Tiingo WebSocket streaming: re-enable the level-breach monitor

The monitor has been dead since the Oanda feed switch (Oanda's provider
does not stream). New config.json scalar data_providers.streaming selects
a tick-stream provider independent of the candle feed; telegram_bot
resolves it via _get_streaming_dp() (separate instance, candle cache
stays on the active provider) and falls back to the active provider when
unset — behavior is byte-identical to before when the key is absent.

TiingoDataProvider grows the two sanctioned streaming overrides:
supports_streaming=True and iter_ticks() on wss://api.tiingo.com/fx
(mid price only — the no-spread rule extends to the stream). Two
deliberate divergences from the TD reference implementation, both
because Tiingo authenticates inside the socket: server "E" messages
raise TiingoDataError (a swallowed auth error would end the generator
cleanly and reconnect-hammer with zero backoff), and on_connect fires on
the first received message rather than after the subscribe send. Field
order of quote frames was live-verified: ask is data[7], not data[6] as
the docs table suggests (data[6] is askSize).

make_data_provider(config, name=None) now takes an explicit provider
name; keyless streaming providers disable the monitor with one warning
instead of a traceback-per-minute loop.

Tests 266 → 273 (WS parser, ticker round-trip, streaming config scalar,
explicit-name dispatch, streaming-dp resolution, monitor auto-disable).

Claude-Session: https://claude.ai/code/session_01Nsd8HcrV67GbCZXxZEn1Ma
This commit is contained in:
Harwinder Sekhon
2026-08-03 13:11:36 -04:00
parent bcda6e0ebd
commit f7d8f1113c
7 changed files with 308 additions and 19 deletions
+4 -4
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@@ -11,7 +11,7 @@ Every numeric threshold in `config.py` and `pair_signals/xauusd.py` was backtest
## Commands
```bash
python test_all.py # QA suite: 266 tests, 18 modules, no network (mocked)
python test_all.py # QA suite: 273 tests, 18 modules, no network (mocked)
python main.py --pair XAUUSD --timeframe H1 --detail # CLI signal report (--json for full dump)
python telegram_bot.py # the bot (refuses to boot without credentials)
python oanda_daemon.py # auto-execution daemon on Oanda practice account
@@ -30,7 +30,7 @@ Python 3.12; a `venv/` exists in-repo. Dependencies in `requirements.txt` (numpy
## Configuration & credentials
Precedence for every credential/deployment setting: **env var → config.json → refuse to run** (no hardcoded fallbacks). A gitignored repo-root `.env` is loaded at `app_config` import via `os.environ.setdefault`. `config.json` (gitignored; schema in `config.json.example`) holds secrets plus deployment settings: `data_providers.active` (the live-feed switch), `scanning.pairs`/`timeframes`, per-pair `blocked_hours_utc`, `log_level`. Key env vars: `TELEGRAM_TOKEN`, `TELEGRAM_CHAT_ID`, `TELEGRAM_CHANNEL_ID`, `TWELVE_DATA_API_KEY`, `TIINGO_API_KEY`, `OANDA_ACCOUNT_ID`/`OANDA_API_TOKEN`/`OANDA_BASE_URL`.
Precedence for every credential/deployment setting: **env var → config.json → refuse to run** (no hardcoded fallbacks). A gitignored repo-root `.env` is loaded at `app_config` import via `os.environ.setdefault`. `config.json` (gitignored; schema in `config.json.example`) holds secrets plus deployment settings: `data_providers.active` (the live-feed switch), `data_providers.streaming` (optional tick-stream provider for the level-breach monitor), `scanning.pairs`/`timeframes`, per-pair `blocked_hours_utc`, `log_level`. Key env vars: `TELEGRAM_TOKEN`, `TELEGRAM_CHAT_ID`, `TELEGRAM_CHANNEL_ID`, `TWELVE_DATA_API_KEY`, `TIINGO_API_KEY`, `OANDA_ACCOUNT_ID`/`OANDA_API_TOKEN`/`OANDA_BASE_URL`.
## Architecture
@@ -49,12 +49,12 @@ Signal currency everywhere is `SignalStrength` (−2..+2). DataFrames are UTC tz
### Layers
- **`providers/`** — one class per provider subclassing `BaseDataProvider` (`providers/base.py`), which owns everything the pipeline depends on: TTL+boundary cache, forming-candle drop, freshness check, validate/clean, paginated `fetch_range` (feeds the backtester from any provider), optional tick streaming. Subclasses implement only `_fetch_raw` + symbol/interval maps. Registry + `make_data_provider` in `providers/__init__.py`; config.json `data_providers.active` selects the live feed. A test enforces that subclasses don't override shared base methods. Tiingo is candles-only — do not re-add spread display from its free FX feed (two-tier indicative quotes, removed 2026-07-23).
- **`providers/`** — one class per provider subclassing `BaseDataProvider` (`providers/base.py`), which owns everything the pipeline depends on: TTL+boundary cache, forming-candle drop, freshness check, validate/clean, paginated `fetch_range` (feeds the backtester from any provider), optional tick streaming. Subclasses implement only `_fetch_raw` + symbol/interval maps. Registry + `make_data_provider(config, name=None)` in `providers/__init__.py`; config.json `data_providers.active` selects the live candle feed and the optional `data_providers.streaming` scalar selects a different provider for the tick stream. A test enforces that subclasses don't override shared base methods (`supports_streaming`/`iter_ticks` are the sanctioned streaming override points). Tiingo streams mid-price ticks (`wss://api.tiingo.com/fx`) — do not re-add spread display from its free FX feed (two-tier indicative quotes, removed 2026-07-23); the no-spread rule extends to the WS stream.
- **`engine.py`** — `TechnicalEngine`: 9 scored indicators (ema_trend, rsi, macd, bollinger, adx, roc, keltner, divergence, candlestick) + ATR as context. Regime classification (trending_up/down, `trending` = mixed/direction-UNKNOWN, transitioning, ranging) drives per-indicator weight multipliers and regime-aware RSI reinterpretation. Compute order matters (ATR first; MACD always computed even when not a pillar — divergence needs the histogram). Private series ride on the result as `_underscore` attrs; scorers/formatters skip anything `_`-prefixed or weight-0.
- **`signal_aggregator.py`** — MTF agreement, diminishing-decay penalty system, exhaustion hard block, quality grading, then an ordered chain of post-grade gates (session, XAU SELL quality/vol/hour, regime blocks, M5 noise gates), then three setup generators: XAU ATR (A+/A), generic swing-based, plus the M5 pullback (`XAU_PB`) and chart-pattern (`XAU_CP`, `chart_patterns.py`) entry paths. `TradeSetup.strategy` selects trailing params; trail params are stamped on the setup from the *producing* config so per-TF overrides reach formatters.
- **`pair_signals/`** — per-pair config factories. **Always use the factory (`produce_signal` / `make_config`), never bare `PlatformConfig()`** — the factory applies the config.json overlay first, then the validated per-TF deltas (M5 hour-9 block, M15 trail arm 0.70, M15 SELL-hour block, etc.; evidence in the docstring). A test enforces factory ≡ inline-config equivalence. Confirmation map: M5→[M15,H1], M15→[M5,H1], H1→[M15,H4], H4→[H1,D1].
- **`news_engine.py`** — Forex Factory calendar (MyFXBook RSS fallback) + RSS keyword sentiment with gold-inverse keywords. Class-level caches (fresh engine per scan). By XAU-tuned default, event risk and sentiment **warn but do not gate signals** (`event_risk_caps_signals=False`, `sentiment_affects_signals=False`).
- **`telegram_bot.py`** — owner-locked bot + subscriber channel; candle-boundary auto-scan loops (M5/M15/H1/H4, boundary+10 s), alert quality threshold + fingerprint dedup (committed only after a successful send), WebSocket level-breach monitor (auto-disabled when the active provider has `supports_streaming=False` — Oanda does not stream). Rotating log: `logs/telegram.log`, 3-h rotation × 240 backups.
- **`telegram_bot.py`** — owner-locked bot + subscriber channel; candle-boundary auto-scan loops (M5/M15/H1/H4, boundary+10 s), alert quality threshold + fingerprint dedup (committed only after a successful send), WebSocket level-breach monitor fed by the streaming provider (`data_providers.streaming`, falling back to the active provider; auto-disabled when the resolved provider can't stream or has no API key — Oanda does not stream, Tiingo does). Rotating log: `logs/telegram.log`, 3-h rotation × 240 backups.
- **`oanda_daemon.py` / `oanda_executor.py`** — practice-account auto-execution. Book-parity rules (see daemon docstring): no broker-side TP (trailing model — TP1/TP2 advisory), 5-bar per-TF cooldown, trail ratchets at bar close exactly once per bar. Accepted divergence: one position total.
- **`backtest/gpu_backtest.py`** — bar-by-bar replay through the real `analyze_from_dataframes` (news off). Realism model (do not regress): next-bar-open entries re-anchored to the raw price path, round-trip `--spread` charged per trade, trade resolution on RAW bars (cleaning applies only to signal-side data), same-bar SL+TP tie → SL first, gap fills at bar open, trail ratchet at bar close only. Indicators are precomputed once per TF (CuPy GPU or NumPy fallback — check the `Backend:` log line); replay fans out over worker processes and the 5-bar cooldown is applied in an ordered pass afterwards, so parallel and sequential books are identical. Parquet cache in `backtest/cache/` keyed by provider/symbol/TF/window. `backtest/*.csv` are gitignored pinned trade books from past campaigns — used for manual before/after comparison. `backtest/instructions_for_backtest.txt` lists what every backtest report must record.
+14 -1
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@@ -106,6 +106,7 @@ class AppConfig:
telegram_channel_id: str = "" # "" = channel feed disabled
alert_min_quality: str = "C"
active_provider: str = "twelve_data"
streaming_provider: Optional[str] = None # None = active provider
provider_settings: Dict[str, Dict[str, Any]] = field(default_factory=dict)
scan_pairs: List[str] = field(default_factory=lambda: [XAUUSD])
scan_timeframes: List[Timeframe] = field(default_factory=lambda: [
@@ -162,7 +163,8 @@ def load_app_config(path: str = CONFIG_PATH) -> AppConfig:
app.active_provider = str(dp.get("active", app.active_provider))
app.provider_settings = {}
for name, block in dp.items():
if name == "active":
# "active" and "streaming" are reserved scalars, not blocks.
if name in ("active", "streaming"):
continue
if not isinstance(block, dict):
raise AppConfigError(
@@ -172,6 +174,17 @@ def load_app_config(path: str = CONFIG_PATH) -> AppConfig:
raise AppConfigError(
f'config.json: data_providers.active "{app.active_provider}" '
"has no matching provider block")
streaming = dp.get("streaming")
if streaming is not None:
if not isinstance(streaming, str):
raise AppConfigError(
'config.json: data_providers.streaming must be a string '
"(a provider name)")
if streaming not in app.provider_settings:
raise AppConfigError(
f'config.json: data_providers.streaming "{streaming}" '
"has no matching provider block")
app.streaming_provider = streaming
scanning = raw.get("scanning", {})
_check_keys(scanning, _KNOWN_SCANNING, '"scanning"')
+1
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@@ -7,6 +7,7 @@
},
"data_providers": {
"active": "oanda",
"streaming": "tiingo",
"twelve_data": {
"api_key": "REPLACE_WITH_YOUR_TWELVE_DATA_API_KEY"
},
+9 -6
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@@ -6,12 +6,13 @@ caching, validation, boundary guarantees, and range pagination — the
behavior the signal pipeline depends on).
Adding a provider = one module implementing `_fetch_raw` + one registry
entry + one config.json `data_providers` block. The live feed is selected
by config.json `data_providers.active`; registration alone changes
nothing.
entry + one config.json `data_providers` block. The live candle feed is
selected by config.json `data_providers.active`; the optional
`data_providers.streaming` scalar selects a different provider for the
tick stream (level-breach monitor). Registration alone changes nothing.
"""
from typing import Dict
from typing import Dict, Optional
from app_config import AppConfigError, get_app_config
from config import PlatformConfig
@@ -29,8 +30,10 @@ PROVIDER_REGISTRY: Dict[str, type] = {
}
def make_data_provider(config: PlatformConfig) -> BaseDataProvider:
"""Build the ACTIVE data provider (config.json: data_providers.active)."""
def make_data_provider(config: PlatformConfig,
name: Optional[str] = None) -> BaseDataProvider:
"""Build a provider by name (default: config.json data_providers.active)."""
if name is None:
name = get_app_config().active_provider
cls = PROVIDER_REGISTRY.get(name)
if cls is None:
+109 -3
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@@ -10,15 +10,18 @@ Tiingo's JSON into the normalized frame.
Every failure mode raises `TiingoDataError` (a `DataIntegrityError`)
with a specific message — the scan loops log it and carry on; nothing
fails silently. NOTE: this is the CANDLE feed only. Tiingo's free
fails silently. NOTE: candles and mid-price ticks only. Tiingo's free
`/tiingo/fx/top` quote endpoint publishes indicative two-tier spreads
and must not be used for spread display (removed 2026-07-23) —
`get_spread` deliberately stays on the base-class default.
`get_spread` deliberately stays on the base-class default, and the
WebSocket stream (`iter_ticks`) exposes the mid price only, never
bid/ask or a derived spread.
"""
import json
import logging
from datetime import datetime
from typing import Optional
from typing import AsyncIterator, Callable, Optional, Sequence, Tuple
import pandas as pd
import requests
@@ -198,3 +201,106 @@ class TiingoDataProvider(BaseDataProvider):
"Fetched %d bars for %s @ %s from Tiingo",
len(df), ticker, resample)
return df
# ── Streaming quotes ───────────────────────────────────────────
supports_streaming = True
WS_URL = "wss://api.tiingo.com/fx"
@staticmethod
def _parse_ws_message(raw: str) -> Optional[Tuple[str, float]]:
"""Parse one WS message; return (tiingo_ticker, mid_price) for
quote updates, None for heartbeats ("H"), subscription acks
("I"), malformed JSON, or quotes without a usable price.
Server error messages ("E", e.g. bad token) RAISE TiingoDataError:
Tiingo authenticates inside the socket via the subscribe message,
so an auth failure arrives as a data message followed by a clean
close — swallowing it would make the caller's reconnect loop
hammer the endpoint with no backoff (backoff only grows on
exceptions).
"""
try:
msg = json.loads(raw)
except json.JSONDecodeError:
logger.warning("Tiingo WS: malformed JSON, skipping")
return None
mtype = msg.get("messageType")
if mtype == "H":
return None
if mtype == "I":
logger.info("Tiingo WS: subscription acknowledged")
return None
if mtype == "E":
raise TiingoDataError(
f"Tiingo WS server error: {str(msg.get('response'))[:200]}")
if mtype != "A":
return None
data = msg.get("data")
if not isinstance(data, list) or len(data) < 8 or data[0] != "Q":
return None
# Live-verified field order (2026-08-03): ["Q", ticker, timestamp,
# bidSize, bid, mid, askSize, ask] — ask is index 7, NOT 6 as the
# docs' table suggests (index 6 is askSize).
ticker = data[1]
bid, mid, ask = data[4], data[5], data[7]
if mid is None and bid is not None and ask is not None:
mid = (bid + ask) / 2
try:
return ticker, float(mid)
except (TypeError, ValueError):
logger.warning("Tiingo WS: quote for %s has no usable price",
ticker)
return None
async def iter_ticks(
self,
symbols: Sequence[str],
on_connect: Optional[Callable[[], None]] = None,
) -> AsyncIterator[Tuple[str, float]]:
"""One connection's lifetime of (canonical_symbol, mid) ticks.
The caller owns the reconnect/backoff loop around this generator.
Divergences from the Twelve Data reference implementation, both
deliberate: `on_connect` fires on the FIRST RECEIVED message (the
"I" ack in practice) rather than after the subscribe send, so a
rejected token cannot reset the caller's backoff; and there is no
client heartbeat task — Tiingo sends "H" frames itself and the
websockets library's built-in ping keepalive detects dead sockets.
"""
import websockets
if self._api_key is None:
raise TiingoDataError(
"No Tiingo API key. Set the TIINGO_API_KEY env var or "
"data_providers.tiingo.api_key in config.json.")
ws_to_pair = {self._to_tiingo_ticker(s): s for s in symbols}
async with websockets.connect(self.WS_URL) as ws:
await ws.send(json.dumps({
"eventName": "subscribe",
"authorization": self._api_key,
"eventData": {
"thresholdLevel": 5,
"tickers": sorted(ws_to_pair),
},
}))
logger.info(
"Tiingo WS connected, subscribing to %d tickers",
len(ws_to_pair))
connected = False
async for raw in ws:
parsed = self._parse_ws_message(raw)
if not connected:
connected = True
if on_connect is not None:
on_connect()
if parsed is None:
continue
pair_symbol = ws_to_pair.get(parsed[0])
if pair_symbol is None:
continue
yield pair_symbol, parsed[1]
+34 -3
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@@ -12,7 +12,9 @@ Auto-scan: Starts automatically on boot if TELEGRAM_CHAT_ID is set.
M15 fires at :00/:15/:30/:45 + 10s buffer.
H1 fires at :00 + 10s buffer.
H4 fires at :00 every 4 hours + 10s buffer.
WebSocket: Streams live ticks from TwelveData for XAU/USD.
WebSocket: Streams live ticks from the streaming provider — config.json
`data_providers.streaming` when set (e.g. tiingo), else the
active provider if it streams; auto-disabled otherwise.
When price crosses a key structure level (swing S/R, BB,
EMA200) cached from the last boundary scan, triggers an
immediate M15 scan and sends a Level Break Alert.
@@ -203,6 +205,27 @@ def _get_shared_dp() -> BaseDataProvider:
return _shared_dp
_streaming_dp: Optional[BaseDataProvider] = None
def _get_streaming_dp() -> BaseDataProvider:
"""Provider for the tick stream: config.json data_providers.streaming
when set (a SEPARATE instance — the candle cache stays on the active
provider), else the shared active provider. Reads app config at call
time, not the import-time _APP snapshot, so tests can swap it via
set_app_config()."""
global _streaming_dp
if _streaming_dp is None:
app = get_app_config()
if app.streaming_provider is None or \
app.streaming_provider == app.active_provider:
_streaming_dp = _get_shared_dp()
else:
_streaming_dp = make_data_provider(
PlatformConfig(), app.streaming_provider)
return _streaming_dp
# ── Signal formatting ─────────────────────────────────────────────────
_SIGNAL_EMOJI = {
@@ -755,12 +778,19 @@ async def _ws_monitor(bot) -> None:
"""Level-breach tick monitor. The provider owns the connection and
protocol (`iter_ticks`); this loop owns reconnect/backoff and breach
dispatch. Providers without streaming quotes simply disable it."""
dp = _get_shared_dp()
dp = _get_streaming_dp()
if not dp.supports_streaming:
logger.info(
"Data provider %r has no streaming quotes — "
"level-breach monitor disabled", dp.name)
return
if getattr(dp, "_api_key", "unused") is None:
# Guard, not a traceback loop: without a key every connect
# attempt would raise and re-log a full traceback every ≤60s.
logger.warning(
"Streaming provider %r has no API key — "
"level-breach monitor disabled", dp.name)
return
backoff = 1
while _feed_active():
@@ -951,7 +981,8 @@ def _status_text() -> str:
lines.append(f"📢 Channel feed: *on* (`{CHANNEL_ID}`)")
if _ws_task and not _ws_task.done():
lines.append("📡 WebSocket: *connected*")
provider = _streaming_dp.name if _streaming_dp else "?"
lines.append(f"📡 WebSocket: *connected* ({provider})")
else:
lines.append("❌ WebSocket: *disconnected*")
+136 -1
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@@ -3001,6 +3001,49 @@ def _():
set_app_config(_TEST_APP)
@test("providers: make_data_provider explicit name overrides active")
def _():
from providers import (TiingoDataProvider as _Tii,
TwelveDataProvider, make_data_provider)
# active is twelve_data under _TEST_APP; explicit name wins
with patch.dict(os.environ, {"TIINGO_API_KEY": "k"}):
assert isinstance(make_data_provider(PlatformConfig(), "tiingo"), _Tii)
assert isinstance(make_data_provider(PlatformConfig()), TwelveDataProvider)
try:
make_data_provider(PlatformConfig(), "polygon")
assert False, "unregistered explicit name must raise"
except AppConfigError as e:
assert "polygon" in str(e)
@test("app_config: data_providers.streaming scalar selects the tick stream")
def _():
app = load_app_config(_write_json({
"data_providers": {"active": "oanda", "streaming": "tiingo",
"oanda": {}, "tiingo": {"api_key": "k"}}}))
assert app.streaming_provider == "tiingo"
assert set(app.provider_settings) == {"oanda", "tiingo"}, \
"reserved scalars must not become provider blocks"
app = load_app_config(_write_json(
{"data_providers": {"active": "oanda", "oanda": {}}}))
assert app.streaming_provider is None
@test("app_config: streaming provider must be a string with a settings block")
def _():
for payload in (
{"data_providers": {"active": "oanda", "oanda": {},
"streaming": "polygon"}}, # no block
{"data_providers": {"active": "oanda", "oanda": {},
"streaming": 5}}, # not a string
):
try:
load_app_config(_write_json(payload))
assert False, f"should have raised for {payload}"
except AppConfigError:
pass
@test("config.py: hardcoded twelve_data_api_key field is gone")
def _():
assert not hasattr(PlatformConfig(), "twelve_data_api_key"), \
@@ -3126,6 +3169,55 @@ def _():
tb._autoscan_chats.clear()
@test("telegram_bot: _get_streaming_dp resolves streaming name, else shared")
def _():
import telegram_bot as tb
from providers import TiingoDataProvider as _Tii
set_app_config(AppConfig(
active_provider="twelve_data",
streaming_provider="tiingo",
provider_settings={"twelve_data": {"api_key": "k"},
"tiingo": {"api_key": "k"}}))
tb._streaming_dp = None
tb._shared_dp = None
try:
dp = tb._get_streaming_dp()
assert isinstance(dp, _Tii)
assert dp is not tb._get_shared_dp(), \
"streaming provider must be a separate instance"
# unset → falls back to the shared active provider
set_app_config(_TEST_APP)
tb._streaming_dp = None
tb._shared_dp = None
assert tb._get_streaming_dp() is tb._get_shared_dp()
finally:
set_app_config(_TEST_APP)
tb._streaming_dp = None
tb._shared_dp = None
@test("telegram_bot: ws monitor auto-disables on non-streaming or keyless")
def _():
import asyncio
import telegram_bot as tb
class NoStream:
name = "stub"
supports_streaming = False
class KeylessStream:
name = "stub"
supports_streaming = True
_api_key = None
try:
for stub in (NoStream(), KeylessStream()):
tb._streaming_dp = stub
asyncio.run(tb._ws_monitor(None)) # must return, not connect
finally:
tb._streaming_dp = None
# ══════════════════════════════════════════════════════════════════════
# MODULE 15: Oanda provider / executor / daemon
# ══════════════════════════════════════════════════════════════════════
@@ -4062,7 +4154,7 @@ def _():
def _():
assert TwelveDataProvider.supports_streaming is True
assert _POanda.supports_streaming is False
assert TiingoDataProvider.supports_streaming is False
assert TiingoDataProvider.supports_streaming is True
class Minimal(BaseDataProvider):
name = "minimal"
@@ -4092,6 +4184,49 @@ def _():
assert parse('{"event":"price","symbol":"XAU/USD","price":"abc"}') is None
@test("providers: Tiingo WS quote-message parsing")
def _():
parse = TiingoDataProvider._parse_ws_message
# Field order matches a live-captured frame (2026-08-03):
# ["Q", ticker, ts, bidSize, bid, mid, askSize, ask]
quote = ('{"service":"fx","messageType":"A","data":'
'["Q","xauusd","2026-08-03T17:09:46.084000+00:00",'
'1000000.0,4035.05,4035.1,1000000.0,4035.15]}')
assert parse(quote) == ("xauusd", 4035.1)
# mid null → (bid+ask)/2, ask read from index 7 (index 6 is askSize)
mid_null = ('{"messageType":"A","service":"fx","data":'
'["Q","xauusd","2026-08-03T10:00:00+00:00",'
'1000000,3344.0,null,1000000,3346.0]}')
assert parse(mid_null) == ("xauusd", 3345.0)
# mid and bid null → unusable, skipped
all_null = ('{"messageType":"A","service":"fx","data":'
'["Q","xauusd","2026-08-03T10:00:00+00:00",'
'1000000,null,null,1000000,3346.0]}')
assert parse(all_null) is None
assert parse('{"messageType":"H"}') is None # heartbeat
assert parse('{"messageType":"I","response":{"code":200}}') is None
assert parse('not json{{') is None
assert parse('{"messageType":"A","data":["X","xauusd"]}') is None
# server error (e.g. bad token) must RAISE so the caller's backoff
# applies — Tiingo auths inside the socket, not at the HTTP upgrade
try:
parse('{"messageType":"E","response":'
'{"code":401,"message":"bad token"}}')
assert False, "server error message must raise"
except TiingoDataError:
pass
@test("providers: Tiingo WS ticker mapping round-trips the scanned pairs")
def _():
tp = TiingoDataProvider.__new__(TiingoDataProvider)
for pair in PAIR_INFO:
ticker = tp._to_tiingo_ticker(pair)
assert ticker.islower() and "/" not in ticker
inverse = {tp._to_tiingo_ticker(s): s for s in PAIR_INFO}
assert inverse[ticker] == pair
@test("providers: Oanda date-window fetch omits count and sends from/to")
def _():
captured = {}