File size: 1,707 Bytes
aa2e6af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | const interchangeableKeys = new Map([
['chatGptLabel', ['modelLabel']],
['modelLabel', ['chatGptLabel']],
]);
/**
* Middleware to enforce the model spec for a conversation
* @param {TModelSpec} modelSpec - The model spec to enforce
* @param {TConversation} parsedBody - The parsed body of the conversation
* @returns {boolean} - Whether the model spec is enforced
*/
const enforceModelSpec = (modelSpec, parsedBody) => {
for (const [key, value] of Object.entries(modelSpec.preset)) {
if (key === 'endpoint') {
continue;
}
if (!checkMatch(key, value, parsedBody)) {
return false;
}
}
return true;
};
/**
* Checks if there is a match for the given key and value in the parsed body
* or any of its interchangeable keys, including deep comparison for objects and arrays.
* @param {string} key
* @param {any} value
* @param {object} parsedBody
* @returns {boolean}
*/
const checkMatch = (key, value, parsedBody) => {
const isEqual = (a, b) => {
if (Array.isArray(a) && Array.isArray(b)) {
return a.length === b.length && a.every((val, index) => isEqual(val, b[index]));
} else if (typeof a === 'object' && typeof b === 'object' && a !== null && b !== null) {
const keysA = Object.keys(a);
const keysB = Object.keys(b);
return keysA.length === keysB.length && keysA.every((k) => isEqual(a[k], b[k]));
}
return a === b;
};
if (isEqual(parsedBody[key], value)) {
return true;
}
if (interchangeableKeys.has(key)) {
return interchangeableKeys
.get(key)
.some((interchangeableKey) => isEqual(parsedBody[interchangeableKey], value));
}
return false;
};
module.exports = enforceModelSpec;
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