dodox
d97aac0e17
Backend: receipt upload -> LLM vision extraction (OpenAI-compatible, provider-agnostic), item review/edit, per-group splitting against Cospend projects/members, highlight+upload via WebDAV, public share link, bill creation via Cospend's OCS API (verified against real source, not just doc summaries). Frontend: capture -> review -> group -> summary flow as an installable PWA. install.sh / run.sh (venv + npm, tmux session) instead of Docker, per the ~/Projects/gain pattern.
24 lines
658 B
Python
24 lines
658 B
Python
import os
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import sqlite3
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_SCHEMA_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "schema.sql")
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_db_path: str | None = None
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def init_db(database_path: str) -> None:
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global _db_path
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_db_path = database_path
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os.makedirs(os.path.dirname(database_path), exist_ok=True)
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with get_conn() as conn, open(_SCHEMA_PATH) as f:
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conn.executescript(f.read())
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def get_conn() -> sqlite3.Connection:
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if _db_path is None:
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raise RuntimeError("init_db() must be called before get_conn()")
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conn = sqlite3.connect(_db_path)
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conn.row_factory = sqlite3.Row
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conn.execute("PRAGMA foreign_keys = ON")
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return conn
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