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from datetime import datetime
def get_database_connection():
"""Create and return a database connection"""
conn = sqlite3.connect('resume_data.db')
return conn
def init_database():
"""Initialize database tables"""
conn = get_database_connection()
cursor = conn.cursor()
# Create resume_data table
cursor.execute('''
CREATE TABLE IF NOT EXISTS resume_data (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
email TEXT NOT NULL,
phone TEXT NOT NULL,
linkedin TEXT,
github TEXT,
portfolio TEXT,
summary TEXT,
target_role TEXT,
target_category TEXT,
education TEXT,
experience TEXT,
projects TEXT,
skills TEXT,
template TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
''')
# Create resume_skills table
cursor.execute('''
CREATE TABLE IF NOT EXISTS resume_skills (
id INTEGER PRIMARY KEY AUTOINCREMENT,
resume_id INTEGER,
skill_name TEXT NOT NULL,
skill_category TEXT NOT NULL,
proficiency_score REAL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (resume_id) REFERENCES resume_data (id)
)
''')
# Create resume_analysis table
cursor.execute('''
CREATE TABLE IF NOT EXISTS resume_analysis (
id INTEGER PRIMARY KEY AUTOINCREMENT,
resume_id INTEGER,
ats_score REAL,
keyword_match_score REAL,
format_score REAL,
section_score REAL,
missing_skills TEXT,
recommendations TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (resume_id) REFERENCES resume_data (id)
)
''')
# Create admin_logs table
cursor.execute('''
CREATE TABLE IF NOT EXISTS admin_logs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
admin_email TEXT NOT NULL,
action TEXT NOT NULL,
timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
''')
# Create admin table
cursor.execute('''
CREATE TABLE IF NOT EXISTS admin (
id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT NOT NULL UNIQUE,
password TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
''')
conn.commit()
conn.close()
def save_resume_data(data):
"""Save resume data to database"""
conn = get_database_connection()
cursor = conn.cursor()
try:
personal_info = data.get('personal_info', {})
cursor.execute('''
INSERT INTO resume_data (
name, email, phone, linkedin, github, portfolio,
summary, target_role, target_category, education,
experience, projects, skills, template
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
''', (
personal_info.get('full_name', ''),
personal_info.get('email', ''),
personal_info.get('phone', ''),
personal_info.get('linkedin', ''),
personal_info.get('github', ''),
personal_info.get('portfolio', ''),
data.get('summary', ''),
data.get('target_role', ''),
data.get('target_category', ''),
str(data.get('education', [])),
str(data.get('experience', [])),
str(data.get('projects', [])),
str(data.get('skills', [])),
data.get('template', '')
))
conn.commit()
return cursor.lastrowid
except Exception as e:
print(f"Error saving resume data: {str(e)}")
conn.rollback()
return None
finally:
conn.close()
def save_analysis_data(resume_id, analysis):
"""Save resume analysis data"""
conn = get_database_connection()
cursor = conn.cursor()
try:
cursor.execute('''
INSERT INTO resume_analysis (
resume_id, ats_score, keyword_match_score,
format_score, section_score, missing_skills,
recommendations
) VALUES (?, ?, ?, ?, ?, ?, ?)
''', (
resume_id,
float(analysis.get('ats_score', 0)),
float(analysis.get('keyword_match_score', 0)),
float(analysis.get('format_score', 0)),
float(analysis.get('section_score', 0)),
analysis.get('missing_skills', ''),
analysis.get('recommendations', '')
))
conn.commit()
except Exception as e:
print(f"Error saving analysis data: {str(e)}")
conn.rollback()
finally:
conn.close()
def get_resume_stats():
"""Get statistics about resumes"""
conn = get_database_connection()
cursor = conn.cursor()
try:
# Get total resumes
cursor.execute('SELECT COUNT(*) FROM resume_data')
total_resumes = cursor.fetchone()[0]
# Get average ATS score
cursor.execute('SELECT AVG(ats_score) FROM resume_analysis')
avg_ats_score = cursor.fetchone()[0] or 0
# Get recent activity
cursor.execute('''
SELECT name, target_role, created_at
FROM resume_data
ORDER BY created_at DESC
LIMIT 5
''')
recent_activity = cursor.fetchall()
return {
'total_resumes': total_resumes,
'avg_ats_score': round(avg_ats_score, 2),
'recent_activity': recent_activity
}
except Exception as e:
print(f"Error getting resume stats: {str(e)}")
return None
finally:
conn.close()
def log_admin_action(admin_email, action):
"""Log admin login/logout actions"""
conn = get_database_connection()
cursor = conn.cursor()
try:
cursor.execute('''
INSERT INTO admin_logs (admin_email, action)
VALUES (?, ?)
''', (admin_email, action))
conn.commit()
except Exception as e:
print(f"Error logging admin action: {str(e)}")
finally:
conn.close()
def get_admin_logs():
"""Get all admin login/logout logs"""
conn = get_database_connection()
cursor = conn.cursor()
try:
cursor.execute('''
SELECT admin_email, action, timestamp
FROM admin_logs
ORDER BY timestamp DESC
''')
return cursor.fetchall()
except Exception as e:
print(f"Error getting admin logs: {str(e)}")
return []
finally:
conn.close()
def get_all_resume_data():
"""Get all resume data for admin dashboard"""
conn = get_database_connection()
cursor = conn.cursor()
try:
# Get resume data joined with analysis data
cursor.execute('''
SELECT
r.id,
r.name,
r.email,
r.phone,
r.linkedin,
r.github,
r.portfolio,
r.target_role,
r.target_category,
r.created_at,
a.ats_score,
a.keyword_match_score,
a.format_score,
a.section_score
FROM resume_data r
LEFT JOIN resume_analysis a ON r.id = a.resume_id
ORDER BY r.created_at DESC
''')
return cursor.fetchall()
except Exception as e:
print(f"Error getting resume data: {str(e)}")
return []
finally:
conn.close()
def verify_admin(email, password):
"""Verify admin credentials"""
conn = get_database_connection()
cursor = conn.cursor()
try:
cursor.execute('SELECT * FROM admin WHERE email = ? AND password = ?', (email, password))
result = cursor.fetchone()
return bool(result)
except Exception as e:
print(f"Error verifying admin: {str(e)}")
return False
finally:
conn.close()
def add_admin(email, password):
"""Add a new admin"""
conn = get_database_connection()
cursor = conn.cursor()
try:
cursor.execute('INSERT INTO admin (email, password) VALUES (?, ?)', (email, password))
conn.commit()
return True
except Exception as e:
print(f"Error adding admin: {str(e)}")
return False
finally:
conn.close()
def save_ai_analysis_data(resume_id, analysis_data):
"""Save AI analysis data to the database"""
conn = get_database_connection()
cursor = conn.cursor()
try:
# Check if the ai_analysis table exists
cursor.execute("""
CREATE TABLE IF NOT EXISTS ai_analysis (
id INTEGER PRIMARY KEY AUTOINCREMENT,
resume_id INTEGER,
model_used TEXT,
resume_score INTEGER,
job_role TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (resume_id) REFERENCES resume_data (id)
)
""")
# Insert the analysis data
cursor.execute("""
INSERT INTO ai_analysis (
resume_id, model_used, resume_score, job_role
) VALUES (?, ?, ?, ?)
""", (
resume_id,
analysis_data.get('model_used', ''),
analysis_data.get('resume_score', 0),
analysis_data.get('job_role', '')
))
conn.commit()
return cursor.lastrowid
except Exception as e:
print(f"Error saving AI analysis data: {e}")
conn.rollback()
raise
finally:
conn.close()
def get_ai_analysis_stats():
"""Get statistics about AI analyzer usage"""
conn = get_database_connection()
cursor = conn.cursor()
try:
# Check if the ai_analysis table exists
cursor.execute("""
SELECT name FROM sqlite_master WHERE type='table' AND name='ai_analysis'
""")
if not cursor.fetchone():
return {
"total_analyses": 0,
"model_usage": [],
"average_score": 0,
"top_job_roles": []
}
# Get total number of analyses
cursor.execute("SELECT COUNT(*) FROM ai_analysis")
total_analyses = cursor.fetchone()[0]
# Get model usage statistics
cursor.execute("""
SELECT model_used, COUNT(*) as count
FROM ai_analysis
GROUP BY model_used
ORDER BY count DESC
""")
model_usage = [{"model": row[0], "count": row[1]} for row in cursor.fetchall()]
# Get average resume score
cursor.execute("SELECT AVG(resume_score) FROM ai_analysis")
average_score = cursor.fetchone()[0] or 0
# Get top job roles
cursor.execute("""
SELECT job_role, COUNT(*) as count
FROM ai_analysis
GROUP BY job_role
ORDER BY count DESC
LIMIT 5
""")
top_job_roles = [{"role": row[0], "count": row[1]} for row in cursor.fetchall()]
return {
"total_analyses": total_analyses,
"model_usage": model_usage,
"average_score": round(average_score, 1),
"top_job_roles": top_job_roles
}
except Exception as e:
print(f"Error getting AI analysis stats: {e}")
return {
"total_analyses": 0,
"model_usage": [],
"average_score": 0,
"top_job_roles": []
}
finally:
conn.close()
def get_detailed_ai_analysis_stats():
"""Get detailed statistics about AI analyzer usage including daily trends"""
conn = get_database_connection()
cursor = conn.cursor()
try:
# Check if the ai_analysis table exists
cursor.execute("""
SELECT name FROM sqlite_master WHERE type='table' AND name='ai_analysis'
""")
if not cursor.fetchone():
return {
"total_analyses": 0,
"model_usage": [],
"average_score": 0,
"top_job_roles": [],
"daily_trend": [],
"score_distribution": [],
"recent_analyses": []
}
# Get total number of analyses
cursor.execute("SELECT COUNT(*) FROM ai_analysis")
total_analyses = cursor.fetchone()[0]
# Get model usage statistics
cursor.execute("""
SELECT model_used, COUNT(*) as count
FROM ai_analysis
GROUP BY model_used
ORDER BY count DESC
""")
model_usage = [{"model": row[0], "count": row[1]} for row in cursor.fetchall()]
# Get average resume score
cursor.execute("SELECT AVG(resume_score) FROM ai_analysis")
average_score = cursor.fetchone()[0] or 0
# Get top job roles
cursor.execute("""
SELECT job_role, COUNT(*) as count
FROM ai_analysis
GROUP BY job_role
ORDER BY count DESC
LIMIT 5
""")
top_job_roles = [{"role": row[0], "count": row[1]} for row in cursor.fetchall()]
# Get daily trend for the last 7 days
cursor.execute("""
SELECT DATE(created_at) as date, COUNT(*) as count
FROM ai_analysis
WHERE created_at >= date('now', '-7 days')
GROUP BY DATE(created_at)
ORDER BY date
""")
daily_trend = [{"date": row[0], "count": row[1]} for row in cursor.fetchall()]
# Get score distribution
score_ranges = [
{"min": 0, "max": 20, "range": "0-20"},
{"min": 21, "max": 40, "range": "21-40"},
{"min": 41, "max": 60, "range": "41-60"},
{"min": 61, "max": 80, "range": "61-80"},
{"min": 81, "max": 100, "range": "81-100"}
]
score_distribution = []
for range_info in score_ranges:
cursor.execute("""
SELECT COUNT(*) FROM ai_analysis
WHERE resume_score >= ? AND resume_score <= ?
""", (range_info["min"], range_info["max"]))
count = cursor.fetchone()[0]
score_distribution.append({"range": range_info["range"], "count": count})
# Get recent analyses
cursor.execute("""
SELECT model_used, resume_score, job_role, datetime(created_at) as date
FROM ai_analysis
ORDER BY created_at DESC
LIMIT 5
""")
recent_analyses = [
{
"model": row[0],
"score": row[1],
"job_role": row[2],
"date": row[3]
} for row in cursor.fetchall()
]
return {
"total_analyses": total_analyses,
"model_usage": model_usage,
"average_score": round(average_score, 1),
"top_job_roles": top_job_roles,
"daily_trend": daily_trend,
"score_distribution": score_distribution,
"recent_analyses": recent_analyses
}
except Exception as e:
print(f"Error getting detailed AI analysis stats: {e}")
return {
"total_analyses": 0,
"model_usage": [],
"average_score": 0,
"top_job_roles": [],
"daily_trend": [],
"score_distribution": [],
"recent_analyses": []
}
finally:
conn.close()
def reset_ai_analysis_stats():
"""Reset AI analysis statistics by truncating the ai_analysis table"""
conn = get_database_connection()
cursor = conn.cursor()
try:
# Check if the ai_analysis table exists
cursor.execute("""
SELECT name FROM sqlite_master WHERE type='table' AND name='ai_analysis'
""")
if not cursor.fetchone():
return {"success": False, "message": "AI analysis table does not exist"}
# Delete all records from the ai_analysis table
cursor.execute("DELETE FROM ai_analysis")
conn.commit()
return {"success": True, "message": "AI analysis statistics have been reset successfully"}
except Exception as e:
conn.rollback()
print(f"Error resetting AI analysis stats: {e}")
return {"success": False, "message": f"Error resetting AI analysis statistics: {str(e)}"}
finally:
conn.close() |