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# pages/generate_reports.py
import streamlit as st
import pandas as pd
import io
import zipfile
from modules.database import Session, Student, AcademicTerm, ReportDesign, ENGINE, log_audit
from modules.pdf_generator import generate_pdf_report
from modules.grading import get_grade
def show():
st.header("📄 Generate Student Reports")
session = Session()
students = pd.read_sql("SELECT * FROM students ORDER BY class_name, name", ENGINE)
terms = pd.read_sql("SELECT * FROM academic_terms ORDER BY year DESC, term_number DESC", ENGINE)
if students.empty or terms.empty:
st.warning("Need students and terms to generate reports")
session.close()
st.stop()
design = session.query(ReportDesign).first()
st.subheader("Select Report Generation Options")
report_mode = st.radio("Generate reports for:", ["Individual Student", "Whole Class"], horizontal=True)
selected_term = st.selectbox("Select Term", terms['term_name'].tolist())
term_data = terms[terms['term_name'] == selected_term].iloc[0]
if report_mode == "Individual Student":
selected_student = st.selectbox("Select Student", students['name'].tolist())
student_data = students[students['name'] == selected_student].iloc[0]
# Get marks
marks_query = f"""
SELECT m.*, u.name as teacher_name
FROM marks m
JOIN users u ON m.submitted_by = u.id
WHERE m.student_id = {student_data['id']} AND m.term_id = {term_data['id']}
ORDER BY m.subject
"""
marks = pd.read_sql(marks_query, ENGINE)
# Get behavior data
behavior_query = f"""
SELECT punctuality, attendance, manners, general_behavior,
organisational_skills, adherence_to_uniform, leadership_skills,
commitment_to_school, cooperation_with_peers, cooperation_with_staff,
participation_in_lessons, completion_of_homework
FROM classroom_behavior
WHERE student_id = {student_data['id']} AND term_id = {term_data['id']}
"""
behavior_result = pd.read_sql(behavior_query, ENGINE)
behavior_data = None
if not behavior_result.empty:
behavior_data = behavior_result.iloc[0].to_dict()
# Get decision data (only for term 3)
decision_data = None
if term_data['term_number'] == 3:
decision_query = f"""
SELECT decision, notes
FROM student_decisions
WHERE student_id = {student_data['id']} AND term_id = {term_data['id']}
"""
decision_result = pd.read_sql(decision_query, ENGINE)
if not decision_result.empty:
decision_data = decision_result.iloc[0].to_dict()
if not marks.empty:
st.subheader(f"Results Preview for {selected_student}")
display_df = marks[[
'subject', 'coursework_out_of_20', 'midterm_out_of_20',
'endterm_out_of_60', 'total', 'grade', 'comment', 'teacher_name'
]].copy()
display_df.columns = ['Subject', 'CW/20', 'MOT/20', 'EOT/60', 'Total', 'Grade', 'Comment', 'Teacher']
st.dataframe(display_df, use_container_width=True)
overall_avg = marks['total'].mean()
overall_grade = get_grade(overall_avg)
avg_comments = {
"A*": "Outstanding Performance",
"A": "Excellent Performance",
"B": "Good Performance",
"C": "Satisfactory Performance",
"D": "Needs Improvement",
"E": "Poor Performance",
"U": "Unsatisfactory Performance"
}
avg_comment = avg_comments.get(overall_grade, "")
col3, col4 = st.columns(2)
with col3:
st.metric("Overall Average", f"{overall_avg:.0f}/100")
with col4:
st.metric("Overall Grade", f"{overall_grade} - {avg_comment}")
if term_data['term_number'] == 3 and decision_data:
st.metric("Decision", decision_data.get('decision', 'Pending'))
if st.button("📄 Generate PDF Report", use_container_width=True):
try:
pdf_data = generate_pdf_report(student_data, term_data, marks, design, behavior_data, decision_data)
st.download_button(
"⬇️ Download PDF Report",
pdf_data,
f"{selected_student}_{selected_term}_report.pdf",
"application/pdf",
use_container_width=True
)
log_audit(session, st.session_state.user_id, "generate_report",
f"Individual: {selected_student} - {selected_term}")
st.success("✅ PDF generated successfully!")
except Exception as e:
st.error(f"❌ Error generating PDF: {str(e)}")
else:
st.info(f"❌ No marks found for {selected_student} in {selected_term}")
st.info(f"Debug: Student ID = {student_data['id']}, Term ID = {term_data['id']}")
any_marks = pd.read_sql(f"SELECT COUNT(*) as count FROM marks WHERE student_id = {student_data['id']}", ENGINE)
st.info(f"This student has {any_marks['count'].iloc[0]} marks in total across all terms")
else: # Whole Class
classes = pd.read_sql("SELECT DISTINCT class_name FROM students ORDER BY class_name", ENGINE)
selected_class = st.selectbox("Select Class", classes['class_name'].tolist())
class_students = students[students['class_name'] == selected_class]
st.info(f"📊 Found {len(class_students)} students in {selected_class}")
students_with_marks = []
students_without_marks = []
for _, student in class_students.iterrows():
marks = pd.read_sql(f"""
SELECT m.*, u.name as teacher_name
FROM marks m
JOIN users u ON m.submitted_by = u.id
WHERE m.student_id = {student['id']} AND m.term_id = {term_data['id']}
""", ENGINE)
if not marks.empty:
students_with_marks.append(student['name'])
else:
students_without_marks.append(student['name'])
col5, col6 = st.columns(2)
with col5:
st.success(f"✅ {len(students_with_marks)} students with marks")
with col6:
if students_without_marks:
st.warning(f"⚠️ {len(students_without_marks)} students without marks")
if students_without_marks:
with st.expander("⚠️ Students without marks"):
st.write(", ".join(students_without_marks))
if students_with_marks:
if st.button(f"📄 Generate All Reports for {selected_class}", use_container_width=True):
zip_buffer = io.BytesIO()
with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
for student_name in students_with_marks:
student_data = class_students[class_students['name'] == student_name].iloc[0]
marks = pd.read_sql(f"""
SELECT m.*, u.name as teacher_name
FROM marks m
JOIN users u ON m.submitted_by = u.id
WHERE m.student_id = {student_data['id']} AND m.term_id = {term_data['id']}
""", ENGINE)
behavior_query = f"""
SELECT punctuality, attendance, manners, general_behavior,
organisational_skills, adherence_to_uniform, leadership_skills,
commitment_to_school, cooperation_with_peers, cooperation_with_staff,
participation_in_lessons, completion_of_homework
FROM classroom_behavior
WHERE student_id = {student_data['id']} AND term_id = {term_data['id']}
"""
behavior_result = pd.read_sql(behavior_query, ENGINE)
behavior_data = None
if not behavior_result.empty:
behavior_data = behavior_result.iloc[0].to_dict()
decision_data = None
if term_data['term_number'] == 3:
decision_query = f"""
SELECT decision, notes
FROM student_decisions
WHERE student_id = {student_data['id']} AND term_id = {term_data['id']}
"""
decision_result = pd.read_sql(decision_query, ENGINE)
if not decision_result.empty:
decision_data = decision_result.iloc[0].to_dict()
if not marks.empty:
pdf_data = generate_pdf_report(student_data, term_data, marks, design, behavior_data, decision_data)
filename = f"{student_name}_{selected_term}_report.pdf"
zip_file.writestr(filename, pdf_data)
zip_buffer.seek(0)
st.download_button(
f"⬇️ Download All {len(students_with_marks)} Reports (ZIP)",
zip_buffer.getvalue(),
f"{selected_class}_{selected_term}_reports.zip",
"application/zip",
use_container_width=True
)
log_audit(session, st.session_state.user_id, "generate_reports",
f"Bulk: {selected_class} - {selected_term} - {len(students_with_marks)} reports")
st.success(f"✅ Generated {len(students_with_marks)} reports!")
else:
st.warning("No students in this class have marks for the selected term")
session.close() |