def test_download():
# Login with your username and password
token = sti.login(USERNAME_ADMIN, PASSWORD_ADMIN)
assert type(token) is str
# Create a new project
project_id = sti.create_project(token)
assert type(project_id) is int
# Obtain region code
region_id = sti.get_region(token, "melbourne")
assert type(region_id) is int
# Load geoson file
with open("resources/test_small.geojson", 'r') as file:
geojson_file = json.loads(file.read())
# Upload boundary
geojson_id = sti.upload_geojson(token, geojson_file, project_id)
# Set project parameters
sti.update_project(
token, project_id, {
"name": "my project small",
"active": True,
'region_id': region_id,
"case_study_area_id": geojson_id,
})
# Add assessment models
lst_model = sti.get_assessment_model(token, "Land Surface Temperature")
assert type(lst_model) is int
# Set assessment models
sti.set_project_assessment_models(token, project_id,
[{
"assessment_model_id": lst_model
}])
# Create and run baseline
baseline_id = sti.create_scenario(token, project_id, None)
assert type(baseline_id) is int
sti.execute_scenario(token, baseline_id)
# Scenarios are executed asynchronous.
while True:
# A status code smaller than 7 means the simulation is still executed.
r = sti.check_status(token, baseline_id)
status = r["status"]
if status > 6:
break
time.sleep(1)
# Print a list of available nodes
sti.show_nodes(token)
# Get residential node id
nodes = sti.get_nodes(token)
n_id = -1
for n in nodes:
if n["name"] == "Residential":
n_id = n["id"]
# Nodes are defined as below
residential_node = {
"node_type_id": n_id,
"area": geojson_id,
"parameters": {
"dance4water_building.site_coverage": 0.6,
"dance4water_number_of_trees.equation": 1,
"dance4water_tree_spacing.equation": 22
}
}
nodes = []
# Several nodes can are combined to a workflow be adding them to a vector. The
# nodes are executed in the order the are added
nodes.append(residential_node)
# Scenarios need a parent. In this case we use the base line scenario created before
baseline_scenario_id = sti.get_baseline(token, project_id)
# Crate a new scenario
scenario_id = sti.create_scenario(token, project_id, baseline_scenario_id,
"my new scenario")
assert type(scenario_id) is int
# Set workflow
sti.set_scenario_workflow(token, scenario_id, nodes)
# Execute scenario
sti.execute_scenario(token, scenario_id)
# Scenarios are executed asynchronous
while True:
# A status code smaller than 7 means the simulation is still executed.
r = sti.check_status(token, scenario_id)
status = r["status"]
if status > 6:
break
time.sleep(1)
sti.get_project_databases(token, project_id, "/tmp")
assert os.path.exists(f"/tmp/{project_id}.zip")
def run_tutorial(queue="default"):
# Login with your username and password
token = sti.login(USERNAME, PASSWORD)
assert type(token) is str
# Create a new project
project_id = sti.create_project(token)
assert type(project_id) is int
# Obtain region code
region_id = sti.get_region(token, "melbourne")
assert type(region_id) is int
# Load geoson file
with open("./resources/test.geojson", 'r') as file:
geojson_file = json.loads(file.read())
# Upload boundary
geojson_id = sti.upload_geojson(token, geojson_file, project_id)
# Set project parameters
sti.update_project(
token, project_id, {
"name": "my project",
"active": True,
'region_id': region_id,
"case_study_area_id": geojson_id,
})
# Add assessment models
lst_model = sti.get_assessment_model(token, "Land Surface Temperature")
assert type(lst_model) is int
# Set assessment models
sti.set_project_assessment_models(token, project_id,
[{
"assessment_model_id": lst_model
}])
# Create and run baseline
baseline_id = sti.create_scenario(token, project_id, None)
assert type(baseline_id) is int
sti.execute_scenario(token, baseline_id)
# Scenarios are executed asynchronous.
while True:
# A status code smaller than 7 means the simulation is still executed.
r = sti.check_status(token, baseline_id)
status = r["status"]
if status > 6:
break
time.sleep(1)
# Print a list of available nodes
sti.show_nodes(token)
#Get residential node id
nodes = sti.get_nodes(token)
n_id = -1
for n in nodes:
if n["name"] == "Residential":
n_id = n["id"]
# Nodes are defined as below
residential_node = {
"node_type_id": n_id,
"area": geojson_id,
"parameters": {
"dance4water_building.site_coverage": 0.6,
"dance4water_number_of_trees.equation": 1,
"dance4water_tree_spacing.equation": 22
}
}
nodes = []
# Several nodes can are combined to a workflow be adding them to a vector. The
# nodes are executed in the order the are added
nodes.append(residential_node)
# Scenarios need a parent. In this case we use the base line scenario created before
baseline_scenario_id = sti.get_baseline(token, project_id)
# Crate a new scenario
scenario_id = sti.create_scenario(token, project_id, baseline_scenario_id,
"my new scenario")
assert type(scenario_id) is int
# Set workflow
sti.set_scenario_workflow(token, scenario_id, nodes)
# Execute scenario
sti.execute_scenario(token, scenario_id, queue=queue)
# Scenarios are executed asynchronous
while True:
# A status code smaller than 7 means the simulation is still executed.
r = sti.check_status(token, scenario_id)
status = r["status"]
if status > 6:
break
time.sleep(1)
while True:
r = sti.run_query(
token, scenario_id,
"SELECT avg(tree_cover_fraction) as tf from micro_climate_grid")
if r['status'] == 'loaded':
# Break the loop when query is loaded
break
time.sleep(1)
print(r['data'])
assert r['data'][0]['tf'] == 0.03822364549421932
# Should through an exception because access
with pytest.raises(Exception) as e_info:
sti.get_project_databases(token, project_id)