app.py

# app.py  —  BizIntel AI Ultra  (Gemini 1.5 Pro, advanced pipeline)

import os
import tempfile
import pandas as pd
import streamlit as st
import google.generativeai as genai

from tools.csv_parser import parse_csv_tool
from tools.plot_generator import plot_sales_tool
from tools.forecaster import forecast_tool   # must accept date_col param

# ──────────────────────────────────────────────────────────────
# 1.  GEMINI CONFIG  (1.5‑Pro, temperature 0.7)
# ──────────────────────────────────────────────────────────────
genai.configure(api_key=os.getenv("GEMINI_APIKEY"))
gemini = genai.GenerativeModel(
    model="gemini-1.5-pro-latest",
    temperature=0.7,
    top_p=0.9,
    response_mime_type="text/markdown",
)

# ──────────────────────────────────────────────────────────────
# 2.  STREAMLIT PAGE CONFIG
# ──────────────────────────────────────────────────────────────
st.set_page_config(page_title="BizIntel AI Ultra – Gemini 1.5 Pro", layout="wide")
st.title("📊 BizIntel AI Ultra – Advanced Analytics Pipeline")

TEMP_DIR = tempfile.gettempdir()

# ──────────────────────────────────────────────────────────────
# 3.  CSV UPLOAD
# ──────────────────────────────────────────────────────────────
csv_file = st.file_uploader("Upload CSV (≤ 200 MB)", type=["csv"])
if csv_file is None:
    st.info("⬆️  Upload a CSV to begin.")
    st.stop()

csv_path = os.path.join(TEMP_DIR, csv_file.name)
with open(csv_path, "wb") as f:
    f.write(csv_file.read())
st.success("CSV saved to temporary storage ✅")

# Preview first rows
df_preview = pd.read_csv(csv_path, nrows=5)
st.dataframe(df_preview)

# ──────────────────────────────────────────────────────────────
# 4.  DATE COLUMN SELECTION
# ──────────────────────────────────────────────────────────────
date_col = st.selectbox("Choose the date/time column for forecasting", df_preview.columns)

# ──────────────────────────────────────────────────────────────
# 5.  LOCAL TOOL EXECUTION
# ──────────────────────────────────────────────────────────────
with st.spinner("🔍 Parsing CSV…"):
    summary_text = parse_csv_tool(csv_path)

with st.spinner("📈 Generating sales trend chart…"):
    _ = plot_sales_tool(csv_path)   # creates sales_plot.png

with st.spinner("🔮 Forecasting future metrics…"):
    forecast_text = forecast_tool(csv_path, date_col=date_col)  # pass chosen column

# ──────────────────────────────────────────────────────────────
# 6.  GEMINI 1.5‑PRO STRATEGY (stream)
# ──────────────────────────────────────────────────────────────
prompt = (
    f"You are **BizIntel Strategist AI**.\n\n"
    f"## CSV Summary\n```\n{summary_text}\n```\n\n"
    f"## Forecast Output\n```\n{forecast_text}\n```\n\n"
    "### Task\n"
    "Return Markdown with:\n"
    "1. **Five key insights** (bullet list)\n"
    "2. **Three actionable strategies** (with expected impact)\n"
    "3. **Risk factors or anomalies** you see\n"
    "4. **Suggested additional visuals** to aid stakeholder understanding\n"
)

st.subheader("🚀 Strategy Recommendations (Gemini 1.5 Pro)")
placeholder = st.empty()
strategy_md = ""

for chunk in gemini.generate_content_stream(prompt):
    if chunk.candidate and chunk.candidate.content.parts:
        strategy_md += chunk.candidate.content.parts[0].text
        placeholder.markdown(strategy_md)

# ──────────────────────────────────────────────────────────────
# 7.  DISPLAY SUMMARY & CHARTS
# ──────────────────────────────────────────────────────────────
st.markdown("---")
st.subheader("📑 CSV Summary")
st.text(summary_text)

sales_plot_path = os.path.join("sales_plot.png")
forecast_plot_path = os.path.join("forecast_plot.png")

if os.path.exists(sales_plot_path):
    st.image(sales_plot_path, caption="Sales Trend", use_column_width=True)

if os.path.exists(forecast_plot_path):
    st.image(forecast_plot_path, caption="Forecast Chart", use_column_width=True)