Dictor - the dictionary doctor

An elegant dictionary and JSON handler

ATTENTION: Dictor version 0.1.13 and up will be dropping support for Python 2

Dictor is a Python JSON and Dictionary (Hash, Map) handler.

Dictor takes a dictionary or JSON data and returns value for a specific key.

If Dictor doesnt find a value for a key, or if JSON or Dictionary data is missing the key, the return value is either None or whatever fallback value you provide.

Dictor is polite with Exception errors commonly encountered when parsing large Dictionaries/JSONs.

Using Dictor eliminates the repeated use of try/except blocks in your code when dealing with lookups of large JSON structures, as well as providing flexibility for inserting fallback values on missing keys/values.

Why not use dict.get("value") ?

using the built-in dict.get() does not parse the full body of a dict.

This method works if parsing a simple key=value structure, for example:

data = {"name": "Joe"}

>>> print(data.get("name"))
Joe
>>> print(data.get("age"))
None
>>> print(data.get("age", "this key doesnt exist"))
this key doesnt exist

But this wont work if the dict is inside a list,

>>> data = [{"name": "Joe"}]
>>> print(data.get("age"))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'list' object has no attribute 'get'

you will need to loop through each list element to get to the key:value

or if the dict has a complex and nested structure, for example if I want to get Joe's age, I need to create a for-loop to parse the hierarchial levels of the dict structure until I reach the "age" key:

data = {
    "employees": {
        "Joe": {
            "age": 20,
            "id": 123
        }
    }
}

>>> print(data.get("employees.Joe"))
None

Dictor greatly simplifies all this code by abstracting the logic.

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Installation

pip install dictor

Usage

sample.json

{
  "characters": {
    "Lonestar": {
      "id": 55923,
      "role": "renegade",
      "items": ["space winnebago", "leather jacket"]
    },
    "Barfolomew": {
      "id": 55924,
      "role": "mawg",
      "items": ["peanut butter jar", "waggy tail"]
    },
    "Dark Helmet": {
      "id": 99999,
      "role": "Good is dumb",
      "items": ["Shwartz", "helmet"]
    },
    "Skroob": {
      "id": 12345,
      "role": "Spaceballs CEO",
      "items": ["luggage"]
    }
  }
}

now lets get info on all Characters

import json
from dictor import dictor

with open('sample.json') as data:
    data = json.load(data)

print(dictor(data, 'characters'))


>>>

{'Lonestar': {'id': 55923, 'role': 'renegade', 'items': ['space winnebago', 'leather jacket']}, 'Barfolomew': {'id': 55924, 'role': 'mawg', 'items': ['peanut butter jar', 'waggy tail']}, 'Dark Helmet': {'id': 99999, 'role': 'Good is dumb', 'items': ['Shwartz', 'helmet']}, 'Skroob': {'id': 12345, 'role': 'Spaceballs CEO', 'items': ['luggage']}}

---

get details for Dark Helmet

print(dictor(data, 'characters.Dark Helmet.items'))

>> ['Shwartz', 'helmet']

you can also pass a flag to ignore letter Upper/Lower casing,

print(dictor(data, 'characters.dark helmet.items', ignorecase=True))

---

get only the 1st Item of a character

print(dictor(data, 'characters.Dark Helmet.items.0'))

>> Shwartz

---

Fallback Value & Error Handling

by default, dictor will return a None if a dictionary does not contain your search path,

print(dictor(data, 'characters.Princess Leia'))

>> None

you can provide a default fallback value either by passing default="fallback value" or just placing a fallback string,

print(dictor(data, 'characters.Princess Leia', default='Not in Spaceballs'))

>> Not in Spaceballs

or just add a fallback string,

print(dictor(data, 'characters.Princess Leia', 'fallback to this'))

>> fallback to this

if you want to error out on a None value, simply provide a CheckNone flag, a ValueError will be raised.

print(dictor(data, 'characters.Princess Leia', checknone=True))

Traceback (most recent call last):
  File "test.py", line 7, in <module>
    print(dictor(data, 'characters.Princess Leia', checknone=True))
  File "/usr/local/lib/python3.10/dist-packages/dictor/__init__.py", line 155, in dictor
    raise ValueError('value not found for search path: "%s"' % path)
ValueError: value not found for search path: "characters.Princess Leia"

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Passing a variable into search path

if you need to pass a variable into search path

who = "Barfolomew"
print(dictor(data, "characters.{}.id".format(who)))

>> 55924

if using Python 3, you can also use F-strings

who = "Barfolomew"
print(dictor(data, f"characters.{who}.id"))

---

List of Dicts

if the entire JSON structure is a list

[
  {
    "color": "red",
    "value": "#f00"
  },
  {
    "color": "green",
    "value": "#0f0"
  },
  {
    "color": "blue",
    "value": "#00f"
  }
]

just provide the list index into search path

print(dictor(data, '2.color'))

>> blue

---

Nested List of lists

to parse a complex nested list of lists and dicts, just provide the list index in the search path

[
  {
    "type": "json",
    "message": [
      [
        {
          "english": "apple",
          "spanish": "manzana"
        },
        {
          "english": "banana",
          "spanish": "platano"
        }
      ],
      [
        {
          "english": "cherry",
          "spanish": "cereza"
        },
        {
          "english": "durian",
          "spanish": "durian",
          "color": ["black", "brown", "orange"]
        }
      ]
    ]
  }
]

dictor will parse each lookup element hierarchicly, starting with top and will work down to the last element, reading in each dot-separated list index.

print(dictor(data, '0.message.1.1.color.2'))

>> orange

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Handling Key lookups with dots or other characters

if you need to look up a key value that has a dot or some other character in the key name, for example

{
  "dirty.harry": {
    "year": 1977,
    "genre": "romance"
  }
}

searching for dictor(data, 'dirty.harry') will return a None since Dictor sees the dot-separated entry as 2 separate keys.

To search for a key with a dot in the name, simply use a Path Separator flag, this allows you to control the separator of keys by using a custom character. (by default, pathsep is set to '.')

print(dictor(data, 'dirty.harry/genre', pathsep='/'))

>> {'romance'}

you can also use an escape character "\" to escape a dot,

print(dictor(data, "dirty\.harry.genre"))

>>> {'romance'}

---

Searching specific keys

Dictor has the ability to search for specific keys and output a list of values. For example, to search for all values that match "name" key

data = {
    "planets": [
        {
            "name": "Mars",
            "type": "rock",
            "attributes": {
                "name": "named after Roman god of war",
                "color": "red",
                "size" : "28,230 km"
            }
        },
        {
            "name": "Neptune",
            "type": "gas",
            "attributes": {
                "name": "named after Roman god of ocean",
                "color": "blue",
                "size" : "338,382 km"
            }
        },
    ]
}

simply pass the search="key_name" flag

print(dictor(data, 'planets', search='name'))
>> ['Mars', 'named after Roman god of war', 'Neptune', 'named after Roman god of ocean']

If search key is non existent, dictor will pass a None. In this case you can pass a default fallback value,

print(dictor(data, 'planets', search='fake_key', default='couldnt find value'))
>> couldnt find value

if the entire dict structure is a list, ie:

[
  {
    "name": "spaceballs",
    "genre": "romance"
  },
  {
    "name": "gone with the wind",
    "genre": "chick flick"
  },
  {
    "name": "titanic",
    "genre": "comedy"
  }
]

you can search for all keys directly, ie

print(dictor(data, search='genre'))

>> ['romance', 'chick flick', 'comedy']

• if a key value in the JSON is false, dictor will convert it to pythonic False
• if a key value in the JSON is true, dictor will convert it to pythonic True
• if a key value in the JSON is null, dictor will convert it to pythonic None (unless you provide a default value)
• if a key value in the JSON is blank or "", dictor will convert it to a blank ""

so this JSON will be translated by dictor like this,

[
  {
    "status": true
  },
  {
    "status": false
  },
  {
    "status": null
  },
  {
    "status": ""
  }
]

will be returned as

print(dictor(data, search="status"))
>> [True, False, None, '']

print(dictor(data, search="status", default="fallback"))
>> [True, False, 'fallback', '']

---

Pretty Print

you can pretty print (human readable JSON output) your result,

print(dictor(data, pretty=True))

[
  {
    "genre": "comedy",
    "name": "spaceballs"
  },
  {
    "genre": "tragedy",
    "name": "gone with the wind"
  },
  {
    "genre": "comedy",
    "name": "titanic"
  }
]

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Return specific type

if you want to return lookup value in a specific character type (int or str), use the return type (rtype) flag

Convert an integer return value into a string

data = { "age": 25 }

print(dictor(data, "age", rtype="str"))
>>> "25"

Convert a string return value into an integer

data = { "some string value": "1234" }

print(dictor(data, "some string value", rtype="int"))
>>> 1234

This will only return the desired output type if return value is string or int. If the return value is a dictionary, list or tuple, the original return value will be returned.

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