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# Lazy parsing for Pydantic models
This library provides a lazy interface for parsing objects from dictionaries. During the parsing, it saves the raw data inside the object and parses each field on demand.
## Install
poetry
```shell
poetry add lazy-model
```
pip
```shell
pip install lazy-model
```
## Usage
```python
from lazy_model import LazyModel
from pydantic import validator
class Sample(LazyModel):
i: int
s: str
@validator("s")
def s_upper(cls, v):
return v.upper()
obj = Sample.lazy_parse({"i": "10", "s": "test"})
# at this point the data is stored in a raw format inside the object
print(obj.__dict__)
# >>> {'i': NAO, 's': NAO}
# NAO - Not An Object. It shows that the field was not parsed yet.
print(obj.s)
# >>> TEST
# Custom validator works during lazy parsing
print(obj.__dict__)
# >>> {'i': NAO, 's': 'TEST'}
# The `s` field was already parsed by this step
print(obj.i, type(obj.i))
# >>> 10 <class 'int'>
# It converted `10` from string to int based on the annotations
print(obj.__dict__)
# >>> {'i': 10, 's': 'TEST'}
# Everything was parsed
```
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