# Heal Sandbox Test (`s7_studio/heal-sandbox-test`) Actor

Throwaway sandbox actor used only to prove the autonomous self-healing (T2/agy) loop end-to-end. Not a Store product.

- **URL**: https://apify.com/s7\_studio/heal-sandbox-test.md
- **Developed by:** [S7 Studio](https://apify.com/s7_studio) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## heal-sandbox-test — T2 auto-repair regression fixture

**NOT a Store actor.** A deliberately-trivial, self-contained actor whose only job is to prove the
autonomous **T2** code-fix loop (`departments/05_heal/skills/agy_fix.py`) works end-to-end on real
Apify infra. Bond made it a PERMANENT fixture (2026-06-19) so the loop can be re-proven anytime the
heal system changes.

It parses a tiny embedded HTML catalog (3 `<div class="product">` cards) with parsel and pushes one
row per product — no network, no `_shared`, no anti-bot → fully deterministic, so a deliberate break
is unambiguous and the fix is verifiable on a cloud smoke run.

### Re-prove the T2 loop (≈3 min, our lane)

1. **Break it** — change the selector in `src/main.py`:
   `for node in sel.css("div.product")` → `sel.css("div.item")` (now finds 0 products).
2. **Make the repair task** (`data/repair_queue/heal-sandbox-test.task.json`) with `actor`,
   `bare_name`, `repo_dir`, optional `last_run_id`/`error_hint` — or let `autorepair.detect()` enqueue it.
3. **Run T2 live:**
   ```
   python3 departments/05_heal/skills/agy_fix.py --task data/repair_queue/heal-sandbox-test.task.json --live
   ```
4. **Expect:** agy GENERATES the corrected file → `_apply_blocks` writes it → forbidden-diff guard PASS
   → pytest → adversarial review APPROVE → deploy → cloud smoke **PASS (3 records)** → `RESOLVED_T2`,
   `src/main.py` healed back to `div.product`. The record lands in `data/insights/incidents.jsonl`.

A green run proves: agy-as-generator returns (no headless hang), the money-line guard only allows
`src/`, the deploy+rollback chain works, and the cloud smoke gate is honest. First proven 2026-06-19
(flushed 4 production-fatal bugs in the T2 fixer — see memory `agy-fix-generation-mode`).

# Actor input Schema

## `maxItems` (type: `integer`):

Ignored — the sandbox parses a fixed embedded catalog.

## Actor input object example

```json
{
  "maxItems": 3
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with the scraped records.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("s7_studio/heal-sandbox-test").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 3 }

# Run the Actor and wait for it to finish
run = client.actor("s7_studio/heal-sandbox-test").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 3
}' |
apify call s7_studio/heal-sandbox-test --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s7_studio/heal-sandbox-test"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ydhLaKFKXdvYbO0Am/builds/8enH3Fs1fa6jwZb8q/openapi.json