- Basic dictionaries
- Nested dictionaries
- Dictionaries with Lists if the items are of same type
- Any level of nesting as long as list items are of same type
- NoneType values default to
Optional[Any]
Each generation gets tested by pytype. In the case it fails it will let you know and provide a link to typegen Issues.
It created the type, but didn't import something needed like a datetime.
I'm looking for a clever way to handle the importing, but this should be a quick fix for now.
usage: typegen [-h] -f FILE -v VAR -t TYPE_NAME [-o OUTPUT]
Import a variable from a file.
options:
-h, --help show this help message and exit
-f FILE, --file FILE Path to the python file (without .py extension)
-v VAR, --var VAR Variable name in the file
-t TYPE_NAME, --type-name TYPE_NAME
Name for the type
-o OUTPUT, --output OUTPUT
Path to the output file (default: out/<name of variable>.py)
File: tests/fish_obj.py
fish = {
'fish': {
"health":3,
"location":{
"city": "belo",
"state": "kansas"
},
"items": [
{"item_id": 1, "value":4, "name": "scales", "variations": ["weak", "strong"]},
{"item_id": 2, "value":4, "name": "knife", "variations": ["weak", "strong"]},
{"item_id": 1, "value":4, "name": "scales", "variations": ["weak", "strong"]}
]
}
}
Run
typegen -f tests/fish_obj -v fish -t FishType
Output:
File: out/FishType.py
from typing import TypedDict, List, Optional, Any
class ItemsList(TypedDict):
item_id: int
value: int
name: str
variations: List[str]
class Location(TypedDict):
city: str
state: str
class Fish(TypedDict):
health: int
location: Location
items: List[ItemsList]
class FishType(TypedDict):
fish: Fish
I will work to patch big issues with generating TypedDicts but will not expand the scope of the project for now.
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