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Optional relationship example #8

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26db0c7
Optional relationship example
AndyMoreland Aug 16, 2023
8c18da6
Update nb
AndyMoreland Aug 16, 2023
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268 changes: 268 additions & 0 deletions branch_nb.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from chalk.client import ChalkClient\n",
"from chalk.features import features, online, has_one, DataFrame\n",
"from typing import Optional\n",
"\n",
"\n",
"c = ChalkClient(branch=\"main2\")"
]
},
{
"cell_type": "markdown",
"source": [],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": 72,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uploading 1 feature class to branch server...\n",
"*\tfeature: card_account_fs.id\n",
"*\tfeature: card_account_fs.some_card_feature\n"
]
}
],
"source": [
"@features\n",
"class CardAccountFS:\n",
" id: int\n",
"\n",
" some_card_feature: str\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 79,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uploading 1 feature class to branch server...\n",
"*\tfeature: funding_source.bank_account_id\n",
"*\tfeature: funding_source.card_account\n",
"*\tfeature: funding_source.card_account_id\n",
"*\tfeature: funding_source.funding_source_type\n",
"*\tfeature: funding_source.id\n",
"*\tfeature: funding_source.some_feature\n"
]
}
],
"source": [
"@features\n",
"class FundingSource:\n",
" id: int\n",
" card_account_id: Optional[int]\n",
" bank_account_id: Optional[int]\n",
" funding_source_type: str # card or account\n",
"\n",
" some_feature: Optional[str]\n",
"\n",
" card_account: Optional[CardAccountFS] = has_one(lambda: CardAccountFS.id == FundingSource.card_account_id)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 74,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uploading 1 resolver to branch server...\n",
"*\tresolver: funding_source_type\n"
]
}
],
"source": [
"@online\n",
"def funding_source_type(\n",
" funding_source_type: FundingSource.funding_source_type,\n",
" card_account_feature: Optional[FundingSource.card_account.some_card_feature]\n",
") -> FundingSource.some_feature:\n",
" return card_account_feature"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 75,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uploading 1 resolver to branch server...\n",
"*\tresolver: get_card_accounts\n"
]
}
],
"source": [
"@online\n",
"def get_card_accounts() -> DataFrame[CardAccountFS.id, CardAccountFS.some_card_feature]:\n",
" return DataFrame([\n",
" CardAccountFS(id=100, some_card_feature=\"Something\")\n",
" ])"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 76,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uploading 1 resolver to branch server...\n",
"*\tresolver: get_funding_sources\n"
]
}
],
"source": [
"@online\n",
"def get_funding_sources() -> DataFrame[FundingSource.id, FundingSource.funding_source_type, FundingSource.card_account_id, FundingSource.bank_account_id]:\n",
" return DataFrame([\n",
" FundingSource(id=1, funding_source_type=\"card\", card_account_id=100, bank_account_id=None),\n",
" FundingSource(id=2, funding_source_type=\"bank_account\", card_account_id=None, bank_account_id=1000)\n",
" ])"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 81,
"outputs": [
{
"data": {
"text/plain": " Feature Value\n0 funding_source.id 1\n1 funding_source.card_account_id 100\n2 funding_source.some_feature Something\n3 funding_source.bank_account_id None\n4 funding_source.funding_source_type card",
"text/markdown": "\n## Features\n```\n┌───────────────────────────────────┬───────────┐\n│ Feature ┆ Value │\n╞═══════════════════════════════════╪═══════════╡\n│ funding_source.id ┆ 1 │\n│ funding_source.card_account_id ┆ 100 │\n│ funding_source.some_feature ┆ Something │\n│ funding_source.bank_account_id ┆ null │\n│ funding_source.funding_source_ty… ┆ card │\n└───────────────────────────────────┴───────────┘\n```"
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"c.query(input={FundingSource.id: 1}, output=[FundingSource.id, FundingSource.funding_source_type, FundingSource.bank_account_id, FundingSource.card_account_id, FundingSource.some_feature], explain=True)\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 82,
"outputs": [
{
"data": {
"text/plain": " Feature Value\n0 funding_source.id 2\n1 funding_source.card_account_id None\n2 funding_source.some_feature None\n3 funding_source.bank_account_id 1000\n4 funding_source.funding_source_type bank_account",
"text/markdown": "\n## Features\n```\n┌───────────────────────────────────┬──────────────┐\n│ Feature ┆ Value │\n╞═══════════════════════════════════╪══════════════╡\n│ funding_source.id ┆ 2 │\n│ funding_source.card_account_id ┆ null │\n│ funding_source.some_feature ┆ null │\n│ funding_source.bank_account_id ┆ 1000 │\n│ funding_source.funding_source_ty… ┆ bank_account │\n└───────────────────────────────────┴──────────────┘\n```"
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"c.query(input={FundingSource.id: 2}, output=[FundingSource.id, FundingSource.funding_source_type, FundingSource.bank_account_id, FundingSource.card_account_id, FundingSource.some_feature], explain=True)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
}