The release-validation milestone, and the thing it had to settle first was whether any of the earlier evidence meant what it said. M8 measured a deployment enforcing a 4,096-token input window while the application budgeted 16,384. Every request returned 200. What Ollama does with the excess is drop the oldest tokens, and the oldest tokens here are the system block — the narrator's rules and the campaign canon. A hundred-turn certification against that server would have looked perfect and proved nothing, which is why this milestone could not begin with a hundred turns. So the application asks now. Ollama's window is a property of how a model was loaded rather than of the request — sending num_ctx is accepted, ignored, and worse, reloads the model at the server's own default — so the only honest move is to find out and then tell the truth about it. /api/ps reports what a resident model is being served with, /api/show what an unloaded one will load with, both on the same host inference already uses, through the same endpoint policy and the same TLS trust store. A verified window is a ceiling on the budget; an unverified one leaves the budget alone and is recorded as unverified in the turn's own provenance, so an old turn can be asked afterwards whether it was built against a checked window. There is no third behaviour, and in particular no hard-coded 4,096: a number the server did not say would be right on one machine and wrong on the next. The proof that this is doing something is a campaign whose canon sits at the front of the prompt, 120 turns of history, and a 4,096-token window. The canon is still there afterwards and the oldest history is gone. The same campaign built the old way produces a prompt more than twice the window — the defect, reproduced, so the fix is measured against it rather than asserted. Two defects the validation found on its own, and they are the same defect twice: something was true and nobody was told. A manual state correction of four changes with one bad reference applied three, returned 201, and said nothing — while recording the refusal on the audit row nobody reads. It came to light because the identity diagnostic's own fixture was refused that way and the whole run proceeded on a campaign with no scene, which would have read as a model failure. And the narration-length setting moved no number: brief, medium and long each became one English sentence, while the numeric hint the model actually reads was derived from the global reply cap and said the same thing for all three. Both now say what they did. The other two post-M8 findings are closed as well. The tab said AI D&D, which no document had ever claimed it did not; it says Interactive Story now, with the open campaign first, and the name is the owner's decision rather than a find-and-replace to something narrower than the engine. After an Undo the reader could not tell where they had landed; the control row now ends with "Moment 11 · later story ahead", from the server's own answer, in the word the transcript already uses, with none of head, branch or depth anywhere near it. The identity diagnostic exists and the root cause does not. That campaign was destroyed, so no cause can be established — what M11 owes the finding is something that can classify the next occurrence, and a diagnostic that makes only the judgements a program can honestly make: duplicate keys, shared names, protagonist drift, state and context disagreeing. Whether prose misattributed a line is left to a person reading it beside its prompt, because a regex cannot read dialogue and one that pretended to would produce exactly the confident wrong answer this finding is about. Its detectors are proved to fire against a planted second Alice. Two entities may still share a display name. That was checked first, as the finding asked, and left permitted: a mother and a daughter, or a stranger giving a false name, are ordinary fiction, and refusing them to guard against a model mistake would refuse the wrong thing. What was missing was that it happened silently. It is reported now. Evidence, not inference: a hundred accepted turns against a real narrator with genuine process restarts; a real browser against the built SPA; a container with no network at all; a campaign moved into a data directory that never existed. Each was discarded and re-run whenever the product changed under it, and the runs that were thrown away are listed in the report with the reason, along with ten defects in the harnesses themselves — because a harness that has only ever agreed with itself is not evidence, and two of M8's five harness defects were masking real ones. No dependency was added, removed or upgraded. No acceptance test was retired, relaxed or reclassified. M11 is implemented and verified; it is not accepted, and there is no release tag. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Qyn3oRd4D6pi72nKBG725B
188 lines
7.7 KiB
Python
188 lines
7.7 KiB
Python
"""M5: reading the authoritative narrative state, and correcting it by hand.
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Three endpoints, and the split between them is the point:
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GET /state what the campaign currently believes
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POST /state/corrections the user overruling it (C04)
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GET /state/events how it came to believe that (§8's audit)
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The browser reads the first and writes the second. It never writes state
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directly — `BUILD-MILESTONES.md` M5 is explicit that the browser is a
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presentation layer and must not become the owner of state — so a correction goes
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through the same validator, the same applier and the same event log as a
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narration does. The only difference is the `source` recorded on it, and that
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difference is the whole of C04's audit requirement.
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The state returned here is always the state at the **active head**, because that
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is what `adventure.narrative_state` holds: head movement restores it from the
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destination node's snapshot, so an undone story is described by what was true
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then rather than by what the campaign later became.
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"""
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from fastapi import Depends, HTTPException
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from sqlalchemy.orm import Session
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from ... import head, models, narrative, schemas
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from ...database import get_db
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from . import turns
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from .deps import current_adventure, router
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@router.get("/{adventure_id}/state", response_model=schemas.NarrativeStateOut)
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def read_state(
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db: Session = Depends(get_db),
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adventure: models.Adventure = Depends(current_adventure),
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):
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"""The authoritative state at the position the story is being read at.
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Grouped for display, with only the categories that actually hold something —
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a heading with no rows under it tells a reader nothing, and the panel should
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not have to decide what to hide.
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"""
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state = narrative.store.current(adventure)
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view = narrative.render.for_inspector(state)
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return schemas.NarrativeStateOut(
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groups=[schemas.StateGroup(**group) for group in view["groups"]],
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empty=view["empty"],
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# The raw document, for the correction form to name a key with and for a
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# test to assert on without parsing prose.
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document=state,
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duplicate_names=narrative.model.duplicate_names(state),
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)
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@router.post(
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"/{adventure_id}/state/corrections",
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response_model=schemas.NarrativeStateOut,
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status_code=201,
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)
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def correct_state(
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adventure_id: int,
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payload: schemas.StateCorrection,
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db: Session = Depends(get_db),
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adventure: models.Adventure = Depends(current_adventure),
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):
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"""Applies the user's own state events, as an explicit correction.
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C04. The user says "Mara never learned where the silver key was found", and
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that becomes authoritative for everything that follows — while the transcript
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stays exactly as it was written. Correcting the world is not editing the
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story, and conflating them would rewrite prose the user did not ask to
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change.
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The events go through the **same validator** as a narration's. A user is
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trusted more than a model, but not with references that do not resolve or
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with an event type the application does not implement: a typo should be a
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clear refusal, not a corrupt document. What being trusted buys is authority —
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the resulting facts carry `manual_correction`, which outranks
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`accepted_story` when the two disagree, and which the prompt renders so the
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model is told the reader overruled it.
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Held under the turn lock, for the reason creating a Save Point is: this reads
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the head and writes a snapshot onto the node the head rests on, and a turn in
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flight is about to move both.
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"""
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if not payload.events:
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raise HTTPException(400, "A correction needs at least one change.")
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turns.acquire_turn_lock(adventure_id)
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try:
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state = narrative.store.current(adventure)
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review = narrative.validate.review(
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{"events": [event.model_dump(exclude_none=True) for event in payload.events]},
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state,
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narrative.store.canon_of(adventure),
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)
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if not review.accepted:
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raise HTTPException(400, _refusal_message(review))
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# M11: a correction can be partly refused — one bad reference among four
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# good changes — and until M11 that came back as an unqualified success.
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# Partial application is the deliberate behaviour (`validate.py`: losing
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# three good changes to one typo is worse), so what M11 adds is the
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# telling, not a change of behaviour.
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refused = [
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{"event": rejection.event, "reason": rejection.reason,
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"detail": rejection.detail}
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for rejection in review.rejected
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]
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node = head.node_at(db, adventure, adventure.head_depth)
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new_state, _proposal = narrative.store.record(
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db, adventure,
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review=review,
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raw_block=payload.note or "",
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parsed={"events": [e.model_dump(exclude_none=True) for e in payload.events]},
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action=node,
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branch_id=node.branch_id if node is not None else adventure.head_branch_id,
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depth=node.depth if node is not None else adventure.head_depth,
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source="manual_correction",
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)
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narrative.store.set_current(adventure, new_state)
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# The correction belongs to the position it was made at, so a later Undo
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# past it drops it and a Redo back brings it again — the same rule every
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# other state change follows. Without re-snapshotting the node, the
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# correction would survive a head movement that stepped over it.
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if node is not None:
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node.narrative_state_after = new_state
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adventure.updated_at = models.utcnow()
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db.commit()
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db.refresh(adventure)
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finally:
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turns._active_turns.discard(adventure_id)
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state_now = narrative.store.current(adventure)
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view = narrative.render.for_inspector(state_now)
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return schemas.NarrativeStateOut(
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groups=[schemas.StateGroup(**group) for group in view["groups"]],
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empty=view["empty"],
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document=state_now,
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duplicate_names=narrative.model.duplicate_names(state_now),
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refused=refused,
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)
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def _refusal_message(review) -> str:
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"""Why a correction was refused, in the words the user needs.
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The first rejection's detail, because a correction is usually one or two
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events and a wall of them helps nobody.
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"""
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if review.rejected:
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first = review.rejected[0]
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return f"That correction can't be applied — {first.detail or first.reason}."
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return "That correction can't be applied."
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@router.get("/{adventure_id}/state/events", response_model=list[schemas.StateEventOut])
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def read_state_events(
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limit: int = 100,
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db: Session = Depends(get_db),
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adventure: models.Adventure = Depends(current_adventure),
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):
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"""The accepted state changes, newest first: §8's audit trail.
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What changed, which turn caused it, whether the model or the user asserted
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it, and what the value was before. Bounded by default — this is an audit
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view, and an unbounded read of a long campaign's every event is the query
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shape this project keeps a regression test about.
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"""
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limit = max(1, min(limit, 500))
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rows = narrative.store.history(db, adventure, limit=limit)
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return [
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schemas.StateEventOut(
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id=row.id,
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action_id=row.action_id,
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branch_id=row.branch_id,
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depth=row.depth,
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turn=(row.depth + 1) if row.depth is not None else None,
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sequence=row.sequence,
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event_type=row.event_type,
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payload=row.payload or {},
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before=row.before,
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source=row.source,
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created_at=row.created_at,
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)
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for row in rows
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]
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