649 lines
24 KiB
Python
649 lines
24 KiB
Python
#
|
|
# Mailstats.py
|
|
#
|
|
#
|
|
# This script provides daily SpamFilter statistics.
|
|
#
|
|
# Re-written in python from Mailstats.pl (Perl) to conform to SME11 / Postfix / qpsmtpd log formats
|
|
# and html output added
|
|
#
|
|
# Todo
|
|
# 1. Make "yesterday" parameterised
|
|
# 2. Get data from SMEServer DB records
|
|
# 3. Other stats
|
|
# 4. Percentages for main table
|
|
# 5. Percentages and sort for Sub tables
|
|
#
|
|
from datetime import datetime, timedelta
|
|
import sys
|
|
from chameleon import PageTemplateFile,PageTemplate
|
|
import pkg_resources
|
|
import re
|
|
import ipaddress
|
|
import subprocess
|
|
import os
|
|
from collections import defaultdict
|
|
|
|
|
|
Mailstats_version = '1.2'
|
|
|
|
script_dir = os.path.dirname(os.path.abspath(__file__))
|
|
data_file_path = script_dir+'/../../../'
|
|
now = datetime.now()
|
|
yesterday = now - timedelta(days=1)
|
|
formatted_yesterday = yesterday.strftime("%Y-%m-%d")
|
|
|
|
# Column numbering
|
|
Hour = 0
|
|
WebMail = 1
|
|
Local = 2
|
|
MailMan = 3
|
|
Relay = 4
|
|
DMARC = 5
|
|
Virus = 6
|
|
RBLDNS = 7
|
|
Geoip = 8
|
|
NonConf = 9
|
|
RejLoad = 10
|
|
Karma = 11
|
|
DelSpam = 12
|
|
QuedSpam = 13
|
|
Ham = 14
|
|
TOTALS = 15
|
|
PERCENT = 16
|
|
ColTotals = 24
|
|
|
|
def is_private_ip(ip):
|
|
try:
|
|
# Convert string to an IPv4Address object
|
|
ip_addr = ipaddress.ip_address(ip)
|
|
except ValueError:
|
|
return False
|
|
# Define private IP ranges
|
|
private_ranges = [
|
|
ipaddress.ip_network('10.0.0.0/8'),
|
|
ipaddress.ip_network('172.16.0.0/12'),
|
|
ipaddress.ip_network('192.168.0.0/16'),
|
|
]
|
|
|
|
# Check if the IP address is within any of these ranges
|
|
for private_range in private_ranges:
|
|
if ip_addr in private_range:
|
|
return True
|
|
|
|
return False
|
|
|
|
def truncate_microseconds(timestamp):
|
|
# Split timestamp into main part and microseconds
|
|
try:
|
|
main_part, microseconds = timestamp.split('.')
|
|
# Truncate the last three digits of the microseconds
|
|
truncated_microseconds = microseconds[:-3]
|
|
# Combine the main part and truncated microseconds
|
|
truncated_timestamp = f"{main_part}.{truncated_microseconds}"
|
|
except Exception as e:
|
|
print(f"{e} {timestamp}")
|
|
raise ValueError
|
|
# Remove the microseconds completely if they exist
|
|
return truncated_timestamp.split('.')[0]
|
|
|
|
# def filter_yesterdays_entries(log_entries):
|
|
# # Determine yesterday's date
|
|
# yesterday = (datetime.datetime.now() - datetime.timedelta(days=1)).date()
|
|
# # Filter entries for yesterday's date
|
|
# yesterday_entries = []
|
|
# for timestamp, data in log_entries:
|
|
# truncated_timestamp = truncate_microseconds(timestamp)
|
|
# entry_date = datetime.datetime.strptime(truncated_timestamp, '%Y-%m-%d %H:%M:%S').date()
|
|
# if entry_date == yesterday:
|
|
# parsed_data = parse_data(data)
|
|
# yesterday_entries.append((truncated_timestamp, parsed_data))
|
|
|
|
# return yesterday_entries
|
|
|
|
def read_in_yesterday_log_file(file_path):
|
|
# Read the file and split each line into a list - timestamp and the rest
|
|
# Get current date and calculate yesterday's date
|
|
log_entries = []
|
|
skip_record_count = 0;
|
|
with open(file_path, 'r') as file:
|
|
for Line in file:
|
|
#extract time stamp
|
|
try:
|
|
entry = split_timestamp_and_data(Line)
|
|
# compare with yesterday
|
|
timestamp_str = truncate_microseconds(entry[0])
|
|
except ValueError as e:
|
|
#print(f"ValueError {e} on timestamp create {timestamp_str}:{entry[0]} {entry[1]}")
|
|
skip_record_count += 1
|
|
continue
|
|
# Parse the timestamp string into a datetime object
|
|
# Ignoring extra microseconds
|
|
try:
|
|
timestamp = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S")
|
|
except ValueError as e:
|
|
print(f"ValueError {e} on timestamp extract {timestamp_str}:{entry[1]}")
|
|
if timestamp.date() == yesterday.date():
|
|
log_entries.append((timestamp, entry[1]))
|
|
return [log_entries,skip_record_count]
|
|
|
|
def filter_summary_records(log_entries):
|
|
# Return just the summary records
|
|
filtered_log_entries = []
|
|
skipped_entry_count = 0
|
|
for line in log_entries:
|
|
#print(line)
|
|
#quit()
|
|
if '`' in line[1]:
|
|
filtered_log_entries.append(line)
|
|
else:
|
|
skipped_entry_count += 1
|
|
return [filtered_log_entries,skipped_entry_count]
|
|
|
|
def sort_log_entries(log_entries):
|
|
# Sort the records, based on the timestamp
|
|
sorted_entries = sorted(log_entries, key=lambda x: x[0])
|
|
# and return a dictionary
|
|
sorted_dict = {entry[0]: entry[1] for entry in sorted_entries}
|
|
return sorted_dict
|
|
|
|
|
|
# def read_and_filter_yesterday_log(file_path):
|
|
# # Read the file and split each line into a dictionary
|
|
# log_entries = []
|
|
# with open(file_path, 'r') as file:
|
|
# for line in file:
|
|
# if '`' in line:
|
|
# parts = line.split(' ')
|
|
# if parts:
|
|
# # Combine parts to form the complete timestamp
|
|
# timestamp = ' '.join(parts[:2])
|
|
# data = ' '.join(parts[2:]) # The rest of the line after date and time
|
|
# log_entries.append((timestamp, data))
|
|
|
|
# # Filter the entries to keep only those from yesterday
|
|
# filtered_entries = filter_yesterdays_entries(log_entries)
|
|
|
|
# # Sort the filtered log entries based on the truncated timestamp
|
|
# sorted_entries = sorted(filtered_entries, key=lambda x: datetime.datetime.strptime(x[0], '%Y-%m-%d %H:%M:%S'))
|
|
|
|
# # Create a dictionary
|
|
# sorted_dict = {entry[0]: entry[1] for entry in sorted_entries}
|
|
|
|
# return sorted_dict
|
|
|
|
def parse_data(data):
|
|
# Split data string into parts and map to named fields.
|
|
# Adjust the field names and parsing logic according to your data format.
|
|
# Split at the backtick - before it fields split at space, after, fields split at tab
|
|
parts = data.split('`')
|
|
#print(f"{parts[0]}:{parts[1]}")
|
|
fields1 = parts[0].strip().split() if len(parts) > 0 else []
|
|
fields2 = parts[1].split('\t') if len(parts) > 1 else []
|
|
# then merge them
|
|
fields = fields1 + fields2
|
|
# if fields[8] != 'queued':
|
|
# i = 0
|
|
# print(f"len:{len(fields)}")
|
|
# for part in fields:
|
|
# print(f"{i}: {part}")
|
|
# i = i +1
|
|
# quit()
|
|
# and mapping:
|
|
try:
|
|
return_dict = {
|
|
'id': fields[0].strip() if len(fields) > 0 else None,
|
|
'action': fields[1].strip() if len(fields) > 1 else None,
|
|
'logterse': fields[2].strip() if len(fields) > 2 else None,
|
|
'ip': fields[3].strip() if len(fields) > 3 else None,
|
|
'sendurl': fields[4].strip() if len(fields) > 4 else None, #1
|
|
'sendurl1': fields[5].strip() if len(fields) > 5 else None, #2
|
|
'from-email': fields[6].strip() if len(fields) > 6 else None, #3
|
|
'error-reason': fields[6].strip() if len(fields) > 6 else None, #3
|
|
'to-email': fields[7].strip() if len(fields) > 7 else None, #4
|
|
'error-plugin': fields[8].strip() if len(fields) > 8 else None, #5
|
|
'action1': fields[8].strip() if len(fields) > 8 else None, #5
|
|
'error-number' : fields[9].strip() if len(fields) > 9 else None, #6
|
|
'sender': fields[10].strip() if len(fields) > 10 else None, #7
|
|
'error-msg' :fields[10].strip() if len(fields) > 10 else None, #7
|
|
'spam-status': fields[11].strip() if len(fields) > 11 else None, #8
|
|
'error-result': fields[11].strip() if len(fields) > 11 else None,#8
|
|
# Add more fields as necessary
|
|
}
|
|
except:
|
|
#print(f"error:len:{len(fields)}")
|
|
return_dict = {}
|
|
return return_dict
|
|
|
|
def count_entries_by_hour(log_entries):
|
|
hourly_counts = defaultdict(int)
|
|
for entry in log_entries:
|
|
# Extract hour from the timestamp
|
|
timestamp = entry['timestamp']
|
|
hour = datetime.datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S').strftime('%Y-%m-%d %H')
|
|
hourly_counts[hour] += 1
|
|
return hourly_counts
|
|
|
|
def initialize_2d_array(num_hours, column_headers_len,reporting_date):
|
|
num_hours += 1 # Adjust for the zeroth hour
|
|
# Initialize the 2D list with zeroes
|
|
return [[0] * column_headers_len for _ in range(num_hours)]
|
|
|
|
def search_2d_list(target, data):
|
|
"""
|
|
Search for a target string in a 2D list of variable-length lists of strings.
|
|
|
|
:param target: str, the string to search for
|
|
:param data: list of lists of str, the 2D list to search
|
|
:return: int, the row number where the target string is found, or -1 if not found
|
|
"""
|
|
for row_idx, row in enumerate(data):
|
|
if target in row:
|
|
return row_idx
|
|
return -1 # Return -1 if not found
|
|
|
|
def check_html2text_installed():
|
|
try:
|
|
# Check if html2text is installed by running 'which html2text'
|
|
result = subprocess.run(
|
|
['which', 'html2text'],
|
|
check=True,
|
|
stdout=subprocess.PIPE,
|
|
stderr=subprocess.PIPE
|
|
)
|
|
|
|
# If the command finds html2text, it will output the path
|
|
html2text_path = result.stdout.decode('utf-8').strip()
|
|
|
|
if not html2text_path:
|
|
raise FileNotFoundError
|
|
|
|
print(f"html2text is installed at: {html2text_path}")
|
|
return True
|
|
|
|
except subprocess.CalledProcessError:
|
|
print("html2text is not installed. Please install it using your package manager.", file=sys.stderr)
|
|
return False
|
|
|
|
def html_to_text(input_file, output_file):
|
|
if not check_html2text_installed():
|
|
sys.exit(1)
|
|
try:
|
|
# Run the html2text command with -b0 --pad-tables parameters
|
|
result = subprocess.run(
|
|
['html2text', '-b0', '--pad-tables', input_file],
|
|
check=True, # Raise a CalledProcessError on non-zero exit
|
|
stdout=subprocess.PIPE, # Capture stdout
|
|
stderr=subprocess.PIPE # Capture stderr
|
|
)
|
|
|
|
# Write the stdout from the command to the output file
|
|
with open(output_file, 'w', encoding='utf-8') as outfile:
|
|
outfile.write(result.stdout.decode('utf-8'))
|
|
|
|
print(f"Converted {input_file} to {output_file}")
|
|
except subprocess.CalledProcessError as e:
|
|
print(f"Error occurred: {e.stderr.decode('utf-8')}", file=sys.stderr)
|
|
sys.exit(e.returncode)
|
|
|
|
def get_html2text_version():
|
|
try:
|
|
result = subprocess.run(['html2text', '--version'], stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
|
|
# Ensure the result is treated as a string in Python 3.6+
|
|
return result.stdout.strip()
|
|
except subprocess.CalledProcessError as e:
|
|
print(f"Error occurred while checking html2text version: {e}", file=sys.stderr)
|
|
return None
|
|
|
|
def print_progress_bar(iteration, total, prefix='', suffix='', decimals=1, length=50, fill='█', print_end="\r"):
|
|
"""
|
|
Call in a loop to create a terminal progress bar
|
|
@params:
|
|
iteration - Required : current iteration (Int)
|
|
total - Required : total iterations (Int)
|
|
prefix - Optional : prefix string (Str)
|
|
suffix - Optional : suffix string (Str)
|
|
decimals - Optional : positive number of decimals in percent complete (Int)
|
|
length - Optional : character length of bar (Int)
|
|
fill - Optional : bar fill character (Str)
|
|
print_end - Optional : end character (e.g. "\r", "\r\n") (Str)
|
|
"""
|
|
if total == 0:
|
|
raise ValueError("Progress total is zero")
|
|
percent = ("{0:." + str(decimals) + "f}").format(100 * (iteration / float(total)))
|
|
filled_length = int(length * iteration // total)
|
|
bar = fill * filled_length + '-' * (length - filled_length)
|
|
print(f'\r{prefix} |{bar}| {percent}% {suffix}', end=print_end)
|
|
# Print New Line on Complete
|
|
if iteration == total:
|
|
print()
|
|
|
|
def insert_string_after(original:str, to_insert:str, after:str) -> str:
|
|
"""
|
|
Insert to_insert into original after the first occurrence of after.
|
|
|
|
:param original: The original string.
|
|
:param to_insert: The string to be inserted.
|
|
:param after: The set of characters after which the string will be inserted.
|
|
:return: The new string with to_insert inserted after after.
|
|
"""
|
|
position = original.find(after)
|
|
#print(position)
|
|
|
|
if position == -1:
|
|
# 'after' string is not found in 'original'
|
|
return original
|
|
#print(f"{len(after)}")
|
|
# Position of the insertion point
|
|
insert_pos = position + len(after)
|
|
|
|
return original[:insert_pos] + to_insert + original[insert_pos:]
|
|
|
|
def split_timestamp_and_data(log_entry: str) -> list:
|
|
"""
|
|
Split a log entry into timestamp and the rest of the data.
|
|
|
|
:param log_entry: The log entry as a string.
|
|
:return: A list with two entries: [timestamp, rest_of_data].
|
|
"""
|
|
# The timestamp is always the first part, up to the first space after the milliseconds
|
|
parts = log_entry.split(' ', 2)
|
|
|
|
if len(parts) < 3:
|
|
raise ValueError(f"The log entry format is incorrect {parts}")
|
|
|
|
timestamp = ' '.join(parts[:2])
|
|
rest_of_data = parts[2]
|
|
#print(f"{timestamp} {rest_of_data}")
|
|
|
|
return [timestamp, rest_of_data]
|
|
|
|
def render_sub_table(table_title,table_headers,found_values):
|
|
# NeedNOTE: also need to compute the percentages here.
|
|
template_path = data_file_path+'mailstats-sub-table.html.pt'
|
|
# Load the template
|
|
with open(template_path, 'r') as template_file:
|
|
template_content = template_file.read()
|
|
# Create a Chameleon template instance
|
|
try:
|
|
template = PageTemplate(template_content)
|
|
# Render the template with the 2D array data and column headers
|
|
try:
|
|
rendered_html = template(array_2d=found_values, column_headers=table_headers, title=table_title)
|
|
except Exception as e:
|
|
print(f"{table_title}: A chameleon controller render error occurred: {e}")
|
|
raise ValueError
|
|
except Exception as e:
|
|
print(f"{table_title}: A chameleon controller template error occurred: {e}")
|
|
raise ValueError
|
|
return rendered_html
|
|
|
|
if __name__ == "__main__":
|
|
try:
|
|
chameleon_version = pkg_resources.get_distribution("Chameleon").version
|
|
except pkg_resources.DistributionNotFound:
|
|
chameleon_version = "Version information not available"
|
|
python_version = sys.version
|
|
python_version = python_version[:8]
|
|
current_datetime = datetime.now()
|
|
formatted_datetime = current_datetime.strftime("%Y-%m-%d %H:%M")
|
|
|
|
#From SMEServer DB
|
|
DomainName = 'bjsystems.co.uk' # $cdb->get('DomainName')->value;
|
|
RHSenabled = True #( $cdb->get('qpsmtpd')->prop('RHSBL') eq 'enabled' );
|
|
DNSenabled = True #( $cdb->get('qpsmtpd')->prop('DNSBL') eq 'enabled' );
|
|
SARejectLevel = 12 #$cdb->get('spamassassin')->prop('RejectLevel');
|
|
SATagLevel = 4 #$cdb->get('spamassassin')->prop('TagLevel');
|
|
|
|
FetchmailIP = '127.0.0.200'; #Apparent Ip address of fetchmail deliveries
|
|
WebmailIP = '127.0.0.1'; #Apparent Ip of Webmail sender
|
|
localhost = 'localhost'; #Apparent sender for webmail
|
|
FETCHMAIL = 'FETCHMAIL'; #Sender from fetchmail when Ip address not 127.0.0.200 - when qpsmtpd denies the email
|
|
MAILMAN = "bounces"; #sender when mailman sending when orig is localhost
|
|
DMARCDomain="dmarc"; #Pattern to recognised DMARC sent emails (this not very reliable, as the email address could be anything)
|
|
DMARCOkPattern="dmarc: pass"; #Pattern to use to detect DMARC approval
|
|
hello_string = "Mailstats:"+Mailstats_version+' for '+DomainName+" at "+formatted_datetime+" for "+formatted_yesterday
|
|
print(hello_string)
|
|
version_string = "Chameleon:"+chameleon_version+" Python:"+python_version
|
|
print(version_string)
|
|
|
|
num_hours = 25 # Represents hours from 0 to 23 - adds extra one for column totals and another for percentages
|
|
|
|
data_file = data_file_path+'current.log'
|
|
log_entries,skip_count = read_in_yesterday_log_file(data_file)
|
|
if len(log_entries) == 0:
|
|
print(f"No records found in {data_file}")
|
|
quit()
|
|
else:
|
|
print(f"Found {len(log_entries)} entries in log for for {formatted_yesterday} skipped {skip_count}")
|
|
summary_log_entries,skip_count = filter_summary_records(log_entries)
|
|
print(f"Found {len(summary_log_entries)} summary entries and skipped {skip_count} entries")
|
|
sorted_log_dict = sort_log_entries(summary_log_entries)
|
|
print(f"Sorted {len(sorted_log_dict)} entries")
|
|
|
|
columnHeaders = ['Count','WebMail','Local','MailMan','Relay','DMARC','Virus','RBL/DNS','Geoip.','Non.Conf.','Karma','Rej.Load','Del.Spam','Qued.Spam?',' Ham','TOTALS','PERCENT']
|
|
# dict for each colum identifying plugin that increments count
|
|
columnPlugin = [''] * 17
|
|
columnPlugin[Hour] = []
|
|
columnPlugin[WebMail] = []
|
|
columnPlugin[Local] = []
|
|
columnPlugin[MailMan] = []
|
|
columnPlugin[DMARC] = ['dmarc']
|
|
columnPlugin[Virus] = ['pattern_filter', 'virus::pattern_filter','virus::clamav']
|
|
columnPlugin[RBLDNS] = ['rhsbl', 'dnsbl','uribl']
|
|
columnPlugin[Geoip] = ['check_badcountries']
|
|
columnPlugin[NonConf] = ['check_earlytalker','check_relay','check_norelay', 'require_resolvable_fromhost'
|
|
,'check_basicheaders','check_badmailfrom','check_badrcptto_patterns'
|
|
,'check_badrcptto','check_spamhelo','check_goodrcptto extn','rcpt_ok'
|
|
,'check_goodrcptto','check_smtp_forward','count_unrecognized_commands','tls','auth::auth_cvm_unix_local'
|
|
,'auth::auth_imap', 'earlytalker','resolvable_fromhost','relay','headers','mailfrom','badrcptto','helo'
|
|
,'check_smtp_forward','sender_permitted_from']
|
|
columnPlugin[RejLoad] = ['loadcheck']
|
|
columnPlugin[DelSpam] = []
|
|
columnPlugin[QuedSpam] = []
|
|
columnPlugin[Ham] = []
|
|
columnPlugin[TOTALS] = []
|
|
columnPlugin[PERCENT] = []
|
|
columnPlugin[Karma] = ['karma']
|
|
|
|
columnHeaders_len = len(columnHeaders)
|
|
columnCounts_2d = initialize_2d_array(num_hours, columnHeaders_len,formatted_yesterday)
|
|
|
|
virus_pattern = re.compile(r"Virus found: (.*)")
|
|
found_viruses = defaultdict(int)
|
|
|
|
found_qpcodes = defaultdict(int)
|
|
qpcodes_pattern = re.compile(r".*(\(.*\)).*'")
|
|
i = 0;
|
|
sorted_len= len(sorted_log_dict)
|
|
# Initial call to print the progress bar
|
|
print_progress_bar(0, sorted_len, prefix='Progress:', suffix='Complete', length=50)
|
|
for timestamp, data in sorted_log_dict.items():
|
|
i += 1
|
|
print_progress_bar(i, sorted_len, prefix='Scanning for main table:', suffix='Complete', length=50)
|
|
#print(f"{i*100/len}%")
|
|
# Count of in which hour it falls
|
|
#hour = datetime.datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S').strftime('%Y-%m-%d %H')
|
|
# Parse the timestamp string into a datetime object
|
|
dt = timestamp
|
|
hour = dt.hour
|
|
# parse the data
|
|
#print(data)
|
|
parsed_data = parse_data(data)
|
|
#print(f"parsed_data['action']:{parsed_data['action']}\n")
|
|
|
|
# Increment Count in which headings it falls
|
|
#Hourly count and column total
|
|
columnCounts_2d[hour][Hour] += 1
|
|
columnCounts_2d[ColTotals][Hour] += 1
|
|
#Row Totals
|
|
columnCounts_2d[hour][TOTALS] += 1
|
|
#Total totals
|
|
columnCounts_2d[ColTotals][TOTALS] += 1
|
|
#Queued email
|
|
if parsed_data['action'] == '(queue)':
|
|
columnCounts_2d[hour][Ham] += 1
|
|
columnCounts_2d[ColTotals][Ham] += 1
|
|
#spamassasin
|
|
if parsed_data['spam-status'].lower().startswith('yes'):
|
|
#Extract other parameters from this string
|
|
# example: Yes, score=10.3 required=4.0 autolearn=disable
|
|
spam_pattern = r'score=([\d.]+)\s+required=([\d.]+)'
|
|
match = re.search(spam_pattern, parsed_data['spam-status'])
|
|
if match:
|
|
score = float(match.group(1))
|
|
required = float(match.group(2))
|
|
#print(f"{parsed_data['spam-status']} / {score} {required}")
|
|
if score >= SARejectLevel:
|
|
columnCounts_2d[hour][DelSpam] += 1
|
|
columnCounts_2d[ColTotals][DelSpam] += 1
|
|
elif score >= required:
|
|
columnCounts_2d[hour][QuedSpam] += 1
|
|
columnCounts_2d[ColTotals][QuedSpam] += 1
|
|
#Local send
|
|
elif DomainName in parsed_data['sendurl']:
|
|
columnCounts_2d[hour][Local] += 1
|
|
columnCounts_2d[ColTotals][Local] += 1
|
|
|
|
#Relay or webmail
|
|
elif not is_private_ip(parsed_data['ip']) and is_private_ip(parsed_data['sendurl1']) and parsed_data['action1'] == 'queued':
|
|
#Relay
|
|
if parsed_data['action1'] == 'queued':
|
|
columnCounts_2d[hour][Relay] += 1
|
|
columnCounts_2d[ColTotals][Relay] += 1
|
|
elif WebmailIP in parsed_data['sendurl1'] and not is_private_ip(parsed_data['ip']):
|
|
#webmail
|
|
columnCounts_2d[hour][WebMail] += 1
|
|
columnCounts_2d[ColTotals][WebMail] += 1
|
|
|
|
elif localhost in parsed_data['sendurl']:
|
|
# but not if it comes from fetchmail
|
|
if not FETCHMAIL in parsed_data['sendurl1']:
|
|
# might still be from mailman here
|
|
if MAILMAN in parsed_data['sendurl1']:
|
|
#$mailmansendcount++;
|
|
#$localsendtotal++;
|
|
columnCounts_2d[hour][MailMan] += 1
|
|
columnCounts_2d[ColTotals][MailMan] += 1
|
|
#$counts{$abshour}{$CATMAILMAN}++;
|
|
#$localflag = 1;
|
|
else:
|
|
#Or sent to the DMARC server
|
|
#check for email address in $DMARC_Report_emails string
|
|
#my $logemail = $log_items[4];
|
|
if DMARCDomain in parsed_data['from-email']: #(index($DMARC_Report_emails,$logemail)>=0) or
|
|
#$localsendtotal++;
|
|
#$DMARCSendCount++;
|
|
localflag = 1;
|
|
else:
|
|
# ignore incoming localhost spoofs
|
|
if not 'msg denied before queued' in parsed_data['error-msg']:
|
|
#Webmail
|
|
#$localflag = 1;
|
|
#$WebMailsendtotal++;
|
|
columnCounts_2d[hour][WebMail] += 1
|
|
columnCounts_2d[ColTotals][WebMail] += 1
|
|
#$WebMailflag = 1;
|
|
else:
|
|
#$localflag = 1;
|
|
#$WebMailsendtotal++;
|
|
#$WebMailflag = 1;
|
|
columnCounts_2d[hour][WebMail] += 1
|
|
columnCounts_2d[ColTotals][WebMail] += 1
|
|
|
|
#Now increment the column which the plugin name indicates
|
|
if parsed_data['action'] == '(deny)' and parsed_data['error-plugin']:
|
|
#print(f"Found plugin {parsed_data['error-plugin']}")
|
|
if parsed_data['error-plugin']:
|
|
row = search_2d_list(parsed_data['error-plugin'],columnPlugin)
|
|
if not row == -1:
|
|
#print(f"Found row: {row}")
|
|
columnCounts_2d[hour][row] += 1
|
|
columnCounts_2d[ColTotals][row] += 1
|
|
# a few ad hoc extra extractons of data
|
|
if row == Virus:
|
|
match = virus_pattern.match(parsed_data['action1'])
|
|
if match:
|
|
found_viruses[match.group(1)] += 1
|
|
else:
|
|
found_viruses[parsed_data['action1']] += 1
|
|
elif parsed_data['error-plugin'] == 'naughty':
|
|
match = qpcodes_pattern.match(parsed_data['action1'])
|
|
if match:
|
|
rejReason = match.group(1)
|
|
found_qpcodes[parsed_data['error-plugin']+"-"+rejReason] += 1
|
|
else:
|
|
found_qpcodes['Unknown'] += 1
|
|
else:
|
|
found_qpcodes[parsed_data['action1']] += 1
|
|
|
|
print()
|
|
|
|
# Now scan for the other lines in the log of interest
|
|
found_countries = defaultdict(int)
|
|
geoip_pattern = re.compile(r".*check_badcountries: GeoIP Country: (.*)")
|
|
dmarc_pattern = re.compile(r".*dmarc: pass")
|
|
total_countries = 0
|
|
DMARCOkCount = 0
|
|
# Pick up all log_entries = read_yesterday_log_file(data_file)
|
|
sorted_log_dict = sort_log_entries(log_entries)
|
|
|
|
i = 0
|
|
sorted_len = len(sorted_log_dict)
|
|
print_progress_bar(0, sorted_len, prefix='Progress:', suffix='Complete', length=50)
|
|
for timestamp, data in sorted_log_dict.items():
|
|
i += 1
|
|
print_progress_bar(i, sorted_len, prefix='Scanning for sub tables:', suffix='Complete', length=50)
|
|
#Pull out Geoip countries for analysis table
|
|
match = geoip_pattern.match(data)
|
|
if match:
|
|
country = match.group(1)
|
|
found_countries[country] += 1
|
|
total_countries += 1
|
|
continue
|
|
#Pull out DMARC approvals
|
|
match = dmarc_pattern.match(data)
|
|
if match:
|
|
DMARCOkCount += 1
|
|
continue
|
|
|
|
#Now apply the results to the chameleon template - main table
|
|
# Path to the template file
|
|
template_path = data_file_path+'mailstats.html.pt'
|
|
# Load the template
|
|
with open(template_path, 'r') as template_file:
|
|
template_content = template_file.read()
|
|
# Create a Chameleon template instance
|
|
template = PageTemplate(template_content)
|
|
# Render the template with the 2D array data and column headers
|
|
rendered_html = template(array_2d=columnCounts_2d, column_headers=columnHeaders, reporting_date=formatted_yesterday, title=hello_string, version=version_string)
|
|
total_html = rendered_html
|
|
|
|
#Now apply the results to the chameleon template - subservient tables
|
|
#qpsmtd codes
|
|
qpsmtpd_headers = ["Code",'Count','Percent','Reason']
|
|
qpsmtpd_title = 'Qpsmtpd codes league table:'
|
|
rendered_html = render_sub_table(qpsmtpd_title,qpsmtpd_headers,found_qpcodes)
|
|
# Add it to the total
|
|
total_html = insert_string_after(total_html,rendered_html, "<!---Add in sub tables here -->")
|
|
|
|
#Geoip Country codes
|
|
geoip_headers = ['Country','Count','Percent','Rejected?']
|
|
geoip_title = 'Geoip results:'
|
|
rendered_html = render_sub_table(geoip_title,geoip_headers,found_countries)
|
|
# Add it to the total
|
|
total_html = insert_string_after(total_html,rendered_html, "<!---Add in sub tables here -->")
|
|
|
|
# Write the rendered HTML to a file
|
|
output_path = data_file_path+'mailstats_for_'+formatted_yesterday
|
|
output_path = output_path.replace(' ','_')
|
|
with open(output_path+'.html', 'w') as output_file:
|
|
output_file.write(total_html)
|
|
#and create a text version if the local version is suffiicent
|
|
if get_html2text_version() == '2019.9.26':
|
|
html_to_text(output_path+'.html',output_path+'.txt')
|
|
print(f"Rendered HTML saved to {output_path}.html/txt")
|
|
|
|
|
|
|