feat: competitive intelligence & historical pattern matching layer
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"""Macro news adapter for global/geopolitical news ingestion.
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Fetches macro-level news articles from configured sources for global event
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classification. Reuses the same adapter pattern as company-specific news
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but targets macro-focused endpoints and does not require a ticker.
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Requirements: 1.1, 1.2, 1.3, 1.4
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"""
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import hashlib
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import logging
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import time
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from datetime import datetime, timezone
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from typing import Any
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import httpx
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from .base import AdapterResult, BaseAdapter
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logger = logging.getLogger("macro_news_adapter")
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class MacroNewsAdapter(BaseAdapter):
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"""Adapter for fetching macro/geopolitical news from configured sources.
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Supports fetching from any HTTP endpoint that returns JSON with a list
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of news articles. The endpoint URL and response parsing are configured
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via the source config dict.
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Config options:
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url: The endpoint URL to fetch from
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limit: Max articles to return per request (default 20)
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params: Additional query parameters as a dict
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results_key: JSON key containing the article list (default "results")
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"""
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def __init__(self, api_key: str = "", base_url: str = "") -> None:
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self.api_key = api_key
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self.base_url = base_url.rstrip("/") if base_url else ""
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def source_type(self) -> str:
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return "macro_news"
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async def fetch(self, ticker: str, config: dict[str, Any]) -> AdapterResult:
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"""Fetch macro news articles from the configured endpoint.
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The ticker parameter is ignored for macro sources — these are
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global/geopolitical news, not company-specific.
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Args:
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ticker: Ignored for macro sources (may be empty string).
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config: Source-specific configuration with url, params, etc.
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Returns:
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AdapterResult with raw payload and parsed article items.
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"""
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url = config.get("url", "")
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if not url and self.base_url:
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url = self.base_url
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if not url:
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return self._error_result("No URL configured for macro news source")
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params = dict(config.get("params", {}))
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if self.api_key:
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params["apiKey"] = self.api_key
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limit = config.get("limit", 20)
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params["limit"] = str(min(int(limit), 1000))
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async with httpx.AsyncClient(timeout=30) as client:
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t0 = time.monotonic()
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try:
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resp = await client.get(url, params=params)
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elapsed_ms = (time.monotonic() - t0) * 1000
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resp.raise_for_status()
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raw = resp.content
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data = resp.json()
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content_hash = hashlib.sha256(raw).hexdigest()
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results_key = config.get("results_key", "results")
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items = data.get(results_key, [])
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if not isinstance(items, list):
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items = []
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return AdapterResult(
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source_type="macro_news",
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ticker="",
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items=items,
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raw_payload=raw,
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content_hash=content_hash,
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fetched_at=datetime.now(timezone.utc),
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http_status=resp.status_code,
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response_time_ms=round(elapsed_ms, 1),
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metadata={
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"provider": config.get("provider", "macro"),
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"results_count": len(items),
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},
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)
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except httpx.HTTPStatusError as e:
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elapsed_ms = (time.monotonic() - t0) * 1000
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logger.error("Macro news HTTP error: %s", e)
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return self._error_result(
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str(e), elapsed_ms,
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http_status=e.response.status_code if e.response else None,
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raw=e.response.content if e.response else b"",
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)
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except httpx.TimeoutException as e:
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elapsed_ms = (time.monotonic() - t0) * 1000
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logger.error("Macro news timeout: %s", e)
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return self._error_result(f"timeout: {e}", elapsed_ms)
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except Exception as e:
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elapsed_ms = (time.monotonic() - t0) * 1000
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logger.error("Macro news fetch failed: %s", e)
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return self._error_result(str(e), elapsed_ms)
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def _error_result(
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self,
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error: str,
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elapsed_ms: float = 0.0,
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http_status: int | None = None,
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raw: bytes = b"",
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) -> AdapterResult:
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"""Build an error AdapterResult for macro news fetches."""
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return AdapterResult(
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source_type="macro_news",
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ticker="",
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items=[],
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raw_payload=raw,
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content_hash="",
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fetched_at=datetime.now(timezone.utc),
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error=error,
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http_status=http_status,
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response_time_ms=round(elapsed_ms, 1),
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metadata={"provider": "macro"},
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)
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