materials added

.devcontainer/devcontainer.json

@@ -8,7 +8,8 @@
       "extensions": [
         "ms-python.python",
         "ms-azuretools.vscode-docker",
-        "ms-toolsai.jupyter"
+        "ms-toolsai.jupyter",
+        "mechatroner.rainbow-csv"
       ]
     }
   }

etl/jjc_invoice.py

@@ -3,6 +3,7 @@ from pprint import pformat
 from etl.pdfReader.pdfReaderToText import pdfReaderToText
 from etl.surveyedData.surveryedData import surveyedDataProcessor
 import pandas as pd
+import math
 
 file_paths = [{'119 CUTNOOK LANE, M44 6LU': ['/tmp/sharepoint/Andy Rumfitt/W.C. 10.03.2025/FOR HOUSING/119 CUTNOOK LANE, M44 6LU/CSR - 119 Cutnook.pdf',
    '/tmp/sharepoint/Andy Rumfitt/W.C. 10.03.2025/FOR HOUSING/119 CUTNOOK LANE, M44 6LU/EPR.pdf',
@@ -292,7 +293,7 @@ def work_out_total_floor_area(pre_site_note):
     total += add_all_floors(pre_site_note.property_description.ex4_proprerty.dimensions) if ext4 is True else 0
 
 
-    return total
+    return math.ceil(total) if total%1 >=0.5 else math.floor(total)
 
 
 def main():
@@ -302,6 +303,7 @@ def main():
          "Type of Work": [],
          "Price": [],
          "Total Floor Area": [],
+         "Empty/Cavity": [],
     }
 
     jjc = SharePointScraper(SharePointInstaller.JJC)
@@ -320,10 +322,12 @@ def main():
             data["Type of Work"].append("Caluclating...")
             data["Price"].append("Caluclating...")
             data["Total Floor Area"].append(total_floor_area)
+            data["Empty/Cavity"].append("None")
 
         if survey.csr:
             if survey.csr.insulation_info:
-                print(survey.csr.insulation_info.type)
+                data["Empty/Cavity"].pop()
+                data["Empty/Cavity"].append(survey.csr.insulation_info.type)
 
              
 
@@ -339,4 +343,6 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()
+
+# TO DO compare floor area with deemed one