Import an IFC2X3, IFC4 or IFC4X3, convert the file to IfcJSON and store the data in the database

Feature Group: Workflow

Execution of a series actions: convert to IfcJSON, filter the IfcJSON and store the data in the database

This workflow executes the previous features:

• Convert IFC to IfcJSON
• Filter the IfcJSON Model
• Store the IfcJSON in the Database

Submit the processing request

Import is started by sending a POST with a Json Body as defined in pydantic

#
# Import an IFC, convert it to an IFCJSON and store the data in the database
#

class ImportAndProcessIfc_Instruction(BaseModel):
    source: ConvertIfcToIfcJson_Instruction
    filter: Filter_Instruction | SkipJsonSchema[None] = None
    store: Store_Instruction

class ConvertIfcToIfcJson_Instruction(BaseModel):
    sourceFileURL: str | None = "http://localhost:8002/IFC_SOURCE_FILES/Duplex_A_20110907_optimized.ifc"

class Filter_Instruction(BaseModel):
    filter:IfcJsonFilter

class FilterIfcJson_Instruction(BaseModel):
    sourceFileURL: str | None = "http://localhost:8002/IFCJSON/597e4482-c5ab-4f8d-a02b-e7db99a14a37_NI.json"
    filter: IfcJsonFilter

class Store_Instruction(BaseModel):
    spatialUnitId: str | None = "5f2d17b0-43fb-445d-9c67-7dafb3292c33"
    bundleName: str | None = "Duplex_A_20110907_optimized" # name of the bundle
    parentBundleId: str | None = None # remove parentBundleId if there is no parent

# ImportAndProcessIfc_Result will be available in the 
#    ConvertIfcToIfcJson_Result
#    FilterIfcJson_Result (if filter is not None)
#    StoreIfcJsonInDb_Result  

FastAPI provides by default at /docs a swagger utility that simplifies the execution of tests.

The request provides:

• default values (from None = ) that must be adjusted to your specific case
• the filter if needed (more on that in filter the model)

Hereunder a screenshot of the request available at /docs

Hereunder a screenshot of the request skimmed form filter and parentBundleId, typically not needed for a primary import.