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from __future__ import annotations
import json
import os
import re
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from urllib.parse import urlparse
from fastapi.testclient import TestClient
from app.api.routes import scrape as scrape_routes
from app.core.env import WebScraperEnv
from app.main import app
BASE_PLUGINS = ["mcp-browser", "mcp-search", "mcp-html"]
DEFAULT_AGENTS = ["planner", "navigator", "extractor", "verifier"]
NON_TEMPLATE_EXISTING_ASSETS = [
"https://www.python.org/",
"https://www.mozilla.org/",
"https://www.apple.com/",
"https://www.microsoft.com/",
"https://openai.com/",
"https://www.cloudflare.com/",
"https://www.digitalocean.com/",
"https://www.oracle.com/",
"https://www.ibm.com/",
"https://www.cisco.com/",
"https://www.adobe.com/",
"https://slack.com/",
"https://www.notion.so/",
"https://vercel.com/",
"https://www.netlify.com/",
"https://www.heroku.com/",
"https://www.docker.com/",
"https://kubernetes.io/",
"https://ubuntu.com/",
"https://www.debian.org/",
"https://archlinux.org/",
"https://www.rust-lang.org/",
"https://go.dev/",
"https://nodejs.org/",
"https://deno.com/",
"https://www.postgresql.org/",
"https://www.mysql.com/",
"https://www.sqlite.org/",
"https://www.apache.org/",
"https://nginx.org/",
"https://home.cern/",
"https://www.nasa.gov/",
"https://www.who.int/",
"https://www.un.org/",
"https://example.com/",
]
@dataclass(frozen=True)
class Case:
asset: str
mode: str
output_format: str
instructions: str
output_instructions: str
expected_columns: tuple[str, ...]
def _build_html_payload(url: str) -> str:
parsed = urlparse(url)
domain = parsed.netloc or "example.com"
path = parsed.path or "/"
slug = path.strip("/").replace("/", "-") or "home"
return f"""
<html>
<head>
<title>{domain} :: {slug}</title>
<meta name="description" content="Mock page for {domain} and {slug}" />
</head>
<body>
<h1>{domain} heading</h1>
<p>Offline deterministic content for {url}. Contact: test+{slug}@example.com</p>
<article class="card">
<h2><a href="/alpha/item-one">alpha / item-one</a></h2>
<div>stars 1,234 forks 210</div>
</article>
<article class="card">
<h2><a href="/beta/item-two">beta / item-two</a></h2>
<div>stars 987 forks 145</div>
</article>
<a href="https://{domain}/about">About</a>
<a href="https://{domain}/contact">Contact</a>
</body>
</html>
"""
def _requested_columns(output_instructions: str) -> tuple[str, ...]:
cleaned = output_instructions.strip()
cleaned = re.sub(r"^(?:csv|json|table)\s+of\s+", "", cleaned, flags=re.IGNORECASE)
cleaned = cleaned.replace(" and ", ", ")
columns: list[str] = []
for piece in cleaned.split(","):
value = re.sub(r"[^A-Za-z0-9_]+", " ", piece).strip().lower().replace(" ", "_")
if value and value not in columns:
columns.append(value)
return tuple(columns)
def _cases() -> list[Case]:
matrix: list[Case] = []
for asset in NON_TEMPLATE_EXISTING_ASSETS:
matrix.append(
Case(
asset=asset,
mode="question",
output_format="text",
instructions="What is the main content and key sections on this website?",
output_instructions="Answer as plain text with a concise summary.",
expected_columns=(),
)
)
csv_instruction = "csv of title, url, content"
matrix.append(
Case(
asset=asset,
mode="csv",
output_format="csv",
instructions="Extract key entities and links from this website.",
output_instructions=csv_instruction,
expected_columns=_requested_columns(csv_instruction),
)
)
json_instruction = "json of title, url, content"
matrix.append(
Case(
asset=asset,
mode="json",
output_format="json",
instructions="Extract key entities and links from this website.",
output_instructions=json_instruction,
expected_columns=_requested_columns(json_instruction),
)
)
return matrix
def _build_payload(case: Case) -> dict[str, Any]:
return {
"assets": [case.asset],
"instructions": case.instructions,
"output_instructions": case.output_instructions,
"output_format": case.output_format,
"complexity": "low",
"model": "llama-3.1-70b-versatile",
"provider": "groq",
"enable_memory": True,
"enable_plugins": list(BASE_PLUGINS),
"selected_agents": list(DEFAULT_AGENTS),
"max_steps": 30,
}
def _collect_stream_events(client: TestClient, payload: dict[str, Any]) -> list[dict[str, Any]]:
events: list[dict[str, Any]] = []
with client.stream("POST", "/api/scrape/stream", json=payload) as response:
if response.status_code != 200:
raise RuntimeError(f"stream request failed with status {response.status_code}")
for raw_line in response.iter_lines():
if not raw_line:
continue
line = raw_line if isinstance(raw_line, str) else raw_line.decode("utf-8", errors="ignore")
if not line.startswith("data: "):
continue
try:
events.append(json.loads(line[6:]))
except json.JSONDecodeError:
continue
return events
def _schema_ok(complete_data: dict[str, Any], case: Case) -> bool:
if not case.expected_columns:
output = complete_data.get("output")
return isinstance(output, str) and bool(output.strip())
extracted_data = complete_data.get("extracted_data")
if case.output_format == "csv":
if not isinstance(extracted_data, dict):
return False
return tuple(extracted_data.get("columns") or []) == case.expected_columns
if not isinstance(extracted_data, dict):
return False
rows: list[dict[str, Any]] = []
for value in extracted_data.values():
if isinstance(value, list):
rows = value
break
if not rows or not isinstance(rows[0], dict):
return False
return tuple(rows[0].keys()) == case.expected_columns
def run_matrix() -> dict[str, Any]:
os.environ["SCRAPERL_DISABLE_LIVE_LLM"] = "1"
original_execute_navigate = WebScraperEnv._execute_navigate
original_search_urls = scrape_routes._search_urls_with_mcp
original_fetch_reddit = scrape_routes._fetch_reddit_communities
async def fake_execute_navigate(self: WebScraperEnv, url: str) -> dict[str, Any]:
normalized = str(url).strip()
if not normalized.startswith("http"):
normalized = f"https://{normalized}"
self._page_content_type = "text/html; charset=utf-8"
self._page_html = _build_html_payload(normalized)
self._page_title = urlparse(normalized).netloc or "example.com"
return {
"success": True,
"url": normalized,
"status_code": 200,
"content_type": self._page_content_type,
"tls_verification_bypassed": False,
}
async def fake_search_urls(query: str, max_results: int = 6) -> list[str]:
token = re.sub(r"[^a-z0-9]+", "-", query.lower()).strip("-") or "query"
count = max(1, min(max_results, 3))
return [f"https://{token}.example.com/source-{index}" for index in range(1, count + 1)]
def fake_fetch_reddit_communities(limit: int = 25) -> tuple[list[dict[str, Any]], str]:
rows: list[dict[str, Any]] = []
for index in range(limit):
rows.append(
{
"subreddit": f"r/mockcommunity{index + 1}",
"title": f"Mock Community {index + 1}",
"subscribers": 200000 - (index * 1000),
"active_users": 15000 - (index * 100),
"url": f"https://www.reddit.com/r/mockcommunity{index + 1}/",
"description": "Offline mocked Reddit community",
}
)
return rows, "mock_reddit_json"
WebScraperEnv._execute_navigate = fake_execute_navigate
scrape_routes._search_urls_with_mcp = fake_search_urls
scrape_routes._fetch_reddit_communities = fake_fetch_reddit_communities
started = time.time()
summary: dict[str, Any] = {
"target_count": len(NON_TEMPLATE_EXISTING_ASSETS),
"cases": len(_cases()),
"completed": 0,
"partial": 0,
"failed": 0,
"schema_failures": 0,
"format_failures": 0,
"failures": [],
}
try:
with TestClient(app) as client:
for case in _cases():
payload = _build_payload(case)
session_id: str | None = None
try:
events = _collect_stream_events(client, payload)
init_event = next((event for event in events if event.get("type") == "init"), None)
complete_event = next((event for event in events if event.get("type") == "complete"), None)
if not init_event or not complete_event:
raise RuntimeError("missing init/complete events")
session_id = str(init_event.get("session_id", ""))
complete_data = complete_event.get("data") or {}
status = str(complete_data.get("status", "failed"))
output_format = str(complete_data.get("output_format", ""))
if output_format != case.output_format:
summary["format_failures"] += 1
raise RuntimeError(f"output format mismatch: expected {case.output_format}, got {output_format}")
if not _schema_ok(complete_data, case):
summary["schema_failures"] += 1
raise RuntimeError("schema check failed")
if status == "completed":
summary["completed"] += 1
else:
summary["partial"] += 1
except Exception as exc: # noqa: BLE001
summary["failed"] += 1
if len(summary["failures"]) < 30:
summary["failures"].append(
{
"asset": case.asset,
"mode": case.mode,
"error": str(exc),
}
)
finally:
if session_id:
client.delete(f"/api/scrape/{session_id}/cleanup")
finally:
WebScraperEnv._execute_navigate = original_execute_navigate
scrape_routes._search_urls_with_mcp = original_search_urls
scrape_routes._fetch_reddit_communities = original_fetch_reddit
summary["duration_seconds"] = round(time.time() - started, 2)
return summary
def write_report(summary: dict[str, Any]) -> None:
project_root = Path(__file__).resolve().parents[3]
reports_dir = project_root / "docs" / "reports"
reports_dir.mkdir(parents=True, exist_ok=True)
out_path = reports_dir / "non-template-existing-summary.json"
out_path.write_text(json.dumps(summary, indent=2), encoding="utf-8")
def main() -> None:
summary = run_matrix()
write_report(summary)
print(json.dumps(summary, indent=2))
if __name__ == "__main__":
main()
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