Update app.py

app.py

@@ -40,7 +40,6 @@ import Code_2_7
 import Counting_Columns_2_1
 # import Find_Hyperlinking_text
 import ezdxf
-import Azure_api
 from flask import Flask, render_template, session, redirect, url_for
 from flask_session import Session  # Capital "S"
 app = Flask(__name__)
@@ -161,10 +160,6 @@ def get_javascript_data(jsdata):
 def searchDocument():
     return render_template('wordSearch.html')
 
-@app.route('/tableDetection',methods=["GET", "POST"])
-def TableDetection():
-    return render_template('tableDetection.html')
-
 @app.route('/legends',methods=["GET", "POST"])
 def legendDirectory():
     return render_template('legendDirectory.html')
@@ -239,31 +234,7 @@ def getfromdropboxImg(jsdata):
     img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
     _, buffer = cv2.imencode('.png', img)
     return base64.b64encode(buffer).decode('utf-8')
-
-
-@app.route('/savedetectedtables/',methods=["POST"])
-def table():
-    # 1. Get PDF bytes from Dropbox
-    tt = eval(request.form.get('answers'))              # consider json.loads instead of eval
-    pdfpath, _ = tsadropboxretrieval.getPathtoPDF_File(nameofPDF=tt[0])
-    dbx = tsadropboxretrieval.ADR_Access_DropboxTeam('user')
-    _, res = dbx.files_download(path=pdfpath)
-    pdf_bytes = res.content
-
-    # 2. Generate in-memory Excel
-    excel_io = Azure_api.detect_tables(pdf_bytes)
-    print('type(excel_io) = ', type(excel_io))
-    # 3. Send it as a downloadable .xlsx
-    if excel_io is None:
-        # No tables → return a JSON error (or another response of your choice)
-        return ('', 204)
-        
-    return send_file(
-        excel_io,
-        as_attachment=True,
-        download_name='detected_tables.xlsx',
-        mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
-    )
+    
 
 @app.route('/savebase64Img/',methods=["POST"])
 def stringToRGB():
@@ -295,35 +266,17 @@ def stringToRGB():
        
 
     if vv[5][2].startswith('2.8') or vv[5][2].startswith('2.6')  or vv[5][2].startswith('2.1'):
-        print(f"el mawgood fe vv[0]: {vv[0]}")
-        arr_s = []
-        dataDocs = []
-        pls = []
-        for v in vv[0]:
-            pdfpath,pdflink=tsadropboxretrieval.getPathtoPDF_File(nameofPDF= str(v))
-            dbxTeam= tsadropboxretrieval.ADR_Access_DropboxTeam('user')
-            md, res =dbxTeam.files_download(path=pdfpath)
-            dataDoc = res.content
-            dataDocs.append(dataDoc)
-            doc = fitz.open("pdf",dataDoc)
-            page=doc[0]
-            if page.rotation!=0:
-                page.set_rotation(0)
-            pix = page.get_pixmap(dpi=300)  # render page to an image
-            pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
-            pls.append(pl)
-        arr=measureproject(vv,dataDocs,pls)
-        #pdfpath,pdflink=tsadropboxretrieval.getPathtoPDF_File(nameofPDF= str(vv[0]))
-        #dbxTeam= tsadropboxretrieval.ADR_Access_DropboxTeam('user')
-        #md, res =dbxTeam.files_download(path=pdfpath)
-        #dataDoc = res.content
-        #doc = fitz.open("pdf",dataDoc)
-        #page=doc[0]
-        #if page.rotation!=0:
-         #   page.set_rotation(0)
-        #pix = page.get_pixmap(dpi=300)  # render page to an image
-        #pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
-        #arr=measureproject(vv,dataDoc,pl)
+        pdfpath,pdflink=tsadropboxretrieval.getPathtoPDF_File(nameofPDF= str(vv[0]))
+        dbxTeam= tsadropboxretrieval.ADR_Access_DropboxTeam('user')
+        md, res =dbxTeam.files_download(path=pdfpath)
+        dataDoc = res.content
+        doc = fitz.open("pdf",dataDoc)
+        page=doc[0]
+        if page.rotation!=0:
+            page.set_rotation(0)
+        pix = page.get_pixmap(dpi=300)  # render page to an image
+        pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
+        arr=measureproject(vv,dataDoc,pl)
     return jsonify(arr)
 
 @app.route('/2.1Trial/',methods=["POST"])
@@ -432,7 +385,7 @@ def measureproject(result,dataDoc=0,img=0,dxffile=0):
         # annotatedimg,pdf_document,spreadsheet_url, list1 , df_doors=doors_fasterrcnn.main_run(img,dataDoc,'separated_classes_all.pth',result[0],pdfpath, result[4]) #single_double.pth
         annotatedimg, pdf_document , list1, repeated_labels , not_found =Doors_Schedule.mainRun(dataDocDoorsSchedule, dataDoc, SearchArray)
         dbPath='/TSA JOBS/ADR Test'+pdfpath+'Measured Plan/' 
-        pdflink= tsadropboxretrieval.uploadanyFile(doc=pdf_document,path=dbPath,pdfname="combined_output.pdf") #doc=doc,pdfname=path,pdfpath=pdfpath+'Measured Plan/
+        pdflink= tsadropboxretrieval.uploadanyFile(doc=pdf_document,path=dbPath,pdfname=result[0]) #doc=doc,pdfname=path,pdfpath=pdfpath+'Measured Plan/
         _, buffer = cv2.imencode('.png', annotatedimg)
         repeatedLabelsReturn=''
         NotFoundReturn=''
@@ -834,7 +787,7 @@ def receive_pdf_data():
 
         pdfbytes, pdf_document , df ,tablepdfoutput= Find_Hyperlinking_text.annotate_text_from_pdf([pdfLink], keyword)
         dbxTeam= tsadropboxretrieval.ADR_Access_DropboxTeam('user')
-
+    
         # Get metadata using the shared link
         metadata = dbxTeam.sharing_get_shared_link_metadata(pdfLink)
         dbPath='/TSA JOBS/ADR Test/FIND/'
@@ -1048,6 +1001,7 @@ def cvtSummarytoXML(jsdata):
     xmllink=google_sheet_to_xml.create_xml(documentname=result[1],dbPath=path)
     return jsonify(xmllink)
 
+
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