4 Commits

Author SHA1 Message Date
justin d0fada5985 Label image with org.opencontainers.image.source for Gitea repo linking
Gitea attaches a container package to its repo via this OCI label; without it
the pushed image shows up unlinked under the user's packages instead of the
ag-bids-mcp repo's Packages tab.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 15:46:32 -04:00
justin 0c9bc3b328 Add futures_quote tool: CBOT price + change since open + on day
New futures_quote(commodity, delivery?) tool wraps the new /api/data/futures
endpoint: reports latest price, today's session open, prior settle, and both
moves (since open and on the day). With a delivery month it resolves the listed
contract; without it, the continuous nearby. Adds client.futures(), fmt_futures(),
tests, and a CHANGELOG entry.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 15:36:56 -04:00
justin 61c1736539 Add CHANGELOG for upstream tool consumers
Document the new basis_movement/basis_detail tools, the flexible price_history
and latest_prices signatures, and the /api/data/history commodity-optional
change, with example question→call mappings.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 15:26:18 -04:00
justin 3340747600 Add basis_movement/basis_detail tools; make history + latest fully filterable
New MCP tools:
- basis_movement: aggregated basis trend, one headline line per crop. The cheap
  "how is basis moving overall" view; optional commodity/source/delivery/days.
- basis_detail: per-(elevator, crop, delivery) basis first→last drill-down.

Both do the aggregation MCP-side and return compact markdown to keep token
burn low, so a client can call the cheap aggregate first and drill in only when
needed.

Flexibility/parity changes:
- price_history: commodity is now optional (spans all crops); groups by
  (source, commodity, delivery); surfaces basis first→last in the summary and
  adds a futures column to the raw table.
- latest_prices: expose the `kind` filter (grain/fertilizer) that the API and
  client already supported.
- client.history(): commodity optional.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 15:25:39 -04:00
7 changed files with 553 additions and 31 deletions
+106
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@@ -0,0 +1,106 @@
# Changelog
Notes for clients/agents that consume the ag-bids MCP tools and the underlying
`ag-monitor` `/api/data/*` HTTP API. Newest first.
## 2026-05-29 — Futures price + change tool
### New MCP tool
- **`futures_quote(commodity, delivery?)`** — CBOT futures price and change for a
grain. Reports the latest price, today's **session open**, the prior day's
close, and **both** moves: **change since open** and **change on the day**
(vs the previous settle). With `delivery` (e.g. `"Jul 2026"`) it resolves the
listed contract that month prices against (e.g. `ZCN26`); without it, the
continuous nearby.
### API changes (`ag-monitor`)
- **`GET /api/data/futures?commodity=<grain>&delivery=<label?>`** — new endpoint.
Returns `{ commodity, delivery, contract, symbol, quote }` where `quote` is
`{ settle_date, open_cents, last_cents, prev_close_cents,
change_since_open_cents, change_on_day_cents, fetched_at }` (or `null` if no
data yet for that contract). `commodity` must be `corn`/`soy`/`wheat`.
- **`futures_quotes` table** gained an `open_cents` column; the futures scraper
now stores the session **Open** alongside the close. Rows captured before this
change have `open_cents = NULL`, so `change_since_open_cents` is `null` for
those until the next session is scraped.
- Futures now also pull at **:30 during the CBOT day session** (on top of the
hourly :00), so `last` and the changes track the session every ~30 min.
### Example questions → tool calls
| Ask | Call |
|---|---|
| Corn Jul futures and how far it's moved today | `futures_quote(commodity="corn", delivery="Jul 2026")` |
| Soy nearby futures, change on the day | `futures_quote(commodity="soy")` |
## 2026-05-29 — Flexible history + basis movement
### New MCP tools
- **`basis_movement(commodity?, source?, delivery?, days=30)`** — aggregated
basis trend, **one headline line per crop**. Averages every matching
(elevator × delivery) series to `avg basis first → last` over the window and
reports how far it moved. This is the cheap "how is basis moving overall"
view. All filters optional; `commodity` (if given) must be `corn`/`soy`/`wheat`.
- Positive move = **cash strengthened** vs futures (basis up); negative = weaker.
- Aggregation is intentional: divergent elevators can net to "flat". When the
aggregate looks flat or surprising, call `basis_detail` to see per-elevator
splits.
- **`basis_detail(commodity?, source?, delivery?, days=30)`** — the drill-down
for `basis_movement`. **One row per (elevator, crop, delivery)** series with
basis `first → last` and the move. Same optional filters.
Both tools do the aggregation **server-side (in the MCP)** and return compact
markdown — they do not dump every raw sample — to keep token usage low. Pattern:
call `basis_movement` first, then `basis_detail` (optionally filtered) only when
you need the breakdown.
### Changed MCP tools
- **`price_history`** — `commodity` is now **optional** (was required). Omit it
to span every crop. Output now groups by **(elevator, crop, delivery)**,
surfaces **basis first → last** in each series summary, and adds a **Futures**
column to the raw points table. Every filter (`commodity`, `source`,
`delivery`, `days`) is optional and AND'd — pivot per elevator, per crop, per
delivery, or any combination.
- Raw per-row points are still only included when the window has ≤ ~60 samples;
wider queries return the per-series summaries only.
- **`latest_prices`** — added the **`kind`** filter (`grain` | `fertilizer`) for
parity with the API. `commodity`, `source`, `delivery`, `kind` all optional.
### API changes (`ag-monitor`)
- **`GET /api/data/history`** — `commodity` query param is now **optional**.
When omitted, returns history across all crops. `source_id`, `delivery`, and
`days` (1730, default 30) remain optional. Response shape is unchanged:
`{ "commodity": <str|null>, "days": <int>, "rows": [...] }`. Each row carries
`fetched_at, source_id, source_name, commodity, delivery, bid_cents,
basis_cents, futures_cents` so callers can pivot client-side.
- `GET /api/data/latest` already supported optional `commodity`, `source`,
`delivery`, `kind` — unchanged.
### Conventions / gotchas
- All money fields are **integer cents**. `bid_cents`/`futures_cents` render as
`$/bu` (4 dp) for grain and `$/ton` (2 dp) for fertilizer; `basis_cents`
renders as a signed dollar value (2 dp), e.g. `-0.14`.
- Basis is only meaningful for grain — the basis tools skip non-grain rows and
any series with no basis on file.
- `source` filtering is by **exact** elevator display name (e.g.
`"Mercer Landmark — Minster"`). Use `list_sources` to get exact names.
### Example questions → tool calls
| Ask | Call |
|---|---|
| Basis movement overall, last 7 days | `basis_movement(days=7)` |
| Corn basis movement across all elevators | `basis_movement(commodity="corn")` |
| Basis movement at one elevator | `basis_movement(source="Mercer Landmark — Minster")` |
| Per-elevator basis breakdown for corn | `basis_detail(commodity="corn")` |
| Last 7 days of history from elevator X for corn | `price_history(commodity="corn", source="…", days=7)` |
| All-crop price history at one elevator | `price_history(source="…")` |
| Latest grain bids only | `latest_prices(kind="grain")` |
+7
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@@ -1,5 +1,12 @@
FROM python:3.12-slim
# Links this container package to its Gitea repo (Gitea reads
# org.opencontainers.image.source to attach the package to the repo's
# Packages tab). Without it the image shows up unlinked under the user.
LABEL org.opencontainers.image.source="https://git.jpaul.io/justin/ag-bids-mcp" \
org.opencontainers.image.title="ag-bids-mcp" \
org.opencontainers.image.description="MCP server exposing ag-monitor commodity price data"
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1
+5 -1
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@@ -59,7 +59,7 @@ def latest(commodity: str | None = None, source: str | None = None,
commodity=commodity, source=source, delivery=delivery, kind=kind)
def history(commodity: str, source_id: int | None = None,
def history(commodity: str | None = None, source_id: int | None = None,
delivery: str | None = None, days: int = 30) -> dict:
return _get("/api/data/history",
commodity=commodity, source_id=source_id,
@@ -70,6 +70,10 @@ def best(commodity: str) -> dict:
return _get("/api/data/best", commodity=commodity)
def futures(commodity: str, delivery: str | None = None) -> dict:
return _get("/api/data/futures", commodity=commodity, delivery=delivery)
def inputs(product: str | None = None) -> dict:
return _get("/api/data/inputs", product=product)
+170 -15
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@@ -35,6 +35,41 @@ def _delta_arrow(cents: Optional[int]) -> str:
return "" if cents > 0 else ""
GRAIN = ("corn", "soy", "wheat")
def _basis_move(delta_cents: Optional[int]) -> str:
"""Describe a basis change: positive = cash strengthened vs futures."""
if delta_cents is None:
return ""
if delta_cents == 0:
return "→ flat"
arrow = "" if delta_cents > 0 else ""
word = "stronger" if delta_cents > 0 else "weaker"
return f"{arrow} {_basis(delta_cents)} ({word})"
def _build_series(rows: list[dict], default_commodity: Optional[str] = None) -> dict:
"""Group history rows into ordered per-(source, commodity, delivery) lists.
Rows arrive ordered by fetched_at ASC, so each series list stays in time
order. `default_commodity` backfills rows that don't carry their own (older
payload shape / single-commodity queries)."""
series: dict[tuple, list[dict]] = {}
for r in rows:
com = r.get("commodity") or default_commodity or "?"
series.setdefault((r.get("source_name"), com, r.get("delivery")), []).append(r)
return series
def _first_last(points: list[dict], field: str):
"""First and last non-null values of `field` across an ordered point list."""
vals = [p.get(field) for p in points if p.get(field) is not None]
if not vals:
return None, None
return vals[0], vals[-1]
# ---------- best_local_bid ----------
@@ -55,6 +90,41 @@ def fmt_best(commodity: str, payload: dict) -> str:
)
# ---------- futures quote + change ----------
def fmt_futures(payload: dict) -> str:
commodity = payload.get("commodity")
delivery = payload.get("delivery")
contract = payload.get("contract")
q = payload.get("quote")
scope = f"{commodity} {contract}" + (f" ({delivery})" if delivery else " (continuous nearby)")
if not q:
return f"### CBOT futures — {scope}\n\nNo futures quote on file yet for this contract.\n"
last = q.get("last_cents")
open_c = q.get("open_cents")
prev = q.get("prev_close_cents")
d_open = q.get("change_since_open_cents")
d_day = q.get("change_on_day_cents")
lines = [f"### CBOT futures — {scope}", ""]
lines.append(f"- **Last**: {_bu(last)} _(settle/last for {q.get('settle_date') or '?'})_")
if open_c is not None:
lines.append(f"- **Open**: {_bu(open_c)}")
if prev is not None:
lines.append(f"- **Prev close**: {_bu(prev)}")
if d_open is not None:
lines.append(f"- **Change since open**: {_delta_arrow(d_open)} {_basis(d_open)}")
else:
lines.append("- **Change since open**: — (no open captured yet)")
if d_day is not None:
lines.append(f"- **Change on day**: {_delta_arrow(d_day)} {_basis(d_day)}")
else:
lines.append("- **Change on day**: — (no prior settle yet)")
return "\n".join(lines) + "\n"
# ---------- inputs / fertilizer ----------
@@ -108,42 +178,127 @@ def fmt_history(payload: dict, max_rows: int = 60) -> str:
rows = payload.get("rows") or []
commodity = payload.get("commodity")
days = payload.get("days")
scope = commodity or "all crops"
if not rows:
return f"### {commodity} history ({days}d)\n\nNo samples in the window.\n"
return f"### Price history — {scope} ({days}d)\n\nNo samples in the window.\n"
# Per (source, delivery) trend annotation: first vs last sample.
series: dict[tuple, list[dict]] = {}
for r in rows:
series.setdefault((r["source_name"], r["delivery"]), []).append(r)
# Per (source, commodity, delivery) trend annotation: first vs last sample.
series = _build_series(rows, default_commodity=commodity)
lines = [f"### {commodity} price history — last {days} days", ""]
for (src, dlv), pts in sorted(series.items()):
def _com(r: dict) -> str:
return r.get("commodity") or commodity or "?"
lines = [f"### Price history — {scope} — last {days} days", ""]
for (src, com, dlv), pts in sorted(series.items()):
if not pts:
continue
first = pts[0].get("bid_cents")
last = pts[-1].get("bid_cents")
delta = (last - first) if (first is not None and last is not None) else None
b_first, b_last = _first_last(pts, "bid_cents")
delta = (b_last - b_first) if (b_first is not None and b_last is not None) else None
arrow = _delta_arrow(delta)
bz_first, bz_last = _first_last(pts, "basis_cents")
basis_part = ""
if bz_first is not None:
basis_part = (f" · basis {_basis(bz_first)}{_basis(bz_last)} "
f"{_basis_move(bz_last - bz_first)}")
lines.append(
f"- **{src}** / {dlv}: {len(pts)} samples · "
f"{_bu(first)}{_bu(last)} {arrow} {_basis(delta) if delta is not None else ''}".rstrip()
f"- **{src}** / {com} / {dlv}: {len(pts)} samples · "
f"{_bu(b_first)}{_bu(b_last)} {arrow} "
f"{_basis(delta) if delta is not None else ''}{basis_part}".rstrip()
)
# If the history is shallow include the raw rows too (helpful for charts).
if sum(len(p) for p in series.values()) <= max_rows:
lines.extend([
"",
"| Time | Source | Delivery | Bid | Basis |",
"|---|---|---|---:|---:|",
"| Time | Source | Commodity | Delivery | Bid | Basis | Futures |",
"|---|---|---|---|---:|---:|---:|",
])
for r in rows[-max_rows:]:
lines.append(
f"| {r['fetched_at']} | {r['source_name']} | {r['delivery']} | "
f"| {r['fetched_at']} | {r['source_name']} | {_com(r)} | {r['delivery']} | "
f"{_bu(r.get('bid_cents'))} | {_basis(r.get('basis_cents'))} | "
f"{_bu(r.get('futures_cents'))} |"
)
return "\n".join(lines) + "\n"
# ---------- basis movement ----------
def fmt_basis_movement(payload: dict) -> str:
"""Aggregated basis trend per commodity (the cheap, headline view).
Rolls every matching (source, delivery) series up to one line per crop:
average basis first→last across the window and how far it moved. Skips
non-grain rows and series with no basis on file."""
rows = [r for r in (payload.get("rows") or []) if r.get("commodity") in GRAIN]
days = payload.get("days")
if not rows:
return f"### Basis movement — last {days} days\n\nNo grain basis samples in the window.\n"
series = _build_series(rows)
agg: dict[str, dict] = {}
for (src, com, _dlv), pts in series.items():
first, last = _first_last(pts, "basis_cents")
if first is None:
continue
a = agg.setdefault(com, {"firsts": [], "lasts": [], "elevators": set(), "series": 0})
a["firsts"].append(first)
a["lasts"].append(last)
a["elevators"].add(src)
a["series"] += 1
if not agg:
return f"### Basis movement — last {days} days\n\nNo basis data on the matching series.\n"
lines = [f"### Basis movement — last {days} days", ""]
for com in sorted(agg):
a = agg[com]
avg_first = round(sum(a["firsts"]) / len(a["firsts"]))
avg_last = round(sum(a["lasts"]) / len(a["lasts"]))
lines.append(
f"- **{com}**: avg basis {_basis(avg_first)}{_basis(avg_last)} "
f"{_basis_move(avg_last - avg_first)} · "
f"{len(a['elevators'])} elevators, {a['series']} series"
)
return "\n".join(lines) + "\n"
def fmt_basis_detail(payload: dict, max_rows: int = 80) -> str:
"""Per-(elevator, crop, delivery) basis trend — the drill-down view.
One row per series: basis first→last and how far it moved. Done MCP-side so
the caller gets a compact table instead of every raw sample."""
rows = [r for r in (payload.get("rows") or []) if r.get("commodity") in GRAIN]
days = payload.get("days")
if not rows:
return f"### Basis movement by elevator — last {days} days\n\nNo grain basis samples in the window.\n"
series = _build_series(rows)
body: list[str] = []
# Sort by commodity, then elevator, then delivery for stable readable output.
for (src, com, dlv), pts in sorted(series.items(), key=lambda kv: (kv[0][1], kv[0][0], kv[0][2])):
first, last = _first_last(pts, "basis_cents")
if first is None:
continue
body.append(
f"| {com} | {src} | {dlv} | {_basis(first)} | {_basis(last)} | "
f"{_basis_move(last - first)} | {len(pts)} |"
)
if len(body) >= max_rows:
break
if not body:
return f"### Basis movement by elevator — last {days} days\n\nNo basis data on the matching series.\n"
header = [
f"### Basis movement by elevator — last {days} days", "",
"| Commodity | Elevator | Delivery | First | Last | Move | Samples |",
"|---|---|---|---:|---:|---|---:|",
]
return "\n".join(header + body) + "\n"
# ---------- sources / health ----------
+120 -14
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@@ -64,6 +64,31 @@ def best_local_bid(
return fmt.fmt_best(commodity, payload)
@mcp.tool()
def futures_quote(
commodity: Annotated[
str, Field(description="Grain: 'corn', 'soy' (soybeans), or 'wheat'.")
],
delivery: Annotated[
str | None,
Field(description="Delivery month (e.g. 'Jul 2026') to resolve the listed "
"contract. Omit for the continuous nearby."),
] = None,
) -> str:
"""CBOT futures price and change for a commodity (optionally one delivery month).
Reports the latest price, today's session open, the prior day's close, and
both moves: change since the open and change on the day (vs the previous
settle). With `delivery` it resolves the listed contract that month prices
against; without it, the continuous nearby."""
cm = commodity.strip().lower()
with track("futures_quote", commodity=cm, delivery=delivery):
if cm not in VALID_GRAIN:
return f"`commodity` must be one of: {sorted(VALID_GRAIN)}"
payload = client.futures(commodity=cm, delivery=delivery)
return fmt.fmt_futures(payload)
@mcp.tool()
def current_lime_price() -> str:
"""Latest lime prices on file across all sources. Lime is rarely posted on
@@ -103,41 +128,122 @@ def latest_prices(
str | None,
Field(description="Filter to one delivery label (e.g. 'May 2026', 'Oct/Nov 2026')."),
] = None,
kind: Annotated[
str | None,
Field(description="Filter to one commodity kind: 'grain' or 'fertilizer'. Omit for all."),
] = None,
) -> str:
"""Snapshot of the latest scraped bid per (source, commodity, delivery)."""
"""Snapshot of the latest scraped bid per (source, commodity, delivery).
Every filter is optional and AND'd together — pivot by elevator, crop,
delivery, or kind in any combination."""
cm = commodity.strip().lower() if commodity else None
with track("latest_prices", commodity=cm, source=source, delivery=delivery):
payload = client.latest(commodity=cm, source=source, delivery=delivery)
with track("latest_prices", commodity=cm, source=source, delivery=delivery, kind=kind):
payload = client.latest(commodity=cm, source=source, delivery=delivery, kind=kind)
return fmt.fmt_latest(payload)
def _filter_source(payload: dict, source: str | None) -> dict:
"""Narrow a history payload's rows to one source display name, in place."""
if source:
payload["rows"] = [
r for r in payload.get("rows") or [] if r.get("source_name") == source
]
return payload
@mcp.tool()
def price_history(
commodity: Annotated[
str, Field(description="One of corn / soy / wheat / map / potash / lime.")
],
str | None,
Field(description="Filter to one crop (corn / soy / wheat / map / potash / "
"lime). Omit to span every crop."),
] = None,
source: Annotated[
str | None,
Field(description="Optional source display name to narrow the chart."),
Field(description="Filter to one elevator by exact display name. Omit for all."),
] = None,
delivery: Annotated[
str | None,
Field(description="Optional delivery label to narrow the chart."),
Field(description="Filter to one delivery label (e.g. 'Jul 2026'). Omit for all."),
] = None,
days: Annotated[
int, Field(ge=1, le=365, description="Lookback window in days.")
] = 30,
) -> str:
"""Compact price history per (source, delivery) for the chosen commodity.
"""Price history per (elevator, crop, delivery), with every filter optional.
Returns per-series ▲/▼ trend annotations plus the raw points if the
window has fewer than ~60 samples."""
cm = commodity.strip().lower()
Pivot it however you like — one crop at one elevator, every elevator for one
crop, one delivery period across all crops, etc. Each series gets a ▲/▼ bid
trend plus its basis first→last; the raw bid/basis/futures points are
included when the window has fewer than ~60 samples."""
cm = commodity.strip().lower() if commodity else None
with track("price_history", commodity=cm, source=source, delivery=delivery, days=days):
payload = client.history(commodity=cm, delivery=delivery, days=days)
if source:
payload["rows"] = [r for r in payload.get("rows") or [] if r.get("source_name") == source]
return fmt.fmt_history(payload)
return fmt.fmt_history(_filter_source(payload, source))
@mcp.tool()
def basis_movement(
commodity: Annotated[
str | None,
Field(description="Filter to one grain (corn / soy / wheat). Omit to span all grains."),
] = None,
source: Annotated[
str | None,
Field(description="Filter to one elevator by exact display name. Omit for all."),
] = None,
delivery: Annotated[
str | None,
Field(description="Filter to one delivery label (e.g. 'Jul 2026'). Omit for all."),
] = None,
days: Annotated[
int, Field(ge=1, le=365, description="Lookback window in days.")
] = 30,
) -> str:
"""Aggregated basis trend — one headline line per crop (the cheap overview).
Rolls every matching elevator/delivery series up to a single average basis
first→last per crop, with how far it moved (positive = cash strengthened vs
futures). Use this for 'how is basis moving overall', optionally narrowed to
a crop and/or elevator. For the per-elevator breakdown use basis_detail."""
cm = commodity.strip().lower() if commodity else None
with track("basis_movement", commodity=cm, source=source, delivery=delivery, days=days):
if cm is not None and cm not in VALID_GRAIN:
return f"`commodity` must be one of {sorted(VALID_GRAIN)} (or omit for all grains)"
payload = client.history(commodity=cm, delivery=delivery, days=days)
return fmt.fmt_basis_movement(_filter_source(payload, source))
@mcp.tool()
def basis_detail(
commodity: Annotated[
str | None,
Field(description="Filter to one grain (corn / soy / wheat). Omit to span all grains."),
] = None,
source: Annotated[
str | None,
Field(description="Filter to one elevator by exact display name. Omit for all."),
] = None,
delivery: Annotated[
str | None,
Field(description="Filter to one delivery label (e.g. 'Jul 2026'). Omit for all."),
] = None,
days: Annotated[
int, Field(ge=1, le=365, description="Lookback window in days.")
] = 30,
) -> str:
"""Per-(elevator, crop, delivery) basis trend — the drill-down for basis_movement.
One compact row per series: basis first→last over the window and how far it
moved. All filters optional, so you can scope to one crop, one elevator, one
delivery, or any combination."""
cm = commodity.strip().lower() if commodity else None
with track("basis_detail", commodity=cm, source=source, delivery=delivery, days=days):
if cm is not None and cm not in VALID_GRAIN:
return f"`commodity` must be one of {sorted(VALID_GRAIN)} (or omit for all grains)"
payload = client.history(commodity=cm, delivery=delivery, days=days)
return fmt.fmt_basis_detail(_filter_source(payload, source))
@mcp.tool()
+42
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@@ -71,6 +71,48 @@ def test_get_drops_none_params(monkeypatch):
assert captured["params"] == {"commodity": "corn"}
def test_futures_endpoint_params(monkeypatch):
client = _reload_client(monkeypatch)
captured = {}
class FakeResp:
status_code = 200
text = ""
def json(self): return {"quote": None}
def fake_get(url, params=None, timeout=None, headers=None):
captured["url"] = url
captured["params"] = dict(params or {})
return FakeResp()
monkeypatch.setattr(client.httpx, "get", fake_get)
client.futures(commodity="corn", delivery="Jul 2026")
assert captured["url"].endswith("/api/data/futures")
assert captured["params"] == {"commodity": "corn", "delivery": "Jul 2026"}
# delivery omitted → dropped
client.futures(commodity="corn")
assert captured["params"] == {"commodity": "corn"}
def test_history_without_commodity_drops_param(monkeypatch):
client = _reload_client(monkeypatch)
captured = {}
class FakeResp:
status_code = 200
text = ""
def json(self): return {"rows": []}
def fake_get(url, params=None, timeout=None, headers=None):
captured["params"] = dict(params or {})
return FakeResp()
monkeypatch.setattr(client.httpx, "get", fake_get)
client.history(days=14)
# commodity/source_id/delivery all None → only days survives
assert captured["params"] == {"days": 14}
def test_get_raises_on_non_200(monkeypatch):
client = _reload_client(monkeypatch)
+102
View File
@@ -35,6 +35,46 @@ def test_fmt_best_no_winner():
assert "wheat" in out
def test_fmt_futures_with_changes():
payload = {
"commodity": "corn", "delivery": "Jul 2026", "contract": "ZCN26",
"symbol": "ZC",
"quote": {
"settle_date": "2026-05-29", "open_cents": 461, "last_cents": 455,
"prev_close_cents": 460, "change_since_open_cents": -6,
"change_on_day_cents": -5, "fetched_at": "2026-05-29T18:00:00+00:00",
},
}
out = fmt.fmt_futures(payload)
assert "ZCN26" in out and "Jul 2026" in out
assert "$4.5500" in out # last
assert "$4.6100" in out # open
assert "▼ -0.06" in out # change since open
assert "▼ -0.05" in out # change on day
def test_fmt_futures_no_open_yet():
payload = {
"commodity": "soy", "delivery": None, "contract": "continuous",
"symbol": "ZS=F",
"quote": {
"settle_date": "2026-05-29", "open_cents": None, "last_cents": 1180,
"prev_close_cents": 1177, "change_since_open_cents": None,
"change_on_day_cents": 3, "fetched_at": "2026-05-29T18:00:00+00:00",
},
}
out = fmt.fmt_futures(payload)
assert "continuous nearby" in out
assert "no open captured yet" in out
assert "▲ +0.03" in out # change on day still shown
def test_fmt_futures_no_quote():
out = fmt.fmt_futures({"commodity": "wheat", "delivery": None,
"contract": "continuous", "quote": None})
assert "No futures quote on file" in out
def test_fmt_inputs_lime_table():
payload = {
"product": "lime", "count": 2,
@@ -93,6 +133,68 @@ def test_fmt_history_with_trend_arrow():
assert "" in out
assert "$4.8000" in out
assert "$4.9600" in out
# Basis trend is now surfaced in the summary line too.
assert "basis +0.25 → +0.30" in out
def _history_multi():
return {
"commodity": None, "days": 7,
"rows": [
{"source_name": "Minster", "commodity": "corn", "delivery": "Jul 2026",
"bid_cents": 461, "basis_cents": 11, "futures_cents": 450,
"fetched_at": "2026-05-23T15:00:00+00:00"},
{"source_name": "Minster", "commodity": "corn", "delivery": "Jul 2026",
"bid_cents": 464, "basis_cents": 14, "futures_cents": 450,
"fetched_at": "2026-05-29T15:00:00+00:00"},
{"source_name": "Minster", "commodity": "soy", "delivery": "Nov 2026",
"bid_cents": 1145, "basis_cents": -50, "futures_cents": 1195,
"fetched_at": "2026-05-23T15:00:00+00:00"},
{"source_name": "Minster", "commodity": "soy", "delivery": "Nov 2026",
"bid_cents": 1148, "basis_cents": -45, "futures_cents": 1193,
"fetched_at": "2026-05-29T15:00:00+00:00"},
],
}
def test_fmt_history_spans_crops_and_shows_basis_futures():
out = fmt.fmt_history(_history_multi())
# No commodity filter → "all crops" scope, both crops present.
assert "all crops" in out
assert "corn" in out and "soy" in out
# Futures column populated from futures_cents.
assert "$4.5000" in out
# Basis movement annotated per series.
assert "+0.11 → +0.14" in out
assert "-0.50 → -0.45" in out
def test_fmt_basis_movement_aggregates_per_crop():
out = fmt.fmt_basis_movement(_history_multi())
assert "Basis movement" in out
# corn basis 0.11 → 0.14 (stronger), soy -0.50 → -0.45 (stronger)
assert "**corn**" in out and "**soy**" in out
assert "stronger" in out
assert "1 elevators, 1 series" in out
def test_fmt_basis_movement_skips_non_grain_and_nulls():
payload = {"commodity": None, "days": 7, "rows": [
{"source_name": "Coop", "commodity": "lime", "delivery": "spot",
"bid_cents": 42000, "basis_cents": None, "fetched_at": "2026-05-23T15:00:00+00:00"},
]}
out = fmt.fmt_basis_movement(payload)
assert "No grain basis samples" in out
def test_fmt_basis_detail_per_series():
out = fmt.fmt_basis_detail(_history_multi())
assert "Basis movement by elevator" in out
# One row per (crop, elevator, delivery)
assert "| corn | Minster | Jul 2026 |" in out
assert "| soy | Minster | Nov 2026 |" in out
assert "weaker" not in out # both strengthened in this fixture
assert "stronger" in out
def test_fmt_sources_table():