Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,139 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import pandas as pd
+import altair as alt
+
+# ===============================
+# 1️⃣ 데이터 불러오기
+# ===============================
+
+past_path = '/app/src/2018-2024.xlsx'
+future_path = '/app/src/예상수요량_2025예측.xlsx'
+
+past_df = pd.read_excel(past_path)
+future_df = pd.read_excel(future_path)
+
+past_df['월'] = past_df['월'].astype(int)
+future_df['월'] = future_df['월'].astype(int)
+
+past_df = past_df.rename(columns={'판매량(kg)': 'y'})
+future_df = future_df.rename(columns={'예상수요량': 'y'})
+
+past_df['y'] = past_df['y'].astype(int)
+future_df['y'] = future_df['y'].round().astype(int)
+
+# ===============================
+# 2️⃣ 페이지 설정 & 스타일
+# ===============================
+
+st.set_page_config(page_title="과일 수요량 대시보드", layout="wide")
+
+st.markdown("""
+    <style>
+        /* 타이틀을 더 아래로 내려서 헤더와 겹치지 않게 */
+        .main > div:first-child {
+            padding-top: 50px !important;
+        }
+        .title {
+            font-size: 30px;
+            font-weight: 700;
+            margin-top: 25px;
+            margin-bottom: 20px;
+        }
+    </style>
+""", unsafe_allow_html=True)
+
+# 페이지 타이틀
+st.markdown("<div class='title'>🍎 과일 수요량 대시보드 (과거 + 2025 예측)</div>", unsafe_allow_html=True)
+
+# ===============================
+# 3️⃣ 데이터 선택
+# ===============================
+
+data_type = st.sidebar.radio("📂 사용할 데이터", ["과거 데이터", "2025년 예측 데이터"])
+selected_df = past_df if data_type == "과거 데이터" else future_df
+
+# ===============================
+# 4️⃣ 년도 선택 (2025년 예측은 숨김)
+# ===============================
+
+if data_type == "과거 데이터":
+    available_years = sorted(selected_df['년도'].unique())
+
+    selected_years = st.multiselect(
+        "📅 조회할 년도",
+        available_years,
+        default=[]  # 기본 선택 없음
+    )
+
+    df_filtered = selected_df[selected_df['년도'].isin(selected_years)]
+else:
+    df_filtered = selected_df.copy()  # 2025년만 존재 → 자동 고정
+
+# ===============================
+# 5️⃣ 과일 선택 (기본 선택 없음)
+# ===============================
+
+fruits = sorted(df_filtered['과일종류'].unique())
+
+selected_fruits = st.multiselect(
+    "🍊 표시할 과일 선택",
+    fruits,
+    default=[]   # 기본 선택 없음
+)
+
+df_chart = df_filtered[df_filtered['과일종류'].isin(selected_fruits)]
+
+# ===============================
+# 6️⃣ 그래프 영역
+# ===============================
+
+st.subheader("📈 월별 수요량 그래프")
+
+if len(df_chart) > 0:
+
+    if data_type == "과거 데이터":
+        years = sorted(df_chart['년도'].unique())
+    else:
+        years = [2025]
+
+    for y in years:
+        st.markdown(f"### 📌 {y}년")
+
+        df_year = df_chart[df_chart['년도'] == y]
+
+        chart = (
+            alt.Chart(df_year)
+            .mark_line(point=True)
+            .encode(
+                x=alt.X('월:O', title='월', axis=alt.Axis(labelAngle=0)),
+                y=alt.Y('y:Q', title='수요량'),
+                color='과일종류:N',
+                tooltip=['년도', '과일종류', '월', 'y']
+            )
+            .properties(height=350)
+        )
+
+        st.altair_chart(chart, use_container_width=True)
+
+else:
+    st.info("그래프에 표시할 과일을 선택하세요.")
+
+# ===============================
+# 7️⃣ 테이블 영역
+# ===============================
+
+st.subheader("📊 상세 데이터")
+
+selected_fruits_table = st.multiselect(
+    "📋 테이블 표시 과일",
+    fruits,
+    default=[]
+)
+
+df_table = df_filtered[df_filtered['과일종류'].isin(selected_fruits_table)]
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+if len(df_table) > 0:
+    df_show = df_table[['년도', '월', '과일종류', 'y']].rename(columns={'y': '수요량'})
+    st.dataframe(df_show, use_container_width=True)
+else:
+    st.info("테이블에 표시할 과일을 선택하세요.")