CRRA_optimisation_tool

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CRRA_optimisation_tool / utils /data_utils.py

[FEAT] Possibility to choose between running the optimization with manually entered values or by adding a pre-existing scenario (JSON) -> in this case, the values are automatically populated in all other input tabs

fbd166f 5 months ago

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1.28 kB

import json
import pandas as pd
import streamlit as st


@st.cache_data
def load_slider_data():
    """Load slider data from a JSON file and cache it for performance."""
    with open("data/cost_sliders.json") as f:
        data = json.load(f)
        return data
    
def render_resource_input(name_clean, r, tooltip=None):
    if tooltip:
        st.markdown(
            f"""<span title="{tooltip}" style="font-weight: 500;">{name_clean} <sup style="color:#999;">ℹ️</sup></span>""",
            unsafe_allow_html=True
        )
    else:
        st.markdown(f"**{name_clean}**")

    widget_key = f"cap_{r}"

    if widget_key not in st.session_state:
        st.session_state[widget_key] = st.session_state.resource_caps.get(r, 0.0)

    cap = st.number_input(
        label="label",
        label_visibility="collapsed",
        min_value=0.0,
        format="%.2f",
        key=widget_key,
    )

    st.session_state.resource_caps[r] = cap

def is_valid_scenario(scenario):
    return (
        isinstance(scenario, dict)
        and "allocations" in scenario
        and "resource_caps" in scenario
        and "method_costs" in scenario
        and "method_constraints" in scenario
        and "summary" in scenario
    )

	import json
	import pandas as pd
	import streamlit as st


	@st.cache_data
	def load_slider_data():
	"""Load slider data from a JSON file and cache it for performance."""
	with open("data/cost_sliders.json") as f:
	data = json.load(f)
	return data

	def render_resource_input(name_clean, r, tooltip=None):
	if tooltip:
	st.markdown(
	f"""<span title="{tooltip}" style="font-weight: 500;">{name_clean} <sup style="color:#999;">ℹ️</sup></span>""",
	unsafe_allow_html=True
	)
	else:
	st.markdown(f"{name_clean}")

	widget_key = f"cap_{r}"

	if widget_key not in st.session_state:
	st.session_state[widget_key] = st.session_state.resource_caps.get(r, 0.0)

	cap = st.number_input(
	label="label",
	label_visibility="collapsed",
	min_value=0.0,
	format="%.2f",
	key=widget_key,
	)

	st.session_state.resource_caps[r] = cap

	def is_valid_scenario(scenario):
	return (
	isinstance(scenario, dict)
	and "allocations" in scenario
	and "resource_caps" in scenario
	and "method_costs" in scenario
	and "method_constraints" in scenario
	and "summary" in scenario
	)