Function buildLocalCropPlan

src/components/CropPlanningSection.tsx:1362–1450

({ field, ndviData, soilData, weatherData, suitabilityData }: Omit<CropPlanningSectionProps, "mapToken">)

      typeof data.summary === "string",
  );
}

function buildLocalCropPlan({ field, ndviData, soilData, weatherData, suitabilityData }: Omit<CropPlanningSectionProps, "mapToken">): CropPlan {
  const signals = buildPlanningSignals({ field, ndviData, soilData, weatherData, suitabilityData });
  const detectedRegions = detectRegion(signals.locationText);

  // Pre-filter profiles: only keep crops that share at least one region tag with the location
  const regionFiltered = CROP_PROFILES.filter(profile => {
    const profileRegionTags = profile.tags.filter(t =>
      ["tropical", "subtropical", "mediterranean", "temperate", "continental", "arid", "highland"].includes(t)
    );
    // If profile has no region tags, allow it (generic crop)
    if (profileRegionTags.length === 0) return true;
    return profileRegionTags.some(tag => detectedRegions.includes(tag as RegionTag));
  });

  const scoredProfiles = regionFiltered.map((profile) => ({
    profile,
    score: scoreCropProfile(profile, signals, field.crop),
  })).sort((left, right) => right.score - left.score);

  const zoneCount = clamp(field.area > 5 ? 4 : 3, 3, 4);
  let chosen = scoredProfiles.slice(0, zoneCount);

  // Ensure current crop is in the plan (if it's region-appropriate)
  const currentCropInPlan = chosen.some(c => c.profile.name.toLowerCase() === field.crop.toLowerCase());
  if (!currentCropInPlan) {
    const currentProfile = scoredProfiles.find(c => c.profile.name.toLowerCase() === field.crop.toLowerCase());
    if (currentProfile) {
      chosen[chosen.length - 1] = currentProfile;
    }
  }

  // Ensure at least one tree-type crop from the region-filtered list
  const hasTree = chosen.some(c => c.profile.tags.includes("tree"));
  if (!hasTree) {
    const bestTree = scoredProfiles.find(c => c.profile.tags.includes("tree") && !chosen.includes(c));
    if (bestTree) {
      const replaceIdx = chosen.length - 1;
      chosen[replaceIdx] = bestTree;
    }
  }

  const weights = normalizeAreaPercents(chosen.map((item) => item.score));
  const positions = ZONE_POSITION_PRESETS[chosen.length] || ZONE_POSITION_PRESETS[4] || ZONE_POSITION_PRESETS[3];

  const zones: CropZone[] = chosen.map(({ profile, score }, index) => ({
    id: `zone-${index + 1}`,
    name: `${String.fromCharCode(65 + index)} Zone`,
    crop: profile.name,
    color: profile.color,
    area_pct: weights[index],
    reason: getZoneReason(profile, signals, index),
    spacing_m: profile.spacing_m,
    water_needs: profile.waterNeeds,
    season: profile.season,
    yield_estimate: formatYield(profile, clamp(score, 0.45, 1.25), signals.healthScore),
    position: positions[index] || { x: 0.5, y: 0.5 },