77 lines
3.1 KiB
Python
Raw Normal View History

# file to create a database via python script
import sqlite3
class PlantDataBase:
"""
Class to create Makeathon database
"""
def __init__(self):
self.db_file = 'backend_database.db'
self.conn = None
try:
self.conn = sqlite3.connect(self.db_file, check_same_thread=False)
print(sqlite3.version)
except sqlite3.Error as e:
print(e)
self.cur = self.conn.cursor()
def create_table(self):
table_config = "CREATE TABLE IF NOT EXISTS plants " \
"(plant_ID INTEGER PRIMARY KEY AUTOINCREMENT," \
2023-04-20 03:21:08 +02:00
" gps TEXT)"
self.cur.execute(table_config)
table_config = "CREATE TABLE IF NOT EXISTS measurement_values " \
"(measurement_id INTEGER PRIMARY KEY AUTOINCREMENT," \
"Timestamp DATETIME DEFAULT CURRENT_TIMESTAMP," \
"plant_ID INTEGER, " \
"sensordata_temp REAL," \
"sensordata_humidity REAL," \
2023-04-20 03:21:08 +02:00
"sensordata_soil_moisture REAL," \
"pest_infestation INTEGER," \
"light_intensity REAL," \
"FOREIGN KEY (plant_ID)" \
" REFERENCES plants (plant_ID) )"
self.cur.execute(table_config)
def insert_plant(self, gps: str, plant_type: str):
self.cur.execute(f"INSERT INTO plants (gps, plant_type) VALUES ({gps}, {plant_type})")
self.conn.commit()
def insert_measurement_data(self, plant_id,
sensordata_temp,
sensordata_humidity,
sensordata_soil_moisture,
pest_infestation,
light_intensity):
self.cur.execute(f"INSERT INTO measurement_values (plant_ID, sensordata_temp, sensordata_humidity,"
2023-04-20 03:21:08 +02:00
f" sensordata_soil_moisture, pest_infestation, light_intensity) VALUES "
f"({plant_id}, {sensordata_temp}, {sensordata_humidity}, {sensordata_soil_moisture}, {pest_infestation}"
f", {light_intensity})")
self.conn.commit()
def get_latest_data(self, plant_id) -> dict:
"""
Gets the newest parameter of specific plant and returns all parameters in json format
:param plant_id:
:return:
"""
self.cur.execute(f"SELECT * FROM measurement_values where plant_ID = {plant_id} ORDER BY Timestamp DESC LIMIT 1")
data = self.cur.fetchone()
json_file = {
"measurement_id": data[0],
"plant_id": data[2],
"timestamp": data[1],
"sensordata_temp": data[3],
"sensordata_humidity": data[4],
2023-04-20 03:21:08 +02:00
"sensordata_soil_moisture": data[5],
"pest_infestation": data[6],
"light_intensity": data[7]
}
return json_file
def delete_data(self, table_name):
self.cur.execute(f"DELETE FROM {table_name}")
self.conn.commit()