78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
from collections.abc import Iterable, Iterator
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from typing import TypedDict
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from folkugat_web.dal.sql import Connection, get_connection
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from folkugat_web.dal.sql.sessions import conversion as sessions_conversion
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from folkugat_web.model import playlists as model
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from folkugat_web.model.sessions import Session
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from folkugat_web.utils import groupby
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from . import conversion
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class QueryData(TypedDict, total=False):
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id: int
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set_id: int
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session_id: int
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def _filter_clause(
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entry_id: int | None = None,
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set_id: int | None = None,
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session_id: int | None = None,
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) -> tuple[str, QueryData]:
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filter_clauses: list[str] = []
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query_data: QueryData = {}
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if entry_id is not None:
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filter_clauses.append("id = :id")
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query_data["id"] = entry_id
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if set_id is not None:
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filter_clauses.append("set_id = :set_id")
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query_data["set_id"] = set_id
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if session_id is not None:
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filter_clauses.append("session_id = :session_id")
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query_data["session_id"] = session_id
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return " AND ".join(filter_clauses), query_data
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def get_playlist_entries(
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entry_id: int | None = None,
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set_id: int | None = None,
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session_id: int | None = None,
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con: Connection | None = None,
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) -> Iterator[model.PlaylistEntry]:
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filter_clause, data = _filter_clause(entry_id=entry_id, set_id=set_id, session_id=session_id)
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query = f"""
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SELECT
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id, session_id, set_id, tema_id
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FROM playlists
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WHERE {filter_clause}
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"""
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with get_connection(con) as con:
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cur = con.cursor()
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_ = cur.execute(query, data)
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return map(conversion.row_to_playlist_entry, cur.fetchall())
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GetTuneSessionsRow = tuple[int, int, str, str, str, str | None, str | None, bool]
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def get_tune_sessions(tema_ids: list[int], con: Connection | None = None) -> dict[int, list[Session]]:
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placeholders = ", ".join(["?" for _ in tema_ids])
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query = f"""
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SELECT p.tema_id, s.id, s.date, s.start_time, s.end_time, s.venue_name, s.venue_url, s.is_live
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FROM playlists p JOIN sessions s ON p.session_id = s.id
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WHERE p.tema_id IN ({placeholders})
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"""
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with get_connection(con) as con:
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cur = con.cursor()
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_ = cur.execute(query, tema_ids)
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result_rows: Iterable[GetTuneSessionsRow] = cur.fetchall()
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return dict(groupby(
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result_rows,
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key_fn=lambda row: row[0],
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group_fn=lambda rows: list(sessions_conversion.row_to_session(row[1:]) for row in rows)
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))
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