Files
DECNET/decnet/realism/personas_pool.py
anti 0b9873982d refactor(realism): move emailgen LLM/personas/prompt into shared library
Lift the format-agnostic pieces from decnet/orchestrator/emailgen/
into the new decnet/realism/ library so file-class content generation
(stage 3 of the realism migration) can reuse them. Email-specific
delivery (RFC 2822 EML, IMAP/POP3 spool, thread chains) stays in
orchestrator/.

Renames (history-preserving git mv):
  emailgen/personas.py     -> realism/personas.py
  emailgen/prompt.py       -> realism/prompts/email.py
  emailgen/global_pool.py  -> realism/personas_pool.py
  emailgen/llm/            -> realism/llm/

Env-var clean break (pre-v1, no aliases):
  DECNET_EMAILGEN_LLM      -> DECNET_REALISM_LLM
  DECNET_EMAILGEN_MODEL    -> DECNET_REALISM_MODEL
  DECNET_EMAILGEN_TIMEOUT  -> DECNET_REALISM_TIMEOUT
  DECNET_EMAILGEN_PERSONAS -> DECNET_REALISM_PERSONAS
  DECNET_EMAILGEN_FAKE_OUTPUT -> DECNET_REALISM_FAKE_OUTPUT

Importers rewritten in: orchestrator/emailgen/scheduler.py,
orchestrator/drivers/email.py, web/router/{emailgen,topology}/
api_personas.py, cli/emailgen.py. Tests for moved modules relocated
to tests/realism/; tests for stay-put modules updated in place.

API URL `/api/v1/emailgen/personas` and CLI `decnet emailgen
import-personas` keep their public names until the service-collapse
commit (stage 5).
2026-04-27 16:05:43 -04:00

146 lines
5.3 KiB
Python

"""Global persona pool — non-topology deckies.
DECNET runs in three deployment shapes that emit running deckies:
* **MazeNET topologies** — each topology owns its own
:attr:`Topology.email_personas` JSON list; consumers walk from the
decky back to its parent topology row.
* **Unihost fleet** — MACVLAN/IPVLAN deckies that have no
parent topology row at all. They share one host-wide pool.
* **SWARM shards** — DeckyShard rows on enrolled workers.
Same shape as fleet for realism purposes (no parent topology row),
so they read the same global pool.
This module owns the global pool: a JSON file on disk that operators
populate via ``decnet realism import-personas <file>`` (or by editing
the file directly). The file is loaded lazily on first read and
re-loaded on mtime change so a CLI import takes effect for the running
worker without a restart.
Path resolution order:
1. ``DECNET_REALISM_PERSONAS`` environment variable — explicit override.
2. ``/etc/decnet/email_personas.json`` — canonical master path; this is
what ``decnet init`` will eventually own. Filename retained
(``email_personas.json``) because the on-disk schema hasn't changed
and operators may already have committed copies.
3. ``~/.decnet/email_personas.json`` — dev fallback so a developer can
exercise consumers without root or ``decnet init``.
When the file is missing / empty / unparseable, the pool is empty and
consumers skip fleet/shard deckies the same way they skip a topology
with too few personas. No silent fallback to dummy personas; silence
is correct when there's no opinion to convey.
"""
from __future__ import annotations
import os
import threading
from pathlib import Path
from typing import Optional
from decnet.logging import get_logger
from decnet.realism.personas import EmailPersona, parse_personas
logger = get_logger("realism.personas_pool")
_ENV_VAR = "DECNET_REALISM_PERSONAS"
_SYSTEM_PATH = Path("/etc/decnet/email_personas.json")
def _user_path() -> Path:
return Path(os.path.expanduser("~/.decnet/email_personas.json"))
def resolve_path() -> Path:
"""Return the path the global pool would load from right now.
The file may not exist; callers are expected to handle that. The
function is pure (no I/O) so the ``decnet realism import-personas``
CLI can ask "where would I write to?" without touching the disk.
"""
override = os.environ.get(_ENV_VAR, "").strip()
if override:
return Path(override)
if _SYSTEM_PATH.exists():
return _SYSTEM_PATH
# ``/etc/decnet`` exists on a fully-provisioned host (post ``decnet
# init``) but may be read-only for the API user on dev boxes — fall
# back to the user path when the directory isn't writable so a fresh
# PUT lands somewhere instead of erroring out. We only do this when
# the system file doesn't exist yet; once it does, it's authoritative.
if _SYSTEM_PATH.parent.exists() and os.access(_SYSTEM_PATH.parent, os.W_OK):
return _SYSTEM_PATH
return _user_path()
# ── Cache ────────────────────────────────────────────────────────────────────
# Lock-protected because two scheduler ticks could race on the first load,
# and the read path is hot enough (every tick, every fleet/shard mail
# decky) that re-parsing on every call is wasteful.
_lock = threading.Lock()
_cache: list[EmailPersona] = []
_cache_path: Optional[Path] = None
_cache_mtime: float = 0.0
def load(*, language_default: str = "en") -> list[EmailPersona]:
"""Return the parsed global persona pool.
*language_default* fills in any persona missing a ``language`` field;
fleet/shard sources have no topology-level default, so callers
should pass the worker's best guess (typically ``"en"``).
Threadsafe and cheap on the steady state (mtime check + dict lookup);
expensive only when the file changed since the last call.
"""
path = resolve_path()
try:
st = path.stat()
except OSError:
with _lock:
global _cache, _cache_path, _cache_mtime
_cache = []
_cache_path = path
_cache_mtime = 0.0
return []
with _lock:
if (
_cache_path == path
and _cache_mtime == st.st_mtime
and _cache # non-empty cache; empty re-parses cheaply anyway
):
return _cache
try:
raw = path.read_text(encoding="utf-8")
except OSError as exc:
logger.warning("realism global pool: read failed path=%s: %s", path, exc)
return []
parsed = parse_personas(raw, language_default=language_default)
with _lock:
_cache = parsed
_cache_path = path
_cache_mtime = st.st_mtime
if parsed:
logger.info(
"realism global pool: loaded %d personas from %s", len(parsed), path,
)
return parsed
def reset_cache() -> None:
"""Clear the in-process cache.
Test-only helper — avoids stale state when several tests in the
same process exercise different on-disk pools.
"""
global _cache, _cache_path, _cache_mtime
with _lock:
_cache = []
_cache_path = None
_cache_mtime = 0.0