Skip to content

Add introspection example #40

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
pydanny wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Add introspection example #40

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
34aa9e7
Add table introspection example
pydanny Nov 13, 2024
c4005ff
Add table introspection example
pydanny Nov 13, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions fastlite/_modidx.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -50,4 +50,5 @@
'fastlite.core.create_mod': ('core.html#create_mod', 'fastlite/core.py'),
'fastlite.core.diagram': ('core.html#diagram', 'fastlite/core.py'),
'fastlite.core.get_typ': ('core.html#get_typ', 'fastlite/core.py')},
'fastlite.db_dc': {},
'fastlite.kw': {}}}
284 changes: 284 additions & 0 deletions nbs/introspection.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,284 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "6a85290f",
"metadata": {},
"source": [
"Using introspection to dynamically create table classes and objects "
]
},
{
"cell_type": "markdown",
"id": "730e3ca1",
"metadata": {},
"source": [
"## Setup"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6329d113",
"metadata": {},
"outputs": [],
"source": [
"from fastlite import *\n",
"from fastcore.all import *"
]
},
{
"cell_type": "markdown",
"id": "3163c66c",
"metadata": {},
"source": [
"Assign a path for the database."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "754fcd24",
"metadata": {},
"outputs": [],
"source": [
"datapath = Path('farm.db')"
]
},
{
"cell_type": "markdown",
"id": "56cd4208",
"metadata": {},
"source": [
"First let's create a database and assign some tables to it"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bcc849fb",
"metadata": {},
"outputs": [],
"source": [
"farm_db = database(datapath)\n",
"class Chicken: id: int; breed: str; age: int; \n",
"class Dog: id: int; name: str; age: int;\n",
"chickens = farm_db.create(Chicken, pk='id')\n",
"dogs = farm_db.create(Dog, pk='id')"
]
},
{
"cell_type": "markdown",
"id": "59237a6c",
"metadata": {},
"source": [
"We'll insert records into both tables."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "38447a5a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Chicken(id=3, breed='Alai', age=2)"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chickens.insert(dict(breed='Alai', age=2))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "09f884c3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Dog(id=3, name='Rover', age=3)"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dogs.insert(dict(name='Rover', age=3))"
]
},
{
"cell_type": "markdown",
"id": "1fdc3674",
"metadata": {},
"source": [
"Now we'll remove everything we just created from the global namespace. This way we can load the database from scratch and be forced to use introspection."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "480370d1",
"metadata": {},
"outputs": [],
"source": [
"del farm_db\n",
"del Chicken\n",
"del Dog\n",
"del chickens\n",
"del dogs"
]
},
{
"cell_type": "markdown",
"id": "c889e7d3",
"metadata": {},
"source": [
"## Testing introspection"
]
},
{
"cell_type": "markdown",
"id": "f1aba07d",
"metadata": {},
"source": [
"We'll use instrospection to load the tables into the global namespace. We use a different name then before to be more certain we aren't accidentally using the old instance."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c2bbbf40",
"metadata": {},
"outputs": [],
"source": [
"db = database(datapath)\n",
"\n",
"g = globals()\n",
"for o in dir(db.t):\n",
" g[o+'s'] = t = getattr(db.t, o)\n",
" g[o.title()] = getattr(t, 'dataclass')()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6b9f60b5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"chicken, dog"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"db.t"
]
},
{
"cell_type": "markdown",
"id": "e3e41020",
"metadata": {},
"source": [
"Do our animals exist?"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8b65be98",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Chicken(id=1, breed='Alai', age=2),\n",
" Chicken(id=2, breed='Alai', age=2),\n",
" Chicken(id=3, breed='Alai', age=2)]"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chickens()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fde23bca",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Dog(id=1, name='Rover', age=3),\n",
" Dog(id=2, name='Rover', age=3),\n",
" Dog(id=3, name='Rover', age=3)]"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dogs()"
]
},
{
"cell_type": "markdown",
"id": "a3a79661",
"metadata": {},
"source": [
"## Cleanup"
]
},
{
"cell_type": "markdown",
"id": "d84b5bce",
"metadata": {},
"source": [
"We remove the database so each time the test is run clean."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7cc9973f",
"metadata": {},
"outputs": [],
"source": [
"if datapath.exists(): datapath.delete()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "python3",
"language": "python",
"name": "python3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}