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retoor 2024-12-22 08:06:49 +01:00
parent 492aacd319
commit fd762b1b80
2 changed files with 195 additions and 41 deletions
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204
plot.py
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import sqlite3
import time
import matplotlib.pyplot as plt
import pathlib
from xmlrpc.client import ServerProxy
api = ServerProxy("https://api.molodetz.nl/rpc")
connection = sqlite3.connect('tikker.db')
def render_per_hour():
weekday_sql = (
"CASE "
"WHEN strftime('%w', timestamp) = '0' THEN 'Sunday' "
"WHEN strftime('%w', timestamp) = '1' THEN 'Monday' "
"WHEN strftime('%w', timestamp) = '2' THEN 'Tuesday' "
"WHEN strftime('%w', timestamp) = '3' THEN 'Wednesday' "
"WHEN strftime('%w', timestamp) = '4' THEN 'Thursday' "
"WHEN strftime('%w', timestamp) = '5' THEN 'Friday' "
"WHEN strftime('%w', timestamp) = '6' THEN 'Saturday' "
"END"
)
def query(sql):
start = time.time()
cursor = connection.cursor()
print(sql)
result = cursor.execute(sql).fetchall()
cursor.execute("SELECT count(0) as total, strftime('%H',timestamp) as hour FROM kevent WHERE event = 'PRESSED' GROUP BY hour ORDEr BY hour")
rows_presses = cursor.fetchall()
cursor.close()
duration = time.time() - start
cursor.execute("SELECT count(0) as total, strftime('%H',timestamp) as hour FROM kevent WHERE event = 'REPEATED' GROUP BY hour ORDEr BY hour")
rows_repeated = cursor.fetchall()
print("Duration: {}\n".format(duration))
return result
def render_per_hour(week):
week = f"'{week}'"
cursor.execute("SELECT count(0) as total, strftime('%H',timestamp) as hour FROM kevent WHERE event = 'RELEASED' GROUP BY hour ORDEr BY hour")
rows_released = cursor.fetchall()
sql_presses = (
"SELECT count(0) as total, strftime('%H', timestamp) as hour, "
"strftime('%U', timestamp) as week "
"FROM kevent WHERE event = 'PRESSED' AND week = {week} "
"GROUP BY week, hour ORDER BY hour"
)
import matplotlib.pyplot as plt
sql_repeated = (
"SELECT count(0) as total, strftime('%H', timestamp) as hour, "
"strftime('%U', timestamp) as week "
"FROM kevent WHERE event = 'REPEATED' AND week = {week} "
"GROUP BY week, hour ORDER BY hour"
)
sql_released = (
"SELECT count(0) as total, strftime('%H', timestamp) as hour, "
"strftime('%U', timestamp) as week "
"FROM kevent WHERE event = 'RELEASED' AND week = {week} "
"GROUP BY week, hour ORDER BY hour"
)
rows_presses = query(sql_presses.format(week=week))
rows_repeated = query(sql_repeated.format(week=week))
rows_released = query(sql_released.format(week=week))
totals = [row[0] for row in rows_presses]
hours = [row[1] for row in rows_presses]
@ -27,66 +72,139 @@ def render_per_hour():
hours_released = [row[1] for row in rows_released]
plt.figure(figsize=(8, 6))
plt.plot(hours_repeated, totals_repeated, marker='o', label='Repeats per hour', color='green')
plt.plot(hours_released, totals_released, marker='o', label='Releases per hour', color='orange')
plt.plot(hours, totals, marker='o', label=f'Presses per hour week {week}', color='red')
plt.plot(hours, totals, marker='o', label='Presses per hour', color='red')
plt.xlabel('Hour')
plt.ylabel('Event count')
plt.title('Keyboard events')
plt.legend()
plt.grid(True)
plt.show()
def render_per_weekday():
cursor = connection.cursor()
plt.savefig(f"graph_week_{week.strip("'")}_per_hour.png")
weekday_sql = """ CASE
WHEN strftime("%w",timestamp) = 0 THEN 'Sunday'
WHEN strftime("%w",timestamp) = 1 THEN 'Monday'
WHEN strftime("%w",timestamp) = 2 THEN 'Tuesday'
WHEN strftime("%w",timestamp) = 3 THEN 'Wednesday'
WHEN strftime("%w",timestamp) = 4 THEN 'Thursday'
WHEN strftime("%w",timestamp) = 5 THEN 'Friday'
WHEN strftime("%w",timestamp) = 6 THEN 'Saturday'
END """
cursor.execute(f"SELECT count(0) as total, {weekday_sql} as weekday, strftime('%w',timestamp) as hour FROM kevent WHERE event = 'PRESSED' GROUP BY hour ORDEr BY hour")
rows_presses = cursor.fetchall()
cursor.execute(f"SELECT count(0) as total, {weekday_sql} as weekday, strftime('%w',timestamp) as hour FROM kevent WHERE event = 'REPEATED' GROUP BY hour ORDEr BY hour")
rows_repeated = cursor.fetchall()
def render_per_weekday(week):
week = f"'{week}'"
cursor.execute(f"SELECT count(0) as total, {weekday_sql} as weekday, strftime('%w',timestamp) as hour FROM kevent WHERE event = 'RELEASED' GROUP BY hour ORDEr BY hour")
rows_released = cursor.fetchall()
import matplotlib.pyplot as plt
sql_presses = (
f"SELECT count(0) as total, {weekday_sql} as weekday, "
"strftime('%w', timestamp) as day, strftime('%U', timestamp) as week "
"FROM kevent WHERE event = 'PRESSED' AND week = {week} "
"GROUP BY week, day ORDER BY day"
)
sql_repeated = (
f"SELECT count(0) as total, {weekday_sql} as weekday, "
"strftime('%w', timestamp) as day, strftime('%U', timestamp) as week "
"FROM kevent WHERE event = 'REPEATED' AND week = {week} "
"GROUP BY week, day ORDER BY day"
)
sql_released = (
f"SELECT count(0) as total, {weekday_sql} as weekday, "
"strftime('%w', timestamp) as day, strftime('%U', timestamp) as week "
"FROM kevent WHERE event = 'RELEASED' AND week = {week} "
"GROUP BY week, day ORDER BY day"
)
rows_presses = query(sql_presses.format(week=week))
rows_repeated = query(sql_repeated.format(week=week))
rows_released = query(sql_released.format(week=week))
totals = [row[0] for row in rows_presses]
hours = [row[2] for row in rows_presses]
days = [row[2] for row in rows_presses]
totals_repeated = [row[0] for row in rows_repeated]
hours_repeated = [row[2] for row in rows_repeated]
days_repeated = [row[2] for row in rows_repeated]
totals_released = [row[0] for row in rows_released]
hours_released = [row[2] for row in rows_released]
days_released = [row[2] for row in rows_released]
plt.figure(figsize=(8, 6))
plt.plot(days_repeated, totals_repeated, marker='o', label='Repeats per weekday', color='green')
plt.plot(days_released, totals_released, marker='o', label='Releases per weekday', color='orange')
plt.plot(days, totals, marker='o', label=f'Presses per weekday week {week}', color='red')
plt.plot(hours_repeated, totals_repeated, marker='o', label='Repeats per weekday', color='green')
plt.plot(hours_released, totals_released, marker='o', label='Releases per weekday', color='orange')
plt.plot(hours, totals, marker='o', label='Presses per weekday', color='red')
plt.xlabel('Day of week (0 = Sunday, 6 = Saturday)')
plt.ylabel('Event count')
plt.title('Keyboard events')
plt.legend()
plt.grid(True)
plt.show()
render_per_hour()
render_per_weekday()
plt.savefig(f"graph_week_{week.strip("'")}_per_weekday.png")
def get_weeks():
sql = "SELECT strftime('%U', timestamp) as week FROM kevent GROUP BY week"
weeks = query(sql)
return [record[0] for record in weeks]
def get_score_per_week():
sql = (
"SELECT strftime('%U', timestamp) as week, event, COUNT(0) as total "
"FROM kevent GROUP BY event, week"
)
return query(sql)
def get_score_per_day():
sql ="SELECT count(0) as total, CASE WHEN strftime('%w', timestamp) = 0 THEN 'Sunday' WHEN strftime('%w', timestamp) = 1 THEN 'Monday' WHEN strftime('%w', timestamp) = 2 THEN 'Tuesday' WHEN strftime('%w', timestamp) = 3 THEN 'Wednesday' WHEN strftime('%w', timestamp) = 4 THEN 'Thursday' WHEN strftime('%w', timestamp) = 5 THEN 'Friday' WHEN strftime('%w', timestamp) = 6 THEN 'Saturday' END as weekday, strftime('%w', timestamp) as day, strftime('%U', timestamp) as week FROM kevent WHERE event = 'REPEATED' AND week = '50' GROUP BY week, day ORDER BY day"
sql = (
f"SELECT strftime('%U',timestamp) as week, {weekday_sql} as wday, event, COUNT(0) as total "
f"FROM kevent WHERE event in ('PRESSED') GROUP BY week, event, wday ORDER BY week, event, wday"
)
return query(sql)
def get_totals():
sql = "SELECT count(0) as total, event from kevent group by event"
return query(sql)
# Main execution
if __name__ == "__main__":
time_start = time.time()
for week in get_weeks():
render_per_hour(week)
render_per_weekday(week)
print("Score per week:")
for record in get_score_per_week():
print(f"{record[0]} \t{record[1]} \t{record[2]}")
print("Score per day:")
for record in get_score_per_day():
print(f"{record[0]} \t{record[1]} \t{record[2]}")
print("Total events:")
totals = 0
for record in get_totals():
print(f"{record[1]}: {record[0]}")
totals += record[0]
print(totals)
result = {}
rows = query("SElECT strftime('%Y-%m-%d', timestamp) as day, GROUP_CONCAT(char,'') FROM kevent WHERE event = 'PRESSED' group by day")
for row in rows:
result[row[0]] = row[1]
with open("keylog.txt","w") as f:
for day in result.keys():
with open("logs_plain/"+day+".txt","w") as g:
g.write(f"**{day}**: ```{result[day]}```\n\n")
f.write(f"**{day}**: ```{result[day]}```\n\n")
for file in pathlib.Path(".").glob("logs_plain/*.txt"):
print("Working on: {}".format(file))
dest_file = file.parent.parent.joinpath("logs_summaries").joinpath(file.name)
print("Dest file: ", dest_file)
with dest_file.open("w+") as f:
print("Requesting...")
response = api.gpt4o("The following data is from my keylogger, make a summary of what i did: ```"+file.read_text().replace("@","").replace("`","")+"```")
print("Done")
f.write(response)
print(response)
print("Duration: {}".format(time.time() - time_start))

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review.md Normal file
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```markdown
# Summary of Project Reviews
This project consists of various C and Python files primarily focused on handling keyboard input, visualizing data, and managing SDL graphics rendering. Below are primary insights from the code reviews and breakdowns:
## Code Files
### C Files
- **keyc3.c**: Demonstrates handling input events using XIM and XIC for X11 applications. It performs resource cleanup but lacks keyboard layout validation and error handling.
- **keyc.c**: Handles key symbols and input using `XkbKeycodeToKeysym` but has casting issues with `XLookupString` leading to potential undefined behavior.
- **keyc2.c**: Converts keycodes to characters using X11 but doesn’t fully initialize event fields, and hardcodes values may limit functionality.
- **graph2.c**: Utilizes SDL for creating an animated graph. Manages resources well but assumes SDL setup. Code organization and scaling could be optimized.
- **graph.c**: A simple SDL bar graph application that could benefit from dynamic scaling and better error handling.
### Python Files
- **plot.py**: Analyzes keystrokes from an SQLite database and generates plots. Implements clear workflows but has security risks due to non-parameterized SQL queries.
- **zipit.py**: Compresses text files using base64 and zlib; effective but lacks error handling for file operations.
### Other Files
- **tikker.c**: Monitors keyboard events on Linux, logging to a database. Needs better error handling and could benefit from using other event handling utilities for optimizations.
## Common Issues Across Files
- **Error Handling**: Many files lack sufficient error handling, particularly in database operations and system calls.
- **Security**: Potential vulnerabilities in SQL handling due to non-parameterized queries.
- **Code Optimization**: Common opportunities include optimizing loops, using more efficient data structures, and improving modularization.
- **Platform Assumptions**: Assumptions in SDL and X11 setups can lead to undefined behaviors if not met.
## General Recommendations
- **Security**: Use parameterized queries to prevent SQL injection vulnerabilities.
- **Modularization**: Break down larger functions into smaller ones for better readability and maintenance.
- **Error Handling**: Implement robust error checks, especially for system calls and IO operations.
- **Performance**: Optimize event handling to use latest utilities and data structures where applicable.
## Grade: 6.5
This is the average rating based on individual file reviews, reflecting both strengths in resource management and areas needing improvement in error handling and security practices.
```