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Update app.py
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app.py
CHANGED
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@@ -4,7 +4,7 @@ from stock import *
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import pandas as pd
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# ======================================================
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# Scrollable HTML wrapper
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# ======================================================
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SCROLL_WRAP = """
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<div style="
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@@ -40,31 +40,20 @@ INDEX_REQ = [
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# ======================================================
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# Update Dropdown + Symbol
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# ======================================================
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def update_on_mode(mode
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# Default: hide date field
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date_field_update = gr.update(visible=False, value="")
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if mode == "stock":
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return (
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gr.update(choices=STOCK_REQ, value="info"
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gr.update(value="ITC", placeholder="Enter stock symbol")
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date_field_update
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)
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elif mode == "index":
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if req_type_val == "nse_bhav":
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date_field_update = gr.update(visible=True, placeholder="Enter date (DD-MM-YYYY)")
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return dropdown_update, symbol_update, date_field_update
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return gr.update(visible=False), gr.update(value=""), date_field_update
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# ======================================================
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@@ -73,6 +62,7 @@ def update_on_mode(mode, req_type_val):
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def fetch_data(mode, req_type, symbol, date_str):
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req_type = req_type.lower()
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symbol = symbol.strip()
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if mode == "index":
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if req_type == "nse_indices":
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@@ -86,8 +76,8 @@ def fetch_data(mode, req_type, symbol, date_str):
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elif req_type == "nse_future":
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return wrap(nse_future(symbol))
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elif req_type == "nse_bhav":
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# Use
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date_input = date_str
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return wrap(nse_bhav(date_input))
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elif req_type == "nse_highlow":
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return wrap(nse_highlow())
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@@ -155,7 +145,6 @@ with gr.Blocks(title="Stock / Index App") as iface:
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label="Date",
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value="",
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placeholder="DD-MM-YYYY",
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visible=False,
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scale=1
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)
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@@ -163,18 +152,14 @@ with gr.Blocks(title="Stock / Index App") as iface:
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output = gr.HTML(label="Output")
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#
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mode_input.change(
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update_on_mode,
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inputs=
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outputs=[req_type, symbol
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)
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req_type.change(
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update_on_mode,
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inputs=[mode_input, req_type],
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outputs=[req_type, symbol, date_field]
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)
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# Fetch button
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btn.click(fetch_data, inputs=[mode_input, req_type, symbol, date_field], outputs=output)
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import pandas as pd
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# ======================================================
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+
# Scrollable HTML wrapper
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# ======================================================
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SCROLL_WRAP = """
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<div style="
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# ======================================================
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# Update Dropdown + Symbol
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# ======================================================
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def update_on_mode(mode):
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if mode == "stock":
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return (
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gr.update(choices=STOCK_REQ, value="info"),
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gr.update(value="ITC", placeholder="Enter stock symbol")
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)
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elif mode == "index":
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return (
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gr.update(choices=INDEX_REQ, value="nse_indices"),
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gr.update(value="NIFTY 50", placeholder="Enter index name or leave blank for today bhavcopy")
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)
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return gr.update(visible=False), gr.update(value="")
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# ======================================================
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def fetch_data(mode, req_type, symbol, date_str):
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req_type = req_type.lower()
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symbol = symbol.strip()
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date_str = date_str.strip()
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if mode == "index":
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if req_type == "nse_indices":
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elif req_type == "nse_future":
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return wrap(nse_future(symbol))
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elif req_type == "nse_bhav":
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# Use date if provided, else today
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date_input = date_str or pd.Timestamp.today().strftime("%d-%m-%Y")
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return wrap(nse_bhav(date_input))
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elif req_type == "nse_highlow":
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return wrap(nse_highlow())
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label="Date",
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value="",
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placeholder="DD-MM-YYYY",
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scale=1
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)
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output = gr.HTML(label="Output")
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# Mode change updates dropdown + symbol
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mode_input.change(
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update_on_mode,
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inputs=mode_input,
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outputs=[req_type, symbol]
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)
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# Request type change does not hide date anymore (always visible)
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# Fetch button
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btn.click(fetch_data, inputs=[mode_input, req_type, symbol, date_field], outputs=output)
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