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FabledCurator/backend/app/models/post.py
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bvandeusenandClaude Opus 5 73eeb7a377
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feat: FC authors the post that Discord never wrote (milestone 388 step E2)
Discord is a delivery channel, not a publisher. One message is not one post,
and today every message lands as its own `post` row, so chat lines compete
with authored work for the same surface. Rather than demote them into a
second-class feed, FC now writes the post itself: one row per DROP, its
images the drop's images, its body the messages' text in arrival order.

Synthesising a `Post` (rather than inventing a parallel entity) is the whole
point — the result is post-shaped by construction, so feed, provenance,
translation, attachments and series keep working on it unchanged.

The predicate is three axes ANDed, and the time one does the real work:

    same source  AND  cosine distance <= threshold  AND  no gap > window

Similarity alone over-groups, and that is the failure that would make this
useless: any two pieces of the same character by the same artist sit close in
SigLIP space, so a cosine-only rule collapses a month of one character into a
single "post". Two details inside the predicate are load-bearing —

* distance is measured to the group's SEED, never to the previous member,
  because chaining lets a group DRIFT: twenty small steps walk from one piece
  to a completely different one, each hop individually within threshold;
* the window is measured between CONSECUTIVE messages, not from the first, so
  an artist trickling variants out over an evening stays one drop.

Why a post-import sweep and not part of ingest. The obvious alternative was to
migrate Discord to the native post-first ingester (#1266) and group at capture
time. That cannot work: the grouping signal is `siglip_embedding`, which is
produced asynchronously AFTER import (tasks/ml.py, the GPU backfill), so at
capture time there is nothing to group on. Grouping is necessarily something
that happens once the vectors catch up — hence a re-runnable sweep that skips
what it cannot yet place, and an hourly (not daily) cadence.

The honesty rule, enforced in the schema. `post.synthesized_by` names the
grouper; `synthesis_details` records the members, the count, and the
thresholds AS THEY WERE (they are operator-tunable, so without that "why did
it group these" is unanswerable a month later). Member posts are absorbed, not
destroyed — they remain the images' true origin and the audit trail — and
`absorbed_by_post_id` is ON DELETE SET NULL, so deleting a synthetic post
releases its members back into the feed in one DELETE with no repair step.
`post_title` stays NULL deliberately: a synthesised title is the one place
this could put words in a creator's mouth.

Two guards the first draft would have failed:

* the per-run cap took the lowest post IDs, not the oldest posts — DISTINCT ON
  forces its own ORDER BY, so the sort now happens outside the subquery;
* a cap landing mid-drop would have published a truncated group claiming to be
  a whole drop, so the last group is left for the next run.

And one vacuous test caught before it shipped: the support vector perturbed a
single component of an all-ones vector, moving it ~1e-6, so every distance
assertion passed regardless of what the predicate did. `_vec` now builds a
unit vector at a stated angle, where distance is exactly 1 - cos(delta) —
rule 167, a guard has to be able to fail.

UI (rule 27) follows in the next commit.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LNXXULQDjVZmbuNa2G9mD9
2026-09-10 11:15:14 -04:00

139 lines
6.7 KiB
Python

"""Post — provenance anchor for one creator post (may contain many images).
`source_id` is nullable since alembic 0030 — filesystem-imported posts
with no live subscription have NULL source_id. `artist_id` is the
denormalized always-present link to the creator (added in 0030 so
artist-filter queries don't depend on the Source detour).
"""
from datetime import datetime
from sqlalchemy import (
JSON,
CheckConstraint,
DateTime,
ForeignKey,
Index,
Integer,
String,
Text,
UniqueConstraint,
func,
text,
)
from sqlalchemy.orm import Mapped, mapped_column
from .base import Base
class Post(Base):
__tablename__ = "post"
__table_args__ = (
# alembic 0030. The comment above described this index; nothing declared
# it, so autogenerate proposed dropping it (#3275).
Index("uq_post_artist_external_id_null_source", "artist_id", "external_post_id",
unique=True, postgresql_where=text("source_id IS NULL")),
# Source-bound dedup. Postgres treats NULL != NULL so rows
# with source_id IS NULL aren't deduped by this constraint;
# the partial unique index `uq_post_artist_external_id_null_source`
# (created in alembic 0030) covers that case via
# (artist_id, external_post_id).
UniqueConstraint("source_id", "external_post_id", name="uq_post_source_external_id"),
CheckConstraint(
"translation_override IN ('auto', 'force', 'original')",
# Bare name: Base.metadata's naming convention prepends
# ck_<table>_. Pre-prefixing it here doubles the prefix — see
# alembic 0088, which renames the four constraints that shipped
# that way (#3275).
name="translation_override",
),
)
id: Mapped[int] = mapped_column(Integer, primary_key=True)
source_id: Mapped[int | None] = mapped_column(
ForeignKey("source.id", ondelete="SET NULL"), nullable=True, index=True
)
# Denormalized; always equals source.artist_id when source_id is set
# (the importer is responsible for keeping them consistent on insert).
# Filter queries (artist detail, artist-scoped posts feed) use this
# directly instead of joining through Source.
artist_id: Mapped[int] = mapped_column(
ForeignKey("artist.id", ondelete="CASCADE"),
nullable=False, index=True,
)
external_post_id: Mapped[str] = mapped_column(String(128), nullable=False)
post_url: Mapped[str | None] = mapped_column(Text, nullable=True)
post_title: Mapped[str | None] = mapped_column(Text, nullable=True)
post_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
raw_metadata: Mapped[dict | None] = mapped_column(JSON, nullable=True)
description: Mapped[str | None] = mapped_column(Text, nullable=True)
attachment_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
# -- Post-text translation (milestone 143). Filled by the translate_posts
# sweep via the Interpreter LAN service so viewing is instant.
# translated_source_lang is the DETECTED original language; "en" (or a
# passthrough) means nothing to translate and the *_translated columns stay
# NULL. engine_version keys the Interpreter cache — re-runs are ~1ms and a
# model upgrade re-translates instead of serving stale.
post_title_translated: Mapped[str | None] = mapped_column(Text, nullable=True)
description_translated: Mapped[str | None] = mapped_column(Text, nullable=True)
translated_source_lang: Mapped[str | None] = mapped_column(
String(8), nullable=True
)
translation_engine_version: Mapped[str | None] = mapped_column(
String(128), nullable=True
)
translated_at: Mapped[datetime | None] = mapped_column(
DateTime(timezone=True), nullable=True
)
# Sticky per-post override of the translation decision (milestone 155):
# 'auto' = the acceptance gate decides; 'force' = always store Interpreter's
# translation even below the confidence floor (rescue a skipped legit-foreign
# title); 'original' = never translate, keep the original (kill a confidently
# mis-flagged one the floor can't catch). The sweep reads this on every run,
# and re-translate leaves 'original' posts alone, so the choice survives a
# Re-translate-all.
translation_override: Mapped[str] = mapped_column(
String(16), nullable=False, default="auto", server_default="auto",
)
downloaded_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False, server_default=func.now()
)
# -- Synthetic posts (milestone 388). ----------------------------------
# Discord is a delivery CHANNEL, not a publisher: one message is not one
# post. So FC authors the post itself, grouping a creator's variant drop
# into a single row (services/discord_grouping.py).
#
# NULL for every post a creator actually wrote — which is all of them until
# a grouper runs. Non-NULL names the grouper that authored this row, and is
# the ONE flag the UI keys off to say so. The honesty rule is the whole
# point: a synthetic post must never present itself as authored, and a
# column that is absent-or-a-name makes "was this us?" answerable from the
# row rather than inferred from its shape.
#
# Plain String, no CHECK (rule 36 considered and declined) — same reasoning
# as source.error_type and service_seen.kind. There is exactly one grouper
# today; a second would be a value, not an invariant.
synthesized_by: Mapped[str | None] = mapped_column(String(32), nullable=True)
# What it was built from, so the operator can audit a grouping FC invented:
# member post ids, message count, and the thresholds in force when the
# decision was made. That last part matters — the thresholds are operator-
# tunable, so "why did it group these" is unanswerable a month later
# without recording the values that produced it.
synthesis_details: Mapped[dict | None] = mapped_column(JSON, nullable=True)
# Set on a MEMBER post, pointing at the synthetic post that absorbed it.
# The feed hides absorbed posts (they are the chat lines the synthetic post
# replaced); every other surface still reaches them by id, because they
# remain the image's true origin and the grouping has to be inspectable.
#
# Self-FK, ON DELETE SET NULL: deleting a synthetic post un-absorbs its
# members and they return to the feed on their own. That is the reversal
# path, and it is one DELETE — nothing to undo by hand.
absorbed_by_post_id: Mapped[int | None] = mapped_column(
ForeignKey("post.id", ondelete="SET NULL"), nullable=True, index=True
)