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Exact implementation of angry-purple-tiger\n// https://github.com/helium/angry-purple-tiger\n// Using blueimp-md5 for correct MD5 hashing\n\nimport md5 from \"https://esm.sh/blueimp-md5@2.19.0\";\n\n// Word lists from the original library (exact order matters!)\nconst ADJECTIVES = [\n \"attractive\", \"bald\", \"beautiful\", \"rare\", \"clean\", \"dazzling\", \"lucky\", \"elegant\",\n \"fancy\", \"fit\", \"fantastic\", \"glamorous\", \"gorgeous\", \"handsome\", \"long\", \"magnificent\",\n \"muscular\", \"plain\", \"able\", \"quaint\", \"scruffy\", \"innocent\", \"short\", \"skinny\",\n \"acrobatic\", \"tall\", \"proper\", \"alert\", \"lone\", \"agreeable\", \"ambitious\", \"brave\",\n \"calm\", \"delightful\", \"eager\", \"faithful\", \"gentle\", \"happy\", \"jolly\", \"kind\",\n \"lively\", \"nice\", \"obedient\", \"polite\", \"proud\", \"silly\", \"thankful\", \"winning\",\n \"witty\", \"wonderful\", \"zealous\", \"expert\", \"amateur\", \"clumsy\", \"amusing\", \"vast\",\n \"fierce\", \"real\", \"helpful\", \"itchy\", \"atomic\", \"basic\", \"mysterious\", \"blurry\",\n \"perfect\", \"best\", \"powerful\", \"interesting\", \"decent\", \"wild\", \"jovial\", \"genuine\",\n \"broad\", \"brisk\", \"brilliant\", \"curved\", \"deep\", \"flat\", \"high\", \"hollow\", \"low\",\n \"narrow\", \"refined\", \"round\", \"shallow\", \"square\", \"steep\", \"straight\", \"wide\",\n \"big\", \"colossal\", \"clever\", \"gigantic\", \"great\", \"huge\", \"immense\", \"large\",\n \"little\", \"mammoth\", \"massive\", \"micro\", \"mini\", \"petite\", \"puny\", \"scrawny\",\n \"small\", \"polished\", \"teeny\", \"tiny\", \"crazy\", \"dancing\", \"custom\", \"faint\",\n \"harsh\", \"formal\", \"howling\", \"loud\", \"melodic\", \"noisy\", \"upbeat\", \"quiet\",\n \"dandy\", \"raspy\", \"rhythmic\", \"daring\", \"zany\", \"digital\", \"dizzy\", \"exotic\",\n \"fun\", \"furry\", \"hidden\", \"ancient\", \"brief\", \"early\", \"fast\", \"future\", \"late\",\n \"modern\", \"old\", \"prehistoric\", \"zesty\", \"rapid\", \"slow\", \"swift\", \"young\",\n \"acidic\", \"bitter\", \"cool\", \"creamy\", \"keen\", \"tricky\", \"fresh\", \"special\",\n \"unique\", \"hot\", \"magic\", \"main\", \"nutty\", \"pet\", \"mythical\", \"ripe\", \"wobbly\",\n \"salty\", \"savory\", \"sour\", \"spicy\", \"bright\", \"stale\", \"sweet\", \"tangy\", \"tart\",\n \"rich\", \"rural\", \"urban\", \"breezy\", \"bumpy\", \"chilly\", \"cold\", \"cuddly\", \"damaged\",\n \"damp\", \"restless\", \"dry\", \"flaky\", \"fluffy\", \"virtual\", \"merry\", \"icy\", \"shiny\",\n \"melted\", \"joyous\", \"rough\", \"shaggy\", \"sharp\", \"radiant\", \"sticky\", \"strong\",\n \"soft\", \"uneven\", \"warm\", \"feisty\", \"cheery\", \"energetic\", \"abundant\", \"macho\",\n \"glorious\", \"mean\", \"quick\", \"precise\", \"stable\", \"spare\", \"sunny\", \"trendy\",\n \"shambolic\", \"striped\", \"boxy\", \"generous\", \"tame\", \"joyful\", \"festive\", \"bubbly\",\n \"soaring\", \"orbiting\", \"sparkly\", \"smooth\", \"docile\", \"original\", \"electric\",\n \"funny\", \"passive\", \"active\", \"cheesy\", \"blunt\", \"dapper\", \"bent\", \"curly\",\n \"oblong\", \"sneaky\", \"overt\", \"careful\", \"jumpy\", \"bouncy\", \"recumbent\", \"cheerful\",\n \"droll\", \"odd\", \"suave\", \"sleepy\",\n];\n\nconst COLORS = [\n \"white\", \"pearl\", \"alabaster\", \"snowy\", \"ivory\", \"cream\", \"cotton\", \"chiffon\",\n \"lace\", \"coconut\", \"linen\", \"bone\", \"daisy\", \"powder\", \"frost\", \"porcelain\",\n \"parchment\", \"velvet\", \"tan\", \"beige\", \"macaroon\", \"hazel\", \"felt\", \"metal\",\n \"gingham\", \"sand\", \"sepia\", \"latte\", \"vinyl\", \"glass\", \"hazelnut\", \"canvas\",\n \"wool\", \"yellow\", \"golden\", \"daffodil\", \"flaxen\", \"butter\", \"lemon\", \"mustard\",\n \"tartan\", \"blue\", \"cloth\", \"fiery\", \"banana\", \"plastic\", \"dijon\", \"honey\",\n \"blonde\", \"pineapple\", \"orange\", \"tangerine\", \"marigold\", \"cider\", \"rusty\",\n \"ginger\", \"tiger\", \"bronze\", \"fuzzy\", \"opaque\", \"clay\", \"carrot\", \"corduroy\",\n \"ceramic\", \"marmalade\", \"amber\", \"sandstone\", \"concrete\", \"red\", \"cherry\",\n \"hemp\", \"merlot\", \"garnet\", \"crimson\", \"ruby\", \"scarlet\", \"burlap\", \"brick\",\n \"bamboo\", \"mahogany\", \"blood\", \"sangria\", \"berry\", \"currant\", \"blush\", \"candy\",\n \"lipstick\", \"pink\", \"rose\", \"fuchsia\", \"punch\", \"watermelon\", \"rouge\", \"coral\",\n \"peach\", \"strawberry\", \"rosewood\", \"lemonade\", \"taffy\", \"bubblegum\", \"crepe\",\n \"hotpink\", \"purple\", \"mauve\", \"violet\", \"boysenberry\", \"lavender\", \"plum\",\n \"magenta\", \"lilac\", \"grape\", \"eggplant\", \"eggshell\", \"iris\", \"heather\", \"amethyst\",\n \"raisin\", \"orchid\", \"mulberry\", \"carbon\", \"slate\", \"sky\", \"navy\", \"indigo\",\n \"cobalt\", \"cedar\", \"ocean\", \"azure\", \"cerulean\", \"spruce\", \"stone\", \"aegean\",\n \"denim\", \"admiral\", \"sapphire\", \"arctic\", \"green\", \"chartreuse\", \"juniper\",\n \"sage\", \"lime\", \"fern\", \"olive\", \"emerald\", \"pear\", \"mossy\", \"shamrock\",\n \"seafoam\", \"pine\", \"mint\", \"seaweed\", \"pickle\", \"pistachio\", \"basil\", \"brown\",\n \"coffee\", \"chrome\", \"peanut\", \"carob\", \"hickory\", \"wooden\", \"pecan\", \"walnut\",\n \"caramel\", \"gingerbread\", \"syrup\", \"chocolate\", \"tortilla\", \"umber\", \"tawny\",\n \"brunette\", \"cinnamon\", \"glossy\", \"teal\", \"grey\", \"shadow\", \"graphite\", \"iron\",\n \"pewter\", \"cloud\", \"silver\", \"smoke\", \"gauze\", \"ash\", \"foggy\", \"flint\",\n \"charcoal\", \"pebble\", \"lead\", \"tin\", \"fossilized\", \"black\", \"ebony\", \"midnight\",\n \"inky\", \"oily\", \"satin\", \"onyx\", \"nylon\", \"fleece\", \"sable\", \"jetblack\", \"coal\",\n \"mocha\", \"obsidian\", \"jade\", \"cyan\", \"leather\", \"maroon\", \"carmine\", \"aqua\",\n \"chambray\", \"holographic\", \"laurel\", \"licorice\", \"khaki\", \"goldenrod\", \"malachite\",\n \"mandarin\", \"mango\", \"taupe\", \"aquamarine\", \"turquoise\", \"vermilion\", \"saffron\",\n \"cinnabar\", \"myrtle\", \"neon\", \"burgundy\", \"tangelo\", \"topaz\", \"wintergreen\",\n \"viridian\", \"vanilla\", \"paisley\", \"raspberry\", \"tweed\", \"pastel\", \"opal\",\n \"menthol\", \"champagne\", \"gunmetal\", \"infrared\", \"ultraviolet\", \"rainbow\",\n \"mercurial\", \"clear\", \"misty\", \"steel\", \"zinc\", \"citron\", \"cornflower\", \"lava\",\n \"quartz\", \"honeysuckle\", \"chili\",\n];\n\nconst ANIMALS = [\n \"alligator\", \"bee\", \"bird\", \"camel\", \"cat\", \"cheetah\", \"chicken\", \"cow\", \"dog\",\n \"corgi\", \"eagle\", \"elephant\", \"fish\", \"fox\", \"toad\", \"giraffe\", \"hippo\",\n \"kangaroo\", \"kitten\", \"lobster\", \"monkey\", \"octopus\", \"pig\", \"puppy\", \"rabbit\",\n \"rat\", \"scorpion\", \"seal\", \"sheep\", \"snail\", \"spider\", \"tiger\", \"turtle\", \"newt\",\n \"tadpole\", \"frog\", \"tarantula\", \"albatross\", \"blackbird\", \"canary\", \"crow\",\n \"cuckoo\", \"dove\", \"pigeon\", \"falcon\", \"finch\", \"flamingo\", \"goose\", \"seagull\",\n \"hawk\", \"jay\", \"mockingbird\", \"kestrel\", \"kookaburra\", \"mallard\", \"nightingale\",\n \"nuthatch\", \"ostrich\", \"owl\", \"parakeet\", \"parrot\", \"peacock\", \"pelican\",\n \"penguin\", \"pheasant\", \"piranha\", \"raven\", \"robin\", \"rooster\", \"sparrow\",\n \"stork\", \"swallow\", \"swan\", \"swift\", \"turkey\", \"vulture\", \"woodpecker\", \"wren\",\n \"butterfly\", \"barbel\", \"carp\", \"cod\", \"crab\", \"eel\", \"goldfish\", \"haddock\",\n \"halibut\", \"jellyfish\", \"perch\", \"pike\", \"mantaray\", \"salmon\", \"sawfish\",\n \"scallop\", \"shark\", \"shell\", \"shrimp\", \"trout\", \"ant\", \"aphid\", \"beetle\",\n \"caterpillar\", \"dragonfly\", \"cricket\", \"fly\", \"grasshopper\", \"ladybug\",\n \"millipede\", \"moth\", \"wasp\", \"anteater\", \"antelope\", \"armadillo\", \"badger\",\n \"bat\", \"beaver\", \"bull\", \"chimpanzee\", \"dachshund\", \"deer\", \"dolphin\", \"elk\",\n \"moose\", \"gazelle\", \"gerbil\", \"goat\", \"bear\", \"hamster\", \"hare\", \"hedgehog\",\n \"horse\", \"hyena\", \"lion\", \"llama\", \"lynx\", \"mammoth\", \"marmot\", \"mink\", \"mole\",\n \"mongoose\", \"mouse\", \"mule\", \"otter\", \"panda\", \"platypus\", \"pony\", \"porcupine\",\n \"puma\", \"raccoon\", \"reindeer\", \"rhino\", \"skunk\", \"sloth\", \"squirrel\", \"weasel\",\n \"snake\", \"wolf\", \"zebra\", \"boa\", \"chameleon\", \"copperhead\", \"cottonmouth\",\n \"crocodile\", \"rattlesnake\", \"gecko\", \"iguana\", \"lizard\", \"python\", \"salamander\",\n \"sidewinder\", \"whale\", \"tortoise\", \"lemur\", \"rook\", \"koala\", \"donkey\", \"ferret\",\n \"tardigrade\", \"orca\", \"okapi\", \"liger\", \"unicorn\", \"dragon\", \"squid\", \"ape\",\n \"gorilla\", \"baboon\", \"cormorant\", \"mantis\", \"tapir\", \"capybara\", \"pangolin\",\n \"opossum\", \"wombat\", \"aardvark\", \"starfish\", \"shetland\", \"narwhal\", \"worm\",\n \"hornet\", \"viper\", \"stallion\", \"jaguar\", \"panther\", \"bobcat\", \"leopard\",\n \"osprey\", \"cougar\", \"dalmatian\", \"terrier\", \"duck\", \"sealion\", \"chipmunk\",\n \"loris\", \"poodle\", \"orangutan\", \"gibbon\", \"meerkat\", \"huskie\", \"barracuda\",\n \"bison\", \"caribou\", \"chinchilla\", \"coyote\", \"crane\", \"dinosaur\", \"lark\",\n \"griffin\", \"yeti\", \"troll\", \"seahorse\", \"walrus\", \"yak\", \"wolverine\", \"boar\",\n \"alpaca\", \"porpoise\", \"manatee\", \"guppy\", \"condor\", \"cyborg\", \"cobra\", \"locust\",\n \"mandrill\", \"oyster\", \"urchin\", \"quail\", \"sardine\", \"ram\", \"starling\", \"wallaby\",\n \"buffalo\", \"goblin\", \"tuna\", \"mustang\",\n];\n\n// Compress bytes to target length using XOR (exact algorithm from library)\nfunction compress(bytes: number[], target: number): number[] {\n const length = bytes.length;\n const segSize = Math.floor(length / target);\n const segments: number[][] = [];\n\n for (let i = 0; i < segSize * target; i += segSize) {\n segments.push(bytes.slice(i, i + segSize));\n }\n\n // Add remaining bytes to last segment\n const lastSeg = segments[segments.length - 1];\n segments[segments.length - 1] = lastSeg.concat(bytes.slice(target * segSize));\n\n // XOR each segment to get checksums\n return segments.map(seg => seg.reduce((acc, curr) => acc ^ curr, 0));\n}\n\n// Convert hex string to byte array\nfunction hexToBytes(hex: string): number[] {\n const bytes: number[] = [];\n for (let i = 0; i < hex.length; i += 2) {\n bytes.push(parseInt(hex.substring(i, i + 2), 16));\n }\n return bytes;\n}\n\n// Generate animal name from input string (exact angry-purple-tiger algorithm)\nexport function animalHash(input: string): string {\n const hexDigest = md5(input);\n const bytes = hexToBytes(hexDigest);\n const compressed = compress(bytes, 3);\n\n const adjective = ADJECTIVES[compressed[0] % ADJECTIVES.length];\n const color = COLORS[compressed[1] % COLORS.length];\n const animal = ANIMALS[compressed[2] % ANIMALS.length];\n\n return `${adjective}-${color}-${animal}`;\n}\n","// Exact implementation of angry-purple-tiger\n// https://github.com/helium/angry-purple-tiger\n// Using blueimp-md5 for correct MD5 hashing\n\nimport md5 from \"https://esm.sh/blueimp-md5@2.19.0\";\n\n// Word lists from the original library (exact order matters!)\nconst ADJECTIVES = [\n \"attractive\", \"bald\", \"beautiful\", \"rare\", \"clean\", \"dazzling\", \"lucky\", \"elegant\",\n \"fancy\", \"fit\", \"fantastic\", \"glamorous\", \"gorgeous\", \"handsome\", \"long\", \"magnificent\",\n \"muscular\", \"plain\", \"able\", \"quaint\", \"scruffy\", \"innocent\", \"short\", \"skinny\",\n \"acrobatic\", \"tall\", \"proper\", \"alert\", \"lone\", \"agreeable\", \"ambitious\", \"brave\",\n \"calm\", \"delightful\", \"eager\", \"faithful\", \"gentle\", \"happy\", \"jolly\", \"kind\",\n \"lively\", \"nice\", \"obedient\", \"polite\", \"proud\", \"silly\", \"thankful\", \"winning\",\n \"witty\", \"wonderful\", \"zealous\", \"expert\", \"amateur\", \"clumsy\", \"amusing\", \"vast\",\n \"fierce\", \"real\", \"helpful\", \"itchy\", \"atomic\", \"basic\", \"mysterious\", \"blurry\",\n \"perfect\", \"best\", \"powerful\", \"interesting\", \"decent\", \"wild\", \"jovial\", \"genuine\",\n \"broad\", \"brisk\", \"brilliant\", \"curved\", \"deep\", \"flat\", \"high\", \"hollow\", \"low\",\n \"narrow\", \"refined\", \"round\", \"shallow\", \"skinny\", \"square\", \"steep\", \"straight\", \"wide\",\n \"big\", \"colossal\", \"clever\", \"gigantic\", \"great\", \"huge\", \"immense\", \"large\",\n \"little\", \"mammoth\", \"massive\", \"micro\", \"mini\", \"petite\", \"puny\", \"scrawny\",\n \"small\", \"polished\", \"teeny\", \"tiny\", \"crazy\", \"dancing\", \"custom\", \"faint\",\n \"harsh\", \"formal\", \"howling\", \"loud\", \"melodic\", \"noisy\", \"upbeat\", \"quiet\",\n \"dandy\", \"raspy\", \"rhythmic\", \"daring\", \"zany\", \"digital\", \"dizzy\", \"exotic\",\n \"fun\", \"furry\", \"hidden\", \"ancient\", \"brief\", \"early\", \"fast\", \"future\", \"late\",\n \"modern\", \"old\", \"prehistoric\", \"zesty\", \"rapid\", \"slow\", \"swift\", \"young\",\n \"acidic\", \"bitter\", \"cool\", \"creamy\", \"keen\", \"tricky\", \"fresh\", \"special\",\n \"unique\", \"hot\", \"magic\", \"main\", \"nutty\", \"pet\", \"mythical\", \"ripe\", \"wobbly\",\n \"salty\", \"savory\", \"sour\", \"spicy\", \"bright\", \"stale\", \"sweet\", \"tangy\", \"tart\",\n \"rich\", \"rural\", \"urban\", \"breezy\", \"bumpy\", \"chilly\", \"cold\", \"cuddly\", \"damaged\",\n \"damp\", \"restless\", \"dry\", \"flaky\", \"fluffy\", \"virtual\", \"merry\", \"icy\", \"shiny\",\n \"melted\", \"joyous\", \"rough\", \"shaggy\", \"sharp\", \"radiant\", \"sticky\", \"strong\",\n \"soft\", \"uneven\", \"warm\", \"feisty\", \"cheery\", \"energetic\", \"abundant\", \"macho\",\n \"glorious\", \"mean\", \"quick\", \"precise\", \"stable\", \"spare\", \"sunny\", \"trendy\",\n \"shambolic\", \"striped\", \"boxy\", \"generous\", \"tame\", \"joyful\", \"festive\", \"bubbly\",\n \"soaring\", \"orbiting\", \"sparkly\", \"smooth\", \"docile\", \"original\", \"electric\",\n \"funny\", \"passive\", \"active\", \"cheesy\", \"blunt\", \"dapper\", \"bent\", \"curly\",\n \"oblong\", \"sneaky\", \"overt\", \"careful\", \"jumpy\", \"bouncy\", \"recumbent\", \"cheerful\",\n \"droll\", \"odd\", \"suave\", \"sleepy\",\n];\n\nconst COLORS = [\n \"white\", \"pearl\", \"alabaster\", \"snowy\", \"ivory\", \"cream\", \"cotton\", \"chiffon\",\n \"lace\", \"coconut\", \"linen\", \"bone\", \"daisy\", \"powder\", \"frost\", \"porcelain\",\n \"parchment\", \"velvet\", \"tan\", \"beige\", \"macaroon\", \"hazel\", \"felt\", \"metal\",\n \"gingham\", \"sand\", \"sepia\", \"latte\", \"vinyl\", \"glass\", \"hazelnut\", \"canvas\",\n \"wool\", \"yellow\", \"golden\", \"daffodil\", \"flaxen\", \"butter\", \"lemon\", \"mustard\",\n \"tartan\", \"blue\", \"cloth\", \"fiery\", \"banana\", \"plastic\", \"dijon\", \"honey\",\n \"blonde\", \"pineapple\", \"orange\", \"tangerine\", \"marigold\", \"cider\", \"rusty\",\n \"ginger\", \"tiger\", \"bronze\", \"fuzzy\", \"opaque\", \"clay\", \"carrot\", \"corduroy\",\n \"ceramic\", \"marmalade\", \"amber\", \"sandstone\", \"concrete\", \"red\", \"cherry\",\n \"hemp\", \"merlot\", \"garnet\", \"crimson\", \"ruby\", \"scarlet\", \"burlap\", \"brick\",\n \"bamboo\", \"mahogany\", \"blood\", \"sangria\", \"berry\", \"currant\", \"blush\", \"candy\",\n \"lipstick\", \"pink\", \"rose\", \"fuchsia\", \"punch\", \"watermelon\", \"rouge\", \"coral\",\n \"peach\", \"strawberry\", \"rosewood\", \"lemonade\", \"taffy\", \"bubblegum\", \"crepe\",\n \"hotpink\", \"purple\", \"mauve\", \"violet\", \"boysenberry\", \"lavender\", \"plum\",\n \"magenta\", \"lilac\", \"grape\", \"eggplant\", \"eggshell\", \"iris\", \"heather\", \"amethyst\",\n \"raisin\", \"orchid\", \"mulberry\", \"carbon\", \"slate\", \"sky\", \"navy\", \"indigo\",\n \"cobalt\", \"cedar\", \"ocean\", \"azure\", \"cerulean\", \"spruce\", \"stone\", \"aegean\",\n \"denim\", \"admiral\", \"sapphire\", \"arctic\", \"green\", \"chartreuse\", \"juniper\",\n \"sage\", \"lime\", \"fern\", \"olive\", \"emerald\", \"pear\", \"mossy\", \"shamrock\",\n \"seafoam\", \"pine\", \"mint\", \"seaweed\", \"pickle\", \"pistachio\", \"basil\", \"brown\",\n \"coffee\", \"chrome\", \"peanut\", \"carob\", \"hickory\", \"wooden\", \"pecan\", \"walnut\",\n \"caramel\", \"gingerbread\", \"syrup\", \"chocolate\", \"tortilla\", \"umber\", \"tawny\",\n \"brunette\", \"cinnamon\", \"glossy\", \"teal\", \"grey\", \"shadow\", \"graphite\", \"iron\",\n \"pewter\", \"cloud\", \"silver\", \"smoke\", \"gauze\", \"ash\", \"foggy\", \"flint\",\n \"charcoal\", \"pebble\", \"lead\", \"tin\", \"fossilized\", \"black\", \"ebony\", \"midnight\",\n \"inky\", \"oily\", \"satin\", \"onyx\", \"nylon\", \"fleece\", \"sable\", \"jetblack\", \"coal\",\n \"mocha\", \"obsidian\", \"jade\", \"cyan\", \"leather\", \"maroon\", \"carmine\", \"aqua\",\n \"chambray\", \"holographic\", \"laurel\", \"licorice\", \"khaki\", \"goldenrod\", \"malachite\",\n \"mandarin\", \"mango\", \"taupe\", \"aquamarine\", \"turquoise\", \"vermilion\", \"saffron\",\n \"cinnabar\", \"myrtle\", \"neon\", \"burgundy\", \"tangelo\", \"topaz\", \"wintergreen\",\n \"viridian\", \"vanilla\", \"paisley\", \"raspberry\", \"tweed\", \"pastel\", \"opal\",\n \"menthol\", \"champagne\", \"gunmetal\", \"infrared\", \"ultraviolet\", \"rainbow\",\n \"mercurial\", \"clear\", \"misty\", \"steel\", \"zinc\", \"citron\", \"cornflower\", \"lava\",\n \"quartz\", \"honeysuckle\", \"chili\",\n];\n\nconst ANIMALS = [\n \"alligator\", \"bee\", \"bird\", \"camel\", \"cat\", \"cheetah\", \"chicken\", \"cow\", \"dog\",\n \"corgi\", \"eagle\", \"elephant\", \"fish\", \"fox\", \"toad\", \"giraffe\", \"hippo\",\n \"kangaroo\", \"kitten\", \"lobster\", \"monkey\", \"octopus\", \"pig\", \"puppy\", \"rabbit\",\n \"rat\", \"scorpion\", \"seal\", \"sheep\", \"snail\", \"spider\", \"tiger\", \"turtle\", \"newt\",\n \"tadpole\", \"frog\", \"tarantula\", \"albatross\", \"blackbird\", \"canary\", \"crow\",\n \"cuckoo\", \"dove\", \"pigeon\", \"falcon\", \"finch\", \"flamingo\", \"goose\", \"seagull\",\n \"hawk\", \"jay\", \"mockingbird\", \"kestrel\", \"kookaburra\", \"mallard\", \"nightingale\",\n \"nuthatch\", \"ostrich\", \"owl\", \"parakeet\", \"parrot\", \"peacock\", \"pelican\",\n \"penguin\", \"pheasant\", \"piranha\", \"raven\", \"robin\", \"rooster\", \"sparrow\",\n \"stork\", \"swallow\", \"swan\", \"swift\", \"turkey\", \"vulture\", \"woodpecker\", \"wren\",\n \"butterfly\", \"barbel\", \"carp\", \"cod\", \"crab\", \"eel\", \"goldfish\", \"haddock\",\n \"halibut\", \"jellyfish\", \"perch\", \"pike\", \"mantaray\", \"salmon\", \"sawfish\",\n \"scallop\", \"shark\", \"shell\", \"shrimp\", \"trout\", \"ant\", \"aphid\", \"beetle\",\n \"caterpillar\", \"dragonfly\", \"cricket\", \"fly\", \"grasshopper\", \"ladybug\",\n \"millipede\", \"moth\", \"wasp\", \"anteater\", \"antelope\", \"armadillo\", \"badger\",\n \"bat\", \"beaver\", \"bull\", \"chimpanzee\", \"dachshund\", \"deer\", \"dolphin\", \"elk\",\n \"moose\", \"gazelle\", \"gerbil\", \"goat\", \"bear\", \"hamster\", \"hare\", \"hedgehog\",\n \"horse\", \"hyena\", \"lion\", \"llama\", \"lynx\", \"mammoth\", \"marmot\", \"mink\", \"mole\",\n \"mongoose\", \"mouse\", \"mule\", \"otter\", \"panda\", \"platypus\", \"pony\", \"porcupine\",\n \"puma\", \"raccoon\", \"reindeer\", \"rhino\", \"skunk\", \"sloth\", \"squirrel\", \"weasel\",\n \"snake\", \"wolf\", \"zebra\", \"boa\", \"chameleon\", \"copperhead\", \"cottonmouth\",\n \"crocodile\", \"rattlesnake\", \"gecko\", \"iguana\", \"lizard\", \"python\", \"salamander\",\n \"sidewinder\", \"whale\", \"tortoise\", \"lemur\", \"rook\", \"koala\", \"donkey\", \"ferret\",\n \"tardigrade\", \"orca\", \"okapi\", \"liger\", \"unicorn\", \"dragon\", \"squid\", \"ape\",\n \"gorilla\", \"baboon\", \"cormorant\", \"mantis\", \"tapir\", \"capybara\", \"pangolin\",\n \"opossum\", \"wombat\", \"aardvark\", \"starfish\", \"shetland\", \"narwhal\", \"worm\",\n \"hornet\", \"viper\", \"stallion\", \"jaguar\", \"panther\", \"bobcat\", \"leopard\",\n \"osprey\", \"cougar\", \"dalmatian\", \"terrier\", \"duck\", \"sealion\", \"chipmunk\",\n \"loris\", \"poodle\", \"orangutan\", \"gibbon\", \"meerkat\", \"huskie\", \"barracuda\",\n \"bison\", \"caribou\", \"chinchilla\", \"coyote\", \"crane\", \"dinosaur\", \"lark\",\n \"griffin\", \"yeti\", \"troll\", \"seahorse\", \"walrus\", \"yak\", \"wolverine\", \"boar\",\n \"alpaca\", \"porpoise\", \"manatee\", \"guppy\", \"condor\", \"cyborg\", \"cobra\", \"locust\",\n \"mandrill\", \"oyster\", \"urchin\", \"quail\", \"sardine\", \"ram\", \"starling\", \"wallaby\",\n \"buffalo\", \"goblin\", \"tuna\", \"mustang\",\n];\n\n// Compress bytes to target length using XOR (exact algorithm from library)\nfunction compress(bytes: number[], target: number): number[] {\n const length = bytes.length;\n const segSize = Math.floor(length / target);\n const segments: number[][] = [];\n\n for (let i = 0; i < segSize * target; i += segSize) {\n segments.push(bytes.slice(i, i + segSize));\n }\n\n // Add remaining bytes to last segment\n const lastSeg = segments[segments.length - 1];\n segments[segments.length - 1] = lastSeg.concat(bytes.slice(target * segSize));\n\n // XOR each segment to get checksums\n return segments.map(seg => seg.reduce((acc, curr) => acc ^ curr, 0));\n}\n\n// Convert hex string to byte array\nfunction hexToBytes(hex: string): number[] {\n const bytes: number[] = [];\n for (let i = 0; i < hex.length; i += 2) {\n bytes.push(parseInt(hex.substring(i, i + 2), 16));\n }\n return bytes;\n}\n\n// Generate animal name from input string (exact angry-purple-tiger algorithm)\nexport function animalHash(input: string): string {\n const hexDigest = md5(input);\n const bytes = hexToBytes(hexDigest);\n const compressed = compress(bytes, 3);\n\n const adjective = ADJECTIVES[compressed[0] % ADJECTIVES.length];\n const color = COLORS[compressed[1] % COLORS.length];\n const animal = ANIMALS[compressed[2] % ANIMALS.length];\n\n return `${adjective}-${color}-${animal}`;\n}\n","createdAt",["D",1769121995073],"branchVersion","branchId","0f63dbe2-f7d5-11f0-81ce-42dde27851f2","id","0f63583e-f7d5-11f0-81ce-42dde27851f2","dc-hotspot-map",["D",1769115490645],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Map tracking Helium Hotspot growth around Washington 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DC Hotspot Growth Map - Main HTTP Server\nimport { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { Hono } from \"npm:hono\";\nimport * as db from \"./backend/db.ts\";\nimport { runBackfill, runDailyScrape } from \"./backend/scraper.ts\";\n\nconst app = new Hono();\n\n// Initialize database on startup\ndb.initDatabase().catch(console.error);\n\n// Serve index.html at the root\napp.get(\"/\", () => serveFile(\"/frontend/index.html\"));\n\n// Serve all frontend files\napp.get(\"/frontend/**/*\", (c) => serveFile(c.req.path));\n\n// API: Get all hotspots\napp.get(\"/api/hotspots\", async (c) => {\n try {\n const hotspots = await db.getAllHotspots();\n return c.json(hotspots);\n } catch (e) {\n console.error(\"Error fetching Hotspots:\", e);\n return c.json({ error: \"Failed to fetch Hotspots\" }, 500);\n }\n});\n\n// API: Get all daily snapshots\napp.get(\"/api/snapshots\", async (c) => {\n try {\n const snapshots = await db.getAllSnapshots();\n return c.json(snapshots);\n } catch (e) {\n console.error(\"Error fetching snapshots:\", e);\n return c.json({ error: \"Failed to fetch snapshots\" }, 500);\n }\n});\n\n// API: Get hotspot count\napp.get(\"/api/stats\", async (c) => {\n try {\n const count = await db.getHotspotCount();\n const snapshots = await db.getAllSnapshots();\n const latest = snapshots.length > 0 ? snapshots[snapshots.length - 1] : null;\n return c.json({\n total: count,\n latest_snapshot: latest,\n });\n } catch (e) {\n console.error(\"Error fetching stats:\", e);\n return c.json({ error: \"Failed to fetch stats\" }, 500);\n }\n});\n\n// Admin API: Trigger backfill (protected - check for API key in production)\napp.post(\"/api/admin/backfill\", async (c) => {\n try {\n console.log(\"Starting backfill...\");\n const result = await runBackfill();\n return c.json(result);\n } catch (e) {\n console.error(\"Backfill error:\", e);\n return c.json({ error: String(e) }, 500);\n }\n});\n\n// Admin API: Trigger daily scrape\napp.post(\"/api/admin/scrape\", async (c) => {\n try {\n console.log(\"Starting daily scrape...\");\n const result = await runDailyScrape();\n return c.json(result);\n } catch (e) {\n console.error(\"Scrape error:\", e);\n return c.json({ error: String(e) }, 500);\n }\n});\n\n// Admin API: Compute historical snapshots from created_at dates\napp.post(\"/api/admin/compute-snapshots\", async (c) => {\n try {\n console.log(\"Computing historical snapshots...\");\n await db.computeHistoricalSnapshots();\n const snapshots = await db.getAllSnapshots();\n return c.json({ success: true, count: snapshots.length });\n } catch (e) {\n console.error(\"Compute snapshots error:\", e);\n return c.json({ error: String(e) }, 500);\n }\n});\n\n// Admin API: Clear all data and re-backfill\napp.post(\"/api/admin/clear-and-backfill\", async (c) => {\n try {\n console.log(\"Clearing database...\");\n await db.clearDatabase();\n console.log(\"Starting fresh backfill...\");\n const result = await runBackfill();\n return c.json(result);\n } catch (e) {\n console.error(\"Clear and backfill error:\", e);\n return c.json({ error: String(e) }, 500);\n }\n});\n\n// Unwrap and rethrow Hono errors as the original error\napp.onError((err) => Promise.reject(err));\n\n// HTTP vals expect an exported \"fetch handler\"\nexport default app.fetch;\n","label","dc-hotspot-growth",[137],"10469b94-f7d5-11f0-a6fb-42dde27851f2","README.md","10469c52-f7d5-11f0-a6fb-42dde27851f2",9,["D",1769115491998],0,"# React Hono Starter\n\nThis app is a starter template for client-side React and server-side Hono.\n\n## Getting started\n\nGet a copy of this starter template by clicking the **Remix** button in the\ntop-right.\n\n## How it works\n\n- The **entrypoint** is [`index.ts`](index.ts). That's the backend HTTP server,\n which also serves the all the frontend assets.\n\n- The **client-side entrypoint** is\n [`/frontend/index.html`](/frontend/index.html)\n - which in turn imports [`/frontend/index.tsx`](/frontend/index.tsx)\n - which in turn imports the React app from\n [`/frontend/components/App.tsx`](/frontend/components/App.tsx).\n\nSo if you wanted to get a sense of how this app comes together, we suggest\nreading the files in this order:\n\n[`index.ts`](index.ts) -> [`/frontend/index.html`](/frontend/index.html) ->\n[`/frontend/index.tsx`](/frontend/index.tsx) ->\n[`/frontend/components/App.tsx`](/frontend/components/App.tsx)\n\n## Further resources\n\n- [React Hono Example](https://www.val.town/x/stevekrouse/reactHonoExample) is a\n bigger example project, with a SQLite database table, queries, client-side\n CSS, a favicon, and shared code that runs on both client and server.",[149],"e7310914-f7d5-11f0-8149-42dde27851f2","shared","e73109f0-f7d5-11f0-8149-42dde27851f2",12,["D",1769115852719],"directory",[157],"0fd734b6-f7d5-11f0-8b85-42dde27851f2","frontend","0fd73556-f7d5-11f0-8b85-42dde27851f2",["D",1769115491425],[164],"e70fa13e-f7d5-11f0-8269-42dde27851f2","backend","e70fa206-f7d5-11f0-8269-42dde27851f2",11,["D",1769115852504],[169],"pulls","branches","forks","envVars",{"_181":153,"_183":153},"connections",{"_181":153,"_182":153},"count","unfilledCount","emptyCount",{"_44":168,"_32":169,"_30":170,"_138":-5,"_42":43,"_41":171,"_140":60,"_39":305,"_13":153,"_34":161,"_36":-5,"_24":25,"_145":-5,"_202":306,"_27":307},{"_44":297,"_32":298,"_30":299,"_138":170,"_42":43,"_41":300,"_140":25,"_39":301,"_13":142,"_34":35,"_36":302,"_24":25,"_145":-5,"_202":303,"_27":304},{"_44":289,"_32":290,"_30":291,"_138":170,"_42":43,"_41":292,"_140":60,"_39":293,"_13":64,"_34":35,"_36":294,"_24":25,"_145":-5,"_202":295,"_27":296},{"_44":281,"_32":282,"_30":283,"_138":170,"_42":43,"_41":284,"_140":60,"_39":285,"_13":224,"_34":35,"_36":286,"_24":25,"_145":-5,"_202":287,"_27":288},{"_44":163,"_32":164,"_30":165,"_138":-5,"_42":43,"_41":64,"_140":60,"_39":278,"_13":153,"_34":161,"_36":-5,"_24":25,"_145":-5,"_202":279,"_27":280},{"_44":273,"_32":272,"_30":266,"_138":165,"_42":43,"_41":274,"_140":60,"_39":275,"_13":153,"_34":161,"_36":-5,"_24":25,"_145":-5,"_202":276,"_27":277},{"_44":263,"_32":264,"_30":265,"_138":266,"_42":43,"_41":267,"_140":25,"_39":268,"_13":171,"_34":35,"_36":269,"_24":25,"_145":-5,"_202":270,"_27":271},{"_44":258,"_32":257,"_30":253,"_138":165,"_42":43,"_41":259,"_140":60,"_39":260,"_13":153,"_34":161,"_36":-5,"_24":25,"_145":-5,"_202":261,"_27":262},{"_44":252,"_32":33,"_30":31,"_138":253,"_42":43,"_41":14,"_140":60,"_39":254,"_13":224,"_34":35,"_36":38,"_24":25,"_145":-5,"_202":255,"_27":256},{"_44":244,"_32":245,"_30":246,"_138":165,"_42":43,"_41":247,"_140":60,"_39":248,"_13":153,"_34":20,"_36":249,"_24":25,"_145":-5,"_202":250,"_27":251},{"_44":236,"_32":237,"_30":238,"_138":165,"_42":43,"_41":239,"_140":25,"_39":240,"_13":64,"_34":20,"_36":241,"_24":25,"_145":-5,"_202":242,"_27":243},{"_44":228,"_32":229,"_30":230,"_138":165,"_42":43,"_41":231,"_140":60,"_39":232,"_13":153,"_34":35,"_36":233,"_24":25,"_145":-5,"_202":234,"_27":235},{"_44":219,"_32":220,"_30":221,"_138":165,"_42":43,"_41":222,"_140":25,"_39":223,"_13":224,"_34":20,"_36":225,"_24":25,"_145":-5,"_202":226,"_27":227},{"_44":156,"_32":157,"_30":158,"_138":-5,"_42":43,"_41":159,"_140":60,"_39":216,"_13":153,"_34":161,"_36":-5,"_24":25,"_145":-5,"_202":217,"_27":218},{"_44":208,"_32":209,"_30":210,"_138":158,"_42":43,"_41":211,"_140":60,"_39":212,"_13":153,"_34":35,"_36":213,"_24":25,"_145":-5,"_202":214,"_27":215},{"_44":148,"_32":149,"_30":150,"_138":-5,"_42":43,"_41":151,"_140":25,"_39":205,"_13":153,"_34":20,"_36":154,"_24":25,"_145":-5,"_202":206,"_27":207},{"_44":136,"_32":137,"_30":58,"_138":-5,"_42":43,"_41":139,"_140":25,"_39":201,"_13":142,"_34":143,"_36":144,"_24":25,"_145":146,"_202":203,"_27":204},["D",1769120860964],"children",[],[137],["D",1769115491998],[],[149],"e75fb62e-f7d5-11f0-900b-42dde27851f2","types.ts","e75fb6ec-f7d5-11f0-900b-42dde27851f2",14,["D",1769115853001],"// Shared TypeScript interfaces for DC Hotspot Growth Map\n\nexport interface Hotspot {\n entity_key_str: string;\n key_to_asset_key: string;\n lat: number;\n long: number;\n created_at: string; // ISO date string\n first_seen_at: string;\n is_active: boolean;\n}\n\nexport interface DailySnapshot {\n snapshot_date: string; // YYYY-MM-DD\n total_count: number;\n new_count: number;\n}\n\nexport interface HeliumHotspotListItem {\n key_to_asset_key: string;\n entity_key_str: string;\n is_active: boolean;\n lat: number | null;\n long: number | null;\n}\n\nexport interface HeliumApiResponse {\n cursor: string | null;\n items: HeliumHotspotListItem[];\n}\n\n// DC Metro bounding box (~50 mile radius from center)\nexport const DC_BOUNDS = {\n minLat: 38.5,\n maxLat: 39.3,\n minLong: -77.5,\n maxLong: -76.7,\n};\n\nexport const DC_CENTER = {\n lat: 38.9072,\n long: -77.0369,\n};\n\nexport const HELIUM_API_BASE = \"https://entities.nft.helium.io/v2\";\n",[],[157,209],["D",1769115852719],[198],[157],"d55f4136-f7dc-11f0-bd37-42dde27851f2","style.css","1010cadc-f7d5-11f0-913f-42dde27851f2",32,["D",1769118829301],3,"/* DC Hotspot Growth Map - Helium-inspired dark theme */\n\n:root {\n --bg-primary: #04081b;\n --bg-secondary: rgba(255, 255, 255, 0.05);\n --bg-card: rgba(255, 255, 255, 0.08);\n --text-primary: #f7f7f7;\n --text-secondary: #7d7d7d;\n --accent-cyan: #4FC3F7;\n --accent-green: #00d97d;\n --accent-purple: #5e25fd;\n --border-color: rgba(255, 255, 255, 0.1);\n}\n\n* {\n box-sizing: border-box;\n margin: 0;\n padding: 0;\n}\n\nhtml, body, #root {\n height: 100%;\n width: 100%;\n overflow: hidden;\n}\n\nbody {\n font-family: 'Figtree', -apple-system, BlinkMacSystemFont, sans-serif;\n background: var(--bg-primary);\n color: var(--text-primary);\n}\n\n.app {\n display: flex;\n flex-direction: column;\n height: 100vh;\n width: 100vw;\n position: relative;\n}\n\n/* Stats Panel */\n.stats-panel {\n position: absolute;\n top: 20px;\n left: 20px;\n z-index: 1000;\n background: var(--bg-card);\n backdrop-filter: blur(15px);\n border: 1px solid var(--border-color);\n border-radius: 16px;\n padding: 24px;\n min-width: 280px;\n}\n\n.stats-panel h1 {\n font-size: 24px;\n font-weight: 700;\n margin-bottom: 8px;\n color: var(--accent-cyan);\n}\n\n.stats-panel .tagline {\n font-size: 13px;\n color: var(--text-secondary);\n margin-bottom: 24px;\n}\n\n.stat-card {\n background: var(--bg-secondary);\n border-radius: 12px;\n padding: 16px;\n margin-bottom: 12px;\n}\n\n.stat-label {\n font-size: 11px;\n text-transform: uppercase;\n letter-spacing: 0.07em;\n color: var(--text-secondary);\n margin-bottom: 4px;\n}\n\n.stat-value {\n font-size: 48px;\n font-weight: 700;\n line-height: 1;\n color: var(--text-primary);\n}\n\n.stat-delta {\n font-size: 14px;\n font-weight: 600;\n color: var(--accent-green);\n margin-top: 8px;\n transition: opacity 0.2s;\n}\n\n.stat-delta.hidden {\n opacity: 0;\n}\n\n.stat-delta.negative {\n color: #e74c3c;\n}\n\n.current-date {\n font-size: 14px;\n color: var(--text-secondary);\n margin-top: 16px;\n padding-top: 16px;\n border-top: 1px solid var(--border-color);\n}\n\n.current-date strong {\n color: var(--text-primary);\n}\n\n/* Map Container */\n.map-container {\n flex: 1;\n position: relative;\n width: 100%;\n height: 100%;\n}\n\n/* Timeline */\n.timeline {\n position: absolute;\n bottom: 0;\n left: 0;\n right: 0;\n z-index: 1000;\n background: rgba(4, 8, 27, 0.95);\n padding: 20px;\n}\n\n.timeline-inner {\n display: flex;\n align-items: center;\n gap: 16px;\n max-width: 1200px;\n margin: 0 auto;\n}\n\n.play-button {\n width: 48px;\n height: 48px;\n border-radius: 50%;\n background: var(--accent-cyan);\n border: none;\n cursor: pointer;\n display: flex;\n align-items: center;\n justify-content: center;\n font-size: 20px;\n color: var(--bg-primary);\n transition: transform 0.2s, background 0.2s;\n flex-shrink: 0;\n}\n\n.play-button:hover {\n transform: scale(1.05);\n background: #6dd5fa;\n}\n\n.timeline-slider-container {\n flex: 1;\n display: flex;\n flex-direction: column;\n gap: 8px;\n}\n\n.timeline-slider {\n -webkit-appearance: none;\n appearance: none;\n width: 100%;\n height: 6px;\n background: rgba(255, 255, 255, 0.2);\n border-radius: 3px;\n cursor: pointer;\n}\n\n.timeline-slider::-webkit-slider-thumb {\n -webkit-appearance: none;\n appearance: none;\n width: 18px;\n height: 18px;\n border-radius: 50%;\n background: var(--accent-cyan);\n cursor: pointer;\n box-shadow: 0 2px 8px rgba(79, 195, 247, 0.4);\n transition: transform 0.2s;\n}\n\n.timeline-slider::-webkit-slider-thumb:hover {\n transform: scale(1.2);\n}\n\n.timeline-labels {\n display: flex;\n justify-content: space-between;\n font-size: 12px;\n color: var(--text-secondary);\n}\n\n/* Loading State */\n.loading {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n height: 100vh;\n gap: 16px;\n}\n\n.loading-spinner {\n width: 48px;\n height: 48px;\n border: 3px solid var(--border-color);\n border-top-color: var(--accent-cyan);\n border-radius: 50%;\n animation: spin 1s linear infinite;\n}\n\n@keyframes spin {\n to { transform: rotate(360deg); }\n}\n\n.loading-text {\n font-size: 16px;\n color: var(--text-secondary);\n}\n\n/* Empty State */\n.empty-state {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n height: 100vh;\n text-align: center;\n padding: 20px;\n}\n\n.empty-state h2 {\n font-size: 24px;\n margin-bottom: 16px;\n}\n\n.empty-state p {\n color: var(--text-secondary);\n margin-bottom: 24px;\n max-width: 400px;\n}\n\n.backfill-button {\n background: var(--accent-purple);\n color: white;\n border: none;\n padding: 12px 24px;\n border-radius: 8px;\n font-size: 16px;\n font-weight: 600;\n cursor: pointer;\n transition: background 0.2s;\n}\n\n.backfill-button:hover {\n background: #7b3ff2;\n}\n\n.backfill-button:disabled {\n background: var(--text-secondary);\n cursor: not-allowed;\n}\n\n/* Leaflet Popup Styling */\n.leaflet-popup-content-wrapper {\n background: rgba(4, 8, 27, 0.95) !important;\n backdrop-filter: blur(15px);\n border: 1px solid var(--border-color) !important;\n border-radius: 8px !important;\n color: var(--text-primary) !important;\n font-family: 'Figtree', sans-serif !important;\n}\n\n.leaflet-popup-content {\n margin: 12px !important;\n}\n\n.leaflet-popup-tip {\n background: rgba(4, 8, 27, 0.95) !important;\n}\n\n.hotspot-popup {\n font-size: 13px;\n line-height: 1.5;\n}\n\n.hotspot-popup a {\n color: var(--accent-cyan);\n text-decoration: none;\n font-weight: 600;\n}\n\n.hotspot-popup a:hover {\n text-decoration: underline;\n}\n\n.hotspot-popup .created-date {\n color: var(--text-secondary);\n font-size: 12px;\n margin-top: 4px;\n}\n\n/* Legend */\n.legend {\n position: absolute;\n bottom: 100px;\n right: 20px;\n z-index: 1000;\n background: var(--bg-card);\n backdrop-filter: blur(15px);\n border: 1px solid var(--border-color);\n border-radius: 12px;\n padding: 16px;\n}\n\n.legend-title {\n font-size: 12px;\n text-transform: uppercase;\n letter-spacing: 0.07em;\n color: var(--text-secondary);\n margin-bottom: 12px;\n}\n\n.legend-item {\n display: flex;\n align-items: center;\n gap: 8px;\n font-size: 13px;\n margin-bottom: 8px;\n}\n\n.legend-item:last-child {\n margin-bottom: 0;\n}\n\n.legend-dot {\n width: 12px;\n height: 12px;\n border-radius: 50%;\n}\n\n.legend-dot.new {\n background: #2ecc71;\n}\n\n.legend-dot.recent {\n background: #3498db;\n}\n\n.legend-dot.established {\n background: #9b59b6;\n}\n\n/* Responsive */\n@media (max-width: 768px) {\n .stats-panel {\n top: 10px;\n left: 10px;\n right: 10px;\n min-width: auto;\n padding: 16px;\n }\n\n .stat-value {\n font-size: 36px;\n }\n\n .legend {\n display: none;\n }\n}\n",[],[164,220],"101773a0-f7d5-11f0-800a-42dde27851f2","index.tsx","1017744a-f7d5-11f0-800a-42dde27851f2",4,["D",1769115491804],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { App } from \"./components/App.tsx\";\n\nconst root = document.getElementById(\"root\");\nif (!root) {\n throw new Error(\"No root element found\");\n}\n\ncreateRoot(root).render();",[],[164,229],"e76cf65e-f7d5-11f0-a744-42dde27851f2","index.html","10239040-f7d5-11f0-b4d4-42dde27851f2",15,["D",1769115853001],"\n\n \n \n \n DC Helium Mobile Hotspot Growth\n \n \n \n \n \n \n \n

\n \n \n \n\n",[],[164,237],"10309f92-f7d5-11f0-be9d-42dde27851f2","favicon.svg","1030a050-f7d5-11f0-be9d-42dde27851f2",7,["D",1769115492011],"\n",[],[164,245],"34515420-f7e4-11f0-a6f6-42dde27851f2","f4aa6a42-f7e2-11f0-94ff-42dde27851f2",["D",1769121995073],[],[164,257,33],"utils","f4aa697a-f7e2-11f0-94ff-42dde27851f2",41,["D",1769121458791],[192],[164,257],"90a5ba50-f7e3-11f0-afbf-42dde27851f2","App.tsx","102e094e-f7d5-11f0-88c4-42dde27851f2","0ff6303c-f7d5-11f0-9712-42dde27851f2",48,["D",1769121720430],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useState, useEffect, useMemo, useCallback, useRef } from \"https://esm.sh/react@18.2.0\";\nimport { animalHash } from \"../utils/animalHash.ts\";\n\n// Types\ninterface Hotspot {\n entity_key_str: string;\n lat: number;\n long: number;\n created_at: string;\n first_seen_at: string;\n}\n\ninterface DailySnapshot {\n snapshot_date: string;\n total_count: number;\n new_count: number;\n}\n\nconst DC_CENTER = { lat: 38.9072, lng: -77.0369 };\n\n// Calculate days between two dates\nfunction daysBetween(date1: string, date2: string): number {\n const d1 = new Date(date1);\n const d2 = new Date(date2);\n return Math.floor((d2.getTime() - d1.getTime()) / (1000 * 60 * 60 * 24));\n}\n\n// Get color based on hotspot age\nfunction getHotspotColor(createdAt: string, selectedDate: string): string {\n const age = daysBetween(createdAt, selectedDate);\n if (age < 7) return \"#2ecc71\"; // Green - new\n if (age < 30) return \"#3498db\"; // Blue - recent\n return \"#9b59b6\"; // Purple - established (30+ days)\n}\n\nexport function App() {\n const [hotspots, setHotspots] = useState([]);\n const [snapshots, setSnapshots] = useState([]);\n const [selectedDate, setSelectedDate] = useState(new Date().toISOString().split(\"T\")[0]);\n const [isPlaying, setIsPlaying] = useState(false);\n const [loading, setLoading] = useState(true);\n const [backfilling, setBackfilling] = useState(false);\n const [error, setError] = useState(null);\n const mapRef = useRef(null);\n const mapInstanceRef = useRef(null);\n const markersRef = useRef([]);\n\n // Track if Leaflet is loaded\n const [leafletLoaded, setLeafletLoaded] = useState(false);\n\n // Load Leaflet script once\n useEffect(() => {\n if (!document.getElementById(\"leaflet-css\")) {\n const link = document.createElement(\"link\");\n link.id = \"leaflet-css\";\n link.rel = \"stylesheet\";\n link.href = \"https://unpkg.com/leaflet@1.9.4/dist/leaflet.css\";\n document.head.appendChild(link);\n }\n\n if ((window as any).L) {\n setLeafletLoaded(true);\n return;\n }\n\n const script = document.createElement(\"script\");\n script.src = \"https://unpkg.com/leaflet@1.9.4/dist/leaflet.js\";\n script.onload = () => setLeafletLoaded(true);\n document.body.appendChild(script);\n }, []);\n\n // Initialize map when Leaflet is loaded and we have the container\n useEffect(() => {\n if (!leafletLoaded || !mapRef.current || mapInstanceRef.current) return;\n\n const L = (window as any).L;\n const map = L.map(mapRef.current).setView([DC_CENTER.lat, DC_CENTER.lng], 12);\n\n L.tileLayer(\"https://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}{r}.png\", {\n attribution: \"© OpenStreetMap, © CARTO\",\n maxZoom: 19,\n }).addTo(map);\n\n mapInstanceRef.current = map;\n\n // Force a resize after a short delay\n setTimeout(() => map.invalidateSize(), 100);\n\n return () => {\n if (mapInstanceRef.current) {\n mapInstanceRef.current.remove();\n mapInstanceRef.current = null;\n }\n };\n }, [leafletLoaded, hotspots.length]);\n\n // Load data on mount\n useEffect(() => {\n async function loadData() {\n try {\n const [hotspotsRes, snapshotsRes] = await Promise.all([\n fetch(\"/api/hotspots\"),\n fetch(\"/api/snapshots\"),\n ]);\n\n if (!hotspotsRes.ok || !snapshotsRes.ok) {\n throw new Error(\"Failed to fetch data\");\n }\n\n const hotspotsData = await hotspotsRes.json();\n const snapshotsData = await snapshotsRes.json();\n\n setHotspots(hotspotsData);\n setSnapshots(snapshotsData);\n\n // Set initial date to latest snapshot or today\n if (snapshotsData.length > 0) {\n setSelectedDate(snapshotsData[snapshotsData.length - 1].snapshot_date);\n }\n } catch (e) {\n console.error(\"Error loading data:\", e);\n setError(String(e));\n } finally {\n setLoading(false);\n }\n }\n loadData();\n }, []);\n\n // Filter hotspots for selected date\n const visibleHotspots = useMemo(() => {\n return hotspots.filter(h => h.created_at <= selectedDate);\n }, [hotspots, selectedDate]);\n\n // Update markers when visible hotspots change\n useEffect(() => {\n const L = (window as any).L;\n if (!mapInstanceRef.current || !L) return;\n\n // Clear existing markers\n markersRef.current.forEach(marker => marker.remove());\n markersRef.current = [];\n\n // Add new markers\n visibleHotspots.forEach(hotspot => {\n const color = getHotspotColor(hotspot.created_at, selectedDate);\n const name = animalHash(hotspot.entity_key_str);\n const worldUrl = `https://world.helium.com/en/network/mobile/hotspot/${hotspot.entity_key_str}`;\n\n const marker = L.circleMarker([hotspot.lat, hotspot.long], {\n radius: 6,\n fillColor: color,\n color: \"#fff\",\n weight: 1,\n opacity: 0.8,\n fillOpacity: 0.8,\n });\n\n marker.bindPopup(`\n \n `);\n\n marker.addTo(mapInstanceRef.current);\n markersRef.current.push(marker);\n });\n }, [visibleHotspots, selectedDate]);\n\n // Get stats for selected date\n const currentStats = useMemo(() => {\n const snapshot = snapshots.find(s => s.snapshot_date === selectedDate);\n return snapshot || { total_count: visibleHotspots.length, new_count: 0 };\n }, [snapshots, selectedDate, visibleHotspots]);\n\n // Timeline playback\n useEffect(() => {\n if (!isPlaying || snapshots.length === 0) return;\n\n const interval = setInterval(() => {\n setSelectedDate(prev => {\n const currentIdx = snapshots.findIndex(s => s.snapshot_date === prev);\n if (currentIdx === -1 || currentIdx >= snapshots.length - 1) {\n setIsPlaying(false);\n return prev;\n }\n return snapshots[currentIdx + 1].snapshot_date;\n });\n }, 200); // 5 frames per second\n\n return () => clearInterval(interval);\n }, [isPlaying, snapshots]);\n\n // Handle slider change\n const handleSliderChange = useCallback((e: React.ChangeEvent) => {\n const idx = parseInt(e.target.value, 10);\n if (snapshots[idx]) {\n setSelectedDate(snapshots[idx].snapshot_date);\n }\n }, [snapshots]);\n\n // Handle backfill\n const handleBackfill = async () => {\n setBackfilling(true);\n try {\n const res = await fetch(\"/api/admin/backfill\", { method: \"POST\" });\n if (!res.ok) throw new Error(\"Backfill failed\");\n // Reload data\n window.location.reload();\n } catch (e) {\n setError(String(e));\n } finally {\n setBackfilling(false);\n }\n };\n\n if (loading) {\n return (\n

Loading Hotspot data...

\n );\n }\n\n if (hotspots.length === 0) {\n return (\n

No Hotspot Data

\n No Hotspots have been loaded yet. Click the button below to fetch\n DC area Hotspots from the Helium API.\n

\n \n {backfilling ? \"Loading Hotspots...\" : \"Load DC Hotspots\"}\n \n {error &&

{error}

}\n

\n );\n }\n\n const currentIdx = snapshots.findIndex(s => s.snapshot_date === selectedDate);\n const minDate = snapshots.length > 0 ? snapshots[0].snapshot_date : selectedDate;\n const maxDate = snapshots.length > 0 ? snapshots[snapshots.length - 1].snapshot_date : selectedDate;\n\n return (\n

\n {/* Stats Panel */}\n

DC Hotspot Growth

Helium Mobile Hotspots in the DC Metro area

\n\n

Total Hotspots

{currentStats.total_count.toLocaleString()}

\n +{currentStats.new_count} new\n

\n\n

\n Showing: {selectedDate}\n

\n\n {/* Legend */}\n

Hotspot Age

\n New (< 7 days)\n

\n Recent (< 30 days)\n

\n Established (30+ days)\n

\n\n {/* Map */}\n

\n\n {/* Timeline */}\n {snapshots.length > 0 && (\n

\n setIsPlaying(!isPlaying)}\n aria-label={isPlaying ? \"Pause\" : \"Play\"}\n >\n {isPlaying ? \"⏸\" : \"▶\"}\n \n\n

\n = 0 ? currentIdx : 0}\n onChange={handleSliderChange}\n />\n

\n {minDate}\n {maxDate}\n

\n )}\n

\n );\n}\n",[],[164,272,264],"components","0ff62f6a-f7d5-11f0-9712-42dde27851f2",2,["D",1769115491600],[190],[164,272],["D",1769115491425],[189,191,193,194,195,196],[164],"f4c69ab4-f7e2-11f0-94ff-42dde27851f2","scraper.ts","e78c46bc-f7d5-11f0-858d-42dde27851f2",42,["D",1769121458973],"// Backfill and daily scraper for DC Hotspot Growth Map\nimport * as db from \"./db.ts\";\nimport * as helium from \"./heliumApi.ts\";\n\ninterface BackfillResult {\n processed: number;\n dcHotspots: number;\n newHotspots: number;\n skipped: number;\n errors: number;\n}\n\n// Run incremental backfill - only adds hotspots not already in database\nexport async function runBackfill(): Promise {\n await db.initDatabase();\n\n const result: BackfillResult = {\n processed: 0,\n dcHotspots: 0,\n newHotspots: 0,\n skipped: 0,\n errors: 0,\n };\n\n const today = new Date().toISOString().split(\"T\")[0];\n\n console.log(\"Starting incremental backfill of DC area Hotspots...\");\n\n // Get existing hotspots to skip\n const existing = await db.getAllHotspots();\n const existingKeys = new Set(existing.map(h => h.entity_key_str));\n console.log(`Found ${existingKeys.size} existing Hotspots in database`);\n\n // Fetch all DC hotspots\n const dcHotspots = await helium.fetchAllDCHotspots((processed, dcCount, cursor) => {\n if (processed % 1000 === 0) {\n console.log(`Processed ${processed} Hotspots, found ${dcCount} in DC area`);\n }\n result.processed = processed;\n });\n\n result.dcHotspots = dcHotspots.length;\n console.log(`Found ${dcHotspots.length} Hotspots in DC area. Fetching details for new ones...`);\n\n // Insert each new DC hotspot\n for (const hotspot of dcHotspots) {\n // Skip if already exists\n if (existingKeys.has(hotspot.entity_key_str)) {\n result.skipped++;\n continue;\n }\n\n try {\n // Try to get created_at from individual endpoint\n let created_at = today;\n try {\n const details = await helium.fetchHotspotDetails(hotspot.key_to_asset_key);\n if (details.created_at) {\n created_at = details.created_at.split(\"T\")[0]; // Extract date part\n }\n } catch (e) {\n // Use today as fallback\n }\n\n await db.upsertHotspot({\n entity_key_str: hotspot.entity_key_str,\n key_to_asset_key: hotspot.key_to_asset_key,\n lat: hotspot.lat!,\n long: hotspot.long!,\n created_at,\n first_seen_at: today,\n is_active: true,\n });\n\n result.newHotspots++;\n\n // Reduced rate limit for faster processing\n await helium.sleep(25);\n\n if (result.newHotspots % 50 === 0) {\n console.log(`Inserted ${result.newHotspots} new DC Hotspots`);\n }\n } catch (e) {\n console.error(`Error processing Hotspot ${hotspot.entity_key_str}:`, e);\n result.errors++;\n }\n }\n\n // Compute historical snapshots if we added new hotspots\n if (result.newHotspots > 0) {\n console.log(\"Computing historical snapshots...\");\n await db.computeHistoricalSnapshots();\n }\n\n console.log(`Backfill complete: ${result.newHotspots} new Hotspots, ${result.skipped} skipped, ${result.errors} errors`);\n return result;\n}\n\n// Run daily incremental scrape\nexport async function runDailyScrape(): Promise<{\n newHotspots: number;\n updated: number;\n removed: number;\n}> {\n await db.initDatabase();\n\n const today = new Date().toISOString().split(\"T\")[0];\n const stats = { newHotspots: 0, updated: 0, removed: 0 };\n\n console.log(`Starting daily scrape for ${today}...`);\n\n // Get existing hotspots for comparison\n const existing = await db.getAllHotspots();\n const existingMap = new Map(existing.map(h => [h.entity_key_str, h]));\n const seenKeys = new Set();\n\n // Fetch all DC hotspots\n const dcHotspots = await helium.fetchAllDCHotspots();\n\n for (const hotspot of dcHotspots) {\n if (!hotspot.lat || !hotspot.long) continue;\n\n seenKeys.add(hotspot.entity_key_str);\n const existingHotspot = existingMap.get(hotspot.entity_key_str);\n\n if (!existingHotspot) {\n // New hotspot\n let created_at = today;\n try {\n const details = await helium.fetchHotspotDetails(hotspot.key_to_asset_key);\n if (details.created_at) {\n created_at = details.created_at.split(\"T\")[0];\n }\n } catch (e) {\n // Use today as fallback\n }\n\n await db.upsertHotspot({\n entity_key_str: hotspot.entity_key_str,\n key_to_asset_key: hotspot.key_to_asset_key,\n lat: hotspot.lat,\n long: hotspot.long,\n created_at,\n first_seen_at: today,\n is_active: true,\n });\n\n stats.newHotspots++;\n await helium.sleep(25);\n } else {\n // Check for location change\n const threshold = 0.0001; // ~11 meters\n if (\n Math.abs(existingHotspot.lat - hotspot.lat) > threshold ||\n Math.abs(existingHotspot.long - hotspot.long) > threshold\n ) {\n await db.recordLocationChange(hotspot.entity_key_str, hotspot.lat, hotspot.long, today);\n await db.upsertHotspot({\n ...existingHotspot,\n lat: hotspot.lat,\n long: hotspot.long,\n });\n stats.updated++;\n }\n }\n }\n\n // Compute historical snapshots to update with any new dates\n await db.computeHistoricalSnapshots();\n\n // Create daily snapshot\n const totalCount = await db.getHotspotCount();\n await db.upsertSnapshot({\n snapshot_date: today,\n total_count: totalCount,\n new_count: stats.newHotspots,\n });\n\n console.log(`Daily scrape complete: ${stats.newHotspots} new, ${stats.updated} updated`);\n return stats;\n}\n",[],[169,282],"0ff3587c-f7d9-11f0-b918-42dde27851f2","heliumApi.ts","e7738db6-f7d5-11f0-b958-42dde27851f2",28,["D",1769117209587],"// Helium Entity API client\nimport { HELIUM_API_BASE, DC_BOUNDS, type HeliumApiResponse, type HeliumHotspotListItem } from \"../shared/types.ts\";\n\nconst RATE_LIMIT_MS = 100; // 10 requests per second max\n\n// Fetch paginated mobile hotspots\nexport async function fetchMobileHotspots(cursor?: string | null): Promise {\n const url = new URL(`${HELIUM_API_BASE}/hotspots`);\n url.searchParams.set(\"subnetwork\", \"mobile\");\n if (cursor) {\n url.searchParams.set(\"cursor\", cursor);\n }\n\n const response = await fetch(url.toString());\n if (!response.ok) {\n throw new Error(`Helium API error: ${response.status} ${response.statusText}`);\n }\n\n return response.json();\n}\n\n// Fetch individual hotspot details\nexport async function fetchHotspotDetails(keyToAssetKey: string): Promise<{ created_at?: string; info?: any }> {\n const url = `${HELIUM_API_BASE}/hotspot/${keyToAssetKey}`;\n\n const response = await fetch(url);\n if (!response.ok) {\n if (response.status === 404) {\n return {}; // Hotspot details not available\n }\n throw new Error(`Helium API error: ${response.status}`);\n }\n\n const data = await response.json();\n\n // Extract created_at from hotspot_infos.mobile if available\n const mobileInfo = data.hotspot_infos?.mobile;\n if (mobileInfo?.created_at) {\n return { created_at: mobileInfo.created_at, info: data };\n }\n\n return { info: data };\n}\n\n// Check if coordinates are within DC Metro area\nexport function isInDCArea(lat: number | null, long: number | null): boolean {\n if (lat === null || long === null) return false;\n return (\n lat >= DC_BOUNDS.minLat &&\n lat <= DC_BOUNDS.maxLat &&\n long >= DC_BOUNDS.minLong &&\n long <= DC_BOUNDS.maxLong\n );\n}\n\n// Filter hotspots to DC area\nexport function filterDCHotspots(hotspots: HeliumHotspotListItem[]): HeliumHotspotListItem[] {\n return hotspots.filter(h => isInDCArea(h.lat, h.long));\n}\n\n// Sleep utility for rate limiting\nexport function sleep(ms: number): Promise {\n return new Promise(resolve => setTimeout(resolve, ms));\n}\n\n// Fetch all DC area hotspots with pagination\nexport async function fetchAllDCHotspots(\n onProgress?: (processed: number, dcCount: number, cursor: string | null) => void\n): Promise {\n const dcHotspots: HeliumHotspotListItem[] = [];\n let cursor: string | null = null;\n let processed = 0;\n\n while (true) {\n const response = await fetchMobileHotspots(cursor);\n\n for (const hotspot of response.items) {\n processed++;\n if (isInDCArea(hotspot.lat, hotspot.long)) {\n dcHotspots.push(hotspot);\n }\n }\n\n if (onProgress) {\n onProgress(processed, dcHotspots.length, response.cursor);\n }\n\n if (!response.cursor) break;\n cursor = response.cursor;\n\n // Rate limiting\n await sleep(RATE_LIMIT_MS);\n }\n\n return dcHotspots;\n}\n",[],[169,290],"0389740a-f7dd-11f0-9b45-42dde27851f2","db.ts","e75c8c60-f7d5-11f0-84f8-42dde27851f2",33,["D",1769118906735],"// Database schema and query functions for DC Hotspot Growth Map\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport type { Hotspot, DailySnapshot } from \"../shared/types.ts\";\n\n// Clear all data from database\nexport async function clearDatabase() {\n await sqlite.execute(`DELETE FROM hotspots`);\n await sqlite.execute(`DELETE FROM hotspot_locations`);\n await sqlite.execute(`DELETE FROM daily_snapshots`);\n}\n\n// Initialize database schema\nexport async function initDatabase() {\n // Hotspot records\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS hotspots (\n id INTEGER PRIMARY KEY,\n entity_key_str TEXT UNIQUE NOT NULL,\n key_to_asset_key TEXT NOT NULL,\n lat REAL NOT NULL,\n long REAL NOT NULL,\n created_at TEXT NOT NULL,\n first_seen_at TEXT NOT NULL,\n is_active INTEGER DEFAULT 1\n )\n `);\n\n // Location change history\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS hotspot_locations (\n id INTEGER PRIMARY KEY,\n entity_key_str TEXT NOT NULL,\n lat REAL NOT NULL,\n long REAL NOT NULL,\n observed_at TEXT NOT NULL\n )\n `);\n\n // Pre-computed daily stats\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS daily_snapshots (\n snapshot_date TEXT PRIMARY KEY,\n total_count INTEGER NOT NULL,\n new_count INTEGER NOT NULL\n )\n `);\n\n // Create indexes\n await sqlite.execute(`\n CREATE INDEX IF NOT EXISTS idx_hotspots_created ON hotspots(created_at)\n `);\n await sqlite.execute(`\n CREATE INDEX IF NOT EXISTS idx_snapshots_date ON daily_snapshots(snapshot_date)\n `);\n}\n\n// Get all active hotspots\nexport async function getAllHotspots(): Promise {\n const result = await sqlite.execute(`\n SELECT entity_key_str, key_to_asset_key, lat, long, created_at, first_seen_at, is_active\n FROM hotspots\n ORDER BY created_at ASC\n LIMIT 10000\n `);\n\n // Val Town SQLite returns rows as arrays, access by column index\n const columns = result.columns || [];\n return result.rows.map((row: any) => {\n // If row is an array, convert to object using column names\n if (Array.isArray(row)) {\n const obj: any = {};\n columns.forEach((col: string, i: number) => {\n obj[col] = row[i];\n });\n return {\n entity_key_str: obj.entity_key_str as string,\n key_to_asset_key: obj.key_to_asset_key as string,\n lat: obj.lat as number,\n long: obj.long as number,\n created_at: obj.created_at as string,\n first_seen_at: obj.first_seen_at as string,\n is_active: Boolean(obj.is_active),\n };\n }\n // Otherwise assume it's already an object\n return {\n entity_key_str: row.entity_key_str as string,\n key_to_asset_key: row.key_to_asset_key as string,\n lat: row.lat as number,\n long: row.long as number,\n created_at: row.created_at as string,\n first_seen_at: row.first_seen_at as string,\n is_active: Boolean(row.is_active),\n };\n });\n}\n\n// Get all daily snapshots\nexport async function getAllSnapshots(): Promise {\n const result = await sqlite.execute(`\n SELECT snapshot_date, total_count, new_count\n FROM daily_snapshots\n ORDER BY snapshot_date ASC\n `);\n\n // Val Town SQLite returns rows as arrays\n const columns = result.columns || [];\n return result.rows.map((row: any) => {\n if (Array.isArray(row)) {\n const obj: any = {};\n columns.forEach((col: string, i: number) => {\n obj[col] = row[i];\n });\n return {\n snapshot_date: obj.snapshot_date as string,\n total_count: obj.total_count as number,\n new_count: obj.new_count as number,\n };\n }\n return {\n snapshot_date: row.snapshot_date as string,\n total_count: row.total_count as number,\n new_count: row.new_count as number,\n };\n });\n}\n\n// Insert or update a hotspot\nexport async function upsertHotspot(hotspot: {\n entity_key_str: string;\n key_to_asset_key: string;\n lat: number;\n long: number;\n created_at: string;\n first_seen_at: string;\n is_active: boolean;\n}) {\n await sqlite.execute({\n sql: `\n INSERT INTO hotspots (entity_key_str, key_to_asset_key, lat, long, created_at, first_seen_at, is_active)\n VALUES (?, ?, ?, ?, ?, ?, ?)\n ON CONFLICT(entity_key_str) DO UPDATE SET\n lat = excluded.lat,\n long = excluded.long,\n is_active = excluded.is_active\n `,\n args: [\n hotspot.entity_key_str,\n hotspot.key_to_asset_key,\n hotspot.lat,\n hotspot.long,\n hotspot.created_at,\n hotspot.first_seen_at,\n hotspot.is_active ? 1 : 0,\n ],\n });\n}\n\n// Insert a daily snapshot\nexport async function upsertSnapshot(snapshot: DailySnapshot) {\n await sqlite.execute({\n sql: `\n INSERT INTO daily_snapshots (snapshot_date, total_count, new_count)\n VALUES (?, ?, ?)\n ON CONFLICT(snapshot_date) DO UPDATE SET\n total_count = excluded.total_count,\n new_count = excluded.new_count\n `,\n args: [snapshot.snapshot_date, snapshot.total_count, snapshot.new_count],\n });\n}\n\n// Get hotspot count\nexport async function getHotspotCount(): Promise {\n const result = await sqlite.execute(`SELECT COUNT(*) as count FROM hotspots WHERE is_active = 1`);\n const row = result.rows[0];\n return (Array.isArray(row) ? row[0] : row.count) as number;\n}\n\n// Check if a hotspot exists\nexport async function getHotspot(entity_key_str: string): Promise {\n const result = await sqlite.execute({\n sql: `SELECT * FROM hotspots WHERE entity_key_str = ?`,\n args: [entity_key_str],\n });\n\n if (result.rows.length === 0) return null;\n\n const row = result.rows[0];\n return {\n entity_key_str: row.entity_key_str as string,\n key_to_asset_key: row.key_to_asset_key as string,\n lat: row.lat as number,\n long: row.long as number,\n created_at: row.created_at as string,\n first_seen_at: row.first_seen_at as string,\n is_active: Boolean(row.is_active),\n };\n}\n\n// Record location change\nexport async function recordLocationChange(entity_key_str: string, lat: number, long: number, observed_at: string) {\n await sqlite.execute({\n sql: `INSERT INTO hotspot_locations (entity_key_str, lat, long, observed_at) VALUES (?, ?, ?, ?)`,\n args: [entity_key_str, lat, long, observed_at],\n });\n}\n\n// Compute historical snapshots from hotspot created_at dates\nexport async function computeHistoricalSnapshots() {\n // Get date range - Val Town SQLite returns arrays, so access by index\n const dateRange = await sqlite.execute(`\n SELECT MIN(DATE(created_at)) as min_date, MAX(DATE(created_at)) as max_date\n FROM hotspots\n `);\n\n // Access by index (0 = min_date, 1 = max_date)\n const row = dateRange.rows[0];\n const minDateStr = Array.isArray(row) ? row[0] : row.min_date;\n const maxDateStr = Array.isArray(row) ? row[1] : row.max_date;\n\n if (!minDateStr) return;\n\n const minDate = new Date(minDateStr as string);\n const maxDate = new Date(maxDateStr as string);\n\n // Compute snapshot for each day\n for (let d = new Date(minDate); d <= maxDate; d.setDate(d.getDate() + 1)) {\n const dateStr = d.toISOString().split('T')[0];\n\n const totalResult = await sqlite.execute({\n sql: `SELECT COUNT(*) as total FROM hotspots WHERE DATE(created_at) <= ?`,\n args: [dateStr],\n });\n\n const newResult = await sqlite.execute({\n sql: `SELECT COUNT(*) as new_count FROM hotspots WHERE DATE(created_at) = ?`,\n args: [dateStr],\n });\n\n // Access counts by index as well\n const totalRow = totalResult.rows[0];\n const newRow = newResult.rows[0];\n const total = Array.isArray(totalRow) ? totalRow[0] : totalRow.total;\n const newCount = Array.isArray(newRow) ? newRow[0] : newRow.new_count;\n\n await upsertSnapshot({\n snapshot_date: dateStr,\n total_count: total as number,\n new_count: newCount as number,\n });\n }\n}\n",[],[169,298],["D",1769115852504],[185,186,187],[169],["D",1769115490645],["D",1789542098478],{"_101":100,"_108":104},{"_101":100,"_102":-5,"_103":104,"_18":56,"_105":106,"_107":25},{"_13":90,"_32":91,"_44":43,"_92":45,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":-5,"_98":46,"_99":100},"ctx",{"_83":-5,"_128":346,"_347":348,"_349":350,"_351":25,"_352":25,"_353":25,"_354":60,"_355":-5,"_356":-7,"_357":-7,"_358":153,"_359":25,"_360":25,"_361":-5,"_362":25,"_363":25,"_364":25,"_365":-5},"ENV",{"_317":318,"_319":320,"_321":91,"_322":323,"_324":325,"_326":327,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341,"_342":343,"_344":345},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","5015b8df46402d8bba4f485ecc37aec202b0e06b","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v49