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sync-telemetry.py
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executable file
·215 lines (183 loc) · 5.93 KB
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#!/usr/bin/env python3
from __future__ import annotations
import argparse
import csv
import json
import os
import subprocess
import sys
from pathlib import Path
DEFAULT_INPUT = Path(os.path.expanduser("~/.codedb/telemetry.ndjson"))
DEFAULT_SCHEMA = Path(__file__).resolve().parents[1] / "docs" / "telemetry" / "postgres-schema.sql"
COPY_COLUMNS = [
"timestamp_ms",
"event_type",
"tool",
"latency_ns",
"error",
"response_bytes",
"file_count",
"total_lines",
"languages",
"index_size_bytes",
"startup_time_ms",
"version",
"platform",
]
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Sync codedb telemetry NDJSON into Postgres.",
)
parser.add_argument(
"input",
nargs="?",
default=str(DEFAULT_INPUT),
help="telemetry NDJSON file to ingest",
)
parser.add_argument(
"--dsn",
default=os.environ.get("DATABASE_URL"),
help="Postgres DSN (defaults to DATABASE_URL)",
)
parser.add_argument(
"--schema",
default=str(DEFAULT_SCHEMA),
help="schema SQL file to apply before loading",
)
parser.add_argument(
"--dry-run",
action="store_true",
help="print normalized CSV rows instead of loading Postgres",
)
return parser.parse_args()
def coerce_timestamp_ms(record: dict[str, object]) -> int:
value = record.get("timestamp_ms")
if value is None:
value = record.get("ts")
if value is None:
raise ValueError("missing timestamp")
value = int(value)
if value < 1_000_000_000_000:
value *= 1000
return int(value)
def coerce_event_type(record: dict[str, object]) -> str:
value = record.get("event_type") or record.get("ev") or record.get("kind")
if value is None:
raise ValueError("missing event type")
value = str(value)
if value == "tool":
return "tool_call"
if value == "start":
return "session_start"
return value
def coerce_bool(record: dict[str, object], *keys: str) -> bool | None:
for key in keys:
if key in record:
value = record[key]
if value is None:
return None
return bool(value)
return None
def coerce_int(record: dict[str, object], *keys: str) -> int | None:
for key in keys:
if key in record:
value = record[key]
if value is None:
return None
return int(value)
return None
def format_pg_array(items: list[str]) -> str:
if not items:
return "{}"
escaped = []
for item in items:
safe = item.replace("\\", "\\\\").replace('"', '\\"')
if any(ch in item for ch in ',{}"\\ '):
escaped.append(f'"{safe}"')
else:
escaped.append(safe)
return "{" + ",".join(escaped) + "}"
def coerce_languages(record: dict[str, object]) -> str | None:
value = record.get("languages")
if value is None:
return None
if isinstance(value, list):
items = [str(item) for item in value if str(item)]
else:
items = [part.strip() for part in str(value).split(",") if part.strip()]
return format_pg_array(items)
def normalize(record: dict[str, object]) -> list[object | None]:
return [
coerce_timestamp_ms(record),
coerce_event_type(record),
record.get("tool"),
coerce_int(record, "latency_ns", "ns"),
coerce_bool(record, "error", "err"),
coerce_int(record, "response_bytes", "bytes"),
coerce_int(record, "file_count", "files"),
coerce_int(record, "total_lines", "lines"),
coerce_languages(record),
coerce_int(record, "index_size_bytes"),
coerce_int(record, "startup_time_ms"),
record.get("version"),
record.get("platform"),
]
def apply_schema(dsn: str, schema: str) -> None:
subprocess.run(
["psql", dsn, "-v", "ON_ERROR_STOP=1", "-f", schema],
check=True,
)
def load_rows(dsn: str, rows: list[list[object | None]]) -> None:
copy_sql = (
"COPY codedb_events ("
+ ", ".join(COPY_COLUMNS)
+ ") FROM STDIN WITH (FORMAT csv, NULL '')"
)
proc = subprocess.Popen(
["psql", dsn, "-v", "ON_ERROR_STOP=1", "-c", copy_sql],
stdin=subprocess.PIPE,
text=True,
)
assert proc.stdin is not None
writer = csv.writer(proc.stdin)
for row in rows:
writer.writerow(["" if value is None else value for value in row])
proc.stdin.close()
code = proc.wait()
if code != 0:
raise subprocess.CalledProcessError(code, proc.args)
def main() -> int:
args = parse_args()
input_path = Path(args.input)
if not input_path.exists():
print(f"error: input file not found: {input_path}", file=sys.stderr)
return 1
rows: list[list[object | None]] = []
with input_path.open("r", encoding="utf-8") as fh:
for line_no, line in enumerate(fh, 1):
line = line.strip()
if not line:
continue
try:
record = json.loads(line)
except json.JSONDecodeError as err:
print(f"error: line {line_no}: invalid JSON: {err.msg}", file=sys.stderr)
return 1
if not isinstance(record, dict):
print(f"error: line {line_no}: expected JSON object", file=sys.stderr)
return 1
rows.append(normalize(record))
if args.dry_run:
writer = csv.writer(sys.stdout)
writer.writerow(COPY_COLUMNS)
for row in rows:
writer.writerow(["" if value is None else value for value in row])
return 0
if not args.dsn:
print("error: --dsn or DATABASE_URL is required", file=sys.stderr)
return 1
apply_schema(args.dsn, args.schema)
load_rows(args.dsn, rows)
return 0
if __name__ == "__main__":
raise SystemExit(main())