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1bd1563 199800a 1bd1563 199800a 1bd1563 199800a 1bd1563 199800a 1bd1563 199800a 1bd1563 199800a 1bd1563 199800a 1bd1563 199800a 1bd1563 b1da6de 1bd1563 199800a 1bd1563 199800a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 | """SQLite database connection manager for the Enterprise AI Assistant."""
import os
import sqlite3
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
from logger.logging import get_logger
from utils.config_loader import ConfigLoader
logger = get_logger(__name__)
class DatabaseManager:
"""Manages SQLite database connections and operations."""
def __init__(self):
try:
self.config = ConfigLoader()
self.db_path = os.environ.get(
"DATABASE_PATH",
self.config.get("database.path", "database/ecommerce.db"),
)
self._ensure_db_exists()
logger.info(f"DatabaseManager initialized with {self.db_path}")
except Exception as e:
error_msg = f"Error in DatabaseManager Initialization -> {str(e)}"
logger.error(error_msg)
raise Exception(error_msg)
def _ensure_db_exists(self):
"""Create and seed database if it doesn't exist."""
db_file = Path(self.db_path)
if not db_file.exists():
logger.info("Database not found, creating and seeding...")
from database.seed_data import seed_database
seed_database(self.db_path)
def _get_connection(self) -> sqlite3.Connection:
"""Get a database connection with row factory."""
conn = sqlite3.connect(self.db_path)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA foreign_keys = ON")
return conn
def execute_query(
self, sql: str, params: tuple = (), max_rows: int = 100
) -> Dict[str, Any]:
"""Execute a SELECT query and return results."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
import time
start = time.time()
cursor.execute(sql, params)
rows = cursor.fetchmany(max_rows)
elapsed_ms = round((time.time() - start) * 1000, 2)
columns = (
[desc[0] for desc in cursor.description] if cursor.description else []
)
data = [dict(row) for row in rows]
return {
"columns": columns,
"rows": data,
"row_count": len(data),
"execution_time_ms": elapsed_ms,
"sql": sql,
"truncated": len(data) == max_rows,
}
except Exception as e:
error_msg = f"Error executing query -> {str(e)}"
logger.error(error_msg)
return {
"error": error_msg,
"sql": sql,
"rows": [],
"columns": [],
"row_count": 0,
}
finally:
if conn:
conn.close()
def get_schema(self) -> str:
"""Return the full database schema as DDL."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"SELECT sql FROM sqlite_master WHERE type='table' AND sql IS NOT NULL ORDER BY name"
)
tables = cursor.fetchall()
schema_parts = []
for table in tables:
schema_parts.append(table["sql"] + ";")
return "\n\n".join(schema_parts)
except Exception as e:
error_msg = f"Error getting schema -> {str(e)}"
logger.error(error_msg)
return ""
finally:
if conn:
conn.close()
def get_table_names(self) -> List[str]:
"""Return list of table names."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%' ORDER BY name"
)
tables = [row["name"] for row in cursor.fetchall()]
return tables
except Exception as e:
logger.error(f"Error getting table names -> {str(e)}")
return []
finally:
if conn:
conn.close()
def get_table_info(self, table_name: str) -> Dict[str, Any]:
"""Get detailed info about a table."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
# Column info
cursor.execute(f"PRAGMA table_info('{table_name}')")
columns = [
{
"name": r["name"],
"type": r["type"],
"notnull": r["notnull"],
"pk": r["pk"],
}
for r in cursor.fetchall()
]
# Row count
cursor.execute(f"SELECT COUNT(*) as count FROM '{table_name}'")
row_count = cursor.fetchone()["count"]
return {
"table_name": table_name,
"columns": columns,
"row_count": row_count,
}
except Exception as e:
logger.error(f"Error getting table info for {table_name} -> {str(e)}")
return {
"table_name": table_name,
"columns": [],
"row_count": 0,
"error": str(e),
}
finally:
if conn:
conn.close()
def get_sample_rows(self, table_name: str, limit: int = 5) -> Dict[str, Any]:
"""Get sample rows from a table."""
return self.execute_query(
f"SELECT * FROM '{table_name}' LIMIT ?", (limit,), max_rows=limit
)
def get_schema_summary(self) -> str:
"""Get a formatted schema summary with table info and sample data for LLM context."""
try:
tables = self.get_table_names()
# Exclude internal tables
tables = [t for t in tables if t != "cost_tracking"]
summary_parts = ["## E-Commerce Database Schema\n"]
for table in tables:
info = self.get_table_info(table)
summary_parts.append(f"### Table: {table} ({info['row_count']} rows)")
col_lines = []
for col in info["columns"]:
pk = " [PK]" if col["pk"] else ""
nn = " NOT NULL" if col["notnull"] else ""
col_lines.append(f" - {col['name']} ({col['type']}{pk}{nn})")
summary_parts.append("\n".join(col_lines))
# Sample data
sample = self.get_sample_rows(table, limit=3)
if sample.get("rows"):
sample_rows = sample["rows"][:2]
# Clean sample rows to truncate long strings
cleaned_samples = []
for row in sample_rows:
cleaned_row = {}
for k, v in row.items():
if isinstance(v, str) and len(v) > 100:
cleaned_row[k] = v[:100] + "..."
else:
cleaned_row[k] = v
cleaned_samples.append(cleaned_row)
summary_parts.append(f" Sample: {cleaned_samples}")
summary_parts.append("")
return "\n".join(summary_parts)
except Exception as e:
logger.error(f"Error getting schema summary -> {str(e)}")
return "Error loading schema"
def record_cost(
self,
request_id: str,
query: str,
model_name: str,
prompt_tokens: int,
completion_tokens: int,
total_tokens: int,
estimated_cost_usd: float,
latency_ms: float = None,
tools_used: str = None,
guardrail_flags: str = None,
success: bool = True,
):
"""Record a cost tracking entry."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"""INSERT INTO cost_tracking
(request_id, query, model_name, prompt_tokens, completion_tokens,
total_tokens, estimated_cost_usd, latency_ms, tools_used, guardrail_flags, success)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(
request_id,
query,
model_name,
prompt_tokens,
completion_tokens,
total_tokens,
estimated_cost_usd,
latency_ms,
tools_used,
guardrail_flags,
success,
),
)
conn.commit()
except Exception as e:
logger.error(f"Error recording cost -> {str(e)}")
finally:
if conn:
conn.close()
|