Files
OpenFin/backend/services/fxstreet_calendar.py
OpenSquared bdbb87962d feat: FXStreet calendar — free upcoming events with forecasts (no API key)
FXStreet calendar.fxstreet.com/eventdate/ returns ~300-400 events over
6 weeks including consensus forecasts, no authentication required.
FF HTML scraper is blocked by Cloudflare even on residential IPs.
FMP free plan returns 403 on /economic_calendar (requires Starter plan).

- Add backend/services/fxstreet_calendar.py: single GET request returning
  all major currencies; maps Volatility 0/1/2 → low/medium/high
- Add POST /api/eco/fxs-sync + GET /api/eco/fxs-sync/status endpoints
- Add FXStreet to daily background sync in main.py (runs every 24h)
- Add "Sync Upcoming (FXStreet)" button in ImportPanel (no key needed)
- Fix FMP 403 error message to say endpoint requires Starter plan
- Keep FMP panel for users who upgrade to FMP Starter ($14.99/month)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-26 17:54:15 +02:00

148 lines
4.3 KiB
Python

"""
FXStreet economic calendar — upcoming events with consensus forecasts.
No API key required. Endpoint: calendar.fxstreet.com/eventdate/
Covers ~300-400 events over 6 weeks for all major currencies.
"""
import logging
from datetime import datetime, timedelta, date
from typing import Any, Dict
import httpx
logger = logging.getLogger(__name__)
_FXS_URL = "https://calendar.fxstreet.com/eventdate/"
_SUPPORTED_CCY = {"USD", "EUR", "GBP", "JPY", "AUD", "CAD", "NZD", "CHF", "CNY"}
_VOLATILITY = {0: "low", 1: "medium", 2: "high"}
_HEADERS = {
"Accept": "application/json",
"User-Agent": (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/125.0.0.0 Safari/537.36"
),
"Origin": "https://www.fxstreet.com",
"Referer": "https://www.fxstreet.com/economic-calendar",
}
def _parse_dt(dt_str: str) -> tuple[str, str]:
"""'2026-07-04T12:30:00Z' → ('2026-07-04', '12:30')"""
if not dt_str:
return "", "00:00"
try:
dt_str = dt_str.replace("Z", "+00:00")
dt = datetime.fromisoformat(dt_str)
return dt.strftime("%Y-%m-%d"), dt.strftime("%H:%M")
except Exception:
return dt_str[:10] if len(dt_str) >= 10 else "", "00:00"
def _fmt(v: Any) -> str | None:
if v is None:
return None
try:
f = float(v)
if f != f:
return None
return str(int(f)) if f == int(f) else str(round(f, 4))
except (TypeError, ValueError):
s = str(v).strip()
return s or None
def fetch_upcoming(weeks_ahead: int = 6) -> Dict[str, Any]:
"""
Fetch upcoming economic events from FXStreet (no API key needed).
One request returns all currencies for the full date range.
"""
from services.database import get_conn
from services.ff_calendar import _upsert_batch, FF_TO_FRED
today = date.today()
date_to = today + timedelta(weeks=weeks_ahead)
params = {
"f": "json",
"v": "2",
"from": str(today),
"to": str(date_to),
"timezone": "UTC",
"culture": "en-GB",
}
print(f"[FXS calendar] fetching {today}{date_to}", flush=True)
try:
resp = httpx.get(
_FXS_URL, params=params, headers=_HEADERS,
timeout=30, follow_redirects=True,
)
print(f"[FXS calendar] HTTP {resp.status_code}", flush=True)
if resp.status_code == 403:
return {"error": "FXStreet blocked this server IP (403). Try again later."}
if resp.status_code == 429:
return {"error": "FXStreet rate limit hit (429). Wait a few minutes."}
resp.raise_for_status()
events = resp.json()
if not isinstance(events, list):
return {"error": f"Unexpected FXStreet response: {str(events)[:200]}"}
except Exception as e:
return {"error": f"FXStreet request failed: {e}"}
batch = []
skipped = 0
for ev in events:
event_obj = ev.get("Event") or {}
ccy = (event_obj.get("CurrencyId") or "").strip()
if ccy not in _SUPPORTED_CCY:
skipped += 1
continue
event_name = (event_obj.get("Name") or "").strip()
if not event_name:
continue
dt_str = (ev.get("DateUtc") or "").strip()
ev_date, ev_time = _parse_dt(dt_str)
if not ev_date:
continue
volatility = ev.get("Volatility")
impact = _VOLATILITY.get(volatility, "low") if volatility is not None else "low"
actual = _fmt(ev.get("Actual"))
forecast = _fmt(ev.get("Consensus"))
# Use Revised previous if available, otherwise Previous
previous = _fmt(ev.get("Revised")) or _fmt(ev.get("Previous"))
series_id = FF_TO_FRED.get(event_name)
batch.append((
ev_date, ev_time, ccy, impact, event_name,
actual, forecast, previous,
series_id, None, "fxstreet",
))
conn = get_conn()
if batch:
_upsert_batch(conn, batch)
conn.commit()
conn.close()
print(f"[FXS calendar] {len(batch)} upserted, {skipped} skipped (non-major CCY)", flush=True)
return {
"total_upserted": len(batch),
"skipped": skipped,
"date_from": str(today),
"date_to": str(date_to),
}