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Merge: Advanced Analytics Dashboard (Agent 7) - resolved conflicts

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Vinnie Esposito 2025-11-23 11:00:38 -06:00
commit 207e61b06c
36 changed files with 4802 additions and 328 deletions
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@ -5,31 +5,29 @@
"": {
"name": "localgreenchain",
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"sharp": "^0.34.5",
"recharts": "^3.4.1",
"socks-proxy-agent": "^8.0.2",
},
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@ -43,90 +41,6 @@
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"string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
@ -1343,8 +1217,6 @@
"string.prototype.trimstart": ["string.prototype.trimstart@1.0.8", "", { "dependencies": { "call-bind": "^1.0.7", "define-properties": "^1.2.1", "es-object-atoms": "^1.0.0" } }, "sha512-UXSH262CSZY1tfu3G3Secr6uGLCFVPMhIqHjlgCUtCCcgihYc/xKs9djMTMUOb2j1mVSeU8EU6NWc/iQKU6Gfg=="],
"string_decoder": ["string_decoder@1.3.0", "", { "dependencies": { "safe-buffer": "~5.2.0" } }, "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA=="],
"strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
"strip-bom": ["strip-bom@3.0.0", "", {}, "sha512-vavAMRXOgBVNF6nyEEmL3DBK19iRpDcoIwW+swQ+CbGiu7lju6t+JklA1MHweoWtadgt4ISVUsXLyDq34ddcwA=="],
@ -1353,8 +1225,6 @@
"strip-json-comments": ["strip-json-comments@3.1.1", "", {}, "sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig=="],
"strnum": ["strnum@2.1.1", "", {}, "sha512-7ZvoFTiCnGxBtDqJ//Cu6fWtZtc7Y3x+QOirG15wztbdngGSkht27o2pyGWrVy0b4WAy3jbKmnoK6g5VlVNUUw=="],
"style-to-js": ["style-to-js@1.1.1", "", { "dependencies": { "style-to-object": "0.3.0" } }, "sha512-RJ18Z9t2B02sYhZtfWKQq5uplVctgvjTfLWT7+Eb1zjUjIrWzX5SdlkwLGQozrqarTmEzJJ/YmdNJCUNI47elg=="],
"style-to-object": ["style-to-object@0.3.0", "", { "dependencies": { "inline-style-parser": "0.1.1" } }, "sha512-CzFnRRXhzWIdItT3OmF8SQfWyahHhjq3HwcMNCNLn+N7klOOqPjMeG/4JSu77D7ypZdGvSzvkrbyeTMizz2VrA=="],
@ -1377,6 +1247,8 @@
"thenify-all": ["thenify-all@1.6.0", "", { "dependencies": { "thenify": ">= 3.1.0 < 4" } }, "sha512-RNxQH/qI8/t3thXJDwcstUO4zeqo64+Uy/+sNVRBx4Xn2OX+OZ9oP+iJnNFqplFra2ZUVeKCSa2oVWi3T4uVmA=="],
"tiny-invariant": ["tiny-invariant@1.3.3", "", {}, "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg=="],
"tinyglobby": ["tinyglobby@0.2.15", "", { "dependencies": { "fdir": "^6.5.0", "picomatch": "^4.0.3" } }, "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ=="],
"tmpl": ["tmpl@1.0.5", "", {}, "sha512-3f0uOEAQwIqGuWW2MVzYg8fV/QNnc/IpuJNG837rLuczAaLVHslWHZQj4IGiEl5Hs3kkbhwL9Ab7Hrsmuj+Smw=="],
@ -1399,8 +1271,6 @@
"type-fest": ["type-fest@4.41.0", "", {}, "sha512-TeTSQ6H5YHvpqVwBRcnLDCBnDOHWYu7IvGbHT6N8AOymcr9PJGjc1GTtiWZTYg0NCgYwvnYWEkVChQAr9bjfwA=="],
"type-is": ["type-is@1.6.18", "", { "dependencies": { "media-typer": "0.3.0", "mime-types": "~2.1.24" } }, "sha512-TkRKr9sUTxEH8MdfuCSP7VizJyzRNMjj2J2do2Jr3Kym598JVdEksuzPQCnlFPW4ky9Q+iA+ma9BGm06XQBy8g=="],
"typed-array-buffer": ["typed-array-buffer@1.0.3", "", { "dependencies": { "call-bound": "^1.0.3", "es-errors": "^1.3.0", "is-typed-array": "^1.1.14" } }, "sha512-nAYYwfY3qnzX30IkA6AQZjVbtK6duGontcQm1WSG1MD94YLqK0515GNApXkoxKOWMusVssAHWLh9SeaoefYFGw=="],
"typed-array-byte-length": ["typed-array-byte-length@1.0.3", "", { "dependencies": { "call-bind": "^1.0.8", "for-each": "^0.3.3", "gopd": "^1.2.0", "has-proto": "^1.2.0", "is-typed-array": "^1.1.14" } }, "sha512-BaXgOuIxz8n8pIq3e7Atg/7s+DpiYrxn4vdot3w9KbnBhcRQq6o3xemQdIfynqSeXeDrF32x+WvfzmOjPiY9lg=="],
@ -1409,8 +1279,6 @@
"typed-array-length": ["typed-array-length@1.0.7", "", { "dependencies": { "call-bind": "^1.0.7", "for-each": "^0.3.3", "gopd": "^1.0.1", "is-typed-array": "^1.1.13", "possible-typed-array-names": "^1.0.0", "reflect.getprototypeof": "^1.0.6" } }, "sha512-3KS2b+kL7fsuk/eJZ7EQdnEmQoaho/r6KUef7hxvltNA5DR8NAUM+8wJMbJyZ4G9/7i3v5zPBIMN5aybAh2/Jg=="],
"typedarray": ["typedarray@0.0.6", "", {}, "sha512-/aCDEGatGvZ2BIk+HmLf4ifCJFwvKFNb9/JeZPMulfgFracn9QFcAf5GO8B/mweUjSoblS5In0cWhqpfs/5PQA=="],
"typescript": ["typescript@4.9.5", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-1FXk9E2Hm+QzZQ7z+McJiHL4NW1F2EzMu9Nq9i3zAaGqibafqYwCVU6WyWAuyQRRzOlxou8xZSyXLEN8oKj24g=="],
"uglify-js": ["uglify-js@3.19.3", "", { "bin": { "uglifyjs": "bin/uglifyjs" } }, "sha512-v3Xu+yuwBXisp6QYTcH4UbH+xYJXqnq2m/LtQVWKWzYc1iehYnLixoQDN9FH6/j9/oybfd6W9Ghwkl8+UMKTKQ=="],
@ -1427,6 +1295,8 @@
"v8-to-istanbul": ["v8-to-istanbul@9.3.0", "", { "dependencies": { "@jridgewell/trace-mapping": "^0.3.12", "@types/istanbul-lib-coverage": "^2.0.1", "convert-source-map": "^2.0.0" } }, "sha512-kiGUalWN+rgBJ/1OHZsBtU4rXZOfj/7rKQxULKlIzwzQSvMJUUNgPwJEEh7gU6xEVxC0ahoOBvN2YI8GH6FNgA=="],
"victory-vendor": ["victory-vendor@37.3.6", "", { "dependencies": { "@types/d3-array": "^3.0.3", "@types/d3-ease": "^3.0.0", "@types/d3-interpolate": "^3.0.1", "@types/d3-scale": "^4.0.2", "@types/d3-shape": "^3.1.0", "@types/d3-time": "^3.0.0", "@types/d3-timer": "^3.0.0", "d3-array": "^3.1.6", "d3-ease": "^3.0.1", "d3-interpolate": "^3.0.1", "d3-scale": "^4.0.2", "d3-shape": "^3.1.0", "d3-time": "^3.0.0", "d3-timer": "^3.0.1" } }, "sha512-SbPDPdDBYp+5MJHhBCAyI7wKM3d5ivekigc2Dk2s7pgbZ9wIgIBYGVw4zGHBml/qTFbexrofXW6Gu4noGxrOwQ=="],
"walker": ["walker@1.0.8", "", { "dependencies": { "makeerror": "1.0.12" } }, "sha512-ts/8E8l5b7kY0vlWLewOkDXMmPdLcVV4GmOQLyxuSswIJsweeFZtAsMF7k1Nszz+TYBQrlYRmzOnr398y1JemQ=="],
"which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
@ -1449,8 +1319,6 @@
"write-file-atomic": ["write-file-atomic@4.0.2", "", { "dependencies": { "imurmurhash": "^0.1.4", "signal-exit": "^3.0.7" } }, "sha512-7KxauUdBmSdWnmpaGFg+ppNjKF8uNLry8LyzjauQDOVONfFLNKrKvQOxZ/VuTIcS/gge/YNahf5RIIQWTSarlg=="],
"xtend": ["xtend@4.0.2", "", {}, "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ=="],
"y18n": ["y18n@5.0.8", "", {}, "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA=="],
"yallist": ["yallist@3.1.1", "", {}, "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="],
@ -1461,12 +1329,6 @@
"yocto-queue": ["yocto-queue@0.1.0", "", {}, "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="],
"@aws-crypto/sha1-browser/@smithy/util-utf8": ["@smithy/util-utf8@2.3.0", "", { "dependencies": { "@smithy/util-buffer-from": "^2.2.0", "tslib": "^2.6.2" } }, "sha512-R8Rdn8Hy72KKcebgLiv8jQcQkXoLMOGGv5uI1/k0l+snqkOzQ1R0ChUBCxWMlBsFMekWjq0wRudIweFs7sKT5A=="],
"@aws-crypto/sha256-browser/@smithy/util-utf8": ["@smithy/util-utf8@2.3.0", "", { "dependencies": { "@smithy/util-buffer-from": "^2.2.0", "tslib": "^2.6.2" } }, "sha512-R8Rdn8Hy72KKcebgLiv8jQcQkXoLMOGGv5uI1/k0l+snqkOzQ1R0ChUBCxWMlBsFMekWjq0wRudIweFs7sKT5A=="],
"@aws-crypto/util/@smithy/util-utf8": ["@smithy/util-utf8@2.3.0", "", { "dependencies": { "@smithy/util-buffer-from": "^2.2.0", "tslib": "^2.6.2" } }, "sha512-R8Rdn8Hy72KKcebgLiv8jQcQkXoLMOGGv5uI1/k0l+snqkOzQ1R0ChUBCxWMlBsFMekWjq0wRudIweFs7sKT5A=="],
"@istanbuljs/load-nyc-config/camelcase": ["camelcase@5.3.1", "", {}, "sha512-L28STB170nwWS63UjtlEOE3dldQApaJXZkOI1uMFfzf3rRuPegHaHesyee+YxQ+W6SvRDQV6UrdOdRiR153wJg=="],
"@istanbuljs/load-nyc-config/find-up": ["find-up@4.1.0", "", { "dependencies": { "locate-path": "^5.0.0", "path-exists": "^4.0.0" } }, "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw=="],
@ -1477,8 +1339,6 @@
"@tailwindcss/typography/postcss-selector-parser": ["postcss-selector-parser@6.0.10", "", { "dependencies": { "cssesc": "^3.0.0", "util-deprecate": "^1.0.2" } }, "sha512-IQ7TZdoaqbT+LCpShg46jnZVlhWD2w6iQYAcYXfHARZ7X1t/UGhhceQDs5X0cGqKvYlHNOuv7Oa1xmb0oQuA3w=="],
"@types/serve-static/@types/send": ["@types/send@0.17.6", "", { "dependencies": { "@types/mime": "^1", "@types/node": "*" } }, "sha512-Uqt8rPBE8SY0RK8JB1EzVOIZ32uqy8HwdxCnoCOsYrvnswqmFZ/k+9Ikidlk/ImhsdvBsloHbAlewb2IEBV/Og=="],
"@typescript-eslint/typescript-estree/semver": ["semver@7.7.3", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q=="],
"ansi-escapes/type-fest": ["type-fest@0.21.3", "", {}, "sha512-t0rzBq87m3fVcduHDUFhKmyyX+9eo6WQjZvf51Ea/M0Q7+T374Jp1aUiyUl0GKxp8M/OETVHSDvmkyPgvX+X2w=="],
@ -1489,6 +1349,8 @@
"chokidar/glob-parent": ["glob-parent@5.1.2", "", { "dependencies": { "is-glob": "^4.0.1" } }, "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow=="],
"d3-dsv/commander": ["commander@7.2.0", "", {}, "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw=="],
"dom-serializer/entities": ["entities@2.2.0", "", {}, "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A=="],
"eslint/doctrine": ["doctrine@3.0.0", "", { "dependencies": { "esutils": "^2.0.2" } }, "sha512-yS+Q5i3hBf7GBkd4KG8a7eBNNWNGLTaEwwYWUijIYM7zrlYDM0BFXHjjPWlWZ1Rg7UaddZeIDmi9jF3HmqiQ2w=="],
@ -1533,8 +1395,6 @@
"rimraf/glob": ["glob@7.2.3", "", { "dependencies": { "fs.realpath": "^1.0.0", "inflight": "^1.0.4", "inherits": "2", "minimatch": "^3.1.1", "once": "^1.3.0", "path-is-absolute": "^1.0.0" } }, "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q=="],
"sharp/semver": ["semver@7.7.3", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q=="],
"stack-utils/escape-string-regexp": ["escape-string-regexp@2.0.0", "", {}, "sha512-UpzcLCXolUWcNu5HtVMHYdXJjArjsF9C0aNnquZYY4uW/Vu0miy5YoWvbV345HauVvcAUnpRuhMMcqTcGOY2+w=="],
"string-width/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
@ -1551,24 +1411,12 @@
"wrap-ansi/ansi-styles": ["ansi-styles@4.3.0", "", { "dependencies": { "color-convert": "^2.0.1" } }, "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg=="],
"@aws-crypto/sha1-browser/@smithy/util-utf8/@smithy/util-buffer-from": ["@smithy/util-buffer-from@2.2.0", "", { "dependencies": { "@smithy/is-array-buffer": "^2.2.0", "tslib": "^2.6.2" } }, "sha512-IJdWBbTcMQ6DA0gdNhh/BwrLkDR+ADW5Kr1aZmd4k3DIF6ezMV4R2NIAmT08wQJ3yUK82thHWmC/TnK/wpMMIA=="],
"@aws-crypto/sha256-browser/@smithy/util-utf8/@smithy/util-buffer-from": ["@smithy/util-buffer-from@2.2.0", "", { "dependencies": { "@smithy/is-array-buffer": "^2.2.0", "tslib": "^2.6.2" } }, "sha512-IJdWBbTcMQ6DA0gdNhh/BwrLkDR+ADW5Kr1aZmd4k3DIF6ezMV4R2NIAmT08wQJ3yUK82thHWmC/TnK/wpMMIA=="],
"@aws-crypto/util/@smithy/util-utf8/@smithy/util-buffer-from": ["@smithy/util-buffer-from@2.2.0", "", { "dependencies": { "@smithy/is-array-buffer": "^2.2.0", "tslib": "^2.6.2" } }, "sha512-IJdWBbTcMQ6DA0gdNhh/BwrLkDR+ADW5Kr1aZmd4k3DIF6ezMV4R2NIAmT08wQJ3yUK82thHWmC/TnK/wpMMIA=="],
"@istanbuljs/load-nyc-config/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
"@istanbuljs/load-nyc-config/js-yaml/argparse": ["argparse@1.0.10", "", { "dependencies": { "sprintf-js": "~1.0.2" } }, "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg=="],
"pkg-dir/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
"@aws-crypto/sha1-browser/@smithy/util-utf8/@smithy/util-buffer-from/@smithy/is-array-buffer": ["@smithy/is-array-buffer@2.2.0", "", { "dependencies": { "tslib": "^2.6.2" } }, "sha512-GGP3O9QFD24uGeAXYUjwSTXARoqpZykHadOmA8G5vfJPK0/DC67qa//0qvqrJzL1xc8WQWX7/yc7fwudjPHPhA=="],
"@aws-crypto/sha256-browser/@smithy/util-utf8/@smithy/util-buffer-from/@smithy/is-array-buffer": ["@smithy/is-array-buffer@2.2.0", "", { "dependencies": { "tslib": "^2.6.2" } }, "sha512-GGP3O9QFD24uGeAXYUjwSTXARoqpZykHadOmA8G5vfJPK0/DC67qa//0qvqrJzL1xc8WQWX7/yc7fwudjPHPhA=="],
"@aws-crypto/util/@smithy/util-utf8/@smithy/util-buffer-from/@smithy/is-array-buffer": ["@smithy/is-array-buffer@2.2.0", "", { "dependencies": { "tslib": "^2.6.2" } }, "sha512-GGP3O9QFD24uGeAXYUjwSTXARoqpZykHadOmA8G5vfJPK0/DC67qa//0qvqrJzL1xc8WQWX7/yc7fwudjPHPhA=="],
"@istanbuljs/load-nyc-config/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],
"pkg-dir/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],

3
components/EnvironmentalForm.tsx
View file

@ -28,10 +28,11 @@ export default function EnvironmentalForm({
section: K,
updates: Partial<GrowingEnvironment[K]>
) => {
const currentSection = value[section] || {};
onChange({
...value,
[section]: {
...value[section],
...currentSection,
...updates,
},
});

229
components/analytics/DataTable.tsx Normal file
View file

@ -0,0 +1,229 @@
/**
* Data Table Component
* Sortable and filterable data table for analytics
*/
import { useState, useMemo } from 'react';
interface Column {
key: string;
header: string;
sortable?: boolean;
render?: (value: any, row: any) => React.ReactNode;
width?: string;
align?: 'left' | 'center' | 'right';
}
interface DataTableProps {
data: any[];
columns: Column[];
title?: string;
pageSize?: number;
showSearch?: boolean;
searchPlaceholder?: string;
}
type SortDirection = 'asc' | 'desc' | null;
export default function DataTable({
data,
columns,
title,
pageSize = 10,
showSearch = true,
searchPlaceholder = 'Search...',
}: DataTableProps) {
const [sortKey, setSortKey] = useState<string | null>(null);
const [sortDir, setSortDir] = useState<SortDirection>(null);
const [search, setSearch] = useState('');
const [page, setPage] = useState(0);
const filteredData = useMemo(() => {
if (!search) return data;
const searchLower = search.toLowerCase();
return data.filter((row) =>
columns.some((col) => {
const value = row[col.key];
return String(value).toLowerCase().includes(searchLower);
})
);
}, [data, columns, search]);
const sortedData = useMemo(() => {
if (!sortKey || !sortDir) return filteredData;
return [...filteredData].sort((a, b) => {
const aVal = a[sortKey];
const bVal = b[sortKey];
if (aVal === bVal) return 0;
if (aVal === null || aVal === undefined) return 1;
if (bVal === null || bVal === undefined) return -1;
const comparison = aVal < bVal ? -1 : 1;
return sortDir === 'asc' ? comparison : -comparison;
});
}, [filteredData, sortKey, sortDir]);
const paginatedData = useMemo(() => {
const start = page * pageSize;
return sortedData.slice(start, start + pageSize);
}, [sortedData, page, pageSize]);
const totalPages = Math.ceil(sortedData.length / pageSize);
const handleSort = (key: string) => {
if (sortKey === key) {
if (sortDir === 'asc') setSortDir('desc');
else if (sortDir === 'desc') {
setSortKey(null);
setSortDir(null);
}
} else {
setSortKey(key);
setSortDir('asc');
}
};
const getSortIcon = (key: string) => {
if (sortKey !== key) {
return (
<svg className="w-4 h-4 text-gray-300" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M7 16V4m0 0L3 8m4-4l4 4m6 0v12m0 0l4-4m-4 4l-4-4" />
</svg>
);
}
if (sortDir === 'asc') {
return (
<svg className="w-4 h-4 text-green-600" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 15l7-7 7 7" />
</svg>
);
}
return (
<svg className="w-4 h-4 text-green-600" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
</svg>
);
};
const alignClasses = {
left: 'text-left',
center: 'text-center',
right: 'text-right',
};
return (
<div className="bg-white rounded-lg shadow-lg overflow-hidden">
{/* Header */}
<div className="px-6 py-4 border-b border-gray-200">
<div className="flex items-center justify-between">
{title && <h3 className="text-lg font-bold text-gray-900">{title}</h3>}
{showSearch && (
<div className="relative">
<input
type="text"
placeholder={searchPlaceholder}
value={search}
onChange={(e) => {
setSearch(e.target.value);
setPage(0);
}}
className="pl-10 pr-4 py-2 border border-gray-200 rounded-lg text-sm focus:outline-none focus:ring-2 focus:ring-green-500"
/>
<svg
className="absolute left-3 top-1/2 transform -translate-y-1/2 w-4 h-4 text-gray-400"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
strokeLinecap="round"
strokeLinejoin="round"
strokeWidth={2}
d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z"
/>
</svg>
</div>
)}
</div>
</div>
{/* Table */}
<div className="overflow-x-auto">
<table className="w-full">
<thead className="bg-gray-50">
<tr>
{columns.map((col) => (
<th
key={col.key}
className={`px-6 py-3 text-xs font-medium text-gray-500 uppercase tracking-wider ${
alignClasses[col.align || 'left']
} ${col.sortable !== false ? 'cursor-pointer hover:bg-gray-100' : ''}`}
style={{ width: col.width }}
onClick={() => col.sortable !== false && handleSort(col.key)}
>
<div className="flex items-center space-x-1">
<span>{col.header}</span>
{col.sortable !== false && getSortIcon(col.key)}
</div>
</th>
))}
</tr>
</thead>
<tbody className="divide-y divide-gray-200">
{paginatedData.length === 0 ? (
<tr>
<td colSpan={columns.length} className="px-6 py-8 text-center text-gray-500">
No data available
</td>
</tr>
) : (
paginatedData.map((row, rowIndex) => (
<tr key={rowIndex} className="hover:bg-gray-50">
{columns.map((col) => (
<td
key={col.key}
className={`px-6 py-4 whitespace-nowrap text-sm text-gray-900 ${
alignClasses[col.align || 'left']
}`}
>
{col.render ? col.render(row[col.key], row) : row[col.key]}
</td>
))}
</tr>
))
)}
</tbody>
</table>
</div>
{/* Pagination */}
{totalPages > 1 && (
<div className="px-6 py-4 border-t border-gray-200 flex items-center justify-between">
<span className="text-sm text-gray-500">
Showing {page * pageSize + 1} to {Math.min((page + 1) * pageSize, sortedData.length)} of{' '}
{sortedData.length} results
</span>
<div className="flex space-x-2">
<button
onClick={() => setPage(page - 1)}
disabled={page === 0}
className="px-3 py-1 border border-gray-200 rounded text-sm disabled:opacity-50 disabled:cursor-not-allowed hover:bg-gray-50"
>
Previous
</button>
<button
onClick={() => setPage(page + 1)}
disabled={page >= totalPages - 1}
className="px-3 py-1 border border-gray-200 rounded text-sm disabled:opacity-50 disabled:cursor-not-allowed hover:bg-gray-50"
>
Next
</button>
</div>
</div>
)}
</div>
);
}

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/**
* Date Range Picker Component
* Allows selection of time range for analytics
*/
import { TimeRange } from '../../lib/analytics/types';
interface DateRangePickerProps {
value: TimeRange;
onChange: (range: TimeRange) => void;
showCustom?: boolean;
}
const timeRangeOptions: { value: TimeRange; label: string }[] = [
{ value: '7d', label: 'Last 7 days' },
{ value: '30d', label: 'Last 30 days' },
{ value: '90d', label: 'Last 90 days' },
{ value: '365d', label: 'Last year' },
{ value: 'all', label: 'All time' },
];
export default function DateRangePicker({
value,
onChange,
showCustom = false,
}: DateRangePickerProps) {
return (
<div className="flex items-center space-x-2">
<span className="text-sm text-gray-500">Time range:</span>
<div className="inline-flex rounded-lg border border-gray-200 bg-white">
{timeRangeOptions.map((option) => (
<button
key={option.value}
onClick={() => onChange(option.value)}
className={`px-4 py-2 text-sm font-medium transition-colors first:rounded-l-lg last:rounded-r-lg ${
value === option.value
? 'bg-green-500 text-white'
: 'text-gray-600 hover:bg-gray-50'
}`}
>
{option.label}
</button>
))}
</div>
</div>
);
}

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/**
* Filter Panel Component
* Provides filtering options for analytics data
*/
import { useState } from 'react';
interface FilterOption {
value: string;
label: string;
}
interface FilterConfig {
key: string;
label: string;
type: 'select' | 'multiselect' | 'search';
options?: FilterOption[];
}
interface FilterPanelProps {
filters: FilterConfig[];
values: Record<string, any>;
onChange: (values: Record<string, any>) => void;
onReset?: () => void;
}
export default function FilterPanel({
filters,
values,
onChange,
onReset,
}: FilterPanelProps) {
const [isExpanded, setIsExpanded] = useState(false);
const handleChange = (key: string, value: any) => {
onChange({ ...values, [key]: value });
};
const handleMultiSelect = (key: string, value: string) => {
const current = values[key] || [];
const updated = current.includes(value)
? current.filter((v: string) => v !== value)
: [...current, value];
handleChange(key, updated);
};
const activeFilterCount = Object.values(values).filter(
(v) => v && (Array.isArray(v) ? v.length > 0 : true)
).length;
return (
<div className="bg-white rounded-lg shadow border border-gray-200">
{/* Header */}
<button
onClick={() => setIsExpanded(!isExpanded)}
className="w-full px-4 py-3 flex items-center justify-between hover:bg-gray-50"
>
<div className="flex items-center space-x-2">
<svg
className="w-5 h-5 text-gray-500"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
strokeLinecap="round"
strokeLinejoin="round"
strokeWidth={2}
d="M3 4a1 1 0 011-1h16a1 1 0 011 1v2.586a1 1 0 01-.293.707l-6.414 6.414a1 1 0 00-.293.707V17l-4 4v-6.586a1 1 0 00-.293-.707L3.293 7.293A1 1 0 013 6.586V4z"
/>
</svg>
<span className="font-medium text-gray-700">Filters</span>
{activeFilterCount > 0 && (
<span className="px-2 py-0.5 bg-green-100 text-green-700 text-xs rounded-full">
{activeFilterCount} active
</span>
)}
</div>
<svg
className={`w-5 h-5 text-gray-400 transform transition-transform ${
isExpanded ? 'rotate-180' : ''
}`}
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
</svg>
</button>
{/* Filter content */}
{isExpanded && (
<div className="px-4 py-4 border-t border-gray-200 space-y-4">
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
{filters.map((filter) => (
<div key={filter.key}>
<label className="block text-sm font-medium text-gray-700 mb-1">
{filter.label}
</label>
{filter.type === 'select' && filter.options && (
<select
value={values[filter.key] || ''}
onChange={(e) => handleChange(filter.key, e.target.value || null)}
className="w-full border border-gray-200 rounded-lg px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-green-500"
>
<option value="">All</option>
{filter.options.map((opt) => (
<option key={opt.value} value={opt.value}>
{opt.label}
</option>
))}
</select>
)}
{filter.type === 'multiselect' && filter.options && (
<div className="flex flex-wrap gap-2">
{filter.options.map((opt) => (
<button
key={opt.value}
onClick={() => handleMultiSelect(filter.key, opt.value)}
className={`px-3 py-1 text-sm rounded-full border transition-colors ${
(values[filter.key] || []).includes(opt.value)
? 'bg-green-500 text-white border-green-500'
: 'bg-white text-gray-600 border-gray-200 hover:border-green-300'
}`}
>
{opt.label}
</button>
))}
</div>
)}
{filter.type === 'search' && (
<input
type="text"
value={values[filter.key] || ''}
onChange={(e) => handleChange(filter.key, e.target.value || null)}
placeholder={`Search ${filter.label.toLowerCase()}...`}
className="w-full border border-gray-200 rounded-lg px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-green-500"
/>
)}
</div>
))}
</div>
{/* Actions */}
<div className="flex justify-end space-x-2 pt-2 border-t border-gray-100">
{onReset && (
<button
onClick={onReset}
className="px-4 py-2 text-sm text-gray-600 hover:text-gray-800"
>
Reset filters
</button>
)}
<button
onClick={() => setIsExpanded(false)}
className="px-4 py-2 text-sm bg-green-500 text-white rounded-lg hover:bg-green-600"
>
Apply
</button>
</div>
</div>
)}
</div>
);
}

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/**
* KPI Card Component
* Displays key performance indicators with trend indicators
*/
import { TrendDirection } from '../../lib/analytics/types';
interface KPICardProps {
title: string;
value: number | string;
unit?: string;
change?: number;
changePercent?: number;
trend?: TrendDirection;
color?: 'green' | 'blue' | 'purple' | 'orange' | 'red' | 'teal';
icon?: React.ReactNode;
loading?: boolean;
}
const colorClasses = {
green: {
bg: 'bg-green-50',
text: 'text-green-600',
icon: 'text-green-500',
},
blue: {
bg: 'bg-blue-50',
text: 'text-blue-600',
icon: 'text-blue-500',
},
purple: {
bg: 'bg-purple-50',
text: 'text-purple-600',
icon: 'text-purple-500',
},
orange: {
bg: 'bg-orange-50',
text: 'text-orange-600',
icon: 'text-orange-500',
},
red: {
bg: 'bg-red-50',
text: 'text-red-600',
icon: 'text-red-500',
},
teal: {
bg: 'bg-teal-50',
text: 'text-teal-600',
icon: 'text-teal-500',
},
};
export default function KPICard({
title,
value,
unit,
change,
changePercent,
trend = 'stable',
color = 'green',
icon,
loading = false,
}: KPICardProps) {
const classes = colorClasses[color];
const getTrendIcon = () => {
if (trend === 'up') {
return (
<svg className="w-4 h-4 text-green-500" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 10l7-7m0 0l7 7m-7-7v18" />
</svg>
);
}
if (trend === 'down') {
return (
<svg className="w-4 h-4 text-red-500" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 14l-7 7m0 0l-7-7m7 7V3" />
</svg>
);
}
return (
<svg className="w-4 h-4 text-gray-400" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 12h14" />
</svg>
);
};
const getTrendColor = () => {
if (trend === 'up') return 'text-green-600';
if (trend === 'down') return 'text-red-600';
return 'text-gray-500';
};
if (loading) {
return (
<div className={`${classes.bg} rounded-lg p-6 animate-pulse`}>
<div className="h-4 bg-gray-200 rounded w-1/2 mb-4"></div>
<div className="h-8 bg-gray-200 rounded w-3/4 mb-2"></div>
<div className="h-3 bg-gray-200 rounded w-1/3"></div>
</div>
);
}
return (
<div className={`${classes.bg} rounded-lg p-6 transition-all hover:shadow-md`}>
<div className="flex items-center justify-between mb-2">
<p className="text-sm font-medium text-gray-600">{title}</p>
{icon && <span className={classes.icon}>{icon}</span>}
</div>
<div className="flex items-baseline space-x-2">
<p className={`text-3xl font-bold ${classes.text}`}>{value}</p>
{unit && <span className="text-sm text-gray-500">{unit}</span>}
</div>
{(change !== undefined || changePercent !== undefined) && (
<div className={`flex items-center mt-2 space-x-1 ${getTrendColor()}`}>
{getTrendIcon()}
<span className="text-sm font-medium">
{changePercent !== undefined
? `${changePercent > 0 ? '+' : ''}${changePercent.toFixed(1)}%`
: change !== undefined
? `${change > 0 ? '+' : ''}${change}`
: ''}
</span>
<span className="text-xs text-gray-500">vs prev period</span>
</div>
)}
</div>
);
}

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/**
* Trend Indicator Component
* Shows trend direction with visual indicators
*/
import { TrendDirection } from '../../lib/analytics/types';
interface TrendIndicatorProps {
direction: TrendDirection;
value?: number;
showLabel?: boolean;
size?: 'sm' | 'md' | 'lg';
}
const sizeClasses = {
sm: 'w-3 h-3',
md: 'w-4 h-4',
lg: 'w-5 h-5',
};
const textSizeClasses = {
sm: 'text-xs',
md: 'text-sm',
lg: 'text-base',
};
export default function TrendIndicator({
direction,
value,
showLabel = false,
size = 'md',
}: TrendIndicatorProps) {
const iconSize = sizeClasses[size];
const textSize = textSizeClasses[size];
const getColor = () => {
switch (direction) {
case 'up':
return 'text-green-500';
case 'down':
return 'text-red-500';
default:
return 'text-gray-400';
}
};
const getBgColor = () => {
switch (direction) {
case 'up':
return 'bg-green-100';
case 'down':
return 'bg-red-100';
default:
return 'bg-gray-100';
}
};
const getIcon = () => {
switch (direction) {
case 'up':
return (
<svg className={iconSize} fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M7 11l5-5m0 0l5 5m-5-5v12" />
</svg>
);
case 'down':
return (
<svg className={iconSize} fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M17 13l-5 5m0 0l-5-5m5 5V6" />
</svg>
);
default:
return (
<svg className={iconSize} fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 12h14" />
</svg>
);
}
};
const getLabel = () => {
switch (direction) {
case 'up':
return 'Increasing';
case 'down':
return 'Decreasing';
default:
return 'Stable';
}
};
return (
<div className={`inline-flex items-center space-x-1.5 px-2 py-1 rounded-full ${getBgColor()}`}>
<span className={getColor()}>{getIcon()}</span>
{value !== undefined && (
<span className={`font-medium ${getColor()} ${textSize}`}>
{value > 0 ? '+' : ''}{value.toFixed(1)}%
</span>
)}
{showLabel && (
<span className={`${getColor()} ${textSize}`}>{getLabel()}</span>
)}
</div>
);
}

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/**
* Area Chart Component
* Displays time series data as a filled area chart
*/
import {
AreaChart as RechartsAreaChart,
Area,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
Legend,
ResponsiveContainer,
} from 'recharts';
interface AreaChartProps {
data: any[];
xKey: string;
yKey: string | string[];
title?: string;
colors?: string[];
height?: number;
showGrid?: boolean;
showLegend?: boolean;
stacked?: boolean;
gradient?: boolean;
formatter?: (value: number) => string;
}
const DEFAULT_COLORS = ['#10b981', '#3b82f6', '#8b5cf6', '#f59e0b', '#ef4444'];
export default function AreaChart({
data,
xKey,
yKey,
title,
colors = DEFAULT_COLORS,
height = 300,
showGrid = true,
showLegend = true,
stacked = false,
gradient = true,
formatter = (value) => value.toLocaleString(),
}: AreaChartProps) {
const yKeys = Array.isArray(yKey) ? yKey : [yKey];
return (
<div className="bg-white rounded-lg shadow-lg p-6">
{title && <h3 className="text-lg font-bold text-gray-900 mb-4">{title}</h3>}
<ResponsiveContainer width="100%" height={height}>
<RechartsAreaChart data={data} margin={{ top: 10, right: 30, left: 0, bottom: 0 }}>
<defs>
{yKeys.map((key, index) => (
<linearGradient key={key} id={`color${key}`} x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor={colors[index % colors.length]} stopOpacity={0.8} />
<stop offset="95%" stopColor={colors[index % colors.length]} stopOpacity={0.1} />
</linearGradient>
))}
</defs>
{showGrid && <CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />}
<XAxis
dataKey={xKey}
tick={{ fill: '#6b7280', fontSize: 12 }}
tickLine={{ stroke: '#e5e7eb' }}
/>
<YAxis
tick={{ fill: '#6b7280', fontSize: 12 }}
tickLine={{ stroke: '#e5e7eb' }}
tickFormatter={formatter}
/>
<Tooltip
contentStyle={{
backgroundColor: '#fff',
border: '1px solid #e5e7eb',
borderRadius: '8px',
boxShadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1)',
}}
formatter={(value: number) => [formatter(value), '']}
/>
{showLegend && <Legend />}
{yKeys.map((key, index) => (
<Area
key={key}
type="monotone"
dataKey={key}
stackId={stacked ? 'stack' : undefined}
stroke={colors[index % colors.length]}
strokeWidth={2}
fill={gradient ? `url(#color${key})` : colors[index % colors.length]}
fillOpacity={gradient ? 1 : 0.6}
/>
))}
</RechartsAreaChart>
</ResponsiveContainer>
</div>
);
}

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/**
* Bar Chart Component
* Displays categorical data as bars
*/
import {
BarChart as RechartsBarChart,
Bar,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
Legend,
ResponsiveContainer,
Cell,
} from 'recharts';
interface BarChartProps {
data: any[];
xKey: string;
yKey: string | string[];
title?: string;
colors?: string[];
height?: number;
showGrid?: boolean;
showLegend?: boolean;
stacked?: boolean;
horizontal?: boolean;
formatter?: (value: number) => string;
}
const DEFAULT_COLORS = ['#10b981', '#3b82f6', '#8b5cf6', '#f59e0b', '#ef4444', '#06b6d4'];
export default function BarChart({
data,
xKey,
yKey,
title,
colors = DEFAULT_COLORS,
height = 300,
showGrid = true,
showLegend = true,
stacked = false,
horizontal = false,
formatter = (value) => value.toLocaleString(),
}: BarChartProps) {
const yKeys = Array.isArray(yKey) ? yKey : [yKey];
const layout = horizontal ? 'vertical' : 'horizontal';
return (
<div className="bg-white rounded-lg shadow-lg p-6">
{title && <h3 className="text-lg font-bold text-gray-900 mb-4">{title}</h3>}
<ResponsiveContainer width="100%" height={height}>
<RechartsBarChart
data={data}
layout={layout}
margin={{ top: 5, right: 30, left: 20, bottom: 5 }}
>
{showGrid && <CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />}
{horizontal ? (
<>
<XAxis type="number" tick={{ fill: '#6b7280', fontSize: 12 }} tickFormatter={formatter} />
<YAxis dataKey={xKey} type="category" tick={{ fill: '#6b7280', fontSize: 12 }} width={100} />
</>
) : (
<>
<XAxis dataKey={xKey} tick={{ fill: '#6b7280', fontSize: 12 }} />
<YAxis tick={{ fill: '#6b7280', fontSize: 12 }} tickFormatter={formatter} />
</>
)}
<Tooltip
contentStyle={{
backgroundColor: '#fff',
border: '1px solid #e5e7eb',
borderRadius: '8px',
boxShadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1)',
}}
formatter={(value: number) => [formatter(value), '']}
/>
{showLegend && yKeys.length > 1 && <Legend />}
{yKeys.map((key, index) => (
<Bar
key={key}
dataKey={key}
fill={colors[index % colors.length]}
stackId={stacked ? 'stack' : undefined}
radius={[4, 4, 0, 0]}
>
{yKeys.length === 1 &&
data.map((entry, i) => (
<Cell key={`cell-${i}`} fill={colors[i % colors.length]} />
))}
</Bar>
))}
</RechartsBarChart>
</ResponsiveContainer>
</div>
);
}

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/**
* Gauge Chart Component
* Displays a single value as a gauge/meter
*/
import { PieChart, Pie, Cell, ResponsiveContainer } from 'recharts';
interface GaugeProps {
value: number;
max?: number;
title?: string;
unit?: string;
size?: number;
colors?: { low: string; medium: string; high: string };
thresholds?: { low: number; high: number };
}
const DEFAULT_COLORS = {
low: '#ef4444',
medium: '#f59e0b',
high: '#10b981',
};
export default function Gauge({
value,
max = 100,
title,
unit = '%',
size = 200,
colors = DEFAULT_COLORS,
thresholds = { low: 33, high: 66 },
}: GaugeProps) {
const percentage = Math.min((value / max) * 100, 100);
// Determine color based on thresholds
let color: string;
if (percentage < thresholds.low) {
color = colors.low;
} else if (percentage < thresholds.high) {
color = colors.medium;
} else {
color = colors.high;
}
// Data for semi-circle gauge
const gaugeData = [
{ value: percentage, color },
{ value: 100 - percentage, color: '#e5e7eb' },
];
return (
<div className="bg-white rounded-lg shadow-lg p-6 flex flex-col items-center">
{title && <h3 className="text-lg font-bold text-gray-900 mb-2">{title}</h3>}
<div className="relative" style={{ width: size, height: size / 2 + 20 }}>
<ResponsiveContainer width="100%" height={size}>
<PieChart>
<Pie
data={gaugeData}
cx="50%"
cy="100%"
startAngle={180}
endAngle={0}
innerRadius={size * 0.3}
outerRadius={size * 0.4}
paddingAngle={0}
dataKey="value"
>
{gaugeData.map((entry, index) => (
<Cell key={`cell-${index}`} fill={entry.color} stroke="none" />
))}
</Pie>
</PieChart>
</ResponsiveContainer>
<div
className="absolute inset-0 flex flex-col items-center justify-end pb-2"
style={{ top: size * 0.2 }}
>
<span className="text-3xl font-bold" style={{ color }}>
{value.toFixed(1)}
</span>
<span className="text-sm text-gray-500">{unit}</span>
</div>
</div>
<div className="flex justify-between w-full mt-2 px-4 text-xs text-gray-500">
<span>0</span>
<span>{max / 2}</span>
<span>{max}</span>
</div>
</div>
);
}

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/**
* Heatmap Component
* Displays data intensity across a grid
*/
interface HeatmapCell {
x: string;
y: string;
value: number;
}
interface HeatmapProps {
data: HeatmapCell[];
title?: string;
xLabels: string[];
yLabels: string[];
colorRange?: { min: string; max: string };
height?: number;
showValues?: boolean;
}
function interpolateColor(color1: string, color2: string, factor: number): string {
const hex = (c: string) => parseInt(c, 16);
const r1 = hex(color1.slice(1, 3));
const g1 = hex(color1.slice(3, 5));
const b1 = hex(color1.slice(5, 7));
const r2 = hex(color2.slice(1, 3));
const g2 = hex(color2.slice(3, 5));
const b2 = hex(color2.slice(5, 7));
const r = Math.round(r1 + (r2 - r1) * factor);
const g = Math.round(g1 + (g2 - g1) * factor);
const b = Math.round(b1 + (b2 - b1) * factor);
return `#${r.toString(16).padStart(2, '0')}${g.toString(16).padStart(2, '0')}${b.toString(16).padStart(2, '0')}`;
}
export default function Heatmap({
data,
title,
xLabels,
yLabels,
colorRange = { min: '#fee2e2', max: '#10b981' },
height = 300,
showValues = true,
}: HeatmapProps) {
const maxValue = Math.max(...data.map((d) => d.value));
const minValue = Math.min(...data.map((d) => d.value));
const range = maxValue - minValue || 1;
const getColor = (value: number): string => {
const factor = (value - minValue) / range;
return interpolateColor(colorRange.min, colorRange.max, factor);
};
const getValue = (x: string, y: string): number | undefined => {
const cell = data.find((d) => d.x === x && d.y === y);
return cell?.value;
};
const cellWidth = `${100 / xLabels.length}%`;
const cellHeight = (height - 40) / yLabels.length;
return (
<div className="bg-white rounded-lg shadow-lg p-6">
{title && <h3 className="text-lg font-bold text-gray-900 mb-4">{title}</h3>}
<div style={{ height }}>
{/* X Labels */}
<div className="flex mb-1" style={{ paddingLeft: '80px' }}>
{xLabels.map((label) => (
<div
key={label}
className="text-xs text-gray-500 text-center truncate"
style={{ width: cellWidth }}
>
{label}
</div>
))}
</div>
{/* Grid */}
{yLabels.map((yLabel) => (
<div key={yLabel} className="flex">
<div
className="flex items-center justify-end pr-2 text-xs text-gray-500"
style={{ width: '80px' }}
>
{yLabel}
</div>
{xLabels.map((xLabel) => {
const value = getValue(xLabel, yLabel);
const bgColor = value !== undefined ? getColor(value) : '#f3f4f6';
const textColor =
value !== undefined && (value - minValue) / range > 0.5
? '#fff'
: '#374151';
return (
<div
key={`${xLabel}-${yLabel}`}
className="flex items-center justify-center border border-white rounded-sm transition-all hover:ring-2 hover:ring-gray-400"
style={{
width: cellWidth,
height: cellHeight,
backgroundColor: bgColor,
}}
title={`${xLabel}, ${yLabel}: ${value ?? 'N/A'}`}
>
{showValues && value !== undefined && (
<span className="text-xs font-medium" style={{ color: textColor }}>
{value.toFixed(0)}
</span>
)}
</div>
);
})}
</div>
))}
{/* Legend */}
<div className="flex items-center justify-center mt-4 space-x-4">
<span className="text-xs text-gray-500">Low</span>
<div
className="w-24 h-3 rounded"
style={{
background: `linear-gradient(to right, ${colorRange.min}, ${colorRange.max})`,
}}
/>
<span className="text-xs text-gray-500">High</span>
</div>
</div>
</div>
);
}

85
components/analytics/charts/LineChart.tsx Normal file
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/**
* Line Chart Component
* Displays time series data as a line chart
*/
import {
LineChart as RechartsLineChart,
Line,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
Legend,
ResponsiveContainer,
} from 'recharts';
interface LineChartProps {
data: any[];
xKey: string;
yKey: string | string[];
title?: string;
colors?: string[];
height?: number;
showGrid?: boolean;
showLegend?: boolean;
formatter?: (value: number) => string;
}
const DEFAULT_COLORS = ['#10b981', '#3b82f6', '#8b5cf6', '#f59e0b', '#ef4444'];
export default function LineChart({
data,
xKey,
yKey,
title,
colors = DEFAULT_COLORS,
height = 300,
showGrid = true,
showLegend = true,
formatter = (value) => value.toLocaleString(),
}: LineChartProps) {
const yKeys = Array.isArray(yKey) ? yKey : [yKey];
return (
<div className="bg-white rounded-lg shadow-lg p-6">
{title && <h3 className="text-lg font-bold text-gray-900 mb-4">{title}</h3>}
<ResponsiveContainer width="100%" height={height}>
<RechartsLineChart data={data} margin={{ top: 5, right: 30, left: 20, bottom: 5 }}>
{showGrid && <CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />}
<XAxis
dataKey={xKey}
tick={{ fill: '#6b7280', fontSize: 12 }}
tickLine={{ stroke: '#e5e7eb' }}
/>
<YAxis
tick={{ fill: '#6b7280', fontSize: 12 }}
tickLine={{ stroke: '#e5e7eb' }}
tickFormatter={formatter}
/>
<Tooltip
contentStyle={{
backgroundColor: '#fff',
border: '1px solid #e5e7eb',
borderRadius: '8px',
boxShadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1)',
}}
formatter={(value: number) => [formatter(value), '']}
/>
{showLegend && <Legend />}
{yKeys.map((key, index) => (
<Line
key={key}
type="monotone"
dataKey={key}
stroke={colors[index % colors.length]}
strokeWidth={2}
dot={{ fill: colors[index % colors.length], r: 4 }}
activeDot={{ r: 6 }}
/>
))}
</RechartsLineChart>
</ResponsiveContainer>
</div>
);
}

123
components/analytics/charts/PieChart.tsx Normal file
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@ -0,0 +1,123 @@
/**
* Pie Chart Component
* Displays distribution data as a pie chart
*/
import {
PieChart as RechartsPieChart,
Pie,
Cell,
Tooltip,
Legend,
ResponsiveContainer,
} from 'recharts';
interface PieChartProps {
data: any[];
dataKey: string;
nameKey: string;
title?: string;
colors?: string[];
height?: number;
showLegend?: boolean;
innerRadius?: number;
outerRadius?: number;
formatter?: (value: number) => string;
}
const DEFAULT_COLORS = [
'#10b981', '#3b82f6', '#8b5cf6', '#f59e0b', '#ef4444',
'#06b6d4', '#ec4899', '#84cc16', '#f97316', '#6366f1',
];
export default function PieChart({
data,
dataKey,
nameKey,
title,
colors = DEFAULT_COLORS,
height = 300,
showLegend = true,
innerRadius = 0,
outerRadius = 80,
formatter = (value) => value.toLocaleString(),
}: PieChartProps) {
const RADIAN = Math.PI / 180;
const renderCustomizedLabel = ({
cx,
cy,
midAngle,
innerRadius,
outerRadius,
percent,
}: any) => {
if (percent < 0.05) return null;
const radius = innerRadius + (outerRadius - innerRadius) * 0.5;
const x = cx + radius * Math.cos(-midAngle * RADIAN);
const y = cy + radius * Math.sin(-midAngle * RADIAN);
return (
<text
x={x}
y={y}
fill="white"
textAnchor={x > cx ? 'start' : 'end'}
dominantBaseline="central"
fontSize="12"
fontWeight="bold"
>
{`${(percent * 100).toFixed(0)}%`}
</text>
);
};
return (
<div className="bg-white rounded-lg shadow-lg p-6">
{title && <h3 className="text-lg font-bold text-gray-900 mb-4">{title}</h3>}
<ResponsiveContainer width="100%" height={height}>
<RechartsPieChart>
<Pie
data={data}
cx="50%"
cy="50%"
labelLine={false}
label={renderCustomizedLabel}
innerRadius={innerRadius}
outerRadius={outerRadius}
paddingAngle={2}
dataKey={dataKey}
nameKey={nameKey}
>
{data.map((entry, index) => (
<Cell
key={`cell-${index}`}
fill={colors[index % colors.length]}
stroke="#fff"
strokeWidth={2}
/>
))}
</Pie>
<Tooltip
contentStyle={{
backgroundColor: '#fff',
border: '1px solid #e5e7eb',
borderRadius: '8px',
boxShadow: '0 4px 6px -1px rgba(0, 0, 0, 0.1)',
}}
formatter={(value: number) => [formatter(value), '']}
/>
{showLegend && (
<Legend
layout="horizontal"
verticalAlign="bottom"
align="center"
wrapperStyle={{ paddingTop: '20px' }}
/>
)}
</RechartsPieChart>
</ResponsiveContainer>
</div>
);
}

11
components/analytics/charts/index.ts Normal file
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/**
* Chart Components Index
* Export all chart components
*/
export { default as LineChart } from './LineChart';
export { default as BarChart } from './BarChart';
export { default as PieChart } from './PieChart';
export { default as AreaChart } from './AreaChart';
export { default as Gauge } from './Gauge';
export { default as Heatmap } from './Heatmap';

16
components/analytics/index.ts
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@ -1,3 +1,19 @@
/**
* Analytics Components Index
* Export all analytics components
*/
// Charts
export * from './charts';
// Widgets
export { default as KPICard } from './KPICard';
export { default as TrendIndicator } from './TrendIndicator';
export { default as DataTable } from './DataTable';
export { default as DateRangePicker } from './DateRangePicker';
export { default as FilterPanel } from './FilterPanel';
// Existing components
export { default as EnvironmentalImpact } from './EnvironmentalImpact';
export { default as FoodMilesTracker } from './FoodMilesTracker';
export { default as SavingsCalculator } from './SavingsCalculator';

6
lib/agents/AgentOrchestrator.ts
View file

@ -201,7 +201,7 @@ export class AgentOrchestrator {
}
// Stop all agents
for (const agent of this.agents.values()) {
for (const agent of Array.from(this.agents.values())) {
try {
await agent.stop();
console.log(`[Orchestrator] Stopped: ${agent.config.name}`);
@ -275,7 +275,7 @@ export class AgentOrchestrator {
* Perform health check on all agents
*/
private performHealthCheck(): void {
for (const [agentId, agent] of this.agents) {
for (const [agentId, agent] of Array.from(this.agents.entries())) {
const health = this.getAgentHealth(agentId);
if (!health.isHealthy) {
@ -296,7 +296,7 @@ export class AgentOrchestrator {
private aggregateAlerts(): void {
this.aggregatedAlerts = [];
for (const agent of this.agents.values()) {
for (const agent of Array.from(this.agents.values())) {
const alerts = agent.getAlerts()
.filter(a => !a.acknowledged)
.slice(-this.config.maxAlertsPerAgent);

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lib/analytics/aggregator.ts Normal file
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/**
* Data Aggregator for Analytics
* Aggregates data from various sources for analytics dashboards
*/
import {
AnalyticsOverview,
PlantAnalytics,
TransportAnalytics,
FarmAnalytics,
SustainabilityAnalytics,
TimeRange,
DateRange,
TimeSeriesDataPoint,
AnalyticsFilters,
AggregationConfig,
GroupByPeriod,
} from './types';
import { subDays, subMonths, startOfDay, endOfDay, format, eachDayOfInterval, parseISO } from 'date-fns';
// Mock data generators for demonstration - in production these would query actual databases
/**
* Get date range from TimeRange enum
*/
export function getDateRangeFromTimeRange(timeRange: TimeRange): DateRange {
const end = endOfDay(new Date());
let start: Date;
switch (timeRange) {
case '7d':
start = startOfDay(subDays(new Date(), 7));
break;
case '30d':
start = startOfDay(subDays(new Date(), 30));
break;
case '90d':
start = startOfDay(subDays(new Date(), 90));
break;
case '365d':
start = startOfDay(subDays(new Date(), 365));
break;
case 'all':
default:
start = startOfDay(subMonths(new Date(), 24)); // Default to 2 years
}
return { start, end };
}
/**
* Generate time series data points for a date range
*/
export function generateTimeSeriesPoints(
dateRange: DateRange,
valueGenerator: (date: Date, index: number) => number
): TimeSeriesDataPoint[] {
const days = eachDayOfInterval({ start: dateRange.start, end: dateRange.end });
return days.map((day, index) => ({
timestamp: format(day, 'yyyy-MM-dd'),
value: valueGenerator(day, index),
label: format(day, 'MMM d'),
}));
}
/**
* Aggregate data by time period
*/
export function aggregateByPeriod<T>(
data: T[],
dateField: keyof T,
valueField: keyof T,
period: GroupByPeriod
): Record<string, number> {
const aggregated: Record<string, number> = {};
data.forEach((item) => {
const date = parseISO(item[dateField] as string);
let key: string;
switch (period) {
case 'hour':
key = format(date, 'yyyy-MM-dd HH:00');
break;
case 'day':
key = format(date, 'yyyy-MM-dd');
break;
case 'week':
key = format(date, "yyyy-'W'ww");
break;
case 'month':
key = format(date, 'yyyy-MM');
break;
case 'year':
key = format(date, 'yyyy');
break;
}
aggregated[key] = (aggregated[key] || 0) + (item[valueField] as number);
});
return aggregated;
}
/**
* Calculate percentage change between two values
*/
export function calculateChange(current: number, previous: number): { change: number; percent: number } {
const change = current - previous;
const percent = previous !== 0 ? (change / previous) * 100 : current > 0 ? 100 : 0;
return { change, percent };
}
/**
* Get analytics overview with aggregated metrics
*/
export async function getAnalyticsOverview(
filters: AnalyticsFilters = { timeRange: '30d' }
): Promise<AnalyticsOverview> {
const dateRange = filters.dateRange || getDateRangeFromTimeRange(filters.timeRange);
// In production, these would be actual database queries
// For now, generate realistic mock data
const baseValue = 1000 + Math.random() * 500;
return {
totalPlants: Math.floor(baseValue * 1.5),
plantsRegisteredToday: Math.floor(Math.random() * 15 + 5),
plantsRegisteredThisWeek: Math.floor(Math.random() * 80 + 40),
plantsRegisteredThisMonth: Math.floor(Math.random() * 250 + 150),
totalTransportEvents: Math.floor(baseValue * 2.3),
totalCarbonKg: Math.round((Math.random() * 500 + 200) * 100) / 100,
totalFoodMiles: Math.round((Math.random() * 10000 + 5000) * 10) / 10,
activeUsers: Math.floor(Math.random() * 200 + 100),
growthRate: Math.round((Math.random() * 20 + 5) * 10) / 10,
trendsData: [
{
metric: 'Plants',
currentValue: Math.floor(baseValue * 1.5),
previousValue: Math.floor(baseValue * 1.35),
change: Math.floor(baseValue * 0.15),
changePercent: 11.1,
direction: 'up',
period: filters.timeRange,
},
{
metric: 'Carbon Saved',
currentValue: Math.round((Math.random() * 200 + 100) * 10) / 10,
previousValue: Math.round((Math.random() * 180 + 90) * 10) / 10,
change: Math.round((Math.random() * 20 + 10) * 10) / 10,
changePercent: 12.5,
direction: 'up',
period: filters.timeRange,
},
{
metric: 'Active Users',
currentValue: Math.floor(Math.random() * 200 + 100),
previousValue: Math.floor(Math.random() * 180 + 90),
change: Math.floor(Math.random() * 30 + 10),
changePercent: 8.3,
direction: 'up',
period: filters.timeRange,
},
{
metric: 'Food Miles',
currentValue: Math.round((Math.random() * 5000 + 2500) * 10) / 10,
previousValue: Math.round((Math.random() * 5500 + 2800) * 10) / 10,
change: -Math.round((Math.random() * 500 + 200) * 10) / 10,
changePercent: -8.7,
direction: 'down',
period: filters.timeRange,
},
],
};
}
/**
* Get plant-specific analytics
*/
export async function getPlantAnalytics(
filters: AnalyticsFilters = { timeRange: '30d' }
): Promise<PlantAnalytics> {
const dateRange = filters.dateRange || getDateRangeFromTimeRange(filters.timeRange);
const speciesData = [
{ species: 'Tomato', count: 245, percentage: 28.5, trend: 'up' as const },
{ species: 'Lettuce', count: 198, percentage: 23.0, trend: 'up' as const },
{ species: 'Pepper', count: 156, percentage: 18.1, trend: 'stable' as const },
{ species: 'Basil', count: 134, percentage: 15.6, trend: 'up' as const },
{ species: 'Cucumber', count: 87, percentage: 10.1, trend: 'down' as const },
{ species: 'Other', count: 41, percentage: 4.7, trend: 'stable' as const },
];
return {
totalPlants: speciesData.reduce((sum, s) => sum + s.count, 0),
plantsBySpecies: speciesData,
plantsByGeneration: [
{ generation: 1, count: 340, percentage: 39.5 },
{ generation: 2, count: 280, percentage: 32.5 },
{ generation: 3, count: 156, percentage: 18.1 },
{ generation: 4, count: 68, percentage: 7.9 },
{ generation: 5, count: 17, percentage: 2.0 },
],
registrationsTrend: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.floor(Math.random() * 15 + 5 + Math.sin(i / 7) * 5)
),
averageLineageDepth: 2.3,
topGrowers: [
{ userId: 'user-1', name: 'Green Gardens Co', totalPlants: 145, totalSpecies: 12, averageGeneration: 2.1 },
{ userId: 'user-2', name: 'Urban Farm LLC', totalPlants: 98, totalSpecies: 8, averageGeneration: 1.8 },
{ userId: 'user-3', name: 'Local Seeds Inc', totalPlants: 76, totalSpecies: 15, averageGeneration: 3.2 },
],
recentRegistrations: [
{ id: 'plant-1', name: 'Cherry Tomato #245', species: 'Tomato', registeredAt: new Date().toISOString(), generation: 3 },
{ id: 'plant-2', name: 'Butterhead Lettuce', species: 'Lettuce', registeredAt: new Date().toISOString(), generation: 2 },
{ id: 'plant-3', name: 'Sweet Basil', species: 'Basil', registeredAt: new Date().toISOString(), generation: 1 },
],
};
}
/**
* Get transport analytics
*/
export async function getTransportAnalytics(
filters: AnalyticsFilters = { timeRange: '30d' }
): Promise<TransportAnalytics> {
const dateRange = filters.dateRange || getDateRangeFromTimeRange(filters.timeRange);
return {
totalEvents: 2847,
totalDistanceKm: 15234.5,
totalCarbonKg: 487.3,
carbonSavedKg: 1256.8,
eventsByType: [
{ eventType: 'seed_acquisition', count: 423, percentage: 14.9, carbonKg: 52.3 },
{ eventType: 'growing_transport', count: 687, percentage: 24.1, carbonKg: 112.4 },
{ eventType: 'harvest', count: 534, percentage: 18.8, carbonKg: 45.2 },
{ eventType: 'distribution', count: 756, percentage: 26.6, carbonKg: 178.9 },
{ eventType: 'consumer_delivery', count: 447, percentage: 15.7, carbonKg: 98.5 },
],
eventsByMethod: [
{ method: 'walking', count: 312, percentage: 11.0, distanceKm: 156, carbonKg: 0, efficiency: 100 },
{ method: 'bicycle', count: 534, percentage: 18.8, distanceKm: 1602, carbonKg: 0, efficiency: 100 },
{ method: 'electric_vehicle', count: 687, percentage: 24.1, distanceKm: 4806, carbonKg: 72.1, efficiency: 85 },
{ method: 'gasoline_vehicle', count: 756, percentage: 26.6, distanceKm: 5292, carbonKg: 264.6, efficiency: 45 },
{ method: 'local_delivery', count: 558, percentage: 19.6, distanceKm: 3378, carbonKg: 150.6, efficiency: 60 },
],
dailyStats: generateTimeSeriesPoints(dateRange, (_, i) => ({
date: format(dateRange.start, 'yyyy-MM-dd'),
eventCount: Math.floor(Math.random() * 80 + 40),
distanceKm: Math.round((Math.random() * 500 + 200) * 10) / 10,
carbonKg: Math.round((Math.random() * 20 + 5) * 100) / 100,
})).map(p => ({
date: p.timestamp,
eventCount: p.value,
distanceKm: Math.round((Math.random() * 500 + 200) * 10) / 10,
carbonKg: Math.round((Math.random() * 20 + 5) * 100) / 100,
})),
averageDistancePerEvent: 5.35,
mostEfficientRoutes: [
{ from: 'Local Farm A', to: 'Community Center', method: 'bicycle', distanceKm: 2.3, carbonKg: 0, frequency: 45 },
{ from: 'Urban Garden', to: 'Farmers Market', method: 'walking', distanceKm: 0.8, carbonKg: 0, frequency: 38 },
{ from: 'Rooftop Farm', to: 'Restaurant Row', method: 'electric_vehicle', distanceKm: 4.5, carbonKg: 0.07, frequency: 32 },
],
carbonTrend: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.round((Math.random() * 15 + 10 - i * 0.1) * 100) / 100
),
};
}
/**
* Get farm analytics
*/
export async function getFarmAnalytics(
filters: AnalyticsFilters = { timeRange: '30d' }
): Promise<FarmAnalytics> {
const dateRange = filters.dateRange || getDateRangeFromTimeRange(filters.timeRange);
return {
totalFarms: 24,
totalZones: 156,
activeBatches: 89,
completedBatches: 234,
averageYieldKg: 45.6,
resourceUsage: {
waterLiters: 125000,
energyKwh: 8500,
nutrientsKg: 450,
waterEfficiency: 87.5,
energyEfficiency: 92.3,
},
performanceByZone: [
{ zoneId: 'zone-1', zoneName: 'Zone A - Leafy Greens', currentCrop: 'Lettuce', healthScore: 94, yieldKg: 52.3, efficiency: 91 },
{ zoneId: 'zone-2', zoneName: 'Zone B - Herbs', currentCrop: 'Basil', healthScore: 88, yieldKg: 38.7, efficiency: 85 },
{ zoneId: 'zone-3', zoneName: 'Zone C - Tomatoes', currentCrop: 'Cherry Tomato', healthScore: 92, yieldKg: 67.4, efficiency: 89 },
{ zoneId: 'zone-4', zoneName: 'Zone D - Microgreens', currentCrop: 'Mixed Micro', healthScore: 96, yieldKg: 24.1, efficiency: 94 },
],
batchCompletionTrend: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.floor(Math.random() * 5 + 2)
),
yieldPredictions: [
{ cropType: 'Lettuce', predictedYieldKg: 156.5, confidence: 0.92, harvestDate: format(subDays(new Date(), -7), 'yyyy-MM-dd') },
{ cropType: 'Tomato', predictedYieldKg: 234.8, confidence: 0.87, harvestDate: format(subDays(new Date(), -14), 'yyyy-MM-dd') },
{ cropType: 'Basil', predictedYieldKg: 45.2, confidence: 0.94, harvestDate: format(subDays(new Date(), -5), 'yyyy-MM-dd') },
],
topPerformingCrops: [
{ cropType: 'Lettuce', averageYieldKg: 48.3, growthDays: 28, successRate: 94.5, batches: 45 },
{ cropType: 'Basil', averageYieldKg: 12.4, growthDays: 21, successRate: 91.2, batches: 38 },
{ cropType: 'Cherry Tomato', averageYieldKg: 67.8, growthDays: 65, successRate: 88.7, batches: 22 },
{ cropType: 'Microgreens', averageYieldKg: 5.6, growthDays: 14, successRate: 96.8, batches: 67 },
],
};
}
/**
* Get sustainability analytics
*/
export async function getSustainabilityAnalytics(
filters: AnalyticsFilters = { timeRange: '30d' }
): Promise<SustainabilityAnalytics> {
const dateRange = filters.dateRange || getDateRangeFromTimeRange(filters.timeRange);
return {
overallScore: 82.5,
carbonFootprint: {
totalEmittedKg: 487.3,
totalSavedKg: 1256.8,
netImpactKg: -769.5,
reductionPercentage: 72.1,
equivalentTrees: 38.4,
monthlyTrend: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.round((50 - i * 0.5 + Math.random() * 10) * 10) / 10
),
},
foodMiles: {
totalMiles: 15234.5,
averageMilesPerPlant: 17.7,
savedMiles: 48672.3,
localPercentage: 76.2,
monthlyTrend: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.round((600 - i * 5 + Math.random() * 100) * 10) / 10
),
},
waterUsage: {
totalUsedLiters: 125000,
savedLiters: 87500,
efficiencyScore: 87.5,
perKgProduce: 2.8,
},
localProduction: {
localCount: 654,
totalCount: 861,
percentage: 76.0,
trend: 'up',
},
goals: [
{ id: 'goal-1', name: 'Carbon Neutral by 2025', target: 0, current: 487.3, unit: 'kg CO2', progress: 72, deadline: '2025-12-31', status: 'on_track' },
{ id: 'goal-2', name: '80% Local Production', target: 80, current: 76, unit: '%', progress: 95, deadline: '2024-12-31', status: 'on_track' },
{ id: 'goal-3', name: 'Reduce Food Miles 50%', target: 50, current: 38, unit: '%', progress: 76, deadline: '2024-06-30', status: 'at_risk' },
{ id: 'goal-4', name: 'Water Efficiency 90%', target: 90, current: 87.5, unit: '%', progress: 97, deadline: '2024-12-31', status: 'on_track' },
],
trends: [
{
metric: 'Carbon Reduction',
values: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.round((65 + i * 0.3 + Math.random() * 5) * 10) / 10
),
},
{
metric: 'Local Production',
values: generateTimeSeriesPoints(dateRange, (_, i) =>
Math.round((70 + i * 0.2 + Math.random() * 3) * 10) / 10
),
},
],
};
}
/**
* Cache management for analytics data
*/
const analyticsCache = new Map<string, { data: any; timestamp: number }>();
const CACHE_TTL_MS = 5 * 60 * 1000; // 5 minutes
export function getCachedData<T>(key: string): T | null {
const cached = analyticsCache.get(key);
if (cached && Date.now() - cached.timestamp < CACHE_TTL_MS) {
return cached.data as T;
}
return null;
}
export function setCachedData<T>(key: string, data: T): void {
analyticsCache.set(key, { data, timestamp: Date.now() });
}
export function clearCache(): void {
analyticsCache.clear();
}
/**
* Generate cache key from filters
*/
export function generateCacheKey(prefix: string, filters: AnalyticsFilters): string {
return `${prefix}-${JSON.stringify(filters)}`;
}

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/**
* Cache Management for Analytics
* Provides caching for expensive analytics calculations
*/
interface CacheEntry<T> {
data: T;
timestamp: number;
expiresAt: number;
}
class AnalyticsCache {
private cache: Map<string, CacheEntry<any>> = new Map();
private defaultTTL: number = 5 * 60 * 1000; // 5 minutes
/**
* Get cached data
*/
get<T>(key: string): T | null {
const entry = this.cache.get(key);
if (!entry) return null;
if (Date.now() > entry.expiresAt) {
this.cache.delete(key);
return null;
}
return entry.data as T;
}
/**
* Set cached data
*/
set<T>(key: string, data: T, ttlMs: number = this.defaultTTL): void {
const now = Date.now();
this.cache.set(key, {
data,
timestamp: now,
expiresAt: now + ttlMs,
});
}
/**
* Check if key exists and is valid
*/
has(key: string): boolean {
const entry = this.cache.get(key);
if (!entry) return false;
if (Date.now() > entry.expiresAt) {
this.cache.delete(key);
return false;
}
return true;
}
/**
* Delete a specific key
*/
delete(key: string): boolean {
return this.cache.delete(key);
}
/**
* Clear all cached data
*/
clear(): void {
this.cache.clear();
}
/**
* Clear expired entries
*/
cleanup(): number {
const now = Date.now();
let cleaned = 0;
for (const [key, entry] of this.cache.entries()) {
if (now > entry.expiresAt) {
this.cache.delete(key);
cleaned++;
}
}
return cleaned;
}
/**
* Get cache statistics
*/
getStats(): {
size: number;
validEntries: number;
expiredEntries: number;
} {
const now = Date.now();
let valid = 0;
let expired = 0;
for (const entry of this.cache.values()) {
if (now > entry.expiresAt) {
expired++;
} else {
valid++;
}
}
return {
size: this.cache.size,
validEntries: valid,
expiredEntries: expired,
};
}
/**
* Generate cache key from object
*/
static generateKey(prefix: string, params: Record<string, any>): string {
const sortedParams = Object.keys(params)
.sort()
.map((key) => `${key}:${JSON.stringify(params[key])}`)
.join('|');
return `${prefix}:${sortedParams}`;
}
}
// Singleton instance
export const analyticsCache = new AnalyticsCache();
/**
* Cache decorator for async functions
*/
export function cached<T>(
keyGenerator: (...args: any[]) => string,
ttlMs: number = 5 * 60 * 1000
) {
return function (
target: any,
propertyKey: string,
descriptor: PropertyDescriptor
) {
const originalMethod = descriptor.value;
descriptor.value = async function (...args: any[]) {
const cacheKey = keyGenerator(...args);
const cached = analyticsCache.get<T>(cacheKey);
if (cached !== null) {
return cached;
}
const result = await originalMethod.apply(this, args);
analyticsCache.set(cacheKey, result, ttlMs);
return result;
};
return descriptor;
};
}
/**
* Higher-order function for caching async functions
*/
export function withCache<T, A extends any[]>(
fn: (...args: A) => Promise<T>,
keyGenerator: (...args: A) => string,
ttlMs: number = 5 * 60 * 1000
): (...args: A) => Promise<T> {
return async (...args: A): Promise<T> => {
const cacheKey = keyGenerator(...args);
const cached = analyticsCache.get<T>(cacheKey);
if (cached !== null) {
return cached;
}
const result = await fn(...args);
analyticsCache.set(cacheKey, result, ttlMs);
return result;
};
}
// Schedule periodic cleanup
if (typeof setInterval !== 'undefined') {
setInterval(() => {
analyticsCache.cleanup();
}, 60 * 1000); // Run cleanup every minute
}

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/**
* Analytics Module Index
* Exports all analytics functionality
*/
// Types
export * from './types';
// Data aggregation
export {
getDateRangeFromTimeRange,
generateTimeSeriesPoints,
aggregateByPeriod,
calculateChange,
getAnalyticsOverview,
getPlantAnalytics,
getTransportAnalytics,
getFarmAnalytics,
getSustainabilityAnalytics,
getCachedData,
setCachedData,
clearCache,
generateCacheKey,
} from './aggregator';
// Metrics calculations
export {
mean,
median,
standardDeviation,
percentile,
minMax,
getTrendDirection,
percentageChange,
movingAverage,
rateOfChange,
normalize,
cagr,
efficiencyScore,
carbonIntensity,
foodMilesScore,
sustainabilityScore,
generateKPICards,
calculateGrowthMetrics,
detectAnomalies,
correlationCoefficient,
formatNumber,
formatPercentage,
} from './metrics';
// Trend analysis
export {
analyzeTrend,
linearRegression,
forecast,
detectSeasonality,
findPeaksAndValleys,
calculateMomentum,
exponentialSmoothing,
generateTrendSummary,
compareTimeSeries,
getTrendConfidence,
yearOverYearComparison,
} from './trends';
// Cache management
export {
analyticsCache,
withCache,
} from './cache';

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/**
* Metrics Calculations for Analytics
* Provides metric calculations and statistical functions
*/
import { TrendDirection, TimeSeriesDataPoint, KPICardData } from './types';
/**
* Calculate mean of an array of numbers
*/
export function mean(values: number[]): number {
if (values.length === 0) return 0;
return values.reduce((sum, v) => sum + v, 0) / values.length;
}
/**
* Calculate median of an array of numbers
*/
export function median(values: number[]): number {
if (values.length === 0) return 0;
const sorted = [...values].sort((a, b) => a - b);
const mid = Math.floor(sorted.length / 2);
return sorted.length % 2 !== 0 ? sorted[mid] : (sorted[mid - 1] + sorted[mid]) / 2;
}
/**
* Calculate standard deviation
*/
export function standardDeviation(values: number[]): number {
if (values.length === 0) return 0;
const avg = mean(values);
const squareDiffs = values.map(v => Math.pow(v - avg, 2));
return Math.sqrt(mean(squareDiffs));
}
/**
* Calculate percentile
*/
export function percentile(values: number[], p: number): number {
if (values.length === 0) return 0;
const sorted = [...values].sort((a, b) => a - b);
const index = (p / 100) * (sorted.length - 1);
const lower = Math.floor(index);
const upper = Math.ceil(index);
const weight = index - lower;
return sorted[lower] * (1 - weight) + sorted[upper] * weight;
}
/**
* Calculate min and max
*/
export function minMax(values: number[]): { min: number; max: number } {
if (values.length === 0) return { min: 0, max: 0 };
return {
min: Math.min(...values),
max: Math.max(...values),
};
}
/**
* Determine trend direction from two values
*/
export function getTrendDirection(current: number, previous: number, threshold: number = 0.5): TrendDirection {
const change = ((current - previous) / Math.abs(previous || 1)) * 100;
if (Math.abs(change) < threshold) return 'stable';
return change > 0 ? 'up' : 'down';
}
/**
* Calculate percentage change
*/
export function percentageChange(current: number, previous: number): number {
if (previous === 0) return current > 0 ? 100 : 0;
return ((current - previous) / Math.abs(previous)) * 100;
}
/**
* Calculate moving average
*/
export function movingAverage(data: TimeSeriesDataPoint[], windowSize: number): TimeSeriesDataPoint[] {
return data.map((point, index) => {
const start = Math.max(0, index - windowSize + 1);
const window = data.slice(start, index + 1);
const avg = mean(window.map(p => p.value));
return {
...point,
value: Math.round(avg * 100) / 100,
};
});
}
/**
* Calculate rate of change (derivative)
*/
export function rateOfChange(data: TimeSeriesDataPoint[]): TimeSeriesDataPoint[] {
return data.slice(1).map((point, index) => ({
...point,
value: point.value - data[index].value,
}));
}
/**
* Normalize values to 0-100 range
*/
export function normalize(values: number[]): number[] {
const { min, max } = minMax(values);
const range = max - min;
if (range === 0) return values.map(() => 50);
return values.map(v => ((v - min) / range) * 100);
}
/**
* Calculate compound annual growth rate (CAGR)
*/
export function cagr(startValue: number, endValue: number, years: number): number {
if (startValue <= 0 || years <= 0) return 0;
return (Math.pow(endValue / startValue, 1 / years) - 1) * 100;
}
/**
* Calculate efficiency score
*/
export function efficiencyScore(actual: number, optimal: number): number {
if (optimal === 0) return actual === 0 ? 100 : 0;
return Math.min(100, (optimal / actual) * 100);
}
/**
* Calculate carbon intensity (kg CO2 per km)
*/
export function carbonIntensity(carbonKg: number, distanceKm: number): number {
if (distanceKm === 0) return 0;
return carbonKg / distanceKm;
}
/**
* Calculate food miles score (0-100, lower is better)
*/
export function foodMilesScore(miles: number, maxMiles: number = 5000): number {
if (miles >= maxMiles) return 0;
return Math.round((1 - miles / maxMiles) * 100);
}
/**
* Calculate sustainability composite score
*/
export function sustainabilityScore(
carbonReduction: number,
localPercentage: number,
waterEfficiency: number,
wasteReduction: number
): number {
const weights = {
carbon: 0.35,
local: 0.25,
water: 0.25,
waste: 0.15,
};
return Math.round(
carbonReduction * weights.carbon +
localPercentage * weights.local +
waterEfficiency * weights.water +
wasteReduction * weights.waste
);
}
/**
* Generate KPI card data from metrics
*/
export function generateKPICards(metrics: {
plants: { current: number; previous: number };
carbon: { current: number; previous: number };
foodMiles: { current: number; previous: number };
users: { current: number; previous: number };
sustainability: { current: number; previous: number };
}): KPICardData[] {
return [
{
id: 'total-plants',
title: 'Total Plants',
value: metrics.plants.current,
change: metrics.plants.current - metrics.plants.previous,
changePercent: percentageChange(metrics.plants.current, metrics.plants.previous),
trend: getTrendDirection(metrics.plants.current, metrics.plants.previous),
color: 'green',
},
{
id: 'carbon-saved',
title: 'Carbon Saved',
value: metrics.carbon.current.toFixed(1),
unit: 'kg CO2',
change: metrics.carbon.current - metrics.carbon.previous,
changePercent: percentageChange(metrics.carbon.current, metrics.carbon.previous),
trend: getTrendDirection(metrics.carbon.current, metrics.carbon.previous),
color: 'teal',
},
{
id: 'food-miles',
title: 'Food Miles',
value: metrics.foodMiles.current.toFixed(0),
unit: 'km',
change: metrics.foodMiles.current - metrics.foodMiles.previous,
changePercent: percentageChange(metrics.foodMiles.current, metrics.foodMiles.previous),
trend: getTrendDirection(metrics.foodMiles.previous, metrics.foodMiles.current), // Inverted: lower is better
color: 'blue',
},
{
id: 'active-users',
title: 'Active Users',
value: metrics.users.current,
change: metrics.users.current - metrics.users.previous,
changePercent: percentageChange(metrics.users.current, metrics.users.previous),
trend: getTrendDirection(metrics.users.current, metrics.users.previous),
color: 'purple',
},
{
id: 'sustainability',
title: 'Sustainability Score',
value: metrics.sustainability.current.toFixed(0),
unit: '%',
change: metrics.sustainability.current - metrics.sustainability.previous,
changePercent: percentageChange(metrics.sustainability.current, metrics.sustainability.previous),
trend: getTrendDirection(metrics.sustainability.current, metrics.sustainability.previous),
color: 'green',
},
];
}
/**
* Calculate growth metrics
*/
export function calculateGrowthMetrics(data: TimeSeriesDataPoint[]): {
totalGrowth: number;
averageDaily: number;
peakValue: number;
peakDate: string;
trend: TrendDirection;
} {
if (data.length === 0) {
return { totalGrowth: 0, averageDaily: 0, peakValue: 0, peakDate: '', trend: 'stable' };
}
const values = data.map(d => d.value);
const total = values.reduce((sum, v) => sum + v, 0);
const avgDaily = total / data.length;
const maxIndex = values.indexOf(Math.max(...values));
const firstHalf = mean(values.slice(0, Math.floor(values.length / 2)));
const secondHalf = mean(values.slice(Math.floor(values.length / 2)));
return {
totalGrowth: total,
averageDaily: Math.round(avgDaily * 100) / 100,
peakValue: values[maxIndex],
peakDate: data[maxIndex].timestamp,
trend: getTrendDirection(secondHalf, firstHalf),
};
}
/**
* Detect anomalies using z-score
*/
export function detectAnomalies(
data: TimeSeriesDataPoint[],
threshold: number = 2
): TimeSeriesDataPoint[] {
const values = data.map(d => d.value);
const avg = mean(values);
const std = standardDeviation(values);
if (std === 0) return [];
return data.filter(point => {
const zScore = Math.abs((point.value - avg) / std);
return zScore > threshold;
});
}
/**
* Calculate correlation coefficient between two datasets
*/
export function correlationCoefficient(x: number[], y: number[]): number {
if (x.length !== y.length || x.length === 0) return 0;
const n = x.length;
const meanX = mean(x);
const meanY = mean(y);
let numerator = 0;
let denomX = 0;
let denomY = 0;
for (let i = 0; i < n; i++) {
const dx = x[i] - meanX;
const dy = y[i] - meanY;
numerator += dx * dy;
denomX += dx * dx;
denomY += dy * dy;
}
const denominator = Math.sqrt(denomX * denomY);
return denominator === 0 ? 0 : numerator / denominator;
}
/**
* Format large numbers for display
*/
export function formatNumber(value: number, decimals: number = 1): string {
if (Math.abs(value) >= 1000000) {
return (value / 1000000).toFixed(decimals) + 'M';
}
if (Math.abs(value) >= 1000) {
return (value / 1000).toFixed(decimals) + 'K';
}
return value.toFixed(decimals);
}
/**
* Format percentage for display
*/
export function formatPercentage(value: number, showSign: boolean = false): string {
const formatted = value.toFixed(1);
if (showSign && value > 0) return '+' + formatted + '%';
return formatted + '%';
}

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/**
* Trend Analysis for Analytics
* Provides trend detection, forecasting, and pattern analysis
*/
import { TimeSeriesDataPoint, TrendDirection, TrendData, TimeRange } from './types';
import { mean, standardDeviation, percentageChange, movingAverage } from './metrics';
import { format, parseISO, differenceInDays } from 'date-fns';
/**
* Analyze trend from time series data
*/
export function analyzeTrend(data: TimeSeriesDataPoint[]): TrendData {
if (data.length < 2) {
return {
metric: 'Unknown',
currentValue: data[0]?.value || 0,
previousValue: 0,
change: 0,
changePercent: 0,
direction: 'stable',
period: 'N/A',
};
}
const midpoint = Math.floor(data.length / 2);
const firstHalf = data.slice(0, midpoint);
const secondHalf = data.slice(midpoint);
const firstAvg = mean(firstHalf.map(d => d.value));
const secondAvg = mean(secondHalf.map(d => d.value));
const change = secondAvg - firstAvg;
const changePercent = percentageChange(secondAvg, firstAvg);
let direction: TrendDirection = 'stable';
if (changePercent > 5) direction = 'up';
else if (changePercent < -5) direction = 'down';
return {
metric: '',
currentValue: secondAvg,
previousValue: firstAvg,
change,
changePercent: Math.round(changePercent * 10) / 10,
direction,
period: `${data[0].timestamp} - ${data[data.length - 1].timestamp}`,
};
}
/**
* Calculate linear regression for forecasting
*/
export function linearRegression(data: TimeSeriesDataPoint[]): {
slope: number;
intercept: number;
rSquared: number;
} {
const n = data.length;
if (n < 2) return { slope: 0, intercept: 0, rSquared: 0 };
let sumX = 0, sumY = 0, sumXY = 0, sumX2 = 0, sumY2 = 0;
data.forEach((point, i) => {
const x = i;
const y = point.value;
sumX += x;
sumY += y;
sumXY += x * y;
sumX2 += x * x;
sumY2 += y * y;
});
const slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX);
const intercept = (sumY - slope * sumX) / n;
// Calculate R-squared
const yMean = sumY / n;
let ssRes = 0, ssTot = 0;
data.forEach((point, i) => {
const predicted = slope * i + intercept;
ssRes += Math.pow(point.value - predicted, 2);
ssTot += Math.pow(point.value - yMean, 2);
});
const rSquared = ssTot === 0 ? 1 : 1 - ssRes / ssTot;
return {
slope: Math.round(slope * 1000) / 1000,
intercept: Math.round(intercept * 1000) / 1000,
rSquared: Math.round(rSquared * 1000) / 1000,
};
}
/**
* Forecast future values using linear regression
*/
export function forecast(
data: TimeSeriesDataPoint[],
periodsAhead: number
): TimeSeriesDataPoint[] {
const regression = linearRegression(data);
const predictions: TimeSeriesDataPoint[] = [];
const lastIndex = data.length - 1;
for (let i = 1; i <= periodsAhead; i++) {
const predictedValue = regression.slope * (lastIndex + i) + regression.intercept;
predictions.push({
timestamp: `+${i}`,
value: Math.max(0, Math.round(predictedValue * 100) / 100),
label: `Forecast ${i}`,
});
}
return predictions;
}
/**
* Detect seasonality in data
*/
export function detectSeasonality(data: TimeSeriesDataPoint[]): {
hasSeasonality: boolean;
period: number;
strength: number;
} {
if (data.length < 14) {
return { hasSeasonality: false, period: 0, strength: 0 };
}
// Try common periods: 7 days (weekly), 30 days (monthly)
const periods = [7, 14, 30];
let bestPeriod = 0;
let bestCorrelation = 0;
for (const period of periods) {
if (data.length < period * 2) continue;
let correlation = 0;
let count = 0;
for (let i = period; i < data.length; i++) {
correlation += Math.abs(data[i].value - data[i - period].value);
count++;
}
const avgCorr = count > 0 ? 1 - correlation / (count * mean(data.map(d => d.value))) : 0;
if (avgCorr > bestCorrelation) {
bestCorrelation = avgCorr;
bestPeriod = period;
}
}
return {
hasSeasonality: bestCorrelation > 0.5,
period: bestPeriod,
strength: Math.round(bestCorrelation * 100) / 100,
};
}
/**
* Identify peaks and valleys in data
*/
export function findPeaksAndValleys(
data: TimeSeriesDataPoint[],
sensitivity: number = 1.5
): {
peaks: TimeSeriesDataPoint[];
valleys: TimeSeriesDataPoint[];
} {
const peaks: TimeSeriesDataPoint[] = [];
const valleys: TimeSeriesDataPoint[] = [];
if (data.length < 3) return { peaks, valleys };
const avg = mean(data.map(d => d.value));
const std = standardDeviation(data.map(d => d.value));
const threshold = std * sensitivity;
for (let i = 1; i < data.length - 1; i++) {
const prev = data[i - 1].value;
const curr = data[i].value;
const next = data[i + 1].value;
// Peak detection
if (curr > prev && curr > next && curr > avg + threshold) {
peaks.push(data[i]);
}
// Valley detection
if (curr < prev && curr < next && curr < avg - threshold) {
valleys.push(data[i]);
}
}
return { peaks, valleys };
}
/**
* Calculate trend momentum
*/
export function calculateMomentum(data: TimeSeriesDataPoint[], lookback: number = 5): number {
if (data.length < lookback) return 0;
const recent = data.slice(-lookback);
const older = data.slice(-lookback * 2, -lookback);
if (older.length === 0) return 0;
const recentAvg = mean(recent.map(d => d.value));
const olderAvg = mean(older.map(d => d.value));
return Math.round(((recentAvg - olderAvg) / olderAvg) * 100 * 10) / 10;
}
/**
* Smooth data using exponential smoothing
*/
export function exponentialSmoothing(
data: TimeSeriesDataPoint[],
alpha: number = 0.3
): TimeSeriesDataPoint[] {
if (data.length === 0) return [];
const smoothed: TimeSeriesDataPoint[] = [data[0]];
for (let i = 1; i < data.length; i++) {
const smoothedValue = alpha * data[i].value + (1 - alpha) * smoothed[i - 1].value;
smoothed.push({
...data[i],
value: Math.round(smoothedValue * 100) / 100,
});
}
return smoothed;
}
/**
* Generate trend summary text
*/
export function generateTrendSummary(data: TimeSeriesDataPoint[], metricName: string): string {
if (data.length < 2) return `Insufficient data for ${metricName} analysis.`;
const trend = analyzeTrend(data);
const regression = linearRegression(data);
const { peaks, valleys } = findPeaksAndValleys(data);
const momentum = calculateMomentum(data);
let summary = '';
// Overall direction
if (trend.direction === 'up') {
summary += `${metricName} is trending upward with a ${Math.abs(trend.changePercent).toFixed(1)}% increase. `;
} else if (trend.direction === 'down') {
summary += `${metricName} is trending downward with a ${Math.abs(trend.changePercent).toFixed(1)}% decrease. `;
} else {
summary += `${metricName} remains relatively stable. `;
}
// Trend strength
if (regression.rSquared > 0.8) {
summary += 'The trend is strong and consistent. ';
} else if (regression.rSquared > 0.5) {
summary += 'The trend is moderate with some variability. ';
} else {
summary += 'Data shows high variability. ';
}
// Momentum
if (momentum > 10) {
summary += 'Recent acceleration detected. ';
} else if (momentum < -10) {
summary += 'Recent deceleration detected. ';
}
// Notable events
if (peaks.length > 0) {
summary += `${peaks.length} notable peak(s) observed. `;
}
if (valleys.length > 0) {
summary += `${valleys.length} notable dip(s) observed. `;
}
return summary.trim();
}
/**
* Compare two time series for similarity
*/
export function compareTimeSeries(
series1: TimeSeriesDataPoint[],
series2: TimeSeriesDataPoint[]
): {
correlation: number;
leadLag: number;
divergence: number;
} {
// Ensure same length
const minLength = Math.min(series1.length, series2.length);
const s1 = series1.slice(0, minLength).map(d => d.value);
const s2 = series2.slice(0, minLength).map(d => d.value);
// Calculate correlation
const mean1 = mean(s1);
const mean2 = mean(s2);
let numerator = 0, denom1 = 0, denom2 = 0;
for (let i = 0; i < minLength; i++) {
const d1 = s1[i] - mean1;
const d2 = s2[i] - mean2;
numerator += d1 * d2;
denom1 += d1 * d1;
denom2 += d2 * d2;
}
const correlation = denom1 * denom2 === 0 ? 0 : numerator / Math.sqrt(denom1 * denom2);
// Calculate divergence (normalized difference)
const divergence = mean(s1.map((v, i) => Math.abs(v - s2[i]))) / ((mean1 + mean2) / 2);
return {
correlation: Math.round(correlation * 1000) / 1000,
leadLag: 0, // Simplified - full cross-correlation would require more computation
divergence: Math.round(divergence * 1000) / 1000,
};
}
/**
* Get trend confidence level
*/
export function getTrendConfidence(data: TimeSeriesDataPoint[]): {
level: 'high' | 'medium' | 'low';
score: number;
factors: string[];
} {
const factors: string[] = [];
let score = 50;
// Data quantity factor
if (data.length >= 30) {
score += 15;
factors.push('Sufficient data points');
} else if (data.length >= 14) {
score += 10;
factors.push('Moderate data points');
} else {
score -= 10;
factors.push('Limited data points');
}
// Consistency factor
const std = standardDeviation(data.map(d => d.value));
const avg = mean(data.map(d => d.value));
const cv = avg !== 0 ? std / avg : 0;
if (cv < 0.2) {
score += 15;
factors.push('Low variability');
} else if (cv < 0.5) {
score += 5;
factors.push('Moderate variability');
} else {
score -= 10;
factors.push('High variability');
}
// Trend strength
const regression = linearRegression(data);
if (regression.rSquared > 0.7) {
score += 20;
factors.push('Strong trend fit');
} else if (regression.rSquared > 0.4) {
score += 10;
factors.push('Moderate trend fit');
} else {
score -= 5;
factors.push('Weak trend fit');
}
const level = score >= 70 ? 'high' : score >= 50 ? 'medium' : 'low';
return {
level,
score: Math.min(100, Math.max(0, score)),
factors,
};
}
/**
* Calculate year-over-year comparison
*/
export function yearOverYearComparison(
currentPeriod: TimeSeriesDataPoint[],
previousPeriod: TimeSeriesDataPoint[]
): {
currentTotal: number;
previousTotal: number;
change: number;
changePercent: number;
trend: TrendDirection;
} {
const currentTotal = currentPeriod.reduce((sum, d) => sum + d.value, 0);
const previousTotal = previousPeriod.reduce((sum, d) => sum + d.value, 0);
const change = currentTotal - previousTotal;
const changePercent = percentageChange(currentTotal, previousTotal);
return {
currentTotal: Math.round(currentTotal * 100) / 100,
previousTotal: Math.round(previousTotal * 100) / 100,
change: Math.round(change * 100) / 100,
changePercent: Math.round(changePercent * 10) / 10,
trend: changePercent > 5 ? 'up' : changePercent < -5 ? 'down' : 'stable',
};
}

306
lib/analytics/types.ts Normal file
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@ -0,0 +1,306 @@
/**
* Analytics Types for LocalGreenChain
* Defines all types for the Advanced Analytics Dashboard
*/
// Time range options for analytics queries
export type TimeRange = '7d' | '30d' | '90d' | '365d' | 'all';
export interface DateRange {
start: Date;
end: Date;
}
// Generic data point for time series
export interface TimeSeriesDataPoint {
timestamp: string;
value: number;
label?: string;
}
// Analytics overview metrics
export interface AnalyticsOverview {
totalPlants: number;
plantsRegisteredToday: number;
plantsRegisteredThisWeek: number;
plantsRegisteredThisMonth: number;
totalTransportEvents: number;
totalCarbonKg: number;
totalFoodMiles: number;
activeUsers: number;
growthRate: number;
trendsData: TrendData[];
}
// Trend direction indicator
export type TrendDirection = 'up' | 'down' | 'stable';
export interface TrendData {
metric: string;
currentValue: number;
previousValue: number;
change: number;
changePercent: number;
direction: TrendDirection;
period: string;
}
// Plant analytics
export interface PlantAnalytics {
totalPlants: number;
plantsBySpecies: SpeciesDistribution[];
plantsByGeneration: GenerationDistribution[];
registrationsTrend: TimeSeriesDataPoint[];
averageLineageDepth: number;
topGrowers: GrowerStats[];
recentRegistrations: PlantRegistration[];
}
export interface SpeciesDistribution {
species: string;
count: number;
percentage: number;
trend: TrendDirection;
}
export interface GenerationDistribution {
generation: number;
count: number;
percentage: number;
}
export interface GrowerStats {
userId: string;
name: string;
totalPlants: number;
totalSpecies: number;
averageGeneration: number;
}
export interface PlantRegistration {
id: string;
name: string;
species: string;
registeredAt: string;
generation: number;
}
// Transport analytics
export interface TransportAnalytics {
totalEvents: number;
totalDistanceKm: number;
totalCarbonKg: number;
carbonSavedKg: number;
eventsByType: TransportEventDistribution[];
eventsByMethod: TransportMethodDistribution[];
dailyStats: DailyTransportStats[];
averageDistancePerEvent: number;
mostEfficientRoutes: EfficientRoute[];
carbonTrend: TimeSeriesDataPoint[];
}
export interface TransportEventDistribution {
eventType: string;
count: number;
percentage: number;
carbonKg: number;
}
export interface TransportMethodDistribution {
method: string;
count: number;
percentage: number;
distanceKm: number;
carbonKg: number;
efficiency: number;
}
export interface DailyTransportStats {
date: string;
eventCount: number;
distanceKm: number;
carbonKg: number;
}
export interface EfficientRoute {
from: string;
to: string;
method: string;
distanceKm: number;
carbonKg: number;
frequency: number;
}
// Vertical farm analytics
export interface FarmAnalytics {
totalFarms: number;
totalZones: number;
activeBatches: number;
completedBatches: number;
averageYieldKg: number;
resourceUsage: ResourceUsageStats;
performanceByZone: ZonePerformance[];
batchCompletionTrend: TimeSeriesDataPoint[];
yieldPredictions: YieldPrediction[];
topPerformingCrops: CropPerformance[];
}
export interface ResourceUsageStats {
waterLiters: number;
energyKwh: number;
nutrientsKg: number;
waterEfficiency: number;
energyEfficiency: number;
}
export interface ZonePerformance {
zoneId: string;
zoneName: string;
currentCrop: string;
healthScore: number;
yieldKg: number;
efficiency: number;
}
export interface YieldPrediction {
cropType: string;
predictedYieldKg: number;
confidence: number;
harvestDate: string;
}
export interface CropPerformance {
cropType: string;
averageYieldKg: number;
growthDays: number;
successRate: number;
batches: number;
}
// Sustainability analytics
export interface SustainabilityAnalytics {
overallScore: number;
carbonFootprint: CarbonMetrics;
foodMiles: FoodMilesMetrics;
waterUsage: WaterMetrics;
localProduction: LocalProductionMetrics;
goals: SustainabilityGoal[];
trends: SustainabilityTrend[];
}
export interface CarbonMetrics {
totalEmittedKg: number;
totalSavedKg: number;
netImpactKg: number;
reductionPercentage: number;
equivalentTrees: number;
monthlyTrend: TimeSeriesDataPoint[];
}
export interface FoodMilesMetrics {
totalMiles: number;
averageMilesPerPlant: number;
savedMiles: number;
localPercentage: number;
monthlyTrend: TimeSeriesDataPoint[];
}
export interface WaterMetrics {
totalUsedLiters: number;
savedLiters: number;
efficiencyScore: number;
perKgProduce: number;
}
export interface LocalProductionMetrics {
localCount: number;
totalCount: number;
percentage: number;
trend: TrendDirection;
}
export interface SustainabilityGoal {
id: string;
name: string;
target: number;
current: number;
unit: string;
progress: number;
deadline: string;
status: 'on_track' | 'at_risk' | 'behind';
}
export interface SustainabilityTrend {
metric: string;
values: TimeSeriesDataPoint[];
}
// Export options
export interface ExportOptions {
format: 'csv' | 'pdf' | 'json';
dateRange: DateRange;
sections: string[];
includeCharts: boolean;
}
export interface ExportResult {
filename: string;
mimeType: string;
data: string;
generatedAt: string;
}
// Dashboard configuration
export interface DashboardConfig {
refreshInterval: number;
defaultTimeRange: TimeRange;
visibleWidgets: string[];
layout: 'grid' | 'list';
}
// KPI Card configuration
export interface KPICardData {
id: string;
title: string;
value: number | string;
unit?: string;
change?: number;
changePercent?: number;
trend: TrendDirection;
color: 'green' | 'blue' | 'purple' | 'orange' | 'red' | 'teal';
icon?: string;
}
// Chart configuration
export interface ChartConfig {
title: string;
type: 'line' | 'bar' | 'pie' | 'area' | 'heatmap' | 'gauge';
data: any[];
xKey?: string;
yKey?: string;
colors?: string[];
showLegend?: boolean;
showGrid?: boolean;
height?: number;
}
// Filter state for analytics
export interface AnalyticsFilters {
timeRange: TimeRange;
dateRange?: DateRange;
species?: string[];
regions?: string[];
transportMethods?: string[];
farmIds?: string[];
}
// Aggregation types
export type AggregationType = 'sum' | 'avg' | 'min' | 'max' | 'count';
export type GroupByPeriod = 'hour' | 'day' | 'week' | 'month' | 'year';
export interface AggregationConfig {
metric: string;
aggregation: AggregationType;
groupBy?: GroupByPeriod;
filters?: Record<string, any>;
}

2
next.config.js
View file

@ -5,7 +5,7 @@ module.exports = {
defaultLocale: "en",
},
images: {
domains: [process.env.NEXT_IMAGE_DOMAIN],
domains: process.env.NEXT_IMAGE_DOMAIN ? [process.env.NEXT_IMAGE_DOMAIN] : [],
},
async rewrites() {
return [

4
package.json
View file

@ -40,6 +40,8 @@
"@tanstack/react-query": "^4.0.10",
"bcryptjs": "^3.0.3",
"classnames": "^2.3.1",
"d3": "^7.9.0",
"date-fns": "^4.1.0",
"drupal-jsonapi-params": "^1.2.2",
"html-react-parser": "^1.2.7",
"multer": "^2.0.2",
@ -50,6 +52,7 @@
"react": "^17.0.2",
"react-dom": "^17.0.2",
"react-hook-form": "^7.8.6",
"recharts": "^3.4.1",
"sharp": "^0.34.5",
"socket.io": "^4.7.2",
"socket.io-client": "^4.7.2",
@ -60,6 +63,7 @@
"@commitlint/cli": "^18.4.3",
"@commitlint/config-conventional": "^18.4.3",
"@types/bcryptjs": "^3.0.0",
"@types/d3": "^7.4.3",
"@types/jest": "^29.5.0",
"@types/multer": "^2.0.0",
"@types/node": "^17.0.21",

253
pages/analytics/farms.tsx Normal file
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@ -0,0 +1,253 @@
/**
* Farm Analytics Page
* Vertical farm performance and resource analytics
*/
import { useState, useEffect } from 'react';
import Link from 'next/link';
import {
KPICard,
DateRangePicker,
LineChart,
BarChart,
Gauge,
DataTable,
} from '../../components/analytics';
import { TimeRange, FarmAnalytics } from '../../lib/analytics/types';
export default function FarmAnalyticsPage() {
const [timeRange, setTimeRange] = useState<TimeRange>('30d');
const [loading, setLoading] = useState(true);
const [data, setData] = useState<FarmAnalytics | null>(null);
useEffect(() => {
fetchData();
}, [timeRange]);
const fetchData = async () => {
setLoading(true);
try {
const response = await fetch(`/api/analytics/farms?timeRange=${timeRange}`);
const result = await response.json();
setData(result.data);
} catch (error) {
console.error('Failed to fetch farm analytics:', error);
} finally {
setLoading(false);
}
};
const zoneColumns = [
{ key: 'zoneName', header: 'Zone' },
{ key: 'currentCrop', header: 'Crop' },
{
key: 'healthScore',
header: 'Health',
align: 'right' as const,
render: (v: number) => (
<span className={`font-medium ${v >= 90 ? 'text-green-600' : v >= 70 ? 'text-yellow-600' : 'text-red-600'}`}>
{v}%
</span>
),
},
{ key: 'yieldKg', header: 'Yield (kg)', align: 'right' as const, render: (v: number) => v.toFixed(1) },
{ key: 'efficiency', header: 'Efficiency', align: 'right' as const, render: (v: number) => `${v}%` },
];
const cropColumns = [
{ key: 'cropType', header: 'Crop' },
{ key: 'batches', header: 'Batches', align: 'right' as const },
{ key: 'averageYieldKg', header: 'Avg Yield (kg)', align: 'right' as const, render: (v: number) => v.toFixed(1) },
{ key: 'growthDays', header: 'Growth Days', align: 'right' as const },
{
key: 'successRate',
header: 'Success Rate',
align: 'right' as const,
render: (v: number) => (
<span className={`font-medium ${v >= 90 ? 'text-green-600' : v >= 75 ? 'text-yellow-600' : 'text-red-600'}`}>
{v.toFixed(1)}%
</span>
),
},
];
const predictionColumns = [
{ key: 'cropType', header: 'Crop' },
{ key: 'predictedYieldKg', header: 'Predicted Yield', align: 'right' as const, render: (v: number) => `${v.toFixed(1)} kg` },
{ key: 'confidence', header: 'Confidence', align: 'right' as const, render: (v: number) => `${(v * 100).toFixed(0)}%` },
{ key: 'harvestDate', header: 'Harvest Date' },
];
return (
<div className="min-h-screen bg-gradient-to-br from-green-50 to-emerald-100">
{/* Header */}
<div className="bg-gradient-to-r from-emerald-600 to-green-600 text-white">
<div className="max-w-7xl mx-auto px-4 py-8">
<h1 className="text-3xl font-bold">Farm Analytics</h1>
<p className="text-emerald-200 mt-1">Vertical farm performance and resource optimization</p>
</div>
</div>
<div className="max-w-7xl mx-auto px-4 py-8">
{/* Time Range Selector */}
<div className="mb-8">
<DateRangePicker value={timeRange} onChange={setTimeRange} />
</div>
{/* Navigation Tabs */}
<div className="flex space-x-4 mb-8">
<Link href="/analytics">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Overview</a>
</Link>
<Link href="/analytics/plants">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Plants</a>
</Link>
<Link href="/analytics/transport">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Transport</a>
</Link>
<Link href="/analytics/farms">
<a className="px-4 py-2 bg-emerald-500 text-white rounded-lg font-medium">Farms</a>
</Link>
<Link href="/analytics/sustainability">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Sustainability</a>
</Link>
</div>
{/* KPI Cards */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-6 mb-8">
<KPICard
title="Total Farms"
value={data?.totalFarms || 0}
trend="up"
color="green"
loading={loading}
/>
<KPICard
title="Active Zones"
value={data?.totalZones || 0}
trend="stable"
color="blue"
loading={loading}
/>
<KPICard
title="Active Batches"
value={data?.activeBatches || 0}
trend="up"
color="purple"
loading={loading}
/>
<KPICard
title="Avg Yield"
value={data?.averageYieldKg?.toFixed(1) || '0'}
unit="kg/batch"
trend="up"
color="teal"
loading={loading}
/>
</div>
{/* Resource Gauges */}
<div className="grid grid-cols-2 md:grid-cols-4 gap-6 mb-8">
<Gauge
value={data?.resourceUsage?.waterEfficiency || 0}
title="Water Efficiency"
unit="%"
/>
<Gauge
value={data?.resourceUsage?.energyEfficiency || 0}
title="Energy Efficiency"
unit="%"
/>
<Gauge
value={(data?.completedBatches || 0) / ((data?.activeBatches || 1) + (data?.completedBatches || 0)) * 100}
title="Completion Rate"
unit="%"
/>
<Gauge
value={90}
title="Overall Health"
unit="%"
/>
</div>
{/* Resource Usage Stats */}
<div className="bg-white rounded-lg shadow-lg p-6 mb-8">
<h3 className="text-lg font-bold text-gray-900 mb-4">Resource Usage Summary</h3>
<div className="grid grid-cols-1 md:grid-cols-3 gap-6">
<div className="text-center p-4 bg-blue-50 rounded-lg">
<p className="text-3xl font-bold text-blue-600">
{data?.resourceUsage?.waterLiters?.toLocaleString() || 0}
</p>
<p className="text-sm text-gray-500">Water Used (L)</p>
</div>
<div className="text-center p-4 bg-yellow-50 rounded-lg">
<p className="text-3xl font-bold text-yellow-600">
{data?.resourceUsage?.energyKwh?.toLocaleString() || 0}
</p>
<p className="text-sm text-gray-500">Energy Used (kWh)</p>
</div>
<div className="text-center p-4 bg-green-50 rounded-lg">
<p className="text-3xl font-bold text-green-600">
{data?.resourceUsage?.nutrientsKg?.toLocaleString() || 0}
</p>
<p className="text-sm text-gray-500">Nutrients Used (kg)</p>
</div>
</div>
</div>
{/* Charts */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-8">
{data?.batchCompletionTrend && (
<LineChart
data={data.batchCompletionTrend}
xKey="label"
yKey="value"
title="Batch Completions Over Time"
height={300}
/>
)}
{data?.topPerformingCrops && (
<BarChart
data={data.topPerformingCrops}
xKey="cropType"
yKey="averageYieldKg"
title="Average Yield by Crop"
height={300}
/>
)}
</div>
{/* Tables */}
<div className="space-y-6">
{data?.performanceByZone && (
<DataTable
data={data.performanceByZone}
columns={zoneColumns}
title="Zone Performance"
pageSize={6}
/>
)}
{data?.topPerformingCrops && (
<DataTable
data={data.topPerformingCrops}
columns={cropColumns}
title="Crop Performance"
pageSize={6}
/>
)}
{data?.yieldPredictions && (
<DataTable
data={data.yieldPredictions}
columns={predictionColumns}
title="Upcoming Harvest Predictions"
pageSize={5}
/>
)}
</div>
</div>
</div>
);
}

225
pages/analytics/index.tsx Normal file
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@ -0,0 +1,225 @@
/**
* Analytics Dashboard - Main Page
* Comprehensive overview of all analytics data
*/
import { useState, useEffect } from 'react';
import Link from 'next/link';
import {
KPICard,
DateRangePicker,
LineChart,
BarChart,
PieChart,
} from '../../components/analytics';
import { TimeRange, AnalyticsOverview, PlantAnalytics, TransportAnalytics } from '../../lib/analytics/types';
export default function AnalyticsDashboard() {
const [timeRange, setTimeRange] = useState<TimeRange>('30d');
const [loading, setLoading] = useState(true);
const [overview, setOverview] = useState<AnalyticsOverview | null>(null);
const [plantData, setPlantData] = useState<PlantAnalytics | null>(null);
const [transportData, setTransportData] = useState<TransportAnalytics | null>(null);
useEffect(() => {
fetchData();
}, [timeRange]);
const fetchData = async () => {
setLoading(true);
try {
const [overviewRes, plantRes, transportRes] = await Promise.all([
fetch(`/api/analytics/overview?timeRange=${timeRange}`),
fetch(`/api/analytics/plants?timeRange=${timeRange}`),
fetch(`/api/analytics/transport?timeRange=${timeRange}`),
]);
const overviewData = await overviewRes.json();
const plantDataRes = await plantRes.json();
const transportDataRes = await transportRes.json();
setOverview(overviewData.data);
setPlantData(plantDataRes.data);
setTransportData(transportDataRes.data);
} catch (error) {
console.error('Failed to fetch analytics data:', error);
} finally {
setLoading(false);
}
};
const handleExport = (format: 'csv' | 'json') => {
window.open(`/api/analytics/export?format=${format}&timeRange=${timeRange}`, '_blank');
};
return (
<div className="min-h-screen bg-gradient-to-br from-green-50 to-emerald-100">
{/* Header */}
<div className="bg-gradient-to-r from-green-600 to-emerald-600 text-white">
<div className="max-w-7xl mx-auto px-4 py-8">
<div className="flex items-center justify-between">
<div>
<h1 className="text-3xl font-bold">Analytics Dashboard</h1>
<p className="text-green-200 mt-1">
Comprehensive insights into your LocalGreenChain network
</p>
</div>
<div className="flex items-center space-x-4">
<button
onClick={() => handleExport('csv')}
className="px-4 py-2 bg-white/20 hover:bg-white/30 rounded-lg text-sm font-medium transition-colors"
>
Export CSV
</button>
<button
onClick={() => handleExport('json')}
className="px-4 py-2 bg-white/20 hover:bg-white/30 rounded-lg text-sm font-medium transition-colors"
>
Export JSON
</button>
</div>
</div>
</div>
</div>
<div className="max-w-7xl mx-auto px-4 py-8">
{/* Time Range Selector */}
<div className="mb-8">
<DateRangePicker value={timeRange} onChange={setTimeRange} />
</div>
{/* Navigation Tabs */}
<div className="flex space-x-4 mb-8">
<Link href="/analytics">
<a className="px-4 py-2 bg-green-500 text-white rounded-lg font-medium">Overview</a>
</Link>
<Link href="/analytics/plants">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Plants</a>
</Link>
<Link href="/analytics/transport">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Transport</a>
</Link>
<Link href="/analytics/farms">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Farms</a>
</Link>
<Link href="/analytics/sustainability">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Sustainability</a>
</Link>
</div>
{/* KPI Cards */}
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6 mb-8">
<KPICard
title="Total Plants"
value={overview?.totalPlants || 0}
trend={overview?.trendsData?.[0]?.direction || 'stable'}
changePercent={overview?.trendsData?.[0]?.changePercent}
color="green"
loading={loading}
/>
<KPICard
title="Carbon Saved"
value={transportData?.carbonSavedKg?.toFixed(1) || '0'}
unit="kg CO2"
trend="up"
changePercent={12.5}
color="teal"
loading={loading}
/>
<KPICard
title="Food Miles"
value={transportData?.totalDistanceKm?.toFixed(0) || '0'}
unit="km"
trend="down"
changePercent={-8.7}
color="blue"
loading={loading}
/>
<KPICard
title="Active Users"
value={overview?.activeUsers || 0}
trend="up"
changePercent={8.3}
color="purple"
loading={loading}
/>
</div>
{/* Charts Row */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-8">
{/* Plant Registrations Trend */}
{plantData?.registrationsTrend && (
<LineChart
data={plantData.registrationsTrend}
xKey="label"
yKey="value"
title="Plant Registrations Over Time"
height={300}
/>
)}
{/* Species Distribution */}
{plantData?.plantsBySpecies && (
<PieChart
data={plantData.plantsBySpecies}
dataKey="count"
nameKey="species"
title="Plants by Species"
height={300}
/>
)}
</div>
{/* Transport Charts */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-8">
{/* Transport Methods */}
{transportData?.eventsByMethod && (
<BarChart
data={transportData.eventsByMethod}
xKey="method"
yKey="count"
title="Transport Events by Method"
height={300}
horizontal
/>
)}
{/* Carbon Trend */}
{transportData?.carbonTrend && (
<LineChart
data={transportData.carbonTrend}
xKey="label"
yKey="value"
title="Carbon Emissions Trend"
colors={['#ef4444']}
height={300}
/>
)}
</div>
{/* Summary Stats */}
<div className="bg-white rounded-lg shadow-lg p-6">
<h3 className="text-lg font-bold text-gray-900 mb-4">Network Summary</h3>
<div className="grid grid-cols-2 md:grid-cols-4 gap-6">
<div className="text-center p-4 bg-gray-50 rounded-lg">
<p className="text-2xl font-bold text-gray-900">{overview?.plantsRegisteredToday || 0}</p>
<p className="text-sm text-gray-500">Registered Today</p>
</div>
<div className="text-center p-4 bg-gray-50 rounded-lg">
<p className="text-2xl font-bold text-gray-900">{overview?.plantsRegisteredThisWeek || 0}</p>
<p className="text-sm text-gray-500">This Week</p>
</div>
<div className="text-center p-4 bg-gray-50 rounded-lg">
<p className="text-2xl font-bold text-gray-900">{overview?.plantsRegisteredThisMonth || 0}</p>
<p className="text-sm text-gray-500">This Month</p>
</div>
<div className="text-center p-4 bg-gray-50 rounded-lg">
<p className="text-2xl font-bold text-green-600">{overview?.growthRate?.toFixed(1) || 0}%</p>
<p className="text-sm text-gray-500">Growth Rate</p>
</div>
</div>
</div>
</div>
</div>
);
}

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/**
* Plant Analytics Page
* Detailed analytics for plant registrations and lineage
*/
import { useState, useEffect } from 'react';
import Link from 'next/link';
import {
KPICard,
DateRangePicker,
LineChart,
BarChart,
PieChart,
DataTable,
TrendIndicator,
} from '../../components/analytics';
import { TimeRange, PlantAnalytics } from '../../lib/analytics/types';
export default function PlantAnalyticsPage() {
const [timeRange, setTimeRange] = useState<TimeRange>('30d');
const [loading, setLoading] = useState(true);
const [data, setData] = useState<PlantAnalytics | null>(null);
useEffect(() => {
fetchData();
}, [timeRange]);
const fetchData = async () => {
setLoading(true);
try {
const response = await fetch(`/api/analytics/plants?timeRange=${timeRange}`);
const result = await response.json();
setData(result.data);
} catch (error) {
console.error('Failed to fetch plant analytics:', error);
} finally {
setLoading(false);
}
};
const speciesColumns = [
{ key: 'species', header: 'Species' },
{ key: 'count', header: 'Count', align: 'right' as const },
{ key: 'percentage', header: '% Share', align: 'right' as const, render: (v: number) => `${v.toFixed(1)}%` },
{ key: 'trend', header: 'Trend', render: (v: string) => <TrendIndicator direction={v as any} /> },
];
const growerColumns = [
{ key: 'name', header: 'Grower' },
{ key: 'totalPlants', header: 'Plants', align: 'right' as const },
{ key: 'totalSpecies', header: 'Species', align: 'right' as const },
{ key: 'averageGeneration', header: 'Avg Gen', align: 'right' as const, render: (v: number) => v.toFixed(1) },
];
return (
<div className="min-h-screen bg-gradient-to-br from-green-50 to-emerald-100">
{/* Header */}
<div className="bg-gradient-to-r from-green-600 to-emerald-600 text-white">
<div className="max-w-7xl mx-auto px-4 py-8">
<h1 className="text-3xl font-bold">Plant Analytics</h1>
<p className="text-green-200 mt-1">Detailed insights into plant registrations and lineage</p>
</div>
</div>
<div className="max-w-7xl mx-auto px-4 py-8">
{/* Time Range Selector */}
<div className="mb-8">
<DateRangePicker value={timeRange} onChange={setTimeRange} />
</div>
{/* Navigation Tabs */}
<div className="flex space-x-4 mb-8">
<Link href="/analytics">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Overview</a>
</Link>
<Link href="/analytics/plants">
<a className="px-4 py-2 bg-green-500 text-white rounded-lg font-medium">Plants</a>
</Link>
<Link href="/analytics/transport">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Transport</a>
</Link>
<Link href="/analytics/farms">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Farms</a>
</Link>
<Link href="/analytics/sustainability">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Sustainability</a>
</Link>
</div>
{/* KPI Cards */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-6 mb-8">
<KPICard
title="Total Plants"
value={data?.totalPlants || 0}
trend="up"
color="green"
loading={loading}
/>
<KPICard
title="Unique Species"
value={data?.plantsBySpecies?.length || 0}
trend="stable"
color="blue"
loading={loading}
/>
<KPICard
title="Avg Lineage Depth"
value={data?.averageLineageDepth?.toFixed(1) || '0'}
unit="generations"
trend="up"
color="purple"
loading={loading}
/>
<KPICard
title="Top Growers"
value={data?.topGrowers?.length || 0}
trend="stable"
color="teal"
loading={loading}
/>
</div>
{/* Charts */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-8">
{data?.registrationsTrend && (
<LineChart
data={data.registrationsTrend}
xKey="label"
yKey="value"
title="Plant Registrations Over Time"
height={300}
/>
)}
{data?.plantsBySpecies && (
<PieChart
data={data.plantsBySpecies}
dataKey="count"
nameKey="species"
title="Distribution by Species"
height={300}
/>
)}
</div>
{/* Generation Distribution */}
{data?.plantsByGeneration && (
<div className="mb-8">
<BarChart
data={data.plantsByGeneration}
xKey="generation"
yKey="count"
title="Plants by Generation"
height={250}
/>
</div>
)}
{/* Tables */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
{data?.plantsBySpecies && (
<DataTable
data={data.plantsBySpecies}
columns={speciesColumns}
title="Species Breakdown"
pageSize={6}
/>
)}
{data?.topGrowers && (
<DataTable
data={data.topGrowers}
columns={growerColumns}
title="Top Growers"
pageSize={6}
/>
)}
</div>
</div>
</div>
);
}

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/**
* Sustainability Analytics Page
* Environmental impact and sustainability metrics
*/
import { useState, useEffect } from 'react';
import Link from 'next/link';
import {
KPICard,
DateRangePicker,
LineChart,
AreaChart,
Gauge,
DataTable,
TrendIndicator,
} from '../../components/analytics';
import { TimeRange, SustainabilityAnalytics } from '../../lib/analytics/types';
export default function SustainabilityAnalyticsPage() {
const [timeRange, setTimeRange] = useState<TimeRange>('30d');
const [loading, setLoading] = useState(true);
const [data, setData] = useState<SustainabilityAnalytics | null>(null);
useEffect(() => {
fetchData();
}, [timeRange]);
const fetchData = async () => {
setLoading(true);
try {
const response = await fetch(`/api/analytics/sustainability?timeRange=${timeRange}`);
const result = await response.json();
setData(result.data);
} catch (error) {
console.error('Failed to fetch sustainability analytics:', error);
} finally {
setLoading(false);
}
};
const goalColumns = [
{ key: 'name', header: 'Goal' },
{ key: 'current', header: 'Current', align: 'right' as const, render: (v: number, row: any) => `${v} ${row.unit}` },
{ key: 'target', header: 'Target', align: 'right' as const, render: (v: number, row: any) => `${v} ${row.unit}` },
{
key: 'progress',
header: 'Progress',
align: 'right' as const,
render: (v: number) => (
<div className="flex items-center space-x-2">
<div className="w-20 bg-gray-200 rounded-full h-2">
<div
className={`h-2 rounded-full ${v >= 90 ? 'bg-green-500' : v >= 70 ? 'bg-yellow-500' : 'bg-red-500'}`}
style={{ width: `${Math.min(v, 100)}%` }}
/>
</div>
<span className="text-sm">{v}%</span>
</div>
),
},
{
key: 'status',
header: 'Status',
render: (v: string) => (
<span
className={`px-2 py-1 text-xs rounded-full ${
v === 'on_track'
? 'bg-green-100 text-green-700'
: v === 'at_risk'
? 'bg-yellow-100 text-yellow-700'
: 'bg-red-100 text-red-700'
}`}
>
{v.replace('_', ' ')}
</span>
),
},
];
return (
<div className="min-h-screen bg-gradient-to-br from-green-50 to-emerald-100">
{/* Header */}
<div className="bg-gradient-to-r from-green-700 to-emerald-700 text-white">
<div className="max-w-7xl mx-auto px-4 py-8">
<h1 className="text-3xl font-bold">Sustainability Analytics</h1>
<p className="text-green-200 mt-1">Environmental impact and sustainability metrics</p>
</div>
</div>
<div className="max-w-7xl mx-auto px-4 py-8">
{/* Time Range Selector */}
<div className="mb-8">
<DateRangePicker value={timeRange} onChange={setTimeRange} />
</div>
{/* Navigation Tabs */}
<div className="flex space-x-4 mb-8">
<Link href="/analytics">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Overview</a>
</Link>
<Link href="/analytics/plants">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Plants</a>
</Link>
<Link href="/analytics/transport">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Transport</a>
</Link>
<Link href="/analytics/farms">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Farms</a>
</Link>
<Link href="/analytics/sustainability">
<a className="px-4 py-2 bg-green-700 text-white rounded-lg font-medium">Sustainability</a>
</Link>
</div>
{/* Overall Score */}
<div className="bg-gradient-to-r from-green-500 to-emerald-500 rounded-lg p-8 mb-8 text-white">
<div className="flex items-center justify-between">
<div>
<h2 className="text-2xl font-bold">Overall Sustainability Score</h2>
<p className="text-green-100 mt-1">Based on carbon, local production, water, and waste metrics</p>
</div>
<div className="text-center">
<div className="text-6xl font-bold">{data?.overallScore?.toFixed(0) || 0}</div>
<div className="text-green-100">out of 100</div>
</div>
</div>
</div>
{/* KPI Cards */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-6 mb-8">
<KPICard
title="Carbon Saved"
value={data?.carbonFootprint?.totalSavedKg?.toFixed(0) || '0'}
unit="kg CO2"
trend="up"
color="green"
loading={loading}
/>
<KPICard
title="Reduction Rate"
value={data?.carbonFootprint?.reductionPercentage?.toFixed(0) || '0'}
unit="%"
trend="up"
color="teal"
loading={loading}
/>
<KPICard
title="Local Production"
value={data?.localProduction?.percentage?.toFixed(0) || '0'}
unit="%"
trend="up"
color="blue"
loading={loading}
/>
<KPICard
title="Water Efficiency"
value={data?.waterUsage?.efficiencyScore?.toFixed(0) || '0'}
unit="%"
trend="up"
color="purple"
loading={loading}
/>
</div>
{/* Gauges */}
<div className="grid grid-cols-2 md:grid-cols-4 gap-6 mb-8">
<Gauge
value={data?.carbonFootprint?.reductionPercentage || 0}
title="Carbon Reduction"
unit="%"
/>
<Gauge
value={data?.foodMiles?.localPercentage || 0}
title="Local Sourcing"
unit="%"
/>
<Gauge
value={data?.waterUsage?.efficiencyScore || 0}
title="Water Efficiency"
unit="%"
/>
<Gauge
value={data?.overallScore || 0}
title="Sustainability Score"
unit="pts"
/>
</div>
{/* Impact Metrics */}
<div className="bg-white rounded-lg shadow-lg p-6 mb-8">
<h3 className="text-lg font-bold text-gray-900 mb-4">Environmental Impact</h3>
<div className="grid grid-cols-1 md:grid-cols-4 gap-6">
<div className="text-center p-4 bg-green-50 rounded-lg">
<p className="text-3xl font-bold text-green-600">
{data?.carbonFootprint?.equivalentTrees?.toFixed(1) || 0}
</p>
<p className="text-sm text-gray-500">Trees Equivalent</p>
<p className="text-xs text-gray-400 mt-1">CO2 absorption per year</p>
</div>
<div className="text-center p-4 bg-blue-50 rounded-lg">
<p className="text-3xl font-bold text-blue-600">
{data?.foodMiles?.savedMiles?.toLocaleString() || 0}
</p>
<p className="text-sm text-gray-500">Miles Saved</p>
<p className="text-xs text-gray-400 mt-1">vs conventional transport</p>
</div>
<div className="text-center p-4 bg-cyan-50 rounded-lg">
<p className="text-3xl font-bold text-cyan-600">
{data?.waterUsage?.savedLiters?.toLocaleString() || 0}
</p>
<p className="text-sm text-gray-500">Liters Saved</p>
<p className="text-xs text-gray-400 mt-1">Water conservation</p>
</div>
<div className="text-center p-4 bg-purple-50 rounded-lg">
<p className="text-3xl font-bold text-purple-600">
{data?.localProduction?.localCount || 0}
</p>
<p className="text-sm text-gray-500">Local Plants</p>
<p className="text-xs text-gray-400 mt-1">Within 50km radius</p>
</div>
</div>
</div>
{/* Charts */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-8">
{data?.carbonFootprint?.monthlyTrend && (
<AreaChart
data={data.carbonFootprint.monthlyTrend}
xKey="label"
yKey="value"
title="Carbon Emissions Trend"
colors={['#10b981']}
height={300}
/>
)}
{data?.foodMiles?.monthlyTrend && (
<AreaChart
data={data.foodMiles.monthlyTrend}
xKey="label"
yKey="value"
title="Food Miles Trend"
colors={['#3b82f6']}
height={300}
/>
)}
</div>
{/* Sustainability Trends */}
{data?.trends && data.trends.length > 0 && (
<div className="mb-8">
<LineChart
data={data.trends[0].values}
xKey="label"
yKey="value"
title="Sustainability Trend Over Time"
colors={['#10b981', '#3b82f6']}
height={250}
/>
</div>
)}
{/* Goals Table */}
{data?.goals && (
<DataTable
data={data.goals}
columns={goalColumns}
title="Sustainability Goals Progress"
pageSize={10}
showSearch={false}
/>
)}
{/* Tips Section */}
<div className="mt-8 bg-gradient-to-r from-green-50 to-emerald-50 rounded-lg border border-green-200 p-6">
<h3 className="text-lg font-bold text-gray-900 mb-4">Sustainability Recommendations</h3>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="flex items-start space-x-3">
<span className="text-green-500 mt-1">
<svg className="w-5 h-5" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
</span>
<p className="text-sm text-gray-600">Increase local sourcing to reduce transport emissions</p>
</div>
<div className="flex items-start space-x-3">
<span className="text-green-500 mt-1">
<svg className="w-5 h-5" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
</span>
<p className="text-sm text-gray-600">Use electric or bicycle delivery for short distances</p>
</div>
<div className="flex items-start space-x-3">
<span className="text-green-500 mt-1">
<svg className="w-5 h-5" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
</span>
<p className="text-sm text-gray-600">Optimize water usage in vertical farming operations</p>
</div>
<div className="flex items-start space-x-3">
<span className="text-green-500 mt-1">
<svg className="w-5 h-5" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
</span>
<p className="text-sm text-gray-600">Consolidate deliveries to reduce carbon footprint</p>
</div>
</div>
</div>
</div>
</div>
);
}

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/**
* Transport Analytics Page
* Carbon footprint and food miles analysis
*/
import { useState, useEffect } from 'react';
import Link from 'next/link';
import {
KPICard,
DateRangePicker,
LineChart,
BarChart,
PieChart,
AreaChart,
Gauge,
DataTable,
} from '../../components/analytics';
import { TimeRange, TransportAnalytics } from '../../lib/analytics/types';
export default function TransportAnalyticsPage() {
const [timeRange, setTimeRange] = useState<TimeRange>('30d');
const [loading, setLoading] = useState(true);
const [data, setData] = useState<TransportAnalytics | null>(null);
useEffect(() => {
fetchData();
}, [timeRange]);
const fetchData = async () => {
setLoading(true);
try {
const response = await fetch(`/api/analytics/transport?timeRange=${timeRange}`);
const result = await response.json();
setData(result.data);
} catch (error) {
console.error('Failed to fetch transport analytics:', error);
} finally {
setLoading(false);
}
};
const methodColumns = [
{ key: 'method', header: 'Method' },
{ key: 'count', header: 'Events', align: 'right' as const },
{ key: 'distanceKm', header: 'Distance (km)', align: 'right' as const, render: (v: number) => v.toLocaleString() },
{ key: 'carbonKg', header: 'Carbon (kg)', align: 'right' as const, render: (v: number) => v.toFixed(2) },
{
key: 'efficiency',
header: 'Efficiency',
align: 'right' as const,
render: (v: number) => (
<span className={`font-medium ${v >= 80 ? 'text-green-600' : v >= 50 ? 'text-yellow-600' : 'text-red-600'}`}>
{v}%
</span>
),
},
];
const routeColumns = [
{ key: 'from', header: 'From' },
{ key: 'to', header: 'To' },
{ key: 'method', header: 'Method' },
{ key: 'distanceKm', header: 'Distance', align: 'right' as const, render: (v: number) => `${v} km` },
{ key: 'frequency', header: 'Frequency', align: 'right' as const },
];
return (
<div className="min-h-screen bg-gradient-to-br from-green-50 to-emerald-100">
{/* Header */}
<div className="bg-gradient-to-r from-teal-600 to-cyan-600 text-white">
<div className="max-w-7xl mx-auto px-4 py-8">
<h1 className="text-3xl font-bold">Transport Analytics</h1>
<p className="text-teal-200 mt-1">Carbon footprint and food miles analysis</p>
</div>
</div>
<div className="max-w-7xl mx-auto px-4 py-8">
{/* Time Range Selector */}
<div className="mb-8">
<DateRangePicker value={timeRange} onChange={setTimeRange} />
</div>
{/* Navigation Tabs */}
<div className="flex space-x-4 mb-8">
<Link href="/analytics">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Overview</a>
</Link>
<Link href="/analytics/plants">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Plants</a>
</Link>
<Link href="/analytics/transport">
<a className="px-4 py-2 bg-teal-500 text-white rounded-lg font-medium">Transport</a>
</Link>
<Link href="/analytics/farms">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Farms</a>
</Link>
<Link href="/analytics/sustainability">
<a className="px-4 py-2 bg-white hover:bg-gray-50 text-gray-700 rounded-lg font-medium shadow">Sustainability</a>
</Link>
</div>
{/* KPI Cards */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-6 mb-8">
<KPICard
title="Total Events"
value={data?.totalEvents || 0}
trend="up"
color="blue"
loading={loading}
/>
<KPICard
title="Total Distance"
value={data?.totalDistanceKm?.toLocaleString() || '0'}
unit="km"
trend="stable"
color="purple"
loading={loading}
/>
<KPICard
title="Carbon Emitted"
value={data?.totalCarbonKg?.toFixed(1) || '0'}
unit="kg CO2"
trend="down"
color="orange"
loading={loading}
/>
<KPICard
title="Carbon Saved"
value={data?.carbonSavedKg?.toFixed(1) || '0'}
unit="kg CO2"
trend="up"
color="green"
loading={loading}
/>
</div>
{/* Gauges */}
<div className="grid grid-cols-2 md:grid-cols-4 gap-6 mb-8">
<Gauge
value={data?.totalCarbonKg ? (data.carbonSavedKg / (data.totalCarbonKg + data.carbonSavedKg)) * 100 : 0}
title="Carbon Reduction"
unit="%"
/>
<Gauge
value={100 - ((data?.averageDistancePerEvent || 0) / 50) * 100}
title="Distance Efficiency"
unit="%"
/>
<Gauge
value={data?.eventsByMethod?.filter(m => m.efficiency >= 80).length
? (data.eventsByMethod.filter(m => m.efficiency >= 80).reduce((s, m) => s + m.count, 0) / data.totalEvents) * 100
: 0}
title="Green Transport"
unit="%"
/>
<Gauge
value={75}
title="Local Sourcing"
unit="%"
/>
</div>
{/* Charts */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-8">
{data?.carbonTrend && (
<AreaChart
data={data.carbonTrend}
xKey="label"
yKey="value"
title="Carbon Emissions Trend"
colors={['#f59e0b']}
height={300}
/>
)}
{data?.eventsByMethod && (
<BarChart
data={data.eventsByMethod}
xKey="method"
yKey="carbonKg"
title="Carbon by Transport Method"
height={300}
/>
)}
</div>
{/* Event Types Pie Chart */}
{data?.eventsByType && (
<div className="mb-8">
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
<PieChart
data={data.eventsByType}
dataKey="count"
nameKey="eventType"
title="Events by Type"
height={300}
/>
<PieChart
data={data.eventsByMethod}
dataKey="distanceKm"
nameKey="method"
title="Distance by Method"
height={300}
/>
</div>
</div>
)}
{/* Tables */}
<div className="grid grid-cols-1 gap-6">
{data?.eventsByMethod && (
<DataTable
data={data.eventsByMethod}
columns={methodColumns}
title="Transport Method Breakdown"
pageSize={8}
/>
)}
{data?.mostEfficientRoutes && (
<DataTable
data={data.mostEfficientRoutes}
columns={routeColumns}
title="Most Efficient Routes"
pageSize={5}
/>
)}
</div>
</div>
</div>
);
}

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/**
* Analytics Export API
* Exports analytics data in various formats (CSV, JSON)
*/
import type { NextApiRequest, NextApiResponse } from 'next';
import {
getAnalyticsOverview,
getPlantAnalytics,
getTransportAnalytics,
getFarmAnalytics,
getSustainabilityAnalytics,
TimeRange,
AnalyticsFilters,
} from '../../../lib/analytics';
import { format } from 'date-fns';
interface ExportData {
overview?: any;
plants?: any;
transport?: any;
farms?: any;
sustainability?: any;
}
function convertToCSV(data: any[], headers: string[]): string {
const headerRow = headers.join(',');
const rows = data.map(item =>
headers.map(header => {
const value = item[header];
if (value === null || value === undefined) return '';
if (typeof value === 'string' && value.includes(',')) {
return `"${value.replace(/"/g, '""')}"`;
}
return String(value);
}).join(',')
);
return [headerRow, ...rows].join('\n');
}
function generatePlantCSV(plantData: any): string {
const speciesData = plantData.plantsBySpecies.map((s: any) => ({
species: s.species,
count: s.count,
percentage: s.percentage,
trend: s.trend,
}));
return convertToCSV(speciesData, ['species', 'count', 'percentage', 'trend']);
}
function generateTransportCSV(transportData: any): string {
const methodData = transportData.eventsByMethod.map((m: any) => ({
method: m.method,
count: m.count,
distanceKm: m.distanceKm,
carbonKg: m.carbonKg,
efficiency: m.efficiency,
}));
return convertToCSV(methodData, ['method', 'count', 'distanceKm', 'carbonKg', 'efficiency']);
}
function generateSustainabilityCSV(sustainData: any): string {
const goalsData = sustainData.goals.map((g: any) => ({
name: g.name,
target: g.target,
current: g.current,
unit: g.unit,
progress: g.progress,
status: g.status,
}));
return convertToCSV(goalsData, ['name', 'target', 'current', 'unit', 'progress', 'status']);
}
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== 'GET') {
return res.status(405).json({ error: 'Method not allowed' });
}
try {
const exportFormat = (req.query.format as string) || 'json';
const timeRange = (req.query.timeRange as TimeRange) || '30d';
const sections = req.query.sections
? (req.query.sections as string).split(',')
: ['overview', 'plants', 'transport', 'farms', 'sustainability'];
const filters: AnalyticsFilters = { timeRange };
const exportData: ExportData = {};
// Fetch requested sections
if (sections.includes('overview')) {
exportData.overview = await getAnalyticsOverview(filters);
}
if (sections.includes('plants')) {
exportData.plants = await getPlantAnalytics(filters);
}
if (sections.includes('transport')) {
exportData.transport = await getTransportAnalytics(filters);
}
if (sections.includes('farms')) {
exportData.farms = await getFarmAnalytics(filters);
}
if (sections.includes('sustainability')) {
exportData.sustainability = await getSustainabilityAnalytics(filters);
}
const timestamp = format(new Date(), 'yyyy-MM-dd_HH-mm-ss');
if (exportFormat === 'csv') {
// Generate combined CSV
let csvContent = '';
if (exportData.plants) {
csvContent += '# Plant Analytics - Species Distribution\n';
csvContent += generatePlantCSV(exportData.plants);
csvContent += '\n\n';
}
if (exportData.transport) {
csvContent += '# Transport Analytics - By Method\n';
csvContent += generateTransportCSV(exportData.transport);
csvContent += '\n\n';
}
if (exportData.sustainability) {
csvContent += '# Sustainability Goals\n';
csvContent += generateSustainabilityCSV(exportData.sustainability);
}
res.setHeader('Content-Type', 'text/csv');
res.setHeader('Content-Disposition', `attachment; filename=analytics_export_${timestamp}.csv`);
return res.status(200).send(csvContent);
}
// Default: JSON format
res.setHeader('Content-Type', 'application/json');
res.setHeader('Content-Disposition', `attachment; filename=analytics_export_${timestamp}.json`);
return res.status(200).json({
exportedAt: new Date().toISOString(),
timeRange,
sections,
data: exportData,
});
} catch (error) {
console.error('Analytics export error:', error);
res.status(500).json({
success: false,
error: 'Failed to export analytics data',
});
}
}

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/**
* Farm Analytics API
* Returns vertical farm analytics data
*/
import type { NextApiRequest, NextApiResponse } from 'next';
import { getFarmAnalytics, AnalyticsFilters, TimeRange } from '../../../lib/analytics';
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== 'GET') {
return res.status(405).json({ error: 'Method not allowed' });
}
try {
const timeRange = (req.query.timeRange as TimeRange) || '30d';
const farmIds = req.query.farmIds
? (req.query.farmIds as string).split(',')
: undefined;
const filters: AnalyticsFilters = {
timeRange,
farmIds,
};
const farmAnalytics = await getFarmAnalytics(filters);
res.status(200).json({
success: true,
data: farmAnalytics,
meta: {
timeRange,
filters: { farmIds },
generatedAt: new Date().toISOString(),
},
});
} catch (error) {
console.error('Farm analytics error:', error);
res.status(500).json({
success: false,
error: 'Failed to fetch farm analytics',
});
}
}

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/**
* Analytics Overview API
* Returns aggregated overview metrics for the dashboard
*/
import type { NextApiRequest, NextApiResponse } from 'next';
import { getAnalyticsOverview, AnalyticsFilters, TimeRange } from '../../../lib/analytics';
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== 'GET') {
return res.status(405).json({ error: 'Method not allowed' });
}
try {
const timeRange = (req.query.timeRange as TimeRange) || '30d';
const filters: AnalyticsFilters = {
timeRange,
};
const overview = await getAnalyticsOverview(filters);
res.status(200).json({
success: true,
data: overview,
meta: {
timeRange,
generatedAt: new Date().toISOString(),
},
});
} catch (error) {
console.error('Analytics overview error:', error);
res.status(500).json({
success: false,
error: 'Failed to fetch analytics overview',
});
}
}

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/**
* Plant Analytics API
* Returns plant-specific analytics data
*/
import type { NextApiRequest, NextApiResponse } from 'next';
import { getPlantAnalytics, AnalyticsFilters, TimeRange } from '../../../lib/analytics';
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== 'GET') {
return res.status(405).json({ error: 'Method not allowed' });
}
try {
const timeRange = (req.query.timeRange as TimeRange) || '30d';
const species = req.query.species ? (req.query.species as string).split(',') : undefined;
const filters: AnalyticsFilters = {
timeRange,
species,
};
const plantAnalytics = await getPlantAnalytics(filters);
res.status(200).json({
success: true,
data: plantAnalytics,
meta: {
timeRange,
filters: { species },
generatedAt: new Date().toISOString(),
},
});
} catch (error) {
console.error('Plant analytics error:', error);
res.status(500).json({
success: false,
error: 'Failed to fetch plant analytics',
});
}
}

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/**
* Sustainability Analytics API
* Returns environmental impact and sustainability metrics
*/
import type { NextApiRequest, NextApiResponse } from 'next';
import { getSustainabilityAnalytics, AnalyticsFilters, TimeRange } from '../../../lib/analytics';
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== 'GET') {
return res.status(405).json({ error: 'Method not allowed' });
}
try {
const timeRange = (req.query.timeRange as TimeRange) || '30d';
const filters: AnalyticsFilters = {
timeRange,
};
const sustainabilityAnalytics = await getSustainabilityAnalytics(filters);
res.status(200).json({
success: true,
data: sustainabilityAnalytics,
meta: {
timeRange,
generatedAt: new Date().toISOString(),
},
});
} catch (error) {
console.error('Sustainability analytics error:', error);
res.status(500).json({
success: false,
error: 'Failed to fetch sustainability analytics',
});
}
}

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/**
* Transport Analytics API
* Returns transport and carbon footprint analytics
*/
import type { NextApiRequest, NextApiResponse } from 'next';
import { getTransportAnalytics, AnalyticsFilters, TimeRange } from '../../../lib/analytics';
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== 'GET') {
return res.status(405).json({ error: 'Method not allowed' });
}
try {
const timeRange = (req.query.timeRange as TimeRange) || '30d';
const transportMethods = req.query.methods
? (req.query.methods as string).split(',')
: undefined;
const filters: AnalyticsFilters = {
timeRange,
transportMethods,
};
const transportAnalytics = await getTransportAnalytics(filters);
res.status(200).json({
success: true,
data: transportAnalytics,
meta: {
timeRange,
filters: { transportMethods },
generatedAt: new Date().toISOString(),
},
});
} catch (error) {
console.error('Transport analytics error:', error);
res.status(500).json({
success: false,
error: 'Failed to fetch transport analytics',
});
}
}

1
tsconfig.json
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@ -5,6 +5,7 @@
"allowJs": true,
"skipLibCheck": true,
"strict": false,
"downlevelIteration": true,
"forceConsistentCasingInFileNames": true,
"noEmit": true,
"esModuleInterop": true,