add api implementation

python/app.py

@@ -0,0 +1,70 @@
+import streamlit as st
+import pandas as pd
+import requests
+from fpdf import FPDF
+
+# Load data
+@st.cache_data
+def load_data():
+    url = "https://educationtocareer.data.mass.gov/resource/n2xa-p822.json"
+    response = requests.get(url)
+    df = pd.DataFrame(response.json())
+    num_cols = ['cohort_cnt', 'grad_pct', 'in_sch_pct', 'non_grad_pct', 'ged_pct', 'drpout_pct', 'exclud_pct']
+    for col in num_cols:
+        df[col] = pd.to_numeric(df[col], errors='coerce')
+    return df
+
+df = load_data()
+
+st.title("📊 Massachusetts Graduation Statistics Dashboard")
+
+# Sidebar filters
+with st.sidebar:
+    st.header("Filter Options")
+    org_type = st.selectbox("Report Type", [""] + sorted(df['org_type'].dropna().unique().tolist()))
+    sy = st.selectbox("School Year", [""] + sorted(df['sy'].dropna().unique().tolist(), reverse=True))
+    grad_rate_type = st.selectbox("Rate Type", [""] + sorted(df['grad_rate_type'].dropna().unique().tolist()))
+    stu_grp = st.selectbox("Student Group", [""] + sorted(df['stu_grp'].dropna().unique().tolist()))
+
+# Apply filters
+filtered = df.copy()
+if org_type: filtered = filtered[filtered['org_type'] == org_type]
+if sy: filtered = filtered[filtered['sy'] == sy]
+if grad_rate_type: filtered = filtered[filtered['grad_rate_type'] == grad_rate_type]
+if stu_grp: filtered = filtered[filtered['stu_grp'] == stu_grp]
+
+# Select columns
+cols = {
+    'dist_name': 'District Name',
+    'dist_code': 'District Code',
+    'cohort_cnt': '# in Cohort',
+    'grad_pct': '% Graduated',
+    'in_sch_pct': '% Still in School',
+    'non_grad_pct': '% Non-Grad Completers',
+    'ged_pct': '% H.S. Equiv.',
+    'drpout_pct': '% Dropped Out',
+    'exclud_pct': '% Permanently Excluded'
+}
+display_df = filtered[list(cols.keys())].rename(columns=cols)
+
+# Display
+st.dataframe(display_df, use_container_width=True)
+
+# Export options
+st.download_button("📥 Download CSV", display_df.to_csv(index=False), "report.csv", "text/csv")
+
+# PDF export
+def export_pdf(df):
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_font("Arial", size=10)
+    pdf.cell(200, 10, txt="Graduation Report", ln=True, align='C')
+    for _, row in df.iterrows():
+        row_text = ', '.join(str(val) for val in row.values)
+        pdf.multi_cell(0, 8, row_text)
+    pdf.output("report.pdf")
+
+if st.button("📄 Export PDF"):
+    export_pdf(display_df)
+    with open("report.pdf", "rb") as f:
+        st.download_button("Download PDF", f, "report.pdf", mime="application/pdf")