clean up predict pipeline 1
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8b6c547387
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@ -1,11 +0,0 @@
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# from tools import db_helpers
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import sys
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def main():
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print(sys.version)
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# db_helpers.add_columns_to_table()
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if __name__ == "__main__":
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main()
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@ -1,9 +0,0 @@
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import sqlite3
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def main():
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return 0
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if __name__ == "__main__":
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main()
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@ -1,5 +1,13 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "fb68b447",
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"metadata": {},
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"source": [
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"## Database creation and filling (for live system) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -21,8 +29,10 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"database_path = Path(r\"/home/edgekit/MSY_FS/databases/rawdata.sqlite\")\n",
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"parquet_path = Path(r\"/home/edgekit/MSY_FS/fahrsimulator_msy2526_ai/files_for_testing/both_mod_0000.parquet\")"
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"# TODO: set paths and table name\n",
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"database_path = Path(r\"database.sqlite\") # this path references an empty, but already created sqlite file\n",
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"parquet_path = Path(r\"...parquet\") # this path leads to the data that should be used to fill the databse\n",
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"table_name = \"XXX\" # name of the new table"
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]
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},
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{
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@ -56,6 +66,14 @@
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"con, cursor = db_helpers.connect_db(database_path)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7007c68f",
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"metadata": {},
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"source": [
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"Select a subset to insert into database "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -69,6 +87,14 @@
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"df_first_100.insert(0, '_Id', df_first_100.index + 1)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "92171186",
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"metadata": {},
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"source": [
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"Type conversion"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -88,6 +114,14 @@
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" return \"TEXT\"\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "45af9956",
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"metadata": {},
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"source": [
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"Define constraints and primary key"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -109,6 +143,14 @@
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"}\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "133e92ee",
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"metadata": {},
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"source": [
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"Create the table"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -119,7 +161,7 @@
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"sql = db_helpers.create_table(\n",
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" conn=con,\n",
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" cursor=cursor,\n",
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" table_name=\"rawdata\",\n",
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" table_name=table_name,\n",
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" columns=columns,\n",
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" constraints=constraints,\n",
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" primary_key=primary_key,\n",
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@ -150,7 +192,7 @@
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"db_helpers.insert_rows_into_table(\n",
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" conn=con,\n",
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" cursor=cursor,\n",
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" table_name=\"rawdata\",\n",
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" table_name=table_name,\n",
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" columns=columns_to_insert,\n",
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" commit=True\n",
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")\n"
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@ -163,7 +205,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"a = db_helpers.get_data_from_table(conn=con, table_name='rawdata',columns_list=['*'])"
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"request = db_helpers.get_data_from_table(conn=con, table_name='rawdata',columns_list=['*'])"
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]
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},
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{
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@ -173,7 +215,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"a.head()"
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"request.head()"
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]
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},
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{
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@ -189,7 +231,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "MSY_FS_env",
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"display_name": "310",
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"language": "python",
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"name": "python3"
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},
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@ -203,7 +245,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.12"
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"version": "3.10.19"
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}
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},
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"nbformat": 4,
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