Update app.py

app.py

@@ -2,7 +2,7 @@ from __future__ import print_function
 from flask import Flask, render_template,request,flash , json, url_for,g , redirect , jsonify , send_file ,make_response
 import os
 import json
-import fitz 
+import fitz
 from PIL import Image
 import cv2
 import numpy as np
@@ -151,7 +151,7 @@ def getfromdropboxImg(jsdata):
     data = res.content
     doc = fitz.open("pdf",data)
     page=doc[0]
-    pix = page.get_pixmap(dpi=300)  # render page to an image
+    pix = page.get_pixmap()  # render page to an image
     pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
     img=np.array(pl)
     img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
@@ -219,22 +219,22 @@ def measureproject(result,dataDoc=0,img=0,dxffile=0):
         _, buffer = cv2.imencode('.png', image_new1)
         arr=[base64.b64encode(buffer).decode('utf-8'),SimilarAreaDictionary.to_dict(),spreadsheet_url , spreadsheetId,colorsUsed,list1.to_dict(), pdflink, areas_Perimeters, namepathArr]
    #################################  -3.2- #################################
-    elif result[5][2].startswith('3.2'): #section value - 3.2 floor finishes
-        print('IN HEREEEE 3.2')
-        dxfpath=dxffile.read()
-        with tempfile.NamedTemporaryFile(suffix='.dxf', delete=False) as temp_file:
-            temp_file.write(dxfpath)
-            temp_filename = temp_file.name
-            print(temp_filename)
-            doc,outputimg, SimilarAreaDictionary ,spreadsheetId, spreadsheet_url , namepathArr , list1,hatched_areas=dxf__omar3_2.mainFunctionDrawImgPdf(dataDoc,temp_filename,result[4] , pdfpath,result[0])
-            dbPath='/TSA JOBS/ADR Test'+pdfpath+'Measured Plan/' 
-            pdflink= tsadropboxretrieval.uploadanyFile(doc=doc,path=dbPath,pdfname=result[0]) #doc=doc,pdfname=path,pdfpath=pdfpath+'Measured Plan/'
-
-            _, buffer = cv2.imencode('.png', outputimg)
-            arr=[ base64.b64encode(buffer).decode('utf-8'),SimilarAreaDictionary.to_dict(), spreadsheet_url,spreadsheetId,[],list1.to_dict(),pdflink,hatched_areas,namepathArr]# , spreadsheetId, spreadsheet_url , list1.to_dict()]
-   #################################  -2.8- #################################
-    elif result[5][2].startswith('3.3'): #section value - 3.2 floor finishes
-            print('IN HEREEEE 3.3')
+    # elif result[5][2].startswith('3.2'): #section value - 3.2 floor finishes
+    #     print('IN HEREEEE 3.2')
+    #     dxfpath=dxffile.read()
+    #     with tempfile.NamedTemporaryFile(suffix='.dxf', delete=False) as temp_file:
+    #         temp_file.write(dxfpath)
+    #         temp_filename = temp_file.name
+    #         print(temp_filename)
+    #         doc,outputimg, SimilarAreaDictionary ,spreadsheetId, spreadsheet_url , namepathArr , list1,hatched_areas=dxf__omar3_2.mainFunctionDrawImgPdf(dataDoc,temp_filename,result[4] , pdfpath,result[0])
+    #         dbPath='/TSA JOBS/ADR Test'+pdfpath+'Measured Plan/' 
+    #         pdflink= tsadropboxretrieval.uploadanyFile(doc=doc,path=dbPath,pdfname=result[0]) #doc=doc,pdfname=path,pdfpath=pdfpath+'Measured Plan/'
+
+    #         _, buffer = cv2.imencode('.png', outputimg)
+    #         arr=[ base64.b64encode(buffer).decode('utf-8'),SimilarAreaDictionary.to_dict(), spreadsheet_url,spreadsheetId,[],list1.to_dict(),pdflink,hatched_areas,namepathArr]# , spreadsheetId, spreadsheet_url , list1.to_dict()]
+   #################################  -3.3 or 3.2- #################################
+    elif result[5][2].startswith('3.3') or result[5][2].startswith('3.2'): #section value - 3.2 floor finishes
+            print('code of 3.3 and 3.2')
             dxfpath=dxffile.read()
             with tempfile.NamedTemporaryFile(suffix='.dxf', delete=False) as temp_file:
                 temp_file.write(dxfpath)
@@ -722,7 +722,6 @@ def cvtSummarytoXML(jsdata):
     return jsonify(xmllink)
  
 
-
 #_________________________________________________________________________________________________________________________
 #_________________________________________________________________________________________________________________________