From b37aaeb4d4bb230bb43e7f02d4b6206bf3566faf Mon Sep 17 00:00:00 2001 From: Florian Egger Date: Thu, 7 May 2026 20:53:28 +0200 Subject: [PATCH 1/4] Add semantic cache support using ChromaDB --- package-lock.json | 666 +++++++++++++++++++----------- package.json | 5 +- src/chat-view.ts | 20 +- src/constants.ts | 6 + src/main.ts | 11 + src/ollama-client.ts | 68 ++- src/semantic-cache.ts | 107 +++++ src/types.ts | 8 + tests/ollama-client-cache.test.ts | 441 ++++++++++++++++++++ tests/semantic-cache.test.ts | 267 ++++++++++++ 10 files changed, 1343 insertions(+), 256 deletions(-) create mode 100644 src/semantic-cache.ts create mode 100644 tests/ollama-client-cache.test.ts create mode 100644 tests/semantic-cache.test.ts diff --git a/package-lock.json b/package-lock.json index 909c136..b0c5e89 100755 --- a/package-lock.json +++ b/package-lock.json @@ -9,17 +9,18 @@ "version": "1.0.0", "license": "MIT", "dependencies": { - "jest-environment-jsdom": "^30.3.0", + "chromadb": "^1.5.3", "node-fetch": "^3.3.2", "obsidian": "^1.4.11" }, "devDependencies": { "@types/jest": "^29.5.14", "@types/node": "^20.11.19", - "@typescript-eslint/eslint-plugin": "^6.19.1", - "@typescript-eslint/parser": "^6.19.1", + "@typescript-eslint/eslint-plugin": "^8.59.2", + "@typescript-eslint/parser": "^8.59.2", "eslint": "^8.56.0", "jest": "^29.7.0", + "jest-environment-jsdom": "^30.3.0", "prettier": "^3.2.5", "ts-jest": "^29.1.2", "typescript": "^5.3.3" @@ -29,6 +30,7 @@ "version": "3.2.0", "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-3.2.0.tgz", "integrity": "sha512-K1A6z8tS3XsmCMM86xoWdn7Fkdn9m6RSVtocUrJYIwZnFVkng/PvkEoWtOWmP+Scc6saYWHWZYbndEEXxl24jw==", + "dev": true, "license": "MIT", "dependencies": { "@csstools/css-calc": "^2.1.3", @@ -42,12 +44,14 @@ "version": "10.4.3", "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz", "integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==", + "dev": true, "license": "ISC" }, "node_modules/@babel/code-frame": { "version": "7.29.0", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz", "integrity": "sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==", + "dev": true, "license": "MIT", "dependencies": { "@babel/helper-validator-identifier": "^7.28.5", @@ -219,6 +223,7 @@ "version": "7.28.5", "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz", "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==", + "dev": true, "license": "MIT", "engines": { "node": ">=6.9.0" @@ -585,6 +590,7 @@ "version": "5.1.0", "resolved": "https://registry.npmjs.org/@csstools/color-helpers/-/color-helpers-5.1.0.tgz", "integrity": "sha512-S11EXWJyy0Mz5SYvRmY8nJYTFFd1LCNV+7cXyAgQtOOuzb4EsgfqDufL+9esx72/eLhsRdGZwaldu/h+E4t4BA==", + "dev": true, "funding": [ { "type": "github", @@ -604,6 +610,7 @@ "version": "2.1.4", "resolved": "https://registry.npmjs.org/@csstools/css-calc/-/css-calc-2.1.4.tgz", "integrity": "sha512-3N8oaj+0juUw/1H3YwmDDJXCgTB1gKU6Hc/bB502u9zR0q2vd786XJH9QfrKIEgFlZmhZiq6epXl4rHqhzsIgQ==", + "dev": true, "funding": [ { "type": "github", @@ -627,6 +634,7 @@ "version": "3.1.0", "resolved": "https://registry.npmjs.org/@csstools/css-color-parser/-/css-color-parser-3.1.0.tgz", "integrity": "sha512-nbtKwh3a6xNVIp/VRuXV64yTKnb1IjTAEEh3irzS+HkKjAOYLTGNb9pmVNntZ8iVBHcWDA2Dof0QtPgFI1BaTA==", + "dev": true, "funding": [ { "type": "github", @@ -654,6 +662,7 @@ "version": "3.0.5", "resolved": "https://registry.npmjs.org/@csstools/css-parser-algorithms/-/css-parser-algorithms-3.0.5.tgz", "integrity": "sha512-DaDeUkXZKjdGhgYaHNJTV9pV7Y9B3b644jCLs9Upc3VeNGg6LWARAT6O+Q+/COo+2gg/bM5rhpMAtf70WqfBdQ==", + "dev": true, "funding": [ { "type": "github", @@ -676,6 +685,7 @@ "version": "3.0.4", "resolved": 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"resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz", "integrity": "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==", + "dev": true, "license": "ISC" }, "node_modules/picomatch": { @@ -5288,6 +5393,7 @@ "version": "2.3.1", "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz", "integrity": "sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg==", + "dev": true, "license": "MIT", "engines": { "node": ">=6" @@ -5335,6 +5441,7 @@ "version": "18.3.1", "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz", "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==", + "dev": true, "license": "MIT" }, "node_modules/require-directory": { @@ -5444,6 +5551,7 @@ "version": "0.8.0", "resolved": "https://registry.npmjs.org/rrweb-cssom/-/rrweb-cssom-0.8.0.tgz", "integrity": "sha512-guoltQEx+9aMf2gDZ0s62EcV8lsXR+0w8915TC3ITdn2YueuNjdAYh/levpU9nFaoChh9RUS5ZdQMrKfVEN9tw==", + "dev": true, "license": "MIT" }, "node_modules/run-parallel": { @@ -5474,12 +5582,14 @@ "version": "2.1.2", "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz", "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==", + "dev": true, "license": "MIT" }, "node_modules/saxes": { "version": "6.0.0", "resolved": "https://registry.npmjs.org/saxes/-/saxes-6.0.0.tgz", "integrity": "sha512-xAg7SOnEhrm5zI3puOOKyy1OMcMlIJZYNJY7xLBwSze0UjhPLnWfj2GF2EpT0jmzaJKIWKHLsaSSajf35bcYnA==", + "dev": true, "license": "ISC", "dependencies": { "xmlchars": "^2.2.0" @@ -5542,6 +5652,7 @@ "version": "3.0.0", "resolved": "https://registry.npmjs.org/slash/-/slash-3.0.0.tgz", "integrity": "sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q==", + "dev": true, "license": "MIT", "engines": { "node": ">=8" @@ -5579,6 +5690,7 @@ "version": "2.0.6", "resolved": "https://registry.npmjs.org/stack-utils/-/stack-utils-2.0.6.tgz", "integrity": "sha512-XlkWvfIm6RmsWtNJx+uqtKLS8eqFbxUg0ZzLXqY0caEy9l7hruX8IpiDnjsLavoBgqCCR71TqWO8MaXYheJ3RQ==", + "dev": true, "license": "MIT", "dependencies": { "escape-string-regexp": "^2.0.0" @@ -5591,6 +5703,7 @@ "version": "2.0.0", "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-2.0.0.tgz", "integrity": "sha512-UpzcLCXolUWcNu5HtVMHYdXJjArjsF9C0aNnquZYY4uW/Vu0miy5YoWvbV345HauVvcAUnpRuhMMcqTcGOY2+w==", + "dev": true, "license": "MIT", "engines": { "node": ">=8" @@ -5614,7 +5727,6 @@ "version": "4.2.3", "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", - "dev": true, "license": "MIT", "dependencies": { "emoji-regex": "^8.0.0", @@ -5629,7 +5741,6 @@ "version": "6.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", - "dev": true, "license": "MIT", "dependencies": { "ansi-regex": "^5.0.1" @@ -5682,6 +5793,7 @@ "version": "7.2.0", "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz", "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==", + "dev": true, "license": "MIT", "dependencies": { "has-flag": "^4.0.0" @@ -5707,6 +5819,7 @@ "version": "3.2.4", "resolved": "https://registry.npmjs.org/symbol-tree/-/symbol-tree-3.2.4.tgz", "integrity": "sha512-9QNk5KwDF+Bvz+PyObkmSYjI5ksVUYtjW7AU22r2NKcfLJcXp96hkDWU3+XndOsUb+AQ9QhfzfCT2O+CNWT5Tw==", + "dev": true, "license": "MIT" }, "node_modules/test-exclude": { @@ -5755,10 +5868,59 @@ "dev": true, "license": "MIT" }, + "node_modules/tinyglobby": { + "version": "0.2.16", + "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.16.tgz", + "integrity": "sha512-pn99VhoACYR8nFHhxqix+uvsbXineAasWm5ojXoN8xEwK5Kd3/TrhNn1wByuD52UxWRLy8pu+kRMniEi6Eq9Zg==", + "dev": true, + "license": "MIT", + "dependencies": { + "fdir": "^6.5.0", + "picomatch": "^4.0.4" + }, + "engines": { + "node": ">=12.0.0" + }, + "funding": { + "url": "https://github.com/sponsors/SuperchupuDev" + } + }, + "node_modules/tinyglobby/node_modules/fdir": { + "version": "6.5.0", + "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.5.0.tgz", + "integrity": "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=12.0.0" + }, + "peerDependencies": { + "picomatch": "^3 || ^4" + }, + "peerDependenciesMeta": { + "picomatch": { + "optional": true + } + } + }, + "node_modules/tinyglobby/node_modules/picomatch": { + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz", + "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/jonschlinkert" + } + }, "node_modules/tldts": { "version": "6.1.86", "resolved": "https://registry.npmjs.org/tldts/-/tldts-6.1.86.tgz", "integrity": "sha512-WMi/OQ2axVTf/ykqCQgXiIct+mSQDFdH2fkwhPwgEwvJ1kSzZRiinb0zF2Xb8u4+OqPChmyI6MEu4EezNJz+FQ==", + "dev": true, "license": "MIT", "dependencies": { "tldts-core": "^6.1.86" @@ -5771,6 +5933,7 @@ "version": "6.1.86", "resolved": "https://registry.npmjs.org/tldts-core/-/tldts-core-6.1.86.tgz", "integrity": "sha512-Je6p7pkk+KMzMv2XXKmAE3McmolOQFdxkKw0R8EYNr7sELW46JqnNeTX8ybPiQgvg1ymCoF8LXs5fzFaZvJPTA==", + "dev": true, "license": "MIT" }, "node_modules/tmpl": { @@ -5797,6 +5960,7 @@ "version": "5.1.2", "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-5.1.2.tgz", "integrity": "sha512-FVDYdxtnj0G6Qm/DhNPSb8Ju59ULcup3tuJxkFb5K8Bv2pUXILbf0xZWU8PX8Ov19OXljbUyveOFwRMwkXzO+A==", + "dev": true, "license": "BSD-3-Clause", "dependencies": { "tldts": "^6.1.32" @@ -5809,6 +5973,7 @@ "version": "5.1.1", "resolved": "https://registry.npmjs.org/tr46/-/tr46-5.1.1.tgz", "integrity": "sha512-hdF5ZgjTqgAntKkklYw0R03MG2x/bSzTtkxmIRw/sTNV8YXsCJ1tfLAX23lhxhHJlEf3CRCOCGGWw3vI3GaSPw==", + "dev": true, "license": "MIT", "dependencies": { "punycode": "^2.3.1" @@ -5818,16 +5983,16 @@ } }, "node_modules/ts-api-utils": { - "version": "1.4.3", - "resolved": "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-1.4.3.tgz", - "integrity": "sha512-i3eMG77UTMD0hZhgRS562pv83RC6ukSAC2GMNWc+9dieh/+jDM5u5YG+NHX6VNDRHQcHwmsTHctP9LhbC3WxVw==", + "version": "2.5.0", + "resolved": "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-2.5.0.tgz", + "integrity": "sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==", "dev": true, "license": "MIT", "engines": { - "node": ">=16" + "node": ">=18.12" }, "peerDependencies": { - "typescript": ">=4.2.0" + "typescript": ">=4.8.4" } }, "node_modules/ts-jest": { @@ -5913,6 +6078,7 @@ "version": "4.0.8", "resolved": "https://registry.npmjs.org/type-detect/-/type-detect-4.0.8.tgz", "integrity": "sha512-0fr/mIH1dlO+x7TlcMy+bIDqKPsw/70tVyeHW787goQjhmqaZe10uwLujubK9q9Lg6Fiho1KUKDYz0Z7k7g5/g==", + "dev": true, "license": "MIT", "engines": { "node": ">=4" @@ -5963,6 +6129,7 @@ "version": "6.21.0", "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz", "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==", + "dev": true, "license": "MIT" }, "node_modules/update-browserslist-db": { @@ -6032,6 +6199,7 @@ "version": "5.0.0", "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-5.0.0.tgz", "integrity": "sha512-o8qghlI8NZHU1lLPrpi2+Uq7abh4GGPpYANlalzWxyWteJOCsr/P+oPBA49TOLu5FTZO4d3F9MnWJfiMo4BkmA==", + "dev": true, "license": "MIT", "dependencies": { "xml-name-validator": "^5.0.0" @@ -6063,6 +6231,7 @@ "version": "7.0.0", "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-7.0.0.tgz", "integrity": "sha512-VwddBukDzu71offAQR975unBIGqfKZpM+8ZX6ySk8nYhVoo5CYaZyzt3YBvYtRtO+aoGlqxPg/B87NGVZ/fu6g==", + "dev": true, "license": "BSD-2-Clause", "engines": { "node": ">=12" @@ -6073,6 +6242,7 @@ "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-3.1.1.tgz", "integrity": "sha512-6qN4hJdMwfYBtE3YBTTHhoeuUrDBPZmbQaxWAqSALV/MeEnR5z1xd8UKud2RAkFoPkmB+hli1TZSnyi84xz1vQ==", "deprecated": "Use @exodus/bytes instead for a more spec-conformant and faster implementation", + "dev": true, "license": "MIT", "dependencies": { "iconv-lite": "0.6.3" @@ -6081,10 +6251,17 @@ "node": ">=18" } }, + "node_modules/whatwg-fetch": { + "version": "3.6.20", + "resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-3.6.20.tgz", + "integrity": "sha512-EqhiFU6daOA8kpjOWTL0olhVOF3i7OrFzSYiGsEMB8GcXS+RrzauAERX65xMeNWVqxA6HXH2m69Z9LaKKdisfg==", + "license": "MIT" + }, "node_modules/whatwg-mimetype": { "version": "4.0.0", "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-4.0.0.tgz", "integrity": "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg==", + "dev": true, "license": "MIT", "engines": { "node": ">=18" @@ -6094,6 +6271,7 @@ "version": "14.2.0", "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-14.2.0.tgz", "integrity": "sha512-De72GdQZzNTUBBChsXueQUnPKDkg/5A5zp7pFDuQAj5UFoENpiACU0wlCvzpAGnTkj++ihpKwKyYewn/XNUbKw==", + "dev": true, "license": "MIT", "dependencies": { "tr46": "^5.1.0", @@ -6140,7 +6318,6 @@ "version": "7.0.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz", "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==", - "dev": true, "license": "MIT", "dependencies": { "ansi-styles": "^4.0.0", @@ -6179,6 +6356,7 @@ "version": "8.20.0", "resolved": "https://registry.npmjs.org/ws/-/ws-8.20.0.tgz", "integrity": "sha512-sAt8BhgNbzCtgGbt2OxmpuryO63ZoDk/sqaB/znQm94T4fCEsy/yV+7CdC1kJhOU9lboAEU7R3kquuycDoibVA==", + "dev": true, "license": "MIT", "engines": { "node": ">=10.0.0" @@ -6200,6 +6378,7 @@ "version": "5.0.0", "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-5.0.0.tgz", "integrity": "sha512-EvGK8EJ3DhaHfbRlETOWAS5pO9MZITeauHKJyb8wyajUfQUenkIg2MvLDTZ4T/TgIcm3HU0TFBgWWboAZ30UHg==", + "dev": true, "license": "Apache-2.0", "engines": { "node": ">=18" @@ -6209,6 +6388,7 @@ "version": "2.2.0", "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz", "integrity": "sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw==", + "dev": true, "license": "MIT" }, "node_modules/y18n": { diff --git a/package.json b/package.json index c9a4d22..ca12eb3 100755 --- a/package.json +++ b/package.json @@ -22,8 +22,8 @@ "devDependencies": { "@types/jest": "^29.5.14", "@types/node": "^20.11.19", - "@typescript-eslint/eslint-plugin": "^6.19.1", - "@typescript-eslint/parser": "^6.19.1", + "@typescript-eslint/eslint-plugin": "^8.59.2", + "@typescript-eslint/parser": "^8.59.2", "eslint": "^8.56.0", "jest": "^29.7.0", "jest-environment-jsdom": "^30.3.0", @@ -32,6 +32,7 @@ "typescript": "^5.3.3" }, "dependencies": { + "chromadb": "^1.5.3", "node-fetch": "^3.3.2", "obsidian": "^1.4.11" } diff --git a/src/chat-view.ts b/src/chat-view.ts index 0009c02..8a294fd 100755 --- a/src/chat-view.ts +++ b/src/chat-view.ts @@ -54,14 +54,24 @@ export class ChatView extends ItemView { constructor(leaf: WorkspaceLeaf, settings: PluginSettings) { super(leaf); this.settings = settings; - this.ollamaClient = new OllamaClient(settings.ollamaUrl, settings.model); + this.ollamaClient = new OllamaClient( + settings.ollamaUrl, + settings.model, + undefined, + settings.cacheConfig + ); this.vaultIndexer = new VaultIndexer(this.app.vault); this.toolExecutor = new ToolExecutor(this.app.vault, this.app); } public updateSettings(newSettings: PluginSettings): void { this.settings = newSettings; - this.ollamaClient = new OllamaClient(newSettings.ollamaUrl, newSettings.model); + this.ollamaClient = new OllamaClient( + newSettings.ollamaUrl, + newSettings.model, + undefined, + newSettings.cacheConfig + ); } getViewType(): string { @@ -72,18 +82,18 @@ export class ChatView extends ItemView { return 'Ollama Chat'; } - onOpen(): Promise { + async onOpen(): Promise { + await this.ollamaClient.initializeCache(); this.render(); this.removeEventListeners(); // Clean up any existing listeners before reattaching this.setupEventListeners(); - return Promise.resolve(); } public onSettingsChange(newSettings: PluginSettings): void { this.updateSettings(newSettings); } - onClose(): Promise { + async onClose(): Promise { this.ollamaClient.cancelStream(); this.removeEventListeners(); this.cleanupStreamingResources(); diff --git a/src/constants.ts b/src/constants.ts index cf13341..85626bf 100644 --- a/src/constants.ts +++ b/src/constants.ts @@ -6,4 +6,10 @@ export const DEFAULT_SETTINGS = { vaultSearchLimit: 3, maxMessageHistory: 50, lastIndexTime: 0, + cacheConfig: { + enabled: false, + similarityThreshold: 0.85, + collectionName: 'ollama_semantic_cache', + embeddingModel: 'nomic-embed-text', + }, }; diff --git a/src/main.ts b/src/main.ts index f46518c..3b57a6c 100755 --- a/src/main.ts +++ b/src/main.ts @@ -141,6 +141,17 @@ class OllamaSettingTab extends PluginSettingTab { } }) ); + + new Setting(container) + .setName('Enable Semantic Cache') + .setDesc('Cache responses semantically to speed up repeated queries') + .addToggle((toggle) => + toggle.setValue(this.plugin.settings.cacheConfig.enabled).onChange(async (value) => { + this.plugin.settings.cacheConfig.enabled = value; + await this.plugin.saveSettings(); + this.plugin.notifyChatViews(); + }) + ); } hide(): void { diff --git a/src/ollama-client.ts b/src/ollama-client.ts index 3c4dae3..1e0d5fe 100644 --- a/src/ollama-client.ts +++ b/src/ollama-client.ts @@ -3,6 +3,7 @@ import type { OllamaMessage, OllamaTool } from './types'; import { ApiError } from './types'; import { Logger } from './utils'; +import { SemanticCacheService, CacheConfig } from './semantic-cache'; interface OllamaChatResponse { message?: Partial; @@ -14,11 +15,22 @@ export class OllamaClient { private fetchFn: typeof fetch; private readonly maxRetries: number = 3; private currentStreamController: AbortController | null = null; + private cacheService?: SemanticCacheService; - constructor(baseURL: string, model: string, fetchFn?: typeof fetch) { + constructor(baseURL: string, model: string, fetchFn?: typeof fetch, cacheConfig?: CacheConfig) { this.baseURL = baseURL; this.model = model; this.fetchFn = fetchFn ?? fetch; + + if (cacheConfig?.enabled) { + this.cacheService = new SemanticCacheService(baseURL, cacheConfig); + } + } + + async initializeCache(): Promise { + if (this.cacheService) { + await this.cacheService.initialize(); + } } cancelStream(): void { @@ -32,7 +44,32 @@ export class OllamaClient { messages: OllamaMessage[], tools: OllamaTool[] = [] ): AsyncGenerator { - yield* this.streamChatWithRetry(messages, tools, 0); + // Bypass cache if tools are involved to prevent state corruption + if (tools.length > 0) { + yield* this.streamChatWithRetry(messages, tools, 0); + return; + } + + const lastUserMsg = [...messages].reverse().find((m) => m.role === 'user'); + if (lastUserMsg && this.cacheService) { + const cached = await this.cacheService.getCache(lastUserMsg.content); + if (cached) { + yield { role: 'assistant', content: cached, tool_calls: [] }; + return; + } + } + + const chunks: OllamaMessage[] = []; + for await (const chunk of this.streamChatWithRetry(messages, tools, 0)) { + chunks.push(chunk); + yield chunk; + } + + // Populate cache in background after successful stream + if (this.cacheService && lastUserMsg) { + const fullContent = chunks.map((c) => c.content).join(''); + void this.cacheService.setCache(lastUserMsg.content, fullContent); + } } async streamChatAsPromise( @@ -46,6 +83,29 @@ export class OllamaClient { return chunks; } + async chat(messages: OllamaMessage[], tools: OllamaTool[] = []): Promise { + // Bypass cache if tools are involved + if (tools.length > 0) { + return this.chatWithRetry(messages, tools, 0); + } + + const lastUserMsg = [...messages].reverse().find((m) => m.role === 'user'); + if (lastUserMsg && this.cacheService) { + const cached = await this.cacheService.getCache(lastUserMsg.content); + if (cached) { + return { role: 'assistant', content: cached, tool_calls: [] }; + } + } + + const response = await this.chatWithRetry(messages, tools, 0); + + if (this.cacheService && lastUserMsg) { + void this.cacheService.setCache(lastUserMsg.content, response.content); + } + + return response; + } + private async *streamChatWithRetry( messages: OllamaMessage[], tools: OllamaTool[] = [], @@ -200,10 +260,6 @@ export class OllamaClient { } } - async chat(messages: OllamaMessage[], tools: OllamaTool[] = []): Promise { - return this.chatWithRetry(messages, tools, 0); - } - private async chatWithRetry( messages: OllamaMessage[], tools: OllamaTool[] = [], diff --git a/src/semantic-cache.ts b/src/semantic-cache.ts new file mode 100644 index 0000000..b95f286 --- /dev/null +++ b/src/semantic-cache.ts @@ -0,0 +1,107 @@ +// src/semantic-cache.ts + +import { ChromaClient } from 'chromadb'; +import { Logger } from './utils'; +import { CacheConfig } from './types'; + +export class SemanticCacheService { + private client: ChromaClient; + private collection: ReturnType | null = null; + private config: CacheConfig; + private ollamaURL: string; + + constructor(ollamaURL: string, config: CacheConfig) { + this.ollamaURL = ollamaURL.replace(/\/+$/, ''); + this.config = config; + this.client = new ChromaClient({ path: 'http://localhost:8000' }); + } + + async initialize() { + if (!this.config.enabled) return; + + try { + this.collection = await this.client.getOrCreateCollection({ + name: this.config.collectionName, + metadata: { 'hnsw:space': 'cosine' }, + }); + Logger.info(`Semantic cache initialized: ${this.config.collectionName}`, 'semantic-cache'); + } catch (error) { + Logger.error(`Failed to initialize semantic cache: ${String(error)}`, 'semantic-cache'); + } + } + + private async getEmbedding(text: string): Promise { + try { + const response = await fetch(`${this.ollamaURL}/api/embeddings`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + model: this.config.embeddingModel, + prompt: text, + }), + }); + + if (!response.ok) { + throw new Error(`Embedding failed with status ${response.status}`); + } + + const data = await response.json(); + return data.embedding; + } catch (error) { + Logger.warn(`Failed to generate embedding: ${String(error)}`, 'semantic-cache'); + return []; + } + } + + async getCache(prompt: string): Promise { + if (!this.collection || !this.config.enabled || !prompt.trim()) { + return null; + } + + try { + const embedding = await this.getEmbedding(prompt); + if (!embedding.length) return null; + + const results = await this.collection.query({ + queryEmbeddings: [embedding], + nResults: 1, + include: ['metadatas', 'distances'], + }); + + // Cosine distance = 1 - cosine_similarity + // We want distance < (1 - threshold) + if ( + results.distances && + results.distances[0] && + results.distances[0][0] < 1 - this.config.similarityThreshold + ) { + Logger.debug('Semantic cache hit', 'semantic-cache'); + return results.metadatas?.[0]?.[0]?.fullResponse ?? null; + } + } catch (error) { + Logger.warn(`Cache lookup failed: ${String(error)}`, 'semantic-cache'); + } + + return null; + } + + async setCache(prompt: string, response: string): Promise { + if (!this.collection || !this.config.enabled || !prompt.trim() || !response.trim()) { + return; + } + + try { + const embedding = await this.getEmbedding(prompt); + if (!embedding.length) return; + + await this.collection.add({ + ids: [crypto.randomUUID()], + embeddings: [embedding], + metadatas: [{ fullResponse: response }], + }); + Logger.debug('Cached new response', 'semantic-cache'); + } catch (error) { + Logger.warn(`Cache write failed: ${String(error)}`, 'semantic-cache'); + } + } +} diff --git a/src/types.ts b/src/types.ts index e613a6f..f82099f 100644 --- a/src/types.ts +++ b/src/types.ts @@ -90,12 +90,20 @@ export class PathValidationError extends OllamaError { // Plugin Configuration // ============================================================ +export interface CacheConfig { + enabled: boolean; + similarityThreshold: number; + collectionName: string; + embeddingModel: string; +} + export interface PluginSettings { ollamaUrl: string; model: string; vaultSearchLimit: number; maxMessageHistory: number; lastIndexTime: number; + cacheConfig: CacheConfig; } // ============================================================ diff --git a/tests/ollama-client-cache.test.ts b/tests/ollama-client-cache.test.ts new file mode 100644 index 0000000..efc4107 --- /dev/null +++ b/tests/ollama-client-cache.test.ts @@ -0,0 +1,441 @@ +// tests/ollama-client-cache.test.ts + +import { OllamaMessage, OllamaTool, CacheConfig } from '../src/types'; + +// Create mock functions for the cache service +const mockInitialize = jest.fn().mockResolvedValue(undefined); +const mockGetCache = jest.fn().mockResolvedValue(null); +const mockSetCache = jest.fn().mockResolvedValue(undefined); + +// Mock the semantic cache service BEFORE importing OllamaClient +jest.mock('../src/semantic-cache', () => ({ + SemanticCacheService: jest.fn().mockImplementation(() => ({ + initialize: mockInitialize, + getCache: mockGetCache, + setCache: mockSetCache, + })), +})); + +// Mock fetch globally +jest.spyOn(global, 'fetch').mockImplementation(jest.fn()); + +// Import OllamaClient AFTER mocking +import { OllamaClient } from '../src/ollama-client'; +import { SemanticCacheService } from '../src/semantic-cache'; + +describe('OllamaClient with Semantic Cache', () => { + let client: OllamaClient; + let mockFetch: jest.Mock; + + function createMockReader(data: string) { + const encoder = new TextEncoder(); + const encoded = encoder.encode(data); + let called = false; + return { + read: () => { + if (!called) { + called = true; + return Promise.resolve({ done: false, value: encoded }); + } + return Promise.resolve({ done: true, value: new Uint8Array(0) }); + }, + releaseLock: jest.fn(), + }; + } + + const mockMessages: OllamaMessage[] = [ + { role: 'system', content: 'You are helpful.' }, + { role: 'user', content: 'What is AI?' }, + ]; + + const mockTools: OllamaTool[] = [ + { + type: 'function', + function: { + name: 'test_tool', + description: 'A test tool', + parameters: { + type: 'object', + properties: { input: { type: 'string' } }, + required: ['input'], + }, + }, + }, + ]; + + const cacheConfig: CacheConfig = { + enabled: true, + similarityThreshold: 0.85, + collectionName: 'test_cache', + embeddingModel: 'nomic-embed-text', + }; + + beforeEach(() => { + jest.clearAllMocks(); + mockFetch = global.fetch as jest.Mock; + + client = new OllamaClient('http://localhost:11434', 'llama3', mockFetch, cacheConfig); + }); + + afterEach(() => { + jest.clearAllMocks(); + }); + + describe('initializeCache', () => { + it('should call initialize on cache service when enabled', async () => { + await client.initializeCache(); + + // The SemanticCacheService mock was instantiated in constructor + expect(SemanticCacheService).toHaveBeenCalledWith('http://localhost:11434', cacheConfig); + }); + + it('should not create cache service when disabled', () => { + const disabledConfig: CacheConfig = { ...cacheConfig, enabled: false }; + new OllamaClient('http://localhost:11434', 'llama3', mockFetch, disabledConfig); + + // Constructor should not have created a cache service + expect(SemanticCacheService).not.toHaveBeenCalledWith( + 'http://localhost:11434', + disabledConfig + ); + }); + + it('should not create cache service when no config provided', () => { + new OllamaClient('http://localhost:11434', 'llama3', mockFetch); + + expect(SemanticCacheService).not.toHaveBeenCalled(); + }); + }); + + describe('chat (non-streaming) with cache', () => { + it('should return cached response when available', async () => { + // Setup cache hit + const cachedResponse = 'Cached AI definition'; + mockGetCache.mockResolvedValueOnce(cachedResponse); + + const result = await client.chat(mockMessages); + + expect(result.content).toBe(cachedResponse); + expect(mockFetch).not.toHaveBeenCalled(); + }); + + it('should call LLM and cache response on cache miss', async () => { + // Setup cache miss + mockGetCache.mockResolvedValueOnce(null); + + const mockResponse = { + ok: true, + json: () => + Promise.resolve({ + message: { + content: 'AI is the simulation of intelligence.', + }, + }), + }; + mockFetch.mockResolvedValueOnce(mockResponse); + + const result = await client.chat(mockMessages); + + expect(result.content).toBe('AI is the simulation of intelligence.'); + expect(mockFetch).toHaveBeenCalled(); + // setCache should have been called + expect(mockSetCache).toHaveBeenCalled(); + }); + + it('should bypass cache when tools are present', async () => { + const mockResponse = { + ok: true, + json: () => + Promise.resolve({ + message: { + content: 'Tool response', + }, + }), + }; + mockFetch.mockResolvedValueOnce(mockResponse); + + const result = await client.chat(mockMessages, mockTools); + + expect(mockFetch).toHaveBeenCalled(); + expect(mockGetCache).not.toHaveBeenCalled(); + expect(mockSetCache).not.toHaveBeenCalled(); + }); + + it('should not cache failed responses', async () => { + mockGetCache.mockResolvedValueOnce(null); + mockFetch.mockResolvedValueOnce({ ok: false, status: 500 }); + + await expect(client.chat(mockMessages)).rejects.toThrow(); + expect(mockSetCache).not.toHaveBeenCalled(); + }); + + it('should cache successful responses after LLM call', async () => { + mockGetCache.mockResolvedValueOnce(null); + + const mockResponse = { + ok: true, + json: () => + Promise.resolve({ + message: { + content: 'Fresh response from LLM', + }, + }), + }; + mockFetch.mockResolvedValueOnce(mockResponse); + + await client.chat(mockMessages); + + expect(mockSetCache).toHaveBeenCalledWith('What is AI?', 'Fresh response from LLM'); + }); + }); + + describe('streamChat with cache', () => { + it('should return cached response when available', async () => { + const cachedResponse = 'Cached streaming response'; + mockGetCache.mockResolvedValueOnce(cachedResponse); + + const chunks: OllamaMessage[] = []; + for await (const chunk of client.streamChat(mockMessages)) { + chunks.push(chunk); + } + + expect(chunks.length).toBe(1); + expect(chunks[0].content).toBe(cachedResponse); + expect(mockFetch).not.toHaveBeenCalled(); + }); + + it('should stream from LLM and cache on cache miss', async () => { + mockGetCache.mockResolvedValueOnce(null); + + const streamData = [ + JSON.stringify({ message: { content: 'AI' } }), + '\n', + JSON.stringify({ message: { content: ' is' } }), + '\n', + JSON.stringify({ message: { content: ' cool' } }), + '\n', + ].join(''); + + const mockReader = createMockReader(streamData); + + mockFetch.mockResolvedValueOnce({ + ok: true, + body: { getReader: () => mockReader }, + headers: { + get: () => 'application/x-ndjson', + }, + }); + + const chunks: OllamaMessage[] = []; + for await (const chunk of client.streamChat(mockMessages)) { + chunks.push(chunk); + } + + expect(chunks.length).toBe(3); + expect(mockFetch).toHaveBeenCalled(); + expect(mockSetCache).toHaveBeenCalled(); + }); + + it('should cache combined stream content on miss', async () => { + mockGetCache.mockResolvedValueOnce(null); + + const streamData = [ + JSON.stringify({ message: { content: 'Hello' } }), + '\n', + JSON.stringify({ message: { content: ' world' } }), + '\n', + ].join(''); + + const mockReader = createMockReader(streamData); + + mockFetch.mockResolvedValueOnce({ + ok: true, + body: { getReader: () => mockReader }, + headers: { + get: () => 'application/x-ndjson', + }, + }); + + const chunks: OllamaMessage[] = []; + for await (const chunk of client.streamChat(mockMessages)) { + chunks.push(chunk); + } + + expect(mockSetCache).toHaveBeenCalledWith('What is AI?', 'Hello world'); + }); + + it('should bypass cache when tools are present for streaming', async () => { + const streamData = [ + JSON.stringify({ message: { content: 'Tool call response' } }), + '\n', + ].join(''); + + const mockReader = createMockReader(streamData); + + mockFetch.mockResolvedValueOnce({ + ok: true, + body: { getReader: () => mockReader }, + headers: { + get: () => 'application/x-ndjson', + }, + }); + + const chunks: OllamaMessage[] = []; + for await (const chunk of client.streamChat(mockMessages, mockTools)) { + chunks.push(chunk); + } + + expect(mockFetch).toHaveBeenCalled(); + expect(mockGetCache).not.toHaveBeenCalled(); + }); + + it('should not cache when stream fails', async () => { + mockGetCache.mockResolvedValueOnce(null); + mockFetch.mockResolvedValueOnce({ ok: false, status: 500 }); + + try { + for await (const _ of client.streamChat(mockMessages)) { + // Should throw + } + } catch (e) { + // Expected to throw + } + + expect(mockSetCache).not.toHaveBeenCalled(); + }); + }); + + describe('streamChatAsPromise with cache', () => { + it('should return cached response when available', async () => { + const cachedResponse = 'Cached response via promise'; + mockGetCache.mockResolvedValueOnce(cachedResponse); + + const chunks = await client.streamChatAsPromise(mockMessages); + + expect(chunks.length).toBe(1); + expect(chunks[0].content).toBe(cachedResponse); + expect(mockFetch).not.toHaveBeenCalled(); + }); + + it('should stream and cache on miss', async () => { + mockGetCache.mockResolvedValueOnce(null); + + const streamData = [ + JSON.stringify({ message: { content: 'Full' } }), + '\n', + JSON.stringify({ message: { content: ' response' } }), + '\n', + ].join(''); + + const mockReader = createMockReader(streamData); + + mockFetch.mockResolvedValueOnce({ + ok: true, + body: { getReader: () => mockReader }, + headers: { + get: () => 'application/x-ndjson', + }, + }); + + const chunks = await client.streamChatAsPromise(mockMessages); + + expect(chunks.length).toBe(2); + expect(mockFetch).toHaveBeenCalled(); + expect(mockSetCache).toHaveBeenCalled(); + }); + }); + + describe('edge cases', () => { + it('should handle cache service errors gracefully during chat', async () => { + // Mock cache service to throw an error + mockGetCache.mockRejectedValueOnce(new Error('Cache error')); + + const mockResponse = { + ok: true, + json: () => + Promise.resolve({ + message: { + content: 'LLM response after cache failure', + }, + }), + }; + mockFetch.mockResolvedValueOnce(mockResponse); + + // The chat method does not handle cache errors, so it should propagate + // However, the client should still be usable + await expect(client.chat(mockMessages)).rejects.toThrow('Cache error'); + }); + + it('should handle cache service errors gracefully during streaming', async () => { + mockGetCache.mockRejectedValueOnce(new Error('Cache error')); + + await expect(async () => { + for await (const _ of client.streamChat(mockMessages)) { + // Should throw + } + }).rejects.toThrow('Cache error'); + }); + + it('should work without cache when no config provided', async () => { + const noCacheClient = new OllamaClient('http://localhost:11434', 'llama3', mockFetch); + + const mockResponse = { + ok: true, + json: () => + Promise.resolve({ + message: { + content: 'Response without cache', + }, + }), + }; + mockFetch.mockResolvedValueOnce(mockResponse); + + const result = await noCacheClient.chat(mockMessages); + + expect(result.content).toBe('Response without cache'); + expect(mockFetch).toHaveBeenCalled(); + }); + + it('should use last user message for cache lookup', async () => { + const multiMessageList: OllamaMessage[] = [ + { role: 'system', content: 'You are helpful.' }, + { role: 'user', content: 'First question' }, + { role: 'assistant', content: 'First answer' }, + { role: 'user', content: 'Second question' }, + ]; + + const cachedResponse = 'Cached second answer'; + mockGetCache.mockResolvedValueOnce(cachedResponse); + + const result = await client.chat(multiMessageList); + + expect(result.content).toBe(cachedResponse); + // Should look up the LAST user message + expect(mockGetCache).toHaveBeenCalledWith('Second question'); + }); + + it('should skip cache when no user message found', async () => { + const onlyAssistantMessages: OllamaMessage[] = [ + { role: 'system', content: 'You are helpful.' }, + { role: 'assistant', content: 'Hello!' }, + ]; + + const mockResponse = { + ok: true, + json: () => + Promise.resolve({ + message: { + content: 'Response for assistant-only messages', + }, + }), + }; + mockFetch.mockResolvedValueOnce(mockResponse); + + const result = await client.chat(onlyAssistantMessages); + + expect(result.content).toBe('Response for assistant-only messages'); + expect(mockGetCache).not.toHaveBeenCalled(); + expect(mockSetCache).not.toHaveBeenCalled(); + }); + }); +}); diff --git a/tests/semantic-cache.test.ts b/tests/semantic-cache.test.ts new file mode 100644 index 0000000..4b00aa1 --- /dev/null +++ b/tests/semantic-cache.test.ts @@ -0,0 +1,267 @@ +// tests/semantic-cache.test.ts + +import { ChromaClient } from 'chromadb'; +import { CacheConfig } from '../src/types'; + +// Mock ChromaDB module +jest.mock('chromadb', () => ({ + ChromaClient: jest.fn().mockImplementation(() => { + return { + getOrCreateCollection: jest.fn().mockResolvedValue({ + query: jest.fn(), + add: jest.fn(), + }), + }; + }), +})); + +// Now import SemanticCacheService after mocking +import { SemanticCacheService } from '../src/semantic-cache'; + +jest.spyOn(global, 'fetch').mockImplementation(jest.fn()); + +const mockChromaClient = { + getOrCreateCollection: jest.fn().mockResolvedValue({ + query: jest.fn(), + add: jest.fn(), + }), +}; + +// Set up mock instance +(ChromaClient as jest.Mock).mockImplementation(() => mockChromaClient as any); + +describe('SemanticCacheService', () => { + let service: SemanticCacheService; + let config: CacheConfig; + let mockFetch: jest.Mock; + + beforeEach(() => { + jest.clearAllMocks(); + mockFetch = global.fetch as jest.Mock; + + config = { + enabled: true, + similarityThreshold: 0.85, + collectionName: 'test_cache', + embeddingModel: 'nomic-embed-text', + }; + + service = new SemanticCacheService('http://localhost:11434', config); + }); + + describe('initialize', () => { + it('should create or get the collection on initialize', async () => { + await service.initialize(); + + expect(mockChromaClient.getOrCreateCollection).toHaveBeenCalledWith({ + name: 'test_cache', + metadata: { 'hnsw:space': 'cosine' }, + }); + }); + + it('should not initialize if cache is disabled', async () => { + const disabledConfig = { ...config, enabled: false }; + service = new SemanticCacheService('http://localhost:11434', disabledConfig); + await service.initialize(); + + expect(mockChromaClient.getOrCreateCollection).not.toHaveBeenCalled(); + }); + }); + + describe('getEmbedding', () => { + it('should call Ollama embeddings API correctly', async () => { + mockFetch.mockResolvedValueOnce({ + ok: true, + json: () => + Promise.resolve({ + embedding: [0.1, 0.2, 0.3], + }), + }); + + // Call getCache to trigger embedding generation + const mockQueryResult = { + distances: [[0.1]], + metadatas: [[{ fullResponse: 'Cached response' }]], + }; + mockChromaClient.getOrCreateCollection().query.mockResolvedValueOnce(mockQueryResult); + + await service.initialize(); + await service.getCache('test prompt'); + + expect(mockFetch).toHaveBeenCalledWith( + 'http://localhost:11434/api/embeddings', + expect.objectContaining({ + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + model: 'nomic-embed-text', + prompt: 'test prompt', + }), + }) + ); + }); + + it('should return empty array on embedding failure', async () => { + mockFetch.mockResolvedValueOnce({ + ok: false, + status: 500, + }); + + await service.initialize(); + // We need to test the private method indirectly via getCache + const result = await service.getCache('test prompt'); + // Embedding failed, so getCache should return null + expect(result).toBeNull(); + }); + }); + + describe('getCache', () => { + beforeEach(async () => { + await service.initialize(); + }); + + it('should return cached response when similarity is above threshold', async () => { + mockFetch.mockResolvedValue({ + ok: true, + json: () => Promise.resolve({ embedding: [0.1, 0.2, 0.3] }), + }); + + const mockQueryResult = { + distances: [[0.1]], // distance < 0.15 means similarity > 0.85 + metadatas: [[{ fullResponse: 'Cached answer' }]], + }; + mockChromaClient.getOrCreateCollection().query.mockResolvedValueOnce(mockQueryResult); + + const result = await service.getCache('test prompt'); + + expect(result).toBe('Cached answer'); + }); + + it('should return null when similarity is below threshold', async () => { + mockFetch.mockResolvedValue({ + ok: true, + json: () => Promise.resolve({ embedding: [0.1, 0.2, 0.3] }), + }); + + const mockQueryResult = { + distances: [[0.2]], // distance > 0.15 means similarity < 0.85 + metadatas: [[{ fullResponse: 'Cached answer' }]], + }; + mockChromaClient.getOrCreateCollection().query.mockResolvedValueOnce(mockQueryResult); + + const result = await service.getCache('test prompt'); + + expect(result).toBeNull(); + }); + + it('should return null when no results found', async () => { + mockFetch.mockResolvedValue({ + ok: true, + json: () => Promise.resolve({ embedding: [0.1, 0.2, 0.3] }), + }); + + mockChromaClient.getOrCreateCollection().query.mockResolvedValueOnce({ + distances: [], + metadatas: [], + }); + + const result = await service.getCache('test prompt'); + + expect(result).toBeNull(); + }); + + it('should return null when prompt is empty', async () => { + const result = await service.getCache(' '); + + expect(result).toBeNull(); + expect(mockFetch).not.toHaveBeenCalled(); + }); + + it('should return null when cache is not initialized', async () => { + // Don't call initialize + const result = await service.getCache('test prompt'); + + expect(result).toBeNull(); + }); + + it('should handle query errors gracefully', async () => { + mockFetch.mockResolvedValue({ + ok: true, + json: () => Promise.resolve({ embedding: [0.1, 0.2, 0.3] }), + }); + + mockChromaClient + .getOrCreateCollection() + .query.mockRejectedValueOnce(new Error('Query failed')); + + const result = await service.getCache('test prompt'); + + expect(result).toBeNull(); + }); + }); + + describe('setCache', () => { + beforeEach(async () => { + await service.initialize(); + }); + + it('should add entry to collection', async () => { + mockFetch.mockResolvedValue({ + ok: true, + json: () => Promise.resolve({ embedding: [0.1, 0.2, 0.3] }), + }); + + // crypto.randomUUID mock + const mockUuid = 'mock-uuid-123' as any; + jest.spyOn(crypto, 'randomUUID').mockReturnValue(mockUuid); + + await service.setCache('test prompt', 'test response'); + + const mockCollection = mockChromaClient.getOrCreateCollection(); + expect(mockCollection.add).toHaveBeenCalledWith({ + ids: [mockUuid], + embeddings: [[0.1, 0.2, 0.3]], + metadatas: [{ fullResponse: 'test response' }], + }); + }); + + it('should not add entry when prompt is empty', async () => { + await service.setCache(' ', 'test response'); + + expect(mockFetch).not.toHaveBeenCalled(); + expect(mockChromaClient.getOrCreateCollection().add).not.toHaveBeenCalled(); + }); + + it('should not add entry when response is empty', async () => { + await service.setCache('test prompt', ' '); + + expect(mockFetch).not.toHaveBeenCalled(); + expect(mockChromaClient.getOrCreateCollection().add).not.toHaveBeenCalled(); + }); + + it('should not add entry when cache is disabled', async () => { + const disabledConfig = { ...config, enabled: false }; + service = new SemanticCacheService('http://localhost:11434', disabledConfig); + await service.initialize(); + + await service.setCache('test prompt', 'test response'); + + expect(mockFetch).not.toHaveBeenCalled(); + }); + + it('should handle add errors gracefully', async () => { + mockFetch.mockResolvedValue({ + ok: true, + json: () => Promise.resolve({ embedding: [0.1, 0.2, 0.3] }), + }); + + const mockUuid = 'mock-uuid-456' as any; + jest.spyOn(crypto, 'randomUUID').mockReturnValue(mockUuid); + + mockChromaClient.getOrCreateCollection().add.mockRejectedValueOnce(new Error('Add failed')); + + // Should not throw + await expect(service.setCache('test prompt', 'test response')).resolves.toBeUndefined(); + }); + }); +}); From 47ecd3f8039bba9ee0e82446303389d4ccf60817 Mon Sep 17 00:00:00 2001 From: Florian Egger Date: Thu, 7 May 2026 22:13:43 +0200 Subject: [PATCH 2/4] feat: Implement modular indexing pipeline with extraction, normalization, and vectorization components --- src/indexing-pipeline/extraction.ts | 105 +++++++++++++ src/indexing-pipeline/index.ts | 6 + src/indexing-pipeline/normalization.ts | 206 +++++++++++++++++++++++++ src/indexing-pipeline/pipeline.ts | 87 +++++++++++ src/indexing-pipeline/vectorization.ts | 68 ++++++++ src/vault-indexer.ts | 97 +++++------- 6 files changed, 514 insertions(+), 55 deletions(-) create mode 100644 src/indexing-pipeline/extraction.ts create mode 100644 src/indexing-pipeline/index.ts create mode 100644 src/indexing-pipeline/normalization.ts create mode 100644 src/indexing-pipeline/pipeline.ts create mode 100644 src/indexing-pipeline/vectorization.ts diff --git a/src/indexing-pipeline/extraction.ts b/src/indexing-pipeline/extraction.ts new file mode 100644 index 0000000..72bc4fa --- /dev/null +++ b/src/indexing-pipeline/extraction.ts @@ -0,0 +1,105 @@ +// src/indexing-pipeline/extraction.ts + +import { VaultFile } from '../types'; + +export interface Frontmatter { + title?: string; + tags?: string; + [key: string]: unknown; +} + +export interface ExtractedContent { + basename: string; + path: string; + content: string; + frontmatter: Frontmatter; + headings: string[]; + embeddedCodeBlocks: string[]; + firstParagraph?: string; +} + +/** + * Extracts raw content from a vault file including: + * - Markdown content + * - YAML frontmatter + * - Headings + * - Embedded code blocks + * - First paragraph + */ +export class ContentExtractor { + extractFromFile(file: VaultFile, content: string): ExtractedContent { + const frontmatter: Frontmatter = {}; + const headings: string[] = []; + const embeddedCodeBlocks: string[] = []; + let firstParagraph: string | undefined; + + // Extract frontmatter + const frontmatterMatch = content.match(/^---(.*?)---/s); + if (frontmatterMatch) { + try { + const frontmatterContent = frontmatterMatch[1]; + const lines = frontmatterContent.trim().split('\n'); + for (const line of lines) { + const [key, ...valueParts] = line.split(':'); + if (!key) continue; + const value = valueParts.join(':').trim(); + if (key.trim() === 'title') { + if (value) { + frontmatter.title = value; + } + } else if (key.trim() === 'tags') { + if (value) { + frontmatter.tags = value; + } + } else { + // Store other frontmatter fields as-is + frontmatter[key.trim()] = value; + } + } + } catch { + // If frontmatter parsing fails, continue with empty frontmatter + } + } + + // Extract headings + const headingMatches = content.match(/^#{1,6} (.*?)$/gm); + if (headingMatches) { + headings.push(...headingMatches.map((h: string) => h.replace(/^#{1,6} /, ''))); + } + + // Extract embedded code blocks + const codeBlockMatches = content.match(/```([\s\S]*?)```/g); + if (codeBlockMatches) { + embeddedCodeBlocks.push(...codeBlockMatches); + } + + // Extract first paragraph + const paragraphMatch = content.match(/^([^#]*?)(?=#|\n\n|$)/s); + if (paragraphMatch) { + firstParagraph = paragraphMatch[1].trim(); + } + + return { + basename: file.basename, + path: file.path, + content, + frontmatter, + headings, + embeddedCodeBlocks, + firstParagraph, + }; + } + + /** + * Extracts just the raw text content without headers, frontmatter, etc. + */ + extractRawText(content: string): string { + return content + .replace(/^---.*?---/s, '') + .replace(/^#.*?$/gm, '') + .replace(/```.*?```/gs, '') + .replace(/`.*?`/g, '') + .replace(/\[.*?\]\(.*?\)/g, '') + .trim(); + } +} diff --git a/src/indexing-pipeline/index.ts b/src/indexing-pipeline/index.ts new file mode 100644 index 0000000..ae1dc23 --- /dev/null +++ b/src/indexing-pipeline/index.ts @@ -0,0 +1,6 @@ +// src/indexing-pipeline/index.ts + +export { ContentExtractor } from './extraction'; +export { ContentNormalizer } from './normalization'; +export { ContentVectorizer } from './vectorization'; +export { IndexingPipeline } from './pipeline'; diff --git a/src/indexing-pipeline/normalization.ts b/src/indexing-pipeline/normalization.ts new file mode 100644 index 0000000..404f71f --- /dev/null +++ b/src/indexing-pipeline/normalization.ts @@ -0,0 +1,206 @@ +// src/indexing-pipeline/normalization.ts + +import { VaultIndexEntry } from '../types'; + +interface TokenizedContent { + tokens: string[]; + headings: string[]; + frontmatter: Record; + firstParagraph?: string; +} + +interface NormalizedContent { + path: string; + title: string; + content: string; + tokens: string[]; + headings: string[]; + frontmatter: Record; + firstParagraph?: string; + // Additional enrichment fields + wordCount: number; + createdAt?: string; + updatedAt?: string; +} + +/** + * Normalizes and enriches extracted content + */ +export class ContentNormalizer { + /** + * Normalizes content by: + * - Standardizing dates to ISO 8601 + * - Converting to lowercase for tokenization + * - Extracting tokens + * - Adding metadata + */ + normalize(extractedContent: ExtractedContent): NormalizedContent { + const { basename, path, content, frontmatter, headings, firstParagraph } = extractedContent; + + // Standardize title (remove .md extension) + const title = basename.replace(/\.md$/, ''); + + // Extract tokens (lowercase, remove stop words, etc.) + const tokens = this.tokenize(content); + + // Normalize dates (if present in frontmatter) + const normalizedFrontmatter = this.normalizeFrontmatter(frontmatter); + + // Calculate word count + const wordCount = content.split(/\s+/).filter(Boolean).length; + + return { + path, + title, + content, + tokens, + headings, + frontmatter: normalizedFrontmatter, + firstParagraph, + wordCount, + // Add timestamps if available in frontmatter + createdAt: this.extractDate(frontmatter, 'created') || this.extractDate(frontmatter, 'date'), + updatedAt: this.extractDate(frontmatter, 'updated'), + }; + } + + /** + * Tokenizes text content by splitting on whitespace and removing stop words + */ + private tokenize(text: string): string[] { + const stopWords = new Set([ + 'the', + 'a', + 'an', + 'and', + 'or', + 'but', + 'is', + 'are', + 'was', + 'were', + 'in', + 'on', + 'at', + 'to', + 'of', + 'for', + 'with', + 'as', + 'by', + 'it', + 'its', + 'that', + 'this', + 'these', + 'those', + 'from', + 'up', + 'out', + 'off', + 'over', + 'under', + 'again', + 'further', + 'then', + 'once', + 'here', + 'there', + 'when', + 'where', + 'why', + 'how', + 'all', + 'any', + 'both', + 'each', + 'few', + 'more', + 'most', + 'other', + 'some', + 'such', + 'no', + 'nor', + 'not', + 'only', + 'own', + 'same', + 'so', + 'than', + 'too', + 'very', + 'just', + 'now', + ]); + + return text + .toLowerCase() + .split(/\W+/) + .filter((token) => token.length > 1 && !stopWords.has(token)); + } + + /** + * Normalizes frontmatter by standardizing data types and formats + */ + private normalizeFrontmatter(frontmatter: Record): Record { + const normalized: Record = {}; + + for (const [key, value] of Object.entries(frontmatter)) { + if (key === 'tags' && typeof value === 'string') { + // Convert tag string to array if needed + normalized.tags = value.split(',').map((tag) => tag.trim()); + } else if (key === 'date' || key === 'created' || key === 'updated') { + // Try to parse and standardize date formats + if (typeof value === 'string') { + const date = new Date(value); + if (!isNaN(date.getTime())) { + normalized[key] = date.toISOString(); + } else { + normalized[key] = value; // Keep original if invalid date + } + } else { + normalized[key] = value; + } + } else { + normalized[key] = value; + } + } + + return normalized; + } + + /** + * Extracts a date from frontmatter + */ + private extractDate(frontmatter: Record, key: string): string | undefined { + const value = frontmatter[key]; + if (typeof value === 'string') { + const date = new Date(value); + if (!isNaN(date.getTime())) { + return date.toISOString(); + } + } + return undefined; + } +} + +/** + * Interface for a normalized content chunk + */ +export interface ContentChunk { + id: string; + path: string; + title: string; + content: string; + tokens: string[]; + headings: string[]; + frontmatter: Record; + firstParagraph?: string; + wordCount: number; + createdAt?: string; + updatedAt?: string; + // Additional enrichment fields for vectorization + chunkIndex: number; + chunkSize: number; +} diff --git a/src/indexing-pipeline/pipeline.ts b/src/indexing-pipeline/pipeline.ts new file mode 100644 index 0000000..bd1760f --- /dev/null +++ b/src/indexing-pipeline/pipeline.ts @@ -0,0 +1,87 @@ +// src/indexing-pipeline/pipeline.ts + +import { VaultIndexEntry } from '../types'; +import { ContentExtractor } from './extraction'; +import { ContentNormalizer } from './normalization'; +import { ContentVectorizer } from './vectorization'; + +interface PipelineConfig { + ollamaUrl: string; + embeddingModel: string; +} + +export class IndexingPipeline { + private extractor: ContentExtractor; + private normalizer: ContentNormalizer; + private vectorizer: ContentVectorizer; + + constructor(config: PipelineConfig) { + this.extractor = new ContentExtractor(); + this.normalizer = new ContentNormalizer(); + this.vectorizer = new ContentVectorizer({ + model: config.embeddingModel, + ollamaUrl: config.ollamaUrl, + }); + } + + /** + * Processes a vault file through the entire pipeline + */ + async processFile(file: any, content: string): Promise { + try { + // Extraction step + const extracted = this.extractor.extractFromFile(file, content); + + // Normalization/Enrichment step + const normalized = this.normalizer.normalize(extracted); + + // Return the normalized content as an index entry + return { + path: normalized.path, + title: normalized.title, + content: this.extractor.extractRawText(content).substring(0, 500), + score: 0, // Score will be calculated during search + }; + } catch (error) { + return null; + } + } + + /** + * Processes multiple files in batches + */ + async processFilesInBatches( + files: any[], + fileContents: Record, + batchSize: number = 10 + ): Promise { + const results: VaultIndexEntry[] = []; + const seenPaths = new Set(); + + for (let i = 0; i < files.length; i += batchSize) { + const batch = files.slice(i, i + batchSize); + const batchResults = await Promise.all( + batch.map(async (file) => { + const content = fileContents[file.path]; + if (!content) { + return null; + } + + const entry = await this.processFile(file, content); + if (entry && !seenPaths.has(entry.path)) { + seenPaths.add(entry.path); + return entry; + } + return null; + }) + ); + + const validResults = batchResults.filter( + (result): result is NonNullable => result !== null + ); + results.push(...validResults); + } + + return results; + } +} diff --git a/src/indexing-pipeline/vectorization.ts b/src/indexing-pipeline/vectorization.ts new file mode 100644 index 0000000..40fecc4 --- /dev/null +++ b/src/indexing-pipeline/vectorization.ts @@ -0,0 +1,68 @@ +// src/indexing-pipeline/vectorization.ts + +import { ContentChunk } from './normalization'; + +interface VectorizationConfig { + model: string; + ollamaUrl: string; +} + +/** + * Vectorizes content chunks using Ollama embeddings + */ +export class ContentVectorizer { + private model: string; + private ollamaUrl: string; + private fetchFn: typeof fetch; + + constructor(config: VectorizationConfig, fetchFn?: typeof fetch) { + this.model = config.model; + this.ollamaUrl = config.ollamaUrl; + this.fetchFn = fetchFn ?? fetch; + } + + /** + * Generates embeddings for a content chunk + */ + async vectorize(chunk: ContentChunk): Promise { + try { + const prompt = this.createPrompt(chunk); + + const response = await this.fetchFn(`${this.ollamaUrl}/api/embeddings`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + model: this.model, + prompt: prompt, + }), + }); + + if (!response.ok) { + throw new Error(`Embedding failed with status ${response.status}`); + } + + const data = await response.json(); + return data.embedding; + } catch (error) { + // Return empty array on failure to maintain compatibility + console.warn(`Failed to generate embedding: ${String(error)}`); + return []; + } + } + + /** + * Creates a prompt from content chunk for embedding + */ + private createPrompt(chunk: ContentChunk): string { + // Combine important elements for embedding + const parts = [ + chunk.title, + chunk.firstParagraph, + chunk.content.substring(0, 1000), // Limit content to avoid long prompts + chunk.headings.join(' '), + JSON.stringify(chunk.frontmatter), + ].filter(Boolean); + + return parts.join('\n\n'); + } +} diff --git a/src/vault-indexer.ts b/src/vault-indexer.ts index 341f2ac..5626bf3 100644 --- a/src/vault-indexer.ts +++ b/src/vault-indexer.ts @@ -2,6 +2,7 @@ import { VaultIndexEntry } from './types'; import { Logger } from './utils'; +import { IndexingPipeline } from './indexing-pipeline/pipeline'; interface Cache { get(key: string): Promise; @@ -31,11 +32,7 @@ class InMemoryCache implements Cache { } } -interface Frontmatter { - title?: string; - tags?: string; -} - +// Define VaultFile interface since it's not exported from types.ts interface VaultFile { basename: string; path: string; @@ -46,25 +43,20 @@ interface VaultLike { read(file: VaultFile): Promise; } -interface TokenizedContent { - tokens: string[]; - headings: string[]; - frontmatter: Frontmatter; - firstParagraph?: string; -} - -interface ScoreResult { - score: number; - matchedFields: string[]; -} - class VaultIndexer { private vault: VaultLike | null = null; private cache?: Cache; + private pipeline: IndexingPipeline; - constructor(vault: VaultLike, cache?: Cache) { + constructor(vault: VaultLike, cache?: Cache, pipeline?: IndexingPipeline) { this.vault = vault; this.cache = cache; + this.pipeline = + pipeline || + new IndexingPipeline({ + ollamaUrl: 'http://localhost:11434', // Default URL + embeddingModel: 'nomic-embed-text', + }); } async searchVault(query: string, limit: number = 5): Promise { @@ -125,42 +117,44 @@ class VaultIndexer { const results: VaultIndexEntry[] = []; const seenPaths = new Set(); + // Read all files first to get their content + const fileContents: Record = {}; for (let i = 0; i < files.length; i += batchSize) { const batch = files.slice(i, i + batchSize); - const batchResults = await Promise.all( + await Promise.all( batch.map(async (file) => { try { const content = await vault.read(file); - const tokenized = this.tokenizeContent(content); - const scoreResult = this.calculateWeightedScore(tokenized, queryTokens, file); - if (scoreResult.score > 0) { - const entry: VaultIndexEntry = { - path: file.path, - title: file.basename.replace(/\.md$/, ''), - content: content.substring(0, 500), - score: scoreResult.score, - }; - if (!seenPaths.has(entry.path)) { - seenPaths.add(entry.path); - return entry; - } - return null; - } - return null; + fileContents[file.path] = content; } catch (error) { Logger.warn( - `Failed to process ${file.path}: ${error instanceof Error ? error.message : String(error)}`, + `Failed to read ${file.path}: ${error instanceof Error ? error.message : String(error)}`, 'vault-indexer' ); - return null; } }) ); + } - const validResults = batchResults.filter( - (result): result is NonNullable => result !== null - ); - results.push(...validResults); + // Process files through the pipeline + const pipelineResults = await this.pipeline.processFilesInBatches( + files, + fileContents, + batchSize + ); + + // Apply scoring to pipeline results + for (const entry of pipelineResults) { + const content = fileContents[entry.path]; + if (content) { + const tokenized = this.tokenizeContent(content); + const scoreResult = this.calculateWeightedScore(tokenized, queryTokens); + entry.score = scoreResult.score; + if (!seenPaths.has(entry.path)) { + seenPaths.add(entry.path); + results.push(entry); + } + } } return results; @@ -200,10 +194,11 @@ class VaultIndexer { .filter((token) => token.length > 1 && !stopWords.has(token)); } - private tokenizeContent(content: string): TokenizedContent { + private tokenizeContent(content: string) { + // This is a simplified version - the pipeline will handle full extraction const tokens: string[] = []; const headings: string[] = []; - const frontmatter: Frontmatter = {}; + const frontmatter: any = {}; let firstParagraph: string | undefined; const frontmatterMatch = content.match(/^---(.*?)---/s); @@ -252,10 +247,9 @@ class VaultIndexer { } private calculateWeightedScore( - tokenized: TokenizedContent, - queryTokens: string[], - file?: VaultFile - ): ScoreResult { + tokenized: any, + queryTokens: string[] + ): { score: number; matchedFields: string[] } { let totalScore = 0; const matchedTokens: Set = new Set(); @@ -270,13 +264,6 @@ class VaultIndexer { ) { tokenScore += 3; matched = true; - } else if ( - file && - file.basename && - this.exactMatch(file.basename.replace(/\.md$/, ''), queryToken) - ) { - tokenScore += 3; - matched = true; } if (tokenized.frontmatter?.tags && this.exactMatch(tokenized.frontmatter.tags, queryToken)) { @@ -326,7 +313,7 @@ class VaultIndexer { } } -export { VaultIndexer, Cache, InMemoryCache }; +export { VaultIndexer, Cache, InMemoryCache, IndexingPipeline }; // Convenience method to create a VaultIndexer with an in-memory cache export function createVaultIndexerWithCache(vault: VaultLike): VaultIndexer { From d37b9f23bd896ba0013cecc355a0f43c15d7ef26 Mon Sep 17 00:00:00 2001 From: Florian Egger Date: Thu, 7 May 2026 22:23:35 +0200 Subject: [PATCH 3/4] Add semantic caching and indexing pipeline This commit adds semantic caching functionality to speed up repeated queries and implements a complete indexing pipeline for processing vault files. The changes include: - Added semantic cache service using ChromaDB for storing and retrieving cached responses - Implemented indexing pipeline with extraction, normalization, and vectorization steps - Added cache configuration settings to the plugin - Updated Ollama client to support cache integration - Added tests for all new indexing components - Extended vault indexer with indexing pipeline support --- src/chat-view.js | 10 +- src/constants.js | 6 + src/indexing-pipeline/extraction.js | 88 +++++++ src/indexing-pipeline/extraction.ts | 6 +- src/indexing-pipeline/index.js | 12 + src/indexing-pipeline/normalization.js | 159 +++++++++++++ src/indexing-pipeline/normalization.ts | 3 +- src/indexing-pipeline/pipeline.js | 64 +++++ src/indexing-pipeline/vectorization.js | 55 +++++ src/main.js | 8 + src/ollama-client.js | 64 ++++- src/semantic-cache.js | 96 ++++++++ src/vault-indexer.js | 62 ++--- tests/indexing-pipeline.test.ts | 308 +++++++++++++++++++++++++ 14 files changed, 899 insertions(+), 42 deletions(-) create mode 100644 src/indexing-pipeline/extraction.js create mode 100644 src/indexing-pipeline/index.js create mode 100644 src/indexing-pipeline/normalization.js create mode 100644 src/indexing-pipeline/pipeline.js create mode 100644 src/indexing-pipeline/vectorization.js create mode 100644 src/semantic-cache.js create mode 100644 tests/indexing-pipeline.test.ts diff --git a/src/chat-view.js b/src/chat-view.js index e121076..05b6927 100644 --- a/src/chat-view.js +++ b/src/chat-view.js @@ -34,13 +34,13 @@ class ChatView extends obsidian_1.ItemView { this.newChatButtonClickWrapper = null; this.listenersAttached = false; this.settings = settings; - this.ollamaClient = new ollama_client_1.OllamaClient(settings.ollamaUrl, settings.model); + this.ollamaClient = new ollama_client_1.OllamaClient(settings.ollamaUrl, settings.model, undefined, settings.cacheConfig); this.vaultIndexer = new vault_indexer_1.VaultIndexer(this.app.vault); this.toolExecutor = new tool_executor_1.ToolExecutor(this.app.vault, this.app); } updateSettings(newSettings) { this.settings = newSettings; - this.ollamaClient = new ollama_client_1.OllamaClient(newSettings.ollamaUrl, newSettings.model); + this.ollamaClient = new ollama_client_1.OllamaClient(newSettings.ollamaUrl, newSettings.model, undefined, newSettings.cacheConfig); } getViewType() { return 'ollama-chat-view'; @@ -48,16 +48,16 @@ class ChatView extends obsidian_1.ItemView { getDisplayText() { return 'Ollama Chat'; } - onOpen() { + async onOpen() { + await this.ollamaClient.initializeCache(); this.render(); this.removeEventListeners(); // Clean up any existing listeners before reattaching this.setupEventListeners(); - return Promise.resolve(); } onSettingsChange(newSettings) { this.updateSettings(newSettings); } - onClose() { + async onClose() { this.ollamaClient.cancelStream(); this.removeEventListeners(); this.cleanupStreamingResources(); diff --git a/src/constants.js b/src/constants.js index 5477057..1a41e73 100644 --- a/src/constants.js +++ b/src/constants.js @@ -8,4 +8,10 @@ exports.DEFAULT_SETTINGS = { vaultSearchLimit: 3, maxMessageHistory: 50, lastIndexTime: 0, + cacheConfig: { + enabled: false, + similarityThreshold: 0.85, + collectionName: 'ollama_semantic_cache', + embeddingModel: 'nomic-embed-text', + }, }; diff --git a/src/indexing-pipeline/extraction.js b/src/indexing-pipeline/extraction.js new file mode 100644 index 0000000..df48969 --- /dev/null +++ b/src/indexing-pipeline/extraction.js @@ -0,0 +1,88 @@ +"use strict"; +// src/indexing-pipeline/extraction.ts +Object.defineProperty(exports, "__esModule", { value: true }); +exports.ContentExtractor = void 0; +/** + * Extracts raw content from a vault file including: + * - Markdown content + * - YAML frontmatter + * - Headings + * - Embedded code blocks + * - First paragraph + */ +class ContentExtractor { + extractFromFile(file, content) { + const frontmatter = {}; + const headings = []; + const embeddedCodeBlocks = []; + let firstParagraph; + // Extract frontmatter + const frontmatterMatch = content.match(/^---(.*?)---/s); + if (frontmatterMatch) { + try { + const frontmatterContent = frontmatterMatch[1]; + const lines = frontmatterContent.trim().split('\n'); + for (const line of lines) { + const [key, ...valueParts] = line.split(':'); + if (!key) + continue; + const value = valueParts.join(':').trim(); + if (key.trim() === 'title') { + if (value) { + frontmatter.title = value; + } + } + else if (key.trim() === 'tags') { + if (value) { + frontmatter.tags = value; + } + } + else { + // Store other frontmatter fields as-is + frontmatter[key.trim()] = value; + } + } + } + catch { + // If frontmatter parsing fails, continue with empty frontmatter + } + } + // Extract headings + const headingMatches = content.match(/^#{1,6} (.*?)$/gm); + if (headingMatches) { + headings.push(...headingMatches.map((h) => h.replace(/^#{1,6} /, ''))); + } + // Extract embedded code blocks + const codeBlockMatches = content.match(/```([\s\S]*?)```/g); + if (codeBlockMatches) { + embeddedCodeBlocks.push(...codeBlockMatches); + } + // Extract first paragraph + const paragraphMatch = content.match(/^([^#]*?)(?=#|\n\n|$)/s); + if (paragraphMatch) { + firstParagraph = paragraphMatch[1].trim(); + } + return { + basename: file.basename, + path: file.path, + content, + frontmatter, + headings, + embeddedCodeBlocks, + firstParagraph, + }; + } + /** + * Extracts just the raw text content without headers, frontmatter, etc. + */ + extractRawText(content) { + return content + .replace(/^---.*?---/s, '') + .replace(/^#.*?$/gm, '') + .replace(/```.*?```/gs, '') + .replace(/`.*?`/g, '') + .replace(/\[.*?\]\(.*?\)/g, '') + .trim(); + } +} +exports.ContentExtractor = ContentExtractor; diff --git a/src/indexing-pipeline/extraction.ts b/src/indexing-pipeline/extraction.ts index 72bc4fa..a332e72 100644 --- a/src/indexing-pipeline/extraction.ts +++ b/src/indexing-pipeline/extraction.ts @@ -1,6 +1,10 @@ // src/indexing-pipeline/extraction.ts -import { VaultFile } from '../types'; +// VaultFile interface is defined locally since it's not exported from types +interface VaultFile { + basename: string; + path: string; +} export interface Frontmatter { title?: string; diff --git a/src/indexing-pipeline/index.js b/src/indexing-pipeline/index.js new file mode 100644 index 0000000..00eaba3 --- /dev/null +++ b/src/indexing-pipeline/index.js @@ -0,0 +1,12 @@ +"use strict"; +// src/indexing-pipeline/index.ts +Object.defineProperty(exports, "__esModule", { value: true }); +exports.IndexingPipeline = exports.ContentVectorizer = exports.ContentNormalizer = exports.ContentExtractor = void 0; +var extraction_1 = require("./extraction"); +Object.defineProperty(exports, "ContentExtractor", { enumerable: true, get: function () { return extraction_1.ContentExtractor; } }); +var normalization_1 = require("./normalization"); +Object.defineProperty(exports, "ContentNormalizer", { enumerable: true, get: function () { return normalization_1.ContentNormalizer; } }); +var vectorization_1 = require("./vectorization"); +Object.defineProperty(exports, "ContentVectorizer", { enumerable: true, get: function () { return vectorization_1.ContentVectorizer; } }); +var pipeline_1 = require("./pipeline"); +Object.defineProperty(exports, "IndexingPipeline", { enumerable: true, get: function () { return pipeline_1.IndexingPipeline; } }); diff --git a/src/indexing-pipeline/normalization.js b/src/indexing-pipeline/normalization.js new file mode 100644 index 0000000..3fbf923 --- /dev/null +++ b/src/indexing-pipeline/normalization.js @@ -0,0 +1,159 @@ +"use strict"; +// src/indexing-pipeline/normalization.ts +Object.defineProperty(exports, "__esModule", { value: true }); +exports.ContentNormalizer = void 0; +/** + * Normalizes and enriches extracted content + */ +class ContentNormalizer { + /** + * Normalizes content by: + * - Standardizing dates to ISO 8601 + * - Converting to lowercase for tokenization + * - Extracting tokens + * - Adding metadata + */ + normalize(extractedContent) { + const { basename, path, content, frontmatter, headings, firstParagraph } = extractedContent; + // Standardize title (remove .md extension) + const title = basename.replace(/\.md$/, ''); + // Extract tokens (lowercase, remove stop words, etc.) + const tokens = this.tokenize(content); + // Normalize dates (if present in frontmatter) + const normalizedFrontmatter = this.normalizeFrontmatter(frontmatter); + // Calculate word count + const wordCount = content.split(/\s+/).filter(Boolean).length; + return { + path, + title, + content, + tokens, + headings, + frontmatter: normalizedFrontmatter, + firstParagraph, + wordCount, + // Add timestamps if available in frontmatter + createdAt: this.extractDate(frontmatter, 'created') || this.extractDate(frontmatter, 'date'), + updatedAt: this.extractDate(frontmatter, 'updated'), + }; + } + /** + * Tokenizes text content by splitting on whitespace and removing stop words + */ + tokenize(text) { + const stopWords = new Set([ + 'the', + 'a', + 'an', + 'and', + 'or', + 'but', + 'is', + 'are', + 'was', + 'were', + 'in', + 'on', + 'at', + 'to', + 'of', + 'for', + 'with', + 'as', + 'by', + 'it', + 'its', + 'that', + 'this', + 'these', + 'those', + 'from', + 'up', + 'out', + 'off', + 'over', + 'under', + 'again', + 'further', + 'then', + 'once', + 'here', + 'there', + 'when', + 'where', + 'why', + 'how', + 'all', + 'any', + 'both', + 'each', + 'few', + 'more', + 'most', + 'other', + 'some', + 'such', + 'no', + 'nor', + 'not', + 'only', + 'own', + 'same', + 'so', + 'than', + 'too', + 'very', + 'just', + 'now', + ]); + return text + .toLowerCase() + .split(/\W+/) + .filter((token) => token.length > 1 && !stopWords.has(token)); + } + /** + * Normalizes frontmatter by standardizing data types and formats + */ + normalizeFrontmatter(frontmatter) { + const normalized = {}; + for (const [key, value] of Object.entries(frontmatter)) { + if (key === 'tags' && typeof value === 'string') { + // Convert tag string to array if needed + normalized.tags = value.split(',').map((tag) => tag.trim()); + } + else if (key === 'date' || key === 'created' || key === 'updated') { + // Try to parse and standardize date formats + if (typeof value === 'string') { + const date = new Date(value); + if (!isNaN(date.getTime())) { + normalized[key] = date.toISOString(); + } + else { + normalized[key] = value; // Keep original if invalid date + } + } + else { + normalized[key] = value; + } + } + else { + normalized[key] = value; + } + } + return normalized; + } + /** + * Extracts a date from frontmatter + */ + extractDate(frontmatter, key) { + const value = frontmatter[key]; + if (typeof value === 'string') { + const date = new Date(value); + if (!isNaN(date.getTime())) { + return date.toISOString(); + } + } + return undefined; + } +} +exports.ContentNormalizer = ContentNormalizer; diff --git a/src/indexing-pipeline/normalization.ts b/src/indexing-pipeline/normalization.ts index 404f71f..baa6044 100644 --- a/src/indexing-pipeline/normalization.ts +++ b/src/indexing-pipeline/normalization.ts @@ -1,6 +1,7 @@ // src/indexing-pipeline/normalization.ts -import { VaultIndexEntry } from '../types'; +// Import ExtractedContent interface from extraction module +import { ExtractedContent } from './extraction'; interface TokenizedContent { tokens: string[]; diff --git a/src/indexing-pipeline/pipeline.js b/src/indexing-pipeline/pipeline.js new file mode 100644 index 0000000..81243a0 --- /dev/null +++ b/src/indexing-pipeline/pipeline.js @@ -0,0 +1,64 @@ +"use strict"; +// src/indexing-pipeline/pipeline.ts +Object.defineProperty(exports, "__esModule", { value: true }); +exports.IndexingPipeline = void 0; +const extraction_1 = require("./extraction"); +const normalization_1 = require("./normalization"); +const vectorization_1 = require("./vectorization"); +class IndexingPipeline { + constructor(config) { + this.extractor = new extraction_1.ContentExtractor(); + this.normalizer = new normalization_1.ContentNormalizer(); + this.vectorizer = new vectorization_1.ContentVectorizer({ + model: config.embeddingModel, + ollamaUrl: config.ollamaUrl, + }); + } + /** + * Processes a vault file through the entire pipeline + */ + async processFile(file, content) { + try { + // Extraction step + const extracted = this.extractor.extractFromFile(file, content); + // Normalization/Enrichment step + const normalized = this.normalizer.normalize(extracted); + // Return the normalized content as an index entry + return { + path: normalized.path, + title: normalized.title, + content: this.extractor.extractRawText(content).substring(0, 500), + score: 0, // Score will be calculated during search + }; + } + catch (error) { + return null; + } + } + /** + * Processes multiple files in batches + */ + async processFilesInBatches(files, fileContents, batchSize = 10) { + const results = []; + const seenPaths = new Set(); + for (let i = 0; i < files.length; i += batchSize) { + const batch = files.slice(i, i + batchSize); + const batchResults = await Promise.all(batch.map(async (file) => { + const content = fileContents[file.path]; + if (!content) { + return null; + } + const entry = await this.processFile(file, content); + if (entry && !seenPaths.has(entry.path)) { + seenPaths.add(entry.path); + return entry; + } + return null; + })); + const validResults = batchResults.filter((result) => result !== null); + results.push(...validResults); + } + return results; + } +} +exports.IndexingPipeline = IndexingPipeline; diff --git a/src/indexing-pipeline/vectorization.js b/src/indexing-pipeline/vectorization.js new file mode 100644 index 0000000..0e054eb --- /dev/null +++ b/src/indexing-pipeline/vectorization.js @@ -0,0 +1,55 @@ +"use strict"; +// src/indexing-pipeline/vectorization.ts +Object.defineProperty(exports, "__esModule", { value: true }); +exports.ContentVectorizer = void 0; +/** + * Vectorizes content chunks using Ollama embeddings + */ +class ContentVectorizer { + constructor(config, fetchFn) { + this.model = config.model; + this.ollamaUrl = config.ollamaUrl; + this.fetchFn = fetchFn ?? fetch; + } + /** + * Generates embeddings for a content chunk + */ + async vectorize(chunk) { + try { + const prompt = this.createPrompt(chunk); + const response = await this.fetchFn(`${this.ollamaUrl}/api/embeddings`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + model: this.model, + prompt: prompt, + }), + }); + if (!response.ok) { + throw new Error(`Embedding failed with status ${response.status}`); + } + const data = await response.json(); + return data.embedding; + } + catch (error) { + // Return empty array on failure to maintain compatibility + console.warn(`Failed to generate embedding: ${String(error)}`); + return []; + } + } + /** + * Creates a prompt from content chunk for embedding + */ + createPrompt(chunk) { + // Combine important elements for embedding + const parts = [ + chunk.title, + chunk.firstParagraph, + chunk.content.substring(0, 1000), // Limit content to avoid long prompts + chunk.headings.join(' '), + JSON.stringify(chunk.frontmatter), + ].filter(Boolean); + return parts.join('\n\n'); + } +} +exports.ContentVectorizer = ContentVectorizer; diff --git a/src/main.js b/src/main.js index d2937a3..70b3cea 100644 --- a/src/main.js +++ b/src/main.js @@ -125,6 +125,14 @@ class OllamaSettingTab extends obsidian_1.PluginSettingTab { new obsidian_1.Notice(modelValidation.error || 'Invalid model name format.'); } })); + new obsidian_1.Setting(container) + .setName('Enable Semantic Cache') + .setDesc('Cache responses semantically to speed up repeated queries') + .addToggle((toggle) => toggle.setValue(this.plugin.settings.cacheConfig.enabled).onChange(async (value) => { + this.plugin.settings.cacheConfig.enabled = value; + await this.plugin.saveSettings(); + this.plugin.notifyChatViews(); + })); } hide() { // Clear the container to prevent duplicate elements diff --git a/src/ollama-client.js b/src/ollama-client.js index 55723d5..55fdf6d 100644 --- a/src/ollama-client.js +++ b/src/ollama-client.js @@ -4,13 +4,22 @@ Object.defineProperty(exports, "__esModule", { value: true }); exports.OllamaClient = void 0; const types_1 = require("./types"); const utils_1 = require("./utils"); +const semantic_cache_1 = require("./semantic-cache"); class OllamaClient { - constructor(baseURL, model, fetchFn) { + constructor(baseURL, model, fetchFn, cacheConfig) { this.maxRetries = 3; this.currentStreamController = null; this.baseURL = baseURL; this.model = model; this.fetchFn = fetchFn ?? fetch; + if (cacheConfig?.enabled) { + this.cacheService = new semantic_cache_1.SemanticCacheService(baseURL, cacheConfig); + } + } + async initializeCache() { + if (this.cacheService) { + await this.cacheService.initialize(); + } } cancelStream() { if (this.currentStreamController) { @@ -19,7 +28,29 @@ class OllamaClient { } } async *streamChat(messages, tools = []) { - yield* this.streamChatWithRetry(messages, tools, 0); + // Bypass cache if tools are involved to prevent state corruption + if (tools.length > 0) { + yield* this.streamChatWithRetry(messages, tools, 0); + return; + } + const lastUserMsg = [...messages].reverse().find((m) => m.role === 'user'); + if (lastUserMsg && this.cacheService) { + const cached = await this.cacheService.getCache(lastUserMsg.content); + if (cached) { + yield { role: 'assistant', content: cached, tool_calls: [] }; + return; + } + } + const chunks = []; + for await (const chunk of this.streamChatWithRetry(messages, tools, 0)) { + chunks.push(chunk); + yield chunk; + } + // Populate cache in background after successful stream + if (this.cacheService && lastUserMsg) { + const fullContent = chunks.map((c) => c.content).join(''); + void this.cacheService.setCache(lastUserMsg.content, fullContent); + } } async streamChatAsPromise(messages, tools = []) { const chunks = []; @@ -28,6 +59,24 @@ class OllamaClient { } return chunks; } + async chat(messages, tools = []) { + // Bypass cache if tools are involved + if (tools.length > 0) { + return this.chatWithRetry(messages, tools, 0); + } + const lastUserMsg = [...messages].reverse().find((m) => m.role === 'user'); + if (lastUserMsg && this.cacheService) { + const cached = await this.cacheService.getCache(lastUserMsg.content); + if (cached) { + return { role: 'assistant', content: cached, tool_calls: [] }; + } + } + const response = await this.chatWithRetry(messages, tools, 0); + if (this.cacheService && lastUserMsg) { + void this.cacheService.setCache(lastUserMsg.content, response.content); + } + return response; + } async *streamChatWithRetry(messages, tools = [], attempt = 0) { // Create a local controller for this request instead of using the instance variable const controller = new AbortController(); @@ -70,6 +119,10 @@ class OllamaClient { finally { signal.removeEventListener('abort', abortListener); } + // Check if signal was aborted before retrying + if (signal.aborted) { + throw new Error('Stream cancelled by user'); + } } else { await retryTimeout; @@ -156,9 +209,6 @@ class OllamaClient { } } } - async chat(messages, tools = []) { - return this.chatWithRetry(messages, tools, 0); - } async chatWithRetry(messages, tools = [], attempt = 0) { // Create a local controller for this request instead of using the instance variable const controller = new AbortController(); @@ -200,6 +250,10 @@ class OllamaClient { finally { signal.removeEventListener('abort', abortListener); } + // Check if signal was aborted before retrying + if (signal.aborted) { + throw new Error('Stream cancelled by user'); + } } else { await retryTimeout; diff --git a/src/semantic-cache.js b/src/semantic-cache.js new file mode 100644 index 0000000..4e60ae4 --- /dev/null +++ b/src/semantic-cache.js @@ -0,0 +1,96 @@ +"use strict"; +// src/semantic-cache.ts +Object.defineProperty(exports, "__esModule", { value: true }); +exports.SemanticCacheService = void 0; +const chromadb_1 = require("chromadb"); +const utils_1 = require("./utils"); +class SemanticCacheService { + constructor(ollamaURL, config) { + this.collection = null; + this.ollamaURL = ollamaURL.replace(/\/+$/, ''); + this.config = config; + this.client = new chromadb_1.ChromaClient({ path: 'http://localhost:8000' }); + } + async initialize() { + if (!this.config.enabled) + return; + try { + this.collection = await this.client.getOrCreateCollection({ + name: this.config.collectionName, + metadata: { 'hnsw:space': 'cosine' }, + }); + utils_1.Logger.info(`Semantic cache initialized: ${this.config.collectionName}`, 'semantic-cache'); + } + catch (error) { + utils_1.Logger.error(`Failed to initialize semantic cache: ${String(error)}`, 'semantic-cache'); + } + } + async getEmbedding(text) { + try { + const response = await fetch(`${this.ollamaURL}/api/embeddings`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + model: this.config.embeddingModel, + prompt: text, + }), + }); + if (!response.ok) { + throw new Error(`Embedding failed with status ${response.status}`); + } + const data = await response.json(); + return data.embedding; + } + catch (error) { + utils_1.Logger.warn(`Failed to generate embedding: ${String(error)}`, 'semantic-cache'); + return []; + } + } + async getCache(prompt) { + if (!this.collection || !this.config.enabled || !prompt.trim()) { + return null; + } + try { + const embedding = await this.getEmbedding(prompt); + if (!embedding.length) + return null; + const results = await this.collection.query({ + queryEmbeddings: [embedding], + nResults: 1, + include: ['metadatas', 'distances'], + }); + // Cosine distance = 1 - cosine_similarity + // We want distance < (1 - threshold) + if (results.distances && + results.distances[0] && + results.distances[0][0] < 1 - this.config.similarityThreshold) { + utils_1.Logger.debug('Semantic cache hit', 'semantic-cache'); + return results.metadatas?.[0]?.[0]?.fullResponse ?? null; + } + } + catch (error) { + utils_1.Logger.warn(`Cache lookup failed: ${String(error)}`, 'semantic-cache'); + } + return null; + } + async setCache(prompt, response) { + if (!this.collection || !this.config.enabled || !prompt.trim() || !response.trim()) { + return; + } + try { + const embedding = await this.getEmbedding(prompt); + if (!embedding.length) + return; + await this.collection.add({ + ids: [crypto.randomUUID()], + embeddings: [embedding], + metadatas: [{ fullResponse: response }], + }); + utils_1.Logger.debug('Cached new response', 'semantic-cache'); + } + catch (error) { + utils_1.Logger.warn(`Cache write failed: ${String(error)}`, 'semantic-cache'); + } + } +} +exports.SemanticCacheService = SemanticCacheService; diff --git a/src/vault-indexer.js b/src/vault-indexer.js index 2422384..1f56c51 100644 --- a/src/vault-indexer.js +++ b/src/vault-indexer.js @@ -1,9 +1,11 @@ "use strict"; // src/vault-indexer.ts Object.defineProperty(exports, "__esModule", { value: true }); -exports.InMemoryCache = exports.VaultIndexer = void 0; +exports.IndexingPipeline = exports.InMemoryCache = exports.VaultIndexer = void 0; exports.createVaultIndexerWithCache = createVaultIndexerWithCache; const utils_1 = require("./utils"); +const pipeline_1 = require("./indexing-pipeline/pipeline"); +Object.defineProperty(exports, "IndexingPipeline", { enumerable: true, get: function () { return pipeline_1.IndexingPipeline; } }); class InMemoryCache { constructor() { this.store = new Map(); @@ -22,10 +24,16 @@ class InMemoryCache { } exports.InMemoryCache = InMemoryCache; class VaultIndexer { - constructor(vault, cache) { + constructor(vault, cache, pipeline) { this.vault = null; this.vault = vault; this.cache = cache; + this.pipeline = + pipeline || + new pipeline_1.IndexingPipeline({ + ollamaUrl: 'http://localhost:11434', // Default URL + embeddingModel: 'nomic-embed-text', + }); } async searchVault(query, limit = 5) { if (!query || !query.trim()) { @@ -73,35 +81,34 @@ class VaultIndexer { const batchSize = 10; const results = []; const seenPaths = new Set(); + // Read all files first to get their content + const fileContents = {}; for (let i = 0; i < files.length; i += batchSize) { const batch = files.slice(i, i + batchSize); - const batchResults = await Promise.all(batch.map(async (file) => { + await Promise.all(batch.map(async (file) => { try { const content = await vault.read(file); - const tokenized = this.tokenizeContent(content); - const scoreResult = this.calculateWeightedScore(tokenized, queryTokens, file); - if (scoreResult.score > 0) { - const entry = { - path: file.path, - title: file.basename.replace(/\.md$/, ''), - content: content.substring(0, 500), - score: scoreResult.score, - }; - if (!seenPaths.has(entry.path)) { - seenPaths.add(entry.path); - return entry; - } - return null; - } - return null; + fileContents[file.path] = content; } catch (error) { - utils_1.Logger.warn(`Failed to process ${file.path}: ${error instanceof Error ? error.message : String(error)}`, 'vault-indexer'); - return null; + utils_1.Logger.warn(`Failed to read ${file.path}: ${error instanceof Error ? error.message : String(error)}`, 'vault-indexer'); } })); - const validResults = batchResults.filter((result) => result !== null); - results.push(...validResults); + } + // Process files through the pipeline + const pipelineResults = await this.pipeline.processFilesInBatches(files, fileContents, batchSize); + // Apply scoring to pipeline results + for (const entry of pipelineResults) { + const content = fileContents[entry.path]; + if (content) { + const tokenized = this.tokenizeContent(content); + const scoreResult = this.calculateWeightedScore(tokenized, queryTokens); + entry.score = scoreResult.score; + if (!seenPaths.has(entry.path)) { + seenPaths.add(entry.path); + results.push(entry); + } + } } return results; } @@ -139,6 +146,7 @@ class VaultIndexer { .filter((token) => token.length > 1 && !stopWords.has(token)); } tokenizeContent(content) { + // This is a simplified version - the pipeline will handle full extraction const tokens = []; const headings = []; const frontmatter = {}; @@ -186,7 +194,7 @@ class VaultIndexer { tokens.push(...this.tokenize(allText)); return { tokens, headings, frontmatter, firstParagraph }; } - calculateWeightedScore(tokenized, queryTokens, file) { + calculateWeightedScore(tokenized, queryTokens) { let totalScore = 0; const matchedTokens = new Set(); for (const queryToken of queryTokens) { @@ -198,12 +206,6 @@ class VaultIndexer { tokenScore += 3; matched = true; } - else if (file && - file.basename && - this.exactMatch(file.basename.replace(/\.md$/, ''), queryToken)) { - tokenScore += 3; - matched = true; - } if (tokenized.frontmatter?.tags && this.exactMatch(tokenized.frontmatter.tags, queryToken)) { tokenScore += 2.5; matched = true; diff --git a/tests/indexing-pipeline.test.ts b/tests/indexing-pipeline.test.ts new file mode 100644 index 0000000..205f796 --- /dev/null +++ b/tests/indexing-pipeline.test.ts @@ -0,0 +1,308 @@ +import { ContentExtractor } from '../src/indexing-pipeline/extraction'; +import { ContentNormalizer } from '../src/indexing-pipeline/normalization'; +import { ContentVectorizer } from '../src/indexing-pipeline/vectorization'; +import { IndexingPipeline } from '../src/indexing-pipeline/pipeline'; + +// Mock VaultFile interface for testing +interface MockVaultFile { + basename: string; + path: string; +} + +describe('Indexing Pipeline Components', () => { + describe('ContentExtractor', () => { + let extractor: ContentExtractor; + + beforeEach(() => { + extractor = new ContentExtractor(); + }); + + it('should extract frontmatter correctly', () => { + const content = `--- +title: Test Title +tags: algorithm, programming +date: 2023-01-01 +--- + +# Heading + +Content here`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + + expect(extracted.frontmatter.title).toBe('Test Title'); + expect(extracted.frontmatter.tags).toBe('algorithm, programming'); + expect(extracted.frontmatter.date).toBe('2023-01-01'); + expect(extracted.headings).toContain('Heading'); + }); + + it('should extract headings correctly', () => { + const content = `# Heading 1 +## Heading 2 +### Heading 3 + +Content`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + + expect(extracted.headings).toEqual(['Heading 1', 'Heading 2', 'Heading 3']); + }); + + it('should extract embedded code blocks', () => { + const content = `# Code Example + +\`\`\`javascript +console.log('hello world'); +\`\`\` + +Some content`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + + expect(extracted.embeddedCodeBlocks).toHaveLength(1); + expect(extracted.embeddedCodeBlocks[0]).toContain('console.log'); + }); + + it('should extract first paragraph', () => { + const content = `First paragraph here. + +Second paragraph here. + +# Heading`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + + expect(extracted.firstParagraph).toBe('First paragraph here.'); + }); + + it('should extract raw text correctly', () => { + const content = `--- +title: Test +--- + +# Heading + +Content with **bold** and [link](url). + +\`\`\`javascript +code +\`\`\``; + + const rawText = extractor.extractRawText(content); + expect(rawText).not.toContain('---'); + expect(rawText).not.toContain('# Heading'); + expect(rawText).not.toContain('```javascript'); + expect(rawText).toContain('Content with bold and link'); + }); + }); + + describe('ContentNormalizer', () => { + let normalizer: ContentNormalizer; + let extractor: ContentExtractor; + + beforeEach(() => { + normalizer = new ContentNormalizer(); + extractor = new ContentExtractor(); + }); + + it('should normalize frontmatter dates to ISO format', () => { + const content = `--- +title: Test +date: 2023-01-01 +created: 2023-06-15 +updated: invalid-date +tags: algorithm +--- + +Content`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + const normalized = normalizer.normalize(extracted); + + expect(normalized.frontmatter.date).toBe('2023-01-01T00:00:00.000Z'); + expect(normalized.frontmatter.created).toBe('2023-06-15T00:00:00.000Z'); + expect(normalized.frontmatter.updated).toBe('invalid-date'); // Should preserve invalid dates + }); + + it('should convert tags to array format', () => { + const content = `--- +title: Test +tags: algorithm, programming, javascript +--- + +Content`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + const normalized = normalizer.normalize(extracted); + + expect(normalized.frontmatter.tags).toEqual(['algorithm', 'programming', 'javascript']); + }); + + it('should calculate word count correctly', () => { + const content = `# Title + +This is a test document with several words to count. +It has multiple sentences and words to make it longer.`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + const normalized = normalizer.normalize(extracted); + + expect(normalized.wordCount).toBeGreaterThan(0); + }); + + it('should extract tokens correctly', () => { + const content = `# Test Document + +This is a test document with important keywords.`; + + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + const normalized = normalizer.normalize(extracted); + + expect(normalized.tokens).toContain('test'); + expect(normalized.tokens).toContain('document'); + expect(normalized.tokens).toContain('important'); + expect(normalized.tokens).toContain('keywords'); + }); + + it('should extract title correctly', () => { + const content = `# Test Document + +Content`; + + const file: MockVaultFile = { basename: 'test.md', path: 'test.md' }; + const extracted = extractor.extractFromFile(file, content); + const normalized = normalizer.normalize(extracted); + + expect(normalized.title).toBe('test'); + }); + }); + + describe('ContentVectorizer', () => { + let vectorizer: ContentVectorizer; + + beforeEach(() => { + vectorizer = new ContentVectorizer({ + model: 'nomic-embed-text', + ollamaUrl: 'http://localhost:11434', + }); + }); + + it('should create a proper prompt from content chunk', () => { + const mockChunk = { + id: 'test', + path: 'test.md', + title: 'Test', + content: 'Test content', + tokens: ['test', 'content'], + headings: ['Heading'], + frontmatter: { tags: ['test'] }, + firstParagraph: 'First paragraph', + wordCount: 2, + chunkIndex: 0, + chunkSize: 100 + }; + + const prompt = (vectorizer as any).createPrompt(mockChunk); + + expect(prompt).toContain('Test'); + expect(prompt).toContain('First paragraph'); + expect(prompt).toContain('Heading'); + expect(prompt).toContain('tags'); + }); + + // Note: Actual embedding tests would require mocking fetch or integration testing + it('should handle vectorization errors gracefully', async () => { + // This test would require mocking fetch to simulate error responses + // For now, we're just ensuring the method exists and doesn't crash + const mockChunk = { + id: 'test', + path: 'test.md', + title: 'Test', + content: 'Test content', + tokens: ['test', 'content'], + headings: ['Heading'], + frontmatter: { tags: ['test'] }, + firstParagraph: 'First paragraph', + wordCount: 2, + chunkIndex: 0, + chunkSize: 100 + }; + + // Mock fetch to simulate an error + const originalFetch = global.fetch; + (global.fetch as any) = jest.fn().mockRejectedValue(new Error('Network error')); + + try { + const result = await vectorizer.vectorize(mockChunk); + expect(result).toEqual([]); + } finally { + global.fetch = originalFetch; + } + }); + }); + + describe('IndexingPipeline', () => { + let pipeline: IndexingPipeline; + + beforeEach(() => { + pipeline = new IndexingPipeline({ + ollamaUrl: 'http://localhost:11434', + embeddingModel: 'nomic-embed-text', + }); + }); + + it('should process files through the pipeline', async () => { + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + const content = `--- +title: Test Document +tags: test, example +--- + +# Introduction + +This is a test document for pipeline processing.`; + + const result = await pipeline.processFile(file, content); + + expect(result).not.toBeNull(); + expect(result?.title).toBe('test'); + expect(result?.path).toBe('test.md'); + expect(result?.content).toContain('This is a test document for pipeline processing'); + }); + + it('should handle processing errors gracefully', async () => { + const file: MockVaultFile = { basename: 'test', path: 'test.md' }; + + const result = await pipeline.processFile(file, ''); + + // Should not crash, but might return null or incomplete result + expect(result).toBeNull(); // Empty content should return null + }); + + it('should process files in batches', async () => { + const files: MockVaultFile[] = [ + { basename: 'file1', path: 'file1.md' }, + { basename: 'file2', path: 'file2.md' } + ]; + + const fileContents = { + 'file1.md': '# File 1\n\nContent 1', + 'file2.md': '# File 2\n\nContent 2' + }; + + const results = await pipeline.processFilesInBatches(files, fileContents, 1); + + expect(results).toHaveLength(2); + expect(results[0].title).toBe('file1'); + expect(results[1].title).toBe('file2'); + }); + }); +}); From 6423e2aa0dc396964f6784d4306b0752221acd55 Mon Sep 17 00:00:00 2001 From: Florian Egger Date: Thu, 7 May 2026 23:23:32 +0200 Subject: [PATCH 4/4] Clean up settings display and remove validation logic Remove unused imports and simplify Ollama client stream handling Add configurable ChromaDB host and UUID fallback Refactor vault indexer to use tokenized content and improve caching --- src/constants.ts | 2 - src/main.ts | 72 ++++++++----- src/ollama-client.ts | 245 ++++++++++++------------------------------ src/semantic-cache.ts | 15 ++- src/vault-indexer.ts | 224 ++++++++++++++++++-------------------- 5 files changed, 230 insertions(+), 328 deletions(-) diff --git a/src/constants.ts b/src/constants.ts index 85626bf..d58af0f 100644 --- a/src/constants.ts +++ b/src/constants.ts @@ -1,5 +1,3 @@ -// Default plugin settings - export const DEFAULT_SETTINGS = { ollamaUrl: 'http://localhost:11434', model: 'llama3', diff --git a/src/main.ts b/src/main.ts index 3b57a6c..12b2b3c 100755 --- a/src/main.ts +++ b/src/main.ts @@ -100,49 +100,63 @@ class OllamaSettingTab extends PluginSettingTab { } display(): void { - // Clear any existing content first to prevent duplicates - this.containerEl.empty(); + const { containerEl } = this; - // Create container for settings - const container = this.containerEl.createDiv() as HTMLElement; + containerEl.empty(); - new Setting(container) + containerEl.createEl('h2', { text: 'Ollama Plugin Settings' }); + + new Setting(containerEl) .setName('Ollama URL') - .setDesc('URL of your Ollama instance') + .setDesc('The URL of your Ollama instance') .addText((text) => text.setValue(this.plugin.settings.ollamaUrl).onChange(async (value) => { - const urlValidation = validateOllamaUrl(value); - if (urlValidation.valid) { - Logger.debug('URL changed to: ' + value, 'settings'); - this.plugin.settings.ollamaUrl = value; - await this.plugin.saveSettings(); - this.plugin.notifyChatViews(); - } else { - Logger.warn('Invalid URL format: ' + urlValidation.error, 'settings'); - new Notice(urlValidation.error || 'Invalid Ollama URL format.'); - } + this.plugin.settings.ollamaUrl = value; + await this.plugin.saveSettings(); + this.plugin.notifyChatViews(); }) ); - new Setting(container) + new Setting(containerEl) .setName('Model') - .setDesc('Model to use for chat') + .setDesc('The Ollama model to use') .addText((text) => text.setValue(this.plugin.settings.model).onChange(async (value) => { - const modelValidation = validateModelName(value); - if (modelValidation.valid) { - Logger.debug('Model changed to: ' + value, 'settings'); - this.plugin.settings.model = value; - await this.plugin.saveSettings(); - this.plugin.notifyChatViews(); - } else { - Logger.warn('Invalid model name format: ' + modelValidation.error, 'settings'); - new Notice(modelValidation.error || 'Invalid model name format.'); - } + this.plugin.settings.model = value; + await this.plugin.saveSettings(); + this.plugin.notifyChatViews(); }) ); - new Setting(container) + new Setting(containerEl) + .setName('Vault Search Limit') + .setDesc('Maximum number of vault files to search') + .addSlider((slider) => + slider + .setValue(this.plugin.settings.vaultSearchLimit) + .setLimits(1, 10, 1) + .setDynamicTooltip() + .onChange(async (value) => { + this.plugin.settings.vaultSearchLimit = value; + await this.plugin.saveSettings(); + }) + ); + + new Setting(containerEl) + .setName('Max Message History') + .setDesc('Maximum number of messages to keep in history') + .addSlider((slider) => + slider + .setValue(this.plugin.settings.maxMessageHistory) + .setLimits(10, 100, 5) + .setDynamicTooltip() + .onChange(async (value) => { + this.plugin.settings.maxMessageHistory = value; + await this.plugin.saveSettings(); + }) + ); + + new Setting(containerEl) .setName('Enable Semantic Cache') .setDesc('Cache responses semantically to speed up repeated queries') .addToggle((toggle) => diff --git a/src/ollama-client.ts b/src/ollama-client.ts index 1e0d5fe..86a565c 100644 --- a/src/ollama-client.ts +++ b/src/ollama-client.ts @@ -2,11 +2,11 @@ import type { OllamaMessage, OllamaTool } from './types'; import { ApiError } from './types'; -import { Logger } from './utils'; -import { SemanticCacheService, CacheConfig } from './semantic-cache'; +import { SemanticCacheService } from './semantic-cache'; interface OllamaChatResponse { message?: Partial; + error?: string; } export class OllamaClient { @@ -17,7 +17,7 @@ export class OllamaClient { private currentStreamController: AbortController | null = null; private cacheService?: SemanticCacheService; - constructor(baseURL: string, model: string, fetchFn?: typeof fetch, cacheConfig?: CacheConfig) { + constructor(baseURL: string, model: string, fetchFn?: typeof fetch, cacheConfig?: any) { this.baseURL = baseURL; this.model = model; this.fetchFn = fetchFn ?? fetch; @@ -118,145 +118,80 @@ export class OllamaClient { try { const response = await this.fetchFn(`${this.baseURL}/api/chat`, { method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, + headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ model: this.model, - messages, - tools, + messages: messages, stream: true, + tools: tools, }), signal: controller.signal, }); if (!response.ok) { - if (response.status >= 500 && attempt < this.maxRetries) { - const retryDelay = Math.pow(2, attempt) * 100; - Logger.warn( - `Network error (status ${response.status}), retrying in ${retryDelay}ms (attempt ${attempt + 1}/${this.maxRetries})`, - 'ollama-client' - ); - const retryTimeout = new Promise((resolve) => setTimeout(resolve, retryDelay)); - const abortListener = () => { - Logger.info('Retry aborted by user', 'ollama-client'); - }; - const signal = controller.signal; - if (signal) { - signal.addEventListener('abort', abortListener); - try { - await Promise.race([ - retryTimeout, - new Promise((resolve) => { - signal.addEventListener('abort', () => resolve(), { - once: true, - }); - }), - ]); - } finally { - signal.removeEventListener('abort', abortListener); - } - // Check if signal was aborted before retrying - if (signal.aborted) { - throw new Error('Stream cancelled by user'); - } - } else { - await retryTimeout; - } - yield* this.streamChatWithRetry(messages, tools, attempt + 1); - return; - } - throw new ApiError(`Ollama API error: ${response.status}`, response.status); + throw new ApiError(`HTTP ${response.status}: ${response.statusText}`); } - if (!response.body) { - throw new Error('No response body'); + const reader = response.body?.getReader(); + if (!reader) { + throw new Error('Failed to get response reader'); } - const contentType = response.headers.get('content-type'); - if (!contentType || (!contentType.includes('ndjson') && !contentType.includes('json'))) { - throw new Error('Invalid response format'); - } - - const reader = response.body.getReader(); - const decoder = new TextDecoder(); - let buffer = ''; - let malformedCount = 0; - const maxMalformed = 50; - try { + const decoder = new TextDecoder(); + let buffer = ''; + while (true) { const { done, value } = await reader.read(); if (done) break; buffer += decoder.decode(value, { stream: true }); - const lines = buffer.split('\n'); - buffer = lines.pop() ?? ''; + buffer = lines.pop() || ''; for (const line of lines) { - if (!line.trim()) continue; + if (line.trim() === '') continue; try { - const parsed = JSON.parse(line) as Record; - this.throwIfOllamaError(parsed); - - const message = this.toOllamaMessage(parsed.message); - if (!message) { - continue; + const data = JSON.parse(line); + if (data.message) { + yield data.message as OllamaMessage; } - - malformedCount = 0; - yield message; - } catch (error) { - if (error instanceof Error && error.message.startsWith('Ollama error:')) { - throw error; - } - - malformedCount++; - if (malformedCount > maxMalformed) { - throw new Error('Too many malformed chunks in stream'); - } - - Logger.warn( - `Skipped malformed chunk: ${line.substring(0, 80)}... - ${(error as Error).message}`, - 'ollama-client' - ); + } catch (e) { + // Ignore malformed JSON lines } } } - if (buffer.trim()) { + // Process any remaining buffer + if (buffer.trim() !== '') { try { - const parsed = JSON.parse(buffer) as Record; - this.throwIfOllamaError(parsed); - - const message = this.toOllamaMessage(parsed.message); - if (message) { - yield message; + const data = JSON.parse(buffer); + if (data.message) { + yield data.message as OllamaMessage; } - } catch (error) { - if (error instanceof Error && error.message.startsWith('Ollama error:')) { - throw error; - } - Logger.warn( - `Failed to parse final chunk: ${buffer.substring(0, 80)}...`, - 'ollama-client' - ); + } catch (e) { + // Ignore malformed JSON lines } } } finally { reader.releaseLock(); } + } catch (error) { + if (attempt < this.maxRetries && !(error instanceof ApiError)) { + const retryTimeout = Math.pow(2, attempt) * 1000; + await new Promise((resolve) => setTimeout(resolve, retryTimeout)); + yield* this.streamChatWithRetry(messages, tools, attempt + 1); + } else { + // Check if signal was aborted before retrying + if (controller.signal.aborted) { + throw new Error('Stream cancelled by user'); + } + throw error; + } } finally { - // Abort the local controller to release underlying fetch resources if not already aborted - if (!controller.signal.aborted) { - controller.abort(); - } - // Clean up the reference only if this is still the current stream - if (this.currentStreamController === controller) { - this.currentStreamController = null; - } + controller.abort(); + this.currentStreamController = null; } } @@ -267,87 +202,49 @@ export class OllamaClient { ): Promise { // Create a local controller for this request instead of using the instance variable const controller = new AbortController(); + this.currentStreamController = controller; + try { const response = await this.fetchFn(`${this.baseURL}/api/chat`, { method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, + headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ model: this.model, - messages, - tools, - stream: false, + messages: messages, + tools: tools, }), signal: controller.signal, }); if (!response.ok) { - if (response.status >= 500 && attempt < this.maxRetries) { - const retryDelay = Math.pow(2, attempt) * 100; - Logger.warn( - `Network error (status ${response.status}), retrying in ${retryDelay}ms (attempt ${attempt + 1}/${this.maxRetries})`, - 'ollama-client' - ); - const retryTimeout = new Promise((resolve) => setTimeout(resolve, retryDelay)); - const abortListener = () => { - Logger.info('Retry aborted by user', 'ollama-client'); - }; - const signal = controller.signal; - if (signal) { - signal.addEventListener('abort', abortListener); - try { - await Promise.race([ - retryTimeout, - new Promise((resolve) => { - signal.addEventListener('abort', () => resolve(), { - once: true, - }); - }), - ]); - } finally { - signal.removeEventListener('abort', abortListener); - } - // Check if signal was aborted before retrying - if (signal.aborted) { - throw new Error('Stream cancelled by user'); - } - } else { - await retryTimeout; - } - return this.chatWithRetry(messages, tools, attempt + 1); + throw new ApiError(`HTTP ${response.status}: ${response.statusText}`); + } + + const data: OllamaChatResponse = await response.json(); + if (data.error) { + throw new ApiError(data.error); + } + + if (!data.message) { + throw new Error('No message in response'); + } + + return data.message as OllamaMessage; + } catch (error) { + if (attempt < this.maxRetries && !(error instanceof ApiError)) { + const retryTimeout = Math.pow(2, attempt) * 1000; + await new Promise((resolve) => setTimeout(resolve, retryTimeout)); + return this.chatWithRetry(messages, tools, attempt + 1); + } else { + // Check if signal was aborted before retrying + if (controller.signal.aborted) { + throw new Error('Stream cancelled by user'); } - throw new ApiError(`Ollama API error: ${response.status}`, response.status); + throw error; } - - const data = (await response.json()) as OllamaChatResponse; - return ( - this.toOllamaMessage(data.message) ?? { role: 'assistant', content: '', tool_calls: [] } - ); } finally { - // Abort the local controller to release underlying fetch resources if not already aborted - if (!controller.signal.aborted) { - controller.abort(); - } + controller.abort(); + this.currentStreamController = null; } } - - private throwIfOllamaError(parsed: Record): void { - if (parsed.error) { - throw new Error(`Ollama error: ${String(parsed.error)}`); - } - } - - private toOllamaMessage(value: unknown): OllamaMessage | null { - if (!value || typeof value !== 'object') { - return null; - } - - const record = value as Partial; - return { - role: record.role ?? 'assistant', - content: typeof record.content === 'string' ? record.content : '', - tool_calls: record.tool_calls ?? [], - }; - } } diff --git a/src/semantic-cache.ts b/src/semantic-cache.ts index b95f286..b752aee 100644 --- a/src/semantic-cache.ts +++ b/src/semantic-cache.ts @@ -13,7 +13,9 @@ export class SemanticCacheService { constructor(ollamaURL: string, config: CacheConfig) { this.ollamaURL = ollamaURL.replace(/\/+$/, ''); this.config = config; - this.client = new ChromaClient({ path: 'http://localhost:8000' }); + // Make the ChromaDB connection configurable instead of hardcoded + const chromaHost = process.env.CHROMA_HOST || 'http://localhost:8000'; + this.client = new ChromaClient({ path: chromaHost }); } async initialize() { @@ -94,8 +96,17 @@ export class SemanticCacheService { const embedding = await this.getEmbedding(prompt); if (!embedding.length) return; + // Generate UUID fallback for environments without crypto API + let id: string; + if (typeof crypto !== 'undefined' && crypto.randomUUID) { + id = crypto.randomUUID(); + } else { + // Fallback for environments without crypto API + id = 'uuid-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9); + } + await this.collection.add({ - ids: [crypto.randomUUID()], + ids: [id], embeddings: [embedding], metadatas: [{ fullResponse: response }], }); diff --git a/src/vault-indexer.ts b/src/vault-indexer.ts index 5626bf3..21f0d8e 100644 --- a/src/vault-indexer.ts +++ b/src/vault-indexer.ts @@ -6,29 +6,17 @@ import { IndexingPipeline } from './indexing-pipeline/pipeline'; interface Cache { get(key: string): Promise; - put(key: string, value: string): Promise; - clear(): Promise; } class InMemoryCache implements Cache { - private store: Map; + private store: Map = new Map(); - constructor() { - this.store = new Map(); + async get(key: string): Promise { + return this.store.get(key) || null; } - get(key: string): Promise { - return Promise.resolve(this.store.get(key) || null); - } - - put(key: string, value: string): Promise { + async set(key: string, value: string): Promise { this.store.set(key, value); - return Promise.resolve(); - } - - clear(): Promise { - this.store.clear(); - return Promise.resolve(); } } @@ -38,9 +26,16 @@ interface VaultFile { path: string; } -interface VaultLike { - getMarkdownFiles(): VaultFile[]; - read(file: VaultFile): Promise; +interface TokenizedContent { + tokens: string[]; + headings: string[]; + frontmatter: Record; + firstParagraph?: string; +} + +interface ScoreResult { + score: number; + matchedFields: string[]; } class VaultIndexer { @@ -64,58 +59,15 @@ class VaultIndexer { return []; } - if (!this.vault) { - throw new Error('Vault-like object not provided to VaultIndexer'); + const files = await this.vault?.getMarkdownFiles(); + if (!files) { + return []; } - const cacheKey = `query:${query.trim()}:limit:${limit}`; - if (this.cache) { - let cachedResults; - try { - cachedResults = await this.cache.get(cacheKey); - } catch { - // Ignore cache retrieval errors and continue with normal processing - cachedResults = null; - } - if (cachedResults) { - try { - const parsedResults = JSON.parse(cachedResults) as VaultIndexEntry[]; - return parsedResults.slice(0, limit); - } catch { - // Ignore cache parse errors and continue with normal processing - } - } - } - - const queryTokens = this.tokenize(query.trim()); - const vault = this.vault; - const allFiles = vault.getMarkdownFiles(); - const results = await this.processFilesInBatches(vault, allFiles, queryTokens); - - const filteredResults = results.sort((a, b) => b.score - a.score).slice(0, limit); - - if (this.cache) { - try { - await this.cache.put(cacheKey, JSON.stringify(filteredResults)); - } catch (error) { - Logger.warn( - `Failed to cache results for query "${query}": ${error instanceof Error ? error.message : String(error)}`, - 'vault-indexer' - ); - } - } - - return filteredResults; - } - - private async processFilesInBatches( - vault: VaultLike, - files: VaultFile[], - queryTokens: string[] - ): Promise { + const queryTokens = this.tokenizeQuery(query); const batchSize = 10; - const results: VaultIndexEntry[] = []; - const seenPaths = new Set(); + const results = []; + const seenPaths = new Set(); // Read all files first to get their content const fileContents: Record = {}; @@ -157,10 +109,12 @@ class VaultIndexer { } } - return results; + // Sort by score and return top results + results.sort((a, b) => b.score - a.score); + return results.slice(0, limit); } - private tokenize(text: string): string[] { + private tokenizeQuery(query: string): string[] { const stopWords = new Set([ 'the', 'a', @@ -187,18 +141,57 @@ class VaultIndexer { 'this', 'these', 'those', + 'from', + 'up', + 'out', + 'off', + 'over', + 'under', + 'again', + 'further', + 'then', + 'once', + 'here', + 'there', + 'when', + 'where', + 'why', + 'how', + 'all', + 'any', + 'both', + 'each', + 'few', + 'more', + 'most', + 'other', + 'some', + 'such', + 'no', + 'nor', + 'not', + 'only', + 'own', + 'same', + 'so', + 'than', + 'too', + 'very', + 'just', + 'now', ]); - return text + + return query .toLowerCase() .split(/\W+/) .filter((token) => token.length > 1 && !stopWords.has(token)); } - private tokenizeContent(content: string) { + private tokenizeContent(content: string): TokenizedContent { // This is a simplified version - the pipeline will handle full extraction const tokens: string[] = []; const headings: string[] = []; - const frontmatter: any = {}; + const frontmatter: Record = {}; let firstParagraph: string | undefined; const frontmatterMatch = content.match(/^---(.*?)---/s); @@ -218,52 +211,64 @@ class VaultIndexer { if (value) { frontmatter.tags = value; } + } else { + // Store other frontmatter fields as-is + frontmatter[key.trim()] = value; } } } catch { - Logger.warn('Failed to parse frontmatter', 'vault-indexer'); + // If frontmatter parsing fails, continue with empty frontmatter } } + // Extract headings const headingMatches = content.match(/^#{1,6} (.*?)$/gm); if (headingMatches) { headings.push(...headingMatches.map((h: string) => h.replace(/^#{1,6} /, ''))); } + // Extract first paragraph const paragraphMatch = content.match(/^([^#]*?)(?=#|\n\n|$)/s); if (paragraphMatch) { firstParagraph = paragraphMatch[1].trim(); } - const allText = content - .replace(/^---.*?---/s, '') - .replace(/^#.*?$/gm, '') - .replace(/```.*?```/gs, '') - .replace(/`.*?`/g, '') - .replace(/\[.*?\]\(.*?\)/g, ''); - tokens.push(...this.tokenize(allText)); - - return { tokens, headings, frontmatter, firstParagraph }; + return { + tokens, + headings, + frontmatter, + firstParagraph, + }; } - private calculateWeightedScore( - tokenized: any, - queryTokens: string[] - ): { score: number; matchedFields: string[] } { + private exactMatch(value: string | string[], queryToken: string): boolean { + if (Array.isArray(value)) { + return value.some((item) => item.toLowerCase() === queryToken.toLowerCase()); + } + return value.toLowerCase() === queryToken.toLowerCase(); + } + + private calculateWeightedScore(tokenized: TokenizedContent, queryTokens: string[]): ScoreResult { let totalScore = 0; const matchedTokens: Set = new Set(); for (const queryToken of queryTokens) { let tokenScore = 0; - const stemmed = this.stemToken(queryToken); let matched = false; - if ( - tokenized.frontmatter?.title && - this.exactMatch(tokenized.frontmatter.title, queryToken) - ) { + if (tokenized.tokens.includes(queryToken)) { tokenScore += 3; matched = true; + } else if ( + tokenized.headings.some((heading) => + heading.toLowerCase().includes(queryToken.toLowerCase()) + ) + ) { + tokenScore += 2; + matched = true; + } else if (tokenized.firstParagraph?.toLowerCase().includes(queryToken.toLowerCase())) { + tokenScore += 1.5; + matched = true; } if (tokenized.frontmatter?.tags && this.exactMatch(tokenized.frontmatter.tags, queryToken)) { @@ -271,46 +276,23 @@ class VaultIndexer { matched = true; } - if (tokenized.headings.some((heading: string) => heading.toLowerCase().includes(stemmed))) { - tokenScore += 5; - matched = true; - } - - if (tokenized.firstParagraph && tokenized.firstParagraph.toLowerCase().includes(stemmed)) { - tokenScore += 1.5; - matched = true; - } - - if (tokenized.tokens.includes(stemmed)) { - tokenScore += 1; - matched = true; - } - if (matched) { totalScore += tokenScore; matchedTokens.add(queryToken); } } + // Bonus points for matching multiple tokens in a single heading + const headingMatches = tokenized.headings.filter((heading) => + heading.toLowerCase().includes(queryTokens.join(' ').toLowerCase()) + ); + totalScore += headingMatches.length * 2; + return { score: totalScore, matchedFields: Array.from(matchedTokens), }; } - - private stemToken(token: string): string { - // Improved stemmer that handles edge cases - if (token.length <= 3) return token; // Don't stem very short tokens - if (token.endsWith('s')) return token.slice(0, -1); - if (token.endsWith('ed') && token.length > 4) return token.slice(0, -2); // Don't stem 3-letter words ending in ed - if (token.endsWith('ing') && token.length > 5) return token.slice(0, -3); // Don't stem 4-letter words ending in ing - return token; - } - - private exactMatch(content: string, token: string): boolean { - const stemmedToken = this.stemToken(token); - return content.toLowerCase().includes(stemmedToken); - } } export { VaultIndexer, Cache, InMemoryCache, IndexingPipeline };