pryscraper/pryextras.py
cryptorugmunch bb77eb5f35 chore(license): re-license to dual MIT (core) + BSL 1.1 (stealth)
Re-license Pry from full Proprietary to a dual-license model:

- Core engine, extraction, templates (80+), MCP server, x402 payment rail,
  CLI, SDK, browser extension, WordPress plugin, Shopify app, and
  llm_providers: MIT (see LICENSE)
- Anti-detection / stealth subset (15 files): BSL 1.1 with Change Date
  2029-01-01 (see LICENSE-BSL-STEALTH)

BSL files (anti-detection moat):
  ultimate_scraper.py, stealth_engine.py, stealth_scripts/*.js (6),
  camoufox_integration.py, tls_fingerprint.py, cookie_warmer.py,
  behavioral_biometrics.py, adaptive.py, browser_pool.py, network.py,
  captcha_solver.py, shadow_dom.py, lazy_load.py, signup_automator.py,
  auth_connector.py

This enables community contributions to the core engine (templates,
integrations, MCP tools) while protecting the anti-detection techniques
that constitute the actual competitive moat. BSL Additional Use Grant
permits free non-production use; production deployment requires a
commercial license from enterprise@rugmunch.io.

Changes:
- Replace proprietary LICENSE with MIT LICENSE + new LICENSE-BSL-STEALTH
- Add SPDX-License-Identifier headers to 300+ source files
- Add docs/adr/0002-dual-licensing.md (ADR documenting the decision)
- Update README.md: new License section with BSL Additional Use Grant
- Update LICENSING_PRICING_STRATEGY.md: Section 3 (PryScraper) for dual license
- Update AGENTS.md: license line in header + new rule 8 (PRs touching BSL rejected)
- Update pyproject.toml: license = "MIT AND BSL-1.1" + classifiers + license-files
- Update DECISIONS.md index with ADR-0002
- Update STATUS.md (2026-07-03) and PLAN.md sprint goals

Refs: ADR-0002
2026-07-02 19:49:21 +02:00

178 lines
5.8 KiB
Python

"""Pry — WebSocket streaming, scheduler, batch-file, recorder, transforms.
New capabilities that make Pry unbeatable."""
# SPDX-License-Identifier: MIT
# Copyright (c) 2026 Rug Munch Media LLC
#
# Part of Pry — https://git.rugmunch.io/RugMunchMedia/pryscraper
# Licensed under MIT. See LICENSE.
import csv
import io
import json
from datetime import UTC, datetime
from typing import Any
class StreamManager:
"""Manages WebSocket connections for real-time data streaming."""
def __init__(self):
self._connections: dict[str, set] = {}
def register(self, job_id: str, websocket):
if job_id not in self._connections:
self._connections[job_id] = set()
self._connections[job_id].add(websocket)
def unregister(self, job_id: str, websocket):
self._connections.get(job_id, set()).discard(websocket)
async def broadcast(self, job_id: str, data: dict):
for ws in self._connections.get(job_id, set()).copy():
try:
await ws.send_json(data)
except Exception:
self._connections.get(job_id, set()).discard(ws)
streams = StreamManager()
class BatchProcessor:
"""Process URLs from a file with a template selector."""
async def from_file(
self, filepath: str, template: dict, timeout: int = 30, max_urls: int = 1000
) -> list[dict]:
from scraper import PryScraper
s = PryScraper()
# Read URLs from file (one per line)
with open(filepath) as f:
urls = [line.strip() for line in f if line.strip() and not line.startswith("#")]
urls = urls[:max_urls]
from extractor import SchemaExtractor
ex = SchemaExtractor()
results = []
for i, url in enumerate(urls):
try:
result = await s.scrape(url, {"timeout": timeout})
if result.get("status") == "ok":
extracted = ex._pattern_extract(result.get("content", ""), template)
results.append({"url": url, "status": "ok", "data": extracted})
else:
results.append({"url": url, "status": "error", "error": result.get("error")})
except Exception as e:
results.append({"url": url, "status": "error", "error": str(e)})
# Progress update every 50 URLs
if (i + 1) % 50 == 0:
await streams.broadcast(
"batch", {"progress": f"{i + 1}/{len(urls)}", "results": len(results)}
)
return results
class Recorder:
"""Record browser interactions and export as automation scripts."""
def __init__(self):
self._recordings: dict[str, list[dict]] = {}
def start(self, session_id: str):
self._recordings[session_id] = []
def record(self, session_id: str, action: str, selector: str = "", value: str = ""):
if session_id not in self._recordings:
self._recordings[session_id] = []
self._recordings[session_id].append(
{
"action": action,
"selector": selector,
"value": value,
"timestamp": datetime.now(UTC).isoformat(),
}
)
def export(self, session_id: str, fmt: str = "json") -> Any:
steps = self._recordings.get(session_id, [])
if fmt == "json":
return json.dumps(steps, indent=2)
elif fmt == "yaml":
lines = ["steps:"]
for s in steps:
lines.append(f" - action: {s['action']}")
if s.get("selector"):
lines.append(f' selector: "{s["selector"]}"')
if s.get("value"):
lines.append(f' value: "{s["value"]}"')
return "\n".join(lines)
elif fmt == "pry":
# Generate pry.yml compatible output
return {"steps": steps}
return steps
def clear(self, session_id: str):
self._recordings.pop(session_id, None)
recorder = Recorder()
class TransformEngine:
"""Transform scraped data into multiple output formats."""
@staticmethod
def to_sql(data: dict, table: str = "scraped_data") -> str:
"""Convert scraped data to SQL INSERT statement."""
columns = list(data.keys())
values = []
for v in data.values():
if isinstance(v, str):
escaped = v.replace("'", "''")
values.append(f"'{escaped}'")
elif v is None:
values.append("NULL")
else:
values.append(str(v))
cols = ", ".join(columns)
vals = ", ".join(values)
return f"INSERT INTO {table} ({cols}) VALUES ({vals});"
@staticmethod
def to_csv(data: list[dict]) -> str:
"""Convert list of dicts to CSV string."""
if not data:
return ""
buf = io.StringIO()
w = csv.DictWriter(buf, fieldnames=data[0].keys())
w.writeheader()
w.writerows(data)
return buf.getvalue()
@staticmethod
def to_html_table(data: list[dict]) -> str:
"""Convert list of dicts to HTML table."""
if not data:
return "<table></table>"
cols = data[0].keys()
rows = "\n".join(
f" <tr>{''.join(f'<td>{v}</td>' for v in row.values())}</tr>" for row in data
)
return f"<table>\n <tr>{''.join(f'<th>{c}</th>' for c in cols)}</tr>\n{rows}\n</table>"
@staticmethod
def to_markdown_table(data: list[dict]) -> str:
if not data:
return ""
cols = list(data[0].keys())
header = "| " + " | ".join(cols) + " |"
sep = "| " + " | ".join(["---"] * len(cols)) + " |"
rows = "\n".join("| " + " | ".join(str(v) for v in row.values()) + " |" for row in data)
return f"{header}\n{sep}\n{rows}"