|
| 1 | +import logging |
| 2 | +from typing import Iterable, Optional |
| 3 | + |
| 4 | +from duckdb import DuckDBPyConnection, DuckDBPyRelation |
| 5 | + |
| 6 | +from countess import VERSION |
| 7 | +from countess.core.parameters import BooleanParam, ColumnOrNoneChoiceParam, PerNumericColumnArrayParam |
| 8 | +from countess.core.plugins import DuckdbSqlPlugin |
| 9 | +from countess.utils.duckdb import duckdb_escape_identifier |
| 10 | + |
| 11 | +logger = logging.getLogger(__name__) |
| 12 | + |
| 13 | + |
| 14 | +class FrequencyPlugin(DuckdbSqlPlugin): |
| 15 | + name = "Calculate Frequencies" |
| 16 | + description = "Calculate frequencies from counts" |
| 17 | + version = VERSION |
| 18 | + |
| 19 | + columns = PerNumericColumnArrayParam("Columns", BooleanParam("Convert?")) |
| 20 | + group_col = ColumnOrNoneChoiceParam("Group By") |
| 21 | + |
| 22 | + def prepare(self, ddbc: DuckDBPyConnection, source: Optional[DuckDBPyRelation]) -> None: |
| 23 | + super().prepare(ddbc, source) |
| 24 | + |
| 25 | + # set default values for converting "count" columns |
| 26 | + if not any(cp.value for cp in self.columns): |
| 27 | + for cp in self.columns: |
| 28 | + if 'count' in cp.label: |
| 29 | + cp.value = True |
| 30 | + |
| 31 | + def sql(self, table_name: str, columns: Iterable[str]) -> Optional[str]: |
| 32 | + sums = ", ".join( |
| 33 | + f"sum(T0.{duckdb_escape_identifier(cp.label)}) as sum_{n}" for n, cp in enumerate(self.columns) if cp.value |
| 34 | + ) |
| 35 | + |
| 36 | + if not sums: |
| 37 | + return None |
| 38 | + |
| 39 | + freqs = ", ".join( |
| 40 | + f"CASE WHEN T1.sum_{n} > 0 THEN T0.{duckdb_escape_identifier(cp.label)} / T1.sum_{n} ELSE 0 END " |
| 41 | + f"as {duckdb_escape_identifier(cp.label + '_freq')}" |
| 42 | + for n, cp in enumerate(self.columns) |
| 43 | + if cp.value |
| 44 | + ) |
| 45 | + |
| 46 | + group_col_id = duckdb_escape_identifier(self.group_col.value) if self.group_col.is_not_none() else "1" |
| 47 | + |
| 48 | + return f""" |
| 49 | + select T0.*, {freqs} |
| 50 | + from {table_name} T0 join ( |
| 51 | + select {group_col_id} as score_group, {sums} |
| 52 | + from {table_name} T0 |
| 53 | + group by score_group |
| 54 | + ) T1 on ({group_col_id} = T1.score_group) |
| 55 | + """ |
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