feat: ChatGPT chat-log importer

Import the parser's {title, messages} JSON into Lyra's memory so past
conversations seed recall (and, later, the era-rollup tier).

- lyra/ingest.py: one conversation -> one session, text messages -> exchanges;
  skips non-text (image asset) messages and non user/assistant roles; embeddings
  batched; idempotent by filename-derived session id; `lyra-import <dir>` CLI
- memory.add_exchanges_bulk: batched insert of pre-embedded rows

Format has no timestamps yet, so imports are stamped at import time; a future
dated export will let era memory group by real calendar time.

Verified on the 68-file lyra dev set: 7519 exchanges, idempotent re-run, recall
returns relevant history.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-16 00:51:45 +00:00
parent 236a16b331
commit f3037b7879
3 changed files with 110 additions and 0 deletions
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@@ -0,0 +1,93 @@
"""Import parsed ChatGPT chat logs into Lyra's memory.
Consumes the parser's `{"title": ..., "messages": [{"role", "content"}]}` format
(one JSON file per conversation). Each conversation becomes a Lyra session; each
text message becomes an exchange. Embeddings are batched. Import is idempotent —
a conversation already present (by session id) is skipped.
Timestamps: this format carries no dates, so imported exchanges are stamped with
`created_at` (default: now). A future timestamped export will let era memory group
by real calendar time; pass real per-message dates then.
"""
from __future__ import annotations
import json
import sys
from datetime import datetime, timezone
from pathlib import Path
from lyra import llm, logbus, memory
EMBED_BATCH = 64
EMBED_CHAR_CAP = 6000 # cap embed input size; full content is still stored
def _session_id(path: Path) -> str:
"""Stable id derived from the filename, so re-imports don't duplicate."""
return "import-" + path.stem
def _clean_messages(messages: list[dict]) -> list[tuple[str, str]]:
out: list[tuple[str, str]] = []
for m in messages:
role = m.get("role")
if role not in ("user", "assistant"):
continue
content = (m.get("content") or "").strip()
if not content or content.startswith('{"content_type"'): # skip empty / image assets
continue
out.append((role, content))
return out
def import_file(path: Path, created_at: str) -> int:
"""Import one conversation file. Returns exchanges added (0 if skipped/empty)."""
data = json.loads(path.read_text(encoding="utf-8"))
session_id = _session_id(path)
if memory.history(session_id): # already imported
return 0
msgs = _clean_messages(data.get("messages", []))
if not msgs:
return 0
memory.ensure_session(session_id, name=data.get("title") or path.stem)
rows: list[tuple[str, str, list[float], str]] = []
for i in range(0, len(msgs), EMBED_BATCH):
batch = msgs[i : i + EMBED_BATCH]
embeddings = llm.embed([content[:EMBED_CHAR_CAP] for _, content in batch])
for (role, content), emb in zip(batch, embeddings):
rows.append((role, content, emb, created_at))
return memory.add_exchanges_bulk(session_id, rows)
def import_dir(dirpath: str | Path, created_at: str | None = None) -> dict:
"""Import every *.json under dirpath (recursively). Returns a small report."""
created_at = created_at or datetime.now(timezone.utc).isoformat()
files = sorted(Path(dirpath).rglob("*.json"))
sessions, exchanges = 0, 0
for path in files:
added = import_file(path, created_at)
if added:
sessions += 1
exchanges += added
logbus.log(
"info", "import complete", dir=str(dirpath),
files=len(files), sessions=sessions, exchanges=exchanges,
)
return {"files": len(files), "sessions_imported": sessions, "exchanges": exchanges}
def main() -> int:
if len(sys.argv) < 2:
print("usage: lyra-import <dir-of-chat-json>", file=sys.stderr)
return 2
report = import_dir(sys.argv[1])
print(report)
return 0
if __name__ == "__main__":
raise SystemExit(main())
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@@ -108,6 +108,22 @@ def remember(session_id: str, role: str, content: str) -> int:
return int(cur.lastrowid) return int(cur.lastrowid)
def add_exchanges_bulk(session_id: str, rows: list[tuple[str, str, list[float], str]]) -> int:
"""Insert many pre-embedded exchanges at once.
Each row is (role, content, embedding, created_at). Used by the importer to
avoid one INSERT (and one embed round-trip) per message. Returns row count.
"""
conn = _connection()
with conn:
conn.executemany(
"INSERT INTO exchanges (session_id, role, content, embedding, created_at) "
"VALUES (?, ?, ?, ?, ?)",
[(session_id, role, content, _to_blob(emb), ca) for role, content, emb, ca in rows],
)
return len(rows)
def recent(session_id: str, n: int = 10) -> list[Exchange]: def recent(session_id: str, n: int = 10) -> list[Exchange]:
"""Last `n` exchanges from a session, oldest first.""" """Last `n` exchanges from a session, oldest first."""
conn = _connection() conn = _connection()
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@@ -16,6 +16,7 @@ dependencies = [
[project.scripts] [project.scripts]
lyra = "lyra.__main__:main" lyra = "lyra.__main__:main"
lyra-web = "lyra.web.server:serve" lyra-web = "lyra.web.server:serve"
lyra-import = "lyra.ingest:main"
[dependency-groups] [dependency-groups]
dev = [ dev = [