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import sqlite3
from datetime import datetime
import pandas as pd
import time
class FeedbackManager:
def __init__(self):
self.db_path = "feedback/feedback.db"
self.setup_database()
def setup_database(self):
"""Create feedback table if it doesn't exist"""
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
c.execute('''
CREATE TABLE IF NOT EXISTS feedback (
id INTEGER PRIMARY KEY AUTOINCREMENT,
rating INTEGER,
usability_score INTEGER,
feature_satisfaction INTEGER,
missing_features TEXT,
improvement_suggestions TEXT,
user_experience TEXT,
timestamp DATETIME
)
''')
conn.commit()
conn.close()
def save_feedback(self, feedback_data):
"""Save feedback to database"""
conn = sqlite3.connect(self.db_path)
c = conn.cursor()
c.execute('''
INSERT INTO feedback (
rating, usability_score, feature_satisfaction,
missing_features, improvement_suggestions,
user_experience, timestamp
) VALUES (?, ?, ?, ?, ?, ?, ?)
''', (
feedback_data['rating'],
feedback_data['usability_score'],
feedback_data['feature_satisfaction'],
feedback_data['missing_features'],
feedback_data['improvement_suggestions'],
feedback_data['user_experience'],
datetime.now()
))
conn.commit()
conn.close()
def get_feedback_stats(self):
"""Get feedback statistics"""
conn = sqlite3.connect(self.db_path)
df = pd.read_sql_query("SELECT * FROM feedback", conn)
conn.close()
if df.empty:
return {
'avg_rating': 0,
'avg_usability': 0,
'avg_satisfaction': 0,
'total_responses': 0
}
return {
'avg_rating': df['rating'].mean(),
'avg_usability': df['usability_score'].mean(),
'avg_satisfaction': df['feature_satisfaction'].mean(),
'total_responses': len(df)
}
def render_feedback_form(self):
"""Render the feedback form"""
st.markdown("""
<style>
@import url('https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css');
.feedback-container {
background: rgba(255, 255, 255, 0.05);
backdrop-filter: blur(10px);
padding: 30px;
border-radius: 20px;
margin: 20px 0;
border: 1px solid rgba(255, 255, 255, 0.1);
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1);
}
.feedback-header {
color: #E0E0E0;
font-size: 1.5em;
font-weight: 600;
margin-bottom: 25px;
text-align: center;
padding: 15px;
background: linear-gradient(135deg, #4CAF50, #2196F3);
border-radius: 12px;
box-shadow: 0 4px 15px rgba(76, 175, 80, 0.2);
}
.feedback-section {
margin: 20px 0;
padding: 20px;
border-radius: 15px;
background: rgba(255, 255, 255, 0.03);
border: 1px solid rgba(255, 255, 255, 0.1);
transition: transform 0.3s ease, box-shadow 0.3s ease;
}
.feedback-section:hover {
transform: translateY(-5px);
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.2);
}
.feedback-label {
color: #E0E0E0;
font-size: 1.1em;
font-weight: 500;
margin-bottom: 10px;
}
.star-rating {
font-size: 24px;
color: #FFD700;
cursor: pointer;
transition: transform 0.2s ease;
}
.star-rating:hover {
transform: scale(1.1);
}
.rating-container {
display: flex;
align-items: center;
gap: 10px;
margin: 15px 0;
}
.submit-button {
background: linear-gradient(135deg, #4CAF50, #2196F3);
color: white;
padding: 12px 25px;
border: none;
border-radius: 8px;
font-weight: 600;
cursor: pointer;
transition: all 0.3s ease;
text-transform: uppercase;
letter-spacing: 1px;
width: 100%;
margin-top: 20px;
}
.submit-button:hover {
transform: translateY(-2px);
box-shadow: 0 5px 15px rgba(33, 150, 243, 0.3);
}
.textarea-container {
background: rgba(255, 255, 255, 0.03);
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 8px;
padding: 10px;
margin-top: 10px;
}
.textarea-container textarea {
width: 100%;
min-height: 100px;
background: transparent;
border: none;
color: #E0E0E0;
font-size: 1em;
resize: vertical;
}
</style>
""", unsafe_allow_html=True)
st.markdown('<div class="feedback-container">', unsafe_allow_html=True)
st.markdown('<h2 class="feedback-header">📝 Share Your Feedback</h2>', unsafe_allow_html=True)
# Overall Rating
st.markdown('<div class="feedback-section">', unsafe_allow_html=True)
st.markdown('<label class="feedback-label">Overall Experience Rating</label>', unsafe_allow_html=True)
rating = st.slider("Overall Rating", 1, 5, 5, help="Rate your overall experience with the app", label_visibility="collapsed")
st.markdown(f'<div class="rating-container">{"⭐" * rating}</div>', unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
# Usability Score
st.markdown('<div class="feedback-section">', unsafe_allow_html=True)
st.markdown('<label class="feedback-label">How easy was it to use our app?</label>', unsafe_allow_html=True)
usability_score = st.slider("Usability Score", 1, 5, 5, help="Rate the app's ease of use", label_visibility="collapsed")
st.markdown(f'<div class="rating-container">{"⭐" * usability_score}</div>', unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
# Feature Satisfaction
st.markdown('<div class="feedback-section">', unsafe_allow_html=True)
st.markdown('<label class="feedback-label">How satisfied are you with our features?</label>', unsafe_allow_html=True)
feature_satisfaction = st.slider("Feature Satisfaction", 1, 5, 5, help="Rate your satisfaction with the app's features", label_visibility="collapsed")
st.markdown(f'<div class="rating-container">{"⭐" * feature_satisfaction}</div>', unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
# Text Feedback
st.markdown('<div class="feedback-section">', unsafe_allow_html=True)
st.markdown('<label class="feedback-label">What features would you like to see added?</label>', unsafe_allow_html=True)
missing_features = st.text_area("Missing Features", placeholder="Share your feature requests...", label_visibility="collapsed")
st.markdown('<label class="feedback-label">How can we improve?</label>', unsafe_allow_html=True)
improvement_suggestions = st.text_area("Improvement Suggestions", placeholder="Your suggestions for improvement...", label_visibility="collapsed")
st.markdown('<label class="feedback-label">Tell us about your experience</label>', unsafe_allow_html=True)
user_experience = st.text_area("User Experience", placeholder="Share your experience with us...", label_visibility="collapsed")
st.markdown('</div>', unsafe_allow_html=True)
# Submit Button
if st.button("Submit Feedback", key="submit_feedback"):
try:
# Create progress bar
progress_bar = st.progress(0)
status_text = st.empty()
# Simulate processing with animation
for i in range(100):
progress_bar.progress(i + 1)
if i < 30:
status_text.text("Processing feedback... 📝")
elif i < 60:
status_text.text("Analyzing responses... 🔍")
elif i < 90:
status_text.text("Saving to database... 💾")
else:
status_text.text("Finalizing... ✨")
time.sleep(0.01)
# Save feedback
feedback_data = {
'rating': rating,
'usability_score': usability_score,
'feature_satisfaction': feature_satisfaction,
'missing_features': missing_features,
'improvement_suggestions': improvement_suggestions,
'user_experience': user_experience
}
self.save_feedback(feedback_data)
# Clear progress elements
progress_bar.empty()
status_text.empty()
# Show success message with animation
success_container = st.empty()
success_container.markdown("""
<div style="text-align: center; padding: 20px; background: linear-gradient(90deg, rgba(76, 175, 80, 0.1), rgba(33, 150, 243, 0.1)); border-radius: 10px;">
<h2 style="color: #4CAF50;">Thank You! 🎉</h2>
<p style="color: #E0E0E0;">Your feedback helps us improve Smart Resume AI</p>
</div>
""", unsafe_allow_html=True)
# Show balloons animation
st.balloons()
# Keep success message visible
time.sleep(2)
except Exception as e:
st.error(f"Error submitting feedback: {str(e)}")
def render_feedback_stats(self):
"""Render feedback statistics"""
stats = self.get_feedback_stats()
st.markdown("""
<div style="text-align: center; padding: 15px; background: linear-gradient(90deg, rgba(76, 175, 80, 0.1), rgba(33, 150, 243, 0.1)); border-radius: 10px; margin-bottom: 20px;">
<h3 style="color: #E0E0E0;">Feedback Overview 📊</h3>
</div>
""", unsafe_allow_html=True)
cols = st.columns(4)
metrics = [
{"label": "Total Responses", "value": f"{stats['total_responses']:,}", "delta": "↗"},
{"label": "Avg Rating", "value": f"{stats['avg_rating']:.1f}/5.0", "delta": "⭐"},
{"label": "Usability Score", "value": f"{stats['avg_usability']:.1f}/5.0", "delta": "🎯"},
{"label": "Satisfaction", "value": f"{stats['avg_satisfaction']:.1f}/5.0", "delta": "😊"}
]
for col, metric in zip(cols, metrics):
col.markdown(f"""
<div style="background: rgba(255, 255, 255, 0.05); padding: 15px; border-radius: 8px; text-align: center;">
<div style="color: #B0B0B0; font-size: 0.9em;">{metric['label']}</div>
<div style="font-size: 1.5em; color: #4CAF50; margin: 5px 0;">{metric['value']}</div>
<div style="color: #E0E0E0; font-size: 1.2em;">{metric['delta']}</div>
</div>
""", unsafe_allow_html=True)
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