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Update app.py
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app.py
CHANGED
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@@ -4,52 +4,8 @@ import random
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import json
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import mysql.connector
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import json
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import requests
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import urllib.parse
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import urllib.request
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def fetch_data_as_json():
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# Connect to the database
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conn = mysql.connector.connect(
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host="18.153.94.89",
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user="root",
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password="N12RXMKtKxRj",
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database="lionessdb"
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)
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# Create a cursor object
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cursor = conn.cursor()
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# Execute the SQL query
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query = "SELECT playerNr, subjectNr, initialCredit, transfer1, tripledAmount1, keptForSelf1, returned1, " \
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"newCreditRound2, transfer2, tripledAmount2, keptForSelf2, returned2, results2rounds, " \
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"newCreditRound3, transfer3, tripledAmount3, keptForSelf3, returned3, results3rounds FROM e5390g37096_decisions"
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cursor.execute(query)
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# Fetch all rows and convert to a list of dictionaries
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rows = cursor.fetchall()
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result = []
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for row in rows:
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d = {}
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for i, col in enumerate(cursor.description):
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d[col[0]] = row[i]
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result.append(d)
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# Convert the list of dictionaries to JSON
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json_result = json.dumps(result)
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# Close the database connection
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conn.close()
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# Return the JSON result
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return json_result
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# Call the function to fetch data as JSON
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json_result = fetch_data_as_json()
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# Print or use the json_result variable as needed
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print(json_result)
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get_window_url_params = """
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function() {
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@@ -69,6 +25,49 @@ get_window_session_index = """
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# get url params out of JavaScript function as variables and pass the session_index to fetch_personalized_data() function
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def fetch_personalized_data(session_index):
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# Connect to the database
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@@ -131,51 +130,6 @@ def fetch_personalized_data(session_index):
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# Return the JSON result
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return personalized_result
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with gr.Blocks() as demo:
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gr.Markdown("""## Gradio send queryparam to chatbot
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type `read query`
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""")
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url_params = gr.JSON({}, visible=False, label="URL Params")
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chatbot = gr.Chatbot().style(height=500)
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msg = gr.Textbox()
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clear = gr.Button("Clear")
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def user(user_message, url_params, history):
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return "", history + [[user_message, None]]
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def bot(history, url_params):
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if "read query" in history[-1][0]:
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session_index = url_params.get('session_index')
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personalized_data = fetch_personalized_data(session_index)
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bot_message = f"""
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here your URL params:
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{json.dumps(url_params, indent=4)}
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"""
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print(url_params)
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else:
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bot_message = random.choice(["Yes", "No"])
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history[-1][1] = bot_message
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time.sleep(1)
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return history
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msg.submit(user, inputs=[msg, url_params, chatbot], outputs=[msg, chatbot], queue=False).then(
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fn=bot, inputs=[chatbot, url_params], outputs=[chatbot]
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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demo.load(
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fn=lambda x: x,
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inputs=[url_params],
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outputs=[url_params],
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_js=get_window_url_params,
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queue=False
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)
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demo.launch()
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# Call the function to fetch data as JSON
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personalized_data = fetch_personalized_data()
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@@ -183,11 +137,6 @@ personalized_data = fetch_personalized_data()
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print(personalized_data)
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'''
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WHERE {decisions_table}.session_index = '{session_index}'
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import json
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import mysql.connector
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import json
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session_index = None
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get_window_url_params = """
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function() {
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# get url params out of JavaScript function as variables and pass the session_index to fetch_personalized_data() function
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with gr.Blocks() as demo:
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gr.Markdown("""## Gradio send queryparam to chatbot
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type `read query`
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""")
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url_params = gr.JSON({}, visible=False, label="URL Params")
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chatbot = gr.Chatbot().style(height=500)
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msg = gr.Textbox()
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clear = gr.Button("Clear")
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def user(user_message, url_params, history):
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return "", history + [[user_message, None]]
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def bot(history, url_params):
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global session_index
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if "read query" in history[-1][0]:
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session_index = url_params.get('session_index')
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personalized_data = fetch_personalized_data(session_index)
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bot_message = f"""
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here your URL params:
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{json.dumps(url_params, indent=4)}
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"""
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print(url_params)
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else:
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bot_message = random.choice(["Yes", "No"])
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history[-1][1] = bot_message
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time.sleep(1)
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return history
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msg.submit(user, inputs=[msg, url_params, chatbot], outputs=[msg, chatbot], queue=False).then(
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fn=bot, inputs=[chatbot, url_params], outputs=[chatbot]
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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demo.load(
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fn=lambda x: x,
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inputs=[url_params],
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outputs=[url_params],
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_js=get_window_url_params,
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queue=False
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)
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demo.launch()
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def fetch_personalized_data(session_index):
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# Connect to the database
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# Return the JSON result
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return personalized_result
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# Call the function to fetch data as JSON
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personalized_data = fetch_personalized_data()
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print(personalized_data)
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'''
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WHERE {decisions_table}.session_index = '{session_index}'
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