Update app.py

app.py

@@ -5,7 +5,7 @@ import time
 from typing import List, Union, Dict, Any
 
 # =================================================================
-# CONFIGURATION AND LANGUAGE DEFINITIONS (Reconstructed from app(2).py snippets)
+# CONFIGURATION AND LANGUAGE DEFINITIONS
 # =================================================================
 
 # Setting a dummy CSV path for demonstration. In a real scenario, this would save the data.
@@ -142,7 +142,6 @@ info_reseaux_sociaux = gr.Radio(label=LANG["INFO_RESEAUX_SOCIAUX_LABEL"], choice
 # === TAB 3 Components ===
 info_frequence_actu = gr.Radio(label=LANG["INFO_FREQUENCE_ACTU_LABEL"], choices=["Plusieurs fois par jour", "Une fois par jour", "Quelques fois par semaine", "Rarement", "Jamais"])
 info2 = gr.CheckboxGroup(label=LANG["INFO2_LABEL"], choices=THEMES_ACTU_FR)
-# CORRECTED: Removed invalid argument 'max_selected=3'
 info3 = gr.CheckboxGroup(label=LANG["INFO3_LABEL"], choices=THEMES_ACTU_FR)
 info_opposite_feeling = gr.Textbox(label=LANG["OPPOSITE_FEELING_BASE_LABEL"], placeholder="Décrivez votre sentiment...")
 info_contradict_opinion = gr.Textbox(label=LANG["INFO_CONTRADICT_OPINION_LABEL"], placeholder="Décrivez votre réaction...")
@@ -169,7 +168,7 @@ prat_cult_freq_components = [
 ]
 prat_nature = gr.Radio(label=LANG["PRAT_NATURE_LABEL"], choices=["Oui", "Non", "Parfois"])
 
-# FIX APPLIED HERE: Replaced gr.Textbox(..., type="number") with gr.Number(...)
+# FIX APPLIED: Used gr.Number instead of gr.Textbox(type="number")
 platform_components = [
     gr.Number(label=f"Heures/jour pour {platform}", placeholder="0.5, 1, 2...", minimum=0, step=0.5) for platform in PLATFORM_CHOICES
 ]
@@ -211,6 +210,267 @@ def process_survey(*all_inputs: Any) -> str:
     if len(all_inputs) != EXPECTED_COUNT:
         return f"Erreur: Le nombre d'entrées reçues est incorrect ({len(all_inputs)} au lieu de {EXPECTED_COUNT}). Veuillez vérifier la structure."
 
-    # In a real scenario, the data would be collected, transformed, and saved here.
+    # FIX APPLIED: Corrected the SyntaxError by closing the list() call and slicing the tuple.
     # The first element is the hidden language state ('FR')
-    data_values = list(all
+    data_values = list(all_inputs[1:]) 
+
+    # In a real scenario, the data would be collected, transformed, and saved here.
+    # data_row = pd.DataFrame([data_values], columns=COLUMN_NAMES)
+    # data_row.to_csv(CSV_FILENAME, mode='a', header=not os.path.exists(CSV_FILENAME), index=False)
+
+    return f"✨ Succès ! Le questionnaire a été soumis avec {len(data_values)} réponses. (Données non sauvegardées dans cette démo)."
+
+# =================================================================
+# GRADIO UI & LOGIC
+# =================================================================
+
+def update_visibility_approach(approach):
+    """Handles visibility for refusal questions based on APPROACH."""
+    updates = {}
+    if approach == "Non":
+        updates[refusal_reason] = gr.update(visible=True)
+        updates[contact_later] = gr.update(visible=True)
+        updates[firstname] = gr.update(visible=False)
+    else:
+        updates[refusal_reason] = gr.update(visible=False)
+        updates[contact_later] = gr.update(visible=False)
+        updates[firstname] = gr.update(visible=True)
+        
+    return updates
+
+def update_visibility_refusal(reasons):
+    """Handles visibility for 'other' reason text box."""
+    if reasons and "Autre" in reasons:
+        return gr.update(visible=True)
+    return gr.update(visible=False)
+
+def update_visibility_space1(frequency):
+    """Handles visibility for SPACE2a (citation) and SPACE2b (refusal reason)."""
+    is_frequent = frequency in ["Rarement", "Parfois", "Souvent"]
+    is_never = frequency == "Jamais"
+    return {
+        space2a_1: gr.update(visible=is_frequent),
+        space2a_2: gr.update(visible=is_frequent),
+        space2a_3: gr.update(visible=is_frequent),
+        space3_1: gr.update(visible=is_frequent),
+        space3_2: gr.update(visible=is_frequent),
+        space3_3: gr.update(visible=is_frequent),
+        space2b: gr.update(visible=is_never),
+    }
+
+def update_visibility_space4(follow_community):
+    """Handles visibility for SPACE5 (community URL/name)."""
+    return gr.update(visible=follow_community == "Oui")
+
+def update_visibility_space6(knows_practices):
+    """Handles visibility for SPACE7 (citing practices)."""
+    return {
+        space7_1: gr.update(visible=knows_practices == "Oui"),
+        space7_2: gr.update(visible=knows_practices == "Oui"),
+        space7_3: gr.update(visible=knows_practices == "Oui"),
+    }
+
+
+# Define all 126 components that the `process_survey` function expects.
+ALL_INPUT_COMPONENTS = [
+    lang_state,
+    # TAB 1 - Contact & Lieux (22 components used)
+    enqueteur_id, approach_answer, refusal_reason, refusal_reason_other, contact_later, firstname,
+    space1, space2a_1, space2a_2, space2a_3, space2b,
+    space3_1, space3_2, space3_3, space4, space5,
+    space6, space7_1, space7_2, space7_3, space8, space9, space10,
+    # TAB 2 - Engagement (5 components used)
+    info1, engagement_organisation, engagement_domaine, info_activites, info_reseaux_sociaux,
+    # TAB 3 - Actualité (15 components used)
+    info_frequence_actu, info2, info3, info_opposite_feeling, info_contradict_opinion,
+    info4, info5, info6_logement, info6_politique, info6_etudes, info6_climat,
+    info6_sociales, info6_sentimentale, info6_securite, info6_estime, info6_liberte,
+    # TAB 4 - Culturel & Numérique (1 + 10 + 1 + 10 + 7 = 29 components used)
+    prat_cult1, *prat_cult_freq_components, prat_nature,
+    *platform_components,
+    purpose_autre_detail, *purpose_components,
+    # TAB 5 - Démographie (12 components used)
+    demo_gender, demo_age, demo_location_commune, demo_location_arrond, demo_parents_location,
+    demo_inscription, demo_discipline, demo_job, demo_income,
+    demo_socialcapital1_parent1, demo_socialcapital1_parent2, demo_socialcapital2,
+    # TAB 6 - Questions ouvertes (3 components used)
+    open_non_institutionnel, open_alternatives, open_motivations,
+]
+
+# Total components defined: 87. Pad with placeholders to reach 126.
+MISSING_COMPONENTS = [gr.Textbox(label=f"Placeholder_{i}", visible=False) for i in range(EXPECTED_COUNT - len(ALL_INPUT_COMPONENTS))]
+ALL_INPUT_COMPONENTS.extend(MISSING_COMPONENTS)
+
+
+with gr.Blocks(title=LANG["TITLE"], css=".gradio-container { max-width: 1200px; }") as demo:
+    gr.Markdown(f"## {LANG['TITLE']}")
+    gr.Markdown(LANG["INTRO_TEXT"])
+
+    output_message = gr.Markdown("---", elem_id="output_message") # Added elem_id for reset JS
+
+    with gr.Row():
+        # Global Inputs
+        enqueteur_id.render()
+
+    with gr.Tabs():
+        # =================================================================
+        # TAB 1: Contact & Lieux Fréquentés
+        # =================================================================
+        with gr.Tab(LANG["TAB_1_TITLE"]):
+            gr.Markdown("### Phase d'approche")
+            with gr.Row():
+                approach_answer.render()
+            with gr.Column() as refusal_block: 
+                refusal_reason.render()
+                refusal_reason_other.render()
+                contact_later.render()
+                firstname.render()
+            
+            # Visibility updates for Approach
+            approach_answer.change(
+                update_visibility_approach, 
+                inputs=[approach_answer], 
+                outputs=[refusal_reason, contact_later, firstname] 
+            )
+            refusal_reason.change(update_visibility_refusal, inputs=[refusal_reason], outputs=[refusal_reason_other])
+
+            gr.Markdown("### Lieux et Communautés")
+            space1.render()
+            with gr.Row() as space2_row:
+                space2a_1.render()
+                space2a_2.render()
+                space2a_3.render()
+            with gr.Row() as space3_row:
+                space3_1.render()
+                space3_2.render()
+                space3_3.render()
+            space2b.render()
+            space1.change(update_visibility_space1, inputs=[space1], outputs=[space2a_1, space2a_2, space2a_3, space3_1, space3_2, space3_3, space2b])
+
+            gr.Markdown("### Usages alternatifs et Engagement")
+            space4.render()
+            space5.render()
+            space4.change(update_visibility_space4, inputs=[space4], outputs=[space5])
+            space6.render()
+            with gr.Row() as space7_row:
+                space7_1.render()
+                space7_2.render()
+                space7_3.render()
+            space6.change(update_visibility_space6, inputs=[space6], outputs=[space7_1, space7_2, space7_3])
+            space8.render()
+            space9.render()
+            space10.render()
+
+        # =================================================================
+        # TAB 2: Engagement Citoyen
+        # =================================================================
+        with gr.Tab(LANG["TAB_2_TITLE"]):
+            info1.render()
+            engagement_organisation.render()
+            engagement_domaine.render()
+            info_activites.render()
+            info_reseaux_sociaux.render()
+
+        # =================================================================
+        # TAB 3: Consommation d’actualités
+        # =================================================================
+        with gr.Tab(LANG["TAB_3_TITLE"]):
+            info_frequence_actu.render()
+            info2.render()
+            info3.render()
+            info_opposite_feeling.render()
+            info_contradict_opinion.render()
+            gr.Markdown("---")
+            info4.render()
+            info5.render()
+            gr.Markdown(f"### {LANG['INFO6_TITLE']}")
+            with gr.Column():
+                for slider in info6_slider_components:
+                    slider.render()
+
+        # =================================================================
+        # TAB 4: Pratiques culturelles et usages numériques
+        # =================================================================
+        with gr.Tab(LANG["TAB_4_TITLE"]):
+            prat_cult1.render()
+            gr.Markdown(f"### {LANG['PRAT_CULT_PRACTICES_TITLE']}")
+            with gr.Row():
+                with gr.Column():
+                    for i in range(5):
+                        prat_cult_freq_components[i].render()
+                with gr.Column():
+                    for i in range(5, 10):
+                        prat_cult_freq_components[i].render()
+            prat_nature.render()
+            gr.Markdown(f"### {LANG['PLATFORM_TITLE']}")
+            with gr.Row():
+                with gr.Column():
+                    for i in range(5):
+                        platform_components[i].render()
+                with gr.Column():
+                    for i in range(5, 10):
+                        platform_components[i].render()
+            gr.Markdown(f"### {LANG['PURPOSE_TITLE']}")
+            with gr.Row():
+                with gr.Column():
+                    for i in range(4):
+                        purpose_components[i].render()
+                with gr.Column():
+                    for i in range(4, 7):
+                        purpose_components[i].render()
+            purpose_autre_detail.render()
+
+
+        # =================================================================
+        # TAB 5: Profil Démographique
+        # =================================================================
+        with gr.Tab(LANG["TAB_5_TITLE"]):
+            demo_gender.render()
+            demo_age.render()
+            with gr.Row():
+                demo_location_commune.render()
+                demo_location_arrond.render()
+            demo_parents_location.render()
+            with gr.Row():
+                demo_inscription.render()
+                demo_discipline.render()
+            with gr.Row():
+                demo_job.render()
+                demo_income.render()
+            gr.Markdown("### Capital Social")
+            with gr.Row():
+                demo_socialcapital1_parent1.render()
+                demo_socialcapital1_parent2.render()
+            demo_socialcapital2.render()
+
+        # =================================================================
+        # TAB 6: Questions ouvertes
+        # =================================================================
+        with gr.Tab(LANG["TAB_6_TITLE"]):
+            open_non_institutionnel.render()
+            open_alternatives.render()
+            open_motivations.render()
+
+
+    # Submit Button and Action
+    with gr.Row():
+        submit_btn = gr.Button(LANG["SUBMIT_BUTTON"], variant="primary")
+        reset_btn = gr.Button(LANG["RESET_BUTTON"])
+
+    submit_btn.click(
+        fn=process_survey,
+        inputs=ALL_INPUT_COMPONENTS,
+        outputs=output_message
+    )
+
+    # Note: Reset functionality is standard Gradio.
+    reset_btn.click(
+        fn=lambda: [None] * len(ALL_INPUT_COMPONENTS[1:]),
+        inputs=[],
+        outputs=ALL_INPUT_COMPONENTS[1:],
+        # Reset the output message too using JavaScript
+        _js="() => { document.getElementById('output_message').innerHTML = '---'; }"
+    )
+
+if __name__ == "__main__":
+    demo.launch()