess()
nfDA = NormalFunctionDataAccess()
tsDA = TargetStationDataAccess()
# process start time
stime = time.time()
n_stations = len(stations)
cnt = 0
for sidx, st in enumerate(stations):
station = infra.get_rnode(st)
logger.info('# PID=%d, SIDX=%d/%d, STATION=%s' % (pid, sidx, n_stations, st))
try:
nf = nsrf.get_normal_function(station, months, wsDA=wsDA, nfDA=nfDA, tsDA=tsDA, autocommit=True)
if nf and nf.is_valid():
logger.info(' - %s is valid' % station.station_id)
else:
logger.debug(' - %s is not valid (nf=%s)' % (station.station_id, nf))
# cnt += 1
#
# if cnt and cnt % 20 == 0:
# logger.warning(' - commmit!!')
# wsDA.commit()
# nfDA.commit()
# tsDA.commit()
except Exception as ex:
logger.warning(tb.traceback(ex, False))
# wsDA.commit()
# nfDA.commit()
# tsDA.commit()
# logger.warning(' - commmit!! (final)')
wsDA.close()
nfDA.close()
tsDA.close()
etime = time.time()
logger.info('end of target station identification (elapsed time=%s)' % timeutil.human_time(seconds=(etime - stime)))
def _output_dir(year):
"""
:type year: int or str
:rtype: str
"""
return Infra.get_infra().get_path(QCLCD_DATA_DIR, create=True)
def cumulative_input_output(ent, prd, **kwargs):
""" return estimated cumulative input and output of the entrance
:type ent: pyticas.ttypes.RNodeObject
:type prd: pyticas.ttypes.Period
"""
infra = kwargs.get('infra', Infra.get_infra())
ddr = infra.ddr
queue_full_count = 0
queue_empty_count = 0
green_accum = 0
occ = ramp_queue_occupancy(ent, prd, 'max')
input = ramp_queue_volume(ent, prd)
output = ramp_passage_volume(ent, prd)
if input == None or output == None:
return None, None
greens = ent.get_green_detectors()
green_volumes = ddr.get_volume(greens[0], prd) if any(greens) else [0] * len(output)
cumulative_input = []
cumulative_output = []
cumulative_input.append(max(input[0], 0))
cumulative_output.append(max(output[0], 0))
reset_count = 0
met = ent.meters[0]
for idx in range(1, len(input)):
passage_failure = output[idx] < 0
green_accum += (green_volumes[idx] if green_volumes[idx] > 0 else 0)
queue_length = max(cumulative_input[idx - 1] - cumulative_output[idx - 1], 0)
estimated_under_count = 0
# if occupancy is high
if occ[idx] > QUEUE_OCC_THRESHOLD:
queue_full_count += 1
max_storage = met.storage * ent.lanes * K_JAM_RAMP / tmc.feet_per_mile
under = max_storage - queue_length
queue_overflow_ratio = min(2 * queue_full_count * 30.0 / max(met.max_wait, 1), 1)
min_demand_adjustment = int(round(queue_full_count * 30 / 60)) * 30 / 60.0
estimated_under_count = max(queue_overflow_ratio * under, min_demand_adjustment)
input_volume = input[idx] + estimated_under_count
else:
queue_full_count = 0
input_volume = input[idx]
ci = cumulative_input[idx - 1] + max(input_volume, 0)
co = cumulative_output[idx - 1] + max(output[idx], 0)
# reset cumulative data
# count queue empty
# if count queue empty > 3 time stpes
is_demand_below_passage = ci - co < -1
is_passage_below_green = co - green_accum < -1
is_queue_volume_low = is_demand_below_passage or is_passage_below_green
if is_queue_volume_low and occ[idx] < QUEUE_OCC_THRESHOLD:
queue_empty_count += 1
else:
queue_empty_count = 0
if queue_empty_count >= QUEUE_EMPTY_STEPS:
reset_count += 1
ci = 0
co = 0
queue_full_count = 0
queue_empty_count = 0
green_accum = 0
cumulative_input.append(ci)
cumulative_output.append(co)
return cumulative_input, cumulative_output
def _json_decoder(args):
""" Return object that is unserialized
:type args: dict
:rtype: object
"""
# for `datetime.datetime`
if '__type__' in args and args['__type__'] == 'datetime':
inst = datetime.datetime.strptime(args['datetime'],
'%Y-%m-%d %H:%M:%S')
elif '__type__' in args and args['__type__'] == 'date':
inst = datetime.datetime.strptime(args['date'], '%Y-%m-%d').date()
elif '__type__' in args and args['__type__'] == 'time':
inst = datetime.datetime.strptime(args['time'], '%H:%M:%S').time()
elif '__type__' in args and args['__type__'] == 'numpy.ndarray':
inst = numpy.array(args['list'])
elif '__type__' in args and args['__type__'] in numpy_types:
inst = eval(args['__type__'])(args['item'])
elif '__enum__' in args:
if '.' in args["__enum__"]:
name, member = args["__enum__"].split(".")
else:
member = args["__enum__"]
name = 'ValidState'
enumObj = _find_serializable_class(name)
return getattr(enumObj, member)
# for `InfraObject` class
elif '_obj_type_' in args and 'name' in args:
_obj_type_ = args.pop('_obj_type_')
getter = 'get_%s' % _obj_type_.lower()
from pyticas.infra import Infra
inst = getattr(Infra.get_infra(args.get('infra_cfg_date', '')),
getter)(args['name'])
# for `Serializable` class
elif '__class__' in args:
class_name = args.pop('__class__')
module_name = args.pop('__module__', None)
try:
module = import_module(module_name)
cls = getattr(module, class_name)
# if module is not found by changing module name or path
except Exception as ex:
tb.traceback(ex)
getLogger(__name__).error('fail to unserialize for %s.%s' %
(module_name, class_name))
cls = _find_serializable_class(class_name)
if cls and hasattr(cls, 'unserialize'):
args = dict((key, value) for key, value in args.items())
inst = cls.unserialize(args)
else:
inst = args
else:
inst = args
if hasattr(inst, '__unserialized__'):
inst.__unserialized__()
return inst
def station_list_file():
"""
:rtype: str
"""
output_dir = Infra.get_infra().get_path(ISD_DIR, create=True)
return os.path.join(output_dir, 'isd-history.csv')
