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Merge pull request 'Cleaned unnecesary code + changed name and url to be unique with priority to verified.csv' (#70) from doctor_dev/darknet-lantern:main into main

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Reviewed-on: http://git.nowherejezfoltodf4jiyl6r56jnzintap5vyjlia7fkirfsnfizflqd.onion/nihilist/darknet-lantern/pulls/70
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nihilist 2025-05-26 18:12:04 +02:00
commit b8b4a770ce
2 changed files with 27 additions and 38 deletions
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1
.gitignore vendored
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@ -5,4 +5,5 @@ scripts/__pycache__/**
.env .env
env/ env/
submissions/submission.csv submissions/submission.csv
venv/

60
scripts/lantern.py
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@ -229,43 +229,31 @@ Maintenance:
newrow=[instance,category,name,url,sensi,desc,'YES','100'] newrow=[instance,category,name,url,sensi,desc,'YES','100']
print_colors(f"[+] NEWROW= {newrow}") print_colors(f"[+] NEWROW= {newrow}")
# (rest is automatic: status, score, instance is = '' because it is your own instance) # (rest is automatic: status, score, instance is = '' because it is your own instance)
# delete existing entries in verified.csv
vdf_same_url_filter = vdf["URL"] == url # check for same url ##### THIS NEW CODE WILL NOT WORK ON RETRO DATA, ONLY ON NEW ENTRIES AND THEIR DUPLICATIONS AFTER THE CHANGE, please advise if to add or its another issue
vdf_same_url_filter_count = vdf_same_url_filter.sum() # total url matches
if vdf_same_url_filter_count > 0: # Checks if new input is in verified.csv and prevents if exist
print(f"Found {vdf_same_url_filter_count} row(s) with the same url in verified.csv") if (vdf['URL'] == url).any() or (vdf['Name'] == name).any():
for index, row in vdf[vdf_same_url_filter].iterrows(): print_colors("Name or url already exist in verified.csv")
print_colors(f"[+] ROW[{index}]= {list(row)}")
vdf = vdf[~vdf_same_url_filter].reset_index(drop=True) # keep only entries that do not match filter else:
print(f"Deleted {vdf_same_url_filter_count} row(s) with the same url in verified.csv") # Delete existing entries from unverified.csv
if desc == '': # if the description is empty = it means that it goes in unverified.csv, so save modified verified.csv file now uvdf = uvdf[(uvdf['URL'] != url) & (uvdf['Name'] != name)]
vdf.to_csv(verifiedcsvfile, index=False)
# delete existing entries in unverified.csv # if the description is empty = it means that it goes in unverified.csv else it goes in verified.csv
uvdf_same_url_filter = uvdf["URL"] == url # check for same url if desc == '':
uvdf_same_url_filter_count = uvdf_same_url_filter.sum() # total url matches print("Adding new row in unverified.csv since description is empty")
if uvdf_same_url_filter_count > 0: uvdf.loc[-1] = newrow # adding a row
print(f"Found {uvdf_same_url_filter_count} row(s) with the same url in unverified.csv") uvdf = uvdf.sort_values(by=["Category","Score"], ascending=[True,False]) # sorting categories
for index, row in uvdf[uvdf_same_url_filter].iterrows(): print_colors("[+] New row added! now writing the csv file")
print_colors(f"[+] ROW[{index}]= {list(row)}") else:
uvdf = uvdf[~uvdf_same_url_filter].reset_index(drop=True) # keep only entries that do not match filter print("Adding new row in verified.csv since descriptioln is not empty")
print(f"Deleted {uvdf_same_url_filter_count} row(s) with the same url in unverified.csv") vdf.loc[-1] = newrow # adding a row
if desc != '': # if the description isnt empty = it means that it goes in verified.csv, so save modified unverified.csv file now vdf = vdf.sort_values(by=["Category","Score"], ascending=[True,False]) # sorting categories
uvdf.to_csv(unverifiedcsvfile, index=False) print_colors("[+] New row added! now writing the csv file")
if desc == '': # if the description is empty = it means that it goes in unverified.csv
print("Adding new row in unverified.csv since description is empty") # saving both csv's data
uvdf.loc[-1] = newrow # adding a row
uvdf.index = uvdf.index + 1 # shifting index
uvdf = uvdf.sort_index() # sorting by index
uvdf = uvdf.sort_values(by=["Category","Score"], ascending=[True,False]) # sorting categories
print_colors("[+] New row added! now writing the csv file")
uvdf.to_csv(unverifiedcsvfile, index=False) uvdf.to_csv(unverifiedcsvfile, index=False)
else: # if the description isnt empty = it means that it goes in verified.csv
print("Adding new row in verified.csv since description is not empty")
vdf.loc[-1] = newrow # adding a row
vdf.index = vdf.index + 1 # shifting index
vdf = vdf.sort_index() # sorting by index
vdf = vdf.sort_values(by=["Category","Score"], ascending=[True,False]) # sorting categories
print_colors("[+] New row added! now writing the csv file")
vdf.to_csv(verifiedcsvfile, index=False) vdf.to_csv(verifiedcsvfile, index=False)
choice=input("\n[+] Want to add another website ? (y/n) ") choice=input("\n[+] Want to add another website ? (y/n) ")