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9c7d451 175746c 9c7d451 175746c 9c7d451 bf779b5 9c7d451 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 | """SQLite storage implementation for Headroom SDK."""
from __future__ import annotations
import json
import sqlite3
from collections.abc import Iterator
from datetime import datetime
from pathlib import Path
from typing import Any
from ..config import RequestMetrics
from ..utils import format_timestamp, parse_timestamp
from .base import Storage
class SQLiteStorage(Storage):
"""SQLite-based metrics storage."""
def __init__(self, db_path: str):
"""
Initialize SQLite storage.
Args:
db_path: Path to SQLite database file.
"""
self.db_path = db_path
self._ensure_db_exists()
self._conn: sqlite3.Connection | None = None
def _ensure_db_exists(self) -> None:
"""Create database and tables if they don't exist."""
path = Path(self.db_path)
path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS requests (
id TEXT PRIMARY KEY,
timestamp TEXT NOT NULL,
model TEXT NOT NULL,
stream INTEGER NOT NULL,
mode TEXT NOT NULL,
tokens_input_before INTEGER NOT NULL,
tokens_input_after INTEGER NOT NULL,
tokens_output INTEGER,
block_breakdown TEXT NOT NULL,
waste_signals TEXT NOT NULL,
stable_prefix_hash TEXT,
cache_alignment_score REAL,
cached_tokens INTEGER,
transforms_applied TEXT NOT NULL,
tool_units_dropped INTEGER DEFAULT 0,
turns_dropped INTEGER DEFAULT 0,
messages_hash TEXT,
error TEXT
)
""")
# Create indices
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_timestamp ON requests(timestamp)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_model ON requests(model)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_mode ON requests(mode)
""")
conn.commit()
finally:
conn.close()
def _get_conn(self) -> sqlite3.Connection:
"""Get or create connection."""
if self._conn is None:
self._conn = sqlite3.connect(self.db_path)
self._conn.row_factory = sqlite3.Row
return self._conn
def save(self, metrics: RequestMetrics) -> None:
"""Save request metrics."""
conn = self._get_conn()
cursor = conn.cursor()
cursor.execute(
"""
INSERT OR REPLACE INTO requests (
id, timestamp, model, stream, mode,
tokens_input_before, tokens_input_after, tokens_output,
block_breakdown, waste_signals,
stable_prefix_hash, cache_alignment_score, cached_tokens,
transforms_applied, tool_units_dropped, turns_dropped,
messages_hash, error
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
metrics.request_id,
format_timestamp(metrics.timestamp),
metrics.model,
1 if metrics.stream else 0,
metrics.mode,
metrics.tokens_input_before,
metrics.tokens_input_after,
metrics.tokens_output,
json.dumps(metrics.block_breakdown),
json.dumps(metrics.waste_signals),
metrics.stable_prefix_hash,
metrics.cache_alignment_score,
metrics.cached_tokens,
json.dumps(metrics.transforms_applied),
metrics.tool_units_dropped,
metrics.turns_dropped,
metrics.messages_hash,
metrics.error,
),
)
conn.commit()
def get(self, request_id: str) -> RequestMetrics | None:
"""Get metrics by request ID."""
conn = self._get_conn()
cursor = conn.cursor()
cursor.execute("SELECT * FROM requests WHERE id = ?", (request_id,))
row = cursor.fetchone()
if row is None:
return None
return self._row_to_metrics(row)
def query(
self,
start_time: datetime | None = None,
end_time: datetime | None = None,
model: str | None = None,
mode: str | None = None,
limit: int = 100,
offset: int = 0,
) -> list[RequestMetrics]:
"""Query metrics with filters."""
conn = self._get_conn()
cursor = conn.cursor()
query = "SELECT * FROM requests WHERE 1=1"
params: list[Any] = []
if start_time is not None:
query += " AND timestamp >= ?"
params.append(format_timestamp(start_time))
if end_time is not None:
query += " AND timestamp <= ?"
params.append(format_timestamp(end_time))
if model is not None:
query += " AND model = ?"
params.append(model)
if mode is not None:
query += " AND mode = ?"
params.append(mode)
query += " ORDER BY timestamp DESC LIMIT ? OFFSET ?"
params.extend([limit, offset])
cursor.execute(query, params)
rows = cursor.fetchall()
return [self._row_to_metrics(row) for row in rows]
def count(
self,
start_time: datetime | None = None,
end_time: datetime | None = None,
model: str | None = None,
mode: str | None = None,
) -> int:
"""Count metrics matching filters."""
conn = self._get_conn()
cursor = conn.cursor()
query = "SELECT COUNT(*) FROM requests WHERE 1=1"
params: list[Any] = []
if start_time is not None:
query += " AND timestamp >= ?"
params.append(format_timestamp(start_time))
if end_time is not None:
query += " AND timestamp <= ?"
params.append(format_timestamp(end_time))
if model is not None:
query += " AND model = ?"
params.append(model)
if mode is not None:
query += " AND mode = ?"
params.append(mode)
cursor.execute(query, params)
result = cursor.fetchone()[0]
return int(result) if result is not None else 0
def iter_all(self) -> Iterator[RequestMetrics]:
"""Iterate over all stored metrics."""
conn = self._get_conn()
cursor = conn.cursor()
cursor.execute("SELECT * FROM requests ORDER BY timestamp")
for row in cursor:
yield self._row_to_metrics(row)
def get_summary_stats(
self,
start_time: datetime | None = None,
end_time: datetime | None = None,
) -> dict[str, Any]:
"""Get summary statistics."""
conn = self._get_conn()
cursor = conn.cursor()
where_clause = "WHERE 1=1"
params: list[Any] = []
if start_time is not None:
where_clause += " AND timestamp >= ?"
params.append(format_timestamp(start_time))
if end_time is not None:
where_clause += " AND timestamp <= ?"
params.append(format_timestamp(end_time))
cursor.execute(
f"""
SELECT
COUNT(*) as total_requests,
SUM(tokens_input_before) as total_tokens_before,
SUM(tokens_input_after) as total_tokens_after,
SUM(tokens_input_before - tokens_input_after) as total_tokens_saved,
AVG(tokens_input_before - tokens_input_after) as avg_tokens_saved,
AVG(cache_alignment_score) as avg_cache_alignment,
SUM(CASE WHEN mode = 'audit' THEN 1 ELSE 0 END) as audit_count,
SUM(CASE WHEN mode = 'optimize' THEN 1 ELSE 0 END) as optimize_count
FROM requests
{where_clause}
""",
params,
)
row = cursor.fetchone()
return {
"total_requests": row[0] or 0,
"total_tokens_before": row[1] or 0,
"total_tokens_after": row[2] or 0,
"total_tokens_saved": row[3] or 0,
"avg_tokens_saved": row[4] or 0,
"avg_cache_alignment": row[5] or 0,
"audit_count": row[6] or 0,
"optimize_count": row[7] or 0,
}
def _row_to_metrics(self, row: sqlite3.Row) -> RequestMetrics:
"""Convert database row to RequestMetrics."""
return RequestMetrics(
request_id=row["id"],
timestamp=parse_timestamp(row["timestamp"]),
model=row["model"],
stream=bool(row["stream"]),
mode=row["mode"],
tokens_input_before=row["tokens_input_before"],
tokens_input_after=row["tokens_input_after"],
tokens_output=row["tokens_output"],
block_breakdown=json.loads(row["block_breakdown"]),
waste_signals=json.loads(row["waste_signals"]),
stable_prefix_hash=row["stable_prefix_hash"] or "",
cache_alignment_score=row["cache_alignment_score"] or 0.0,
cached_tokens=row["cached_tokens"],
transforms_applied=json.loads(row["transforms_applied"]),
tool_units_dropped=row["tool_units_dropped"] or 0,
turns_dropped=row["turns_dropped"] or 0,
messages_hash=row["messages_hash"] or "",
error=row["error"],
)
def close(self) -> None:
"""Close database connection."""
if self._conn is not None:
self._conn.close()
self._conn = None
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