import json
import pandas as pd
import streamlit as st

st.set_page_config(
    page_title="Raw Text → JSON Editor",
    layout="wide"
)

st.title("📄 Raw Text to JSON Converter & Editor")

# ----------------------------
# Session State
# ----------------------------

if "df" not in st.session_state:
    st.session_state.df = pd.DataFrame(columns=["id", "text"])

# ----------------------------
# Raw Input
# ----------------------------

raw_text = st.text_area(
    "Paste Raw Text",
    height=250,
    placeholder="""Hello
How are you?
My name is Alex
"""
)

# ----------------------------
# Convert
# ----------------------------

if st.button("🚀 Convert to JSON"):

    lines = [i.strip() for i in raw_text.split("\n") if i.strip()]

    data = []

    for index, line in enumerate(lines):

        data.append(
            {
                "id": index + 1,
                "text": line
            }
        )

    st.session_state.df = pd.DataFrame(data)

# ----------------------------
# Layout
# ----------------------------

left, right = st.columns([2,1])

# ----------------------------
# Left Panel
# ----------------------------

with left:

    st.subheader("📝 Edit Data")

    st.session_state.df = st.data_editor(
        st.session_state.df,
        use_container_width=True,
        num_rows="dynamic"
    )

# ----------------------------
# Right Panel
# ----------------------------

with right:

    st.subheader("📦 JSON Preview")

    json_data = st.session_state.df.to_dict(
        orient="records"
    )

    st.json(json_data)

# ----------------------------
# Buttons
# ----------------------------

col1,col2,col3 = st.columns(3)

with col1:

    if st.button("🔄 Reformat JSON"):

        json_data = st.session_state.df.to_dict(
            orient="records"
        )

        st.success("JSON Reformatted Successfully!")

with col2:

    json_string = json.dumps(
        st.session_state.df.to_dict(orient="records"),
        indent=4,
        ensure_ascii=False
    )

    st.download_button(
        "⬇ Download JSON",
        json_string,
        file_name="dataset.json",
        mime="application/json"
    )

with col3:

    st.download_button(
        "⬇ Download JSONL",
        "\n".join(
            json.dumps(i, ensure_ascii=False)
            for i in st.session_state.df.to_dict(orient="records")
        ),
        file_name="dataset.jsonl",
        mime="text/plain"
    )

st.divider()

st.subheader("Formatted JSON")

st.code(
    json.dumps(
        st.session_state.df.to_dict(orient="records"),
        indent=4,
        ensure_ascii=False
    ),
    language="json"
)