feat(state+runtime): option_chain_snapshots — catena opzioni storica per backtest reale

Aggiunge la persistence della option chain Deribit con cron settimanale
``55 13 * * MON`` (5 minuti prima del trigger entry alle 14:00 UTC),
sbloccando il backtest non-stilizzato e la calibrazione empirica
dello skew premium.

**Schema (migrazione 0004)**

Nuova tabella ``option_chain_snapshots`` con primary key composta
``(timestamp, instrument_name)`` — tutti i quote prelevati nello
stesso tick condividono il timestamp, così le query "lo snapshot del
2026-05-04 alle 13:55" diventano una singola WHERE timestamp = X.
Indici su (asset, timestamp DESC) e (asset, expiry) per supportare
sia listing recenti sia query per scadenza specifica.

Campi: instrument_name, strike, expiry, option_type (C/P), bid, ask,
mid, iv, delta, gamma, theta, vega, open_interest, volume_24h,
book_depth_top3. Tutti i numerici sono nullable: il collector è
best-effort, un ticker mancante produce comunque una riga (utile
per sapere che lo strumento esisteva ma non era quotato).

**Modello + repository**

- ``OptionChainQuoteRecord`` (Pydantic, in ``state/models.py``).
- ``Repository.record_option_chain_snapshot`` (bulk insert
  idempotente).
- ``Repository.list_option_chain_snapshots`` (filtri su asset,
  timestamp window, expiry window, limit default 50000).
- ``Repository.latest_option_chain_timestamp`` (freshness check
  per dashboard GUI).

**Collector**

Nuovo ``runtime/option_chain_snapshot_cycle.py`` che:

1. Calcola la finestra scadenze ``[now+dte_min, now+dte_max]`` da
   ``cfg.structure``: niente richieste su scadenze che il rule
   engine non userebbe mai.
2. Chiama ``deribit.options_chain()`` con
   ``min_open_interest=cfg.liquidity.open_interest_min``.
3. Batch ``deribit.get_tickers()`` (max 20 per call, limite Deribit)
   con error-isolation per batch — un batch fallito non blocca
   gli altri.
4. NON chiama l'order book per ogni strike (rate-limit guard);
   ``book_depth_top3`` resta NULL e il liquidity gate live lo
   chiede on-the-fly per gli strike candidati al picker.

Best-effort end-to-end: chain assente, get_tickers giù, persist
fallito → ritorna 0 senza alzare eccezioni, logga sempre.

**Schedulazione**

Wired in ``Orchestrator.install_scheduler`` come job parallelo a
``market_snapshot``, attivo solo quando
``ENABLE_DATA_ANALYSIS=true``. Cron parametrizzabile via il nuovo
kwarg ``option_chain_cron`` (default ``55 13 * * MON``).

**Test**

- 4 unit test del collector (happy path, ticker mancante, chain
  vuota, fetch fail best-effort) con mock di RuntimeContext.
- Aggiornato ``test_install_scheduler_registers_canonical_jobs``
  per includere il nuovo job nel set canonico.

**Cosa sblocca**

- Backtest non-stilizzato: il PR ``feat/backtest-engine`` può
  dropparsi il modello BS+skew_premium e leggere prezzi reali
  ``mid`` dalla chain registrata.
- Calibrazione empirica dello skew premium (hardcoded a 1.5 nel
  backtest stilizzato): plot del rapporto fra quote reali Deribit
  e BS per delta/expiry, regressione → valore data-driven.
- Validazione ex-post: "il delta-0.12 era davvero a 25% OTM in
  quella settimana?" diventa una query SELECT.
- Dimensione attesa: ~50 strike × 3 scadenze × 1 snapshot/settimana
  × 17 colonne ≈ 12 KB/settimana, ~600 KB/anno. Trascurabile.

Suite: 409 passed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
2026-05-01 20:44:49 +00:00
parent 21e865ffb0
commit c0a0ee416f
7 changed files with 544 additions and 0 deletions
@@ -0,0 +1,185 @@
"""Periodic option-chain snapshot collector (§13).
Fetches the Deribit option chain for every strike entro la finestra
DTE configurata, prima del trigger entry settimanale (cron
``55 13 * * MON`` di default). Persiste un quote per ogni strumento
in ``option_chain_snapshots`` con un timestamp condiviso, che diventa
il dato di base per:
* il backtest non-stilizzato (vedi ``core/backtest.py``),
* la calibrazione empirica dello skew premium e del credit/width
ratio sui regimi reali,
* l'analisi ex-post degli strike picker.
Il collector è **best-effort**: se ``get_tickers`` fallisce per un
batch, gli altri batch passano comunque; se manca completamente la
chain, il job ritorna 0 senza alzare eccezioni e logga il problema.
Non chiama l'order book per ogni strike (sarebbe troppo costoso) —
``book_depth_top3`` resta NULL nel quote, il liquidity gate del live
lo legge al volo solo per gli strike che gli interessano.
"""
from __future__ import annotations
import asyncio
import logging
from datetime import UTC, datetime, timedelta
from decimal import Decimal
from typing import TYPE_CHECKING, Any
from cerbero_bite.state import connect, transaction
from cerbero_bite.state.models import OptionChainQuoteRecord
if TYPE_CHECKING:
from cerbero_bite.runtime.dependencies import RuntimeContext
__all__ = ["DEFAULT_BATCH_SIZE", "collect_option_chain_snapshot"]
_log = logging.getLogger("cerbero_bite.runtime.option_chain_snapshot")
DEFAULT_BATCH_SIZE = 20 # Deribit get_ticker_batch limit
def _to_decimal_or_none(value: Any) -> Decimal | None:
if value is None:
return None
try:
return Decimal(str(value))
except Exception:
return None
async def _fetch_tickers_in_batches(
ctx: RuntimeContext, names: list[str], *, batch_size: int = DEFAULT_BATCH_SIZE
) -> dict[str, dict[str, Any]]:
"""Best-effort fetch dei ticker per tutti i nomi richiesti."""
out: dict[str, dict[str, Any]] = {}
for i in range(0, len(names), batch_size):
batch = names[i : i + batch_size]
try:
tickers = await ctx.deribit.get_tickers(batch)
except Exception as exc:
_log.warning(
"get_tickers failed for batch starting %s: %s",
batch[0] if batch else "<empty>", exc,
)
continue
for t in tickers:
name = t.get("instrument_name") or t.get("instrument")
if isinstance(name, str):
out[name] = t
return out
async def collect_option_chain_snapshot(
ctx: RuntimeContext,
*,
asset: str = "ETH",
now: datetime | None = None,
batch_size: int = DEFAULT_BATCH_SIZE,
) -> int:
"""Collect + persist a single chain snapshot for ``asset``. Returns
the number of quotes persisted (0 on best-effort failure).
Filtra le scadenze nella finestra ``[dte_min, dte_max]`` di
``cfg.structure`` per non sprecare richieste su scadenze che il
rule engine non userebbe mai.
"""
when = (now or datetime.now(UTC)).astimezone(UTC)
cfg = ctx.cfg
expiry_from = when + timedelta(days=cfg.structure.dte_min)
expiry_to = when + timedelta(days=cfg.structure.dte_max)
try:
chain = await ctx.deribit.options_chain(
currency=asset.upper(),
expiry_from=expiry_from,
expiry_to=expiry_to,
min_open_interest=int(cfg.liquidity.open_interest_min),
)
except Exception:
_log.exception("option chain fetch failed")
return 0
if not chain:
_log.info("option chain empty for %s in window", asset)
return 0
names = [meta.name for meta in chain]
tickers = await _fetch_tickers_in_batches(ctx, names, batch_size=batch_size)
quotes: list[OptionChainQuoteRecord] = []
for meta in chain:
ticker = tickers.get(meta.name)
if ticker is None:
# Lasciamo comunque la riga senza quote: utile sapere
# che lo strumento esisteva.
quotes.append(
OptionChainQuoteRecord(
timestamp=when,
asset=asset.upper(),
instrument_name=meta.name,
strike=meta.strike,
expiry=meta.expiry,
option_type=meta.option_type,
open_interest=int(meta.open_interest)
if meta.open_interest is not None
else None,
)
)
continue
greeks = ticker.get("greeks") or {}
quotes.append(
OptionChainQuoteRecord(
timestamp=when,
asset=asset.upper(),
instrument_name=meta.name,
strike=meta.strike,
expiry=meta.expiry,
option_type=meta.option_type,
bid=_to_decimal_or_none(ticker.get("bid")),
ask=_to_decimal_or_none(ticker.get("ask")),
mid=_to_decimal_or_none(ticker.get("mark_price")),
iv=_to_decimal_or_none(ticker.get("mark_iv")),
delta=_to_decimal_or_none(greeks.get("delta")),
gamma=_to_decimal_or_none(greeks.get("gamma")),
theta=_to_decimal_or_none(greeks.get("theta")),
vega=_to_decimal_or_none(greeks.get("vega")),
open_interest=int(meta.open_interest)
if meta.open_interest is not None
else None,
volume_24h=(
int(ticker["volume_24h"])
if ticker.get("volume_24h") is not None
else None
),
# book_depth_top3: NULL — non lo prendiamo per ogni
# strike per non saturare l'API. Il liquidity gate
# del live lo chiede on-the-fly per gli strike
# candidati al picker.
)
)
persisted = 0
try:
conn = connect(ctx.db_path)
try:
with transaction(conn):
persisted = ctx.repository.record_option_chain_snapshot(
conn, quotes
)
finally:
conn.close()
except Exception:
_log.exception("persist option chain snapshot failed")
return 0
_log.info("option_chain_snapshot persisted %d quote(s)", persisted)
return persisted
# Avoid unused import warning for asyncio in lint when only used as type
_ = asyncio
+21
View File
@@ -34,6 +34,9 @@ from cerbero_bite.runtime.market_snapshot_cycle import (
DEFAULT_ASSETS, DEFAULT_ASSETS,
collect_market_snapshot, collect_market_snapshot,
) )
from cerbero_bite.runtime.option_chain_snapshot_cycle import (
collect_option_chain_snapshot,
)
from cerbero_bite.runtime.monitor_cycle import MonitorCycleResult, run_monitor_cycle from cerbero_bite.runtime.monitor_cycle import MonitorCycleResult, run_monitor_cycle
from cerbero_bite.runtime.recovery import recover_state from cerbero_bite.runtime.recovery import recover_state
from cerbero_bite.runtime.scheduler import JobSpec, build_scheduler from cerbero_bite.runtime.scheduler import JobSpec, build_scheduler
@@ -53,6 +56,7 @@ _CRON_HEALTH = "*/5 * * * *"
_CRON_BACKUP = "0 * * * *" _CRON_BACKUP = "0 * * * *"
_CRON_MANUAL_ACTIONS = "*/1 * * * *" _CRON_MANUAL_ACTIONS = "*/1 * * * *"
_CRON_MARKET_SNAPSHOT = "*/15 * * * *" _CRON_MARKET_SNAPSHOT = "*/15 * * * *"
_CRON_OPTION_CHAIN_SNAPSHOT = "55 13 * * MON" # 5 min prima del trigger entry
_BACKUP_RETENTION_DAYS = 30 _BACKUP_RETENTION_DAYS = 30
@@ -217,6 +221,8 @@ class Orchestrator:
manual_actions_cron: str = _CRON_MANUAL_ACTIONS, manual_actions_cron: str = _CRON_MANUAL_ACTIONS,
market_snapshot_cron: str = _CRON_MARKET_SNAPSHOT, market_snapshot_cron: str = _CRON_MARKET_SNAPSHOT,
market_snapshot_assets: tuple[str, ...] = DEFAULT_ASSETS, market_snapshot_assets: tuple[str, ...] = DEFAULT_ASSETS,
option_chain_cron: str = _CRON_OPTION_CHAIN_SNAPSHOT,
option_chain_asset: str = "ETH",
backup_dir: Path | None = None, backup_dir: Path | None = None,
backup_retention_days: int = _BACKUP_RETENTION_DAYS, backup_retention_days: int = _BACKUP_RETENTION_DAYS,
) -> AsyncIOScheduler: ) -> AsyncIOScheduler:
@@ -282,6 +288,14 @@ class Orchestrator:
await _safe("market_snapshot", _do) await _safe("market_snapshot", _do)
async def _option_chain_snapshot() -> None:
async def _do() -> None:
await collect_option_chain_snapshot(
self._ctx, asset=option_chain_asset
)
await _safe("option_chain_snapshot", _do)
jobs: list[JobSpec] = [ jobs: list[JobSpec] = [
JobSpec(name="health", cron=health_cron, coro_factory=_health), JobSpec(name="health", cron=health_cron, coro_factory=_health),
JobSpec(name="backup", cron=backup_cron, coro_factory=_backup), JobSpec(name="backup", cron=backup_cron, coro_factory=_backup),
@@ -309,6 +323,13 @@ class Orchestrator:
coro_factory=_market_snapshot, coro_factory=_market_snapshot,
) )
) )
jobs.append(
JobSpec(
name="option_chain_snapshot",
cron=option_chain_cron,
coro_factory=_option_chain_snapshot,
)
)
else: else:
_log.warning( _log.warning(
"data analysis disabled (CERBERO_BITE_ENABLE_DATA_ANALYSIS=" "data analysis disabled (CERBERO_BITE_ENABLE_DATA_ANALYSIS="
@@ -0,0 +1,42 @@
-- 0004_option_chain_snapshots.sql — catena opzioni storica
--
-- Snapshot della option chain Deribit, prelevata settimanalmente (cron
-- 55 13 * * MON, appena prima del trigger entry alle 14:00 UTC) per
-- ogni strike entro ±30% dallo spot e per ogni scadenza in finestra
-- 14-28 DTE. Dato di base per il backtest non-stilizzato e per
-- calibrare empiricamente lo skew premium del modello BS.
--
-- Granularità: una riga per (snapshot_ts, instrument). Lo
-- snapshot_ts è il timestamp del cron tick — TUTTI i quote raccolti
-- in quello stesso tick condividono il timestamp, così filtrare per
-- "lo snapshot del 2026-05-04 alle 13:55" è una semplice
-- WHERE timestamp = X.
CREATE TABLE option_chain_snapshots (
timestamp TEXT NOT NULL,
asset TEXT NOT NULL,
instrument_name TEXT NOT NULL,
strike TEXT NOT NULL,
expiry TEXT NOT NULL,
option_type TEXT NOT NULL CHECK (option_type IN ('C','P')),
bid TEXT,
ask TEXT,
mid TEXT,
iv TEXT,
delta TEXT,
gamma TEXT,
theta TEXT,
vega TEXT,
open_interest INTEGER,
volume_24h INTEGER,
book_depth_top3 INTEGER,
PRIMARY KEY (timestamp, instrument_name)
) WITHOUT ROWID;
CREATE INDEX idx_option_chain_asset_ts
ON option_chain_snapshots(asset, timestamp DESC);
CREATE INDEX idx_option_chain_expiry
ON option_chain_snapshots(asset, expiry);
PRAGMA user_version = 4;
+31
View File
@@ -22,6 +22,7 @@ __all__ = [
"InstructionRecord", "InstructionRecord",
"ManualAction", "ManualAction",
"MarketSnapshotRecord", "MarketSnapshotRecord",
"OptionChainQuoteRecord",
"PositionRecord", "PositionRecord",
"PositionStatus", "PositionStatus",
"SystemStateRecord", "SystemStateRecord",
@@ -148,6 +149,36 @@ class MarketSnapshotRecord(BaseModel):
fetch_errors_json: str | None = None fetch_errors_json: str | None = None
class OptionChainQuoteRecord(BaseModel):
"""Row of the ``option_chain_snapshots`` table.
One row per (snapshot_ts, instrument) — the same ``timestamp`` is
shared by every quote prelevato nello stesso tick del cron. Tutti
i campi numerici sono opzionali perché il collector è
best-effort: un ticker mancante non invalida il resto della chain.
"""
model_config = ConfigDict(extra="forbid")
timestamp: datetime
asset: str
instrument_name: str
strike: Decimal
expiry: datetime
option_type: Literal["C", "P"]
bid: Decimal | None = None
ask: Decimal | None = None
mid: Decimal | None = None
iv: Decimal | None = None
delta: Decimal | None = None
gamma: Decimal | None = None
theta: Decimal | None = None
vega: Decimal | None = None
open_interest: int | None = None
volume_24h: int | None = None
book_depth_top3: int | None = None
class ManualAction(BaseModel): class ManualAction(BaseModel):
"""Row of the ``manual_actions`` table.""" """Row of the ``manual_actions`` table."""
+130
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@@ -24,6 +24,7 @@ from cerbero_bite.state.models import (
InstructionRecord, InstructionRecord,
ManualAction, ManualAction,
MarketSnapshotRecord, MarketSnapshotRecord,
OptionChainQuoteRecord,
PositionRecord, PositionRecord,
PositionStatus, PositionStatus,
SystemStateRecord, SystemStateRecord,
@@ -407,6 +408,103 @@ class Repository:
).fetchall() ).fetchall()
return [_row_to_market_snapshot(r) for r in rows] return [_row_to_market_snapshot(r) for r in rows]
# ------------------------------------------------------------------
# option_chain_snapshots
# ------------------------------------------------------------------
def record_option_chain_snapshot(
self,
conn: sqlite3.Connection,
quotes: list[OptionChainQuoteRecord],
) -> int:
"""Bulk-insert dei quote di un singolo tick. Tutti i quote
condividono lo stesso ``timestamp``. Idempotente per
(timestamp, instrument_name)."""
if not quotes:
return 0
rows = [
(
_enc_dt(q.timestamp),
q.asset,
q.instrument_name,
_enc_dec(q.strike),
_enc_dt(q.expiry),
q.option_type,
_enc_dec(q.bid),
_enc_dec(q.ask),
_enc_dec(q.mid),
_enc_dec(q.iv),
_enc_dec(q.delta),
_enc_dec(q.gamma),
_enc_dec(q.theta),
_enc_dec(q.vega),
q.open_interest,
q.volume_24h,
q.book_depth_top3,
)
for q in quotes
]
conn.executemany(
"INSERT OR REPLACE INTO option_chain_snapshots("
"timestamp, asset, instrument_name, strike, expiry, option_type, "
"bid, ask, mid, iv, delta, gamma, theta, vega, "
"open_interest, volume_24h, book_depth_top3) "
"VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
rows,
)
return len(rows)
def list_option_chain_snapshots(
self,
conn: sqlite3.Connection,
*,
asset: str,
start: datetime | None = None,
end: datetime | None = None,
expiry_from: datetime | None = None,
expiry_to: datetime | None = None,
limit: int = 50000,
) -> list[OptionChainQuoteRecord]:
clauses: list[str] = ["asset = ?"]
params: list[Any] = [asset]
if start is not None:
clauses.append("timestamp >= ?")
params.append(_enc_dt(start))
if end is not None:
clauses.append("timestamp <= ?")
params.append(_enc_dt(end))
if expiry_from is not None:
clauses.append("expiry >= ?")
params.append(_enc_dt(expiry_from))
if expiry_to is not None:
clauses.append("expiry <= ?")
params.append(_enc_dt(expiry_to))
params.append(int(limit))
rows = conn.execute(
f"SELECT * FROM option_chain_snapshots "
f"WHERE {' AND '.join(clauses)} "
f"ORDER BY timestamp DESC, instrument_name ASC LIMIT ?",
params,
).fetchall()
return [_row_to_option_chain_quote(r) for r in rows]
def latest_option_chain_timestamp(
self,
conn: sqlite3.Connection,
*,
asset: str,
) -> datetime | None:
"""Timestamp dell'ultimo snapshot raccolto per ``asset``,
utile per stimare la freschezza del dato dalla GUI."""
row = conn.execute(
"SELECT timestamp FROM option_chain_snapshots "
"WHERE asset = ? ORDER BY timestamp DESC LIMIT 1",
(asset,),
).fetchone()
if row is None:
return None
return _dec_dt(row["timestamp"])
# ------------------------------------------------------------------ # ------------------------------------------------------------------
# manual_actions # manual_actions
# ------------------------------------------------------------------ # ------------------------------------------------------------------
@@ -645,6 +743,38 @@ def _row_to_market_snapshot(row: sqlite3.Row) -> MarketSnapshotRecord:
) )
def _row_to_option_chain_quote(row: sqlite3.Row) -> OptionChainQuoteRecord:
return OptionChainQuoteRecord(
timestamp=_dec_dt_required(row["timestamp"]),
asset=row["asset"],
instrument_name=row["instrument_name"],
strike=_dec_dec_required(row["strike"]),
expiry=_dec_dt_required(row["expiry"]),
option_type=row["option_type"],
bid=_dec_dec(row["bid"]),
ask=_dec_dec(row["ask"]),
mid=_dec_dec(row["mid"]),
iv=_dec_dec(row["iv"]),
delta=_dec_dec(row["delta"]),
gamma=_dec_dec(row["gamma"]),
theta=_dec_dec(row["theta"]),
vega=_dec_dec(row["vega"]),
open_interest=(
int(row["open_interest"])
if row["open_interest"] is not None
else None
),
volume_24h=(
int(row["volume_24h"]) if row["volume_24h"] is not None else None
),
book_depth_top3=(
int(row["book_depth_top3"])
if row["book_depth_top3"] is not None
else None
),
)
def _dec_dec_required(value: Any) -> Decimal: def _dec_dec_required(value: Any) -> Decimal:
out = _dec_dec(value) out = _dec_dec(value)
if out is None: if out is None:
+1
View File
@@ -129,6 +129,7 @@ def test_install_scheduler_registers_canonical_jobs(tmp_path: Path) -> None:
"backup", "backup",
"manual_actions", "manual_actions",
"market_snapshot", "market_snapshot",
"option_chain_snapshot",
} }
@@ -0,0 +1,134 @@
"""TDD per :mod:`cerbero_bite.runtime.option_chain_snapshot_cycle`."""
from __future__ import annotations
from datetime import UTC, datetime
from decimal import Decimal
from unittest.mock import AsyncMock, MagicMock
import pytest
from cerbero_bite.clients.deribit import InstrumentMeta
from cerbero_bite.runtime.option_chain_snapshot_cycle import (
collect_option_chain_snapshot,
)
from cerbero_bite.state.models import OptionChainQuoteRecord
_NOW = datetime(2026, 5, 4, 13, 55, tzinfo=UTC)
def _meta(name: str, strike: int, expiry_dte: int = 18) -> InstrumentMeta:
expiry = _NOW.replace(hour=8, minute=0, second=0)
expiry = expiry.replace(day=expiry.day) + (
# add days
__import__("datetime").timedelta(days=expiry_dte)
)
return InstrumentMeta(
name=name,
strike=Decimal(str(strike)),
expiry=expiry,
option_type="P",
open_interest=Decimal("100"),
tick_size=Decimal("0.0005"),
min_trade_amount=Decimal("1"),
)
def _ticker(name: str, *, mark: float = 0.020, bid: float = 0.018,
ask: float = 0.022, delta: float = -0.12) -> dict:
return {
"instrument_name": name,
"bid": bid,
"ask": ask,
"mark_price": mark,
"mark_iv": 60.0,
"volume_24h": 50,
"greeks": {
"delta": delta,
"gamma": 0.001,
"theta": -0.0005,
"vega": 0.10,
},
}
@pytest.fixture
def cfg() -> object:
from cerbero_bite.config import golden_config
return golden_config()
@pytest.fixture
def fake_ctx(cfg: object) -> MagicMock:
"""Mock minimal RuntimeContext."""
ctx = MagicMock()
ctx.cfg = cfg
ctx.db_path = ":memory:"
return ctx
@pytest.mark.asyncio
async def test_collector_persists_one_quote_per_instrument(
fake_ctx: MagicMock,
) -> None:
metas = [_meta("ETH-21MAY26-2475-P", 2475), _meta("ETH-21MAY26-2400-P", 2400)]
fake_ctx.deribit.options_chain = AsyncMock(return_value=metas)
fake_ctx.deribit.get_tickers = AsyncMock(
return_value=[_ticker(m.name) for m in metas]
)
persisted: list[list[OptionChainQuoteRecord]] = []
def _record(_conn: object, qs: list[OptionChainQuoteRecord]) -> int:
persisted.append(qs)
return len(qs)
fake_ctx.repository.record_option_chain_snapshot = _record
n = await collect_option_chain_snapshot(fake_ctx, asset="ETH", now=_NOW)
assert n == 2
assert len(persisted) == 1
assert {q.instrument_name for q in persisted[0]} == {
"ETH-21MAY26-2475-P", "ETH-21MAY26-2400-P",
}
# Tutti i quote condividono il timestamp del cron tick.
assert all(q.timestamp == _NOW for q in persisted[0])
@pytest.mark.asyncio
async def test_collector_handles_missing_tickers_with_null_fields(
fake_ctx: MagicMock,
) -> None:
metas = [_meta("ETH-21MAY26-2475-P", 2475)]
fake_ctx.deribit.options_chain = AsyncMock(return_value=metas)
fake_ctx.deribit.get_tickers = AsyncMock(return_value=[]) # vuoto
persisted: list[list[OptionChainQuoteRecord]] = []
def _record(_conn: object, qs: list[OptionChainQuoteRecord]) -> int:
persisted.append(qs)
return len(qs)
fake_ctx.repository.record_option_chain_snapshot = _record
n = await collect_option_chain_snapshot(fake_ctx, now=_NOW)
assert n == 1
assert persisted[0][0].mid is None # ticker mancante ⇒ campi NULL
assert persisted[0][0].instrument_name == "ETH-21MAY26-2475-P"
@pytest.mark.asyncio
async def test_collector_returns_zero_when_chain_empty(
fake_ctx: MagicMock,
) -> None:
fake_ctx.deribit.options_chain = AsyncMock(return_value=[])
n = await collect_option_chain_snapshot(fake_ctx, now=_NOW)
assert n == 0
@pytest.mark.asyncio
async def test_collector_swallows_chain_fetch_failure(
fake_ctx: MagicMock,
) -> None:
fake_ctx.deribit.options_chain = AsyncMock(side_effect=RuntimeError("boom"))
n = await collect_option_chain_snapshot(fake_ctx, now=_NOW)
assert n == 0 # best-effort: non rilancia