{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "6f6fbc7e-4fb9-4353-b2ee-9ea819a3c896", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/smgr/.pyenv/versions/co4/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } ], "source": [ "import vegetables" ] }, { "cell_type": "code", "execution_count": 2, "id": "88fd0ea8-9c94-4569-a51b-823a04f32f55", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'age': 5}" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tomato = vegetables.Tomato('t1', 5)\n", "\n", "# test a register collation action\n", "tomato.collate('ripe')" ] }, { "cell_type": "code", "execution_count": 3, "id": "348926d9-7137-4eff-a919-508788553dd2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['9ca6772e-6621-4511-a4a6-ad451a1da91f',\n", " '2a91b423-4e08-491c-b1d2-5ec25259191e',\n", " '4a9edb2b-4ac5-467e-82ef-b254829ac2a2']" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vegetables.vegetable_mapper.collect(tomato, ['ripe'])" ] }, { "cell_type": "code", "execution_count": 4, "id": "4e5e7319-11bf-4051-951b-08c84e9f3874", "metadata": {}, "outputs": [ { "data": { "text/plain": [ " vegetable+tomato+tomato_aging_states+tomato_cooking_states" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vegetables.vegetable_mapper.compose(tomato, action_groups=['aging', 'cooking'])" ] }, { "cell_type": "code", "execution_count": 5, "id": "aa290686-8074-4038-a3cc-ce6817844653", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[Column('id', Integer(), table=, primary_key=True, nullable=False),\n", " Column('name', String(), table=),\n", " Column('color', String(), table=),\n", " Column('id', Integer(), table=, primary_key=True, nullable=False),\n", " Column('name', String(), ForeignKey('vegetable.name'), table=),\n", " Column('radius', Integer(), table=),\n", " Column('id', Integer(), table=, primary_key=True, nullable=False),\n", " Column('name', String(), ForeignKey('tomato.name'), table=),\n", " Column('state', String(), table=),\n", " Column('age', Integer(), table=)]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(vegetables.vegetable_mapper.compose(tomato, action_groups=['aging']).obj.columns)" ] }, { "cell_type": "code", "execution_count": 6, "id": "f3c7e37d-ba9e-4bae-ae44-adc922bf5f4c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(vegetables.Tomato, vegetables.Vegetable, co3.co3.CO3, object)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tomato.__class__.__mro__" ] }, { "cell_type": "code", "execution_count": 7, "id": "c21d2c54-39e2-4de3-93bc-763896ed348e", "metadata": {}, "outputs": [], "source": [ "from co3.databases import SQLDatabase\n", "\n", "db = SQLDatabase('sqlite://') #, echo=True)" ] }, { "cell_type": "code", "execution_count": 8, "id": "a785d202-99d3-4ae7-859e-ee22b481f8df", "metadata": { "scrolled": true }, "outputs": [], "source": [ "db.recreate(vegetables.vegetable_schema)" ] }, { "cell_type": "code", "execution_count": 9, "id": "cda01cb0-1666-4cb1-aa64-bcdca871aff5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{ vegetable: [{'name': 't1', 'color': 'red'}],\n", " tomato: [{'name': 't1', 'radius': 5}],\n", " tomato_aging_states: [{'name': 't1',\n", " 'state': 'ripe',\n", " 'age': 2}]}" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vegetables.vegetable_mapper.collector.inserts" ] }, { "cell_type": "code", "execution_count": 10, "id": "af7124ed-3031-4f28-89a6-553eb5b3cc7a", "metadata": {}, "outputs": [], "source": [ "with db.engine.connect() as connection:\n", " db.manager.insert_many(\n", " connection,\n", " vegetables.vegetable_mapper.collector.inserts,\n", " )" ] }, { "cell_type": "code", "execution_count": 11, "id": "0149e14e-5d07-42af-847d-af5c190f8946", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[{'id': 1, 'name': 't1', 'radius': 5}]\n" ] } ], "source": [ "with db.engine.connect() as connection:\n", " print(db.accessor.select(\n", " connection, \n", " vegetables.vegetable_schema.get_component('tomato')\n", " ))" ] }, { "cell_type": "code", "execution_count": 32, "id": "668d1b8c-b47f-4a58-914d-e43402443fe6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[{'id': 1, 'name': 't1', 'color': 'red', 'id_1': 1, 'name_1': 't1', 'radius': 5}]\n" ] } ], "source": [ "agg_table = vegetables.vegetable_mapper.compose(tomato)\n", "\n", "with db.engine.connect() as connection:\n", " agg_res = db.accessor.select(\n", " connection, \n", " agg_table,\n", " mappings=True,\n", " )\n", "\n", "print(agg_res)" ] }, { "cell_type": "code", "execution_count": 33, "id": "a051d72d-a867-46dc-bb5e-69341f39a056", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[{'id': 1, 'name': 't1', 'color': 'red', 'id_1': 1, 'name_1': 't1', 'radius': 5, 'id_2': 1, 'name_2': 't1', 'state': 'ripe', 'age': 2}]\n" ] } ], "source": [ "agg_table = vegetables.vegetable_mapper.compose(tomato, action_groups=['aging'])#, outer=True)\n", "\n", "with db.engine.connect() as connection:\n", " agg_res = db.accessor.select(\n", " connection, \n", " agg_table,\n", " mappings=True,\n", " )\n", "\n", "print(agg_res)" ] }, { "cell_type": "code", "execution_count": 31, "id": "6a80cfd7-3175-4526-96e0-374765d64a27", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "sqlalchemy.engine.row.RowMapping" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(agg_res[0])" ] }, { "cell_type": "code", "execution_count": 15, "id": "7cf05ddd-2328-4051-9cf8-4ac01352405e", "metadata": {}, "outputs": [], "source": [ "import sqlalchemy as sa\n", "from co3.engines import SQLEngine\n", "\n", "a = SQLEngine.execute(db.engine.connect(), sa.select(agg_table.obj))" ] }, { "cell_type": "code", "execution_count": 19, "id": "c1edf68e-1fde-4a1f-8ec3-084713a8da45", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a.mappings().all()\n" ] }, { "cell_type": "code", "execution_count": 37, "id": "8b8a9e47-7f5f-4828-a99e-5d9a12697f46", "metadata": {}, "outputs": [], "source": [ "tomato2 = vegetables.Tomato('t2', 8)" ] }, { "cell_type": "code", "execution_count": 38, "id": "062aa4de-7aea-4fd3-b5db-82af147d023e", "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'Tomato' object has no attribute 'action_map'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[38], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mvegetables\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvegetable_mapper\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcollect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtomato2\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/Documents/projects/ontolog/co3/build/__editable__.co3-0.1.1-py3-none-any/co3/mapper.py:198\u001b[0m, in \u001b[0;36mMapper.collect\u001b[0;34m(self, obj, action_keys, action_groups)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[1;32m 180\u001b[0m \u001b[38;5;124;03mStages inserts up the inheritance chain, and down through components.\u001b[39;00m\n\u001b[1;32m 181\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[38;5;124;03mReturns: dict with keys and values relevant for associated SQLite tables\u001b[39;00m\n\u001b[1;32m 196\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m action_keys \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 198\u001b[0m action_keys \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maction_map\u001b[49m\u001b[38;5;241m.\u001b[39mkeys())\n\u001b[1;32m 200\u001b[0m receipts \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 201\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m _cls \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(obj\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__mro__\u001b[39m[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m]):\n", "\u001b[0;31mAttributeError\u001b[0m: 'Tomato' object has no attribute 'action_map'" ] } ], "source": [ "vegetables.vegetable_mapper.collect(tomato2)" ] }, { "cell_type": "code", "execution_count": null, "id": "4673ddc8-3f76-4d8c-8186-bbed4a682e0d", "metadata": {}, "outputs": [], "source": [ "db.insert(vegetables.vegetable_schema.get_component('tomato'), " ] }, { "cell_type": "code", "execution_count": 36, "id": "9314be4e-c1d5-4af8-ad23-0b208d24b3eb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'id': 1, 'name': 't1', 'radius': 5}]" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "db.select(vegetables.vegetable_schema.get_component('tomato'))" ] }, { "cell_type": "code", "execution_count": null, "id": "a2efd060-f298-4ca6-8a58-7ed5acf1dd15", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "co3", "language": "python", "name": "co3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 5 }