Update app.py

app.py

@@ -1,13 +1,85 @@
+import networkx as nx
+import matplotlib.pyplot as plt
+import json
+import textwrap
+import requests
+import pandas as pd
+import os
 import gradio as gr
-from utils_gdmk import (
-    inicializar_grafo, visualizar_grafo, agregar_aporte
-)
 
 students = ["Alice", "Bob", "Charlie"]  
 
 # Initialize graph before launching UI
 inicializar_grafo()
 
+api_key = os.getenv("AIRT_KEY")
+AIRT_DBASEx = os.getenv("AIRT_DBASE")
+AIRT_TABLEx = os.getenv("AIRT_TABLE")
+
+G = nx.DiGraph()
+
+url = f"https://api.airtable.com/v0/{AIRT_DBASEx}/{AIRT_TABLEx}"
+headers = {
+    "Authorization": f"Bearer {api_key}",
+    "Content-Type": "application/json"
+}
+
+def cargar_desde_airtable():
+    response = requests.get(url, headers=headers)
+    
+    if response.status_code != 200:
+        print(f"Error: {response.status_code} - {response.text}")
+        return pd.DataFrame(columns=["Nombre", "Conceptos"])
+    records = response.json().get("records", [])
+    aportes = [
+        [record["fields"].get("Nombre", ""), 
+         record["fields"].get("Conceptos", "")] for record in records
+    ]
+    return pd.DataFrame(aportes, columns=["Nombre", "Conceptos"])
+
+def inicializar_grafo():
+    df = cargar_desde_airtable()
+    for _, row in df.iterrows():
+        nombre, conceptos = row["Nombre"], row["Conceptos"]
+        for termino in conceptos:
+            if not G.has_node(termino):
+                G.add_node(termino, color='gray')
+            if not G.has_edge(nombre, termino):
+                G.add_edge(norma, enfoque)
+
+def guardar_en_airtable(nombre, conceptos): 
+    data = {"fields": {"Nombre": nombre, "Conceptos": conceptos}}
+    requests.post(url, headers=headers, json=data)
+
+def agregar_aporte(nombre, enfoque, norma, texto):
+    textox = wrap_text(f"{nombre}: {texto}")
+    
+    if not G.has_node(norma):
+        G.add_node(norma, color='gray')
+    if not G.has_edge(norma, enfoque):
+        G.add_edge(norma, enfoque, label=textox)
+
+    guardar_en_airtable(nombre, enfoque, norma, texto)  
+    return visualizar_grafo()
+
+def visualizar_grafo():
+    plt.figure(figsize=(10, 6))
+    pos = nx.spring_layout(G)
+
+    edge_labels = nx.get_edge_attributes(G, 'label')
+    
+    nx.draw(G, pos, with_labels=True, node_color='lightblue', edge_color='gray', node_size=2000, font_size=10)
+    nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels, font_size=8)
+
+    plt.title("Red de Aportes")
+    plt.savefig("graph.png")
+    plt.close()
+    return "graph.png"
+
+
+
+
+
 def chat_interface(student, message):
     """Handles chat messages, processes them, and updates AirTable."""
     graph_image = create_graph(student, message)