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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())

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