dev:sqlite

app.py

@@ -3,28 +3,67 @@ import sqlite3
 import pandas as pd
 import os
 
-conn = sqlite3.connect("afa-db.db")
+## Label Metrics Size
+st.markdown("""<style>[data-testid="stMetricValue"] {font-size: 20px;}</style>""", unsafe_allow_html=True,)
+
+## Horizontal Radio Button
+st.write('<style>div.row-widget.stRadio > div{flex-direction:row;justify-content: left;} </style>', unsafe_allow_html=True)
+
+#st.set_page_config(page_title="The Ramsey Highlights", layout="wide")
+st.markdown("""<style>[data-testid="stSidebar"][aria-expanded="true"] > div:first-child{width: 370px;}
+    [data-testid="stSidebar"][aria-expanded="false"] > div:first-child{width: 370px;margin-left: -370px;}""",
+    unsafe_allow_html=True,
+)
+
 pro_edp = 'https://huggingface.co/datasets/strauss-oak/afa-bd/raw/main/tb-professors.csv'
 sch_edp = 'https://huggingface.co/datasets/strauss-oak/afa-bd/resolve/main/drw-inep.csv'
 std_edp = 'https://huggingface.co/datasets/strauss-oak/afa-bd/resolve/main/tb-students.csv'
 
-df_pro = pd.read_csv(pro_edp)
-df_pro.to_sql("tb_professors", conn, if_exists="replace")
-del df_pro
+conn = sqlite3.connect("afa-db.db")
 
-df_sch = pd.read_csv(sch_edp,  sep=';')
-df_sch.to_sql("tb_schools", conn, if_exists="replace")
-del df_sch
+@st.cache_resource
+def refresh_data_professors(conn):
+    df_pro = pd.read_csv(pro_edp)
+    df_pro.to_sql("tb_professors", conn, if_exists="replace")
+    df_pro = df_pro[:10]
+    return df_pro
 
-df_std = pd.read_csv(std_edp)
-df_std.to_sql("tb_students", conn, if_exists="replace")
-del df_std
+@st.cache_resource
+def refresh_data_schools(conn):
+    df_sch = pd.read_csv(sch_edp, sep=';')
+    df_sch.to_sql("tb_schools", conn, if_exists="replace")
+    df_sch = df_sch[:10]
+    return df_sch
 
-sql = """SELECT alu_id, alu_nome, alu_uf, alu_cep, progresso_alfabetizacao FROM tb_students
-         WHERE progresso_alfabetizacao >= 6 LIMIT 100"""
+@st.cache_resource
+def refresh_data_students(conn):
+    df_std = pd.read_csv(std_edp)
+    df_std.to_sql("tb_students", conn, if_exists="replace")
+    df_std = df_std[:10]
+    return df_std
 
-dfp_std = pd.read_sql(sql, conn)
-st.dataframe(dfp_std)
-del dfp_std
-#dfp_std.head(4)
+e1 = st.expander('Professores:', expanded=False)
+with e1:
+    st.markdown('1 - Amostra de dados:')
+    st.dataframe(refresh_data_professors(conn=conn))
+
+e2 = st.expander('Escolas:', expanded=False)
+with e2:
+    st.markdown('1 - Amostra de dados:')
+    st.dataframe(refresh_data_schools(conn=conn))
 
+e3 = st.expander('Estudantes:', expanded=False)
+with e3:
+    st.markdown('1 - Amostra de dados:')
+    st.dataframe(refresh_data_students(conn=conn))
+
+
+
+
+
+#sql = """SELECT alu_id, alu_nome, alu_uf, alu_cep, progresso_alfabetizacao FROM tb_students
+#         WHERE progresso_alfabetizacao >= 6 LIMIT 100"""
+#dfp_std = pd.read_sql(sql, conn)
+#st.dataframe(dfp_std)
+#del dfp_std
+#dfp_std.head(4)