Update ai validation to use gpt-5 and the new responses api
This commit is contained in:
133
inventory-server/package-lock.json
generated
133
inventory-server/package-lock.json
generated
@@ -20,7 +20,7 @@
|
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"express": "^4.18.2",
|
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"multer": "^1.4.5-lts.1",
|
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"mysql2": "^3.12.0",
|
||||
"openai": "^4.85.3",
|
||||
"openai": "^6.0.0",
|
||||
"pg": "^8.14.1",
|
||||
"pm2": "^5.3.0",
|
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"ssh2": "^1.16.0",
|
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@@ -399,43 +399,12 @@
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"license": "MIT",
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"dependencies": {
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||||
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|
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|
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"license": "MIT",
|
||||
"dependencies": {
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"@types/node": "*",
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"form-data": "^4.0.0"
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"license": "ISC"
|
||||
},
|
||||
"node_modules/abort-controller": {
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"license": "MIT",
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"dependencies": {
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"event-target-shim": "^5.0.0"
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"node_modules/accepts": {
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"version": "1.3.8",
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"resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz",
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@@ -458,18 +427,6 @@
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"node": ">= 14"
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}
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},
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"node_modules/agentkeepalive": {
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"version": "4.6.0",
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"resolved": "https://registry.npmjs.org/agentkeepalive/-/agentkeepalive-4.6.0.tgz",
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"integrity": "sha512-kja8j7PjmncONqaTsB8fQ+wE2mSU2DJ9D4XKoJ5PFWIdRMa6SLSN1ff4mOr4jCbfRSsxR4keIiySJU0N9T5hIQ==",
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"license": "MIT",
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"dependencies": {
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"humanize-ms": "^1.2.1"
|
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},
|
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"engines": {
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"node": ">= 8.0.0"
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"node_modules/amp": {
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"version": "0.3.1",
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"resolved": "https://registry.npmjs.org/amp/-/amp-0.3.1.tgz",
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@@ -1327,15 +1284,6 @@
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"node": ">= 0.6"
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}
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},
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"node_modules/event-target-shim": {
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"version": "5.0.1",
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"resolved": "https://registry.npmjs.org/event-target-shim/-/event-target-shim-5.0.1.tgz",
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"license": "MIT",
|
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"engines": {
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"node_modules/eventemitter2": {
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"version": "5.0.1",
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"resolved": "https://registry.npmjs.org/eventemitter2/-/eventemitter2-5.0.1.tgz",
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@@ -1474,25 +1422,6 @@
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"node": ">= 6"
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}
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},
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"node_modules/form-data-encoder": {
|
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"version": "1.7.2",
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"resolved": "https://registry.npmjs.org/form-data-encoder/-/form-data-encoder-1.7.2.tgz",
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||||
"license": "MIT"
|
||||
},
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||||
"node_modules/formdata-node": {
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||||
"version": "4.4.1",
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"resolved": "https://registry.npmjs.org/formdata-node/-/formdata-node-4.4.1.tgz",
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"integrity": "sha512-0iirZp3uVDjVGt9p49aTaqjk84TrglENEDuqfdlZQ1roC9CWlPk6Avf8EEnZNcAqPonwkG35x4n3ww/1THYAeQ==",
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"license": "MIT",
|
||||
"dependencies": {
|
||||
"node-domexception": "1.0.0",
|
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"web-streams-polyfill": "4.0.0-beta.3"
|
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},
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"engines": {
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"node": ">= 12.20"
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}
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"node_modules/forwarded": {
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"version": "0.2.0",
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"resolved": "https://registry.npmjs.org/forwarded/-/forwarded-0.2.0.tgz",
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@@ -1853,15 +1782,6 @@
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"integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==",
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"license": "MIT"
|
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},
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"node_modules/humanize-ms": {
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"version": "1.2.1",
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"resolved": "https://registry.npmjs.org/humanize-ms/-/humanize-ms-1.2.1.tgz",
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"integrity": "sha512-Fl70vYtsAFb/C06PTS9dZBo7ihau+Tu/DNCk/OyHhea07S+aeMWpFFkUaXRa8fI+ScZbEI8dfSxwY7gxZ9SAVQ==",
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"license": "MIT",
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"dependencies": {
|
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"ms": "^2.0.0"
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}
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},
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"node_modules/iconv-lite": {
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"version": "0.4.24",
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"resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz",
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@@ -2407,25 +2327,6 @@
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"integrity": "sha512-eh0GgfEkpnoWDq+VY8OyvYhFEzBk6jIYbRKdIlyTiAXIVJ8PyBaKb0rp7oDtoddbdoHWhq8wwr+XZ81F1rpNdA==",
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"license": "MIT"
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},
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"node_modules/node-domexception": {
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"version": "1.0.0",
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"resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
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"integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
|
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"funding": [
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{
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"type": "github",
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"url": "https://github.com/sponsors/jimmywarting"
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},
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{
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"type": "github",
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"url": "https://paypal.me/jimmywarting"
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}
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],
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"license": "MIT",
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"engines": {
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"node": ">=10.5.0"
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"node_modules/node-fetch": {
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"version": "2.7.0",
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"resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
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@@ -2622,25 +2523,16 @@
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}
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},
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"node_modules/openai": {
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"version": "4.85.3",
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"version": "6.0.0",
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"resolved": "https://registry.npmjs.org/openai/-/openai-6.0.0.tgz",
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"license": "Apache-2.0",
|
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"dependencies": {
|
||||
"@types/node": "^18.11.18",
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"@types/node-fetch": "^2.6.4",
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"abort-controller": "^3.0.0",
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"agentkeepalive": "^4.2.1",
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"form-data-encoder": "1.7.2",
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"formdata-node": "^4.3.2",
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"node-fetch": "^2.6.7"
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},
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"bin": {
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"openai": "bin/cli"
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},
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"peerDependencies": {
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"ws": "^8.18.0",
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"zod": "^3.23.8"
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"zod": "^3.25 || ^4.0"
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},
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"peerDependenciesMeta": {
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"ws": {
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@@ -3941,12 +3833,6 @@
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"dev": true,
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"license": "MIT"
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},
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"node_modules/undici-types": {
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"version": "5.26.5",
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"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
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"node_modules/unpipe": {
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"version": "1.0.0",
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"resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
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@@ -4017,15 +3903,6 @@
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"lodash": "^4.17.14"
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}
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},
|
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"node_modules/web-streams-polyfill": {
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"version": "4.0.0-beta.3",
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"license": "MIT",
|
||||
"engines": {
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"node": ">= 14"
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}
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},
|
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"node_modules/webidl-conversions": {
|
||||
"version": "3.0.1",
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"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
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@@ -29,7 +29,7 @@
|
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"express": "^4.18.2",
|
||||
"multer": "^1.4.5-lts.1",
|
||||
"mysql2": "^3.12.0",
|
||||
"openai": "^4.85.3",
|
||||
"openai": "^6.0.0",
|
||||
"pg": "^8.14.1",
|
||||
"pm2": "^5.3.0",
|
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"ssh2": "^1.16.0",
|
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|
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@@ -6,7 +6,7 @@ const path = require("path");
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const dotenv = require("dotenv");
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const mysql = require('mysql2/promise');
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const { Client } = require('ssh2');
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const { getDbConnection } = require('../utils/dbConnection'); // Import the optimized connection function
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const { getDbConnection, closeAllConnections } = require('../utils/dbConnection'); // Import the optimized connection function
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// Ensure environment variables are loaded
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dotenv.config({ path: path.join(__dirname, "../../.env") });
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@@ -19,6 +19,121 @@ if (!process.env.OPENAI_API_KEY) {
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console.error("Warning: OPENAI_API_KEY is not set in environment variables");
|
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}
|
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|
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async function createResponsesCompletion(payload) {
|
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if (!openai.responses?.create) {
|
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throw new Error(
|
||||
"OpenAI client does not expose responses.create; please verify the openai SDK version."
|
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);
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}
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return openai.responses.create(payload);
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}
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const AI_VALIDATION_SCHEMA_NAME = "ai_validation_response";
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const FLEXIBLE_PRIMITIVE_SCHEMAS = [
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{ type: "string" },
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{ type: "number" },
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{ type: "boolean" },
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{ type: "null" },
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];
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const FLEXIBLE_ARRAY_SCHEMA = {
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type: "array",
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items: {
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anyOf: FLEXIBLE_PRIMITIVE_SCHEMAS,
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},
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};
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const FLEXIBLE_OBJECT_SCHEMA = {
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type: "object",
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properties: {},
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patternProperties: {
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".+": {
|
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anyOf: [...FLEXIBLE_PRIMITIVE_SCHEMAS, FLEXIBLE_ARRAY_SCHEMA],
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},
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},
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additionalProperties: false,
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};
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const FLEXIBLE_VALUE_SCHEMA = {
|
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anyOf: [...FLEXIBLE_PRIMITIVE_SCHEMAS, FLEXIBLE_ARRAY_SCHEMA, FLEXIBLE_OBJECT_SCHEMA],
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};
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const AI_VALIDATION_JSON_SCHEMA = {
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type: "object",
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additionalProperties: false,
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required: [
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"correctedData",
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"changes",
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"warnings",
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"summary",
|
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"qualityNotes",
|
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"nextSteps",
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"metadata"
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],
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properties: {
|
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correctedData: {
|
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type: "array",
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items: {
|
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type: "object",
|
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properties: {},
|
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patternProperties: {
|
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".+": FLEXIBLE_VALUE_SCHEMA,
|
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},
|
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additionalProperties: false,
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},
|
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},
|
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changes: {
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type: "array",
|
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items: {
|
||||
type: "string",
|
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},
|
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default: [],
|
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},
|
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warnings: {
|
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type: "array",
|
||||
items: {
|
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type: "string",
|
||||
},
|
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default: [],
|
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},
|
||||
summary: {
|
||||
type: "string",
|
||||
default: "",
|
||||
},
|
||||
qualityNotes: {
|
||||
type: "array",
|
||||
items: {
|
||||
type: "string",
|
||||
},
|
||||
default: [],
|
||||
},
|
||||
nextSteps: {
|
||||
type: "array",
|
||||
items: {
|
||||
type: "string",
|
||||
},
|
||||
default: [],
|
||||
},
|
||||
metadata: {
|
||||
type: "object",
|
||||
properties: {},
|
||||
patternProperties: {
|
||||
".+": FLEXIBLE_VALUE_SCHEMA,
|
||||
},
|
||||
additionalProperties: false,
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
const AI_VALIDATION_TEXT_FORMAT = {
|
||||
type: "json_schema",
|
||||
name: AI_VALIDATION_SCHEMA_NAME,
|
||||
strict: true,
|
||||
schema: AI_VALIDATION_JSON_SCHEMA,
|
||||
};
|
||||
|
||||
// Debug endpoint for viewing prompt
|
||||
router.post("/debug", async (req, res) => {
|
||||
try {
|
||||
@@ -139,6 +254,12 @@ router.post("/debug", async (req, res) => {
|
||||
code: error.code || null,
|
||||
name: error.name || null
|
||||
});
|
||||
} finally {
|
||||
try {
|
||||
await closeAllConnections();
|
||||
} catch (closeError) {
|
||||
console.error("⚠️ Failed to close DB connections after debug request:", closeError);
|
||||
}
|
||||
}
|
||||
});
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|
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@@ -402,8 +523,9 @@ async function generateDebugResponse(productsToUse, res) {
|
||||
|
||||
console.log("Sending response with taxonomy stats:", response.taxonomyStats);
|
||||
return response;
|
||||
} finally {
|
||||
if (promptConnection) await promptConnection.end();
|
||||
} catch (promptLoadError) {
|
||||
console.error("Error loading prompt:", promptLoadError);
|
||||
throw promptLoadError;
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Error generating debug response:", error);
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||||
@@ -883,34 +1005,80 @@ router.post("/validate", async (req, res) => {
|
||||
console.log("🔄 Loading prompt with filtered taxonomy...");
|
||||
const promptData = await loadPrompt(connection, products, req.app.locals.pool);
|
||||
const fullUserPrompt = promptData.userContent + "\n" + JSON.stringify(products);
|
||||
const promptLength = promptData.systemInstructions.length + fullUserPrompt.length; // Store prompt length for performance metrics
|
||||
promptLength = promptData.systemInstructions.length + fullUserPrompt.length; // Store prompt length for performance metrics
|
||||
console.log("📝 Generated prompt length:", promptLength);
|
||||
console.log("📝 System instructions length:", promptData.systemInstructions.length);
|
||||
console.log("📝 User content length:", fullUserPrompt.length);
|
||||
|
||||
console.log("🤖 Sending request to OpenAI...");
|
||||
const completion = await openai.chat.completions.create({
|
||||
model: "gpt-4o",
|
||||
messages: [
|
||||
console.log("🤖 Sending request to OpenAI Responses API...");
|
||||
|
||||
// GPT-5 Responses API Configuration:
|
||||
// - Using "gpt-5" (reasoning model) for complex product validation
|
||||
// - reasoning.effort: "medium" balances quality and speed (minimal, low, medium, high)
|
||||
// - text.verbosity: "medium" provides balanced output detail (low, medium, high)
|
||||
// - max_output_tokens: 20000 ensures space for large product batches
|
||||
// Note: Responses API is the recommended endpoint for GPT-5 models
|
||||
const completion = await createResponsesCompletion({
|
||||
model: "gpt-5",
|
||||
input: [
|
||||
{
|
||||
role: "system",
|
||||
content: promptData.systemInstructions,
|
||||
role: "developer",
|
||||
content: `${promptData.systemInstructions}\n\nYou MUST respond with a single valid JSON object containing the following top-level keys: correctedData, changes, warnings, summary, qualityNotes, nextSteps, metadata.\n- correctedData: array of product objects reflecting the updated data.\n- changes: array of human-readable bullet points summarizing the nature of updates.\n- warnings: array of caveats or risks that still require review.\n- summary: a concise paragraph (<=75 words) describing overall data quality and improvements.\n- qualityNotes: array of short comments (<=40 words each) about validation quality or notable observations.\n- nextSteps: array of recommended manual follow-up actions (if none, provide an empty array).\n- metadata: object containing any supplemental machine-readable information (optional fields allowed).\nDo NOT include Markdown code fences or any text outside the JSON object.`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: fullUserPrompt,
|
||||
},
|
||||
],
|
||||
temperature: 0.2,
|
||||
response_format: { type: "json_object" },
|
||||
reasoning: {
|
||||
effort: "medium"
|
||||
},
|
||||
text: {
|
||||
verbosity: "medium",
|
||||
format: AI_VALIDATION_TEXT_FORMAT,
|
||||
},
|
||||
max_output_tokens: 20000,
|
||||
});
|
||||
|
||||
console.log("✅ Received response from OpenAI");
|
||||
const rawResponse = completion.choices[0].message.content;
|
||||
console.log("📄 Raw AI response length:", rawResponse.length);
|
||||
console.log("✅ Received response from OpenAI Responses API");
|
||||
|
||||
// Responses API structure: response has 'output' array with message objects
|
||||
const rawResponse = extractResponseText(completion);
|
||||
console.log("📄 Raw AI response length:", rawResponse ? rawResponse.length : 0);
|
||||
|
||||
if (!rawResponse) {
|
||||
throw new Error("OpenAI response did not include any text output");
|
||||
}
|
||||
|
||||
const responseModel = completion.model;
|
||||
const usage = completion.usage || {};
|
||||
|
||||
// GPT-5 Responses API provides detailed token usage including reasoning tokens
|
||||
const tokenUsageSummary = {
|
||||
prompt: usage.input_tokens ?? usage.prompt_tokens ?? null,
|
||||
completion: usage.output_tokens ?? usage.completion_tokens ?? null,
|
||||
total: usage.total_tokens ?? null,
|
||||
// GPT-5 reasoning tokens are in output_tokens_details
|
||||
reasoning: usage.output_tokens_details?.reasoning_tokens ?? usage.completion_tokens_details?.reasoning_tokens ?? null,
|
||||
// Also capture text generation tokens separately from reasoning
|
||||
textGeneration: usage.output_tokens_details?.text_generation_tokens ?? usage.completion_tokens_details?.text_generation_tokens ?? null,
|
||||
cachedPrompt: usage.input_tokens_details?.cached_tokens ?? usage.prompt_tokens_details?.cached_tokens ?? null,
|
||||
// Capture audio tokens if present (future GPT-5 feature)
|
||||
audioTokens: usage.output_tokens_details?.audio_tokens ?? usage.completion_tokens_details?.audio_tokens ?? null,
|
||||
};
|
||||
|
||||
// Extract reasoning_effort and verbosity that were actually applied
|
||||
const reasoningEffortApplied = completion.reasoning?.effort || "medium";
|
||||
const verbosityApplied = completion.text?.verbosity || "medium";
|
||||
|
||||
console.log("📊 Token usage summary:", tokenUsageSummary);
|
||||
console.log("🤖 Model dispatched:", responseModel);
|
||||
console.log("🧠 Reasoning effort applied:", reasoningEffortApplied);
|
||||
console.log("📝 Verbosity applied:", verbosityApplied);
|
||||
|
||||
try {
|
||||
const aiResponse = JSON.parse(rawResponse);
|
||||
const normalizedResponse = normalizeJsonResponse(rawResponse);
|
||||
const aiResponse = JSON.parse(normalizedResponse);
|
||||
console.log(
|
||||
"🔄 Parsed AI response with keys:",
|
||||
Object.keys(aiResponse)
|
||||
@@ -975,7 +1143,12 @@ router.post("/validate", async (req, res) => {
|
||||
const endTime = new Date();
|
||||
let performanceMetrics = {
|
||||
promptLength,
|
||||
productCount: products.length
|
||||
productCount: products.length,
|
||||
model: responseModel,
|
||||
tokenUsage: tokenUsageSummary,
|
||||
reasoningTokens: tokenUsageSummary.reasoning,
|
||||
reasoningEffort: reasoningEffortApplied,
|
||||
verbosity: verbosityApplied,
|
||||
};
|
||||
|
||||
try {
|
||||
@@ -1040,6 +1213,11 @@ router.post("/validate", async (req, res) => {
|
||||
let promptSources = null;
|
||||
|
||||
try {
|
||||
// Use the local PostgreSQL pool from the app
|
||||
const pool = req.app.locals.pool;
|
||||
if (!pool) {
|
||||
console.warn("⚠️ Local database pool not available for prompt sources");
|
||||
} else {
|
||||
// Get system prompt
|
||||
const systemPromptResult = await pool.query(`
|
||||
SELECT * FROM ai_prompts WHERE prompt_type = 'system'
|
||||
@@ -1070,25 +1248,14 @@ router.post("/validate", async (req, res) => {
|
||||
companyPrompts = companyPromptsResult.rows;
|
||||
}
|
||||
|
||||
// Find company names from taxonomy for the validation endpoint
|
||||
const companyPromptsWithNames = companyPrompts.map(prompt => {
|
||||
let companyName = "Unknown Company";
|
||||
if (taxonomy.companies && Array.isArray(taxonomy.companies)) {
|
||||
const companyData = taxonomy.companies.find(company =>
|
||||
String(company[0]) === String(prompt.company)
|
||||
);
|
||||
if (companyData && companyData[1]) {
|
||||
companyName = companyData[1];
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
// Format company prompts for response
|
||||
// Note: Company names would require re-fetching taxonomy data
|
||||
// For now, we include company ID only
|
||||
const companyPromptsWithNames = companyPrompts.map(prompt => ({
|
||||
id: prompt.id,
|
||||
company: prompt.company,
|
||||
companyName: companyName,
|
||||
prompt_text: prompt.prompt_text
|
||||
};
|
||||
});
|
||||
}));
|
||||
|
||||
// Set prompt sources
|
||||
if (generalPromptResult.rows.length > 0) {
|
||||
@@ -1118,6 +1285,7 @@ router.post("/validate", async (req, res) => {
|
||||
companyPrompts: companyPromptsWithNames
|
||||
};
|
||||
}
|
||||
}
|
||||
} catch (promptSourceError) {
|
||||
console.error("⚠️ Error getting prompt sources:", promptSourceError);
|
||||
// Don't fail the entire validation if just prompt sources retrieval fails
|
||||
@@ -1126,16 +1294,26 @@ router.post("/validate", async (req, res) => {
|
||||
// Include prompt sources in the response
|
||||
res.json({
|
||||
success: true,
|
||||
changeDetails: changeDetails,
|
||||
performanceMetrics: performanceMetrics || {
|
||||
...aiResponse,
|
||||
changeDetails,
|
||||
performanceMetrics:
|
||||
performanceMetrics || {
|
||||
// Fallback: calculate a simple estimate
|
||||
promptLength: promptLength,
|
||||
promptLength,
|
||||
processingTimeSeconds: Math.max(15, Math.round(promptLength / 1000)),
|
||||
isEstimate: true,
|
||||
productCount: products.length
|
||||
productCount: products.length,
|
||||
model: responseModel,
|
||||
tokenUsage: tokenUsageSummary,
|
||||
reasoningTokens: tokenUsageSummary.reasoning,
|
||||
reasoningEffort: reasoningEffortApplied,
|
||||
verbosity: verbosityApplied,
|
||||
},
|
||||
promptSources: promptSources,
|
||||
...aiResponse,
|
||||
promptSources,
|
||||
model: responseModel,
|
||||
tokenUsage: tokenUsageSummary,
|
||||
reasoningEffort: reasoningEffortApplied,
|
||||
verbosity: verbosityApplied,
|
||||
});
|
||||
} catch (parseError) {
|
||||
console.error("❌ Error parsing AI response:", parseError);
|
||||
@@ -1151,10 +1329,6 @@ router.post("/validate", async (req, res) => {
|
||||
success: false,
|
||||
error: "OpenAI API Error: " + openaiError.message,
|
||||
});
|
||||
} finally {
|
||||
// Clean up database connection and SSH tunnel
|
||||
if (connection) await connection.end();
|
||||
if (ssh) ssh.end();
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("❌ AI Validation Error:", error);
|
||||
@@ -1167,6 +1341,12 @@ router.post("/validate", async (req, res) => {
|
||||
success: false,
|
||||
error: error.message || "Error during AI validation",
|
||||
});
|
||||
} finally {
|
||||
try {
|
||||
await closeAllConnections();
|
||||
} catch (closeError) {
|
||||
console.error("⚠️ Failed to close DB connections after validation request:", closeError);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
@@ -1249,8 +1429,11 @@ router.get("/test-taxonomy", async (req, res) => {
|
||||
timestamp: new Date().toISOString()
|
||||
});
|
||||
} finally {
|
||||
if (connection) await connection.end();
|
||||
if (ssh) ssh.end();
|
||||
try {
|
||||
await closeAllConnections();
|
||||
} catch (closeError) {
|
||||
console.error("⚠️ Failed to close DB connections after test-taxonomy request:", closeError);
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Test taxonomy endpoint error:", error);
|
||||
@@ -1262,3 +1445,99 @@ router.get("/test-taxonomy", async (req, res) => {
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
|
||||
function extractResponseText(response) {
|
||||
if (!response) return "";
|
||||
|
||||
const outputs = [];
|
||||
if (Array.isArray(response.output)) {
|
||||
outputs.push(...response.output);
|
||||
}
|
||||
if (Array.isArray(response.outputs)) {
|
||||
outputs.push(...response.outputs);
|
||||
}
|
||||
|
||||
const segments = outputs.flatMap((output) => collectTextSegments(output?.content ?? output));
|
||||
|
||||
if (segments.length === 0 && typeof response.output_text === "string") {
|
||||
segments.push(response.output_text);
|
||||
}
|
||||
|
||||
if (segments.length === 0 && response.choices?.length) {
|
||||
segments.push(
|
||||
...collectTextSegments(response.choices?.[0]?.message?.content)
|
||||
);
|
||||
}
|
||||
|
||||
const text = segments.join("").trim();
|
||||
return text;
|
||||
}
|
||||
|
||||
function collectTextSegments(node) {
|
||||
if (node == null) return [];
|
||||
|
||||
if (typeof node === "string" || typeof node === "number" || typeof node === "boolean") {
|
||||
return [String(node)];
|
||||
}
|
||||
|
||||
if (Array.isArray(node)) {
|
||||
return node.flatMap(collectTextSegments);
|
||||
}
|
||||
|
||||
if (typeof node !== "object") {
|
||||
return [];
|
||||
}
|
||||
|
||||
const segments = [];
|
||||
|
||||
if (typeof node.text === "string") {
|
||||
segments.push(node.text);
|
||||
} else if (Array.isArray(node.text)) {
|
||||
segments.push(...node.text.flatMap(collectTextSegments));
|
||||
}
|
||||
|
||||
if (typeof node.content === "string") {
|
||||
segments.push(node.content);
|
||||
} else if (Array.isArray(node.content)) {
|
||||
segments.push(...node.content.flatMap(collectTextSegments));
|
||||
}
|
||||
|
||||
if (typeof node.output_text === "string") {
|
||||
segments.push(node.output_text);
|
||||
} else if (Array.isArray(node.output_text)) {
|
||||
segments.push(...node.output_text.flatMap(collectTextSegments));
|
||||
}
|
||||
|
||||
if (typeof node.value === "string") {
|
||||
segments.push(node.value);
|
||||
}
|
||||
|
||||
if (typeof node.data === "string") {
|
||||
segments.push(node.data);
|
||||
}
|
||||
|
||||
return segments;
|
||||
}
|
||||
|
||||
function normalizeJsonResponse(text) {
|
||||
if (!text || typeof text !== 'string') return text;
|
||||
let cleaned = text.trim();
|
||||
|
||||
if (cleaned.startsWith('```')) {
|
||||
const firstLineBreak = cleaned.indexOf('\n');
|
||||
if (firstLineBreak !== -1) {
|
||||
cleaned = cleaned.substring(firstLineBreak + 1);
|
||||
} else {
|
||||
cleaned = cleaned.replace(/^```/, '');
|
||||
}
|
||||
|
||||
const closingFenceIndex = cleaned.lastIndexOf('```');
|
||||
if (closingFenceIndex !== -1) {
|
||||
cleaned = cleaned.substring(0, closingFenceIndex);
|
||||
}
|
||||
|
||||
cleaned = cleaned.trim();
|
||||
}
|
||||
|
||||
return cleaned;
|
||||
}
|
||||
|
||||
493
inventory/package-lock.json
generated
493
inventory/package-lock.json
generated
@@ -1043,9 +1043,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint-community/eslint-utils": {
|
||||
"version": "4.4.1",
|
||||
"resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.4.1.tgz",
|
||||
"integrity": "sha512-s3O3waFUrMV8P/XaF/+ZTp1X9XBZW1a4B97ZnjQF2KYWaFD2A8KyFBsrsfSjEmjn3RGWAIuvlneuZm3CUK3jbA==",
|
||||
"version": "4.9.0",
|
||||
"resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.9.0.tgz",
|
||||
"integrity": "sha512-ayVFHdtZ+hsq1t2Dy24wCmGXGe4q9Gu3smhLYALJrr473ZH27MsnSL+LKUlimp4BWJqMDMLmPpx/Q9R3OAlL4g==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -1085,9 +1085,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/config-array": {
|
||||
"version": "0.19.2",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/config-array/-/config-array-0.19.2.tgz",
|
||||
"integrity": "sha512-GNKqxfHG2ySmJOBSHg7LxeUx4xpuCoFjacmlCoYWEbaPXLwvfIjixRI12xCQZeULksQb23uiA8F40w5TojpV7w==",
|
||||
"version": "0.21.0",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/config-array/-/config-array-0.21.0.tgz",
|
||||
"integrity": "sha512-ENIdc4iLu0d93HeYirvKmrzshzofPw6VkZRKQGe9Nv46ZnWUzcF1xV01dcvEg/1wXUR61OmmlSfyeyO7EvjLxQ==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
@@ -1099,10 +1099,20 @@
|
||||
"node": "^18.18.0 || ^20.9.0 || >=21.1.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/config-helpers": {
|
||||
"version": "0.3.1",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.3.1.tgz",
|
||||
"integrity": "sha512-xR93k9WhrDYpXHORXpxVL5oHj3Era7wo6k/Wd8/IsQNnZUTzkGS29lyn3nAT05v6ltUuTFVCCYDEGfy2Or/sPA==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"engines": {
|
||||
"node": "^18.18.0 || ^20.9.0 || >=21.1.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/core": {
|
||||
"version": "0.11.0",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/core/-/core-0.11.0.tgz",
|
||||
"integrity": "sha512-DWUB2pksgNEb6Bz2fggIy1wh6fGgZP4Xyy/Mt0QZPiloKKXerbqq9D3SBQTlCRYOrcRPu4vuz+CGjwdfqxnoWA==",
|
||||
"version": "0.15.2",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/core/-/core-0.15.2.tgz",
|
||||
"integrity": "sha512-78Md3/Rrxh83gCxoUc0EiciuOHsIITzLy53m3d9UyiW8y9Dj2D29FeETqyKA+BRK76tnTp6RXWb3pCay8Oyomg==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
@@ -1113,9 +1123,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/eslintrc": {
|
||||
"version": "3.2.0",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.2.0.tgz",
|
||||
"integrity": "sha512-grOjVNN8P3hjJn/eIETF1wwd12DdnwFDoyceUJLYYdkpbwq3nLi+4fqrTAONx7XDALqlL220wC/RHSC/QTI/0w==",
|
||||
"version": "3.3.1",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.1.tgz",
|
||||
"integrity": "sha512-gtF186CXhIl1p4pJNGZw8Yc6RlshoePRvE0X91oPGb3vZ8pM3qOS9W9NGPat9LziaBV7XrJWGylNQXkGcnM3IQ==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -1150,13 +1160,16 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/js": {
|
||||
"version": "9.20.0",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.20.0.tgz",
|
||||
"integrity": "sha512-iZA07H9io9Wn836aVTytRaNqh00Sad+EamwOVJT12GTLw1VGMFV/4JaME+JjLtr9fiGaoWgYnS54wrfWsSs4oQ==",
|
||||
"version": "9.36.0",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.36.0.tgz",
|
||||
"integrity": "sha512-uhCbYtYynH30iZErszX78U+nR3pJU3RHGQ57NXy5QupD4SBVwDeU8TNBy+MjMngc1UyIW9noKqsRqfjQTBU2dw==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": "^18.18.0 || ^20.9.0 || >=21.1.0"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://eslint.org/donate"
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/object-schema": {
|
||||
@@ -1170,32 +1183,19 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@eslint/plugin-kit": {
|
||||
"version": "0.2.5",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/plugin-kit/-/plugin-kit-0.2.5.tgz",
|
||||
"integrity": "sha512-lB05FkqEdUg2AA0xEbUz0SnkXT1LcCTa438W4IWTUh4hdOnVbQyOJ81OrDXsJk/LSiJHubgGEFoR5EHq1NsH1A==",
|
||||
"version": "0.3.5",
|
||||
"resolved": "https://registry.npmjs.org/@eslint/plugin-kit/-/plugin-kit-0.3.5.tgz",
|
||||
"integrity": "sha512-Z5kJ+wU3oA7MMIqVR9tyZRtjYPr4OC004Q4Rw7pgOKUOKkJfZ3O24nz3WYfGRpMDNmcOi3TwQOmgm7B7Tpii0w==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@eslint/core": "^0.10.0",
|
||||
"@eslint/core": "^0.15.2",
|
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@@ -1296,9 +1296,9 @@
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@@ -2698,10 +2698,10 @@
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@@ -5545,9 +5583,9 @@
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@@ -7104,12 +7140,12 @@
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"integrity": "sha512-/4f9+up0Qv92D3bB8iN5P1s3oHAepSGa9h5k6tpTFlixTTskJZwKGhJ6vRJ277tLD1zuaZTt95hyGWV1Z37csQ==",
|
||||
"version": "7.9.3",
|
||||
"resolved": "https://registry.npmjs.org/react-router-dom/-/react-router-dom-7.9.3.tgz",
|
||||
"integrity": "sha512-1QSbA0TGGFKTAc/aWjpfW/zoEukYfU4dc1dLkT/vvf54JoGMkW+fNA+3oyo2gWVW1GM7BxjJVHz5GnPJv40rvg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"react-router": "7.1.5"
|
||||
"react-router": "7.9.3"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=20.0.0"
|
||||
@@ -7331,13 +7367,13 @@
|
||||
}
|
||||
},
|
||||
"node_modules/rollup": {
|
||||
"version": "4.34.8",
|
||||
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.34.8.tgz",
|
||||
"integrity": "sha512-489gTVMzAYdiZHFVA/ig/iYFllCcWFHMvUHI1rpFmkoUtRlQxqh6/yiNqnYibjMZ2b/+FUQwldG+aLsEt6bglQ==",
|
||||
"version": "4.52.3",
|
||||
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.52.3.tgz",
|
||||
"integrity": "sha512-RIDh866U8agLgiIcdpB+COKnlCreHJLfIhWC3LVflku5YHfpnsIKigRZeFfMfCc4dVcqNVfQQ5gO/afOck064A==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@types/estree": "1.0.6"
|
||||
"@types/estree": "1.0.8"
|
||||
},
|
||||
"bin": {
|
||||
"rollup": "dist/bin/rollup"
|
||||
@@ -7347,25 +7383,28 @@
|
||||
"npm": ">=8.0.0"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@rollup/rollup-android-arm-eabi": "4.34.8",
|
||||
"@rollup/rollup-android-arm64": "4.34.8",
|
||||
"@rollup/rollup-darwin-arm64": "4.34.8",
|
||||
"@rollup/rollup-darwin-x64": "4.34.8",
|
||||
"@rollup/rollup-freebsd-arm64": "4.34.8",
|
||||
"@rollup/rollup-freebsd-x64": "4.34.8",
|
||||
"@rollup/rollup-linux-arm-gnueabihf": "4.34.8",
|
||||
"@rollup/rollup-linux-arm-musleabihf": "4.34.8",
|
||||
"@rollup/rollup-linux-arm64-gnu": "4.34.8",
|
||||
"@rollup/rollup-linux-arm64-musl": "4.34.8",
|
||||
"@rollup/rollup-linux-loongarch64-gnu": "4.34.8",
|
||||
"@rollup/rollup-linux-powerpc64le-gnu": "4.34.8",
|
||||
"@rollup/rollup-linux-riscv64-gnu": "4.34.8",
|
||||
"@rollup/rollup-linux-s390x-gnu": "4.34.8",
|
||||
"@rollup/rollup-linux-x64-gnu": "4.34.8",
|
||||
"@rollup/rollup-linux-x64-musl": "4.34.8",
|
||||
"@rollup/rollup-win32-arm64-msvc": "4.34.8",
|
||||
"@rollup/rollup-win32-ia32-msvc": "4.34.8",
|
||||
"@rollup/rollup-win32-x64-msvc": "4.34.8",
|
||||
"@rollup/rollup-android-arm-eabi": "4.52.3",
|
||||
"@rollup/rollup-android-arm64": "4.52.3",
|
||||
"@rollup/rollup-darwin-arm64": "4.52.3",
|
||||
"@rollup/rollup-darwin-x64": "4.52.3",
|
||||
"@rollup/rollup-freebsd-arm64": "4.52.3",
|
||||
"@rollup/rollup-freebsd-x64": "4.52.3",
|
||||
"@rollup/rollup-linux-arm-gnueabihf": "4.52.3",
|
||||
"@rollup/rollup-linux-arm-musleabihf": "4.52.3",
|
||||
"@rollup/rollup-linux-arm64-gnu": "4.52.3",
|
||||
"@rollup/rollup-linux-arm64-musl": "4.52.3",
|
||||
"@rollup/rollup-linux-loong64-gnu": "4.52.3",
|
||||
"@rollup/rollup-linux-ppc64-gnu": "4.52.3",
|
||||
"@rollup/rollup-linux-riscv64-gnu": "4.52.3",
|
||||
"@rollup/rollup-linux-riscv64-musl": "4.52.3",
|
||||
"@rollup/rollup-linux-s390x-gnu": "4.52.3",
|
||||
"@rollup/rollup-linux-x64-gnu": "4.52.3",
|
||||
"@rollup/rollup-linux-x64-musl": "4.52.3",
|
||||
"@rollup/rollup-openharmony-arm64": "4.52.3",
|
||||
"@rollup/rollup-win32-arm64-msvc": "4.52.3",
|
||||
"@rollup/rollup-win32-ia32-msvc": "4.52.3",
|
||||
"@rollup/rollup-win32-x64-gnu": "4.52.3",
|
||||
"@rollup/rollup-win32-x64-msvc": "4.52.3",
|
||||
"fsevents": "~2.3.2"
|
||||
}
|
||||
},
|
||||
@@ -7806,6 +7845,54 @@
|
||||
"integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/tinyglobby": {
|
||||
"version": "0.2.15",
|
||||
"resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.15.tgz",
|
||||
"integrity": "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"fdir": "^6.5.0",
|
||||
"picomatch": "^4.0.3"
|
||||
},
|
||||
"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": "4.0.3",
|
||||
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz",
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"integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=12"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/jonschlinkert"
|
||||
}
|
||||
},
|
||||
"node_modules/to-regex-range": {
|
||||
"version": "5.0.1",
|
||||
"resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
|
||||
@@ -7843,12 +7930,6 @@
|
||||
"integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==",
|
||||
"license": "0BSD"
|
||||
},
|
||||
"node_modules/turbo-stream": {
|
||||
"version": "2.4.0",
|
||||
"resolved": "https://registry.npmjs.org/turbo-stream/-/turbo-stream-2.4.0.tgz",
|
||||
"integrity": "sha512-FHncC10WpBd2eOmGwpmQsWLDoK4cqsA/UT/GqNoaKOQnT8uzhtCbg3EoUDMvqpOSAI0S26mr0rkjzbOO6S3v1g==",
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/type-check": {
|
||||
"version": "0.4.0",
|
||||
"resolved": "https://registry.npmjs.org/type-check/-/type-check-0.4.0.tgz",
|
||||
@@ -8054,15 +8135,18 @@
|
||||
}
|
||||
},
|
||||
"node_modules/vite": {
|
||||
"version": "6.2.2",
|
||||
"resolved": "https://registry.npmjs.org/vite/-/vite-6.2.2.tgz",
|
||||
"integrity": "sha512-yW7PeMM+LkDzc7CgJuRLMW2Jz0FxMOsVJ8Lv3gpgW9WLcb9cTW+121UEr1hvmfR7w3SegR5ItvYyzVz1vxNJgQ==",
|
||||
"version": "6.3.6",
|
||||
"resolved": "https://registry.npmjs.org/vite/-/vite-6.3.6.tgz",
|
||||
"integrity": "sha512-0msEVHJEScQbhkbVTb/4iHZdJ6SXp/AvxL2sjwYQFfBqleHtnCqv1J3sa9zbWz/6kW1m9Tfzn92vW+kZ1WV6QA==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"esbuild": "^0.25.0",
|
||||
"fdir": "^6.4.4",
|
||||
"picomatch": "^4.0.2",
|
||||
"postcss": "^8.5.3",
|
||||
"rollup": "^4.30.1"
|
||||
"rollup": "^4.34.9",
|
||||
"tinyglobby": "^0.2.13"
|
||||
},
|
||||
"bin": {
|
||||
"vite": "bin/vite.js"
|
||||
@@ -8125,6 +8209,37 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/vite/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/vite/node_modules/picomatch": {
|
||||
"version": "4.0.3",
|
||||
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz",
|
||||
"integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=12"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/jonschlinkert"
|
||||
}
|
||||
},
|
||||
"node_modules/wcwidth": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz",
|
||||
|
||||
@@ -25,6 +25,7 @@ import {
|
||||
} from "../hooks/useAiValidation";
|
||||
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
|
||||
import { Badge } from "@/components/ui/badge";
|
||||
import { Protected } from "@/components/auth/Protected";
|
||||
|
||||
interface TaxonomyStats {
|
||||
categories: number;
|
||||
@@ -96,7 +97,7 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
getFieldDisplayValueWithHighlight,
|
||||
fields,
|
||||
}) => {
|
||||
const [costPerMillionTokens, setCostPerMillionTokens] = useState(2.5); // Default cost
|
||||
const [costPerMillionTokens, setCostPerMillionTokens] = useState(1.25); // Default cost
|
||||
|
||||
// Create our own state to track changes
|
||||
const [localReversionState, setLocalReversionState] = useState<
|
||||
@@ -170,8 +171,20 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
return (estimatedTokens / 1_000_000) * costPerMillionTokens * 100; // In cents
|
||||
};
|
||||
|
||||
const formatNumber = (value: number | null | undefined): string => {
|
||||
if (value === null || value === undefined) {
|
||||
return "—";
|
||||
}
|
||||
return value.toLocaleString();
|
||||
};
|
||||
|
||||
// Use the prompt length from the current prompt
|
||||
const promptLength = currentPrompt.prompt ? currentPrompt.prompt.length : 0;
|
||||
const tokenUsage = aiValidationDetails.tokenUsage;
|
||||
const formattedReasoningEffort = aiValidationDetails.reasoningEffort
|
||||
? aiValidationDetails.reasoningEffort.charAt(0).toUpperCase() +
|
||||
aiValidationDetails.reasoningEffort.slice(1)
|
||||
: null;
|
||||
|
||||
return (
|
||||
<>
|
||||
@@ -677,30 +690,29 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
aiValidationProgress.estimatedSeconds &&
|
||||
aiValidationProgress.elapsedSeconds !== undefined &&
|
||||
aiValidationProgress.step > 0 &&
|
||||
aiValidationProgress.step < 5 && (
|
||||
<div className="text-center text-sm">
|
||||
{(() => {
|
||||
// Calculate time remaining using the elapsed seconds
|
||||
const elapsedSeconds =
|
||||
aiValidationProgress.elapsedSeconds;
|
||||
const totalEstimatedSeconds =
|
||||
aiValidationProgress.estimatedSeconds;
|
||||
aiValidationProgress.step < 5 && (() => {
|
||||
const elapsedSeconds = aiValidationProgress.elapsedSeconds;
|
||||
const totalEstimatedSeconds = aiValidationProgress.estimatedSeconds;
|
||||
const remainingSeconds = Math.max(
|
||||
0,
|
||||
totalEstimatedSeconds - elapsedSeconds
|
||||
);
|
||||
|
||||
// Format time remaining
|
||||
if (remainingSeconds < 60) {
|
||||
return `Approximately ${Math.round(
|
||||
remainingSeconds
|
||||
)} seconds remaining`;
|
||||
} else {
|
||||
if (remainingSeconds <= 5) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const message = remainingSeconds < 60
|
||||
? `Approximately ${Math.round(remainingSeconds)} seconds remaining`
|
||||
: (() => {
|
||||
const minutes = Math.floor(remainingSeconds / 60);
|
||||
const seconds = Math.round(remainingSeconds % 60);
|
||||
return `Approximately ${minutes}m ${seconds}s remaining`;
|
||||
}
|
||||
})()}
|
||||
})();
|
||||
|
||||
return (
|
||||
<div className="text-center text-sm">
|
||||
{message}
|
||||
{aiValidationProgress.promptLength && (
|
||||
<p className="mt-1 text-xs text-muted-foreground">
|
||||
Prompt length:{" "}
|
||||
@@ -709,7 +721,8 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
);
|
||||
})()
|
||||
);
|
||||
})()}
|
||||
</div>
|
||||
@@ -723,13 +736,139 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
setAiValidationDetails((prev) => ({ ...prev, isOpen: open }))
|
||||
}
|
||||
>
|
||||
<DialogContent className="max-w-6xl w-[90vw]">
|
||||
<DialogContent className="max-w-6xl w-[90vw] max-h-[90vh] overflow-auto">
|
||||
<DialogHeader>
|
||||
<DialogTitle>AI Validation Results</DialogTitle>
|
||||
<DialogDescription>
|
||||
Review the changes and warnings suggested by the AI
|
||||
</DialogDescription>
|
||||
</DialogHeader>
|
||||
<Protected permission="admin:debug">
|
||||
{(aiValidationDetails.model || tokenUsage || formattedReasoningEffort) && (
|
||||
<div className="mb-4 rounded-md border bg-muted/40 p-4 text-sm">
|
||||
<div className="flex flex-wrap items-center gap-2">
|
||||
{aiValidationDetails.model && (
|
||||
<Badge variant="outline">
|
||||
Model · {aiValidationDetails.model}
|
||||
</Badge>
|
||||
)}
|
||||
{formattedReasoningEffort && (
|
||||
<Badge variant="secondary">
|
||||
Reasoning {formattedReasoningEffort}
|
||||
</Badge>
|
||||
)}
|
||||
</div>
|
||||
{tokenUsage && (
|
||||
<div className="mt-3 grid gap-4 text-xs sm:grid-cols-2 lg:grid-cols-5">
|
||||
<div>
|
||||
<span className="block text-muted-foreground">
|
||||
Prompt tokens
|
||||
</span>
|
||||
<span className="font-medium">
|
||||
{formatNumber(tokenUsage.prompt)}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="block text-muted-foreground">
|
||||
Completion tokens
|
||||
</span>
|
||||
<span className="font-medium">
|
||||
{formatNumber(tokenUsage.completion)}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="block text-muted-foreground">
|
||||
Total tokens
|
||||
</span>
|
||||
<span className="font-medium">
|
||||
{formatNumber(tokenUsage.total)}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="block text-muted-foreground">
|
||||
Reasoning tokens
|
||||
</span>
|
||||
<span className="font-medium">
|
||||
{formatNumber(tokenUsage.reasoning)}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="block text-muted-foreground">
|
||||
Cached prompt tokens
|
||||
</span>
|
||||
<span className="font-medium">
|
||||
{formatNumber(tokenUsage.cachedPrompt)}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</Protected>
|
||||
{(aiValidationDetails.summary ||
|
||||
(aiValidationDetails.changes && aiValidationDetails.changes.length > 0) ||
|
||||
(aiValidationDetails.warnings && aiValidationDetails.warnings.length > 0) ||
|
||||
(aiValidationDetails.qualityNotes && aiValidationDetails.qualityNotes.length > 0) ||
|
||||
(aiValidationDetails.nextSteps && aiValidationDetails.nextSteps.length > 0)) && (
|
||||
<Card className="mb-4 max-h-[25vh] overflow-auto">
|
||||
<CardHeader className="pb-2">
|
||||
<CardTitle className="text-base">Overall Assessment</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="space-y-3 text-sm text-muted-foreground">
|
||||
{aiValidationDetails.changes &&
|
||||
aiValidationDetails.changes.length > 0 && (
|
||||
<div>
|
||||
<h4 className="font-medium text-foreground mb-1">
|
||||
Key Changes
|
||||
</h4>
|
||||
<ul className="list-disc pl-5 space-y-1">
|
||||
{aiValidationDetails.changes.map((change, idx) => (
|
||||
<li key={`change-${idx}`}>{change}</li>
|
||||
))}
|
||||
</ul>
|
||||
</div>
|
||||
)}
|
||||
{aiValidationDetails.warnings &&
|
||||
aiValidationDetails.warnings.length > 0 && (
|
||||
<div>
|
||||
<h4 className="font-medium text-foreground mb-1">
|
||||
Warnings
|
||||
</h4>
|
||||
<ul className="list-disc pl-5 space-y-1">
|
||||
{aiValidationDetails.warnings.map((warning, idx) => (
|
||||
<li key={`warning-${idx}`}>{warning}</li>
|
||||
))}
|
||||
</ul>
|
||||
</div>
|
||||
)}
|
||||
{aiValidationDetails.summary && (
|
||||
<p className="leading-relaxed">{aiValidationDetails.summary}</p>
|
||||
)}
|
||||
{aiValidationDetails.qualityNotes &&
|
||||
aiValidationDetails.qualityNotes.length > 0 && (
|
||||
<div>
|
||||
<h4 className="font-medium text-foreground mb-1">Quality Notes</h4>
|
||||
<ul className="list-disc pl-5 space-y-1">
|
||||
{aiValidationDetails.qualityNotes.map((note, idx) => (
|
||||
<li key={`quality-note-${idx}`}>{note}</li>
|
||||
))}
|
||||
</ul>
|
||||
</div>
|
||||
)}
|
||||
{aiValidationDetails.nextSteps &&
|
||||
aiValidationDetails.nextSteps.length > 0 && (
|
||||
<div>
|
||||
<h4 className="font-medium text-foreground mb-1">Suggested Next Steps</h4>
|
||||
<ul className="list-disc pl-5 space-y-1">
|
||||
{aiValidationDetails.nextSteps.map((step, idx) => (
|
||||
<li key={`next-step-${idx}`}>{step}</li>
|
||||
))}
|
||||
</ul>
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
)}
|
||||
<ScrollArea className="max-h-[70vh]">
|
||||
{aiValidationDetails.changeDetails &&
|
||||
aiValidationDetails.changeDetails.length > 0 ? (
|
||||
@@ -855,23 +994,7 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
</div>
|
||||
) : (
|
||||
<div className="py-8 text-center text-muted-foreground">
|
||||
{aiValidationDetails.warnings &&
|
||||
aiValidationDetails.warnings.length > 0 ? (
|
||||
<div>
|
||||
<p className="mb-4">
|
||||
No changes were made, but the AI provided some warnings:
|
||||
</p>
|
||||
<ul className="list-disc pl-8 text-left">
|
||||
{aiValidationDetails.warnings.map((warning, i) => (
|
||||
<li key={`warning-${i}`} className="mb-2">
|
||||
{warning}
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
</div>
|
||||
) : (
|
||||
<p>No changes or warnings were suggested by the AI.</p>
|
||||
)}
|
||||
<p>No field-level changes were suggested by the AI.</p>
|
||||
</div>
|
||||
)}
|
||||
</ScrollArea>
|
||||
|
||||
@@ -20,12 +20,28 @@ export interface ProductChangeDetail {
|
||||
changes: ChangeDetail[];
|
||||
}
|
||||
|
||||
export type ReasoningEffortLevel = 'minimal' | 'low' | 'medium' | 'high';
|
||||
|
||||
export interface AiValidationTokenUsage {
|
||||
prompt: number | null;
|
||||
completion: number | null;
|
||||
total: number | null;
|
||||
reasoning?: number | null;
|
||||
cachedPrompt?: number | null;
|
||||
}
|
||||
|
||||
export interface AiValidationDetails {
|
||||
changes: string[];
|
||||
warnings: string[];
|
||||
changeDetails: ProductChangeDetail[];
|
||||
isOpen: boolean;
|
||||
originalData?: RowData<string>[];
|
||||
originalData?: RowData<any>[];
|
||||
model?: string;
|
||||
reasoningEffort?: ReasoningEffortLevel;
|
||||
tokenUsage?: AiValidationTokenUsage;
|
||||
summary?: string;
|
||||
qualityNotes?: string[];
|
||||
nextSteps?: string[];
|
||||
}
|
||||
|
||||
export interface AiValidationProgress {
|
||||
@@ -37,8 +53,119 @@ export interface AiValidationProgress {
|
||||
promptLength?: number;
|
||||
elapsedSeconds?: number;
|
||||
progressPercent?: number;
|
||||
model?: string;
|
||||
reasoningEffort?: ReasoningEffortLevel;
|
||||
tokenUsage?: AiValidationTokenUsage;
|
||||
}
|
||||
|
||||
const toNumberOrNull = (value: unknown): number | null => {
|
||||
if (typeof value === 'number' && Number.isFinite(value)) {
|
||||
return value;
|
||||
}
|
||||
if (typeof value === 'string') {
|
||||
const parsed = Number(value);
|
||||
return Number.isFinite(parsed) ? parsed : null;
|
||||
}
|
||||
return null;
|
||||
};
|
||||
|
||||
const normalizeReasoningEffort = (
|
||||
value: unknown
|
||||
): ReasoningEffortLevel | undefined => {
|
||||
if (typeof value !== 'string') return undefined;
|
||||
const normalized = value.toLowerCase();
|
||||
if (
|
||||
normalized === 'minimal' ||
|
||||
normalized === 'low' ||
|
||||
normalized === 'medium' ||
|
||||
normalized === 'high'
|
||||
) {
|
||||
return normalized as ReasoningEffortLevel;
|
||||
}
|
||||
return undefined;
|
||||
};
|
||||
|
||||
const isRecord = (value: unknown): value is Record<string, any> => {
|
||||
return value !== null && typeof value === 'object' && !Array.isArray(value);
|
||||
};
|
||||
|
||||
const valuesAreEqual = (a: unknown, b: unknown): boolean => {
|
||||
if (a === b) {
|
||||
// Handle NaN equality manually
|
||||
return a === a || b === b;
|
||||
}
|
||||
|
||||
try {
|
||||
return JSON.stringify(a) === JSON.stringify(b);
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
};
|
||||
|
||||
const buildChangeDetailsFromData = <T extends string>(
|
||||
originalRows: RowData<T>[],
|
||||
correctedRows: unknown[]
|
||||
): ProductChangeDetail[] => {
|
||||
if (!Array.isArray(correctedRows)) {
|
||||
return [];
|
||||
}
|
||||
|
||||
const details: ProductChangeDetail[] = [];
|
||||
const maxLength = Math.max(originalRows.length, correctedRows.length);
|
||||
|
||||
for (let index = 0; index < maxLength; index++) {
|
||||
const original = (originalRows[index] as Record<string, any> | undefined) ?? undefined;
|
||||
const correctedCandidate = correctedRows[index];
|
||||
|
||||
if (!isRecord(correctedCandidate)) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const keys = new Set<string>([
|
||||
...Object.keys(original ?? {}),
|
||||
...Object.keys(correctedCandidate),
|
||||
]);
|
||||
|
||||
const changes: ChangeDetail[] = [];
|
||||
|
||||
keys.forEach((key) => {
|
||||
if (key.startsWith('__')) {
|
||||
return;
|
||||
}
|
||||
|
||||
const originalValue = original ? original[key] : undefined;
|
||||
const correctedValue = correctedCandidate[key];
|
||||
|
||||
if (!valuesAreEqual(originalValue, correctedValue)) {
|
||||
changes.push({
|
||||
field: key,
|
||||
original: originalValue,
|
||||
corrected: correctedValue,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
if (changes.length === 0) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const titleCandidate =
|
||||
(original && (original.name ?? original.title)) ??
|
||||
(correctedCandidate.name ?? correctedCandidate.title);
|
||||
|
||||
details.push({
|
||||
productIndex: index,
|
||||
title:
|
||||
typeof titleCandidate === 'string'
|
||||
? titleCandidate
|
||||
: `Product ${index + 1}`,
|
||||
changes,
|
||||
});
|
||||
}
|
||||
|
||||
return details;
|
||||
};
|
||||
|
||||
export interface CurrentPrompt {
|
||||
isOpen: boolean;
|
||||
prompt: string | null;
|
||||
@@ -374,6 +501,9 @@ export const useAiValidation = <T extends string>(
|
||||
startTime,
|
||||
elapsedSeconds: 0,
|
||||
progressPercent: 0,
|
||||
model: undefined,
|
||||
reasoningEffort: undefined,
|
||||
tokenUsage: undefined,
|
||||
...(aiValidationProgress.estimatedSeconds ? {
|
||||
estimatedSeconds: aiValidationProgress.estimatedSeconds,
|
||||
promptLength: aiValidationProgress.promptLength
|
||||
@@ -476,14 +606,25 @@ export const useAiValidation = <T extends string>(
|
||||
promptLength: prev.promptLength
|
||||
}));
|
||||
|
||||
const response = await fetch(`${getApiUrl()}/ai-validation/validate`, {
|
||||
const requestBody = JSON.stringify({ products: cleanedData });
|
||||
const fetchPromise = fetch(`${getApiUrl()}/ai-validation/validate`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ products: cleanedData }),
|
||||
body: requestBody,
|
||||
});
|
||||
|
||||
setAiValidationProgress(prev => ({
|
||||
...prev,
|
||||
status: "Waiting on AI response...",
|
||||
step: Math.max(prev.step, 2),
|
||||
estimatedSeconds: prev.estimatedSeconds,
|
||||
promptLength: prev.promptLength
|
||||
}));
|
||||
|
||||
const response = await fetchPromise;
|
||||
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text();
|
||||
console.error('AI validation error response:', {
|
||||
@@ -501,6 +642,111 @@ export const useAiValidation = <T extends string>(
|
||||
throw new Error(result.error || 'AI validation failed');
|
||||
}
|
||||
|
||||
const usageSource: any =
|
||||
result.tokenUsage ||
|
||||
result.performanceMetrics?.tokenUsage ||
|
||||
result.usage;
|
||||
const modelUsed: string | undefined =
|
||||
typeof result.model === 'string'
|
||||
? result.model
|
||||
: typeof result.modelName === 'string'
|
||||
? result.modelName
|
||||
: typeof result.modelId === 'string'
|
||||
? result.modelId
|
||||
: typeof result.performanceMetrics?.model === 'string'
|
||||
? result.performanceMetrics.model
|
||||
: undefined;
|
||||
const reasoningEffort = normalizeReasoningEffort(
|
||||
result.reasoningEffort ||
|
||||
result.reasoning_effort ||
|
||||
result.performanceMetrics?.reasoningEffort
|
||||
);
|
||||
|
||||
let normalizedTokenUsage: AiValidationTokenUsage | undefined;
|
||||
if (usageSource) {
|
||||
const promptTokensRaw =
|
||||
usageSource.prompt ??
|
||||
usageSource.promptTokens ??
|
||||
usageSource.prompt_tokens ??
|
||||
usageSource.input;
|
||||
const completionTokensRaw =
|
||||
usageSource.completion ??
|
||||
usageSource.completionTokens ??
|
||||
usageSource.completion_tokens ??
|
||||
usageSource.output;
|
||||
const totalTokensRaw =
|
||||
usageSource.total ??
|
||||
usageSource.totalTokens ??
|
||||
usageSource.total_tokens ??
|
||||
usageSource.tokenTotal;
|
||||
const reasoningTokensRaw =
|
||||
usageSource.reasoning ??
|
||||
usageSource.reasoningTokens ??
|
||||
usageSource.reasoning_tokens;
|
||||
const cachedPromptRaw =
|
||||
usageSource.cachedPrompt ??
|
||||
usageSource.cachedTokens ??
|
||||
usageSource.cached_prompt ??
|
||||
usageSource.cached_tokens ??
|
||||
usageSource.cached;
|
||||
|
||||
const promptTokens = toNumberOrNull(promptTokensRaw);
|
||||
const completionTokens = toNumberOrNull(completionTokensRaw);
|
||||
let totalTokens = toNumberOrNull(totalTokensRaw);
|
||||
if (
|
||||
totalTokens === null &&
|
||||
promptTokens !== null &&
|
||||
completionTokens !== null
|
||||
) {
|
||||
totalTokens = promptTokens + completionTokens;
|
||||
}
|
||||
|
||||
const reasoningTokens = toNumberOrNull(reasoningTokensRaw);
|
||||
const cachedPrompt = toNumberOrNull(cachedPromptRaw);
|
||||
|
||||
if (
|
||||
promptTokens !== null ||
|
||||
completionTokens !== null ||
|
||||
totalTokens !== null ||
|
||||
reasoningTokens !== null ||
|
||||
cachedPrompt !== null
|
||||
) {
|
||||
normalizedTokenUsage = {
|
||||
prompt: promptTokens,
|
||||
completion: completionTokens,
|
||||
total: totalTokens,
|
||||
reasoning: reasoningTokens,
|
||||
cachedPrompt,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
const changesFromResult = Array.isArray(result.changes)
|
||||
? result.changes
|
||||
: [];
|
||||
const warningsFromResult = Array.isArray(result.warnings)
|
||||
? result.warnings
|
||||
: [];
|
||||
const summaryFromResult = typeof result.summary === 'string'
|
||||
? result.summary
|
||||
: typeof result.overallSummary === 'string'
|
||||
? result.overallSummary
|
||||
: '';
|
||||
const qualityNotesFromResult = Array.isArray(result.qualityNotes)
|
||||
? result.qualityNotes
|
||||
: Array.isArray(result.quality_notes)
|
||||
? result.quality_notes
|
||||
: Array.isArray(result.qualitySummary)
|
||||
? result.qualitySummary
|
||||
: [];
|
||||
const nextStepsFromResult = Array.isArray(result.nextSteps)
|
||||
? result.nextSteps
|
||||
: Array.isArray(result.recommendedNextSteps)
|
||||
? result.recommendedNextSteps
|
||||
: Array.isArray(result.followUpActions)
|
||||
? result.followUpActions
|
||||
: [];
|
||||
|
||||
// Store the prompt sources if they exist
|
||||
if (result.promptSources) {
|
||||
setCurrentPrompt(prev => {
|
||||
@@ -534,14 +780,23 @@ export const useAiValidation = <T extends string>(
|
||||
result.performanceMetrics.processingTimeSeconds ||
|
||||
prev.estimatedSeconds,
|
||||
promptLength: result.performanceMetrics.promptLength || prev.promptLength,
|
||||
progressPercent: 75 // 75% complete when we're processing the AI response
|
||||
progressPercent: 75, // 75% complete when we're processing the AI response
|
||||
model: modelUsed ?? prev.model,
|
||||
reasoningEffort: reasoningEffort ?? prev.reasoningEffort,
|
||||
tokenUsage:
|
||||
normalizedTokenUsage ??
|
||||
result.performanceMetrics.tokenUsage ??
|
||||
prev.tokenUsage,
|
||||
}));
|
||||
} else {
|
||||
setAiValidationProgress(prev => ({
|
||||
...prev,
|
||||
status: "Processing AI response...",
|
||||
step: 3,
|
||||
progressPercent: 75
|
||||
progressPercent: 75,
|
||||
model: modelUsed ?? prev.model,
|
||||
reasoningEffort: reasoningEffort ?? prev.reasoningEffort,
|
||||
tokenUsage: normalizedTokenUsage ?? prev.tokenUsage,
|
||||
}));
|
||||
}
|
||||
|
||||
@@ -620,7 +875,9 @@ export const useAiValidation = <T extends string>(
|
||||
console.log('About to update data with AI corrections:', {
|
||||
originalDataSample: data.slice(0, 2),
|
||||
processedDataSample: processedData.slice(0, 2),
|
||||
correctionCount: result.changes?.length || 0
|
||||
correctionCount: result.changes?.length || 0,
|
||||
changeDetailCount: 0,
|
||||
changeDetailsPreview: []
|
||||
});
|
||||
|
||||
// First validate the new data to ensure all validation rules are applied
|
||||
@@ -644,27 +901,63 @@ export const useAiValidation = <T extends string>(
|
||||
hasErrors: false // We no longer check row.__errors
|
||||
});
|
||||
|
||||
// Show changes and warnings in dialog after data is updated
|
||||
setAiValidationDetails({
|
||||
changes: result.changes || [],
|
||||
warnings: result.warnings || [],
|
||||
changeDetails: result.changeDetails || [],
|
||||
isOpen: true,
|
||||
originalData: originalDataCopy // Use the stored original data
|
||||
const changeDetailsForDialog = buildChangeDetailsFromData(
|
||||
originalDataCopy,
|
||||
validatedData as RowData<T>[]
|
||||
);
|
||||
|
||||
console.log('Computed change details after validation:', {
|
||||
changeDetailCount: changeDetailsForDialog.length,
|
||||
changeDetailsPreview: changeDetailsForDialog.slice(0, 2)
|
||||
});
|
||||
|
||||
const detailPayload: AiValidationDetails = {
|
||||
changes: changesFromResult,
|
||||
warnings: warningsFromResult,
|
||||
changeDetails: changeDetailsForDialog,
|
||||
isOpen: true,
|
||||
originalData: originalDataCopy,
|
||||
model: modelUsed,
|
||||
reasoningEffort,
|
||||
tokenUsage: normalizedTokenUsage,
|
||||
summary: summaryFromResult,
|
||||
qualityNotes: qualityNotesFromResult,
|
||||
nextSteps: nextStepsFromResult,
|
||||
};
|
||||
|
||||
// Show changes and warnings in dialog after data is updated
|
||||
setAiValidationDetails(detailPayload);
|
||||
} catch (error) {
|
||||
console.error('Error validating AI corrections:', error);
|
||||
// Fall back to basic update without validation
|
||||
setData(processedData);
|
||||
|
||||
// Still show the result dialog even if validation failed
|
||||
setAiValidationDetails({
|
||||
changes: result.changes || [],
|
||||
warnings: result.warnings || [],
|
||||
changeDetails: result.changeDetails || [],
|
||||
isOpen: true,
|
||||
originalData: originalDataCopy, // Use the stored original data
|
||||
const changeDetailsForDialog = buildChangeDetailsFromData(
|
||||
originalDataCopy,
|
||||
processedData as RowData<T>[]
|
||||
);
|
||||
|
||||
console.log('Computed change details after fallback:', {
|
||||
changeDetailCount: changeDetailsForDialog.length,
|
||||
changeDetailsPreview: changeDetailsForDialog.slice(0, 2)
|
||||
});
|
||||
|
||||
const detailPayload: AiValidationDetails = {
|
||||
changes: changesFromResult,
|
||||
warnings: warningsFromResult,
|
||||
changeDetails: changeDetailsForDialog,
|
||||
isOpen: true,
|
||||
originalData: originalDataCopy,
|
||||
model: modelUsed,
|
||||
reasoningEffort,
|
||||
tokenUsage: normalizedTokenUsage,
|
||||
summary: summaryFromResult,
|
||||
qualityNotes: qualityNotesFromResult,
|
||||
nextSteps: nextStepsFromResult,
|
||||
};
|
||||
|
||||
// Still show the result dialog even if validation failed
|
||||
setAiValidationDetails(detailPayload);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -673,7 +966,10 @@ export const useAiValidation = <T extends string>(
|
||||
status: "Validation complete!",
|
||||
step: 5,
|
||||
estimatedSeconds: prev.estimatedSeconds,
|
||||
promptLength: prev.promptLength
|
||||
promptLength: prev.promptLength,
|
||||
model: modelUsed ?? prev.model,
|
||||
reasoningEffort: reasoningEffort ?? prev.reasoningEffort,
|
||||
tokenUsage: normalizedTokenUsage ?? prev.tokenUsage,
|
||||
}));
|
||||
|
||||
setTimeout(() => {
|
||||
|
||||
@@ -294,12 +294,12 @@ export const useValidationState = <T extends string>({
|
||||
// Track initialization task statuses for the progress UI
|
||||
const initializationTasks = {
|
||||
upcValidation: {
|
||||
label: 'Validating UPCs and generating item numbers',
|
||||
label: 'Generating item numbers',
|
||||
status: upcValidation.initialValidationDone ? 'completed' :
|
||||
hasPendingUpcValidation ? 'in_progress' : 'pending'
|
||||
},
|
||||
fieldValidation: {
|
||||
label: 'Validating field requirements and formats',
|
||||
label: 'Checking for field errors',
|
||||
status: initialValidationComplete ? 'completed' :
|
||||
isInitialValidationRunning ? 'in_progress' : 'pending'
|
||||
},
|
||||
|
||||
Reference in New Issue
Block a user