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import streamlit as st
import pandas as pd
import os
from modeci_mdf.mdf import Model, Graph, Node, Parameter, OutputPort
from modeci_mdf.utils import load_mdf_json, load_mdf, load_mdf_yaml
from modeci_mdf.execution_engine import EvaluableGraph
from code_editor import code_editor
st.set_page_config(layout="wide")
st.title("🔋 MDF Simulator")
height = [19, 22]
theme = "default"
shortcuts = "vscode"
focus = False
wrap = True
editor_btns = [{
"name": "Run",
"feather": "Play",
"primary": True,
"hasText": True,
"showWithIcon": True,
"commands": ["submit"],
"style": {"bottom": "0.44rem", "right": "0.4rem"}
}]
def mdf_model_to_paramters_dictionary(param_inputs, mdf_model):
mod_graph = mdf_model.graphs[0]
nodes = mod_graph.nodes[0]
parameters = nodes.parameters
for param in parameters:
if isinstance(param.value, str) or param.value is None:
continue
st.session_state.param_inputs[param.id] = param.value
return st.session_state.param_inputs
def run_simulation(param_inputs, mdf_model):
mod_graph = mdf_model.graphs[0]
nodes = mod_graph.nodes[0]
parameters = nodes.parameters
outputs = nodes.output_ports
eg = EvaluableGraph(mod_graph, verbose=False)
duration = param_inputs["Simulation Duration (s)"]
dt = param_inputs["Time Step (s)"]
t = 0
times = []
output_values = {op.value: [] for op in outputs}
while t <= duration:
times.append(t)
if t == 0:
eg.evaluate()
else:
eg.evaluate(time_increment=dt)
for param in output_values:
eval_param = eg.enodes[nodes.id].evaluable_parameters[param]
output_values[param].append(eval_param.curr_value)
t += dt
chart_data = pd.DataFrame(output_values)
chart_data['Time'] = times
chart_data.set_index('Time', inplace=True)
return chart_data
def show_simulation_results():
if 'chart_data' in st.session_state:
st.line_chart(st.session_state.chart_data, use_container_width=True, height=400)
st.write("Input Values")
st.write(st.session_state.param_inputs)
st.write("Output Values")
st.write(st.session_state.chart_data)
def show_mdf_graph():
if 'mdf_model_graph' in st.session_state:
st.subheader("MDF Graph")
image_path = st.session_state.mdf_model.id + ".png"
st.image(image_path, caption="Model Graph Visualization")
def show_json_output():
if 'mdf_model_json' in st.session_state:
st.subheader("JSON Output")
st.json(st.session_state.mdf_model_json)
def update_view_tabs(mdf_model, param_inputs):
tab1, tab2, tab3, tab4 = st.tabs(["Simulation Results", "MDF Graph", "Json Output", "Yaml Editor"])
with tab1:
show_simulation_results()
with tab2:
show_mdf_graph()
with tab3:
show_json_output()
with tab4:
changes_in_yaml_to_update_model()
def parameter_form_to_update_model_and_view(mdf_model, param_inputs):
mod_graph = mdf_model.graphs[0]
nodes = mod_graph.nodes[0]
parameters = nodes.parameters
form = st.form(key="parameter_form")
for i, param in enumerate(parameters):
if isinstance(param.value, str) or param.value is None:
continue
key = f"{param.id}_{i}"
if mdf_model.metadata:
param_inputs[param.id] = float(form.text_input(f"{param.metadata.get('description', param.id)} ({param.id})", value=param.value, key=key))
else:
param_inputs[param.id] = float(form.text_input(f"{param.id}", value=param.value, key=key))
param_inputs["Simulation Duration (s)"] = float(form.text_input("Simulation Duration (s)", value=st.session_state.param_inputs.get("Simulation Duration (s)", 10), key="sim_duration"))
param_inputs["Time Step (s)"] = float(form.text_input("Time Step (s)", value=st.session_state.param_inputs.get("Time Step (s)", 0.1), key="time_step"))
run_button = form.form_submit_button("Run Simulation")
if run_button:
st.session_state.run_button_clicked = True
for i in param_inputs:
st.session_state.param_inputs[i] = float(param_inputs[i])
st.session_state.chart_data = run_simulation(param_inputs, mdf_model)
st.session_state.mdf_model_graph = mdf_model.to_graph_image(engine="dot", output_format="png", view_on_render=False, level=3, filename_root=mdf_model.id, only_warn_on_fail=(os.name == "nt"))
st.session_state.mdf_model_json = mdf_model.to_json()
st.session_state.update_button_clicked = False
def upload_file_and_load_to_model():
uploaded_file = st.file_uploader("Choose a JSON/YAML/BSON file", type=["json", "yaml", "bson"])
if uploaded_file is not None:
filename = uploaded_file.name
with open(filename, "wb") as f:
f.write(uploaded_file.getbuffer())
mdf_model = load_mdf(filename)
st.session_state.original_mdf_model = mdf_model # Save the original model
st.session_state.mdf_model_yaml = mdf_model # Save the current model state
return mdf_model
def changes_in_yaml_to_update_model():
response = code_editor(st.session_state.mdf_model_yaml.to_yaml(), height=height, lang="yaml", theme=theme, shortcuts=shortcuts, focus=focus, buttons=editor_btns, options={"wrap": wrap})
st.write("First, make changes in the YAML code above, press Ctrl + Enter (or Run button inside code editor) and then click on the 'Update Model' button below to update the model. Sometimes you have to follow these steps twice. Currently, the plot, mdf_graph and json output get updtes, but parameter input form needs to be worked on")
if len(response['id']) != 0 and (response['type'] == "selection" or response['type'] == "submit"):
code_text = response['text']
update_button = st.button("Update Model")
if update_button:
mdf_model = Model.from_yaml(code_text)
mdf_model_to_paramters_dictionary(st.session_state.param_inputs, mdf_model)
st.session_state.mdf_model_yaml = mdf_model
st.session_state.chart_data = run_simulation(st.session_state.param_inputs, mdf_model)
st.session_state.mdf_model_graph = mdf_model.to_graph_image(engine="dot", output_format="png", view_on_render=False, level=3, filename_root=mdf_model.id, only_warn_on_fail=(os.name == "nt"))
st.session_state.mdf_model_json = mdf_model.to_json()
st.session_state.update_button_clicked = True
def main():
mdf_model = upload_file_and_load_to_model()
st.write("Working on making YAML editor.")
if mdf_model:
st.session_state.mdf_model = mdf_model
if 'run_button_clicked' not in st.session_state:
st.session_state.run_button_clicked = False
if 'update_button_clicked' not in st.session_state:
st.session_state.update_button_clicked = False
param_inputs = {}
if mdf_model.metadata:
preferred_duration = float(mdf_model.metadata.get("preferred_duration", 10))
preferred_dt = float(mdf_model.metadata.get("preferred_dt", 0.1))
else:
preferred_duration = 100
preferred_dt = 0.1
param_inputs["Simulation Duration (s)"] = preferred_duration
param_inputs["Time Step (s)"] = preferred_dt
st.session_state.param_inputs = param_inputs
parameter_form_to_update_model_and_view(st.session_state.mdf_model, st.session_state.param_inputs)
update_view_tabs(mdf_model, param_inputs)
if __name__ == "__main__":
main()
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