def run(self):
configuration = self.config()
ifc_api = bimdata_api_client.IfcApi(
bimdata_api_client.ApiClient(configuration))
for ifc_pk in self.ifc_pks:
ifc = ifc_api.get_ifc(self.cloud_pk, ifc_pk, self.project_pk)
structure_response = requests.get(ifc.structure_file)
structure_response.raise_for_status()
structure = structure_response.json()
self.recursive_parse_structure(structure)
zones = ifc_api.get_zones(self.cloud_pk, ifc_pk, self.project_pk)
self.recursive_parse_zones(zones)
data = {
"space_UUID": [],
"parent_zone_UUID": [],
"zone_UUID": [],
"storey_UUID": [],
}
for space_uuid, parents in self.spaces.items():
data['space_UUID'].append(space_uuid)
data['parent_zone_UUID'].append(parents.get("parent_zone_uuid"))
data['zone_UUID'].append(parents.get("zone_uuid"))
data['storey_UUID'].append(parents.get("storey_uuid"))
self.df = pd.DataFrame(data)
return self.df
def __init__(self, access_token=None):
self.config = bimdata_api_client.Configuration()
self.config.host = settings.API_URL
if access_token:
# when we have a user access_token
self.config.access_token = access_token
else:
token_payload = {
"client_id": settings.OIDC_RP_CLIENT_ID,
"client_secret": settings.OIDC_RP_CLIENT_SECRET,
"grant_type": "client_credentials",
}
# Get the token
response = requests.post(settings.OIDC_OP_TOKEN_ENDPOINT,
data=token_payload)
response.raise_for_status()
self.config.access_token = response.json().get("access_token")
self.client = bimdata_api_client.ApiClient(self.config)
self.collaboration_api = bimdata_api_client.CollaborationApi(
self.client)
self.ifc_api = bimdata_api_client.IfcApi(self.client)
self.webhook_api = bimdata_api_client.WebhookApi(self.client)
def run(self):
configuration = self.config()
ifc_api = bimdata_api_client.IfcApi(
bimdata_api_client.ApiClient(configuration))
for ifc_pk in self.ifc_pks:
ifc = ifc_api.get_ifc(self.cloud_pk, ifc_pk, self.project_pk)
structure_response = requests.get(ifc.structure_file)
structure_response.raise_for_status()
structure = structure_response.json()
zones = ifc_api.get_zones(self.cloud_pk, ifc_pk, self.project_pk)
self.recursive_parse_zones(zones)
self.recursive_parse(structure)
data = {
"element_UUID": self.element_UUIDs,
"zone_UUID": self.zone_UUIDs,
"zone_name": self.zone_names,
"space_UUID": self.space_UUIDs,
"space_name": self.space_names,
"storey_UUID": self.storey_UUIDs,
"storey_name": self.storey_names,
"building_UUID": self.building_UUIDs,
"building_name": self.building_names,
"site_UUID": self.site_UUIDs,
"site_name": self.site_names,
}
self.df = pd.DataFrame(data)
return self.df
def run(self):
configuration = self.config()
ifc_api = bimdata_api_client.IfcApi(
bimdata_api_client.ApiClient(configuration))
for ifc_pk in self.ifc_pks:
api_response = ifc_api.get_raw_elements(self.cloud_pk, ifc_pk,
self.project_pk)
self.raw_elements_to_elements(api_response)
self.get_properties_from_elements()
self.df = pd.DataFrame(self.formatted_elements)
return self.df
def run(self):
configuration = self.config()
ifc_api = bimdata_api_client.IfcApi(
bimdata_api_client.ApiClient(configuration))
for ifc_pk in self.ifc_pks:
zones = ifc_api.get_zones(self.cloud_pk, ifc_pk, self.project_pk)
self.recursive_parse(zones)
data = {
"parent_zone_UUID": self.parent_zone_uuids,
"zone_UUID": self.zone_uuids,
"space_UUID": self.space_uuids,
}
self.df = pd.DataFrame(data)
return self.df
def run(self):
configuration = self.config()
ifc_api = bimdata_api_client.IfcApi(bimdata_api_client.ApiClient(configuration))
collaboration_api = bimdata_api_client.CollaborationApi(bimdata_api_client.ApiClient(configuration))
classifications = collaboration_api.get_classifications(self.cloud_pk, self.project_pk)
self.classifications = {classification.id: classification for classification in classifications}
for ifc_pk in self.ifc_pks:
classifications_relations = ifc_api.list_classification_element_relations(self.cloud_pk, ifc_pk, self.project_pk)
self.raw_elements_to_elements(classifications_relations)
data = {
"element_UUID": self.element_UUIDs,
"classification_name": self.classification_names,
"classification_notation": self.classification_notations,
"classification_title": self.classification_titles,
}
self.df = pd.DataFrame(data)
return self.df