def api_specific_energy_providers(id, db):
"""
Returns the current energy provider,
or the specified energy provider.
"""
if id == "current":
provider = (db.query(database.Provider)
.filter_by(current=1)
.first())
else:
try:
id = int(id)
except ValueError:
abort(400, "Invalid parameter.")
provider = (db.query(database.Provider)
.filter_by(id=id)
.first())
if not provider:
provider = None
else:
provider = tools.to_dict(provider)
if provider["day_slope_watt_euros"] != provider["night_slope_watt_euros"]:
session = session_manager.get_session()
user = db.query(database.User).filter_by(login=session["login"]).first()
start_night_rate = ("%02d" % (user.start_night_rate // 3600) + ":" +
"%02d" % ((user.start_night_rate % 3600) // 60))
end_night_rate = ("%02d" % (user.end_night_rate // 3600) + ":" +
"%02d" % ((user.end_night_rate % 3600) // 60))
provider["start_night_rate"] = start_night_rate
provider["end_night_rate"] = end_night_rate
return {"data": provider}
def api_get_id(sensor, id1, db):
"""
Returns measure with id <id1> associated to sensor <sensor>, in watts.
If <id1> < 0, counts from the last measure, as in Python lists.
If no matching data is found, returns null.
"""
if id1 >= 0:
data = (db.query(database.Measures)
.filter_by(sensor_id=sensor, id=id1)
.first())
else:
data = (db.query(database.Measures)
.filter_by(sensor_id=sensor)
.order_by(desc(database.Measures.timestamp))
.slice(-id1, -id1)
.first())
if not data:
data = None
else:
data = tools.to_dict(data)
return {"data": data, "rate": get_rate_type(db)}
def do_cache_ids(sensor, watt_euros, id1, id2, db, force_refresh=False):
"""
Computes the cache (if needed) for the API call
/api/<sensor:int>/get/<watt_euros:re:watts|kwatthours|euros>/by_id/<id1:int>/<id2:int>
Returns the stored (or computed) data or None if parameters are invalid.
"""
r = redis.Redis(decode_responses=True)
if not force_refresh:
data = r.get(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2))
if data:
# If found in cache, return it
return json.loads(data)
if id1 >= 0 and id2 >= 0 and id2 >= id1:
data = (db.query(database.Measures).filter(
database.Measures.sensor_id == sensor, database.Measures.id >= id1,
database.Measures.id < id2).order_by(
asc(database.Measures.timestamp)).all())
elif id1 <= 0 and id2 <= 0 and id2 >= id1:
data = (db.query(
database.Measures).filter_by(sensor_id=sensor).order_by(
desc(database.Measures.timestamp)).slice(-id2, -id1).all())
data.reverse()
else:
return None
if not data:
data = None
else:
time1 = data[0].timestamp
time2 = data[-1].timestamp
if watt_euros == 'kwatthours' or watt_euros == 'euros':
data = tools.energy(data)
if watt_euros == 'euros':
if data["night_rate"] != 0:
night_rate = tools.watt_euros(0, 'night',
data['night_rate'], db)
else:
night_rate = 0
if data["day_rate"] != 0:
day_rate = tools.watt_euros(0, 'day', data['day_rate'], db)
else:
day_rate = 0
data = {"value": night_rate + day_rate}
else:
data = tools.to_dict(data)
# Store in cache
r.set(
watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" + str(id1) + "_" +
str(id2), json.dumps(data), time2 - time1)
return data
def do_cache_times(sensor, watt_euros, time1, time2, db, force_refresh=False):
"""
Computes the cache (if needed) for the API call
/api/<sensor:int>/get/<watt_euros:re:watts|kwatthours|euros>/by_time/<time1:float>/<time2:float>
Returns the stored (or computed) data.
"""
r = redis.Redis(decode_responses=True)
if not force_refresh:
data = r.get(watt_euros + "_" + str(sensor) + "_" + "by_time" + "_" +
str(time1) + "_" + str(time2))
if data:
# If found in cache, return it
return json.loads(data)
data = (db.query(database.Measure)
.filter(database.Measure.sensor_id == sensor,
database.Measure.timestamp >= time1,
database.Measure.timestamp < time2)
.order_by(asc(database.Measure.timestamp))
.all())
if not data:
data = None
else:
if watt_euros == "kwatthours" or watt_euros == "euros":
data = tools.energy(data)
if watt_euros == "euros":
data = {"value": (tools.watt_euros(0,
'night',
data['night_rate'],
db) +
tools.watt_euros(0,
'day',
data['day_rate'],
db))}
else:
data = tools.to_dict(data)
# Store in cache
r.set(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(time1) + "_" + str(time2),
json.dumps(data),
int(time2) - int(time1))
return data
def api_get_time(sensor, time1, db):
"""
Returns measure at timestamp <time1> for sensor <sensor>, in watts.
Returns null if no measure is found.
"""
if time1 < 0:
abort(400, "Invalid timestamp.")
data = (db.query(database.Measures).filter_by(sensor_id=sensor,
timestamp=time1).first())
if not data:
data = None
else:
data = tools.to_dict(data)
return {"data": data, "rate": get_rate_type(db)}
def api_energy_providers(db):
"""Returns all the available energy providers or null if none found."""
providers = db.query(database.Provider).all()
if not providers:
providers = None
else:
providers = tools.to_dict(providers)
for provider in providers:
if provider["day_slope_watt_euros"] != provider["night_slope_watt_euros"]:
session = session_manager.get_session()
user = db.query(database.User).filter_by(login=session["login"]).first()
start_night_rate = ("%02d" % (user.start_night_rate // 3600) + ":" +
"%02d" % ((user.start_night_rate % 3600) // 60))
end_night_rate = ("%02d" % (user.end_night_rate // 3600) + ":" +
"%02d" % ((user.end_night_rate % 3600) // 60))
provider["start_night_rate"] = start_night_rate
provider["end_night_rate"] = end_night_rate
return {"data": providers}
def api_get_time(sensor, time1, db):
"""
Returns measure at timestamp <time1> for sensor <sensor>, in watts.
Returns null if no measure is found.
"""
if time1 < 0:
abort(400, "Invalid timestamp.")
data = (db.query(database.Measures)
.filter_by(sensor_id=sensor,
timestamp=time1)
.first())
if not data:
data = None
else:
data = tools.to_dict(data)
return {"data": data, "rate": get_rate_type(db)}
def do_cache_times(sensor, watt_euros, time1, time2, db, force_refresh=False):
"""
Computes the cache (if needed) for the API call
/api/<sensor:int>/get/<watt_euros:re:watts|kwatthours|euros>/by_time/<time1:float>/<time2:float>
Returns the stored (or computed) data.
"""
r = redis.Redis(decode_responses=True)
if not force_refresh:
data = r.get(watt_euros + "_" + str(sensor) + "_" + "by_time" + "_" +
str(time1) + "_" + str(time2))
if data:
# If found in cache, return it
return json.loads(data)
data = (db.query(database.Measures).filter(
database.Measures.sensor_id == sensor,
database.Measures.timestamp >= time1,
database.Measures.timestamp < time2).order_by(
asc(database.Measures.timestamp)).all())
if not data:
data = None
else:
if watt_euros == "kwatthours" or watt_euros == "euros":
data = tools.energy(data)
if watt_euros == "euros":
data = {
"value":
(tools.watt_euros(0, 'night', data['night_rate'], db) +
tools.watt_euros(0, 'day', data['day_rate'], db))
}
else:
data = tools.to_dict(data)
# Store in cache
r.set(
watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" + str(time1) +
"_" + str(time2), json.dumps(data),
int(time2) - int(time1))
return data
def update_providers(fetch, db):
"""Updates the available providers. Simply returns them without updating if
fetch is False.
"""
try:
assert (fetch)
providers = requests.get(config.get("url_energy_providers")).json()
except (requests.ConnectionError, AssertionError):
providers = db.query(database.Provider).all()
if not providers:
providers = []
return tools.to_dict(providers)
old_current = db.query(database.Provider).filter_by(current=1).first()
db.query(database.Provider).delete()
for provider in providers:
type_id = (db.query(database.MeasureType).filter_by(
name=provider["type_name"]).first())
if not type_id:
type_db = database.MeasureType(name=provider["type_name"])
db.add(type_db)
db.flush()
type_id = database.MeasureType(name=provider["type_name"]).first()
provider_db = database.Provider(
name=provider["name"],
day_constant_watt_euros=provider["day_constant_watt_euros"],
day_slope_watt_euros=provider["day_slope_watt_euros"],
night_constant_watt_euros=provider["night_constant_watt_euros"],
night_slope_watt_euros=provider["night_slope_watt_euros"],
type_id=type_id.id,
current=(1 if old_current and old_current.name == provider["name"]
else 0),
threshold=int(provider["threshold"]))
db.add(provider_db)
return providers
def update_providers(fetch, db):
"""Updates the available providers. Simply returns them without updating if
fetch is False.
"""
try:
assert(fetch)
providers = requests.get(config.get("url_energy_providers")).json()
except (requests.ConnectionError, AssertionError):
providers = db.query(database.Provider).all()
if not providers:
providers = []
return tools.to_dict(providers)
old_current = db.query(database.Provider).filter_by(current=1).first()
db.query(database.Provider).delete()
for provider in providers:
type_id = (db.query(database.MeasureType)
.filter_by(name=provider["type_name"])
.first())
if not type_id:
type_db = database.MeasureType(name=provider["type_name"])
db.add(type_db)
db.flush()
type_id = database.MeasureType(name=provider["type_name"]).first()
provider_db = database.Provider(name=provider["name"],
day_constant_watt_euros=provider["day_constant_watt_euros"],
day_slope_watt_euros=provider["day_slope_watt_euros"],
night_constant_watt_euros=provider["night_constant_watt_euros"],
night_slope_watt_euros=provider["night_slope_watt_euros"],
type_id=type_id.id,
current=(1 if old_current and old_current.name == provider["name"] else 0),
threshold=int(provider["threshold"]))
db.add(provider_db)
return providers
def do_cache_group_id(sensor, watt_euros, id1, id2, step, db,
timestep=config.get("default_timestep"),
force_refresh=False):
"""
Computes the cache (if needed) for the API call
/api/<sensor:int>/get/<watt_euros:re:watts|kwatthours|euros>/by_id/<id1:int>/<id2:int>/<step:int>
Returns the stored (or computed) data.
"""
r = redis.Redis(decode_responses=True)
if not force_refresh:
data = r.get(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2) + "_" +
str(step) + "_" + str(timestep))
if data:
# If found in cache, return it
return json.loads(data)
steps = [i for i in range(id1, id2, step)]
steps.append(id2)
if id1 >= 0 and id2 >= 0 and id2 >= id1:
data = (db.query(database.Measure)
.filter(database.Measure.sensor_id == sensor,
database.Measure.id >= id1,
database.Measure.id < id2)
.order_by(asc(database.Measure.timestamp))
.all())
elif id1 <= 0 and id2 <= 0 and id2 >= id1:
data = (db.query(database.Measure)
.filter_by(sensor_id=sensor)
.order_by(desc(database.Measure.timestamp))
.slice(-id2, -id1)
.all())
data.reverse()
else:
raise ValueError
time2 = None
if not data:
data = [None for i in range(len(steps) - 1)]
else:
time1 = data[0].timestamp
time2 = data[-1].timestamp
data_dict = tools.to_dict(data)
tmp = [[] for i in range(len(steps) - 1)]
for i in data_dict:
tmp[bisect.bisect_left(steps, i["id"]) - 1].append(i)
data = []
for i in tmp:
if len(i) == 0:
data.append(None)
continue
energy = tools.energy(i)
if watt_euros == "watts":
tmp_data = {"value": energy["value"] / (step * timestep) * 1000 * 3600,
"day_rate": energy["day_rate"] / (step * timestep) * 1000 * 3600,
"night_rate": energy["night_rate"] / (step * timestep) * 1000 * 3600}
elif watt_euros == 'kwatthours':
tmp_data = energy
elif watt_euros == 'euros':
if energy["night_rate"] != 0:
night_rate = tools.watt_euros(0,
'night',
energy['night_rate'],
db)
else:
night_rate = 0
if energy["day_rate"] != 0:
day_rate = tools.watt_euros(0,
'day',
energy['day_rate'],
db)
else:
day_rate = 0
tmp_data = {"value": night_rate + day_rate}
data.append(tmp_data)
if len(data) == 0:
data = None
if time2 is not None:
# Store in cache
if time2 < datetime.datetime.now().timestamp():
# If new measures are to come, short lifetime (basically timestep)
r.set(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2) + "_" +
str(step) + "_" + str(timestep),
json.dumps(data),
timestep)
else:
# Else, store for a greater lifetime (basically time2 - time1)
r.set(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2) + "_" +
str(step) + "_" + str(timestep),
json.dumps(data),
time2 - time1)
return data
def do_cache_ids(sensor, watt_euros, id1, id2, db, force_refresh=False):
"""
Computes the cache (if needed) for the API call
/api/<sensor:int>/get/<watt_euros:re:watts|kwatthours|euros>/by_id/<id1:int>/<id2:int>
Returns the stored (or computed) data or None if parameters are invalid.
"""
r = redis.Redis(decode_responses=True)
if not force_refresh:
data = r.get(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2))
if data:
# If found in cache, return it
return json.loads(data)
if id1 >= 0 and id2 >= 0 and id2 >= id1:
data = (db.query(database.Measure)
.filter(database.Measure.sensor_id == sensor,
database.Measure.id >= id1,
database.Measure.id < id2)
.order_by(asc(database.Measure.timestamp))
.all())
elif id1 <= 0 and id2 <= 0 and id2 >= id1:
data = (db.query(database.Measure)
.filter_by(sensor_id=sensor)
.order_by(desc(database.Measure.timestamp))
.slice(-id2, -id1)
.all())
data.reverse()
else:
return None
if not data:
data = None
else:
time1 = data[0].timestamp
time2 = data[-1].timestamp
if watt_euros == 'kwatthours' or watt_euros == 'euros':
data = tools.energy(data)
if watt_euros == 'euros':
if data["night_rate"] != 0:
night_rate = tools.watt_euros(0,
'night',
data['night_rate'],
db)
else:
night_rate = 0
if data["day_rate"] != 0:
day_rate = tools.watt_euros(0,
'day',
data['day_rate'],
db)
else:
day_rate = 0
data = {"value": night_rate + day_rate}
else:
data = tools.to_dict(data)
# Store in cache
r.set(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2),
json.dumps(data),
time2 - time1)
return data
def do_cache_group_id(sensor,
watt_euros,
id1,
id2,
step,
db,
timestep=config.get("default_timestep"),
force_refresh=False):
"""
Computes the cache (if needed) for the API call
/api/<sensor:int>/get/<watt_euros:re:watts|kwatthours|euros>/by_id/<id1:int>/<id2:int>/<step:int>
Returns the stored (or computed) data.
"""
r = redis.Redis(decode_responses=True)
if not force_refresh:
data = r.get(watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2) + "_" + str(step) + "_" +
str(timestep))
if data:
# If found in cache, return it
return json.loads(data)
steps = [i for i in range(id1, id2, step)]
steps.append(id2)
if id1 >= 0 and id2 >= 0 and id2 >= id1:
data = (db.query(database.Measures).filter(
database.Measures.sensor_id == sensor, database.Measures.id >= id1,
database.Measures.id < id2).order_by(
asc(database.Measures.timestamp)).all())
elif id1 <= 0 and id2 <= 0 and id2 >= id1:
data = (db.query(
database.Measures).filter_by(sensor_id=sensor).order_by(
desc(database.Measures.timestamp)).slice(-id2, -id1).all())
data.reverse()
else:
raise ValueError
time2 = None
if not data:
data = [None for i in range(len(steps) - 1)]
else:
time1 = data[0].timestamp
time2 = data[-1].timestamp
data_dict = tools.to_dict(data)
tmp = [[] for i in range(len(steps) - 1)]
for i in data_dict:
tmp[bisect.bisect_left(steps, i["id"]) - 1].append(i)
data = []
for i in tmp:
if len(i) == 0:
data.append(None)
continue
energy = tools.energy(i)
if watt_euros == "watts":
tmp_data = {
"value":
energy["value"] / (step * timestep) * 1000 * 3600,
"day_rate":
energy["day_rate"] / (step * timestep) * 1000 * 3600,
"night_rate":
energy["night_rate"] / (step * timestep) * 1000 * 3600
}
elif watt_euros == 'kwatthours':
tmp_data = energy
elif watt_euros == 'euros':
if energy["night_rate"] != 0:
night_rate = tools.watt_euros(0, 'night',
energy['night_rate'], db)
else:
night_rate = 0
if energy["day_rate"] != 0:
day_rate = tools.watt_euros(0, 'day', energy['day_rate'],
db)
else:
day_rate = 0
tmp_data = {"value": night_rate + day_rate}
data.append(tmp_data)
if len(data) == 0:
data = None
if time2 is not None:
# Store in cache
if time2 < datetime.datetime.now().timestamp():
# If new measures are to come, short lifetime (basically timestep)
r.set(
watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2) + "_" + str(step) + "_" +
str(timestep), json.dumps(data), timestep)
else:
# Else, store for a greater lifetime (basically time2 - time1)
r.set(
watt_euros + "_" + str(sensor) + "_" + "by_id" + "_" +
str(id1) + "_" + str(id2) + "_" + str(step) + "_" +
str(timestep), json.dumps(data), time2 - time1)
return data
