Question 22365 in SEO Question posted in
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Python: Generate Dictionary From Form Data That Comes In As A Single String – SEO

When working with the ASANA API, a form that is filled out is inserted as a single string under a notes field (sample output below). I am working in a Jupyter Notebook via Anaconda using python version 3.9

My goal would be to create a dict where the form question is the KEY and the answer(s) is the VALUE. ex: {"Name":"Internal Requestor", "Name of Project": "Dummy Test project"} etc so that I can ultimately store it as a pandas df. Some of the questions do have multi-part answers. Those answers can be kept as a single key, example: {"What teams will be involved?": "Content","SEO","Creative","Ops","Pr","Internal"}

EXAMPLE STRING BELOW

"Name:nInternal RequestornnName of Project:nDummy Test ProjectnnWhich Marketing O-Team does this project belong to?:nIncrease trafficnnProject Description:nThis is a project test to see if we can get the fields from this form into a dataframennWhat is the strategy driving this project?:nEfficiency is the name of the game!nnWhat is the expected impact of the project?:nBe more efficient than we currently arennPlease rank size of expected impact (H, M, L):nHighnnWhat are the project objectives?:nBe more efficientnClearer creative directionneasier to stack ranknnHow confident are you this project will meet these objectives?:nHighnnPlease point the size of this project:n8nnWhat teams will be involved?:nContent/SEOnCreativenOpsnPRnInternal CommsnSocialnDemandGennOwnernGuestnExternal StakeholdersnnIf including external stakeholders, please note below:nRes OpsnnPlease point the external stakeholders expected involvement in the project:n5nnWhich content teams?:nContentnSEOnnPlease point content’s expected involvement in the project:n5nnPlease point SEO’s expected involvement in the project:n5nnWhich creative teams?:nDesignnCopynnPlease point Design’s expected involvement in the project:n8nnPlease point Copy’s expected involvement in the project:n8nnWhich Ops Teams?:nAnalyticsnMartechnnPlease point Analytics expected involvement in projects:n8nnPlease point Martech’s expected involvement in the project:n8nnPlease point PR’s expected involvement in the project:n1nnPlease point Internal Comms expected involvement in the project:n5nnPlease point Social’s expected involvement in the project:n5nnPlease point DemandGen’s expected involvement in the project:n3nnPlease point Owner’s expected involvement in the project:n8nnPlease point Guest’s expected involvement in the project:n1nnPlease provide project milestones:nScoping 9/19 – 9/20nExecution 9/21 – 9/25nLaunch 9/31nnIs this a hard or soft deadline?:nHardnnWhat is driving this deadline?:nEfficiencynnWhich manager approved this request submission?:nBilly Bobn

I attempted to use .splitlines(), but was not sure how to utilize the output to construct a dict from the list it returned (particularly when accounting for the questions that have multiple answers, described above). ** New to StackOverflow as well, can include more details as needed **

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3

Answers


  1. 0

    If s is your string :

    d = {
    entry.split("n")[0]: ",".join(entry.split("n")[1:])
    for entry in s.split("nn")
}

    If you ever have 2 newlines in a row in an answer this won’t work, but in that case the string is ambiguous and I don’t see what could get around that.

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  2. 0

    Break the problem up into smaller pieces.

    Based on your data, start by splitting by double new lines, then by a single new line.

    >>> raw = "YOUR LONG STRING"
>>> qa = {}
>>> for group in raw.split('nn'):
...   question, answers = group.split('n', 1)
...   qa[question.rstrip(':')] = answers.splitlines()
...

    which gives

    {'How confident are you this project will meet these objectives?': ['High'],
 'If including external stakeholders, please note below': ['Res Ops'],
 'Is this a hard or soft deadline?': ['Hard'],
 'Name': ['Internal Requestor'],
 'Name of Project': ['Dummy Test Project'],
 'Please point Analytics expected involvement in projects': ['8'],
 "Please point Copy's expected involvement in the project": ['8'],
 "Please point DemandGen's expected involvement in the project": ['3'],
 "Please point Design's expected involvement in the project": ['8'],
 "Please point Guest's expected involvement in the project": ['1'],
 'Please point Internal Comms expected involvement in the project': ['5'],
 "Please point Martech's expected involvement in the project": ['8'],
 "Please point Owner's expected involvement in the project": ['8'],
 "Please point PR's expected involvement in the project": ['1'],
 "Please point SEO's expected involvement in the project": ['5'],
...
 'What is the strategy driving this project?': ['Efficiency is the name of the '
                                                'game!'],
 'What teams will be involved?': ['Content/SEO',
                                  'Creative',
                                  'Ops',
                                  'PR',
                                  'Internal Comms',
                                  'Social',
                                  'DemandGen',
                                  'Owner',
                                  'Guest',
                                  'External Stakeholders'],
...

    if you wanted to hardcode something so that single answers weren’t lists, you should decide that yourself, that seems ambiguous.
    You should also be careful of duplicate questions, etc.

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  3. 0

    I assume you have your string in a file, so if this is not the case just ignore the first row;

    file_as_string = ''.join(open('yourfile.txt').readlines())

outdict = {}
for i in file_as_string.split('nn'):
    s = i.split(':n')
    outdict[s[0]] = s[1]

    Results:

    {'Name': 'Internal Requestor',
 'Name of Project': 'Dummy Test Project',
 'Which Marketing O-Team does this project belong to?': 'Increase traffic',
 'Project Description': 'This is a project test to see if we can get the fields from this form into a dataframe',
 'What is the strategy driving this project?': 'Efficiency is the name of the game!',
 'What is the expected impact of the project?': 'Be more efficient than we currently are',
 'Please rank size of expected impact (H, M, L)': 'High',
 'What are the project objectives?': 'Be more efficientnClearer creative directionneasier to stack rank',
 'How confident are you this project will meet these objectives?': 'High',
 'Please point the size of this project': '8',
 'What teams will be involved?': 'Content/SEOnCreativenOpsnPRnInternal CommsnSocialnDemandGennOwnernGuestnExternal Stakeholders',
 'If including external stakeholders, please note below': 'Res Ops',
 'Please point the external stakeholders expected involvement in the project': '5',
 'Which content teams?': 'ContentnSEO',
 "Please point content's expected involvement in the project": '5',
 "Please point SEO's expected involvement in the project": '5',
 'Which creative teams?': 'DesignnCopy',
 "Please point Design's expected involvement in the project": '8',
 "Please point Copy's expected involvement in the project": '8',
 'Which Ops Teams?': 'AnalyticsnMartech',
 'Please point Analytics expected involvement in projects': '8',
 "Please point Martech's expected involvement in the project": '8',
 "Please point PR's expected involvement in the project": '1',
 'Please point Internal Comms expected involvement in the project': '5',
 "Please point Social's expected involvement in the project": '5',
 "Please point DemandGen's expected involvement in the project": '3',
 "Please point Owner's expected involvement in the project": '8',
 "Please point Guest's expected involvement in the project": '1',
 'Please provide project milestones': 'Scoping 9/19 - 9/20nExecution 9/21 - 9/25nLaunch 9/31',
 'Is this a hard or soft deadline?': 'Hard',
 'What is driving this deadline?': 'Efficiency',
 'Which manager approved this request submission?': 'Billy Bob'}
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