Metadata-Version: 2.1
Name: nested_json2rel_data
Version: 0.0.2
Summary: package to convert nested json to relational and flat data structure.  
Home-page: UNKNOWN
Author: Joy Maitra
Author-email: joy_maitra@yahoo.co.in
License: UNKNOWN
Description: # Description
        This package accepts a nested json as input parameter and provides a flat structured json as output. The output data has additional attributes that help maintaining the relational integrity of the data with parent and child.
        
        # Installation
        
        ```
        pip install nested-json2rel-data
        ```
        
        
        # Usage example
        
          * ## json file : json_data.json
        
        ```
        {
        "name": "Peter Parker",
        "job" : "developer",
        "organization": "Daily Bugle",
        "address":{"country":"Scotland",
        		"state":"Wishaw",
        		"city":"Glasgow",
        		"pin":"BA1 2FJ"
        		},
        "email":["peter.parker@gmail.com"
        		,"peter_parker@yahoo.com",
        		{"primary":"peter.parker@microsoft.com"
        		,"secondary":"peter.parker@ibm.com"}],
        "education":[
        			{"degree": "Bachelor in Media",
        			"university":"MIT",
        			"school name":"MIT",
        			"contact no":[1,2]
        			},
        			{"degree":"Media and Journalism",
        			"university":"oxford",
        			"school":"Oxford",
        			"contact no":[3,4]
        			},
        			{"degree":"Social Science",
        			"university":"Cambridge",
        			"school":"Cambridge",
        			"contact no":[5,6]
        			}
        		],
        "other":{"dob":"10-08-2001",
        		"parent":{"mother":"Mary Parker",
        				"father":"Richard Parker",
        				"brother":"Harry Osborn",
        				"gardian":{"primary":"self",
        							"secondary":"mother"},
        				"grandie":{"Uncle":"Ben Parker",
        							"auntie" : "Mary Parker"}
        				},
        		"birth place": "20 Ingram",
        		"interest":["football","painting","photography","DIY"]
        		},
        "social":{"facebook":"yes",
        		"instagram":"yes",
        		"twitter":"no"
        		}
        } 
        ```
        
          * ## read_json.py
        ```
        import json
        from nested_json2rel_data import nested_json_parser as njp
        
        with open('json_data.json') as json_file:
            data = json.load(json_file)
            p = njp.nested_json_parser(data)
            d=p.bucket()
            print("*************dict :")
            print(d)
        ```
        
          * ## output
        ```
        *************dict :
        [{'root_id': 4, 'root_name': 'address', 'child_of': 'root', 'child_of_id': 0, 'country': 'Scotland', 'state': 'Wishaw', 'city': 'Glasgow', 'pin': 'BA1 2FJ'}, {'root_id': 2, 'root_name': 'email', 'child_of': 'root', 'child_of_id': 0, 'email': 'peter.parker@gmail.com'}, {'root_id': 3, 'root_name': 'email', 'child_of': 'root', 'child_of_id': 0, 'email': 'peter_parker@yahoo.com'}, {'root_id': 12, 'root_name': 'email', 'child_of': 'root', 'child_of_id': 0, 'primary': 'peter.parker@microsoft.com', 'secondary': 'peter.parker@ibm.com'}, {'root_id': 5, 'root_name': 'contact no', 'child_of': 'education', 'child_of_id': 12, 'contact no': 1}, {'root_id': 6, 'root_name': 'contact no', 'child_of': 'education', 'child_of_id': 12, 'contact no': 2}, {'root_id': 12, 'root_name': 'education', 'child_of': 'root', 'child_of_id': 0, 'degree': 'Bachelor in Media', 'university': 'MIT', 'school name': 'MIT'}, {'root_id': 6, 'root_name': 'contact no', 'child_of': 'education', 'child_of_id': 13, 'contact no': 3}, {'root_id': 7, 'root_name': 'contact no', 'child_of': 'education', 'child_of_id': 13, 'contact no': 4}, {'root_id': 13, 'root_name': 'education', 'child_of': 'root', 'child_of_id': 0, 'degree': 'Media and Journalism', 'university': 'oxford', 'school': 'Oxford'}, {'root_id': 7, 'root_name': 'contact no', 'child_of': 'education', 'child_of_id': 15, 'contact no': 5}, {'root_id': 8, 'root_name': 'contact no', 'child_of': 'education', 'child_of_id': 15, 'contact no': 6}, {'root_id': 15, 'root_name': 'education', 'child_of': 'root', 'child_of_id': 0, 'degree': 'Social Science', 'university': 'Cambridge', 'school': 'Cambridge'}, {'root_id': 31, 'root_name': 'gardian', 'child_of': 'parent', 'child_of_id': 27, 'primary': 'self', 'secondary': 'mother'}, {'root_id': 34, 'root_name': 'grandie', 'child_of': 'parent', 'child_of_id': 27, 'Uncle': 'Ben Parker', 'auntie': 'Mary Parker'}, {'root_id': 27, 'root_name': 'parent', 'child_of': 'other', 'child_of_id': 25, 'mother': 'Mary Parker', 'father': 'Richard Parker', 'brother': 'Harry Osborn'}, {'root_id': 5, 'root_name': 'interest', 'child_of': 'other', 'child_of_id': 25, 'interest': 'football'}, {'root_id': 6, 'root_name': 'interest', 'child_of': 'other', 'child_of_id': 25, 'interest': 'painting'}, {'root_id': 7, 'root_name': 'interest', 'child_of': 'other', 'child_of_id': 25, 'interest': 'photography'}, {'root_id': 8, 'root_name': 'interest', 'child_of': 'other', 'child_of_id': 25, 'interest': 'DIY'}, {'root_id': 25, 'root_name': 'other', 'child_of': 'root', 'child_of_id': 0, 'dob': '10-08-2001', 'birth place': '20 Ingram'}, {'root_id': 39, 'root_name': 'social', 'child_of': 'root', 'child_of_id': 0, 'facebook': 'yes', 'instagram': 'yes', 'twitter': 'no'}, {'root_id': 0, 'root_name': 'root', 'child_of': 'root', 'child_of_id': 0, 'name': 'Peter Parker', 'job': 'developer', 'organization': 'Daily Bugle'}]
        ```
        ## Definitions
        | Attribute       | Parameter     | Description     |
        | :------------- | :---------- | :----------- |
        |  nested_json_parser.nested_json_parser(data) | data   | Json data    | 
        |  p.bucket() | None   | not required    | 
        # Source code
        [Git Hub Repo](https://github.com/joymaitra/nested-json2rel-data.git)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
