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Boka1991Boka1991
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changed sample data and data validation in road mode
1 parent 7f0aadf commit f67210c

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5 files changed

+21
-25
lines changed

5 files changed

+21
-25
lines changed

‎pyloghub/freight_shipment_emissions_air.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -101,4 +101,4 @@ def forward_freight_shipment_emissions_air_sample_data():
101101
'workspaceId': 'Your workspace id',
102102
'scenarioName': 'Your scenario name'
103103
}
104-
return {'iataCodes': iata_codes_df, 'parameters': parameters, 'saveScenarioParameters': save_scenario}
104+
return {'iataCodes': iata_codes_df, 'parameters': parameters, 'saveScenarioParameters': save_scenario}

‎pyloghub/freight_shipment_emissions_road.py

Lines changed: 19 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@
77
import sys
88
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'pyloghub')))
99
from save_to_platform import save_scenario_check, create_button
10-
from input_data_validation import convert_dates, validate_and_convert_data_types
10+
from input_data_validation import convert_dates, validate_and_convert_data_types, convert_to_float, convert_df_to_dict_excluding_nan
1111
from sending_requests import post_method, create_headers, create_url, get_workspace_entities
1212

1313
def forward_freight_shipment_emissions_road(addresses: pd.DataFrame, parameters: dict, api_key: str, save_scenario = {}, show_buttons = False) -> Optional[Tuple[pd.DataFrame, pd.DataFrame]]:
@@ -33,11 +33,12 @@ def forward_freight_shipment_emissions_road(addresses: pd.DataFrame, parameters:
3333
- toCity (str): City name of the address to which a shipment should arrive at.
3434
- toStreet (str): Street name with house number of the address to which a shipment should arrive at.
3535
- isRefrigirated (str): A YES/NO option that specifies whether the content being transferred through the shipments is refrigirated or not. If not specified will be taken as NO.
36+
-distance: Distance between sender and recipient. It will be calculated if not provided.
3637
- weight (number): The weight of the shipment.
3738
3839
parameters (dict): A dictionary containing parameters:
3940
- vehicleType: "van(0-3.5)", "truck", "truckUrbanTruck", "truckMGV", "truckHGV", "truckRigid(3.5-7.5)", "truckRigid(7.5-12)", "truckRigid(12-20)" , "truckRigid(20-26)", "truckRigid(26-32)", "truckArticulated(3.5-34)", "truckArticulated(34-40)", "truckArticulated(40-44)", "truckArticulated(44-60)", "truckArticulated(60-72)", "truckGeneral", "truckAutoCarrier", "truckDray", "truckExpedited", "truckFlatbed", "truckHeavybulk", "truckLTL", "truckMixed", "truckMoving", "truckPackage", "truckSpecialized", "truckTanker" or "truckTL"
40-
- fuelType: enum "diesel", "petrol", "hybrid", "CNG", "LPG", "pluginHybrid", "electricity" or "other"
41+
- fuelType: enum "diesel", "petrol", "CNG", "LPG", "electricity" or "other"
4142
- weightUnit: enum "kilograms" or "lbs"
4243
- emissionStandard: enum "EURO_5" or :EURO_6"
4344
@@ -60,13 +61,16 @@ def create_buttons():
6061

6162
addresses_mandatory_columns = {'shipmentId': 'str', 'shipmentDate': 'str', 'fromCountry': 'str', 'toCountry': 'str', 'weight': 'float'}
6263
addresses_optional_columns = {'fromState': 'str', 'fromPostalCode': 'str', 'fromCity': 'str', 'fromStreet': 'str', 'toState': 'str', 'toPostalCode': 'str', 'toCity': 'str', 'toStreet': 'str', 'isRefrigirated': 'str'}
64+
addresses_optional_floats = ['distance']
6365

6466
# Validate and convert data types
6567
addresses = validate_and_convert_data_types(addresses, addresses_mandatory_columns, 'mandatory', 'addresses')
6668
if not addresses is None:
6769
addresses = validate_and_convert_data_types(addresses, addresses_optional_columns, 'optional', 'addresses')
68-
if not addresses is None:
69-
addresses = convert_dates(addresses, ['shipmentDate'])
70+
if not addresses is None:
71+
addresses = convert_dates(addresses, ['shipmentDate'])
72+
addresses = convert_to_float(addresses, addresses_optional_floats, 'optional')
73+
addresses = convert_df_to_dict_excluding_nan(addresses, addresses_optional_floats)
7074
if addresses is None:
7175
return None
7276

@@ -75,7 +79,7 @@ def create_buttons():
7579
headers = create_headers(api_key)
7680

7781
payload = {
78-
'freightShipmentEmissionsByRoad': addresses.to_dict(orient='records'),
82+
'freightShipmentEmissionsByRoad': addresses,
7983
'parameters': parameters
8084
}
8185
payload = save_scenario_check(save_scenario, payload)
@@ -95,7 +99,7 @@ def create_buttons():
9599
def forward_freight_shipment_emissions_road_sample_data():
96100
warnings.simplefilter("ignore", category=UserWarning)
97101
data_path = os.path.join(os.path.dirname(__file__), 'sample_data', 'CO2RoadAddresses.xlsx')
98-
addresses_df = pd.read_excel(data_path, sheet_name='addresses', usecols='A:O').fillna("")
102+
addresses_df = pd.read_excel(data_path, sheet_name='addresses', usecols='A:P').fillna("")
99103
parameters = {
100104
"vehicleType": "truck",
101105
"fuelType": "diesel",
@@ -128,11 +132,12 @@ def reverse_freight_shipment_emissions_road(coordinates: pd.DataFrame, parameter
128132
- toLatitude (number): The latitude of the coordinate to which a shipment should arrive at.
129133
- toLongitude (numebr): The longitude of the coordinate to which a shipment should arrive at.
130134
- isRefrigirated (str): A YES/NO option that specifies whether the content being transferred through the shipments is refrigirated or not. If not specified will be taken as NO.
135+
- distance: Distance beteen sender and recipient. It will be calculated if not provided.
131136
- weight (number): The weight of the shipment.
132137
133138
parameters (dict): A dictionary containing parameters:
134139
- vehicleType: "van(0-3.5)", "truck", "truckUrbanTruck", "truckMGV", "truckHGV", "truckRigid(3.5-7.5)", "truckRigid(7.5-12)", "truckRigid(12-20)" , "truckRigid(20-26)", "truckRigid(26-32)", "truckArticulated(3.5-34)", "truckArticulated(34-40)", "truckArticulated(40-44)", "truckArticulated(44-60)", "truckArticulated(60-72)", "truckGeneral", "truckAutoCarrier", "truckDray", "truckExpedited", "truckFlatbed", "truckHeavybulk", "truckLTL", "truckMixed", "truckMoving", "truckPackage", "truckSpecialized", "truckTanker" or "truckTL"
135-
- fuelType: enum "diesel", "petrol", "hybrid", "CNG", "LPG", "pluginHybrid", "electricity" or "other"
140+
- fuelType: enum "diesel", "petrol", "CNG", "LPG", "electricity" or "other"
136141
- weightUnit: enum "kilograms" or "lbs"
137142
- emissionStandard: enum "EURO_5" or :EURO_6"
138143
@@ -155,21 +160,24 @@ def create_buttons():
155160

156161
coordinates_mandatory_columns = {'shipmentId': 'str', 'shipmentDate': 'str', 'fromLatitude': 'float', 'fromLongitude': 'float', 'toLatitude': 'float', 'toLongitude': 'float', 'weight': 'float'}
157162
coordinates_optional_columns = {'isRefrigirated': 'str'}
163+
coordinates_optional_floats = ['distance']
158164

159165
# Validate and convert data types
160166
coordinates = validate_and_convert_data_types(coordinates, coordinates_mandatory_columns, 'mandatory', 'coordinates')
161167
if not coordinates is None:
162168
coordinates = validate_and_convert_data_types(coordinates, coordinates_optional_columns, 'optional', 'coordinates')
163-
if not coordinates is None:
164-
coordinates = convert_dates(coordinates, ['shipmentDate'])
169+
if not coordinates is None:
170+
coordinates = convert_dates(coordinates, ['shipmentDate'])
171+
coordinates = convert_to_float(coordinates, coordinates_optional_floats, 'optional')
172+
coordinates = convert_df_to_dict_excluding_nan(coordinates, coordinates_optional_floats)
165173
if coordinates is None:
166174
return None
167175
url = create_url("reverseco2emissionsroad")
168176

169177
headers = create_headers(api_key)
170178

171179
payload = {
172-
'freightShipmentEmissionsByRoad': coordinates.to_dict(orient='records'),
180+
'freightShipmentEmissionsByRoad': coordinates,
173181
'parameters': parameters
174182
}
175183
payload = save_scenario_check(save_scenario, payload)
@@ -189,7 +197,7 @@ def create_buttons():
189197
def reverse_freight_shipment_emissions_road_sample_data():
190198
warnings.simplefilter("ignore", category=UserWarning)
191199
data_path = os.path.join(os.path.dirname(__file__), 'sample_data', 'CO2RoadReverse.xlsx')
192-
coordinates_df = pd.read_excel(data_path, sheet_name='coordinates', usecols='A:I').fillna("")
200+
coordinates_df = pd.read_excel(data_path, sheet_name='coordinates', usecols='A:J').fillna("")
193201
parameters = {
194202
"vehicleType": "truck",
195203
"fuelType": "diesel",

‎pyloghub/freight_shipment_emissions_sea.py

Lines changed: 1 addition & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -102,16 +102,4 @@ def forward_freight_shipment_emissions_sea_sample_data():
102102
'workspaceId': 'Your workspace id',
103103
'scenarioName': 'Your scenario name'
104104
}
105-
return {'unLocodes': un_locodes_df, 'parameters': parameters, 'saveScenarioParameters': save_scenario}
106-
107-
108-
if __name__ == "__main__":
109-
110-
sample_data = forward_freight_shipment_emissions_sea_sample_data()
111-
locodes_df = sample_data['unLocodes']
112-
parameters = sample_data['parameters']
113-
save_scenario =sample_data['saveScenarioParameters']
114-
115-
api_key_dev = "2c010d62ff7508c3e5362126ca22ed859eb68ddd"
116-
117-
df = forward_freight_shipment_emissions_sea(locodes_df, parameters, api_key_dev, save_scenario)
105+
return {'unLocodes': un_locodes_df, 'parameters': parameters, 'saveScenarioParameters': save_scenario}

‎pyloghub/sample_data/CO2RoadAddresses.xlsx

-5 Bytes
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‎pyloghub/sample_data/CO2RoadReverse.xlsx

115 Bytes
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