chore: update SQL tools

SQL/Formula1_Data_Analysis_Views.sqlite3-query

@@ -1,120 +0,0 @@
--- 1. Driver Performance Summary with Weather
-CREATE VIEW DriverPerformanceSummaryWithWeather AS
-SELECT 
-    l.driver_name,
-    e.event_name,
-    s.session_type,
-    t.track_name,
-    COUNT(l.lap_id) AS total_laps,
-    AVG(l.lap_time_in_seconds) AS avg_lap_time,
-    MIN(l.lap_time_in_seconds) AS best_lap_time,
-    AVG(l.sector_1_time_in_seconds) AS avg_sector1_time,
-    AVG(l.sector_2_time_in_seconds) AS avg_sector2_time,
-    AVG(l.sector_3_time_in_seconds) AS avg_sector3_time,
-    AVG(l.finish_line_speed_trap_in_km) AS avg_finish_line_speed,
-    COUNT(CASE WHEN l.is_personal_best THEN 1 END) AS personal_best_laps,
-    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
-    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
-    SUM(CASE WHEN w.is_raining THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS rain_percentage
-FROM Laps l
-JOIN Sessions s ON l.session_id = s.session_id
-JOIN Tracks t ON s.track_id = t.track_id
-JOIN Event e ON s.event_id = e.event_id
-LEFT JOIN Weather w ON s.session_id = w.session_id 
-    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+5 minutes')
-GROUP BY l.driver_name, e.event_id, s.session_id;
-
--- 2. Tyre Performance Analysis with Weather
-CREATE VIEW TyrePerformanceAnalysisWithWeather AS
-SELECT 
-    l.driver_name,
-    e.event_name,
-    s.session_type,
-    t.track_name,
-    l.tyre_compound,
-    AVG(l.tyre_life_in_laps) AS avg_tyre_life,
-    AVG(l.lap_time_in_seconds) AS avg_lap_time,
-    AVG(l.longest_strait_speed_trap_in_km) AS avg_top_speed,
-    COUNT(CASE WHEN l.is_fresh_tyre THEN 1 END) AS fresh_tyre_laps,
-    COUNT(CASE WHEN NOT l.is_fresh_tyre THEN 1 END) AS used_tyre_laps,
-    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
-    AVG(w.air_temperature_in_celsius) AS avg_air_temp
-FROM Laps l
-JOIN Sessions s ON l.session_id = s.session_id
-JOIN Tracks t ON s.track_id = t.track_id
-JOIN Event e ON s.event_id = e.event_id
-LEFT JOIN Weather w ON s.session_id = w.session_id 
-    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+5 minutes')
-GROUP BY l.driver_name, e.event_id, s.session_id, l.tyre_compound;
-
--- 3. Weather Impact Analysis
-CREATE VIEW WeatherImpactAnalysis AS
-SELECT 
-    e.event_name,
-    s.session_type,
-    t.track_name,
-    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
-    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
-    AVG(w.relative_air_humidity_in_percentage) AS avg_humidity,
-    AVG(w.wind_speed_in_meters_per_seconds) AS avg_wind_speed,
-    SUM(CASE WHEN w.is_raining THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS rain_percentage,
-    AVG(l.lap_time_in_seconds) AS avg_lap_time,
-    MIN(l.lap_time_in_seconds) AS best_lap_time
-FROM Weather w
-JOIN Sessions s ON w.session_id = s.session_id
-JOIN Tracks t ON s.track_id = t.track_id
-JOIN Event e ON s.event_id = e.event_id
-JOIN Laps l ON s.session_id = l.session_id
-    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+5 minutes')
-GROUP BY e.event_id, s.session_id;
-
--- 4. Event Performance Overview
-CREATE VIEW EventPerformanceOverview AS
-SELECT 
-    e.event_name,
-    e.country,
-    e.location,
-    s.session_type,
-    COUNT(DISTINCT l.driver_name) AS driver_count,
-    AVG(l.lap_time_in_seconds) AS avg_lap_time,
-    MIN(l.lap_time_in_seconds) AS best_lap_time,
-    MAX(l.finish_line_speed_trap_in_km) AS max_finish_line_speed,
-    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
-    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
-    SUM(CASE WHEN w.is_raining THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS rain_percentage
-FROM Event e
-JOIN Sessions s ON e.event_id = s.event_id
-JOIN Laps l ON s.session_id = l.session_id
-LEFT JOIN Weather w ON s.session_id = w.session_id 
-    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+5 minutes')
-GROUP BY e.event_id, s.session_id;
-
--- 5. Telemetry Analysis with Weather
-CREATE VIEW TelemetryAnalysisWithWeather AS
-SELECT 
-    l.lap_id,
-    l.driver_name,
-    e.event_name,
-    s.session_type,
-    t.track_name,
-    l.lap_number,
-    l.lap_time_in_seconds,
-    AVG(tel.speed_in_km) AS avg_speed,
-    MAX(tel.speed_in_km) AS max_speed,
-    AVG(tel.RPM) AS avg_RPM,
-    MAX(tel.RPM) AS max_RPM,
-    AVG(tel.throttle_input) AS avg_throttle,
-    SUM(CASE WHEN tel.is_brake_pressed THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS brake_percentage,
-    SUM(CASE WHEN tel.is_DRS_open THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS drs_usage_percentage,
-    SUM(CASE WHEN tel.is_off_track THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS off_track_percentage,
-    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
-    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
-    AVG(w.wind_speed_in_meters_per_seconds) AS avg_wind_speed
-FROM Laps l
-JOIN Sessions s ON l.session_id = s.session_id
-JOIN Tracks t ON s.track_id = t.track_id
-JOIN Event e ON s.event_id = e.event_id
-JOIN Telemetry tel ON l.lap_id = tel.lap_id
-LEFT JOIN Weather w ON s.session_id = w.session_id 
-    AND tel.datetime BETWEEN w.datetime AND datetime(w.datetime, '+5 minutes')
-GROUP BY l.lap_id;

SQL/schema.sqlite3-query

@@ -1,105 +0,0 @@
-CREATE TABLE Drivers (
-    driver_id INTEGER PRIMARY KEY,
-    driver_name TEXT NOT NULL,
-    team TEXT NOT NULL
-);
-
-CREATE TABLE Tracks (
-    track_id INTEGER PRIMARY KEY,
-    track_name TEXT NOT NULL,
-    country TEXT NOT NULL
-);
-
-CREATE TABLE Event (
-    event_id INTEGER PRIMARY KEY,
-    round_number INTEGER,
-    country TEXT,
-    location TEXT,
-    event_date DATE,
-    event_name TEXT,
-    session_1_date_utc DATETIME,
-    session_1_name TEXT CHECK(session_1_name IN ('practice', 'qualify', 'race')),
-    session_2_date_utc DATETIME,
-    session_2_name TEXT CHECK(session_2_name IN ('practice', 'qualify', 'race')),
-    session_3_date_utc DATETIME,
-    session_3_name TEXT CHECK(session_3_name IN ('practice', 'qualify', 'race')),
-    session_4_date_utc DATETIME,
-    session_4_name TEXT CHECK(session_4_name IN ('practice', 'qualify', 'race')),
-    session_5_date_utc DATETIME,
-    session_5_name TEXT CHECK(session_5_name IN ('practice', 'qualify', 'race'))
-);
-
-CREATE TABLE Sessions (
-    session_id INTEGER PRIMARY KEY,
-    event_id INTEGER,
-    track_id INTEGER,
-    session_type TEXT NOT NULL,
-    date TEXT NOT NULL,
-    FOREIGN KEY (event_id) REFERENCES Event(event_id),
-    FOREIGN KEY (track_id) REFERENCES Tracks(track_id)
-);
-
-CREATE TABLE Weather (
-    weather_id INTEGER PRIMARY KEY,
-    session_id INTEGER,
-    datetime DATETIME,
-    air_temperature_in_celsius REAL,
-    relative_air_humidity_in_percentage REAL,
-    air_pressure_in_mbar REAL,
-    is_raining BOOLEAN,
-    track_temperature_in_celsius REAL,
-    wind_direction_in_grads REAL,
-    wind_speed_in_meters_per_seconds REAL,
-    FOREIGN KEY (session_id) REFERENCES Sessions(session_id)
-);
-
-CREATE TABLE Laps (
-    lap_id INTEGER PRIMARY KEY,
-    session_id INTEGER,
-    driver_name TEXT NOT NULL,
-    lap_number INTEGER NOT NULL,
-    stint INTEGER,
-    sector_1_speed_trap_in_km REAL,
-    sector_2_speed_trap_in_km REAL,
-    finish_line_speed_trap_in_km REAL,
-    longest_strait_speed_trap_in_km REAL,
-    is_personal_best BOOLEAN,
-    tyre_compound TEXT,
-    tyre_life_in_laps INTEGER,
-    is_fresh_tyre BOOLEAN,
-    position INTEGER,
-    lap_time_in_seconds REAL,
-    sector_1_time_in_seconds REAL,
-    sector_2_time_in_seconds REAL,
-    sector_3_time_in_seconds REAL,
-    lap_start_time_in_datetime DATETIME,
-    pin_in_time_in_datetime DATETIME,
-    pin_out_time_in_datetime DATETIME,
-    FOREIGN KEY (session_id) REFERENCES Sessions(session_id),
-    UNIQUE (session_id, driver_name, lap_number)
-);
-
-CREATE TABLE Telemetry (
-    telemetry_id INTEGER PRIMARY KEY,
-    lap_id INTEGER,
-    speed_in_km REAL,
-    RPM INTEGER,
-    gear_number INTEGER,
-    throttle_input REAL CHECK (throttle_input BETWEEN 0 AND 100),
-    is_brake_pressed BOOLEAN,
-    is_DRS_open BOOLEAN,
-    x_position REAL,
-    y_position REAL,
-    z_position REAL,
-    is_off_track BOOLEAN,
-    datetime DATETIME,
-    FOREIGN KEY (lap_id) REFERENCES Laps(lap_id)
-);
-
-CREATE INDEX idx_laps_driver_name ON Laps(driver_name);
-CREATE INDEX idx_laps_session_id ON Laps(session_id);
-CREATE INDEX idx_telemetry_lap_id ON Telemetry(lap_id);
-CREATE INDEX idx_telemetry_datetime ON Telemetry(datetime);
-CREATE INDEX idx_weather_session_id ON Weather(session_id);
-CREATE INDEX idx_weather_datetime ON Weather(datetime);
-CREATE INDEX idx_event_date ON Event(event_date);

tools/sql/driver_performance.query.sql

@@ -0,0 +1,23 @@
+SELECT 
+    l.driver_name,
+    e.event_name,
+    s.session_type,
+    t.track_name,
+    COUNT(l.lap_id) AS total_laps,
+    AVG(l.lap_time_in_seconds) AS avg_lap_time,
+    MIN(l.lap_time_in_seconds) AS best_lap_time,
+    AVG(l.sector_1_time_in_seconds) AS avg_sector1_time,
+    AVG(l.sector_2_time_in_seconds) AS avg_sector2_time,
+    AVG(l.sector_3_time_in_seconds) AS avg_sector3_time,
+    AVG(l.finish_line_speed_trap_in_km) AS avg_finish_line_speed,
+    COUNT(CASE WHEN l.is_personal_best THEN 1 END) AS personal_best_laps,
+    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
+    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
+    SUM(CASE WHEN w.is_raining THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS rain_percentage
+FROM Laps l
+JOIN Sessions s ON l.session_id = s.session_id
+JOIN Tracks t ON s.track_id = t.track_id
+JOIN Event e ON s.event_id = e.event_id
+LEFT JOIN Weather w ON s.session_id = w.session_id 
+    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+1 minutes')
+GROUP BY l.driver_name, e.event_id, s.session_id;

tools/sql/event_performance.query.sql

@@ -0,0 +1,18 @@
+SELECT 
+    e.event_name,
+    e.country,
+    e.location,
+    s.session_type,
+    COUNT(DISTINCT l.driver_name) AS driver_count,
+    AVG(l.lap_time_in_seconds) AS avg_lap_time,
+    MIN(l.lap_time_in_seconds) AS best_lap_time,
+    MAX(l.finish_line_speed_trap_in_km) AS max_finish_line_speed,
+    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
+    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
+    SUM(CASE WHEN w.is_raining THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS rain_percentage
+FROM Event e
+JOIN Sessions s ON e.event_id = s.event_id
+JOIN Laps l ON s.session_id = l.session_id
+LEFT JOIN Weather w ON s.session_id = w.session_id 
+    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+1 minutes')
+GROUP BY e.event_id, s.session_id;

tools/sql/tyre_performance.query.sql

@@ -0,0 +1,16 @@
+SELECT 
+    l.driver_name,
+    l.lap_number,
+    l.tyre_compound,
+    AVG(l.tyre_life_in_laps) AS avg_tyre_life,
+    AVG(l.lap_time_in_seconds) AS avg_lap_time,
+    AVG(l.longest_strait_speed_trap_in_km) AS avg_top_speed,
+    COUNT(CASE WHEN l.is_fresh_tyre THEN 1 END) AS fresh_tyre_laps,
+    COUNT(CASE WHEN NOT l.is_fresh_tyre THEN 1 END) AS used_tyre_laps,
+    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
+    AVG(w.air_temperature_in_celsius) AS avg_air_temp
+FROM Laps l
+INNER JOIN Weather w ON l.session_id = w.session_id 
+    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+5 minutes')
+WHERE l.driver_name = :driver_name
+GROUP BY l.driver_name, l.lap_number, l.tyre_compound;

tools/sql/weather_impact.query.sql

@@ -0,0 +1,18 @@
+SELECT 
+    e.event_name,
+    s.session_type,
+    t.track_name,
+    AVG(w.air_temperature_in_celsius) AS avg_air_temp,
+    AVG(w.track_temperature_in_celsius) AS avg_track_temp,
+    AVG(w.relative_air_humidity_in_percentage) AS avg_humidity,
+    AVG(w.wind_speed_in_meters_per_seconds) AS avg_wind_speed,
+    SUM(CASE WHEN w.is_raining THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS rain_percentage,
+    AVG(l.lap_time_in_seconds) AS avg_lap_time,
+    MIN(l.lap_time_in_seconds) AS best_lap_time
+FROM Weather w
+JOIN Sessions s ON w.session_id = s.session_id
+JOIN Tracks t ON s.track_id = t.track_id
+JOIN Event e ON s.event_id = e.event_id
+JOIN Laps l ON s.session_id = l.session_id
+    AND l.lap_start_time_in_datetime BETWEEN w.datetime AND datetime(w.datetime, '+1 minutes')
+GROUP BY e.event_id, s.session_id;