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https://github.com/cjudice-commits/prediction-market-arb.git
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Casey Judice
05c0441053
- Monthly + hourly Kalshi/Polymarket arb scanner (stdlib-only Python). - Live positions tab w/ realized P&L history. - GitHub Actions cron workflow texts SMS via Apps Script webhook on newly-detected arbs. State persisted in alerts_state.json. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
"""Tiny stdlib HTTP JSON helpers + a bounded thread pool for fan-out fetches."""
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import json
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import time
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import urllib.request
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import urllib.error
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from concurrent.futures import ThreadPoolExecutor
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_HEADERS = {
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"User-Agent": "Mozilla/5.0 (prediction-market-arb)",
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"Accept": "application/json",
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}
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class FetchError(Exception):
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pass
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def get_json(url, timeout=20, retries=2):
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last = None
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for attempt in range(retries + 1):
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req = urllib.request.Request(url, headers=_HEADERS)
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try:
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with urllib.request.urlopen(req, timeout=timeout) as r:
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return json.loads(r.read().decode())
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except urllib.error.HTTPError as e:
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last = FetchError("HTTP %s for %s" % (e.code, url))
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if e.code not in (429, 500, 502, 503, 504):
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raise last
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except Exception as e: # URLError, timeout, JSON, etc.
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last = FetchError("%s for %s" % (type(e).__name__, url))
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if attempt < retries:
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time.sleep(0.4 * (attempt + 1)) # linear backoff
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raise last
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def post_json(url, payload, timeout=25):
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data = json.dumps(payload).encode()
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headers = dict(_HEADERS)
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headers["Content-Type"] = "application/json"
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req = urllib.request.Request(url, data=data, headers=headers, method="POST")
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try:
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with urllib.request.urlopen(req, timeout=timeout) as r:
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return json.loads(r.read().decode())
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except urllib.error.HTTPError as e:
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raise FetchError("HTTP %s for %s" % (e.code, url))
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except Exception as e:
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raise FetchError("%s for %s" % (type(e).__name__, url))
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def parallel(fn, items, workers=16):
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"""Map fn over items concurrently; returns {item: result_or_FetchError}."""
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out = {}
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if not items:
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return out
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with ThreadPoolExecutor(max_workers=min(workers, len(items))) as ex:
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futs = {ex.submit(fn, it): it for it in items}
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for fut in futs:
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it = futs[fut]
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try:
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out[it] = fut.result()
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except FetchError as e:
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out[it] = e
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except Exception as e: # never let one bad fetch kill the scan
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out[it] = FetchError("%s: %s" % (type(e).__name__, e))
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return out
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