122 lines
2.9 KiB
Python
122 lines
2.9 KiB
Python
#!/usr/bin/env python3
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from __future__ import annotations
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import csv
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import uuid
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import TypedDict
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CSV_HEADERS = [
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"id",
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"created_at",
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"session_id",
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"session_date",
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"player_name",
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"event_type",
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"amount_cents",
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"note",
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"actor",
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]
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class EventRow(TypedDict):
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id: str
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created_at: str
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session_id: str
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session_date: str
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player_name: str
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event_type: str
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amount_cents: int
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note: str
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actor: str
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VALID_EVENT_TYPES = {
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"buyin",
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"front",
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"front_writeoff",
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"cashout",
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"paid",
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"rollover_in",
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"rollover_out",
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"note",
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"session_open",
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"session_close",
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}
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def ensure_data_file(csv_path: Path) -> None:
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csv_path.parent.mkdir(parents=True, exist_ok=True)
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if csv_path.exists():
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return
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with csv_path.open("w", newline="", encoding="utf-8") as file:
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writer = csv.DictWriter(file, fieldnames=CSV_HEADERS)
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writer.writeheader()
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def load_events(csv_path: Path) -> list[EventRow]:
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ensure_data_file(csv_path)
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events: list[EventRow] = []
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with csv_path.open("r", newline="", encoding="utf-8") as file:
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reader = csv.DictReader(file)
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for row in reader:
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events.append(
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EventRow(
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id=row["id"],
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created_at=row["created_at"],
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session_id=row["session_id"],
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session_date=row["session_date"],
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player_name=row["player_name"],
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event_type=row["event_type"],
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amount_cents=int(row["amount_cents"] or 0),
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note=row.get("note", ""),
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actor=row.get("actor", ""),
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)
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)
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events.sort(
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key=lambda event: (event["session_date"], event["created_at"], event["id"])
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)
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return events
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def append_event(
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csv_path: Path,
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session_id: str,
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session_date: str,
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player_name: str,
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event_type: str,
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amount_cents: int,
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note: str,
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actor: str,
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) -> EventRow:
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ensure_data_file(csv_path)
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normalized_type = event_type.strip().lower()
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if normalized_type not in VALID_EVENT_TYPES:
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raise ValueError(f"Unsupported event type: {event_type}")
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if normalized_type in {"note", "session_open", "session_close"}:
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amount_cents = 0
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event = EventRow(
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id=str(uuid.uuid4()),
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created_at=datetime.now(timezone.utc).isoformat(),
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session_id=session_id.strip(),
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session_date=session_date.strip(),
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player_name=player_name.strip(),
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event_type=normalized_type,
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amount_cents=amount_cents,
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note=note.strip(),
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actor=actor.strip(),
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)
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with csv_path.open("a", newline="", encoding="utf-8") as file:
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writer = csv.DictWriter(file, fieldnames=CSV_HEADERS)
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writer.writerow(event)
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return event
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