| def generate_json(form_state): |
|
|
| |
|
|
| dataModel = { |
| "name": None, |
| "description": None, |
| "organizations": [], |
| "targetCommunities": [], |
| "bodies": [], |
| "governance": [], |
| "socialContexts":[], |
| "adaptations":[], |
| "participants":[], |
| "teams":[] |
| } |
|
|
| targetCommunities = { |
| "id": None, |
| "startingAgeRange": None, |
| "endingAgeRange": None, |
| "ethnicities": [], |
| "genders": [], |
| "spokenLanguages": [ |
| {"language": None, "proficiency": None} |
| ], |
| "socioEconomicStati": [], |
| "skillLevels": [], |
| "averageTenure": None |
| } |
| bodies = { |
|
|
| } |
| dataModel = { |
| "name": None, |
| "description": None, |
| "organizations": [], |
| "targetCommunities": [ |
| { |
| "id": None, |
| "startingAgeRange": None, |
| "endingAgeRange": None, |
| "ethnicities": [], |
| "genders": [], |
| "spokenLanguages": [ |
| {"language": None, "proficiency": None} |
| ], |
| "socioEconomicStati": [], |
| "skillLevels": [], |
| "averageTenure": None |
| }, |
| { |
| "id": None, |
| "startingAgeRange": None, |
| "endingAgeRange": None, |
| "ethnicities": [], |
| "genders": [], |
| "spokenLanguages": [ |
| {"language": None, "proficiency": None} |
| ], |
| "socioEconomicStati": [], |
| "skillLevels": [], |
| "averageTenure": None |
| } |
| ], |
| "bodies": [ |
| { |
| "id": None, |
| "description": None, |
| "type": None |
| }, |
| { |
| "id": None, |
| "description": None, |
| "type": None |
| } |
| ], |
| "governances": [ |
| { |
| "id": None, |
| "projectType": None |
| } |
| ], |
| "socialContexts": [], |
| "useCases": [], |
| "adaptations": [ |
| { |
| "id": None, |
| "description": None, |
| "useCases": [], |
| "targetCommunities": [], |
| "relatedTeams": [] |
| }, |
| { |
| "id": None, |
| "description": None, |
| "useCases": [], |
| "targetCommunities": [], |
| "relatedTeams": [] |
| } |
| ], |
| "participants": [ |
| { |
| "id": None, |
| "age": None, |
| "location": None, |
| "workplaceType": None, |
| "ethnicity": None, |
| "gender": None, |
| "disabilities": [], |
| "sexualOrientation": None, |
| "religion": None, |
| "country": None, |
| "spokenLanguages": [ |
| {"language": None, "proficiency": None} |
| ], |
| "socioEconomicStatus": None, |
| "skillLevel": None, |
| "tenure": None |
| } |
| ], |
| "teams": [ |
| { |
| "id": None, |
| "type": None, |
| "description": None, |
| "startingAgeRange": None, |
| "endingAgeRange": None, |
| "locations": [], |
| "workplaceType": None, |
| "ethnicities": [], |
| "genders": [], |
| "disabilities": [], |
| "sexualOrientations": [], |
| "religiousBeliefs": [], |
| "countries": [], |
| "educationalLevels": [], |
| "spokenLanguages": [ |
| {"language": None, "proficiency": None} |
| ], |
| "socioEconomicStati": [], |
| "skillLevels": [], |
| "averageTenure": None, |
| "startDate": None, |
| "endDate": None, |
| "teamSize": None, |
| "iterations": None, |
| "participants": [] |
| }, |
| { |
| "id": None, |
| "type": None, |
| "description": None, |
| "startingAgeRange": None, |
| "endingAgeRange": None, |
| "locations": [], |
| "workplaceType": None, |
| "ethnicities": [], |
| "genders": [], |
| "disabilities": [], |
| "sexualOrientations": [], |
| } |
| ] |
| } |
| |
|
|
|
|
| return dataModel |
|
|
|
|
| def unflatten(flat_dict): |
| nested = {} |
| for flat_key, value in flat_dict.items(): |
| keys = flat_key.split('_') |
| current = nested |
| for i, key in enumerate(keys): |
| |
| if i < len(keys) - 1: |
| if key in current: |
| |
| if not isinstance(current[key], dict): |
| current[key] = {} |
| else: |
| current[key] = {} |
| current = current[key] |
| else: |
| |
| current[key] = value |
| return nested |
|
|
|
|
