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from data_import.models import CsvImportJob, ExtendedPointData, PointData # noqa
from data_import.models import CsvParser, CsvImportJob, CsvParserExtraColumn, CsvIncludeCriteria, PointData, ExtendedPointData # noqa
from main.models import StaThingProperty # noqa
from data_import.models import STA_THING # noqa
from data_import.lib.utils import is_row_included # noqa
def __init__(self, job: CsvImportJob):
self.error = False
self.logs = []
self.import_job = job
self.sta_endpoint = job.bucket.sta_endpoint
self.sta_url = self.sta_endpoint.base_url.rstrip('/') + '/v1.1/'
self.auth = (self.sta_endpoint.username, self.sta_endpoint.password)
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def import_csv_in_sta(self):
file_name = self.import_job.s3_file.split('/')[-1]
with open(file_name, newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
next(reader) # skip header
thing_props = StaThingProperty.objects.filter(endpoint=self.import_job.bucket.sta_endpoint)
extra_columns = CsvParserExtraColumn.objects.filter(parser=self.import_job.bucket.csv_parser)
include_criteria = CsvIncludeCriteria.objects.filter(parser=self.import_job.bucket.csv_parser)
rows_succeeded = 0
rows_failed = 0
for row in reader:
if is_row_included(row, include_criteria):
point_data = create_point_data(self.import_job, row)
extended_data = create_extended_data(point_data, extra_columns, thing_props, row)
self.import_point_data(point_data, extended_data)
if self.error is True:
point_data.validation_error = "\n".join(self.logs)
point_data.save()
for data in extended_data:
data.save()
rows_failed += 1
else:
rows_succeeded += 1
self.error = False
self.logs = []
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def import_point_data(self, point_data: PointData, extended_point_data: list[ExtendedPointData]):
location = self.get_location_json(point_data)
if self.error:
return
thing = self.get_thing_json(point_data, extended_point_data)
thing_id = self.get_entity_id_if_exists('Things', thing)
if not thing_id:
self.create_entity('Things', thing)
thing_id = self.get_entity_id_if_exists('Things', thing)
# print("Thing-ID: " + str(thing_id))
location["Things"] = [{"@iot.id": thing_id}]
self.create_entity('Locations', location)
obs_property = self.get_property_json(point_data, extended_point_data)
property_id = self.get_entity_id_if_exists('ObservedProperties', obs_property)
if not property_id:
self.create_entity('ObservedProperties', obs_property)
property_id = self.get_entity_id_if_exists('ObservedProperties', obs_property)
# print("property-ID: " + str(property_id))
sensor = {
"name": "tbd",
"description": "sensor",
"properties": {},
"encodingType": "application/pdf",
"metadata": ""
}
sensor_id = self.get_entity_id_if_exists('Sensors', sensor)
if not sensor_id:
self.create_entity('Sensors', sensor)
sensor_id = self.get_entity_id_if_exists('Sensors', sensor)
datastream_id = self.get_datastream_id_if_exists(thing_id, property_id, sensor_id, point_data.result_unit)
if not datastream_id:
datastream = {
"name": point_data.property,
"description": '',
"observationType": "https://defs.opengis.net/vocprez/object?uri=http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_Measurement",
"unitOfMeasurement": {
"name": "",
"symbol": point_data.result_unit,
"definition": ""
},
"Thing": {"@iot.id": thing_id},
"Sensor": {"@iot.id": sensor_id},
"ObservedProperty": {"@iot.id": property_id}
}
self.create_entity('Datastreams', datastream)
datastream_id = self.get_datastream_id_if_exists(thing_id, property_id, sensor_id, point_data.result_unit)
# print("Datastream-ID: " + str(datastream_id))
observation = self.get_observation_json(point_data, extended_point_data)
observation["Datastream"] = {"@iot.id": datastream_id}
self.create_entity('Observations', observation)
def get_entity_id_if_exists(self, route, entity_dict):
url = "{}{}?$top=1&$count=true".format(self.sta_url, route)
params = ["name eq '{}'".format(sanitize_str(entity_dict['name']))]
for key, value in entity_dict['properties'].items():
params.append("properties/{} eq '{}'".format(key, sanitize_str(value)))
url += "&$filter=" + " and ".join(params)
response = requests.get(url, auth=self.auth)
if response.status_code == 200:
count = response.json()["@iot.count"]
if count >= 1:
return self.extract_id(response, route)
return None
def get_datastream_id_if_exists(self, thing_id, obs_property_id, sensor_id, unit):
url = "{}Datastreams?$top=1&$count=true&$filter=Thing/id eq {} and ObservedProperty/id eq {} and Sensor/id eq {} and unitOfMeasurement/symbol eq '{}'".format(self.sta_url, thing_id, obs_property_id, sensor_id, unit)
response = requests.get(url, auth=self.auth)
if response.status_code == 200:
count = response.json()["@iot.count"]
if count >= 1:
return self.extract_id(response, 'Datastreams')
return None
def create_entity(self, route, payload):
response = requests.post('{}{}'.format(self.sta_url, route), json=payload, auth=self.auth)
if response.status_code != 201:
self.error = True
self.logs.append(str(payload))
return None
def extract_id(self, response, route):
content = response.json()
for record in content['value']:
obj_id = record['@iot.id']
return obj_id
self.error = True
self.logs.append(content)
print('error {}: {}'.format(route, content))
return False
def get_thing_json(self, point_data: PointData, extended_data: list[ExtendedPointData]):
thing = {
"name": point_data.thing_name,
"description": "",
"properties": {}
}
for data in extended_data:
if data.related_entity == 'thing':
thing["properties"][data.name] = data.value
return thing
def get_property_json(self, point_data: PointData, extended_data: list[ExtendedPointData]):
obs_property = {
"name": point_data.property,
"description": '',
"properties": {},
"definition": ''
}
for data in extended_data:
if data.related_entity == 'property':
obs_property["properties"][data.name] = data.value
return obs_property
def get_observation_json(self, point_data: PointData, extended_data: list[ExtendedPointData]):
if point_data.result_value == '' or point_data.result_value is None:
value = None
else:
try:
value = float(point_data.result_value)
except:
self.error = True
self.logs.append("Cannot read value: " + point_data.result_value)
value = None
timestamp = point_data.result_time
if "T" not in timestamp and not timestamp.endswith('Z'):
timestamp += "T00:00:00Z"
observation = {
"result": value,
"phenomenonTime": timestamp,
"resultTime": timestamp,
"parameters": {
"import_job": self.import_job.id
}
}
for data in extended_data:
if data.related_entity == 'observation':
observation["parameters"][data.name] = data.value
return observation
def get_location_json(self, point_data: PointData):
try:
lat = float(point_data.coord_lat)
lon = float(point_data.coord_lon)
if lat and lon:
return {
"name": point_data.location_name,
"description": '',
"properties": {},
"encodingType": "application/geo+json",
"location": {
"type": "Point",
"coordinates": [lon, lat]
},
}
except:
self.error = True
self.logs.append("Cannot extract coordinates.")
return None
def sanitize_str(text: str):
result = text.replace("'", "''")
result = result.replace("+", "%2b")
return result.replace("/", "%2F")
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def create_point_data(job: CsvImportJob, row):
p: CsvParser = job.bucket.csv_parser
point_data = PointData(
import_job = job,
thing_name = row[p.station_col_num],
location_name = row[p.station_col_num],
coord_lat = row[p.lat_col_num],
coord_lon = row[p.lon_col_num],
# geometry = '',
property = row[p.property_col_num],
# sensor = '',
result_value = row[p.value_col_num],
result_unit = row[p.unit_col_num],
result_time = row[p.time_col_num]
)
return point_data
def create_extended_data(point_data: PointData, extra_columns: list[CsvParserExtraColumn], thing_props: list[StaThingProperty], row):
result = []
for prop in thing_props:
extended_data = ExtendedPointData(
point_data = point_data,
related_entity = STA_THING,
name = prop.property_key,
value = prop.property_value
)
result.append(extended_data)
for column in extra_columns:
extended_data = ExtendedPointData(
point_data = point_data,
related_entity = column.related_entity,
name = column.col_name,
value = row[column.col_num]
)
result.append(extended_data)
return result