Files
stonks-oracle/services/adapters/macro_news_adapter.py
T

145 lines
5.2 KiB
Python

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