| Name | DBDictionary JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | |
| Summary | A dictionary-like interface for using databases |
| upload_time | 2023-09-19 18:49:19 |
| maintainer | |
| docs_url | None |
| author | shashstormer |
| requires_python | |
| license | |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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# DB Dictionary
## Description :
This is a module which has been designed to make it easier to work with databases
in python using a dictionary like interface.
## Installation :
`pip install DBDictionary`
## Usage MongoDB :
```python
from DBDictionary import MongoDB_Dict
my_db_dict = MongoDB_Dict("my_db_name", "my_collection_name", "my_key_field", "my_connection_string")
# The connection string is optional and will default to
# "mongodb://localhost:27017/" if not provided here and not in the ENV var also
my_db_dict["my_key"] = {"my_key_field": "my_key",
"other data": "my_value"} # This will insert a new document into the collection
your_value = my_db_dict["my_key"] # This will return "my_value", the value in the database
print(your_value) # This will print {"my_key_field": "my_key", "other data": "my_value"}
del my_db_dict["my_key"] # This will delete the document from the collection
# now trying to retrive the value will raise a KeyError ,
# but you can use the "get" method like you do in a dictionary as usual
your_value = my_db_dict.get("my_key", "default_value") # This will return "default_value"
print(your_value) # This will print "default_value"
your_value = my_db_dict["my_key"] # This will raise a KeyError
# editing and updating a document :
your_value["other data"] = "my_new_value" # This will edit the value in the memory
my_db_dict.update(your_value) # This will update the document in the database
# When you edit a dictionary like this :
my_db_dict["my_key"][
"other data"] = "my_new_value" # This will have no effect on the database and any changes will be lost
```
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