598 lines
22 KiB
Python
598 lines
22 KiB
Python
"""JSON-from-ag-monitor → markdown helpers.
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One function per @mcp.tool. Markdown is what FastMCP tools return; Claude /
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OpenWebUI render it nicely. Cents → dollars formatting is centralized here so
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all tools use the same precision (4 decimals for $/bu, 2 decimals for $/ton).
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"""
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from __future__ import annotations
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from typing import Optional
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def _bu(cents: Optional[int]) -> str:
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if cents is None:
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return "—"
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return f"${cents / 100:.4f}"
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def _ton(cents: Optional[int]) -> str:
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if cents is None:
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return "—"
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return f"${cents / 100:.2f}"
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def _per_lb(cents: Optional[int]) -> str:
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if cents is None:
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return "—"
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return f"${cents / 100:.2f}"
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def _basis(cents: Optional[int]) -> str:
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if cents is None:
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return "—"
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sign = "+" if cents >= 0 else ""
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return f"{sign}{cents / 100:.2f}"
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def _delta_arrow(cents: Optional[int]) -> str:
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if cents is None or cents == 0:
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return "—"
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return "▲" if cents > 0 else "▼"
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GRAIN = ("corn", "soy", "wheat")
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def _basis_move(delta_cents: Optional[int]) -> str:
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"""Describe a basis change: positive = cash strengthened vs futures."""
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if delta_cents is None:
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return "—"
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if delta_cents == 0:
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return "→ flat"
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arrow = "▲" if delta_cents > 0 else "▼"
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word = "stronger" if delta_cents > 0 else "weaker"
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return f"{arrow} {_basis(delta_cents)} ({word})"
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def _build_series(rows: list[dict], default_commodity: Optional[str] = None) -> dict:
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"""Group history rows into ordered per-(source, commodity, delivery) lists.
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Rows arrive ordered by fetched_at ASC, so each series list stays in time
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order. `default_commodity` backfills rows that don't carry their own (older
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payload shape / single-commodity queries)."""
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series: dict[tuple, list[dict]] = {}
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for r in rows:
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com = r.get("commodity") or default_commodity or "?"
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series.setdefault((r.get("source_name"), com, r.get("delivery")), []).append(r)
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return series
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def _first_last(points: list[dict], field: str):
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"""First and last non-null values of `field` across an ordered point list."""
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vals = [p.get(field) for p in points if p.get(field) is not None]
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if not vals:
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return None, None
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return vals[0], vals[-1]
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# ---------- best_local_bid ----------
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def _loc_suffix(d: dict) -> str:
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"""' (City, ST)' when a row/result carries city/state, else ''."""
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city, state = d.get("city"), d.get("state")
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if city and state:
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return f" ({city}, {state})"
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return f" ({state})" if state else ""
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def _mi(d) -> str:
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return "—" if d is None else f"{d:.1f} mi"
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def _where(center: dict) -> str:
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"""Human label for a resolved center point."""
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if center.get("source") == "zip":
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return f"ZIP {center.get('zip')}"
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near = f" (near {center.get('zip')})" if center.get("zip") else ""
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return f"{center['lat']:.4f}, {center['lng']:.4f}{near}"
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def fmt_best(commodity: str, payload: dict) -> str:
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best = payload.get("best")
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today = payload.get("today")
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center = payload.get("center")
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radius = payload.get("radius_miles")
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scope = f" within {radius:.0f} mi of {_where(center)}" if center else ""
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head = f"### Best place to sell {commodity} today ({today})\n\n"
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if not best:
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if center:
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out = head + f"No current-month {commodity} bids{scope}.\n"
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near = payload.get("nearest")
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if near:
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out += (f"\nNearest tracked elevator: **{near['source_name']}**"
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f"{_loc_suffix(near)} — about **{_mi(near.get('distance_miles'))}** "
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f"away, outside the {radius:.0f} mi radius.\n")
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return out
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return head + f"No current-month {commodity} bids posted across the tracked sources.\n"
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dist = best.get("distance_miles")
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dist_txt = f" — **{_mi(dist)}** away" if dist is not None else ""
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out = (
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head
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+ f"**{best['source_name']}**{_loc_suffix(best)}{dist_txt} — delivery "
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f"**{best['delivery']}** — bid **{_bu(best['bid_cents'])}/bu** "
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f"(basis {_basis(best.get('basis_cents'))}, "
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f"futures {best.get('futures_contract') or '—'})\n"
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)
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if center:
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out += f"\n_Searched{scope}._\n"
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out += f"\n_Fetched {best.get('fetched_at') or '?'}_\n"
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return out
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# ---------- reference price trends (USDA NASS / EIA) ----------
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def _unit_money(cents, unit: str) -> str:
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if cents is None:
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return "—"
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dollars = cents / 100
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if unit == "$/gal":
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return f"${dollars:.3f}/gal"
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if unit == "$/bu":
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return f"${dollars:.2f}/bu"
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if unit == "$/ton":
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return f"${dollars:.2f}/ton"
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return f"${dollars:.2f}"
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def _signed(cents) -> str:
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if cents is None:
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return "—"
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return f"{'+' if cents >= 0 else '−'}${abs(cents)/100:.2f}"
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def _pct(p) -> str:
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return "—" if p is None else f"{'+' if p >= 0 else '−'}{abs(p):.1f}%"
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def _ym(period: str) -> str:
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# 2026-04-01 -> "Apr 2026"; weekly date -> as-is
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try:
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y, m, d = period.split("-")
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return f"{_MONTH_NAMES_3[int(m)-1]} {y}" if d == "01" else period
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except Exception:
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return period
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_MONTH_NAMES_3 = ["Jan", "Feb", "Mar", "Apr", "May", "Jun",
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"Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
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def fmt_price_trend(payload: dict, label: str = "price received") -> str:
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name = payload.get("commodity") or payload.get("item")
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geo = payload.get("geo")
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label = payload.get("label") or label
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unit = payload.get("unit") or "$/bu"
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t = payload.get("trend")
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loc = f" — {geo}" if geo else ""
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if not t:
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return f"### {name}{loc} — {label}\n\nNo data on file.\n"
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when = _ym(t["period"])
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lines = [f"### {name}{loc} — {label}, {when}: {_unit_money(t['value_cents'], unit)}", ""]
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arrow = _delta_arrow(t.get("change_cents"))
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lines.append(f"- **Change:** {arrow} {_signed(t.get('change_cents'))} ({_pct(t.get('change_pct'))}) vs prior period")
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if t.get("yoy_cents") is not None:
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lines.append(f"- **Year-over-year:** {_signed(t.get('yoy_change_cents'))} ({_pct(t.get('yoy_pct'))})")
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s = t.get("seasonal")
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if s:
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lines.append(
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f"- **Seasonal:** {s['percentile']}th pct vs last {s['sample_years']} same-months "
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f"(normal {_unit_money(s['normal_cents'], unit)}, range "
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f"{_unit_money(s['min_cents'], unit)}–{_unit_money(s['max_cents'], unit)}) "
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f"· {_pct(s.get('vs_normal_pct'))} vs normal")
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lines.append(f"- **Recent direction:** {_delta_arrow({'up':1,'down':-1,'flat':0}[t['recent_direction']])} {t['recent_direction']}")
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lines.append(f"\n_Source: {payload.get('source') or 'USDA NASS'} · {t['points']} periods on file_")
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return "\n".join(lines) + "\n"
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def fmt_price_series(payload: dict, max_points: int = 60) -> str:
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name = payload.get("commodity") or payload.get("item")
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geo = payload.get("geo")
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unit = payload.get("unit") or "$/bu"
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series = payload.get("series") or []
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loc = f" — {geo}" if geo else ""
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if not series:
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return f"### {name}{loc} series\n\nNo data on file.\n"
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shown = series[-max_points:]
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head = [f"### {name}{loc} — {payload.get('count', len(series))} periods "
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f"(showing last {len(shown)})", "",
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"| Period | Price |", "|---|---:|"]
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body = [f"| {_ym(p['period'])} | {_unit_money(p['value_cents'], unit)} |" for p in shown]
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return "\n".join(head + body) + "\n"
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_NUTRIENT_LABEL = {"n": "Nitrogen (N)", "p2o5": "Phosphate (P₂O₅)", "k2o": "Potash (K₂O)"}
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def fmt_nutrient_cost(payload: dict) -> str:
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"""Cheapest fertilizer per pound of N / P2O5 / K2O for a region."""
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geo = payload.get("geo") or "Cornbelt"
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src = payload.get("source") or "USDA AgTransport"
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products = payload.get("products") or []
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cheapest = payload.get("cheapest") or {}
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if not products:
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return f"### Fertilizer value per nutrient — {geo}\n\nNo data on file.\n"
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by_item = {p["item"]: p for p in products}
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lines = [f"### Fertilizer value per pound of nutrient — {geo}", ""]
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for nut in ("n", "p2o5", "k2o"):
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it = cheapest.get(nut)
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prod = by_item.get(it or "")
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if prod is not None:
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c = (prod.get("cost_per_lb") or {}).get(nut)
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lines.append(
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f"- **Cheapest {_NUTRIENT_LABEL[nut]}:** "
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f"{prod.get('label') or it} at {_per_lb(c)}/lb"
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)
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lines += ["", "| Product | Grade | $/ton | $/lb N | $/lb P₂O₅ | $/lb K₂O |",
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"|---|---|---:|---:|---:|---:|"]
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def _nkey(p: dict):
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v = (p.get("cost_per_lb") or {}).get("n")
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return (v is None, v if v is not None else 0)
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for p in sorted(products, key=_nkey): # cheapest N first, blanks last
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a = p.get("analysis") or {}
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cpl = p.get("cost_per_lb") or {}
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grade = (a.get("grade") or "") + ("*" if a.get("grade_assumed") else "")
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lines.append(
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f"| {p.get('label') or p['item']} | {grade} | {_ton(p.get('price_cents_per_ton'))} | "
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f"{_per_lb(cpl.get('n'))} | {_per_lb(cpl.get('p2o5'))} | {_per_lb(cpl.get('k2o'))} |"
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)
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period = next((p.get("period") for p in products if p.get("period")), None)
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assumed = any((p.get("analysis") or {}).get("grade_assumed") for p in products)
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foot = f"_Source: {src}"
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if period:
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foot += f" · as of {_ym(period)}"
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foot += " · $/lb = $/ton ÷ (analysis% × 2000 lb)"
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if assumed:
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foot += " · *UAN grade assumed 32-0-0"
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lines.append("\n" + foot + "_")
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return "\n".join(lines) + "\n"
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# ---------- futures quote + change ----------
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def fmt_futures(payload: dict) -> str:
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commodity = payload.get("commodity")
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delivery = payload.get("delivery")
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contract = payload.get("contract")
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q = payload.get("quote")
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scope = f"{commodity} {contract}" + (f" ({delivery})" if delivery else " (continuous nearby)")
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if not q:
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return f"### CBOT futures — {scope}\n\nNo futures quote on file yet for this contract.\n"
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last = q.get("last_cents")
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open_c = q.get("open_cents")
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prev = q.get("prev_close_cents")
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d_open = q.get("change_since_open_cents")
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d_day = q.get("change_on_day_cents")
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lines = [f"### CBOT futures — {scope}", ""]
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lines.append(f"- **Last**: {_bu(last)} _(settle/last for {q.get('settle_date') or '?'})_")
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if open_c is not None:
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lines.append(f"- **Open**: {_bu(open_c)}")
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if prev is not None:
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lines.append(f"- **Prev close**: {_bu(prev)}")
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if d_open is not None:
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lines.append(f"- **Change since open**: {_delta_arrow(d_open)} {_basis(d_open)}")
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else:
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lines.append("- **Change since open**: — (no open captured yet)")
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if d_day is not None:
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lines.append(f"- **Change on day**: {_delta_arrow(d_day)} {_basis(d_day)}")
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else:
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lines.append("- **Change on day**: — (no prior settle yet)")
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return "\n".join(lines) + "\n"
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# ---------- inputs / fertilizer ----------
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def fmt_inputs(payload: dict) -> str:
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rows = payload.get("rows") or []
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product = payload.get("product")
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title = f"### {product.upper()} prices" if product else "### Fertilizer + lime prices"
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if not rows:
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scope = product or "any tracked input"
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return f"{title}\n\nNo {scope} prices on file.\n"
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lines = [
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title, "",
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"| Source | Product | Delivery | Price ($/ton) | Fetched |",
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"|---|---|---|---:|---|",
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]
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for r in rows:
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lines.append(
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f"| {r['source_name']} | {r.get('display_name') or r['commodity']} | "
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f"{r['delivery']} | {_ton(r.get('bid_cents'))} | {r.get('fetched_at') or '?'} |"
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)
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return "\n".join(lines) + "\n"
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# ---------- latest snapshot ----------
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def fmt_latest(payload: dict) -> str:
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rows = payload.get("rows") or []
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center = payload.get("center")
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radius = payload.get("radius_miles")
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if not rows:
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head = "### Latest prices\n\n"
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if center:
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return head + f"No sources within {radius:.0f} mi of {_where(center)}.\n"
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return head + "No rows match those filters.\n"
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title = "### Latest prices"
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if center:
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title += f" — within {radius:.0f} mi of {_where(center)}"
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dist_col = " Distance |" if center else ""
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dist_sep = " ---: |" if center else ""
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lines = [
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title, "",
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f"| Source | Commodity | Delivery | Bid | Basis | Futures |{dist_col} Fetched |",
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f"|---|---|---|---:|---:|---|{dist_sep}---|",
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]
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for r in rows:
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unit_fmt = _ton if r.get("commodity_kind") == "fertilizer" else _bu
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dist_cell = f" {_mi(r.get('distance_miles'))} |" if center else ""
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lines.append(
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f"| {r['source_name']} | {r.get('display_name') or r['commodity']} | "
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f"{r['delivery']} | {unit_fmt(r.get('bid_cents'))} | "
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f"{_basis(r.get('basis_cents'))} | {r.get('futures_contract') or '—'} |"
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f"{dist_cell} {r.get('fetched_at') or '?'} |"
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)
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return "\n".join(lines) + "\n"
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# ---------- price history ----------
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def fmt_history(payload: dict, max_rows: int = 60) -> str:
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rows = payload.get("rows") or []
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commodity = payload.get("commodity")
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days = payload.get("days")
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scope = commodity or "all crops"
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if not rows:
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return f"### Price history — {scope} ({days}d)\n\nNo samples in the window.\n"
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# Per (source, commodity, delivery) trend annotation: first vs last sample.
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series = _build_series(rows, default_commodity=commodity)
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def _com(r: dict) -> str:
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return r.get("commodity") or commodity or "?"
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lines = [f"### Price history — {scope} — last {days} days", ""]
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for (src, com, dlv), pts in sorted(series.items()):
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if not pts:
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continue
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b_first, b_last = _first_last(pts, "bid_cents")
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delta = (b_last - b_first) if (b_first is not None and b_last is not None) else None
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arrow = _delta_arrow(delta)
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bz_first, bz_last = _first_last(pts, "basis_cents")
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basis_part = ""
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if bz_first is not None:
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basis_part = (f" · basis {_basis(bz_first)} → {_basis(bz_last)} "
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f"{_basis_move(bz_last - bz_first)}")
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lines.append(
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f"- **{src}** / {com} / {dlv}: {len(pts)} samples · "
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f"{_bu(b_first)} → {_bu(b_last)} {arrow} "
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f"{_basis(delta) if delta is not None else ''}{basis_part}".rstrip()
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)
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# If the history is shallow include the raw rows too (helpful for charts).
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if sum(len(p) for p in series.values()) <= max_rows:
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lines.extend([
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"",
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"| Time | Source | Commodity | Delivery | Bid | Basis | Futures |",
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"|---|---|---|---|---:|---:|---:|",
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])
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for r in rows[-max_rows:]:
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lines.append(
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f"| {r['fetched_at']} | {r['source_name']} | {_com(r)} | {r['delivery']} | "
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f"{_bu(r.get('bid_cents'))} | {_basis(r.get('basis_cents'))} | "
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f"{_bu(r.get('futures_cents'))} |"
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)
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return "\n".join(lines) + "\n"
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# ---------- basis movement ----------
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def fmt_basis_movement(payload: dict) -> str:
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"""Aggregated basis trend per commodity (the cheap, headline view).
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Rolls every matching (source, delivery) series up to one line per crop:
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average basis first→last across the window and how far it moved. Skips
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non-grain rows and series with no basis on file."""
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rows = [r for r in (payload.get("rows") or []) if r.get("commodity") in GRAIN]
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days = payload.get("days")
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if not rows:
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return f"### Basis movement — last {days} days\n\nNo grain basis samples in the window.\n"
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series = _build_series(rows)
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agg: dict[str, dict] = {}
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for (src, com, _dlv), pts in series.items():
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first, last = _first_last(pts, "basis_cents")
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if first is None:
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continue
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a = agg.setdefault(com, {"firsts": [], "lasts": [], "elevators": set(), "series": 0})
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a["firsts"].append(first)
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a["lasts"].append(last)
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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 ----------
|
||
|
||
|
||
def _location(s: dict) -> str:
|
||
city, state = s.get("city"), s.get("state")
|
||
loc = ", ".join(p for p in (city, state) if p)
|
||
if s.get("zip"):
|
||
loc = f"{loc} {s['zip']}".strip()
|
||
return loc or "—"
|
||
|
||
|
||
def fmt_sources(payload: dict) -> str:
|
||
src = payload.get("sources") or []
|
||
if not src:
|
||
return "### Sources\n\nNo active sources.\n"
|
||
lines = [
|
||
"### Tracked sources", "",
|
||
"| Source | Kind | Location | Last success | Consecutive failures | Last error |",
|
||
"|---|---|---|---|---:|---|",
|
||
]
|
||
for s in src:
|
||
lines.append(
|
||
f"| {s['name']} | {s['kind']} | {_location(s)} | {s.get('last_success_at') or '—'} | "
|
||
f"{s.get('consecutive_failures') or 0} | {s.get('last_error') or ''} |"
|
||
)
|
||
return "\n".join(lines) + "\n"
|
||
|
||
|
||
def fmt_health(payload: dict) -> str:
|
||
src = payload.get("sources") or []
|
||
healthy, stale, down = [], [], []
|
||
for s in src:
|
||
n = s.get("consecutive_failures") or 0
|
||
if n >= 3:
|
||
down.append(s)
|
||
elif not s.get("last_success_at"):
|
||
stale.append(s)
|
||
else:
|
||
healthy.append(s)
|
||
lines = ["### Source health", ""]
|
||
lines.append(f"- ✅ Healthy: **{len(healthy)}**")
|
||
lines.append(f"- ⚠ Stale (never succeeded): **{len(stale)}**")
|
||
lines.append(f"- ❌ Down (3+ consecutive failures): **{len(down)}**")
|
||
if stale or down:
|
||
lines.append("")
|
||
lines.append("| Source | State | Last success | Failures | Error |")
|
||
lines.append("|---|---|---|---:|---|")
|
||
for s in stale + down:
|
||
state = "stale" if s in stale else "down"
|
||
lines.append(
|
||
f"| {s['name']} | {state} | {s.get('last_success_at') or '—'} | "
|
||
f"{s.get('consecutive_failures') or 0} | "
|
||
f"{(s.get('last_error') or '')[:80]} |"
|
||
)
|
||
return "\n".join(lines) + "\n"
|
||
|
||
|
||
# ---------- list helpers ----------
|
||
|
||
|
||
def fmt_deliveries(payload: dict) -> str:
|
||
commodity = payload.get("commodity")
|
||
labels = payload.get("deliveries") or []
|
||
if not labels:
|
||
return f"### {commodity} deliveries\n\nNo posted deliveries.\n"
|
||
return (
|
||
f"### Posted delivery labels for {commodity}\n\n"
|
||
+ "\n".join(f"- {x}" for x in labels)
|
||
+ "\n"
|
||
)
|
||
|
||
|
||
def fmt_commodities() -> str:
|
||
return (
|
||
"### Tracked commodities\n\n"
|
||
"- **corn** ($/bu)\n"
|
||
"- **soy** — soybeans ($/bu)\n"
|
||
"- **wheat** ($/bu) — tracked but excluded from daily brief emails\n"
|
||
"- **map** — MAP 11-52-0 ($/ton)\n"
|
||
"- **potash** — Potash 0-0-60 ($/ton)\n"
|
||
"- **lime** ($/ton)\n"
|
||
)
|
||
|
||
|
||
# ---------- today's summary ----------
|
||
|
||
|
||
def fmt_summary(payload: dict) -> str:
|
||
today = payload.get("today")
|
||
prev = payload.get("prev_trading_day")
|
||
lines = [f"### Market summary — today {today} vs prev trading day {prev}", ""]
|
||
for c in payload.get("commodities", []):
|
||
f = c.get("futures") or {}
|
||
chg = f.get("change_cents")
|
||
arrow = _delta_arrow(chg)
|
||
lines.append(
|
||
f"**{c['display_name']}** — CBOT {f.get('contract','?')} "
|
||
f"last {_bu(f.get('today_last_cents'))}, prev close "
|
||
f"{_bu(f.get('prev_close_cents'))} {arrow} {_basis(chg) if chg is not None else ''}"
|
||
)
|
||
bft = c.get("best_for_today")
|
||
if bft:
|
||
lines.append(
|
||
f" · Best for today's delivery ({bft['delivery']}): "
|
||
f"**{bft['source_name']}** @ {_bu(bft['bid_cents'])} "
|
||
f"(basis {_basis(bft.get('basis_cents'))})"
|
||
)
|
||
else:
|
||
lines.append(" · No current-month local bid posted.")
|
||
lines.append("")
|
||
return "\n".join(lines).rstrip() + "\n"
|