app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
from io import BytesIO
import base64
import random
import io
import re
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from streamlit_tags import st_tags
from streamlit_vertical_slider import vertical_slider
import pdf_generator
import datetime

# Set page config
st.set_page_config(
    page_title="Pilot Drafting",
    page_icon="🛫",
    layout="wide",
    initial_sidebar_state="collapsed"
)

# Password protection
def check_password():
    def password_entered():
        if st.session_state["password"] == st.secrets["app_password"]:
            st.session_state["password_correct"] = True
            del st.session_state["password"]
        else:
            st.session_state["password_correct"] = False

    if "password_correct" not in st.session_state:
        st.markdown("\n\n")
        st.text_input("Enter the password", type="password", on_change=password_entered, key="password")
        st.divider()
        st.info("Developed by Milan Mrdenovic © IBM Norway 2025")
        return False
    elif not st.session_state["password_correct"]:
        st.markdown("\n\n")
        st.text_input("Enter the password", type="password", on_change=password_entered, key="password")
        st.divider()
        st.info("Developed by Milan Mrdenovic © IBM Norway 2025")
        st.error("😕 Password incorrect")
        return False
    else:
        return True

if not check_password():
    st.stop()

# Initialize session state
if 'current_page' not in st.session_state:
    st.session_state.current_page = 0

if 'answers' not in st.session_state:
    st.session_state.answers = {
        'workload_scope': {
            'feature_prioritization': ['', '', '', '', ''],
            'preferred_start_period': '',
            'team_composition': {
                'partner': '',
                'ibm': ''
            }
        },
        'useful_assets': {
            'solution_elements': [],
            'ibm_software': [],
            'open_source_supports': []
        },
        'pilot_evaluation': {
            'metrics': []
        }
    }

# Define the content for each page
pages = [
    {
        'title': "Scope a Manageable Workload",
        'content': """
        Define the scope of your project to ensure a manageable workload. Consider the time commitments, deadlines, and feature prioritization.
        """,
        'input_key': 'workload_scope',
        'input_type': 'custom'
    },
    {
        'title': "Solution Elements",
        'content': """
        Discuss the useful assets and libraries that can be utilized for the project. Consider Langchain, Langflow, ChromaDB, Jupyter Notebooks, etc.
        """,
        'input_key': 'useful_assets',
        'input_type': 'custom'
    },
    {
        'title': "Pilot Evaluation",
        'content': """
        Plan for the metrics that need to be tracked for the project. Consider queries, token usage, F1 scores, precision, etc.
        """,
        'input_key': 'pilot_evaluation',
        'input_type': 'custom'
    },
    {
        'title': "Generate Evaluation Report",
        'content': "You have completed the Pilot Drafting. \nClick the button below to generate and download your PDF report.",
        'input_key': None
    }
]

st.session_state.pages = pages

# Main Streamlit app
st.title("Pilot Drafting")

# Navigation buttons
col1, col2, col3 = st.columns([1, 2, 1])
with col1:
    if st.session_state.current_page > 0:
        if st.button("Back"):
            st.session_state.current_page -= 1
            st.rerun()
with col3:
    if st.session_state.current_page < len(pages) - 1:
        if st.button("Next", use_container_width=True):
            st.session_state.current_page += 1
            st.rerun()

# Display current page
current_page = pages[st.session_state.current_page]
st.header(current_page['title'])

with st.expander("Description", expanded=False):
    st.markdown(current_page['content'])

# Input fields
if 'input_key' in current_page and current_page['input_key'] is not None:
    if current_page['input_key'] == 'workload_scope':
        st.subheader("Workload Scope")
        col1, col2, col3 = st.columns(3)
        with col1:
            st.session_state.answers['workload_scope']['feature_prioritization'] = [st.text_area(f"Feature Prioritization {i+1}", value=st.session_state.answers['workload_scope']['feature_prioritization'][i], height=100) for i in range(5)]
        with col2:
            st.session_state.answers['workload_scope']['preferred_start_period'] = st.date_input("Preferred Start Period", value=(datetime.date.today(), datetime.date.today() + datetime.timedelta(days=30)))
        with col3:
            st.session_state.answers['workload_scope']['team_composition']['partner'] = st.text_area("Partner", value=st.session_state.answers['workload_scope']['team_composition']['partner'], height=150)
            st.session_state.answers['workload_scope']['team_composition']['ibm'] = st.text_area("IBM", value=st.session_state.answers['workload_scope']['team_composition']['ibm'], height=150)

    elif current_page['input_key'] == 'useful_assets':
        st.info(st.session_state.answers['workload_scope']['feature_prioritization'])
        st.subheader("Solution Elements")
        col1, col2 = st.columns(2)
        with col1:
            st.session_state.answers['useful_assets']['ibm_software'] = st_tags(label='Enter IBM Software:', text='Press enter to add more', value=st.session_state.answers['useful_assets']['ibm_software'], suggestions=[], maxtags=5, key='ibm_software')
        with col2:
            st.session_state.answers['useful_assets']['open_source_supports'] = st_tags(label='Enter Open Source Supports:', text='Press enter to add more', value=st.session_state.answers['useful_assets']['open_source_supports'], suggestions=[], maxtags=5, key='open_source_supports')

    elif current_page['input_key'] == 'pilot_evaluation':
        st.subheader("Evaluation Criteria")
        col1, col2 = st.columns(2)
        with col1:
            qualitative_criteria = st_tags(label='Enter Qualitative Criteria:', text='Press enter to add more', value=st.session_state.answers['useful_assets'].get('qualitative', []), suggestions=[], maxtags=5, key='qualitative_criteria')
            st.session_state.answers['useful_assets']['qualitative'] = qualitative_criteria

            # Add description fields for each qualitative criterion
            for i, criterion in enumerate(qualitative_criteria):
                description_key = f'qual_desc_{i}'
                description = st.text_area(f"Description for {criterion}:", value=st.session_state.answers['useful_assets'].get(description_key, ""), key=description_key, height=100)
                st.session_state.answers['useful_assets'][description_key] = description

        with col2:
            quantitative_criteria = st_tags(label='Enter Quantitative Criteria:', text='Use format: CriteriaName[min - max] (can use %, floats, or integers)', value=st.session_state.answers['useful_assets'].get('quantitative', []), suggestions=[], maxtags=5, key='quantitative_criteria')
            st.session_state.answers['useful_assets']['quantitative'] = quantitative_criteria

            if quantitative_criteria:
                slider_cols = st.columns(len(quantitative_criteria))
                for i, (criterion, slider_col) in enumerate(zip(quantitative_criteria, slider_cols)):
                    parsed = pdf_generator.parse_quantitative_criteria(criterion)
                    if parsed:
                        name, min_val, max_val, is_percentage, is_integer = parsed
                        current_value = st.session_state.answers['useful_assets'].get(f'quant_value_{i}', min_val)

                        with slider_col:
                            value = vertical_slider(label=name, key=f"quant_slider_{i}", min_value=min_val, max_value=max_val, step=(max_val - min_val) / 100, default_value=current_value, height=200, thumb_shape="circle", thumb_color="#9999FF", slider_color=('green', 'orange'), value_always_visible=True)

                            st.session_state.answers['useful_assets'][f'quant_value_{i}'] = value

                            if is_percentage:
                                st.markdown(f"**{name}: {value:.1f}%**")
                        #       st.markdown(f"**{name}: {value*100:.1f}%**")
                            elif is_integer:
                                st.markdown(f"**{name}: {int(value)}**")
                            else:
                                st.markdown(f"**{name}: {value:.2f}**")
                    else:
                        st.warning(f"Invalid format for quantitative criterion: {criterion}")


# Generate PDF button (only on the last page)
if st.session_state.current_page == len(pages) - 1:
    if st.button("Generate and Download PDF", use_container_width=True):
        pdf = pdf_generator.generate_pdf(st.session_state)
        st.download_button(label="Download PDF", data=pdf, file_name="Pilot_Drafting.pdf", mime="application/pdf", use_container_width=True)

# Display progress
st.progress((st.session_state.current_page + 1) / len(pages))

st.divider()