|
2 | 2 |
|
3 | 3 | __all__: list[str] = [] |
4 | 4 |
|
| 5 | +import json |
| 6 | +import re |
5 | 7 | from typing import Annotated, cast |
6 | 8 |
|
| 9 | +from rich.console import Console |
| 10 | +from rich.table import Table |
7 | 11 | from typer import Option |
8 | 12 |
|
9 | 13 | from diracx.client.aio import AsyncDiracClient |
| 14 | +from diracx.core.models.search import ( |
| 15 | + ScalarSearchOperator, |
| 16 | + SearchSpec, |
| 17 | + VectorSearchOperator, |
| 18 | +) |
| 19 | +from diracx.core.preferences import OutputFormats, get_diracx_preferences |
10 | 20 |
|
11 | | -from ..jobs import ContentRange, available_operators, display, parse_condition |
12 | 21 | from . import app |
13 | 22 |
|
| 23 | +available_operators = ( |
| 24 | + f"Scalar operators: {', '.join([op.value for op in ScalarSearchOperator])}. " |
| 25 | + f"Vector operators: {', '.join([op.value for op in VectorSearchOperator])}." |
| 26 | +) |
| 27 | + |
| 28 | + |
| 29 | +def parse_condition(value: str) -> SearchSpec: |
| 30 | + parameter, operator, rest = value.split(" ", 2) |
| 31 | + if operator in set(ScalarSearchOperator): |
| 32 | + return { |
| 33 | + "parameter": parameter, |
| 34 | + "operator": ScalarSearchOperator(operator), |
| 35 | + "value": rest, |
| 36 | + } |
| 37 | + elif operator in set(VectorSearchOperator): |
| 38 | + return { |
| 39 | + "parameter": parameter, |
| 40 | + "operator": VectorSearchOperator(operator), |
| 41 | + "values": json.loads(rest), |
| 42 | + } |
| 43 | + else: |
| 44 | + raise ValueError(f"Unknown operator {operator}") |
| 45 | + |
| 46 | + |
| 47 | +class ContentRange: |
| 48 | + unit: str | None = None |
| 49 | + start: int | None = None |
| 50 | + end: int | None = None |
| 51 | + total: int | None = None |
| 52 | + |
| 53 | + def __init__(self, header: str): |
| 54 | + if match := re.fullmatch(r"(\w+) (\d+-\d+|\*)/(\d+|\*)", header): |
| 55 | + self.unit, range, total = match.groups() |
| 56 | + self.total = int(total) |
| 57 | + if range != "*": |
| 58 | + self.start, self.end = map(int, range.split("-")) |
| 59 | + elif match := re.fullmatch(r"\w+", header): |
| 60 | + self.unit = match.group() |
| 61 | + |
| 62 | + @property |
| 63 | + def caption(self): |
| 64 | + if self.start is None and self.end is None: |
| 65 | + range_str = "all" |
| 66 | + else: |
| 67 | + range_str = ( |
| 68 | + f"{self.start if self.start is not None else 'unknown'}-" |
| 69 | + f"{self.end if self.end is not None else 'unknown'} " |
| 70 | + f"of {self.total or 'unknown'}" |
| 71 | + ) |
| 72 | + return f"Showing {range_str} {self.unit}" |
| 73 | + |
| 74 | + |
| 75 | +def display(data, content_range: ContentRange): |
| 76 | + output_format = get_diracx_preferences().output_format |
| 77 | + match output_format: |
| 78 | + case OutputFormats.JSON: |
| 79 | + print(json.dumps(data, indent=2)) |
| 80 | + case OutputFormats.RICH: |
| 81 | + display_rich(data, content_range) |
| 82 | + case _: |
| 83 | + raise NotImplementedError(output_format) |
| 84 | + |
| 85 | + |
| 86 | +def display_rich(data, content_range: ContentRange) -> None: |
| 87 | + if not data: |
| 88 | + print(f"No {content_range.unit} found") |
| 89 | + return |
| 90 | + |
| 91 | + console = Console() |
| 92 | + columns = [str(c) for c in data[0].keys()] |
| 93 | + if sum(map(len, columns)) > 0.75 * console.width: |
| 94 | + table = Table( |
| 95 | + "Parameter", |
| 96 | + "Value", |
| 97 | + caption=content_range.caption, |
| 98 | + caption_justify="right", |
| 99 | + ) |
| 100 | + for job in data: |
| 101 | + for k, v in job.items(): |
| 102 | + table.add_row(k, str(v)) |
| 103 | + table.add_section() |
| 104 | + else: |
| 105 | + table = Table( |
| 106 | + *columns, |
| 107 | + caption=content_range.caption, |
| 108 | + caption_justify="right", |
| 109 | + ) |
| 110 | + for job in data: |
| 111 | + table.add_row(*map(str, job.values())) |
| 112 | + console.print(table) |
| 113 | + |
14 | 114 |
|
15 | 115 | @app.async_command() |
16 | 116 | async def search( |
|
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