# JAIM — Vrikshayurveda Rules Update
# Grounded in actual Surapala text (all 9 disorder entries)

> **How to use this file:**
> This file REPLACES the previous hardcoded rule base with rules derived
> directly from the Vrikshayurveda disorder table (Surapala, translated by
> Sadhale 1996, as cited in the IEEE paper in the project database).
> Follow each phase in order. Do not skip phases.
> The YAML and JS must stay in sync — the YAML is always the source of truth.

---

## What changed and why

The previous 20 rules were illustrative seed rules. This update replaces them
with rules extracted directly from the 9 Vrikshayurveda disorder entries:

1. Internal Vata disorder
2. Internal Kapha disorder
3. Internal Pitta disorder
4. External — Scorching heat / Frost (insect-root damage)
5. External — Excessive stormy winds
6. External — Fire / Lightning / Soil aridity / Water stress
7. External — Struck by axe or mechanical wound
8. Faulty seed disorder
9. Ants / insects infestation
10. Excessive watering disorder

The symptom keywords, fact vocabulary, rule conditions, conclusions, and
treatment recommendations are all derived from the actual text — not invented.

---

## Phase 1 — Replace vrikshayurveda_rules.yaml

**File:** `vrikshayurveda_rules.yaml`
**Action:** Delete the entire file and replace with the content below.

```yaml
rules:

  # ── INTERNAL VATA DISORDER ──────────────────────────────────────────────

  - id: R001
    name: "Trunk bent + knots → internal Vata disorder"
    source: vrikshayurveda
    priority: 10
    conditions: [trunk_bent, knots_on_trunk]
    conclusions: [internal_vata_disorder]
    dosha: vata
    explanation: >
      Bent trunk with knots are primary Vata symptoms — disturbed Vata
      governs movement and structural integrity in Vrikshayurveda.

  - id: R002
    name: "Yellowing + fruit loss → internal Vata disorder"
    source: vrikshayurveda
    priority: 10
    conditions: [general_yellowing, flower_fruit_loss]
    conclusions: [internal_vata_disorder]
    dosha: vata
    explanation: >
      General yellowing of leaves and fruits combined with flower and
      fruit loss indicates internal Vata imbalance from arid soil conditions.

  - id: R003
    name: "Hard fruits + slow defoliation → internal Vata disorder"
    source: vrikshayurveda
    priority: 9
    conditions: [hard_fruits, slow_defoliation]
    conclusions: [internal_vata_disorder]
    dosha: vata
    explanation: >
      Hard less-juicy fruits and slow defoliation are Vata symptoms
      caused by root-infecting fungi, nematodes, or saline soils.

  - id: R004
    name: "Internal Vata → arid soil cause"
    source: vrikshayurveda
    priority: 8
    conditions: [internal_vata_disorder]
    conclusions: [arid_soil_cause]
    dosha: vata
    explanation: >
      Vrikshayurveda identifies arid land as the primary cause of
      internal Vata — roots stressed by dry or saline soil.

  - id: R005
    name: "Internal Vata → recommend panchmula decoction"
    source: vrikshayurveda
    priority: 7
    conditions: [internal_vata_disorder]
    conclusions: [recommend_panchmula_decoction]
    dosha: none
    explanation: >
      Panchmula (five-root preparation) decoction is the classical
      Vrikshayurveda treatment for internal Vata disorder.

  - id: R006
    name: "Internal Vata → recommend fermented fat decoction"
    source: vrikshayurveda
    priority: 7
    conditions: [internal_vata_disorder]
    conclusions: [recommend_fermented_fat_decoction]
    dosha: none
    explanation: >
      Fermented mixture of hog fat, porpoise oil, ghee, hemp, horsehair,
      and cow horn boiled to decoction is the primary Vata treatment.

  # ── INTERNAL KAPHA DISORDER ─────────────────────────────────────────────

  - id: R007
    name: "Delayed fruiting + bland overripe fruits → internal Kapha disorder"
    source: vrikshayurveda
    priority: 10
    conditions: [delayed_fruiting, bland_overripe_fruits]
    conclusions: [internal_kapha_disorder]
    dosha: kapha
    explanation: >
      Delayed bearing with bland overripe fruits signals Kapha excess —
      associated with fungal gummosis, rot, or excessive watering.

  - id: R008
    name: "Oozing without injury → internal Kapha disorder"
    source: vrikshayurveda
    priority: 9
    conditions: [oozing_without_injury]
    conclusions: [internal_kapha_disorder]
    dosha: kapha
    explanation: >
      Spontaneous oozing from bark without physical damage is a
      hallmark Kapha symptom indicating gummosis or internal rot.

  - id: R009
    name: "Internal Kapha + winter/spring → fungal root rot cause"
    source: vrikshayurveda
    priority: 10
    conditions: [internal_kapha_disorder, winter_spring_season]
    conclusions: [fungal_rot_cause, excessive_moisture_cause]
    dosha: kapha
    explanation: >
      Kapha disorders appearing in winter and spring are caused by
      fungal gummosis, nutrient deficiency, or excessive watering.

  - id: R010
    name: "Internal Kapha → recommend white mustard paste"
    source: vrikshayurveda
    priority: 7
    conditions: [internal_kapha_disorder]
    conclusions: [recommend_white_mustard_paste_roots]
    dosha: none
    explanation: >
      White mustard paste applied at the roots is the primary
      Vrikshayurveda treatment for Kapha disorder.

  - id: R011
    name: "Internal Kapha → recommend sesame ash water + soil replacement"
    source: vrikshayurveda
    priority: 7
    conditions: [internal_kapha_disorder]
    conclusions: [recommend_sesame_ash_water, recommend_fresh_dry_soil]
    dosha: none
    explanation: >
      Watering with sesame-and-ash mixture followed by replacing root
      soil with fresh dry earth removes Kapha excess and excess moisture.

  # ── INTERNAL PITTA DISORDER ─────────────────────────────────────────────

  - id: R012
    name: "Early leaf withering → internal Pitta disorder"
    source: vrikshayurveda
    priority: 10
    conditions: [early_leaf_withering]
    conclusions: [internal_pitta_disorder]
    dosha: pitta
    explanation: >
      Early withering of leaves before season indicates excess Pitta heat
      — caused by viral disease, salinity in irrigation water, or blight.

  - id: R013
    name: "Early fruit/flower decay → internal Pitta disorder"
    source: vrikshayurveda
    priority: 10
    conditions: [early_fruit_flower_decay]
    conclusions: [internal_pitta_disorder]
    dosha: pitta
    explanation: >
      Premature decay of fruits or flowers is a Pitta symptom occurring
      at end of summer, linked to blossom blight and fungal infection.

  - id: R014
    name: "Internal Pitta + end of summer → heat-fungal cause"
    source: vrikshayurveda
    priority: 10
    conditions: [internal_pitta_disorder, end_of_summer]
    conclusions: [heat_fungal_cause, salinity_cause]
    dosha: pitta
    explanation: >
      Pitta disorders at end of summer are caused by viral disease,
      salinity in irrigation water, and susceptibility to fungal blight.

  - id: R015
    name: "Internal Pitta → recommend triphala ghee honey decoction"
    source: vrikshayurveda
    priority: 7
    conditions: [internal_pitta_disorder]
    conclusions: [recommend_triphala_ghee_honey]
    dosha: none
    explanation: >
      Watering with triphala, ghee, and honey decoction is the primary
      Vrikshayurveda treatment for Pitta disorder.

  - id: R016
    name: "Internal Pitta → recommend milk honey yastamdhu madhuka"
    source: vrikshayurveda
    priority: 7
    conditions: [internal_pitta_disorder]
    conclusions: [recommend_milk_honey_yastamdhu_madhuka]
    dosha: none
    explanation: >
      Watering with decoction of milk, honey, yastamdhu, and madhuka
      is the secondary Vrikshayurveda cooling treatment for Pitta.

  # ── EXTERNAL: SCORCHING HEAT / FROST / INSECT ROOT DAMAGE ───────────────

  - id: R017
    name: "Yellowing + Vata-like symptoms → heat or frost external cause"
    source: vrikshayurveda
    priority: 9
    conditions: [general_yellowing, vata_like_symptoms]
    conclusions: [external_heat_frost_disorder]
    dosha: none
    explanation: >
      Leaf yellowing with Vata-like symptoms but no internal Vata cause
      indicates external scorching heat, frost, or insect root damage.

  - id: R018
    name: "External heat/frost → roots eaten by insects cause"
    source: vrikshayurveda
    priority: 8
    conditions: [external_heat_frost_disorder]
    conclusions: [insect_root_damage_cause, water_stress_cause]
    dosha: none
    explanation: >
      External heat or frost disorders are caused by water stress
      predisposing trees to attack by pathogens and root-eating insects.

  - id: R019
    name: "External heat/frost → recommend cold water treatment 7 days"
    source: vrikshayurveda
    priority: 7
    conditions: [external_heat_frost_disorder]
    conclusions: [recommend_cold_water_7days]
    dosha: none
    explanation: >
      Insects can be removed by cold water treatment for seven days —
      the primary Vrikshayurveda remedy for external heat/frost disorder.

  - id: R020
    name: "External heat/frost → recommend white mustard vasa kusta paste"
    source: vrikshayurveda
    priority: 7
    conditions: [external_heat_frost_disorder]
    conclusions: [recommend_white_mustard_vasa_kusta_paste]
    dosha: none
    explanation: >
      Rubbing roots with white mustard, vasa, kusta, and ativisa paste
      is the second treatment for insect-induced root damage.

  - id: R021
    name: "Insect root damage → recommend milk kunapa cow dung paste"
    source: vrikshayurveda
    priority: 6
    conditions: [insect_root_damage_cause]
    conclusions: [recommend_milk_kunapa_cowdung_paste]
    dosha: none
    explanation: >
      Paste of milk, kunapa water, and cow dung with water applied to
      wounds heals insect-damaged root tissue.

  # ── EXTERNAL: EXCESSIVE STORMY WINDS ────────────────────────────────────

  - id: R022
    name: "Uprooting + branch breaking → stormy wind disorder"
    source: vrikshayurveda
    priority: 10
    conditions: [tree_uprooting, branch_breaking]
    conclusions: [stormy_wind_disorder]
    dosha: none
    explanation: >
      Uprooting and branch breaking are the defining symptoms of
      excessive stormy wind — mechanical damage, not biological.

  - id: R023
    name: "Tree twisting → stormy wind disorder"
    source: vrikshayurveda
    priority: 9
    conditions: [tree_twisting]
    conclusions: [stormy_wind_disorder]
    dosha: none
    explanation: >
      Tree twisting is a stormy wind symptom indicating mechanical
      structural damage to the trunk.

  - id: R024
    name: "Stormy wind disorder → recommend Plaksa Udumbara ghee paste"
    source: vrikshayurveda
    priority: 7
    conditions: [stormy_wind_disorder]
    conclusions: [recommend_plaksa_udumbara_ghee_paste]
    dosha: none
    explanation: >
      Mixture of Plaksa bark, Udumbara, ghee, honey, wine, and milk
      applied to damaged areas is the Vrikshayurveda wind-damage remedy.

  # ── EXTERNAL: FIRE / LIGHTNING / WATER STRESS ───────────────────────────

  - id: R025
    name: "Drying of tree + Vata-like symptoms → fire/lightning/drought"
    source: vrikshayurveda
    priority: 9
    conditions: [tree_drying, vata_like_symptoms]
    conclusions: [fire_lightning_drought_disorder]
    dosha: none
    explanation: >
      Drying with Vata-like symptoms indicates fire, lightning strike,
      soil aridity, or severe water stress as external cause.

  - id: R026
    name: "Fire/lightning → recommend remove burned branches + milk water"
    source: vrikshayurveda
    priority: 7
    conditions: [fire_lightning_drought_disorder]
    conclusions: [recommend_remove_burned_branches, recommend_milk_water_moisten]
    dosha: none
    explanation: >
      Burned branches must be removed and cuts moistened with milk and
      water before smoking with crab shells.

  - id: R027
    name: "Fire/lightning → recommend lotus mud + kunapa water"
    source: vrikshayurveda
    priority: 7
    conditions: [fire_lightning_drought_disorder]
    conclusions: [recommend_lotus_mud_kunapa]
    dosha: none
    explanation: >
      Entire tree covered in lotus mud then watered with kunapa mixture
      is the Vrikshayurveda treatment for severely burned trees.

  - id: R028
    name: "Lightning strike specifically → recommend vidari arsenic sesame"
    source: vrikshayurveda
    priority: 8
    conditions: [fire_lightning_drought_disorder, lightning_strike]
    conclusions: [recommend_vidari_arsenic_sesame_milk]
    dosha: none
    explanation: >
      Trees struck by lightning need anointing with vidari, sugar, red
      arsenic, and sesame then sprinkled with milk and water.

  # ── EXTERNAL: MECHANICAL WOUND (AXE ETC.) ───────────────────────────────

  - id: R029
    name: "Tree wounds + drying up → mechanical wound disorder"
    source: vrikshayurveda
    priority: 9
    conditions: [tree_wounds, tree_drying]
    conclusions: [mechanical_wound_disorder]
    dosha: none
    explanation: >
      Wounds from axe or other implements causing drying are classified
      as mechanical wound disorder in Vrikshayurveda.

  - id: R030
    name: "Mechanical wound → recommend Nyagrodha Udumbara cow dung paste"
    source: vrikshayurveda
    priority: 7
    conditions: [mechanical_wound_disorder]
    conclusions: [recommend_nyagrodha_udumbara_cowdung_paste]
    dosha: none
    explanation: >
      Paste of Nyagrodha bark, Udumbara, cow dung, honey, and ghee
      applied to wounds is the Vrikshayurveda mechanical wound remedy.

  # ── FAULTY SEED DISORDER ─────────────────────────────────────────────────

  - id: R031
    name: "Unproductive tree → faulty seed disorder"
    source: vrikshayurveda
    priority: 9
    conditions: [tree_unproductive]
    conclusions: [faulty_seed_disorder]
    dosha: none
    explanation: >
      Trees that fail to bear fruit or produce are classified as faulty
      seed disorder — caused by untreated or pathogen-infected seeds.

  - id: R032
    name: "Faulty seed → seed pathogen or insect cause"
    source: vrikshayurveda
    priority: 8
    conditions: [faulty_seed_disorder]
    conclusions: [seed_pathogen_cause]
    dosha: none
    explanation: >
      Unproductive trees trace back to seeds infected with pathogens
      or damaged by insects at the seed stage.

  - id: R033
    name: "Faulty seed → recommend milk mustard ash seed treatment"
    source: vrikshayurveda
    priority: 7
    conditions: [faulty_seed_disorder]
    conclusions: [recommend_milk_mustard_ash_seed_treatment]
    dosha: none
    explanation: >
      Seeds should be treated with milk, mustard, ash of sesame and
      brhati, rubbed with cow dung, honey, and vidanga.

  # ── ANTS / INSECT INFESTATION ────────────────────────────────────────────

  - id: R034
    name: "Foul smell + fragrance loss → insect infestation"
    source: vrikshayurveda
    priority: 10
    conditions: [foul_smell, fragrance_loss]
    conclusions: [insect_infestation_disorder]
    dosha: none
    explanation: >
      Foul smell replacing original fragrance is the primary indicator
      of ant or insect infestation in Vrikshayurveda.

  - id: R035
    name: "Reduced leaf size + stunted seedlings → insect infestation"
    source: vrikshayurveda
    priority: 9
    conditions: [reduced_leaf_size, stunted_seedlings]
    conclusions: [insect_infestation_disorder]
    dosha: none
    explanation: >
      Reduction in leaf size and stunted seedling growth indicates
      insect (ant/caterpillar) activity damaging the root system.

  - id: R036
    name: "Insect infestation → recommend vidanga smoke fumigation"
    source: vrikshayurveda
    priority: 7
    conditions: [insect_infestation_disorder]
    conclusions: [recommend_vidanga_smoke_fumigation]
    dosha: none
    explanation: >
      Smoking with white mustard, ramatha, vidanga, vaca, usana mixed
      with beef and pigeon flesh removes caterpillars and insects.

  - id: R037
    name: "Insect infestation → recommend vidanga ghee ointment + soft water"
    source: vrikshayurveda
    priority: 7
    conditions: [insect_infestation_disorder]
    conclusions: [recommend_vidanga_ghee_ointment, recommend_soft_water_7days]
    dosha: none
    explanation: >
      Anointing with vidanga mixed with ghee and watering for seven
      days with soft water is the second insect treatment.

  # ── EXCESSIVE WATERING DISORDER ─────────────────────────────────────────

  - id: R038
    name: "Tree indigestion + destruction → excessive watering disorder"
    source: vrikshayurveda
    priority: 9
    conditions: [tree_indigestion, tree_destruction]
    conclusions: [excessive_watering_disorder]
    dosha: kapha
    explanation: >
      Trees suffering indigestion and destruction from water excess are
      classified as excessive watering disorder — a Kapha-adjacent cause.

  - id: R039
    name: "Excessive watering → recommend honey vidanga root application"
    source: vrikshayurveda
    priority: 7
    conditions: [excessive_watering_disorder]
    conclusions: [recommend_honey_vidanga_roots]
    dosha: none
    explanation: >
      Honey and vidanga applied to every root of tender plants after
      uprooting and scratching with nails is the watering excess remedy.

  # ── CROSS-DISORDER CHAINS ────────────────────────────────────────────────

  - id: R040
    name: "Excessive moisture + Kapha → excessive watering overlap"
    source: derived
    priority: 8
    conditions: [excessive_moisture_cause, internal_kapha_disorder]
    conclusions: [excessive_watering_disorder]
    dosha: kapha
    explanation: >
      When Kapha disorder is accompanied by excessive moisture cause,
      the tree is likely suffering from both Kapha imbalance and
      overwatering simultaneously.

  - id: R041
    name: "Arid soil + water stress → fire/drought overlap"
    source: derived
    priority: 7
    conditions: [arid_soil_cause, water_stress_cause]
    conclusions: [fire_lightning_drought_disorder]
    dosha: none
    explanation: >
      Arid soil cause combined with water stress can produce symptoms
      indistinguishable from fire or drought damage.

  - id: R042
    name: "Vata-like symptoms + insect root damage → external heat/frost"
    source: derived
    priority: 8
    conditions: [vata_like_symptoms, insect_root_damage_cause]
    conclusions: [external_heat_frost_disorder]
    dosha: none
    explanation: >
      Vata-like symptoms caused by insect root damage confirm external
      heat or frost as the predisposing condition.
```

---

## Phase 2 — Replace inference/symptom_extractor.py

**File:** `inference/symptom_extractor.py`
**Action:** Replace the entire file with the content below.

All keyword lists are derived directly from the Vrikshayurveda disorder
table — every symptom term maps to the exact fact strings used in the YAML.

```python
from __future__ import annotations

SYMPTOM_KEYWORDS: dict[str, list[str]] = {

    # ── VATA SYMPTOMS ───────────────────────────────────────────────────
    "trunk_bent": [
        "trunk bent", "bent trunk", "curved trunk", "twisted stem",
        "crooked trunk", "leaning trunk",
    ],
    "knots_on_trunk": [
        "knots", "knotted", "knots on trunk", "knots on leaves",
        "nodules", "galls", "swellings on bark",
    ],
    "hard_fruits": [
        "hard fruit", "hard fruits", "less juicy", "dry fruit",
        "no juice", "tasteless fruit", "woody fruit",
    ],
    "slow_defoliation": [
        "slow defoliation", "leaves not falling", "leaves clinging",
        "slow leaf drop", "delayed leaf shed",
    ],
    "flower_fruit_loss": [
        "loss of flowers", "fruit drop", "flower drop", "dropping fruit",
        "flowers falling", "fruits falling", "premature fruit drop",
    ],
    "general_yellowing": [
        "yellowing", "yellow leaves", "yellowing of leaves",
        "yellowing of fruits", "pale leaves", "chlorosis",
        "leaves turning yellow", "yellow fruit",
    ],

    # ── KAPHA SYMPTOMS ──────────────────────────────────────────────────
    "delayed_fruiting": [
        "delayed fruiting", "fruit bearing delayed", "no fruit",
        "not fruiting", "late fruiting", "delayed bearing",
        "tree not producing",
    ],
    "bland_overripe_fruits": [
        "bland fruit", "bland and overripe", "overripe", "tasteless",
        "flat taste", "no flavour", "watery fruit",
    ],
    "oozing_without_injury": [
        "oozing", "oozing without injury", "seeping", "gummosis",
        "sap oozing", "resin oozing", "spontaneous discharge",
        "leaking sap",
    ],

    # ── PITTA SYMPTOMS ──────────────────────────────────────────────────
    "early_leaf_withering": [
        "early withering", "leaf withering", "premature withering",
        "wilting", "early wilting", "leaves dying early",
        "withered leaves",
    ],
    "early_fruit_flower_decay": [
        "early decay", "fruit decay", "flower decay", "blossom blight",
        "rotting flowers", "rotting fruits", "premature decay",
        "fruit rot", "flower rot",
    ],

    # ── EXTERNAL HEAT / FROST SYMPTOMS ──────────────────────────────────
    "vata_like_symptoms": [
        "vata-like", "vata like symptoms", "vata symptoms",
        "yellowing and drying", "general decline", "drying and yellowing",
    ],

    # ── WIND DAMAGE SYMPTOMS ─────────────────────────────────────────────
    "tree_uprooting": [
        "uprooted", "tree uprooting", "fell", "fallen tree",
        "roots exposed", "tree fell over", "uprooted tree",
    ],
    "branch_breaking": [
        "branch breaking", "broken branch", "branches broken",
        "limbs broken", "snapped branch", "broken limb",
    ],
    "tree_twisting": [
        "tree twisting", "twisted tree", "twisted trunk",
        "trunk twisted", "torqued",
    ],

    # ── FIRE / DROUGHT / LIGHTNING SYMPTOMS ──────────────────────────────
    "tree_drying": [
        "drying", "tree drying", "drying up", "dried out",
        "desiccation", "tree dried", "branches drying",
        "completely dry",
    ],
    "lightning_strike": [
        "lightning", "struck by lightning", "lightning strike",
        "thunder damage", "lightning damage",
    ],

    # ── MECHANICAL WOUND SYMPTOMS ─────────────────────────────────────────
    "tree_wounds": [
        "wound", "wounded", "axe wound", "cut", "gash",
        "mechanical damage", "tool damage", "injured bark",
        "cut with axe", "bark cut",
    ],

    # ── FAULTY SEED SYMPTOMS ──────────────────────────────────────────────
    "tree_unproductive": [
        "unproductive", "not bearing", "no yield", "barren tree",
        "tree not growing", "no produce", "stunted from seed",
        "failed to grow",
    ],

    # ── INSECT / ANT INFESTATION SYMPTOMS ─────────────────────────────────
    "foul_smell": [
        "foul smell", "bad smell", "smell", "odour",
        "unpleasant odour", "rotten smell",
    ],
    "fragrance_loss": [
        "fragrance missing", "fragrance lost", "no fragrance",
        "original fragrance missing", "lost scent",
    ],
    "reduced_leaf_size": [
        "reduced leaf size", "smaller leaves", "small leaves",
        "leaf size reduction", "tiny leaves",
    ],
    "stunted_seedlings": [
        "stunted seedlings", "seedling stunted", "seedling not growing",
        "slow seedling", "weak seedling",
    ],

    # ── EXCESSIVE WATERING SYMPTOMS ───────────────────────────────────────
    "tree_indigestion": [
        "indigestion", "tree indigestion", "waterlogged",
        "soggy roots", "root suffocation", "over watered",
        "overwatered", "root rot from water",
    ],
    "tree_destruction": [
        "destruction", "tree destruction", "deteriorating",
        "collapsing", "decaying rapidly", "dying from water",
    ],

    # ── SEASONAL CONTEXT ──────────────────────────────────────────────────
    "winter_spring_season": [
        "winter", "spring", "cold season", "cool season",
        "winter season", "spring season",
    ],
    "end_of_summer": [
        "end of summer", "late summer", "summer end",
        "post summer", "end of hot season",
    ],
}


def extract_facts(
    user_query: str,
    expanded_queries: list[str],
    retrieved_chunks: list[str],
) -> set[str]:
    """
    Extract atomic Vrikshayurveda facts from all text sources.

    Steps:
    1. Combine user_query + expanded_queries + retrieved_chunks
       into a single lowercase string.
    2. For each (fact, keywords) entry in SYMPTOM_KEYWORDS, check if
       ANY keyword appears in the combined text.
    3. Return the set of matched fact strings.
    """
    combined = " ".join(
        [user_query] + expanded_queries + retrieved_chunks
    ).lower()

    facts: set[str] = set()
    for fact, keywords in SYMPTOM_KEYWORDS.items():
        if any(kw in combined for kw in keywords):
            facts.add(fact)

    return facts
```

---

## Phase 3 — Update JS RULES array in VISUALIZER_HTML

**File:** `app.py`
**Action:** Find the `RULES=[...]` array inside the `VISUALIZER_HTML`
string constant. Replace it entirely with the array below.

Every id, condition, and conclusion string must be character-for-character
identical to the YAML above.

```javascript
const RULES=[
  {id:"R001",conditions:["trunk_bent","knots_on_trunk"],conclusions:["internal_vata_disorder"],priority:10},
  {id:"R002",conditions:["general_yellowing","flower_fruit_loss"],conclusions:["internal_vata_disorder"],priority:10},
  {id:"R003",conditions:["hard_fruits","slow_defoliation"],conclusions:["internal_vata_disorder"],priority:9},
  {id:"R004",conditions:["internal_vata_disorder"],conclusions:["arid_soil_cause"],priority:8},
  {id:"R005",conditions:["internal_vata_disorder"],conclusions:["recommend_panchmula_decoction"],priority:7},
  {id:"R006",conditions:["internal_vata_disorder"],conclusions:["recommend_fermented_fat_decoction"],priority:7},
  {id:"R007",conditions:["delayed_fruiting","bland_overripe_fruits"],conclusions:["internal_kapha_disorder"],priority:10},
  {id:"R008",conditions:["oozing_without_injury"],conclusions:["internal_kapha_disorder"],priority:9},
  {id:"R009",conditions:["internal_kapha_disorder","winter_spring_season"],conclusions:["fungal_rot_cause","excessive_moisture_cause"],priority:10},
  {id:"R010",conditions:["internal_kapha_disorder"],conclusions:["recommend_white_mustard_paste_roots"],priority:7},
  {id:"R011",conditions:["internal_kapha_disorder"],conclusions:["recommend_sesame_ash_water","recommend_fresh_dry_soil"],priority:7},
  {id:"R012",conditions:["early_leaf_withering"],conclusions:["internal_pitta_disorder"],priority:10},
  {id:"R013",conditions:["early_fruit_flower_decay"],conclusions:["internal_pitta_disorder"],priority:10},
  {id:"R014",conditions:["internal_pitta_disorder","end_of_summer"],conclusions:["heat_fungal_cause","salinity_cause"],priority:10},
  {id:"R015",conditions:["internal_pitta_disorder"],conclusions:["recommend_triphala_ghee_honey"],priority:7},
  {id:"R016",conditions:["internal_pitta_disorder"],conclusions:["recommend_milk_honey_yastamdhu_madhuka"],priority:7},
  {id:"R017",conditions:["general_yellowing","vata_like_symptoms"],conclusions:["external_heat_frost_disorder"],priority:9},
  {id:"R018",conditions:["external_heat_frost_disorder"],conclusions:["insect_root_damage_cause","water_stress_cause"],priority:8},
  {id:"R019",conditions:["external_heat_frost_disorder"],conclusions:["recommend_cold_water_7days"],priority:7},
  {id:"R020",conditions:["external_heat_frost_disorder"],conclusions:["recommend_white_mustard_vasa_kusta_paste"],priority:7},
  {id:"R021",conditions:["insect_root_damage_cause"],conclusions:["recommend_milk_kunapa_cowdung_paste"],priority:6},
  {id:"R022",conditions:["tree_uprooting","branch_breaking"],conclusions:["stormy_wind_disorder"],priority:10},
  {id:"R023",conditions:["tree_twisting"],conclusions:["stormy_wind_disorder"],priority:9},
  {id:"R024",conditions:["stormy_wind_disorder"],conclusions:["recommend_plaksa_udumbara_ghee_paste"],priority:7},
  {id:"R025",conditions:["tree_drying","vata_like_symptoms"],conclusions:["fire_lightning_drought_disorder"],priority:9},
  {id:"R026",conditions:["fire_lightning_drought_disorder"],conclusions:["recommend_remove_burned_branches","recommend_milk_water_moisten"],priority:7},
  {id:"R027",conditions:["fire_lightning_drought_disorder"],conclusions:["recommend_lotus_mud_kunapa"],priority:7},
  {id:"R028",conditions:["fire_lightning_drought_disorder","lightning_strike"],conclusions:["recommend_vidari_arsenic_sesame_milk"],priority:8},
  {id:"R029",conditions:["tree_wounds","tree_drying"],conclusions:["mechanical_wound_disorder"],priority:9},
  {id:"R030",conditions:["mechanical_wound_disorder"],conclusions:["recommend_nyagrodha_udumbara_cowdung_paste"],priority:7},
  {id:"R031",conditions:["tree_unproductive"],conclusions:["faulty_seed_disorder"],priority:9},
  {id:"R032",conditions:["faulty_seed_disorder"],conclusions:["seed_pathogen_cause"],priority:8},
  {id:"R033",conditions:["faulty_seed_disorder"],conclusions:["recommend_milk_mustard_ash_seed_treatment"],priority:7},
  {id:"R034",conditions:["foul_smell","fragrance_loss"],conclusions:["insect_infestation_disorder"],priority:10},
  {id:"R035",conditions:["reduced_leaf_size","stunted_seedlings"],conclusions:["insect_infestation_disorder"],priority:9},
  {id:"R036",conditions:["insect_infestation_disorder"],conclusions:["recommend_vidanga_smoke_fumigation"],priority:7},
  {id:"R037",conditions:["insect_infestation_disorder"],conclusions:["recommend_vidanga_ghee_ointment","recommend_soft_water_7days"],priority:7},
  {id:"R038",conditions:["tree_indigestion","tree_destruction"],conclusions:["excessive_watering_disorder"],priority:9},
  {id:"R039",conditions:["excessive_watering_disorder"],conclusions:["recommend_honey_vidanga_roots"],priority:7},
  {id:"R040",conditions:["excessive_moisture_cause","internal_kapha_disorder"],conclusions:["excessive_watering_disorder"],priority:8},
  {id:"R041",conditions:["arid_soil_cause","water_stress_cause"],conclusions:["fire_lightning_drought_disorder"],priority:7},
  {id:"R042",conditions:["vata_like_symptoms","insect_root_damage_cause"],conclusions:["external_heat_frost_disorder"],priority:8},
];
```

---

## Phase 4 — Update FACT_TYPE classifier in VISUALIZER_HTML

**File:** `app.py`
**Action:** Find the `FACT_TYPE` function inside `VISUALIZER_HTML` and
replace it with this version that covers all new fact strings:

```javascript
const FACT_TYPE = f => {
  const symptoms = [
    "trunk_bent","knots_on_trunk","hard_fruits","slow_defoliation",
    "flower_fruit_loss","general_yellowing","delayed_fruiting",
    "bland_overripe_fruits","oozing_without_injury","early_leaf_withering",
    "early_fruit_flower_decay","vata_like_symptoms","tree_uprooting",
    "branch_breaking","tree_twisting","tree_drying","lightning_strike",
    "tree_wounds","tree_unproductive","foul_smell","fragrance_loss",
    "reduced_leaf_size","stunted_seedlings","tree_indigestion",
    "tree_destruction","winter_spring_season","end_of_summer",
  ];
  const doshas = [
    "internal_vata_disorder","internal_kapha_disorder",
    "internal_pitta_disorder","external_heat_frost_disorder",
    "stormy_wind_disorder","fire_lightning_drought_disorder",
    "mechanical_wound_disorder","faulty_seed_disorder",
    "insect_infestation_disorder","excessive_watering_disorder",
  ];
  const causes = [
    "arid_soil_cause","fungal_rot_cause","excessive_moisture_cause",
    "heat_fungal_cause","salinity_cause","insect_root_damage_cause",
    "water_stress_cause","seed_pathogen_cause",
  ];
  if (symptoms.includes(f)) return "symptom";
  if (f.startsWith("recommend_")) return "remedy";
  if (doshas.includes(f)) return "dosha";
  if (causes.includes(f)) return "derived";
  return "derived";
};
```

---

## Phase 5 — Update Gradio symptom selector

**File:** `app.py`
**Action:** Find the `gr.CheckboxGroup` in the Symptom Chain Explorer tab.
Replace it with this expanded selector covering all 9 disorders:

```python
symptom_selector = gr.CheckboxGroup(
    choices=[
        # Vata symptoms
        ("Trunk bent / crooked",         "trunk_bent"),
        ("Knots on trunk or leaves",      "knots_on_trunk"),
        ("Hard / dry fruits",             "hard_fruits"),
        ("Slow defoliation",              "slow_defoliation"),
        ("Flower / fruit loss",           "flower_fruit_loss"),
        ("General yellowing",             "general_yellowing"),
        # Kapha symptoms
        ("Delayed fruiting",              "delayed_fruiting"),
        ("Bland overripe fruits",         "bland_overripe_fruits"),
        ("Oozing without injury",         "oozing_without_injury"),
        # Pitta symptoms
        ("Early leaf withering",          "early_leaf_withering"),
        ("Early fruit / flower decay",    "early_fruit_flower_decay"),
        # External / shared symptoms
        ("Vata-like symptoms (external)", "vata_like_symptoms"),
        ("Tree drying up",                "tree_drying"),
        ("Lightning strike",              "lightning_strike"),
        ("Tree uprooting",                "tree_uprooting"),
        ("Branch breaking",               "branch_breaking"),
        ("Tree twisting",                 "tree_twisting"),
        ("Mechanical wounds (axe etc.)",  "tree_wounds"),
        ("Tree unproductive",             "tree_unproductive"),
        ("Foul smell",                    "foul_smell"),
        ("Fragrance loss",                "fragrance_loss"),
        ("Reduced leaf size",             "reduced_leaf_size"),
        ("Stunted seedlings",             "stunted_seedlings"),
        ("Tree indigestion / waterlogged","tree_indigestion"),
        ("Tree destruction from water",   "tree_destruction"),
        # Seasonal context
        ("Winter / spring season",        "winter_spring_season"),
        ("End of summer season",          "end_of_summer"),
    ],
    label="Observed symptoms",
)
```

---

## Phase 6 — Update smoke test

**File:** `inference/smoke_test.py`
**Action:** Replace the entire file with the content below.

```python
"""
Run with: python -m inference.smoke_test
All 4 scenarios must pass before using the app.
"""
from inference.engine import VrikshayurvedaInferenceEngine

engine = VrikshayurvedaInferenceEngine()


def run_scenario(name: str, query: str, expected_facts: list[str]) -> None:
    print(f"\n{'='*60}")
    print(f"SCENARIO: {name}")
    print('='*60)
    result = engine.diagnose(
        user_query=query,
        expanded_queries=[],
        retrieved_chunks=[],
    )
    print(f"Primary diagnosis : {result.primary_diagnosis}")
    print(f"Dosha             : {result.dosha}")
    print(f"Confidence        : {round(result.confidence * 100)}%")
    print(f"\nForward trace:")
    for line in result.forward_trace:
        print(f"  {line}")
    print(f"\nAll facts in working memory:")
    for f in sorted(result.all_facts):
        print(f"  - {f}")
    missing = [f for f in expected_facts if f not in result.all_facts]
    if missing:
        print(f"\n  FAIL — missing expected facts: {missing}")
    else:
        print(f"\n  PASS — all expected facts present")
    print(f"\nLLM context:")
    print(f"  {result.llm_context}")


run_scenario(
    name="Internal Vata — arid yellowing",
    query="The tree has general yellowing of leaves and fruits with loss of flowers and fruits.",
    expected_facts=[
        "general_yellowing", "flower_fruit_loss",
        "internal_vata_disorder", "arid_soil_cause",
        "recommend_panchmula_decoction",
        "recommend_fermented_fat_decoction",
    ],
)

run_scenario(
    name="Internal Kapha — winter oozing",
    query="The tree is showing delayed fruiting with bland overripe fruits and oozing sap without any injury, it is winter season.",
    expected_facts=[
        "delayed_fruiting", "bland_overripe_fruits",
        "oozing_without_injury", "winter_spring_season",
        "internal_kapha_disorder", "fungal_rot_cause",
        "excessive_moisture_cause",
        "recommend_white_mustard_paste_roots",
        "recommend_sesame_ash_water", "recommend_fresh_dry_soil",
    ],
)

run_scenario(
    name="Internal Pitta — end of summer decay",
    query="Leaves are withering early and fruits are decaying prematurely at the end of summer.",
    expected_facts=[
        "early_leaf_withering", "early_fruit_flower_decay",
        "end_of_summer", "internal_pitta_disorder",
        "heat_fungal_cause", "salinity_cause",
        "recommend_triphala_ghee_honey",
        "recommend_milk_honey_yastamdhu_madhuka",
    ],
)

run_scenario(
    name="Insect infestation",
    query="The tree has a foul smell, original fragrance is missing, and leaves are reduced in size with stunted seedlings.",
    expected_facts=[
        "foul_smell", "fragrance_loss",
        "reduced_leaf_size", "stunted_seedlings",
        "insect_infestation_disorder",
        "recommend_vidanga_smoke_fumigation",
        "recommend_vidanga_ghee_ointment",
        "recommend_soft_water_7days",
    ],
)
```

---

## Phase 7 — Verification checklist

Run in order before declaring done:

```bash
python -m inference.smoke_test
```

All 4 scenarios must show `PASS`.

Then verify in the UI:

- [ ] Symptom selector shows all 27 symptom options
- [ ] Selecting "General yellowing + Flower/fruit loss" fires R002 → R004 → R005 → R006
- [ ] Selecting "Delayed fruiting + Bland overripe fruits + Winter/spring" fires R007 → R009 → R010 → R011
- [ ] Selecting "Early leaf withering + End of summer" fires R012 → R014 → R015 → R016
- [ ] Selecting "Foul smell + Fragrance loss" fires R034 → R036 → R037
- [ ] Selecting "Tree uprooting + Branch breaking" fires R022 → R024
- [ ] Working memory shows correct fact pills after each run
- [ ] Proof trace shows all fired rules with no blank entries

---

## Constraints

- Only touch: `vrikshayurveda_rules.yaml`, `inference/symptom_extractor.py`,
  and `app.py` (RULES array, FACT_TYPE function, and CheckboxGroup only)
- Do not touch: `inference/forward_chain.py`, `inference/backward_chain.py`,
  `inference/engine.py`
- Do not change rule id numbering — R001 through R042 in order
- YAML is the source of truth — if JS and YAML conflict, fix the JS
- Smoke test must pass before launching the app