Transform string with dictionary-like representation into dictionary in Python

Question

Let's say I have a string that looks like so:

text = '''
{"question":"In 2017, what was the approximate number of clinics in the US that provided abortion services?","category":"RFB","answers":["80","800","8000","80000"],"sources":["https://www.guttmacher.org/fact-sheet/induced-abortion-united-states"]} 
{"question":"Compared to actively religious US adults, how many unaffiliated US adults were active in non-religious voluntary organizations, such as charities?","category":"DFB","answers":["Slightly fewer (10% difference)","Slightly more (10% difference)","Many fewer (35% difference)","Many more (35% difference)"],"sources":["https://www.pewforum.org/2019/01/31/religions-relationship-to-happiness-civic-engagement-and-health-around-the-world/"]}
{"question":"In the US in 2015, there were ___ abortions per 1000 live births.","category":"DFB","answers":["12","80","124","188"],"sources":["https://www.cdc.gov/mmwr/volumes/67/ss/ss6713a1.htm?s_cid=ss6713a1_w"]}'''

I would like to convert this string into a python dictionary with the keys "question", "category", "answer", and "sources." Question and category will always be plaintext, whereas answers and sources will be in a list-like format with brackets.

I assume it will require the use of regex as in this answer with something of the form dictionary = dict(re.findall(r"\{(\S+)\s+\{*(.*?)\}+",text)) but can't quite get it to match all the keys I need.

Any thoughts?

The identified "duplicate" link doesn't solve my problem. I get "invalid syntax" error when using dictionary = ast.literal_eval(text) , because I haven't successfully demarcated all the separate dictionaries from the string.

Answer 1

You can try this, hope it's helpful. I return a list here, but it up to your purpose.

a = text.strip().split("\n")
import ast
b = []
for i in a:
    d = dict(ast.literal_eval(i))
    b.append(d)

>>>b
[{'question': 'In 2017, what was the approximate number of clinics in the US that provided abortion services?', 'category': 'RFB', 'answers': ['80', '800', '8000', '80000'], 'sources': ['https://www.guttmacher.org/fact-sheet/induced-abortion-united-states']}, {'question': 'Compared to actively religious US adults, how many unaffiliated US adults were active in non-religious voluntary organizations, such as charities?', 'category': 'DFB', 'answers': ['Slightly fewer (10% difference)', 'Slightly more (10% difference)', 'Many fewer (35% difference)', 'Many more (35% difference)'], 'sources': ['https://www.pewforum.org/2019/01/31/religions-relationship-to-happiness-civic-engagement-and-health-around-the-world/']}, {'question': 'In the US in 2015, there were ___ abortions per 1000 live births.', 'category': 'DFB', 'answers': ['12', '80', '124', '188'], 'sources': ['https://www.cdc.gov/mmwr/volumes/67/ss/ss6713a1.htm?s_cid=ss6713a1_w']}]

Answer 2

This works!!

The output for this code is

{'question':'abc', 'category':'abc', 'answers':['a', 'b', 'c'], 'sources': ['a', 'b', 'c']}

import json
text = '''{"question":"In 2017, what was the approximate number of clinics in the US that provided abortion services?","category":"RFB","answers":["80","800","8000","80000"],"sources":["https://www.guttmacher.org/fact-sheet/induced-abortion-united-states"]}
{"question":"Compared to actively religious US adults, how many unaffiliated US adults were active in non-religious voluntary organizations, such as charities?","category":"DFB","answers":["Slightly fewer (10 difference)","Slightly more (10 difference)","Many fewer (35 difference)","Many more (35 difference)"],"sources":["https://www.pewforum.org/2019/01/31/religions-relationship-to-happiness-civic-engagement-and-health-around-the-world/"]}
{"question":"In the US in 2015, there were ___ abortions per 1000 live births.","category":"DFB","answers":["12","80","124","188"],"sources":["https://www.cdc.gov/mmwr/volumes/67/ss/ss6713a1.htm?s_cid=ss6713a1_w"]}'''

text = '''{"question":"a","category":"a","answers":["a", "b"],"sources":["a"]}
{"question":"b","category":"b","answers":["b", "c"],"sources":["b"]}
{"question":"c","category":"c","answers":["c", "d"],"sources":["c"]}'''
outputDict = {"question":"", "category":"", "answers":[], "sources":[]}
for i in text.split('\n'):
    a = (json.loads(i))
    outputDict["question"]+=a["question"]
    outputDict["category"]+=a["category"]
    outputDict["answers"].append(a["answers"][0])
    outputDict["sources"].append(a["sources"][0])

print(outputDict)

Answer 3

If you can absolutely guarantee that the source for your data is safe, then it can be as simple as:

exec(f"l={text}")
print(l) #{'question': 'In 2017, what was the approximate number of clinics in the US that provided abortion services?', 'category': 'RFB', 'answers': ['80', '800', '8000', '80000'], 'sources': ['https://www.guttmacher.org/fact-sheet/induced-abortion-united-states']}

If there is even a shadow of a chance that a malicious actor could get at your input text then don't do this, but it is as simple as it gets.

Answer 4

Try the below code. Hope this will help:

text = '''
{"question":"In 2017, what was the approximate number of clinics in the US that provided abortion services?","category":"RFB","answers":["80","800","8000","80000"],"sources":["https://www.guttmacher.org/fact-sheet/induced-abortion-united-states"]} 
{"question":"Compared to actively religious US adults, how many unaffiliated US adults were active in non-religious voluntary organizations, such as charities?","category":"DFB","answers":["Slightly fewer (10% difference)","Slightly more (10% difference)","Many fewer (35% difference)","Many more (35% difference)"],"sources":["https://www.pewforum.org/2019/01/31/religions-relationship-to-happiness-civic-engagement-and-health-around-the-world/"]}
{"question":"In the US in 2015, there were ___ abortions per 1000 live births.","category":"DFB","answers":["12","80","124","188"],"sources":["https://www.cdc.gov/mmwr/volumes/67/ss/ss6713a1.htm?s_cid=ss6713a1_w"]}'''

import json
data = []
splited = text.split("}")
for i in range(len(splited)-1):
    data.append(json.loads(splited[i]+'}'))

print(data)
print(type(data[0]))

Ouput will be:

[{'question': 'In 2017, what was the approximate number of clinics in the US that provided abortion services?', 'category': 'RFB', 'answers': ['80', '800', '8000', '80000'], 'sources': ['https://www.guttmacher.org/fact-sheet/induced-abortion-united-states']}, {'question': 'Compared to actively religious US adults, how many unaffiliated US adults were active in non-religious voluntary organizations, such as charities?', 'category': 'DFB', 'answers': ['Slightly fewer (10% difference)', 'Slightly more(10% difference)', 'Many fewer (35% difference)', 'Many more (35% difference)'], 'sources': ['https://www.pewforum.org/2019/01/31/religions-relationship-to-happiness-civic-engagement-and-health-around-the-world/']}, {'question': 'In the US in 2015, there were ___ abortions per 1000 live births.', 'category': 'DFB', 'answers': ['12', '80', '124', '188'], 'sources': ['https://www.cdc.gov/mmwr/volumes/67/ss/ss6713a1.htm?s_cid=ss6713a1_w']}]
<class 'dict'>

Answer 5

I was able to generate my own answer like so:

a = [i for i in text.split("\n")]
for dicts in a:
  try:
    dict(eval(dicts))
  except:
    print("Failed") 
    print(dicts)