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# -*- coding: utf-8 -*-
"""TSADropboxRetrieval.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1d-UI3Y-z7Dj-vqu69CxluOUnN4rvsUuE
"""
# !pip install dropbox -q
# pip install pymupdf #==1.22.5
import base64
import requests
import json
import pathlib
import pandas as pd
import dropbox
from dropbox.exceptions import AuthError
import fitz
import io
import re
import pyarrow
from io import BytesIO
"""### NEW CODE - OCTOBER 26 - Marthe"""
files_list=[]
app_key='9bljerefjumct38'
app_secret='nl6k66clw1j1k12'
access_code='sl.Bou05Rb15xPy851-I1UV8oOabHPY21AEPl5nrYl-Q0ninFSy0kTuRWPSve_JPbd3Z03E7eBY4r9R454rdzDM0AxLkyqrQEDzyAGUwP7kZ7s2CR6EwvdLD2a7Xh8nFEs38voLTH2IHzrQ2QEx7rji4OJ8aSQStKtJkI7_dh8tYHj5'
refresh_token='qK2VqvbxWMMAAAAAAAAAAXFQvrHM4xUwWUcZ6l5vGOygn1iAA6zlDjmAQNBbZprL'
basic_auth=base64.b64encode(f'{app_key}:{app_secret}'.encode())
def ADR_Access_DropboxTeam(flag):
if flag=='user':
dbxTeam = dropbox.DropboxTeam(app_key=app_key,
app_secret=app_secret,
oauth2_refresh_token = refresh_token).as_user('dbmid:AACjJg2GKc3tI42iOnD01dd6s0XDyyx6Thw')
elif flag=='admin':
dbxTeam = dropbox.DropboxTeam(app_key=app_key,
app_secret=app_secret,
oauth2_refresh_token = refresh_token).as_admin('dbmid:AACjJg2GKc3tI42iOnD01dd6s0XDyyx6Thw')
root_namespace_id = dbxTeam.users_get_current_account().root_info.root_namespace_id
dbxTeam = dbxTeam.with_path_root(dropbox.common.PathRoot.root(root_namespace_id))
return dbxTeam
def getSharedLink(path):
dbxTeam=ADR_Access_DropboxTeam('user')
try:
shared_link_metadata = dbxTeam.sharing_create_shared_link_with_settings(path)
except:
shared_link_metadata=dbxTeam.sharing_create_shared_link(path)
return shared_link_metadata.url
def handle_entries(entries , files_list):
for file in entries:
if isinstance(file, dropbox.files.FileMetadata):
# if str(file.name).endswith(".pdf"):
metadata = {
'name': file.name,
'path_display': file.path_display,
'client_modified': file.client_modified,
'server_modified': file.server_modified
}
files_list.append(metadata)
df = pd.DataFrame.from_records(files_list)
return df
def dropbox_connect():
"""Create a connection to myyyyyyy Dropbox."""
print('connecy')
try:
# print('ayhaga')
dbxMe = dropbox.Dropbox(
app_key='67w6ibpa9d2b60x',
app_secret='d3ecz8g1604fu04',
oauth2_refresh_token = 'R_LACBBNhysAAAAAAAAAAXt9mMy9OYIV_v4pF45lG6Z8DHNV66rq1q7acWjj_H5g',
)
# dbx=dropbox.Dropbox(access_token)
except AuthError as e:
print('Error connecting to Dropbox with access token: ' + str(e))
return dbxMe
def dropbox_upload_file(df, flag=0):
try:
dbxTeam= ADR_Access_DropboxTeam('admin')
path='/TSA JOBS/ADR Test/DropboxDirectory/df.parquet.gzip'
doc=df.to_parquet()
dbxTeam.files_delete(path)
meta=dbxTeam.files_upload(doc,path)
except Exception as e:
print('Error uploading file to Dropbox: ' + str(e))
return dbxTeam
def check_if_file_exists(dbxTeam,path):
try:
md = dbxTeam.files_get_metadata(path)
exists_bool = True
return exists_bool
except Exception as error_response:
exists_bool = False
return exists_bool
def uploadanyFile(doc,pdfname,path,flag=0):
try:
dbxTeam= ADR_Access_DropboxTeam('admin')
print('ppp')
if flag: #tree = doc
pdfname=str(pdfname).split('.pdf')[0]+'.xml'
path=path+pdfname
print(path)
f = BytesIO()
doc.write(f, encoding='utf-8', xml_declaration=True)
exists_bool=check_if_file_exists(dbxTeam,path)
if exists_bool:
dbxTeam.files_delete(path)
meta=dbxTeam.files_upload(f.getvalue() ,path)
else:
path=path+pdfname
exists_bool=check_if_file_exists(dbxTeam,path)
if exists_bool:
dbxTeam.files_delete(path)
meta=dbxTeam.files_upload(doc.write() ,path)
try:
print('hereintry')
shared_link_metadata = dbxTeam.sharing_create_shared_link_with_settings(path)
except:
print('hereinexcept')
shared_link_metadata=dbxTeam.sharing_create_shared_link(path)
return shared_link_metadata.url
except Exception as e:
print('Error uploading file to Dropbox: ' + str(e))
return 'Error uploading file to Dropbox.'
# Call when the dropbox is updated with new items - if not , call parquet saved version of the df of saved items
# Call when the dropbox is updated with new items - if not , call parquet saved version of the df of saved items
def DropboxItemstoDF(folder_path):
files_list=[]
dbxTeam=ADR_Access_DropboxTeam('user') # or pass dbx in parameters
# folder_path = "/TSA JOBS"
res = dbxTeam.files_list_folder(path=folder_path, recursive=True )
# df1=handle_entries(res.entries , files_list)
if res.has_more:
while res.has_more:
res = dbxTeam.files_list_folder_continue(cursor=res.cursor)
df2=handle_entries(res.entries , files_list)
# dbxTeam=dropbox_upload_file(df2)
# print(df2)
return df2 , files_list
def GetParquetDF():
# Initialize Dropbox client
dbxTeam = ADR_Access_DropboxTeam('user') # or pass dbx in parameters
# Define the path to the Parquet file on Dropbox
path = '/TSA JOBS/ADR Test/DropboxDirectory/df.parquet.gzip'
try:
# Try to create a shared link with settings
shared_link_metadata = dbxTeam.sharing_create_shared_link_with_settings(path=path)
except dropbox.exceptions.ApiError:
# If settings are not supported, create a shared link without settings
shared_link_metadata = dbxTeam.sharing_create_shared_link(path=path)
# Get the file content from the shared link
_, res = dbxTeam.sharing_get_shared_link_file(url=shared_link_metadata.url)
data = res.content
# Read the Parquet file content into a pandas DataFrame
with io.BytesIO(data) as pq_file:
df = pd.read_parquet(pq_file)
return df
def getPathtoPDF_File(nameofPDF):
parquetDf=GetParquetDF()
nameofPDF=nameofPDF.replace('"', '')
try:
path=parquetDf.loc[parquetDf['name'] == nameofPDF, 'path_display'].iloc[0]
link=getSharedLink(path)
print(path,link)
except:
return 'Project does not exist'
return path,link
# parquetDf
# getPathtoPDF_File('A5157-EBLA-V5-XX-SH-L-0004-D2-01.pdf')
def getPDFData(path):
dbxTeam= ADR_Access_DropboxTeam('admin')
md, res =dbxTeam.files_download(path)
data = res.content
return data
def retrieveProjects(projname):
print('retrieve')
parquetDf=GetParquetDF()
documentsToMeasure = []
RelevantDocuments = []
projnameWithDetails = f'{projname} 01 Project Details'
# Split the project name into words and convert to lowercase
matches = set(re.split(r'[`\-= ~!@#$%^&*()_+\[\]{};\'\\:"|<,/<>?]', projnameWithDetails.lower()))
# Convert the 'path_display' column to lowercase for case-insensitive matching
parquetDf['path_display_lower'] = parquetDf['path_display'].str.lower()
# Create a mask to filter relevant documents
mask = parquetDf['path_display_lower'].apply(lambda x: all(match in x for match in matches))
# Filter RelevantDocuments and documentsToMeasure using the mask
RelevantDocuments = parquetDf[mask][['name', 'path_display']].values.tolist()
documentsToMeasure = [doc for doc in RelevantDocuments if doc[0].endswith('.pdf')] # Filter documentsToMeasure for PDF files later if needed
# Remove the temporary 'path_display_lower' column
parquetDf.drop(columns=['path_display_lower'], inplace=True)
print('done')
return documentsToMeasure,RelevantDocuments
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