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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

121 lines
3.6 KiB
TypeScript

import type { EnrichSearchPostsParams, EnrichSearchPostsResponse } from '@/tools/enrich/types'
import type { ToolConfig } from '@/tools/types'
export const searchPostsTool: ToolConfig<EnrichSearchPostsParams, EnrichSearchPostsResponse> = {
id: 'enrich_search_posts',
name: 'Enrich Search Posts',
description: 'Search LinkedIn posts by keywords with date filtering.',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Enrich API key',
},
keywords: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Search keywords (e.g., "AI automation")',
},
datePosted: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Time filter (e.g., past_week, past_month)',
},
page: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Page number (default: 1)',
},
},
request: {
url: 'https://api.enrich.so/v1/api/search-posts',
method: 'POST',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
'Content-Type': 'application/json',
Accept: 'application/json',
}),
body: (params) => {
const body: Record<string, any> = {
keywords: params.keywords,
}
if (params.datePosted) body.date_posted = params.datePosted
if (params.page) body.page = params.page
return body
},
},
transformResponse: async (response: Response) => {
const data = await response.json()
const posts =
data.data?.map((post: any) => ({
url: post.url ?? null,
postId: post.post_id ?? null,
author: {
name: post.author?.name ?? null,
headline: post.author?.headline ?? null,
linkedInUrl: post.author?.linkedin_url ?? null,
profileImage: post.author?.profile_image ?? null,
},
timestamp: post.post?.timestamp ?? null,
textContent: post.post?.text_content ?? null,
hashtags: post.post?.hashtags ?? [],
mediaUrls: post.post?.post_media_url ?? [],
reactions: post.engagement?.reactions ?? 0,
commentsCount: post.engagement?.comments_count ?? 0,
})) ?? []
return {
success: true,
output: {
count: data.count ?? posts.length,
posts,
},
}
},
outputs: {
count: {
type: 'number',
description: 'Total number of results',
},
posts: {
type: 'array',
description: 'Search results',
items: {
type: 'object',
properties: {
url: { type: 'string', description: 'Post URL' },
postId: { type: 'string', description: 'Post ID' },
author: {
type: 'object',
description: 'Author information',
properties: {
name: { type: 'string', description: 'Author name' },
headline: { type: 'string', description: 'Author headline' },
linkedInUrl: { type: 'string', description: 'Author LinkedIn URL' },
profileImage: { type: 'string', description: 'Author profile image' },
},
},
timestamp: { type: 'string', description: 'Post timestamp' },
textContent: { type: 'string', description: 'Post text content' },
hashtags: { type: 'array', description: 'Hashtags' },
mediaUrls: { type: 'array', description: 'Media URLs' },
reactions: { type: 'number', description: 'Number of reactions' },
commentsCount: { type: 'number', description: 'Number of comments' },
},
},
},
},
}