Many-to-one keys-value pair relationship Python object manager.
Install the latest namari package, upcoming versions might introduce unannounced changes, so a virtual environment is a must have before installation.
pip install --upgrade namari
To integrate namari into your Python codes, check the code snippet below:
from namari import Namari
# initialize
lexicon = Namari()
# initialize with filename
lexicon = Namari("filename.json")
# clear contents
lexicon.clear()
# set key-value pair
lexicon.set("yellow", "sun")
# check if key existing
if lexicon.contains("yellow"):
print("Exists")
# associate an existing key with another value
lexicon.attach("yellow", "hot")
lexicon.attach("yellow", "morning")
lexicon.attach("yellow", "tea")
lexicon.attach("morning", "summer")
lexicon.attach("morning", "cold")
lexicon.attach("morning", "tea")
# associate an existing key with a unique value
lexicon.attach("morning", "tea", unique=True)
# disassociate 2nd key from the 1st key
lexicon.detach("summer", "cold")
# get the value of the specified key
object = lexicon.get("morning") # None
# get the value of the specified key with specified fallback
object = lexicon.get("night", fallback="moon")
# get the first parent of child
parent = lexicon.findFirst("summer", fallback=None)
parents = lexicon.findAll("tea")
# count contents
count = lexicon.count()
# check if empty
if lexicon.is_empty():
print("Empty")
# iterate over all keys-value pairs
for keys, value in lexicon.items():
print(type(keys)) # list
print("\n".join(keys))
print(value)
The repository name namari
was inspired from the developer's noisy cat named Anna Marie, it also means as lead or guidance in Japanese.