Merge feat/option-chain-snapshots
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@@ -24,6 +24,7 @@ from cerbero_bite.state.models import (
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InstructionRecord,
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ManualAction,
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MarketSnapshotRecord,
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OptionChainQuoteRecord,
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PositionRecord,
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PositionStatus,
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SystemStateRecord,
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@@ -407,6 +408,103 @@ class Repository:
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).fetchall()
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return [_row_to_market_snapshot(r) for r in rows]
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# ------------------------------------------------------------------
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# option_chain_snapshots
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# ------------------------------------------------------------------
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def record_option_chain_snapshot(
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self,
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conn: sqlite3.Connection,
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quotes: list[OptionChainQuoteRecord],
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) -> int:
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"""Bulk-insert dei quote di un singolo tick. Tutti i quote
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condividono lo stesso ``timestamp``. Idempotente per
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(timestamp, instrument_name)."""
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if not quotes:
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return 0
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rows = [
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(
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_enc_dt(q.timestamp),
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q.asset,
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q.instrument_name,
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_enc_dec(q.strike),
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_enc_dt(q.expiry),
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q.option_type,
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_enc_dec(q.bid),
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_enc_dec(q.ask),
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_enc_dec(q.mid),
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_enc_dec(q.iv),
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_enc_dec(q.delta),
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_enc_dec(q.gamma),
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_enc_dec(q.theta),
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_enc_dec(q.vega),
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q.open_interest,
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q.volume_24h,
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q.book_depth_top3,
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)
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for q in quotes
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]
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conn.executemany(
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"INSERT OR REPLACE INTO option_chain_snapshots("
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"timestamp, asset, instrument_name, strike, expiry, option_type, "
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"bid, ask, mid, iv, delta, gamma, theta, vega, "
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"open_interest, volume_24h, book_depth_top3) "
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"VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
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rows,
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)
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return len(rows)
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def list_option_chain_snapshots(
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self,
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conn: sqlite3.Connection,
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*,
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asset: str,
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start: datetime | None = None,
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end: datetime | None = None,
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expiry_from: datetime | None = None,
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expiry_to: datetime | None = None,
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limit: int = 50000,
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) -> list[OptionChainQuoteRecord]:
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clauses: list[str] = ["asset = ?"]
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params: list[Any] = [asset]
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if start is not None:
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clauses.append("timestamp >= ?")
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params.append(_enc_dt(start))
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if end is not None:
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clauses.append("timestamp <= ?")
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params.append(_enc_dt(end))
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if expiry_from is not None:
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clauses.append("expiry >= ?")
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params.append(_enc_dt(expiry_from))
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if expiry_to is not None:
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clauses.append("expiry <= ?")
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params.append(_enc_dt(expiry_to))
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params.append(int(limit))
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rows = conn.execute(
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f"SELECT * FROM option_chain_snapshots "
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f"WHERE {' AND '.join(clauses)} "
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f"ORDER BY timestamp DESC, instrument_name ASC LIMIT ?",
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params,
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).fetchall()
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return [_row_to_option_chain_quote(r) for r in rows]
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def latest_option_chain_timestamp(
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self,
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conn: sqlite3.Connection,
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*,
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asset: str,
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) -> datetime | None:
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"""Timestamp dell'ultimo snapshot raccolto per ``asset``,
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utile per stimare la freschezza del dato dalla GUI."""
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row = conn.execute(
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"SELECT timestamp FROM option_chain_snapshots "
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"WHERE asset = ? ORDER BY timestamp DESC LIMIT 1",
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(asset,),
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).fetchone()
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if row is None:
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return None
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return _dec_dt(row["timestamp"])
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# ------------------------------------------------------------------
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# manual_actions
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# ------------------------------------------------------------------
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@@ -692,6 +790,38 @@ def _row_to_market_snapshot(row: sqlite3.Row) -> MarketSnapshotRecord:
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)
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def _row_to_option_chain_quote(row: sqlite3.Row) -> OptionChainQuoteRecord:
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return OptionChainQuoteRecord(
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timestamp=_dec_dt_required(row["timestamp"]),
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asset=row["asset"],
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instrument_name=row["instrument_name"],
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strike=_dec_dec_required(row["strike"]),
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expiry=_dec_dt_required(row["expiry"]),
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option_type=row["option_type"],
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bid=_dec_dec(row["bid"]),
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ask=_dec_dec(row["ask"]),
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mid=_dec_dec(row["mid"]),
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iv=_dec_dec(row["iv"]),
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delta=_dec_dec(row["delta"]),
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gamma=_dec_dec(row["gamma"]),
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theta=_dec_dec(row["theta"]),
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vega=_dec_dec(row["vega"]),
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open_interest=(
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int(row["open_interest"])
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if row["open_interest"] is not None
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else None
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),
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volume_24h=(
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int(row["volume_24h"]) if row["volume_24h"] is not None else None
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),
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book_depth_top3=(
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int(row["book_depth_top3"])
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if row["book_depth_top3"] is not None
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else None
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),
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)
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def _dec_dec_required(value: Any) -> Decimal:
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out = _dec_dec(value)
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if out is None:
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