New dashboard surface for editing the global emailgen persona pool — the JSON file fleet (MACVLAN/IPVLAN) and SWARM-shard mail deckies pull from. MazeNET topology personas are out of scope here; they're configured per-topology in the topology editor. Backend: * GET/PUT /api/v1/emailgen/personas — admin-write, viewer-read. PUT validates with the same Pydantic schema the worker uses (parse_personas), drops invalid entries with a warning, returns 400 only when the entire payload fails. Path is operator-discoverable on every response so a CLI-driven backup workflow stays visible. Frontend: * PersonaGeneration.tsx + .css — table + add/edit modal with the full EmailPersona schema (name, email, role, tone, mannerisms list, language, signature, active hours, reply latency, uses_llms_heavily). Local edits are batched; explicit "SAVE CHANGES" writes back, with a dirty-indicator pill and a "DISCARD" reset. Email uniqueness is enforced client-side so the scheduler never picks the same persona as both sender + recipient. * Sidebar AUTOMATION group gains a "Persona Generation" entry next to Orchestrator; route registered at /persona-generation. The worker reads the same on-disk file the API writes — see decnet.orchestrator.emailgen.global_pool. The API resets the in-process cache on every read/write so the worker picks up dashboard edits within its next tick rather than waiting on mtime.
127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
"""GET/PUT ``/api/v1/emailgen/personas`` — global persona pool CRUD.
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The "global pool" is a JSON file consumed by the emailgen worker for
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fleet (MACVLAN/IPVLAN) and SWARM-shard mail deckies — see
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:mod:`decnet.orchestrator.emailgen.global_pool`. MazeNET topology
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mail deckies use ``Topology.email_personas`` instead and are
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configured per-topology elsewhere.
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This endpoint is the API surface behind the dashboard's "Persona
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Generation" page. Reads accept admin or viewer; writes are admin-only
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because the persistence target is a config file the worker reads on
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its hot path.
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Concurrency: last-write-wins. The pool is operator-curated and small
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(<50 entries typically); the cost of a stronger model isn't justified.
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"""
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from __future__ import annotations
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import json
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from typing import Any
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from fastapi import APIRouter, Depends, HTTPException
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from decnet.logging import get_logger
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from decnet.orchestrator.emailgen import global_pool
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from decnet.orchestrator.emailgen.personas import EmailPersona, parse_personas
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from decnet.telemetry import traced as _traced
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from decnet.web.dependencies import require_admin, require_viewer
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from decnet.web.db.models.common import MessageResponse # noqa: F401 - response shape
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router = APIRouter()
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log = get_logger("api.emailgen.personas")
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def _serialize(personas: list[EmailPersona]) -> list[dict[str, Any]]:
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"""Pydantic → plain dicts for the response body."""
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return [p.model_dump(exclude_none=False) for p in personas]
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@router.get(
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"/emailgen/personas",
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tags=["Emailgen"],
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responses={
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401: {"description": "Could not validate credentials"},
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403: {"description": "Insufficient permissions"},
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},
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)
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@_traced("api.emailgen.list_personas")
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async def list_personas(
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user: dict = Depends(require_viewer),
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) -> dict[str, Any]:
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"""Return the current global persona pool + the resolved file path.
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The ``path`` field lets the dashboard show operators where the file
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lives on disk so a CLI-driven backup / git-tracked workflow stays
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discoverable.
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"""
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# Reset the in-process cache before reading so a fresh CLI-driven
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# ``decnet emailgen import-personas`` shows up immediately rather
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# than waiting on the worker's mtime check.
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global_pool.reset_cache()
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personas = global_pool.load()
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return {
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"path": str(global_pool.resolve_path()),
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"personas": _serialize(personas),
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}
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@router.put(
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"/emailgen/personas",
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tags=["Emailgen"],
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responses={
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400: {"description": "Invalid persona payload"},
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401: {"description": "Could not validate credentials"},
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403: {"description": "Insufficient permissions"},
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},
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)
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@_traced("api.emailgen.replace_personas")
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async def replace_personas(
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body: dict[str, Any],
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user: dict = Depends(require_admin),
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) -> dict[str, Any]:
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"""Replace the entire global pool with the supplied list.
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Body shape: ``{"personas": [<EmailPersona>, ...]}``.
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Validation is the same path the worker uses (``parse_personas``):
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invalid entries are dropped with a warning rather than failing the
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whole request — operators see exactly what landed by reading back
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the GET response. An entirely-invalid payload returns 400.
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"""
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raw = body.get("personas")
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if not isinstance(raw, list):
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raise HTTPException(
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status_code=400,
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detail="body.personas must be a list",
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)
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parsed = parse_personas(raw)
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if raw and not parsed:
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# Operator sent a non-empty list and *every* entry was invalid —
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# almost certainly a schema mistake on their side; fail loudly
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# rather than silently writing an empty pool.
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raise HTTPException(
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status_code=400,
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detail=(
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"All persona entries failed validation. Required fields: "
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"name, email (user@host.tld), role, tone, mannerisms."
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),
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)
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dest = global_pool.resolve_path()
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dest.parent.mkdir(parents=True, exist_ok=True)
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dest.write_text(
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json.dumps(_serialize(parsed), indent=2, ensure_ascii=False),
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encoding="utf-8",
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)
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global_pool.reset_cache()
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log.info(
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"api.emailgen.replace_personas user=%s wrote=%d path=%s",
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user.get("username", user.get("uuid")), len(parsed), dest,
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)
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return {
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"path": str(dest),
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"personas": _serialize(parsed),
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}
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