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fix stuff

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root 2025-05-18 12:24:43 +02:00
parent e592602b82
commit 6150373c3f
2 changed files with 1501 additions and 1 deletions
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41
scripts/lantern.py
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@ -635,6 +635,7 @@ Maintenance:
print("[+] Removing the participant's duplicate entries... ") print("[+] Removing the participant's duplicate entries... ")
# REMOVE DUPLICATES !!! do not accept any duplicate from remote participants # REMOVE DUPLICATES !!! do not accept any duplicate from remote participants
csvdf = csvdf.drop_duplicates(subset=['URL'], keep="first", inplace=False) csvdf = csvdf.drop_duplicates(subset=['URL'], keep="first", inplace=False)
csvdf = csvdf.drop_duplicates(subset=['Name'], keep="first", inplace=False)
csvdf.to_csv(csvfilepath, index=False) csvdf.to_csv(csvfilepath, index=False)
csvdf = pd.read_csv(csvfilepath, on_bad_lines='skip') csvdf = pd.read_csv(csvfilepath, on_bad_lines='skip')
@ -649,6 +650,7 @@ Maintenance:
################################ SANITY CHECKS #################################### ################################ SANITY CHECKS ####################################
### SANITY CHECK 0: make sure that ✔️ and x are replaced with YES/NO, as it changed since v1.0.1 ### ### SANITY CHECK 0: make sure that ✔️ and x are replaced with YES/NO, as it changed since v1.0.1 ###
if csvdf.at[i, 'Status'] == "✔️" or csvdf.at[i, 'Status'] == "YES" : if csvdf.at[i, 'Status'] == "✔️" or csvdf.at[i, 'Status'] == "YES" :
@ -689,13 +691,16 @@ Maintenance:
filterterm=csvdf.at[i, 'URL'] filterterm=csvdf.at[i, 'URL']
#print('1)',filterterm) #print('1)',filterterm)
filter_vdf= vdf[vdf.URL.str.contains(filterterm,na=False)] filter_vdf= vdf[vdf.URL.str.contains(filterterm,na=False)]
filter_vdf2= vdf[vdf.Name.str.contains(filterterm,na=False)] # do not accept the new link if the name already exists in verified.csv
#print('2)',filter_vdf) #print('2)',filter_vdf)
#print('3)',uvdf[uvdf.URL.str.contains(filterterm,na=False)] ) #print('3)',uvdf[uvdf.URL.str.contains(filterterm,na=False)] )
uvdf = pd.read_csv(unverifiedcsvfile, on_bad_lines='skip') uvdf = pd.read_csv(unverifiedcsvfile, on_bad_lines='skip')
# TODO DELETE ALL DUPLICATES OF UVDF ! # TODO DELETE ALL DUPLICATES OF UVDF !
uvdf = uvdf.drop_duplicates(subset=['URL'], keep="first", inplace=False) uvdf = uvdf.drop_duplicates(subset=['URL'], keep="first", inplace=False)
uvdf = uvdf.drop_duplicates(subset=['Name'], keep="first", inplace=False)
filter_uvdf= uvdf[uvdf.URL.str.contains(filterterm,na=False)] filter_uvdf= uvdf[uvdf.URL.str.contains(filterterm,na=False)]
if len(filter_uvdf.index) == 0 and len(filter_vdf.index) == 0: filter_uvdf2= uvdf[uvdf.Name.str.contains(filterterm,na=False)] # do not accept the new link if the name already exists in unverified.csv
if len(filter_uvdf.index) == 0 and len(filter_vdf.index) == 0 and len(filter_uvdf2.index) == 0 and len(filter_vdf2.index) == 0 :
newrow=row newrow=row
uvdf.loc[-1] = newrow # adding a row uvdf.loc[-1] = newrow # adding a row
uvdf.index = uvdf.index + 1 # shifting index uvdf.index = uvdf.index + 1 # shifting index
@ -723,6 +728,22 @@ Maintenance:
#print_colors(f'[-] Rows to delete: {rows2delete}', is_error=True) #print_colors(f'[-] Rows to delete: {rows2delete}', is_error=True)
# only delete rows after you've gone through all the unverified.csv OR verified.csv rows' # only delete rows after you've gone through all the unverified.csv OR verified.csv rows'
# check for NAME duplicates and mark them for deletion:
# remove name duplicates that are in unverifie.csv yet exist in verified.csv (as verified.csv takes the priority)
if w == 'unverified.csv':
try:
# check if the given row Name already exists in verified.csv
filterterm=csvdf.at[i, 'Name']
filter_vdf= vdf[vdf.Name.str.contains(filterterm,na=False)]
print('[+] CHECKING FOR DUPLIATES: ',filterterm)
if len(filter_vdf.index) != 0:
# drop the unverified.csv row if its name already exists in verified.csv
print('[+] DUPLICATE FOUND, MARKING ROW FOR DELETION: ',row)
rows2delete.append(i) #mark the row for deletion if not already done
except:
pass
for i in rows2delete: for i in rows2delete:
row=csvdf.loc[i,:].values.tolist() row=csvdf.loc[i,:].values.tolist()
print_colors(f'[+] REMOVING ROW: {i}{row}') print_colors(f'[+] REMOVING ROW: {i}{row}')
@ -749,6 +770,24 @@ Maintenance:
uvdf_updated = merged_df[uvdf.columns] uvdf_updated = merged_df[uvdf.columns]
uvdf_updated.to_csv(unverifiedcsvfile, index=False) uvdf_updated.to_csv(unverifiedcsvfile, index=False)
print(f'[+] Updated {no_descr_filter_count} empty description(s) in your unverified.csv found on partipant\'s {w}') print(f'[+] Updated {no_descr_filter_count} empty description(s) in your unverified.csv found on partipant\'s {w}')
# remove all name duplicates from your own unverified.csv file:
for i,j in uvdf.iterrows():
row=uvdf.loc[i,:].values.tolist()
# check if the given row Name already exists in verified.csv
filterterm=uvdf.at[i, 'Name']
filter_vdf= vdf[vdf.Name.str.contains(filterterm,na=False)]
print('[+] CHECKING FOR DUPLIATES: ',filterterm)
if len(filter_vdf.index) != 0:
# drop the unverified.csv row if its name already exists in verified.csv
print('[+] DUPLICATE FOUND, MARKING ROW FOR DELETION: ',row)
rows2delete.append(i) #mark the row for deletion if not already done
for i in rows2delete:
row=uvdf.loc[i,:].values.tolist()
print_colors(f'[+] REMOVING ROW: {i}{row}')
uvdf.drop(i, inplace= True)
uvdf.to_csv(unverifiedcsvfile, index=False)
rows2delete= [] # it is an empty list at first
break break

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