data-final-fixes.lua

if mods.pyalternativeenergy then -- used in turd upgrade zipir path 3
    local recipe = RECIPE("zipir1-pyvoid"):copy()
    recipe.name = "zipir1-pyvoid-hatchery"
    recipe.icons = nil
    recipe.icon = "__pyhightechgraphics__/graphics/icons/rendering.png"
    recipe.icon_size = 32
    recipe.results = {{type = "item", name = "processed-ash", probability = 0.8, amount = 1}}
    data:extend {recipe}
end

--ADAPTATIONS

for _, drill in pairs(data.raw["mining-drill"]) do
    if drill.module_slots and drill.module_slots ~= 0 then
        drill.allowed_effects = {"consumption", "speed", "productivity"}
    else
        drill.allowed_effects = {"consumption", "productivity"}
    end
end

local recipes_list = {
    "used-comb-oil-recycling",
    "adam42-gen-laser",
    "adam42-gen",
    "zipir-grow-01",
    "agar",
    "alien-enzymes",
    "alien-sample-02",
    "alien-sample-03",
    "antelope",
    "arthropod-blood-to-copper",
    "arthropod-blood-to-organic-solvent",
    "arthurian-food-01",
    "arthurian-food-02",
    "arthurian-grow-01",
    "arthurian",
    "artificial-blood",
    "auog-food-01-sawdust",
    "auog-food-01",
    "auog-food-02-sawdust",
    "auog-food-02",
    "auog",
    "bhoddos-sample",
    "bhoddos-to-ti",
    "bio-container",
    "biobattery",
    "biomass-1-a",
    "biomass-1",
    "biomass-2",
    "biopolymer-2",
    "blood-to-chlorine",
    "blood-to-iron",
    "blood-to-urea",
    "blood-to-zinc",
    "bones-to-phosphate",
    "brain-guts-to-zinc",
    "brain-to-zinc",
    "cadaveric-arum-sample",
    "cadaveric-to-copper",
    "cadaveric-to-sulfur",
    "cage",
    "carapace-to-al",
    "carapace-to-re",
    "cdna",
    "cellulose-00",
    "cellulose-02",
    "cellulose-gasification",
    "chithin-to-phosphate",
    "cobalt-extract",
    "cobalt-fluoride",
    "cobalt-nx",
    "cobalt-oxide",
    "cobalt-sulfate-02",
    "cobalt-sulfate",
    "coke-co2",
    "concrete-02",
    "cooling-system",
    "cottongut-food-01",
    "cottongut-food-02",
    "cottongut-food-03",
    "cridren-sample",
    "cridren-seeds-to-mo",
    "cysteine",
    "cytostatics",
    "decalin",
    "dhilmos-food-01",
    "dhilmos-food-02",
    "dhilmos-grow-01",
    "dhilmos",
    "dingrits-food-01",
    "dingrits-food-02",
    "dna-polymerase-2",
    "dna-polymerase",
    "dried-grods-02",
    "dried-grods",
    "dynemicin",
    "earth-antelope-sample",
    "earth-bear-sample",
    "earth-cow-sample",
    "earth-crustacean-sample",
    "earth-flower-sample",
    "earth-generic-sample",
    "earth-giraffe-sample",
    "earth-horse-sample",
    "earth-jute-sample",
    "earth-lizard-sample",
    "earth-palmtree-sample",
    "earth-potato-sample",
    "earth-roadrunner-sample",
    "earth-sea-sponge-sample",
    "earth-sunflower-sample",
    "earth-tiger-sample",
    "earth-tropical-tree-sample",
    "earth-venus-fly-sample",
    "earth-wolf-sample",
    "empty-planter-box",
    "empty-neuromorphic-chip",
    "enediyne",
    "energy-drink",
    "energy-drinkb",
    "enzyme-pks",
    "enzyme-pks-nickel-carbonyl",
    "ethanol-combustion",
    "ethanol",
    "ethylene-from-fruit",
    "fawogae-spore",
    "fawogae-to-iron",
    "fawogae-to-sulfur",
    "fertilizer-fish-1",
    "fertilizer-fish-2",
    "fertilizer-fish-3",
    "fertilizer-1",
    "fertilizer-2",
    "fertilizer-3",
    "fertilizer-4",
    "fertilizer-5",
    "fetal-serum-01",
    "fiber-01",
    "fiber-dry-storage",
    "filtration-media-2",
    "filtration-media-2-nanofibril-turd",
    "filtration-media-3",
    "filtration-media-4",
    "fish-food-01",
    "fish-food-02",
    "fish-oil-combustion",
    "fish-oil",
    "fish-to-iron",
    "fish-to-phosphate",
    "fish-to-tin",
    "flavonoids",
    "flutec-pp6",
    "formamide",
    "formic-acid",
    "gas-bladder-to-natura-gas",
    "gasoline-cellulose",
    "grod-sample",
    "grod-to-tin",
    "grod-to-zinc",
    "gta",
    "guts-to-chlorine",
    "guts-to-copper",
    "guts-to-zinc",
    "hcl-from-guts",
    "hyaline",
    "immunosupressants",
    "kicalk-fiber",
    "kicalk-sample",
    "kicalk-to-iron",
    "kmauts-ration-chitin",
    "korlex-food-01",
    "korlex-food-02",
    "lab-instrument-2",
    "lard-combustion",
    "lard-from-brains",
    "latex-slab",
    "latex",
    "lignin-to-aromatics",
    "lignin",
    "lime-from-shell",
    "liquid-manure",
    "log-wood-fast",
    "manure-bacteria-fish",
    "manure-bacteria",
    "manure-to-biomass",
    "manure-to-crude",
    "manure-to-nitrogen",
    "meat-and-gut-to-copper",
    "meat-to-chromium",
    "meat-to-copper",
    "meat-to-cyanic",
    "meat-to-iron",
    "meat-to-nitrogen",
    "meat-to-phosphate",
    "meat-to-tin",
    "methane-from-liquid-manure",
    "microcin-j25",
    "mixed-ores",
    "mmp",
    "mosfet",
    "moss-gen",
    "mukmoux-food-01",
    "mukmoux-food-02",
    "mukmoux",
    "nano-cellulose",
    "naven-coal",
    "navens-sample",
    "navens-spore",
    "navens-to-ti",
    "navens-to-tin",
    "neuromorphic-chip",
    "neuroprocessor",
    "nitrogen-mustard",
    "olechemicals-from-skin",
    "oleochemical-combustion",
    "oleochemicals-3",
    "organics-from-wood-2",
    "pacifastin",
    "paper-towel",
    "pelt-processing",
    "peptidase-m58",
    "petri-dish",
    "phadai-food-01",
    "phadai-food-02",
    "phadai",
    "phagnot-food-01",
    "phagnot-food-02",
    "phenol-02",
    "phenol-3",
    "pheromones",
    "planter-box",
    "plasmids",
    "primers",
    "primers-02",
    "primers-03",
    "propeptides",
    "purine-analogues",
    "py-science-pack-1-turd",
    "py-science-pack-1",
    "py-science-pack-2-turd",
    "py-science-pack-2",
    "py-science-pack-3-turd",
    "py-science-pack-3",
    "py-science-pack-4-turd",
    "py-science-pack-4",
    "ralesia-sample",
    "ralesia-seeds-paper-towel",
    "recombinant-ery-2",
    "recombinant-ery-3",
    "recombinant-ery",
    "rennea-sample",
    "rennea-seeds",
    "rennea-to-copper",
    "rennea-to-phosphate",
    "replicator-bioreserve",
    "replicator-ralesia",
    "replicator-rennea",
    "replicator-tuuphra",
    "replicator-yotoi-fruit",
    "replicator-yotoi",
    "replicator-kicalk",
    "replicator-grod",
    "replicator-cadaveric-arum",
    "retrovirus-2",
    "retrovirus",
    "scrondrix",
    "sea-sponge-processing-01",
    "sea-sponge-sprouts-2",
    "sea-sponge-sprouts-3",
    "sea-sponge-sprouts-4",
    "sea-sponge-sprouts-processing-01",
    "sea-sponge-sprouts",
    "sea-sponge",
    "simik-food-01",
    "simik-food-02",
    "sodium-alginate",
    "soil-separation-2",
    "spikes-to-mo",
    "stopper",
    "sugar",
    "sweet-syrup",
    "syrup-01",
    "tuupha-to-iron",
    "tuuphra-sample",
    "tuuphra-seeds",
    "tuuphra-to-copper",
    "tuuphra-to-mo",
    "ulric-food-01",
    "ulric-food-02",
    "ulric",
    "urea-from-liquid-manure",
    "vrauks-food-01",
    "vrauks-food-02",
    "vrauks",
    "wood-seedling",
    "wood-seeds-to-phosphate",
    "wood-seeds",
    "workers-food-02",
    "workers-food-03",
    "workers-food",
    "yaedol-to-sulfur",
    "yaedols-sample",
    "yaedols-spores",
    "yaedols-to-copper",
    "yotoi-cellulose",
    "yotoi-fruit-to-chromium",
    "yotoi-fruit-to-tin",
    "yotoi-leaves-to-chromium",
    "yotoi-leaves",
    "yotoi-sample",
    "yotoi-seed-to-chromium",
    "yotoi-seeds-cold",
    "yotoi-seeds",
    "zinc-finger-proteins",
    "zipir-food-01",
    "zipir-food-02",
    "zogna-bacteria-darkness",
    "zogna-bacteria",
    "zymogens",

    "deposited-core",
    "biofilm-pyht",
    "graphene-roll",
    "processor-core",
    "high-flux-core",
    "diode-core",
    "carbon-nanotube",
    "nanochip",
    "kondo-core",
    "kondo-processor",
    "nanocrystaline-core",
    "nems",
    "volumetric-capacitor",
    "metallic-glass",
    "nanochondria",
    "magnetic-beads",
    "antitumor",
    "antitumor-2",
    "1d-photonic-crystal",
    "quantum-battery",
    "mqdc",
    "ingaas",
    "quantum-well",
    "plasmonic-core",
    "core-shell",
    "ns-material",
    "photon-deposited-quartz",
    "fdtd",
    "milfe",
    "mirror-mk04",
    "guano-explosives",
    "plastic-bar-02",
    "tuuphra-grease",

    "cottongut-science-red-seeds-80-20",
    "cottongut-science-green-seeds-80-20",
    "cottongut-science-blue-seeds-80-20",
    "cottongut-science-py-seeds-80-20",
    "cottongut-science-prod-seeds-80-20",
    "cottongut-science-red-seeds",
    "cottongut-science-green-seeds",
    "cottongut-science-blue-seeds",
    "cottongut-science-py-seeds",
    "cottongut-science-prod-seeds",
    "subcritical-water-02",
}

--adding to module limitation list
py.allow_productivity(recipes_list)

local mod_cats = {
    "tree",
    "seaweed",
    "moss",
    "sap",
    "ulric",
    "sponge",
    "ralesia",
    "mukmoux",
    "tuuphra",
    "arthurian",
    "navens",
    "yotoi",
    "rennea",
    "dhilmos",
    "scrondrix",
    "phadai",
    "auog",
    "fish",
    "yaedols",
    "dingrits",
    "kmauts",
    "vonix",
    "grod",
    "phagnot",
    "bhoddos",
    "arqad",
    "xeno",
    "kicalk",
    "cridren",
    "antelope",
    "zipir",
    "trits",
    "arum",
    "vrauks",
    "xyhiphoe",
    "korlex",
    "fawogae",
    "moondrop",
    "cottongut",
    "guar"
}

-- MOUNTS

local allowed_equipment = {
    "active-defense-equipment",
    "battery-equipment",
    "belt-immunity-equipment",
    "energy-shield-equipment",
    "movement-bonus-equipment",
    "roboport-equipment"
}
for _, equipments in pairs(allowed_equipment) do
    for _, equipment in pairs(data.raw[equipments]) do
        if equipment.name ~= "ulric-infusion-equipment" then
            equipment.categories = equipment.categories or {}
            local contains = false
            for _, category in pairs(equipment.categories) do
                if category == "py-mount-generator" then
                    contains = true
                    break
                end
            end
            if not contains then
                table.insert(equipment.categories, "py-mount-generator")
            end
        end
    end
end
local disallowed_equipment = {"generator-equipment", "night-vision-equipment", "solar-panel-equipment"}
for _, equipments in pairs(disallowed_equipment) do
    for _, equipment in pairs(data.raw[equipments]) do
        local new_categories = {}
        for _, category in pairs(equipment.categories or {}) do
            if category ~= "py-mount-generator" then
                new_categories[#new_categories + 1] = category
            end
        end
        equipment.categories = new_categories
    end
end
data.raw["generator-equipment"]["py-mount-generator"].categories = {"py-mount-generator"}