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aidalib-0.2
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Aida is a language agnostic library for text generation.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aidalib-0.2 |
| نام | aidalib |
| نسخه کتابخانه | 0.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Giulio Bottari |
| ایمیل نویسنده | giuliobottari@gmail.com |
| آدرس صفحه اصلی | https://github.com/mediatechlab/aida-lib |
| آدرس اینترنتی | https://pypi.org/project/aidalib/ |
| مجوز | MIT |
# Aida Lib
Aida is a language agnostic library for text generation.
## Usage
A simple hello world script would look like this:
```Python
from aida import render, Empty, Var
# create a variable to hold a name
name_var = Var('name')
# create a simple phrase
node = (Empty + 'hello,' | name_var).to_phrase()
# assign a value to the variable
name_var.assign('World')
# render the node
print(render(node)) # 'Hello, World.'
```
## Install
Download and install with pip:
```bash
pip install aidalib
```
## Core Concepts
When using Aida, first you compose a tree of operations on your text that include conditions via branches and other control flow. Later, you fill the tree with data and render the text.
A building block is the variable class: `Var`. Use it to represent a value that you want to control later. A variable can hold numbers (e.g. `float`, `int`) or strings.
You can create branches and complex logic with `Branch`. In the example below, if `x` is greater than 1, it will render `many`, otherwise `single`.
```Python
x = Var('x')
Branch(x > 1, 'many', 'single')
```
### Context
The context, represented by the class `Ctx`, is useful to create rules that depends on what has been written before. Each object or literal that is passed to Aida is remembered by the context.
```Python
name = Const('Bob')
alt_name = Const('He')
bob = Branch(~name.in_ctx(), name, alt_name)
ctx = Ctx()
render(bob | 'is a cool guy.' | bob | 'doesn\'t mind.', ctx)
# Bob is a cool guy. He doesn't mind.
```
Creating a reference expression is a common use-case, so we have a helper function called `create_ref`.
```Python
bob = create_ref('Bob', 'He')
```
### Operators
You can compose operations on your text with some handy operators.
#### Concatenation (`+` and `|`)
```Python
'the' | 'quick' | 'brown' | 'fox' # 'the quick brown fox'
'the' + 'quick' + 'brown' + 'fox' # 'thequickbrownfox'
```
#### Check context (`in_ctx`)
Check if the current node is in the context.
```Python
Const('something').in_ctx()
```
#### Create a sentence (`sentence`)
Formats a line into a sentence, capitalizing the first word and adding a period.
```Python
Const('hello world').sentence() # 'Hello world.'
```
#### Logical and numeric operators
| operator | example |
| --------------------- | -------- |
| negation | `!x` |
| greater than | `x > y` |
| greater or equal than | `x >= y` |
| less than | `x < y` |
| less or equal than | `x <= y` |
| equal | `x == y` |
| not equal | `x != y` |
| or | `x | y` |
| and | `x & y` |
| plus | `x + y` |
### Random choice
Randomly draws one node from a list of possibilities.
```Python
Choice('Alice', 'Bob', 'Chris') # either 'Alice', 'Bob', or 'Chris'
```
### Injector
The `Injector` class assigns values to variables from a list each time it is rendered. Very useful to automatically fill values based on data.
```Python
animal = Var('animal')
sound = Var('sound')
node = animal | 'makes' | sound
node = Injector([animal, sound], node)
# assign multiple values
node.assign([
{'animal': 'cat', 'sound': 'meaw'},
{'animal': 'dog', 'sound': 'roof'},
])
render(node) # 'cat makes meaw'
render(node) # 'dog makes roof'
```
### For-loops with `Repeat`
Use `Repeat` to render a node multiple times. At the simplest level, you have this:
```Python
render(Repeat('buffalo').assign(8))
# 'buffalo buffalo buffalo buffalo buffalo buffalo buffalo buffalo'
```
`Repeat` is very useful when used with `Injector`, like this:
```Python
animal = Var('animal')
sound = Var('sound')
node = animal | 'makes' | sound
node = Injector([animal, sound], node)
repeat = Repeat(node)
# assign multiple values
data = [
{'animal': 'cat', 'sound': 'meaw'},
{'animal': 'dog', 'sound': 'roof'},
]
node.assign(data)
repeat.assign(len(data))
# renders text based on data
render(node) # cat makes meaw dog makes roof
```
## Language Concepts
There are some experimental features that allows you to create text that adapts to common language features, like grammatical _number_ and _person_.
### Enumerate items
Use `LangConfig` to setup language features and then call `create_enumeration()`.
```Python
from aida import create_enumeration, LangConfig, Lang, render
render(create_enumeration(LangConfig(lang=Lang.ENGLISH), 'Alice', 'Bob', 'Chris'))
# 'Alice, Bob, and Chris'
render(create_enumeration(LangConfig(lang=Lang.PORTUGUESE), 'Alice', 'Bob', 'Chris'))
# 'Alice, Bob e Chris'
```
### Sentence Structure
You can compose sentences using special structures: `NP` (noun phrase) and `VP` (verb phrase) along with `LangConfig`.
```Python
from aida import NP, VP, LangConfig
subj = NP('the dog')
verb = VP('barked')
s = (subj | verb).sentence()
render(LangConfig(s)) # The dog barked.
```
What really makes this different from just using `Const` is that we can create rules that change the output of `NP` and `VP` based on various language features. The system will try to use the rule that matches most features from the given `LangConfig`.
```Python
from aida import NP, VP, LangConfig, GNumber, GPerson
subj = (NP('I')
.add_mapping('I', GNumber.SINGULAR, GPerson.FIRST)
.add_mapping('he', GNumber.SINGULAR, GPerson.THIRD))
.add_mapping('we', GNumber.PLURAL, GPerson.FIRST))
verb = (VP('drive')
.add_mapping('drive', GPerson.FIRST)
.add_mapping('drives', GPerson.THIRD))
s = (subj | verb | 'a nice car').sentence()
render(LangConfig(s, number=GNumber.SINGULAR, person=GPerson.FIRST)) # I drive a nice car.
render(LangConfig(s, number=GNumber.SINGULAR, person=GPerson.THIRD)) # He drives a nice car.
render(LangConfig(s, number=GNumber.PLURAL, person=GPerson.FIRST)) # We drive a nice car.
```
نحوه نصب
نصب پکیج whl aidalib-0.2:
pip install aidalib-0.2.whl
نصب پکیج tar.gz aidalib-0.2:
pip install aidalib-0.2.tar.gz