How to use the arcgis.features.SpatialDataFrame.from_featureclass function in arcgis

from arcgis.gis import GIS
from arcgis.features import SpatialDataFrame
from arcgis.raster import ImageryLayer
from arcgis.geometry import Polygon
from arcgis.geometry import Geometry
import sys
import json
import arcgis_config

# type of coordinate referrence system 
crs_id = 3857
gis = GIS("https://www.arcgis.com", arcgis_config.username, arcgis_config.password)

shp_file = 'raw/bottom_part.shp'
building_data = SpatialDataFrame.from_featureclass(shp_file)
# print(type(building_data.geometry))
# print(df.dtypes)
# print(df.shape)

# naip = gis.content.search('Views', 'Imagery Layer', outside_org=True)
naip = gis.content.get('3f8d2d3828f24c00ae279db4af26d566')
# for layer in naip.layers:
#     print(layer)
naip_image_layer = naip.layers[0]
# naip_image_layer = apply(naip_image_layer, 'FalseColorComposite')
# print(naip_image_layer.extent)

# redefine occupancy type to be residential(1) and non-residential(2)
with open('residential_occupancy_types.json', 'r') as f:
    res_types = json.load(f)

def insert_new_results(selected_auth_fl, selected_res_fl, authoritative_fc, schema):
    selected_auth_sdf = SpatialDataFrame.from_featureclass(selected_auth_fl)
    print(selected_auth_sdf)
    selected_res_sdf = SpatialDataFrame.from_featureclass(selected_res_fl)
    print(selected_res_sdf)

    fields = field_schema.get(schema)
    #for f in fields:
    #    print(f)

    # Write this function
    dtypes =  dts.get(schema)
    fields = field_schema.get(schema)

    for idx, sel_auth_row in enumerate(selected_auth_sdf.iterrows()):

        geom = sel_auth_row[1].SHAPE.buffer(-.01)
        #print(geom)

def insert_new_results(selected_auth_fl, selected_res_fl, authoritative_fc, schema):
    selected_auth_sdf = SpatialDataFrame.from_featureclass(selected_auth_fl)
    print(selected_auth_sdf)
    selected_res_sdf = SpatialDataFrame.from_featureclass(selected_res_fl)
    print(selected_res_sdf)

    fields = field_schema.get(schema)
    #for f in fields:
    #    print(f)

    # Write this function
    dtypes =  dts.get(schema)
    fields = field_schema.get(schema)

    for idx, sel_auth_row in enumerate(selected_auth_sdf.iterrows()):

        geom = sel_auth_row[1].SHAPE.buffer(-.01)
        #print(geom)
        #oid = sel_auth_row[1].OBJECTID