130 lines
4.1 KiB
JavaScript
130 lines
4.1 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.DEFAULT_SUFFIX = exports.DEFAULT_PREFIX = exports.DEFAULT_SCHEMA = exports.EXAMPLE_PROMPT = exports.EXAMPLE_PROMPT_TEMPLATE = exports.DEFAULT_EXAMPLES = exports.NO_FILTER_ANSWER = exports.FULL_ANSWER = exports.SONG_DATA_SOURCE = void 0;
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const prompts_1 = require("@langchain/core/prompts");
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exports.SONG_DATA_SOURCE = `\
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\`\`\`json
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{
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"content": "Lyrics of a song",
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"attributes": {
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"artist": {
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"type": "string",
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"description": "Name of the song artist"
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},
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"length": {
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"type": "integer",
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"description": "Length of the song in seconds"
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},
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"genre": {
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"type": "string",
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"description": "The song genre, one of 'pop', 'rock' or 'rap'"
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}
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}
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}
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\`\`\`\
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`
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.replaceAll("{", "{{")
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.replaceAll("}", "}}");
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exports.FULL_ANSWER = `\
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\`\`\`json
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{{
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"query": "teenager love",
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"filter": "and(or(eq(\\"artist\\", \\"Taylor Swift\\"), eq(\\"artist\\", \\"Katy Perry\\")), \
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lt(\\"length\\", 180), eq(\\"genre\\", \\"pop\\"))"
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}}`;
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exports.NO_FILTER_ANSWER = `\
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\`\`\`json
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{{
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"query": "",
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"filter": "NO_FILTER"
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}}
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\`\`\`\
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`;
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exports.DEFAULT_EXAMPLES = [
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{
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i: "1",
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data_source: exports.SONG_DATA_SOURCE,
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user_query: "What are songs by Taylor Swift or Katy Perry about teenage romance under 3 minutes long in the dance pop genre",
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structured_request: exports.FULL_ANSWER,
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},
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{
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i: "2",
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data_source: exports.SONG_DATA_SOURCE,
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user_query: "What are songs that were not published on Spotify",
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structured_request: exports.NO_FILTER_ANSWER,
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},
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];
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exports.EXAMPLE_PROMPT_TEMPLATE = `\
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<< Example {i}. >>
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Data Source:
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{data_source}
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User Query:
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{user_query}
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Structured Request:
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{structured_request}
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`;
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exports.EXAMPLE_PROMPT = new prompts_1.PromptTemplate({
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inputVariables: ["i", "data_source", "user_query", "structured_request"],
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template: exports.EXAMPLE_PROMPT_TEMPLATE,
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});
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exports.DEFAULT_SCHEMA = `\
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<< Structured Request Schema >>
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When responding use a markdown code snippet with a JSON object formatted in the \
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following schema:
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\`\`\`json
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{{{{
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"query": string \\ text string to compare to document contents
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"filter": string \\ logical condition statement for filtering documents
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}}}}
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\`\`\`
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The query string should contain only text that is expected to match the contents of \
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documents. Any conditions in the filter should not be mentioned in the query as well.
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A logical condition statement is composed of one or more comparison and logical \
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operation statements.
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A comparison statement takes the form: \`comp(attr, val)\`:
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- \`comp\` ({allowed_comparators}): comparator
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- \`attr\` (string): name of attribute to apply the comparison to
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- \`val\` (string): is the comparison value
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A logical operation statement takes the form \`op(statement1, statement2, ...)\`:
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- \`op\` ({allowed_operators}): logical operator
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- \`statement1\`, \`statement2\`, ... (comparison statements or logical operation \
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statements): one or more statements to apply the operation to
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Make sure that you only use the comparators and logical operators listed above and \
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no others.
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Make sure that filters only refer to attributes that exist in the data source.
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Make sure that filters only use the attributed names with its function names if there are functions applied on them.
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Make sure that filters only use format \`YYYY-MM-DD\` when handling timestamp data typed values.
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Make sure that filters take into account the descriptions of attributes and only make \
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comparisons that are feasible given the type of data being stored.
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Make sure that filters are only used as needed. If there are no filters that should be \
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applied return "NO_FILTER" for the filter value.\
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`;
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exports.DEFAULT_PREFIX = `\
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Your goal is to structure the user's query to match the request schema provided below.
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{schema}\
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`;
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exports.DEFAULT_SUFFIX = `\
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<< Example {i}. >>
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Data Source:
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\`\`\`json
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{{{{
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"content": "{content}",
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"attributes": {attributes}
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}}}}
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\`\`\`
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User Query:
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{{query}}
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Structured Request:
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`;
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