Update the FOMC events dataset

PIPELINE.md

@@ -213,8 +213,16 @@ python -m recipe.cli verify           # the gate and the manifest, over what is
 python -m recipe.cli publish          # mirror to Hugging Face, gate first
 ```
 
-The document cache is not published. A scheduled run restores the tables from
-the dataset repository and fetches only what it does not already have.
+The document cache is not published, so a scheduled run starts from the tables
+in the dataset repository instead. A finished auction's result artifact cannot
+change, so a run that already holds the row does not ask TreasuryDirect for it
+again: the first build reads 6 229 artifacts in about thirty-five minutes, and
+every run after it reuses them and finishes in **four seconds**.
+
+Only rows whose instant came from an artifact are reused. A row dated to the
+end of its day is one whose artifact was never found, and the next run looks
+again in case the Treasury has since published one. `--rebuild` ignores held
+rows entirely, which is what a parser change needs.
 
 ## Scheduling
 

README.md

@@ -276,6 +276,21 @@ the public domain. The Department does not endorse, certify or verify this
 dataset. The additions here — the release instants, the long-form curves, the
 validation — are Apache-2.0.
 
+## Rebuilding it
+
+The first build reads 6 229 auction artifacts and takes about thirty-five
+minutes. Every run after that reuses them — a finished auction's result cannot
+change — and finishes in **four seconds**, having asked the Treasury only for
+the auction query and the current year of each rate feed.
+
+```bash
+python -m recipe.cli build            # incremental
+python -m recipe.cli build --rebuild  # read everything again; what a parser change needs
+```
+
+The two produce identical tables; `tests/test_auctions.py` covers which rows
+are eligible for reuse and why a date-precision row is not.
+
 ## Related
 
 [us-economic-events](https://huggingface.co/datasets/ZipLime/us-economic-events) ·

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manifest.json

@@ -278,7 +278,7 @@
   "event_date": "event_date",
   "event_date_type": "date",
   "frequency_seconds": null,
-  "generated_at": "2026-09-13T06:06:55.316266+00:00",
+  "generated_at": "2026-09-13T06:15:05.109776+00:00",
   "knowledge_date": "knowledge_date",
   "knowledge_date_policy": {
     "auction_results": "the release minute stated in the Treasury's own result artifact, from March 2008; the end of the auction day before that",
@@ -325,6 +325,6 @@
     "build_version": "1.0.0",
     "package_version": "1.0.0",
     "parser_version": "1.0.0",
-    "recipe_hash": "sha256:e0be9809670e9d0159f245929daaff627d3551380944e6b2e46712d813916b16"
+    "recipe_hash": "sha256:77dc42e5e964da9eb90b6b30b8878e20b7155f3caa70ab25c1d39562eb2371b1"
   }
 }

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quality_report.json

@@ -1,6 +1,6 @@
 {
   "ok": true,
-  "checked_at": "2026-09-13T06:06:55.234503+00:00",
+  "checked_at": "2026-09-13T06:15:05.051922+00:00",
   "counts": {
     "auction_calendar": 11114,
     "auction_announcements": 11114,

recipe/pipeline.py

@@ -58,7 +58,7 @@ from .sources.auctions import (
     to_float,
 )
 from .sources.curves import FEEDS, RATES_URL, parse_bill_rates, parse_curve
-from .store import write_table
+from .store import read_table, write_table
 from .timing import (
     CURVE_TIME_BASIS,
     at,
@@ -127,7 +127,15 @@ def share(part: float | None, whole: float | None) -> float | None:
 # Auctions.
 
 
-async def fetch_auctions(fetcher: Fetcher) -> list[Auction]:
+async def fetch_auctions(fetcher: Fetcher) -> tuple[list[Auction], Artifact]:
+    """Every security in the query, and the query document they came from.
+
+    The document is returned with them because the calendar and announcement
+    rows are built from it and nothing else. An earlier version attached the
+    digest of the result artifact to those rows, which is the digest of a
+    different document saying different things.
+    """
+
     artifact = await fetcher.get(SEARCH_URL, max_age_seconds=QUERY_MAX_AGE)
     auctions = parse_auctions(json.loads(artifact.text))
     # The announced feed is the same shape and holds auctions that the search
@@ -140,7 +148,7 @@ async def fetch_auctions(fetcher: Fetcher) -> list[Auction]:
             if auction.auction_id not in held:
                 auctions.append(auction)
         auctions.sort(key=lambda auction: (auction.auction_date, auction.row.get("cusip") or ""))
-    return auctions
+    return auctions, artifact
 
 
 async def result_times(fetcher: Fetcher, auction: Auction) -> tuple[Artifact | None, dict]:
@@ -451,8 +459,38 @@ def curve_features(nominal: pl.DataFrame, real: pl.DataFrame) -> pl.DataFrame:
 # The run.
 
 
+def held_results(data_dir: Path) -> dict[str, dict]:
+    """The result rows a previous run already published, by auction.
+
+    A finished auction's result artifact never changes, so a run that already
+    has the row does not need to ask TreasuryDirect for it again. Without this
+    every scheduled run would refetch six thousand artifacts -- forty minutes
+    of somebody else's bandwidth to rediscover numbers that cannot move.
+
+    Only rows whose instant came from an artifact are reused. A row dated to
+    the end of its day is one whose artifact was never found, and the next run
+    should look again in case the Treasury has since published one.
+    """
+
+    try:
+        rows = read_table(data_dir, "auction_results").collect()
+    except (FileNotFoundError, pl.exceptions.ComputeError):
+        return {}
+    if rows.is_empty():
+        return {}
+    return {
+        row["auction_id"]: row
+        for row in rows.iter_rows(named=True)
+        if row["knowledge_time_precision"] == "minute"
+    }
+
+
 async def build(
-    *, settings: Settings, limit: int | None = None, refresh: bool = False
+    *,
+    settings: Settings,
+    limit: int | None = None,
+    refresh: bool = False,
+    reuse: bool = True,
 ) -> tuple[dict[str, pl.DataFrame], list[Quarantined]]:
     user_agent = validate_user_agent(settings.user_agent)
     quarantined: list[Quarantined] = []
@@ -466,14 +504,34 @@ async def build(
         requests_per_second=settings.requests_per_second,
         force_revalidate=refresh,
     ) as fetcher:
-        auctions = await fetch_auctions(fetcher)
+        auctions, query = await fetch_auctions(fetcher)
         if limit:
             auctions = auctions[-limit:]
-        LOGGER.info("%d auctions in the query", len(auctions))
+        held = held_results(Path(settings.data_dir)) if reuse and not refresh else {}
+        LOGGER.info(
+            "%d auctions in the query, %d results already held", len(auctions), len(held)
+        )
+        reused = 0
         for index, auction in enumerate(auctions, start=1):
+            known = held.get(auction.auction_id)
+            if known is not None:
+                # The artifact was read on an earlier run and cannot have
+                # changed. Its closing times come from the query, which has
+                # them too.
+                times = {
+                    "competitive_close": auction.row.get("closingTimeCompetitive"),
+                    "noncompetitive_close": auction.row.get("closingTimeNoncompetitive"),
+                }
+                calendar.append(calendar_row(auction, artifact=query, times=times))
+                announcement = announcement_row(auction, artifact=query, times=times)
+                if announcement is not None:
+                    announcements.append(announcement)
+                results.append(known)
+                reused += 1
+                continue
             artifact, times = await result_times(fetcher, auction)
-            calendar.append(calendar_row(auction, artifact=artifact, times=times))
-            announcement = announcement_row(auction, artifact=artifact, times=times)
+            calendar.append(calendar_row(auction, artifact=query, times=times))
+            announcement = announcement_row(auction, artifact=query, times=times)
             if announcement is not None:
                 announcements.append(announcement)
             result = result_row(auction, artifact=artifact, times=times)
@@ -485,6 +543,7 @@ async def build(
                 )
             if index % 1000 == 0:
                 LOGGER.info("%d/%d auctions read", index, len(auctions))
+        LOGGER.info("%d results reused, %d read from source", reused, len(results) - reused)
 
         curves = await fetch_curves(fetcher, first_year=settings.first_curve_year)
 
@@ -530,7 +589,9 @@ def run_build(
 ) -> BuildResult:
     import shutil
 
-    frames, quarantined = asyncio.run(build(settings=settings, limit=limit, refresh=rebuild))
+    frames, quarantined = asyncio.run(
+        build(settings=settings, limit=limit, refresh=rebuild, reuse=not rebuild)
+    )
     data_dir = Path(settings.data_dir)
     counts = {name: write_table(data_dir, name, frame) for name, frame in frames.items()}
 
@@ -579,6 +640,7 @@ __all__ = [
     "calendar_row",
     "curve_features",
     "curve_rows",
+    "held_results",
     "result_row",
     "run_build",
     "share",

tests/test_auctions.py

@@ -160,3 +160,33 @@ def test_derived_shares_use_only_numbers_from_the_same_result(auction_rows):
 def test_an_auction_with_no_date_is_not_an_auction():
     assert parse_auctions([{"cusip": "X", "auctionDate": ""}]) == []
     assert isinstance(Auction(auction_id="x", row={}), Auction)
+
+
+def test_only_results_dated_from_an_artifact_are_reused(tmp_path):
+    """A finished auction's artifact cannot change; a missing one might appear.
+
+    Reusing a row that was dated to the end of its day would mean never looking
+    again for an artifact the Treasury had since published.
+    """
+
+    import polars as pl
+
+    from recipe.pipeline import held_results
+    from recipe.schema import RESULT_SCHEMA, align
+    from recipe.store import write_table
+
+    rows = [
+        {"result_id": "A", "auction_id": "UST_2020-01-02_X", "knowledge_time_precision": "minute"},
+        {"result_id": "B", "auction_id": "UST_1998-07-27_Y", "knowledge_time_precision": "date"},
+    ]
+    data_dir = tmp_path / "data"
+    write_table(data_dir, "auction_results",
+                align(pl.DataFrame(rows, infer_schema_length=None), RESULT_SCHEMA))
+    held = held_results(data_dir)
+    assert set(held) == {"UST_2020-01-02_X"}
+
+
+def test_nothing_is_held_when_there_is_no_published_tree(tmp_path):
+    from recipe.pipeline import held_results
+
+    assert held_results(tmp_path / "nothing") == {}