data_utils.py

"""Shared cached data loaders for the Streamlit app."""

from pathlib import Path

import pandas as pd
import streamlit as st

repo_root = Path(__file__).resolve().parent
facilities_csv = repo_root / "market_intel" / "data" / "fasyankes_satusehat_20260719.csv"
vendors_csv = repo_root / "market_intel" / "data" / "vendors_satusehat_20260719.csv"

snapshot_date = "2026-07-19"

# facility-type display order (main categories in the SATUSEHAT list)
type_options = [
    "Klinik",
    "Tempat Praktik Mandiri Tenaga Kesehatan",
    "Pusat Kesehatan Masyarakat",
    "Rumah Sakit",
    "Laboratorium Kesehatan",
]


@st.cache_data
def load_facilities():
    df = pd.read_csv(facilities_csv, encoding="utf-8-sig")
    df["create_at"] = pd.to_datetime(df["create_at"])
    df["month"] = df["create_at"].dt.to_period("M").dt.to_timestamp()
    df["is_klinik"] = df["type_facility"].str.contains("Klinik", na=False)
    return df


@st.cache_data
def load_vendors():
    return pd.read_csv(vendors_csv, encoding="utf-8-sig")


@st.cache_data
def monthly_adoption():
    """Long-form monthly counts for the adoption chart (two fixed series)."""
    df = load_facilities()
    all_m = df.groupby("month").size().rename("count").reset_index()
    all_m["series"] = "All facilities"
    kl_m = df[df["is_klinik"]].groupby("month").size().rename("count").reset_index()
    kl_m["series"] = "Klinik"
    return pd.concat([all_m, kl_m], ignore_index=True)