Update.

Makefile

@@ -1,4 +1,4 @@
-all: tikker run
+all: plot process
 
 tikker: tikker.c sormc.h
 	gcc tikker.c -Ofast -Wall -Werror -Wextra -o tikker -lsqlite3
@@ -9,8 +9,8 @@ run:
 PYTHON="./.venv/bin/python"
 
 ensure_env:
-	-@python3 -m venv .venv
-	$(PYTHON) -m pip install dataset matplotlib
+	-@python3.12 -m venv .venv
+	$(PYTHON) -m pip install dataset matplotlib openai requests
 
 merge:
 	$(PYTHON) merge.py

plot.py

@@ -1,279 +1,470 @@
+#!/usr/bin/env python3
+"""
+Keyboard Analytics - A tool for analyzing keyboard usage patterns
+
+This script analyzes keyboard events stored in a SQLite database and generates
+visualizations and reports based on the data. It can track key presses across
+different time periods and create meaningful insights about typing patterns.
+"""
+
 import sqlite3
 import time
-import matplotlib.pyplot as plt
 import pathlib
+import json
+import logging
+import requests
+from typing import List, Dict, Tuple, Any, Set
+import matplotlib.pyplot as plt
 from xmlrpc.client import ServerProxy
 
-api = ServerProxy("https://api.molodetz.nl/rpc")
-
-connection = sqlite3.connect('tikker.db')
-
-
-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"
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
 )
+logger = logging.getLogger(__name__)
 
-def query(sql):
+# Initialize API connection
+API_ENDPOINT = "https://api.molodetz.nl/rpc"
+api = ServerProxy(API_ENDPOINT)
+
+# Database connection
+DB_PATH = 'tikker.db'
+connection = sqlite3.connect(DB_PATH)
+
+# Track processed items to avoid duplicate work
+processed_files: Set[str] = set()
+processed_weeks: Set[str] = set()
+
+# SQL helper for weekday names
+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: str) -> List[Tuple]:
+    """
+    Execute an SQL query and return the results.
+    
+    Args:
+        sql: SQL query to execute
+        
+    Returns:
+        List of result tuples
+    """
     start = time.time()
-
+    
     cursor = connection.cursor()
-    print(sql)
+    logger.debug(f"Executing SQL: {sql}")
     result = cursor.execute(sql).fetchall()
-
+    
     cursor.close()
     duration = time.time() - start
-
-    print("Duration: {}\n".format(duration))
+    
+    logger.info(f"Query completed in {duration:.4f} seconds")
     return result
 
-def render_per_hour(week):
-    week = f"{week}"
+def setup_plot_defaults() -> None:
+    """Configure default matplotlib settings for all plots"""
+    plt.style.use('dark_background')
+    plt.figure(figsize=(10, 7))
 
-    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"
-    )
+def save_figure(filename: str) -> None:
+    """Save the current matplotlib figure to a file"""
+    plt.tight_layout()
+    plt.savefig(filename)
+    plt.close()
+    logger.info(f"Figure saved: {filename}")
+
+def render_per_hour(week: str) -> None:
+    """
+    Generate visualization of key presses per hour for a specific week
+    
+    Args:
+        week: Week number to analyze
+    """
+    # Skip if already processed
+    if week in processed_weeks:
+        logger.info(f"Week {week} already processed for hourly analysis, skipping")
+        return
+        
+    processed_weeks.add(week)
+    
+    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
+    """
     
-    #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))
-
+    
+    if not rows_presses:
+        logger.warning(f"No data found for week {week}")
+        return
+        
     totals = [row[0] for row in rows_presses]
     hours = [row[1] for row in rows_presses]
-
-    #totals_repeated = [row[0] for row in rows_repeated]
-    #hours_repeated = [row[1] for row in rows_repeated]
-
-    #totals_released = [row[0] for row in rows_released]
-    #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')
-
+    
+    setup_plot_defaults()
+    plt.plot(hours, totals, marker='o', label=f'Presses per hour', color='red')
+    
     plt.xlabel('Hour')
     plt.ylabel('Event count')
-    plt.title(f'Key presses per hour. Week {week}')
-    plt.style.use('dark_background')
+    plt.title(f'Key presses per hour - Week {week}')
     plt.legend()
+    
+    save_figure(f"graph_week_{week.strip('\'')}_per_hour.png")
 
-    plt.savefig(f"graph_week_{week.strip('\'')}_per_hour.png")
-
-def render_per_day():
-    sql_pressed_per_day = (
-        "SELECT strftime('%Y-%m-%d', timestamp) as month_day,count(0) as total FROM kevent WHERE event = 'PRESSED' GROUP BY month_day ORDER BY month_day"
-    )
-    plt.figure(figsize=(8,6))
-
+def render_per_day() -> None:
+    """Generate visualization of key presses per day"""
+    sql_pressed_per_day = """
+        SELECT strftime('%Y-%m-%d', timestamp) as month_day, 
+        count(0) as total 
+        FROM kevent 
+        WHERE event = 'PRESSED' 
+        GROUP BY month_day 
+        ORDER BY month_day
+    """
+    
     rows_pressed_per_day = query(sql_pressed_per_day)
-
-    totals = [row[0] for row in rows_pressed_per_day]
-    dates = [row[1] for row in rows_pressed_per_day]
-
-    plt.plot(totals, dates, marker='o', label='Presses per day', color='red')
-
+    
+    if not rows_pressed_per_day:
+        logger.warning("No data found for daily analysis")
+        return
+        
+    dates = [row[0] for row in rows_pressed_per_day]
+    totals = [row[1] for row in rows_pressed_per_day]
+    
+    setup_plot_defaults()
+    plt.plot(dates, totals, marker='o', label='Presses per day', color='red')
+    
     plt.xlabel('Date')
     plt.ylabel('Event count')
-    plt.xticks(rotation=45) 
-    plt.style.use('dark_background')
-    plt.title('Keyboard events')
-    plt.tight_layout() 
+    plt.xticks(rotation=45)
+    plt.title('Keyboard events by day')
     plt.legend()
-    plt.savefig(f"graph_per_day.png")
-
-def render_per_week():
-    sql_pressed_per_day = (
-        f"SELECT strftime('%Y-%U', timestamp) as week,count(0) as total FROM kevent WHERE event = 'PRESSED' GROUP BY week ORDER BY week"
-    )
-    plt.figure(figsize=(8,6))
-
-    rows_pressed_per_day = query(sql_pressed_per_day)
-
-    totals = [row[0] for row in rows_pressed_per_day]
-    dates = [row[1] for row in rows_pressed_per_day]
-
-    plt.plot(totals, dates, marker='o', label='Presses per day', color='red')
+    
+    save_figure("graph_per_day.png")
 
+def render_per_week() -> None:
+    """Generate visualization of key presses per week"""
+    sql_pressed_per_week = """
+        SELECT strftime('%Y-%U', timestamp) as week, 
+        count(0) as total 
+        FROM kevent 
+        WHERE event = 'PRESSED' 
+        GROUP BY week 
+        ORDER BY week
+    """
+    
+    rows_pressed_per_week = query(sql_pressed_per_week)
+    
+    if not rows_pressed_per_week:
+        logger.warning("No data found for weekly analysis")
+        return
+        
+    weeks = [row[0] for row in rows_pressed_per_week]
+    totals = [row[1] for row in rows_pressed_per_week]
+    
+    setup_plot_defaults()
+    plt.plot(weeks, totals, marker='o', label='Presses per week', color='red')
+    
     plt.xlabel('Week')
     plt.ylabel('Presses count')
-    plt.xticks(rotation=45) 
-    plt.title(f'Presses per week')
-    plt.tight_layout() 
-    plt.style.use('dark_background')
+    plt.xticks(rotation=45)
+    plt.title('Presses per week')
     plt.legend()
+    
+    save_figure("graph_per_week.png")
 
-    plt.savefig(f"graph_per_week.png")
-
-
-
-
-def render_per_weekday(week):
-
-    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))
-
+def render_per_weekday(week: str) -> None:
+    """
+    Generate visualization of key presses per weekday for a specific week
+    
+    Args:
+        week: Week number to analyze
+    """
+    # Skip if already processed
+    if week in processed_weeks:
+        logger.info(f"Week {week} already processed for weekday analysis, skipping")
+        return
+        
+    processed_weeks.add(week)
+    
+    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
+    """
+    
+    rows_presses = query(sql_presses)
+    
+    if not rows_presses:
+        logger.warning(f"No data found for week {week} weekday analysis")
+        return
+        
     totals = [row[0] for row in rows_presses]
     days = [row[2] for row in rows_presses]
-
-    #totals_repeated = [row[0] for row in rows_repeated]
-    #days_repeated = [row[2] for row in rows_repeated]
-
-    #totals_released = [row[0] 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'Press count', color='red')
-
-    plt.xlabel('Weekday (0 = Sunday, 6 = Saturday)')
+    weekday_names = [row[1] for row in rows_presses]
+    
+    setup_plot_defaults()
+    plt.plot(days, totals, marker='o', label='Press count', color='red')
+    
+    plt.xlabel('Weekday')
     plt.ylabel('Event count')
-    plt.title(f'Presses per weekday. Week {week}')
-    plt.style.use('dark_background')
+    plt.title(f'Presses per weekday - Week {week}')
+    plt.xticks(range(len(weekday_names)), weekday_names, rotation=45)
     plt.legend()
+    
+    save_figure(f"graph_week_{week.strip('\"')}_per_weekday.png")
 
-    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"
+def get_weeks() -> List[str]:
+    """
+    Get list of all weeks in the database
+    
+    Returns:
+        List of week numbers
+    """
+    sql = "SELECT DISTINCT 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():
+def get_score_per_week() -> List[Tuple]:
+    """
+    Get event counts grouped by week
     
-    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' 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"
-    )
+    Returns:
+        List of (week, event_type, count) tuples
+    """
+    sql = """
+        SELECT strftime('%U', timestamp) as week, event, COUNT(0) as total
+        FROM kevent 
+        GROUP BY event, week
+    """
     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()
-
-    render_per_day()
-    render_per_week()
-    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]}")
+def get_score_per_day() -> List[Tuple]:
+    """
+    Get event counts grouped by day of week
     
-    print("Total events:")
-    totals = 0
-    for record in get_totals():
-        print(f"{record[1]}: {record[0]}")
-        totals += record[0]
-    print(totals)
+    Returns:
+        List of (week, weekday, event_type, count) tuples
+    """
+    sql = f"""
+        SELECT strftime('%U', timestamp) as week, 
+        {WEEKDAY_SQL} as wday, 
+        event, COUNT(0) as total
+        FROM kevent 
+        WHERE event in ('PRESSED') 
+        GROUP BY week, event, wday
+        ORDER BY week, event, wday
+    """
+    return query(sql)
 
+def get_totals() -> List[Tuple]:
+    """
+    Get total count of each event type
+    
+    Returns:
+        List of (count, event_type) tuples
+    """
+    sql = "SELECT count(0) as total, event FROM kevent GROUP BY event"
+    return query(sql)
+
+def generate_keylog() -> Dict[str, str]:
+    """
+    Generate a log of key presses grouped by date and hour
+    
+    Returns:
+        Dictionary of date-hour to concatenated key presses
+    """
     result = {}
-    rows = query("SElECT strftime('%Y-%m-%d.%H', timestamp) as date_hour, GROUP_CONCAT(char,'') FROM kevent WHERE event = 'PRESSED' group by date_hour")
+    rows = query("""
+        SELECT strftime('%Y-%m-%d.%H', timestamp) as date_hour, 
+        GROUP_CONCAT(char,'') 
+        FROM kevent 
+        WHERE event = 'PRESSED' 
+        GROUP BY date_hour
+    """)
+    
     for row in rows:
         result[row[0]] = row[1]
     
-    with open("keylog.txt","w") as f:
-        for day in result.keys():
-            date, hour = day.split(".") 
+    return result
+
+def write_keylog_files(keylog: Dict[str, str]) -> None:
+    """
+    Write keylog data to files
+    
+    Args:
+        keylog: Dictionary of date-hour to concatenated key presses
+    """
+    logs_dir = pathlib.Path("logs_plain")
+    logs_dir.mkdir(exist_ok=True)
+    
+    with open("keylog.txt", "w") as f:
+        for day in keylog.keys():
+            date, hour = day.split(".")
             label = f"{date} {hour}:00"
-            if not pathlib.Path("logs_plain/"+day+".txt").exists():
-                with open("logs_plain/"+day+".txt","w") as g:
-
-
-                    g.write(f"**{label}**: ```{result[day]}```\n\n")
-            f.write(f"**{label}**: ```{result[day]}```\n\n")
-
-    print("Duration: {}".format(time.time() - time_start))
-    exit()
-    import json
-    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)
-        if dest_file.exists():
-            continue
-        with dest_file.open("w+") as f:
-            print("Requesting...")
-            param = file.read_text().replace("@","").replace("`","")
-            response = api.gpt4o_mini("The following data is key presses made by user. Describe what user could be working on using bulletpoints: "+param)
-            print("Done")
-            f.write(response)
-            print(response)
-    for file in pathlib.Path(".").glob("logs_summaries/*.txt"):
-        dest_file = file.parent.parent.joinpath("logs_lines").joinpath(file.name)
-        if dest_file.exists():
-            print("One liner already exists for" + file.name)
-            continue
-        with dest_file.open("w+") as f:
-            source = file.read_text().replace("@","").replace("`","")
-            response = api.gpt4o_mini("The following data is a hour of work summarized from the user. Describe what user was doing in a onliner.: "+source)
-            f.write(response)
-            print("Made one liner for" + file.name)
             
-    print("Duration: {}".format(time.time() - time_start))
+            log_file = logs_dir / f"{day}.txt"
+            if not log_file.exists():
+                with open(log_file, "w") as g:
+                    g.write(f"**{label}**: ```{keylog[day]}```\n\n")
+            
+            f.write(f"**{label}**: ```{keylog[day]}```\n\n")
+
+def ipa(prompt):
+    import requests 
+    result = requests.post("https://retoor:retoorded@ipa.molodetz.nl/ai/prompt",json={"prompt": prompt, "model": "google/gemma-3-12b-it","json":False}).text 
+    print(result)
+    return result 
+
+def generate_summaries(dry_run: bool=False) -> None:
+    """Generate summaries for keylog files using AI API"""
+    logs_dir = pathlib.Path("logs_plain")
+    summary_dir = pathlib.Path("logs_summaries")
+    oneliner_dir = pathlib.Path("logs_lines")
+    
+    summary_dir.mkdir(exist_ok=True)
+    oneliner_dir.mkdir(exist_ok=True)
+    
+    # Process summaries
+    for file in logs_dir.glob("*.txt"):
+        # Skip if already processed
+        if str(file) in processed_files:
+            logger.info(f"File {file} already processed for summary, skipping")
+            continue
+            
+        processed_files.add(str(file))
+        
+        dest_file = summary_dir / file.name
+        if dest_file.exists():
+            logger.info(f"Summary already exists for {file.name}, skipping")
+            continue
+            
+        try:
+            logger.info(f"Generating summary for {file.name}")
+            if dry_run:
+                continue
+            param = file.read_text().replace("@", "").replace("`", "")
+            prompt = "The following data is key presses made by user. Describe what user could be working on using bulletpoints: " + param
+            response = ipa(prompt)
+            
+            with dest_file.open("w+") as f:
+                f.write(response)
+                
+            logger.info(f"Summary generated for {file.name}")
+        except Exception as e:
+            logger.error(f"Error generating summary for {file.name}: {e}")
+    
+    # Process one-liners
+    for file in summary_dir.glob("*.txt"):
+        # Skip if already processed
+        if str(file) in processed_files:
+            logger.info(f"File {file} already processed for one-liner, skipping")
+            continue
+            
+        processed_files.add(str(file))
+        
+        dest_file = oneliner_dir / file.name
+        if dest_file.exists():
+            logger.info(f"One-liner already exists for {file.name}, skipping")
+            continue
+            
+        try:
+            logger.info(f"Generating one-liner for {file.name}")
+            if dry_run:
+                continue 
+            source = file.read_text().replace("@", "").replace("`", "")
+            prompt = "The following data is a hour of work summarized from the user. Describe what user was doing in a oneliner: " + source
+            response = ipa(prompt)
+            
+            with dest_file.open("w+") as f:
+                f.write(response)
+                
+            logger.info(f"One-liner generated for {file.name}")
+        except Exception as e:
+            logger.error(f"Error generating one-liner for {file.name}: {e}")
+
+def main() -> None:
+    
+    # Generate summaries
+    generate_summaries(False)
+    """Main function to execute all analytics tasks"""
+    time_start = time.time()
+    logger.info("Starting keyboard analytics process")
+    
+    # Load state if exists
+    state_file = pathlib.Path("analytics_state.json")
+    if state_file.exists():
+        try:
+            state = json.loads(state_file.read_text())
+            processed_files.update(state.get("processed_files", []))
+            processed_weeks.update(state.get("processed_weeks", []))
+            logger.info(f"Loaded state: {len(processed_files)} files and {len(processed_weeks)} weeks processed previously")
+        except Exception as e:
+            logger.error(f"Error loading state: {e}")
+    
+    # Generate visualizations
+    render_per_day()
+    render_per_week()
+    
+    weeks = get_weeks()
+    for week in weeks:
+        render_per_hour(week)
+        render_per_weekday(week)
+    
+    # Print statistics
+    logger.info("Score per week:")
+    for record in get_score_per_week():
+        logger.info(f"{record[0]}\t{record[1]}\t{record[2]}")
+    
+    logger.info("Score per day:")
+    for record in get_score_per_day():
+        logger.info(f"{record[0]}\t{record[1]}\t{record[2]}\t{record[3]}")
+    
+    logger.info("Total events:")
+    totals = 0
+    for record in get_totals():
+        logger.info(f"{record[1]}: {record[0]}")
+        totals += record[0]
+    logger.info(f"Total: {totals}")
+    
+    # Generate and write keylog
+    keylog = generate_keylog()
+    write_keylog_files(keylog)
+    
+    # Generate summaries
+    generate_summaries()
+    
+    # Save state
+    try:
+        state = {
+            "processed_files": list(processed_files),
+            "processed_weeks": list(processed_weeks),
+            "last_run": time.time()
+        }
+        state_file.write_text(json.dumps(state))
+        logger.info("State saved successfully")
+    except Exception as e:
+        logger.error(f"Error saving state: {e}")
+    
+    duration = time.time() - time_start
+    logger.info(f"Process completed in {duration:.2f} seconds")
+
+if __name__ == "__main__":
+    main()

requirements.txt

@@ -1,2 +1,3 @@
 matplotlib
-
+openai
+requests