clean up predict pipeline 1

This commit is contained in:
Michael Weig 2026-03-04 16:21:06 +01:00
parent 8b6c547387
commit 6cc38291df
3 changed files with 50 additions and 28 deletions

View File

@ -1,11 +0,0 @@
# from tools import db_helpers
import sys
def main():
print(sys.version)
# db_helpers.add_columns_to_table()
if __name__ == "__main__":
main()

View File

@ -1,9 +0,0 @@
import sqlite3
def main():
return 0
if __name__ == "__main__":
main()

View File

@ -1,5 +1,13 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "fb68b447",
"metadata": {},
"source": [
"## Database creation and filling (for live system) "
]
},
{
"cell_type": "code",
"execution_count": null,
@ -21,8 +29,10 @@
"metadata": {},
"outputs": [],
"source": [
"database_path = Path(r\"/home/edgekit/MSY_FS/databases/rawdata.sqlite\")\n",
"parquet_path = Path(r\"/home/edgekit/MSY_FS/fahrsimulator_msy2526_ai/files_for_testing/both_mod_0000.parquet\")"
"# TODO: set paths and table name\n",
"database_path = Path(r\"database.sqlite\") # this path references an empty, but already created sqlite file\n",
"parquet_path = Path(r\"...parquet\") # this path leads to the data that should be used to fill the databse\n",
"table_name = \"XXX\" # name of the new table"
]
},
{
@ -56,6 +66,14 @@
"con, cursor = db_helpers.connect_db(database_path)"
]
},
{
"cell_type": "markdown",
"id": "7007c68f",
"metadata": {},
"source": [
"Select a subset to insert into database "
]
},
{
"cell_type": "code",
"execution_count": null,
@ -69,6 +87,14 @@
"df_first_100.insert(0, '_Id', df_first_100.index + 1)"
]
},
{
"cell_type": "markdown",
"id": "92171186",
"metadata": {},
"source": [
"Type conversion"
]
},
{
"cell_type": "code",
"execution_count": null,
@ -88,6 +114,14 @@
" return \"TEXT\"\n"
]
},
{
"cell_type": "markdown",
"id": "45af9956",
"metadata": {},
"source": [
"Define constraints and primary key"
]
},
{
"cell_type": "code",
"execution_count": null,
@ -109,6 +143,14 @@
"}\n"
]
},
{
"cell_type": "markdown",
"id": "133e92ee",
"metadata": {},
"source": [
"Create the table"
]
},
{
"cell_type": "code",
"execution_count": null,
@ -119,7 +161,7 @@
"sql = db_helpers.create_table(\n",
" conn=con,\n",
" cursor=cursor,\n",
" table_name=\"rawdata\",\n",
" table_name=table_name,\n",
" columns=columns,\n",
" constraints=constraints,\n",
" primary_key=primary_key,\n",
@ -150,7 +192,7 @@
"db_helpers.insert_rows_into_table(\n",
" conn=con,\n",
" cursor=cursor,\n",
" table_name=\"rawdata\",\n",
" table_name=table_name,\n",
" columns=columns_to_insert,\n",
" commit=True\n",
")\n"
@ -163,7 +205,7 @@
"metadata": {},
"outputs": [],
"source": [
"a = db_helpers.get_data_from_table(conn=con, table_name='rawdata',columns_list=['*'])"
"request = db_helpers.get_data_from_table(conn=con, table_name='rawdata',columns_list=['*'])"
]
},
{
@ -173,7 +215,7 @@
"metadata": {},
"outputs": [],
"source": [
"a.head()"
"request.head()"
]
},
{
@ -189,7 +231,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "MSY_FS_env",
"display_name": "310",
"language": "python",
"name": "python3"
},
@ -203,7 +245,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.12"
"version": "3.10.19"
}
},
"nbformat": 4,