chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:20:55 +08:00
commit d25d482dc2
13754 changed files with 4996608 additions and 0 deletions
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import type { GetDatasetItemsParams, GetDatasetItemsResult } from '@/tools/apify/types'
import type { ToolConfig } from '@/tools/types'
export const apifyGetDatasetItemsTool: ToolConfig<GetDatasetItemsParams, GetDatasetItemsResult> = {
id: 'apify_get_dataset_items',
name: 'APIFY Get Dataset Items',
description: 'Retrieve items stored in an APIFY dataset',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'APIFY API token from console.apify.com/account#/integrations',
},
datasetId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Dataset ID to read items from. Example: "9RnD3Pql2vGZkc5H5"',
},
itemLimit: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Max items to return (1-250000). Default: all items. Example: 500',
},
offset: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Number of items to skip at the start. Default: 0',
},
fields: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Comma-separated list of fields to include. Example: "title,url,price"',
},
},
request: {
url: (params) => {
const encodedDatasetId = encodeURIComponent(params.datasetId.trim())
const baseUrl = `https://api.apify.com/v2/datasets/${encodedDatasetId}/items`
const queryParams = new URLSearchParams()
queryParams.set('clean', 'true')
if (params.itemLimit) {
const limit = Math.max(1, Math.min(params.itemLimit, 250000))
queryParams.set('limit', limit.toString())
}
if (params.offset != null) {
queryParams.set('offset', params.offset.toString())
}
if (params.fields) {
queryParams.set('fields', params.fields)
}
return `${baseUrl}?${queryParams.toString()}`
},
method: 'GET',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
}),
},
transformResponse: async (response, params) => {
if (!response.ok) {
const errorText = await response.text()
return {
success: false,
output: { success: false, datasetId: params?.datasetId ?? '', items: [], count: 0 },
error: `APIFY API error: ${errorText}`,
}
}
const items = await response.json()
const list = Array.isArray(items) ? items : []
return {
success: true,
output: {
success: true,
datasetId: params?.datasetId ?? '',
items: list,
count: list.length,
},
}
},
outputs: {
success: { type: 'boolean', description: 'Whether the items were retrieved' },
datasetId: { type: 'string', description: 'Dataset ID the items were read from' },
items: { type: 'array', description: 'Items stored in the dataset' },
count: { type: 'number', description: 'Number of items returned' },
},
}
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import type { ApifyRun, GetRunParams, GetRunResult } from '@/tools/apify/types'
import type { ToolConfig } from '@/tools/types'
export const apifyGetRunTool: ToolConfig<GetRunParams, GetRunResult> = {
id: 'apify_get_run',
name: 'APIFY Get Run',
description: 'Get the status and details of an APIFY actor run',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'APIFY API token from console.apify.com/account#/integrations',
},
runId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Actor run ID to fetch. Example: "HG7ML7M8z78YcAPEB"',
},
},
request: {
url: (params) =>
`https://api.apify.com/v2/actor-runs/${encodeURIComponent(params.runId.trim())}`,
method: 'GET',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
}),
},
transformResponse: async (response, params) => {
if (!response.ok) {
const errorText = await response.text()
return {
success: false,
output: {
success: false,
runId: params?.runId ?? '',
status: 'ERROR',
startedAt: null,
finishedAt: null,
datasetId: null,
keyValueStoreId: null,
stats: null,
},
error: `APIFY API error: ${errorText}`,
}
}
const data = await response.json()
const run = data.data as ApifyRun
return {
success: true,
output: {
success: true,
runId: run.id,
status: run.status,
startedAt: run.startedAt ?? null,
finishedAt: run.finishedAt ?? null,
datasetId: run.defaultDatasetId ?? null,
keyValueStoreId: run.defaultKeyValueStoreId ?? null,
stats: run.stats ?? null,
},
}
},
outputs: {
success: { type: 'boolean', description: 'Whether the run was found' },
runId: { type: 'string', description: 'APIFY run ID' },
status: { type: 'string', description: 'Run status (READY, RUNNING, SUCCEEDED, FAILED, etc.)' },
startedAt: {
type: 'string',
description: 'When the run started (ISO timestamp)',
optional: true,
},
finishedAt: {
type: 'string',
description: 'When the run finished (ISO timestamp)',
optional: true,
},
datasetId: { type: 'string', description: 'Default dataset ID for the run', optional: true },
keyValueStoreId: {
type: 'string',
description: 'Default key-value store ID for the run',
optional: true,
},
stats: { type: 'json', description: 'Run statistics (memory, CPU, duration)', optional: true },
},
}
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export { apifyGetDatasetItemsTool } from './get_dataset_items'
export { apifyGetRunTool } from './get_run'
export { apifyRunActorAsyncTool } from './run_actor_async'
export { apifyRunActorSyncTool } from './run_actor_sync'
export { apifyRunTaskTool } from './run_task'
export * from './types'
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import { sleep } from '@sim/utils/helpers'
import { DEFAULT_EXECUTION_TIMEOUT_MS } from '@/lib/core/execution-limits'
import type { ApifyRun, RunActorParams, RunActorResult } from '@/tools/apify/types'
import type { ToolConfig } from '@/tools/types'
const POLL_INTERVAL_MS = 5000
const MAX_POLL_TIME_MS = DEFAULT_EXECUTION_TIMEOUT_MS
export const apifyRunActorAsyncTool: ToolConfig<RunActorParams, RunActorResult> = {
id: 'apify_run_actor_async',
name: 'APIFY Run Actor (Async)',
description: 'Run an APIFY actor asynchronously with polling for long-running tasks',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'APIFY API token from console.apify.com/account#/integrations',
},
actorId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description:
'Actor ID or username/actor-name. Examples: "apify/web-scraper", "janedoe/my-actor", "moJRLRc85AitArpNN"',
},
input: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description:
'Actor input as JSON string. Example: {"startUrls": [{"url": "https://example.com"}], "maxPages": 10}',
},
waitForFinish: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Initial wait time in seconds (0-60) before polling starts. Example: 30',
},
itemLimit: {
type: 'number',
required: false,
default: 100,
visibility: 'user-or-llm',
description: 'Max dataset items to fetch (1-250000). Default: 100. Example: 500',
},
memory: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description:
'Memory in megabytes allocated for the actor run (128-32768). Example: 1024 for 1GB, 2048 for 2GB',
},
timeout: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description:
'Timeout in seconds for the actor run. Example: 300 for 5 minutes, 3600 for 1 hour',
},
build: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Actor build to run. Examples: "latest", "beta", "1.2.3", "build-tag-name"',
},
},
request: {
url: (params) => {
const encodedActorId = encodeURIComponent(params.actorId.trim())
const baseUrl = `https://api.apify.com/v2/acts/${encodedActorId}/runs`
const queryParams = new URLSearchParams()
if (params.waitForFinish !== undefined) {
const waitTime = Math.max(0, Math.min(params.waitForFinish, 60))
queryParams.set('waitForFinish', waitTime.toString())
}
if (params.memory) {
queryParams.set('memory', params.memory.toString())
}
if (params.timeout) {
queryParams.set('timeout', params.timeout.toString())
}
if (params.build) {
queryParams.set('build', params.build)
}
const query = queryParams.toString()
return query ? `${baseUrl}?${query}` : baseUrl
},
method: 'POST',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
'Content-Type': 'application/json',
}),
body: (params) => {
let inputData = {}
if (params.input) {
try {
inputData = JSON.parse(params.input)
} catch (e) {
throw new Error('Invalid JSON in input parameter')
}
}
return inputData
},
},
transformResponse: async (response) => {
if (!response.ok) {
const errorText = await response.text()
return {
success: false,
output: { success: false, runId: '', status: 'ERROR' },
error: `APIFY API error: ${errorText}`,
}
}
const data = await response.json()
const run = data.data as ApifyRun
return {
success: true,
output: {
success: true,
runId: run.id,
status: run.status,
datasetId: run.defaultDatasetId,
},
}
},
postProcess: async (result, params) => {
if (!result.success) {
return result
}
const runId = result.output.runId
let elapsedTime = 0
while (elapsedTime < MAX_POLL_TIME_MS) {
await sleep(POLL_INTERVAL_MS)
elapsedTime += POLL_INTERVAL_MS
const statusResponse = await fetch(`https://api.apify.com/v2/actor-runs/${runId}`, {
headers: {
Authorization: `Bearer ${params.apiKey}`,
},
})
if (!statusResponse.ok) {
return {
success: false,
output: { success: false, runId, status: 'UNKNOWN' },
error: 'Failed to fetch run status',
}
}
const statusData = await statusResponse.json()
const run = statusData.data as ApifyRun
if (
run.status === 'SUCCEEDED' ||
run.status === 'FAILED' ||
run.status === 'ABORTED' ||
run.status === 'TIMED-OUT'
) {
if (run.status === 'SUCCEEDED' && run.defaultDatasetId) {
const limit = Math.max(1, Math.min(params.itemLimit || 100, 250000))
const itemsResponse = await fetch(
`https://api.apify.com/v2/datasets/${run.defaultDatasetId}/items?limit=${limit}`,
{
headers: {
Authorization: `Bearer ${params.apiKey}`,
},
}
)
if (itemsResponse.ok) {
const items = await itemsResponse.json()
return {
success: true,
output: {
success: true,
runId,
status: run.status,
datasetId: run.defaultDatasetId,
items,
},
}
}
}
return {
success: run.status === 'SUCCEEDED',
output: {
success: run.status === 'SUCCEEDED',
runId,
status: run.status,
datasetId: run.defaultDatasetId,
},
error: run.status !== 'SUCCEEDED' ? `Actor run ${run.status}` : undefined,
}
}
}
return {
success: false,
output: {
success: false,
runId,
status: 'TIMEOUT',
},
error: 'Actor run timed out after 5 minutes of polling',
}
},
outputs: {
success: { type: 'boolean', description: 'Whether the actor run succeeded' },
runId: { type: 'string', description: 'APIFY run ID' },
status: { type: 'string', description: 'Run status (SUCCEEDED, FAILED, etc.)' },
datasetId: { type: 'string', description: 'Dataset ID containing results' },
items: { type: 'array', description: 'Dataset items (if completed)' },
},
}
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import type { RunActorParams, RunActorResult } from '@/tools/apify/types'
import type { ToolConfig } from '@/tools/types'
export const apifyRunActorSyncTool: ToolConfig<RunActorParams, RunActorResult> = {
id: 'apify_run_actor_sync',
name: 'APIFY Run Actor (Sync)',
description: 'Run an APIFY actor synchronously and get results (max 5 minutes)',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'APIFY API token from console.apify.com/account#/integrations',
},
actorId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description:
'Actor ID or username/actor-name. Examples: "apify/web-scraper", "janedoe/my-actor", "moJRLRc85AitArpNN"',
},
input: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description:
'Actor input as JSON string. Example: {"startUrls": [{"url": "https://example.com"}], "maxPages": 10}',
},
memory: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description:
'Memory in megabytes allocated for the actor run (128-32768). Example: 1024 for 1GB, 2048 for 2GB',
},
timeout: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description:
'Timeout in seconds for the actor run. Example: 300 for 5 minutes, 3600 for 1 hour',
},
build: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Actor build to run. Examples: "latest", "beta", "1.2.3", "build-tag-name"',
},
},
request: {
url: (params) => {
const encodedActorId = encodeURIComponent(params.actorId.trim())
const baseUrl = `https://api.apify.com/v2/acts/${encodedActorId}/run-sync-get-dataset-items`
const queryParams = new URLSearchParams()
if (params.memory) {
queryParams.set('memory', params.memory.toString())
}
if (params.timeout) {
queryParams.set('timeout', params.timeout.toString())
}
if (params.build) {
queryParams.set('build', params.build)
}
const query = queryParams.toString()
return query ? `${baseUrl}?${query}` : baseUrl
},
method: 'POST',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
'Content-Type': 'application/json',
}),
body: (params) => {
let inputData = {}
if (params.input) {
try {
inputData = JSON.parse(params.input)
} catch (e) {
throw new Error('Invalid JSON in input parameter')
}
}
return inputData
},
},
transformResponse: async (response) => {
if (!response.ok) {
const errorText = await response.text()
return {
success: false,
output: { success: false, runId: '', status: 'ERROR', items: [] },
error: `APIFY API error: ${errorText}`,
}
}
const items = await response.json()
return {
success: true,
output: {
success: true,
runId: 'sync-execution',
status: 'SUCCEEDED',
items,
},
}
},
outputs: {
success: { type: 'boolean', description: 'Whether the actor run succeeded' },
runId: { type: 'string', description: 'APIFY run ID' },
status: { type: 'string', description: 'Run status (SUCCEEDED, FAILED, etc.)' },
items: { type: 'array', description: 'Dataset items (if completed)' },
},
}
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import type { RunTaskParams, RunTaskResult } from '@/tools/apify/types'
import type { ToolConfig } from '@/tools/types'
export const apifyRunTaskTool: ToolConfig<RunTaskParams, RunTaskResult> = {
id: 'apify_run_task',
name: 'APIFY Run Task',
description: 'Run a saved APIFY actor task synchronously and get dataset items (max 5 minutes)',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'APIFY API token from console.apify.com/account#/integrations',
},
taskId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description:
'Task ID or username/task-name. Examples: "janedoe/my-task", "moJRLRc85AitArpNN"',
},
input: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description:
'JSON string that overrides the task\'s saved input. Example: {"startUrls": [{"url": "https://example.com"}]}',
},
itemLimit: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Max dataset items to return (1-250000). Example: 500',
},
memory: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Memory in megabytes allocated for the run (128-32768). Example: 1024 for 1GB',
},
timeout: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Timeout in seconds for the run. Example: 300 for 5 minutes',
},
build: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Actor build to run. Examples: "latest", "beta", "1.2.3"',
},
},
request: {
url: (params) => {
const encodedTaskId = encodeURIComponent(params.taskId.trim())
const baseUrl = `https://api.apify.com/v2/actor-tasks/${encodedTaskId}/run-sync-get-dataset-items`
const queryParams = new URLSearchParams()
if (params.itemLimit) {
const limit = Math.max(1, Math.min(params.itemLimit, 250000))
queryParams.set('limit', limit.toString())
}
if (params.memory) {
queryParams.set('memory', params.memory.toString())
}
if (params.timeout) {
queryParams.set('timeout', params.timeout.toString())
}
if (params.build) {
queryParams.set('build', params.build)
}
const query = queryParams.toString()
return query ? `${baseUrl}?${query}` : baseUrl
},
method: 'POST',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
'Content-Type': 'application/json',
}),
body: (params) => {
if (params.input) {
try {
return JSON.parse(params.input)
} catch {
throw new Error('Invalid JSON in input parameter')
}
}
return {}
},
},
transformResponse: async (response) => {
if (!response.ok) {
const errorText = await response.text()
return {
success: false,
output: { success: false, status: 'ERROR', items: [] },
error: `APIFY API error: ${errorText}`,
}
}
const items = await response.json()
return {
success: true,
output: {
success: true,
status: 'SUCCEEDED',
items: Array.isArray(items) ? items : [],
},
}
},
outputs: {
success: { type: 'boolean', description: 'Whether the task run succeeded' },
status: { type: 'string', description: 'Run status (SUCCEEDED, FAILED, etc.)' },
items: { type: 'array', description: 'Dataset items produced by the run' },
},
}
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import type { ToolResponse } from '@/tools/types'
/** Apify actor run object returned by the run/status endpoints. */
export interface ApifyRun {
id: string
actId: string
status:
| 'READY'
| 'RUNNING'
| 'SUCCEEDED'
| 'FAILED'
| 'ABORTED'
| 'TIMED-OUT'
| 'ABORTING'
| 'TIMING-OUT'
startedAt?: string
finishedAt?: string
defaultDatasetId?: string
defaultKeyValueStoreId?: string
stats?: Record<string, unknown>
}
export interface RunActorParams {
apiKey: string
actorId: string
input?: string
waitForFinish?: number // For async tool: 0-60 seconds initial wait
itemLimit?: number // For async tool: 1-250000 items, default 100
memory?: number // Memory in MB (128-32768)
timeout?: number // Timeout in seconds
build?: string // Actor build to run (e.g., "latest", "beta", build tag/number)
}
export interface RunActorResult extends ToolResponse {
output: {
success: boolean
runId: string
status: string
datasetId?: string
items?: unknown[]
}
}
export interface RunTaskParams {
apiKey: string
taskId: string
input?: string
memory?: number
timeout?: number
build?: string
itemLimit?: number
}
export interface RunTaskResult extends ToolResponse {
output: {
success: boolean
status: string
items: unknown[]
}
}
export interface GetDatasetItemsParams {
apiKey: string
datasetId: string
itemLimit?: number
offset?: number
fields?: string
}
export interface GetDatasetItemsResult extends ToolResponse {
output: {
success: boolean
datasetId: string
items: unknown[]
count: number
}
}
export interface GetRunParams {
apiKey: string
runId: string
}
export interface GetRunResult extends ToolResponse {
output: {
success: boolean
runId: string
status: string
startedAt: string | null
finishedAt: string | null
datasetId: string | null
keyValueStoreId: string | null
stats: Record<string, unknown> | null
}
}