homelab-codex-ws/jobs/gmail-header-backfill/src/gmail_header_backfill/backfill.py

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feat(gmail-header-backfill): one-shot job — backfill headers into envelope.entities Module 5 phase 2 (docs/kb/modules/05-faza2-plan.md, §5). 225,030 existing source='gmail' envelope rows carry only an attachment manifest — no from/to/cc/delivered_to/subject anywhere in the DB, which blocks answering "is this on me or my wife" / distinguishing aliases (plan §1.8). Separate job from gmail-bulk-import per plan §2 decision 7: UPDATE semantics against production data is a different risk profile than the historical INSERT job. Parses headers only (no MIME-walk of attachments) from the archived .eml files, appends {"type": "headers", ...} (plan §4.1) via the idempotent UPDATE ... WHERE NOT EXISTS from §5.2, batched via executemany. --limit/ --offset (ORDER BY id) give stable, deterministic partitioning so the full backfill can run and be verified in slices instead of one unattended pass. Plain CLI (pip install -e), no Dockerfile — same convention as gmail-bulk-import/documents-ingest, which run directly on PIHA for local filesystem access to the .eml archive. Verified against kb-postgres@PIHA (100-row dry-run + apply, re-run proved idempotent no-op, 1000-row timed slice): 1096/225030 rows backfilled, 996/1000 succeeded on the timed slice (4 parse_errors — a 2014 spam message with an RFC 2047 encoded-word decoding to an embedded newline in the From display name, correctly caught and skipped rather than crashing the batch). Extrapolated full-run time ~16 minutes. Full 225,030-row run is out of scope for this change. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-14 15:34:07 +02:00
"""Gmail header backfill — one-shot job, module 5 phase 2 (docs/kb/modules/05-faza2-plan.md, §5).
Backfills `{"type": "headers", ...}` (§4.1) onto the 225 030 existing `source='gmail'`
envelope rows in kb-postgres, which today carry only an attachment manifest. This is an
UPDATE against production data (not an INSERT like gmail-bulk-import) a deliberately
separate job from gmail-bulk-import, see plan §2 decision 7.
Runs on PIHA (needs local access to the .eml archive):
Install (from repo root):
pip install -e jobs/gmail-header-backfill/
Usage:
# Dry run (default) — parse and count only, no DB writes:
gmail-header-backfill --dsn postgresql://kb:<pw>@localhost:5433/kb --limit 100
# Real run — apply the UPDATE for this slice:
gmail-header-backfill --dsn ... --limit 1000 --offset 0 --apply
# Next slice (stable, deterministic partitioning by id order):
gmail-header-backfill --dsn ... --limit 1000 --offset 1000 --apply
DSN can also come from the KB_DSN env var instead of --dsn.
Idempotency: the UPDATE only touches rows that don't already carry a `headers` entity
(§5.2 `WHERE NOT EXISTS`), so re-running any slice (including after a crash) is safe
already-backfilled rows are skipped, not double-appended.
"""
from __future__ import annotations
import argparse
import asyncio
import email
import email.policy
import email.utils
import json
import os
import sys
from pathlib import Path
from typing import Optional
import asyncpg
import structlog
_log = structlog.get_logger(__name__)
DEFAULT_ARCHIVE_ROOT = Path("/home/oskar/kb/mail/archive")
DEFAULT_LIMIT = 1000
UPDATE_BATCH_SIZE = 500
_UPDATE_SQL = """
UPDATE envelope
SET entities = entities || $2::jsonb
WHERE id = $1
AND NOT EXISTS (
SELECT 1 FROM jsonb_array_elements(entities) e WHERE e->>'type' = 'headers'
)
"""
def parse_headers(raw: bytes) -> dict:
"""Parse Gmail .eml headers into the `{"type": "headers", ...}` shape (plan §4.1).
`from`/`to`/`cc` are decoded via `email.policy.default` (resolves RFC 2047
encoded-words to real Unicode) and then split into {name, address} pairs with
`email.utils.getaddresses`. `delivered_to` is kept as a list of raw (decoded but
unparsed) strings `Delivered-To` may repeat per hop, and every occurrence is
kept (see plan §1.8/§4.1). `date_raw` comes from a separate compat32 parse: the
default policy's DateHeader reformats the header (e.g. corrects the weekday name,
zero-pads the day) instead of preserving the literal original text.
"""
msg = email.message_from_bytes(raw, policy=email.policy.default)
msg_compat = email.message_from_bytes(raw, policy=email.policy.compat32)
from_headers = msg.get_all("From") or []
if len(from_headers) > 1:
_log.warning("headers.multiple_from", count=len(from_headers))
from_obj: Optional[dict] = None
if from_headers:
from_addrs = email.utils.getaddresses([str(from_headers[0])])
if from_addrs and from_addrs[0][1]:
name, address = from_addrs[0]
from_obj = {"name": name or None, "address": address}
to_list = [
{"name": name or None, "address": address}
for name, address in email.utils.getaddresses(
[str(h) for h in (msg.get_all("To") or [])]
)
if address
]
cc_list = [
{"name": name or None, "address": address}
for name, address in email.utils.getaddresses(
[str(h) for h in (msg.get_all("Cc") or [])]
)
if address
]
delivered_to = [str(h) for h in (msg.get_all("Delivered-To") or [])]
subject_header = msg.get("Subject")
subject = str(subject_header) if subject_header is not None else None
date_raw = msg_compat.get("Date")
return {
"type": "headers",
"from": from_obj,
"to": to_list,
"cc": cc_list,
"delivered_to": delivered_to,
"subject": subject,
"date_raw": date_raw,
}
def _decode_jsonb(value: object) -> object:
"""asyncpg may return jsonb as a str or an already-decoded object."""
if value is None:
return None
if isinstance(value, str):
return json.loads(value)
return value
def _has_headers(entities: list) -> bool:
return any(isinstance(e, dict) and e.get("type") == "headers" for e in entities)
async def fetch_batch(conn: asyncpg.Connection, limit: int, offset: int) -> list:
"""One deterministic slice of `source='gmail'` envelopes, ordered by id.
Ordering by id (not filtering out already-backfilled rows here) keeps --offset
stable across runs the same --limit/--offset always names the same slice of the
225 030-row table, so partial runs can be resumed or re-verified predictably.
Idempotency itself is enforced by the UPDATE's WHERE NOT EXISTS (see _UPDATE_SQL).
"""
return await conn.fetch(
"""
SELECT id, raw_ref, entities
FROM envelope
WHERE source = 'gmail'
ORDER BY id
LIMIT $1 OFFSET $2
""",
limit,
offset,
)
async def _update_batch(conn: asyncpg.Connection, rows: list[tuple[str, str]]) -> None:
"""Multi-row UPDATE for one batch — a single executemany round, not one transaction per row."""
if not rows:
return
await conn.executemany(_UPDATE_SQL, rows)
_log.debug("update_batch_flushed", count=len(rows))
async def run(
dsn: str,
archive_root: Path = DEFAULT_ARCHIVE_ROOT,
limit: int = DEFAULT_LIMIT,
offset: int = 0,
apply: bool = False,
) -> dict[str, int]:
"""Backfill headers for one --limit/--offset slice of `source='gmail'` envelopes.
dry-run (apply=False) parses and counts everything without writing to the DB.
Returns stats: scanned, already_has_headers, updated, read_errors, parse_errors.
Anomalies that aren't errors (e.g. more than one From: header) are logged
(`headers.multiple_from`) rather than counted here see parse_headers().
"""
stats = {
"scanned": 0,
"already_has_headers": 0,
"updated": 0,
"read_errors": 0,
"parse_errors": 0,
}
conn = await asyncpg.connect(dsn)
try:
rows = await fetch_batch(conn, limit, offset)
pending: list[tuple[str, str]] = []
async def _flush() -> None:
if apply:
await _update_batch(conn, pending)
pending.clear()
for row in rows:
stats["scanned"] += 1
envelope_id = row["id"]
entities = _decode_jsonb(row["entities"]) or []
if _has_headers(entities):
stats["already_has_headers"] += 1
continue
eml_path = archive_root / row["raw_ref"]
try:
raw = eml_path.read_bytes()
except OSError:
_log.warning("skip.read_error", envelope_id=envelope_id, path=str(eml_path))
stats["read_errors"] += 1
continue
try:
headers = parse_headers(raw)
except Exception:
_log.warning("skip.parse_error", envelope_id=envelope_id, exc_info=True)
stats["parse_errors"] += 1
continue
stats["updated"] += 1
pending.append((envelope_id, json.dumps([headers])))
if len(pending) >= UPDATE_BATCH_SIZE:
await _flush()
await _flush()
finally:
await conn.close()
_log.info("run_complete", apply=apply, limit=limit, offset=offset, **stats)
return stats
def main() -> None:
parser = argparse.ArgumentParser(
description="Backfill {'type': 'headers', ...} onto existing source='gmail' "
"envelope rows in kb-postgres (module 5, phase 2 backfill — plan §5)."
)
parser.add_argument("--dsn", default=os.environ.get("KB_DSN"),
help="asyncpg DSN for kb-postgres (or set KB_DSN env var)")
parser.add_argument("--archive-root", type=Path, default=DEFAULT_ARCHIVE_ROOT,
help=f"Mail .eml archive root (default: {DEFAULT_ARCHIVE_ROOT})")
parser.add_argument("--limit", type=int, default=DEFAULT_LIMIT,
help=f"Envelopes in this slice (default: {DEFAULT_LIMIT})")
parser.add_argument("--offset", type=int, default=0,
help="Slice offset, ordered by envelope id (default: 0)")
parser.add_argument("--apply", action="store_true",
help="Actually write the UPDATE. Default is dry-run (parse + count only).")
args = parser.parse_args()
if not args.dsn:
_log.error("missing_dsn", hint="pass --dsn or set KB_DSN")
sys.exit(1)
if not args.archive_root.is_dir():
_log.error("archive_root_not_found", path=str(args.archive_root))
sys.exit(1)
stats = asyncio.run(
run(
dsn=args.dsn,
archive_root=args.archive_root,
limit=args.limit,
offset=args.offset,
apply=args.apply,
)
)
mode = "APPLY" if args.apply else "DRY-RUN"
_log.info("summary", mode=mode, **stats)
sys.exit(1 if stats["read_errors"] + stats["parse_errors"] > 0 else 0)
if __name__ == "__main__":
main()