JSON now is generated with proper structure

jsonGenerator.py

@@ -0,0 +1,190 @@
+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):
+            # For intermediate keys, ensure the container is a dict.
+            if i < len(keys) - 1:
+                if key in current:
+                    # If current[key] exists but isn't a dict, replace it.
+                    if not isinstance(current[key], dict):
+                        current[key] = {}
+                else:
+                    current[key] = {}
+                current = current[key]
+            else:
+                # Last key: assign the value.
+                current[key] = value
+    return nested
+

sdc_view.py

@@ -6,6 +6,7 @@ import datetime
 import urllib.parse
 import os
 from markdownGenerator import *
+from jsonGenerator import *
 
 
 
@@ -256,10 +257,17 @@ def render_sdc():
     ##
     col1, col2 = st.columns([8, 2])
     with col1:
-        st.title("The Software Diversity Card :woman_and_man_holding_hands: :memo:")
+        st.title("The Software Diversity Card Generator :busts_in_silhouette: ")
     with col2:
         # Theme options
         themes = {
+      
+            "Light": {
+                "primaryColor": "#4CAF50",
+                "backgroundColor": "#FFFFFF",
+                "secondaryBackgroundColor": "#F0F2F6",
+                "textColor": "#262730",
+            },
             "Cool Blue": {
                 "primaryColor" : "#007ACC",         # A vibrant, clear blue
                 "backgroundColor" : "#E6F7FF" ,       # A light, airy blue for a fresh feel
@@ -267,12 +275,6 @@ def render_sdc():
                 "textColor" : "#003366" ,             # Deep navy for contrast
                 "font" : "sans serif",
             },
-            "Light": {
-                "primaryColor": "#4CAF50",
-                "backgroundColor": "#FFFFFF",
-                "secondaryBackgroundColor": "#F0F2F6",
-                "textColor": "#262730",
-            },
             "Dark": {
                 "primaryColor": "#BB86FC",
                 "backgroundColor": "#121212",
@@ -333,11 +335,11 @@ def render_sdc():
         ])
 
         with governance:
-            col1, col2 = st.columns([1, 2])
-            with col1:
+            col1, col2 = st.columns([3, 2])
+            with col2:
                 #cached_text_input("Project Type", "governance_projectType", "Specify the type of software project (private, public funded, non-profit, driven by an open-source community, etc.)")
                 cached_multiple_radio("governance_projectType",["public funded", "research", "private", "private non-profit", "driven by open-source community", "citizen science"],"Specify the type of software project")
-            with col2:
+            with col1:
                 # Multiple value
                 key = "governance_govProcesses"
                 init_state(key)
@@ -346,15 +348,15 @@ def render_sdc():
                 if st.button("Add governament processes"):
                     add_text_area(key)
                 # Loop over the array and create a text area with a remove button for each element
-                for idx, processes in enumerate(st.session_state[key]):
-                    # Create two columns: one for the text area, one for the remove button
-                    col1, col2 = st.columns([6, 1])
-                    with col1:
-                        cached_text_area(f"Governament process {idx + 1}", f"governance_govProcesses{idx}", "Specific the governance rules of the software project. For instance, the funders, or the role and the relation between the different bodies that governs the software.")
-                    with col2:
-                       # print(st.session_state['governance_govProcesses_remove_0'])
-                        if st.button("Remove", key=f"remove_{key}_{idx}"):
-                            remove_text_area(idx,key)
+            for idx, processes in enumerate(st.session_state[key]):
+                # Create two columns: one for the text area, one for the remove button
+                col1, col2 = st.columns([6, 1])
+                with col1:
+                    cached_text_area(f"Governament process {idx + 1}", f"governance_govProcesses_{idx}", "Specific the governance rules of the software project. For instance, the funders, or the role and the relation between the different bodies that governs the software.")
+                with col2:
+                    # print(st.session_state['governance_govProcesses_remove_0'])
+                    if st.button("Remove", key=f"remove_{key}_{idx}"):
+                        remove_text_area(idx,key)
 
             # BODIES
             st.write("Add the different types of governament bodies of your software project (boards and funders)")
@@ -367,16 +369,17 @@ def render_sdc():
             for idx, text in enumerate(st.session_state[key]):
                 # Create two columns: one for the text area, one for the remove button
                 with st.container(border=True):
-                    col1, col2 = st.columns([2, 2])
+                    col1, col2 = st.columns([3, 2])
                     with col1:
                         cached_text_input("Body name", f"{key}_{idx}_name", "The name of id of the body")
                         cached_text_area("Body description", f"{key}_{idx}_description", "A description of the body")
                     
 
                     with col2:
+                        cached_multiple_radio(f"{key}_{idx}_type", ['funders', 'directors', 'administrators', 'other'], f"Body role type" )
                         if st.button("Remove", key=f"{key}_remove_{idx}"):
                           remove_text_area(idx,f"{key}_remove_{idx}")
-                        cached_multiple_radio(f"{key}_{idx}_type", ['funders', 'directors', 'administrators', 'other'], f"Body role type" )
+                      
 
                     with  st.expander("If needed provide detailed information about the organizations or individuals involved in the governance", expanded=False):
                     # Button to add a new text area
@@ -465,6 +468,7 @@ def render_sdc():
             )
             # Display the session state as pretty JSON
             #st.json(serialize_session_state())
+            final = unflatten(st.session_state["form_data"])
             st.text("Preview:")
-            st.json(st.session_state["form_data"])
+            st.json(final)
          

session_state.json

@@ -1 +1 @@
-{"master_title": "Besser", "master_desc": "The BESSER low-code platform is built on top of B-UML our  Python-based personal interpretation of a 'Universal Modeling Language' (yes, heavily inspired and a simplified version of the better known UML,  the Unified Modeling Language) ", "socialContext_description": "Besser is inteded to be used by a broad community of app developers without the need of having coding skills.", "socialContext_targetCommunity_name": "Teacher and student of computer science", "socialContext_targetCommunity_description": "Teacher and student of computer science", "socialContext_targetCommunity_age": [17, 120], "socialContext_targetCommunity_location": "University and education places", "socialContext_targetCommunity_workplace": "Hybrid", "socialContext_targetCommunity_ethnicities": "", "socialContext_targetCommunity_genders": "", "socialContext_targetCommunity_disabilities": "", "socialContext_targetCommunity_religious": "", "socialContext_adaptation_name": "Computer Science Teachers", "socialContext_adaptation_description": "The software have been adapted for its specific use in educational environments", "participants_0_name": "Development Team", "participants_0_description": "The team in charge of developing the software", "participants_0_size": 15, "participants_0_age": [25, 36], "participants_0_location": "Luxembourg Institute of Technoogy", "participants_0_workplace": "Presential", "participants_0_ethnicities": "Colombian,Brasilian, Argentinian, French ,Spanish, Pakistani, Serbian, Iranian, Morroco, Italian", "participants_0_genders": "80% male, 20% famela", "participants_0_disabilities": "Non", "participants_0_religious": "Christianism, Islam", "governance_projectType": ["public funded"], "governance_govProcesses0": "Besser is funded by the Luxembourg\u2019s National Research Fund (FNR) is the country\u2019s main agency for funding research across all scientific fields.", "governance_govProcesses1": "The project is led by the recipient of the funds, its principal investigator.", "governance_bodies_0_name": "Luxembourg\u2019s National Research Fund (FNR)", "governance_bodies_0_description": "Luxembourg\u2019s National Research Fund (FNR) is the country\u2019s main agency for funding research across all scientific fields.", "governance_bodies_0_participant_name": "", "governance_bodies_0_participant_location": "", "governance_bodies_0_participant_workdplace": "Presential", "governance_bodies_0_participant_ethincity": "", "governance_bodies_0_participant_gender": "", "governance_bodies_0_participant_disabilities": "", "governance_bodies_0_participant_sexualOrientation": "", "governance_bodies_0_participant_religion": "", "governance_bodies_0_organization_name": "", "governance_bodies_0_organization_age": [10, 20], "governance_bodies_0_organization_location": "", "governance_bodies_0_organization_workplace": "Presential", "governance_bodies_0_organization_ethnicities": "", "governance_bodies_0_organization_genders": "", "governance_bodies_0_organization_disabilities": "", "governance_bodies_0_organization_religious": "", "governance_bodies_0_type": ["funders"], "governance_bodies_1_name": "Principal Investigator", "governance_bodies_1_description": "The PI who lead the project ", "governance_bodies_1_participant_name": "Jordi Cabot", "governance_bodies_1_participant_location": "Luxembourg Institute of Science and Technology", "governance_bodies_1_participant_workdplace": "Presential", "governance_bodies_1_participant_ethincity": "White", "governance_bodies_1_participant_gender": "Male", "governance_bodies_1_participant_disabilities": "None", "governance_bodies_1_participant_sexualOrientation": "Non-disclosed", "governance_bodies_1_participant_religion": "Non-disclosed", "governance_bodies_1_organization_name": "", "governance_bodies_1_organization_age": [10, 20], "governance_bodies_1_organization_location": "", "governance_bodies_1_organization_workplace": "Presential", "governance_bodies_1_organization_ethnicities": "", "governance_bodies_1_organization_genders": "", "governance_bodies_1_organization_disabilities": "", "governance_bodies_1_organization_religious": "", "governance_bodies_1_type": ["directors"], "governance_bodies_1_participant": 25.0, "governance_bodies_1_participant_countries": [], "governance_bodies_1_participant_edlevel": [], "governance_bodies_1_participant_sociostati": [], "governance_bodies_1_participant_skills": ["expert"], "governance_bodies_1_participant_languages": [], "socialContext_countries": ["Luxembourg", "France", "Germany", "Spain"], "socialContext_targetCommunity_countries": ["Luxembourg", "France"], "socialContext_targetCommunity_skills": ["beginner", "competent"], "participants_0_type": ["Tester Team"], "participants_0_countries": [], "participants_0_edlevel": [], "participants_0_skills": [], "participants_1_name": "Usability test team", "participants_1_description": "Tester are student of the computer science degree at the Luxembourg University. Using the backend generator from scratch with the documentation of BESSER (with a given PlantUML, library model)\n Using ChatGPT4o only giving the PlantUML model and no hand coding", "participants_1_size": 22, "participants_1_age": [20, 22], "participants_1_location": "University of Luxembourg", "participants_1_workplace": "Presential", "participants_1_ethnicities": "French", "participants_1_genders": "", "participants_1_disabilities": "", "participants_1_religious": "", "participants_1_type": ["Tester Team"], "participants_1_countries": [], "participants_1_edlevel": [], "participants_1_skills": [], "governance_bodies_1_organization": 25.0, "socialContext_targetCommunity_languages": ["French", "Luxembourgish-Letzeburgesch", "English"], "participants_0_languages": [], "participants_1_languages": []}
+{"master_title": "Besser", "master_desc": "The BESSER low-code platform is built on top of B-UML our  Python-based personal interpretation of a 'Universal Modeling Language' (yes, heavily inspired and a simplified version of the better known UML,  the Unified Modeling Language) ", "socialContext_description": "Besser is inteded to be used by a broad community of app developers without the need of having coding skills.", "socialContext_targetCommunity_name": "Teacher and student of computer science", "socialContext_targetCommunity_description": "Teacher and student of computer science", "socialContext_targetCommunity_age": [17, 120], "socialContext_targetCommunity_location": "University and education places", "socialContext_targetCommunity_workplace": "Hybrid", "socialContext_targetCommunity_ethnicities": "", "socialContext_targetCommunity_genders": "", "socialContext_targetCommunity_disabilities": "", "socialContext_targetCommunity_religious": "", "socialContext_adaptation_name": "Computer Science Teachers", "socialContext_adaptation_description": "The software have been adapted for its specific use in educational environments", "participants_0_name": "Development Team", "participants_0_description": "The team in charge of developing the software", "participants_0_size": 15, "participants_0_age": [25, 36], "participants_0_location": "Luxembourg Institute of Technoogy", "participants_0_workplace": "Presential", "participants_0_ethnicities": "Colombian,Brasilian, Argentinian, French ,Spanish, Pakistani, Serbian, Iranian, Morroco, Italian", "participants_0_genders": "80% male, 20% famela", "participants_0_disabilities": "Non", "participants_0_religious": "Christianism, Islam", "governance_projectType": ["public funded"], "governance_govProcesses_0": "Besser is funded by the Luxembourg\u2019s National Research Fund (FNR) is the country\u2019s main agency for funding research across all scientific fields.", "governance_govProcesses_1": "The project is led by the recipient of the funds, its principal investigator.", "governance_bodies_0_name": "Luxembourg\u2019s National Research Fund (FNR)", "governance_bodies_0_description": "Luxembourg\u2019s National Research Fund (FNR) is the country\u2019s main agency for funding research across all scientific fields.", "governance_bodies_0_participant_name": "", "governance_bodies_0_participant_location": "", "governance_bodies_0_participant_workdplace": "Presential", "governance_bodies_0_participant_ethincity": "", "governance_bodies_0_participant_gender": "", "governance_bodies_0_participant_disabilities": "", "governance_bodies_0_participant_sexualOrientation": "", "governance_bodies_0_participant_religion": "", "governance_bodies_0_organization_name": "", "governance_bodies_0_organization_age": [10, 20], "governance_bodies_0_organization_location": "", "governance_bodies_0_organization_workplace": "Presential", "governance_bodies_0_organization_ethnicities": "", "governance_bodies_0_organization_genders": "", "governance_bodies_0_organization_disabilities": "", "governance_bodies_0_organization_religious": "", "governance_bodies_0_type": ["funders"], "governance_bodies_1_name": "Principal Investigator", "governance_bodies_1_description": "The PI who lead the project ", "governance_bodies_1_participant_name": "Jordi Cabot", "governance_bodies_1_participant_location": "Luxembourg Institute of Science and Technology", "governance_bodies_1_participant_workdplace": "Presential", "governance_bodies_1_participant_ethincity": "White", "governance_bodies_1_participant_gender": "Male", "governance_bodies_1_participant_disabilities": "None", "governance_bodies_1_participant_sexualOrientation": "Non-disclosed", "governance_bodies_1_participant_religion": "Non-disclosed", "governance_bodies_1_organization_name": "", "governance_bodies_1_organization_age": [10, 20], "governance_bodies_1_organization_location": "", "governance_bodies_1_organization_workplace": "Presential", "governance_bodies_1_organization_ethnicities": "", "governance_bodies_1_organization_genders": "", "governance_bodies_1_organization_disabilities": "", "governance_bodies_1_organization_religious": "", "governance_bodies_1_type": ["directors"], "governance_bodies_1_participant": 25.0, "governance_bodies_1_participant_countries": [], "governance_bodies_1_participant_edlevel": [], "governance_bodies_1_participant_sociostati": [], "governance_bodies_1_participant_skills": ["expert"], "governance_bodies_1_participant_languages": [], "socialContext_countries": ["Luxembourg", "France", "Germany", "Spain"], "socialContext_targetCommunity_countries": ["Luxembourg", "France"], "socialContext_targetCommunity_skills": ["beginner", "competent"], "participants_0_type": ["Tester Team"], "participants_0_countries": [], "participants_0_edlevel": [], "participants_0_skills": [], "participants_1_name": "Usability test team", "participants_1_description": "Tester are student of the computer science degree at the Luxembourg University. Using the backend generator from scratch with the documentation of BESSER (with a given PlantUML, library model)\n Using ChatGPT4o only giving the PlantUML model and no hand coding", "participants_1_size": 22, "participants_1_age": [20, 22], "participants_1_location": "University of Luxembourg", "participants_1_workplace": "Presential", "participants_1_ethnicities": "French", "participants_1_genders": "", "participants_1_disabilities": "", "participants_1_religious": "", "participants_1_type": ["Tester Team"], "participants_1_countries": [], "participants_1_edlevel": [], "participants_1_skills": [], "governance_bodies_1_organization": 25.0, "socialContext_targetCommunity_languages": ["French", "Luxembourgish-Letzeburgesch", "English"], "participants_0_languages": [], "participants_1_languages": [], "governance_bodies_2_name": "", "governance_bodies_2_description": "", "governance_bodies_2_participant_name": "", "governance_bodies_2_participant_location": "", "governance_bodies_2_participant_workdplace": "Presential", "governance_bodies_2_participant_ethincity": "", "governance_bodies_2_participant_gender": "", "governance_bodies_2_participant_disabilities": "", "governance_bodies_2_participant_sexualOrientation": "", "governance_bodies_2_participant_religion": "", "governance_bodies_2_organization_name": "", "governance_bodies_2_organization_age": [10, 20], "governance_bodies_2_organization_location": "", "governance_bodies_2_organization_workplace": "Presential", "governance_bodies_2_organization_ethnicities": "", "governance_bodies_2_organization_genders": "", "governance_bodies_2_organization_disabilities": "", "governance_bodies_2_organization_religious": ""}