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Source code for galaxy.tool_util.linters.inputs

"""This module contains a linting functions for tool inputs."""
import ast
import re
from typing import TYPE_CHECKING

from galaxy.util import string_as_bool
from ._util import (
    is_datasource,
    is_valid_cheetah_placeholder,
)
from ..parser.util import _parse_name

if TYPE_CHECKING:
    from galaxy.tool_util.lint import LintContext
    from galaxy.tool_util.parser import ToolSource

FILTER_TYPES = [
    "data_meta",
    "param_value",
    "static_value",
    "regexp",
    "unique_value",
    "multiple_splitter",
    "attribute_value_splitter",
    "add_value",
    "remove_value",
    "sort_by",
]

ATTRIB_VALIDATOR_COMPATIBILITY = {
    "check": ["metadata"],
    "expression": ["substitute_value_in_message"],
    "table_name": [
        "dataset_metadata_in_data_table",
        "dataset_metadata_not_in_data_table",
        "value_in_data_table",
        "value_not_in_data_table",
    ],
    "filename": ["dataset_metadata_in_file"],
    "metadata_name": [
        "dataset_metadata_equal",
        "dataset_metadata_in_data_table",
        "dataset_metadata_not_in_data_table",
        "dataset_metadata_in_file",
        "dataset_metadata_in_range",
    ],
    "metadata_column": [
        "dataset_metadata_in_data_table",
        "dataset_metadata_not_in_data_table",
        "value_in_data_table",
        "value_not_in_data_table",
        "dataset_metadata_in_file",
    ],
    "line_startswith": ["dataset_metadata_in_file"],
    "min": ["in_range", "length", "dataset_metadata_in_range"],
    "max": ["in_range", "length", "dataset_metadata_in_range"],
    "exclude_min": ["in_range", "dataset_metadata_in_range"],
    "exclude_max": ["in_range", "dataset_metadata_in_range"],
    "split": ["dataset_metadata_in_file"],
    "skip": ["metadata"],
    "value": ["dataset_metadata_equal"],
    "value_json": ["dataset_metadata_equal"],
}

PARAMETER_VALIDATOR_TYPE_COMPATIBILITY = {
    "integer": ["in_range", "expression"],
    "float": ["in_range", "expression"],
    "data": [
        "metadata",
        "no_options",
        "unspecified_build",
        "dataset_ok_validator",
        "dataset_metadata_equal",
        "dataset_metadata_in_range",
        "dataset_metadata_in_file",
        "dataset_metadata_in_data_table",
        "dataset_metadata_not_in_data_table",
        "expression",
    ],
    "data_collection": [
        "metadata",
        "no_options",
        "unspecified_build",
        "dataset_ok_validator",
        "dataset_metadata_equal",
        "dataset_metadata_in_range",
        "dataset_metadata_in_file",
        "dataset_metadata_in_data_table",
        "dataset_metadata_not_in_data_table",
        "expression",
    ],
    "text": ["regex", "length", "empty_field", "value_in_data_table", "value_not_in_data_table", "expression"],
    "select": [
        "no_options",
        "regex",
        "length",
        "empty_field",
        "value_in_data_table",
        "value_not_in_data_table",
        "expression",
    ],
    "drill_down": [
        "no_options",
        "regex",
        "length",
        "empty_field",
        "value_in_data_table",
        "value_not_in_data_table",
        "expression",
    ],
    "data_column": [
        "no_options",
        "regex",
        "length",
        "empty_field",
        "value_in_data_table",
        "value_not_in_data_table",
        "expression",
    ],
}

PARAM_TYPE_CHILD_COMBINATIONS = [
    ("./options", ["data", "select", "drill_down"]),
    ("./options/option", ["drill_down"]),
    ("./column", ["data_column"]),
]


[docs]def lint_inputs(tool_source: "ToolSource", lint_ctx: "LintContext"): """Lint parameters in a tool's inputs block.""" tool_xml = getattr(tool_source, "xml_tree", None) if tool_xml is None: return profile = tool_source.parse_profile() datasource = is_datasource(tool_xml) input_names = set() inputs = tool_xml.findall("./inputs//param") # determine node to report for general problems with outputs tool_node = tool_xml.find("./inputs") if tool_node is None: tool_node = tool_xml.getroot() num_inputs = 0 for param in inputs: num_inputs += 1 param_attrib = param.attrib if "name" not in param_attrib and "argument" not in param_attrib: lint_ctx.error("Found param input with no name specified.", node=param) continue param_name = _parse_name(param_attrib.get("name"), param_attrib.get("argument")) if "name" in param_attrib and "argument" in param_attrib: if param_attrib.get("name") == _parse_name(None, param_attrib.get("argument")): lint_ctx.warn( f"Param input [{param_name}] 'name' attribute is redundant if argument implies the same name.", node=param, ) if param_name.strip() == "": lint_ctx.error("Param input with empty name.", node=param) elif not is_valid_cheetah_placeholder(param_name): lint_ctx.warn(f"Param input [{param_name}] is not a valid Cheetah placeholder.", node=param) # check for parameters with duplicate names path = [param_name] parent = param while True: parent = parent.getparent() if parent.tag == "inputs": break # parameters of the same name in different when branches are allowed # just add the value of the when branch to the path (this also allows # that the conditional select has the same name as params in the whens) if parent.tag == "when": path.append(str(parent.attrib.get("value"))) else: path.append(str(parent.attrib.get("name"))) path_str = ".".join(reversed(path)) if path_str in input_names: lint_ctx.error(f"Tool defines multiple parameters with the same name: '{path_str}'", node=param) input_names.add(path_str) if "type" not in param_attrib: lint_ctx.error(f"Param input [{param_name}] input with no type specified.", node=param) continue elif param_attrib["type"].strip() == "": lint_ctx.error(f"Param input [{param_name}] with empty type specified.", node=param) continue param_type = param_attrib["type"] # TODO lint for valid param type - attribute combinations # lint for valid param type - child node combinations for ptcc in PARAM_TYPE_CHILD_COMBINATIONS: if param.find(ptcc[0]) is not None and param_type not in ptcc[1]: lint_ctx.error( f"Parameter [{param_name}] '{ptcc[0]}' tags are only allowed for parameters of type {ptcc[1]}", node=param, ) # param type specific linting if param_type == "data": if "format" not in param_attrib: lint_ctx.warn( f"Param input [{param_name}] with no format specified - 'data' format will be assumed.", node=param ) options = param.findall("./options") has_options_filter_attribute = False if len(options) == 1: for oa in options[0].attrib: if oa == "options_filter_attribute": has_options_filter_attribute = True else: lint_ctx.error(f"Data parameter [{param_name}] uses invalid attribute: {oa}", node=param) elif len(options) > 1: lint_ctx.error(f"Data parameter [{param_name}] contains multiple options elements.", node=options[1]) # for data params only filters with key='build' of type='data_meta' are allowed filters = param.findall("./options/filter") for f in filters: if not f.get("ref"): lint_ctx.error( f"Data parameter [{param_name}] filter needs to define a ref attribute", node=f, ) if has_options_filter_attribute: if f.get("type") != "data_meta": lint_ctx.error( f'Data parameter [{param_name}] for filters only type="data_meta" is allowed, found type="{f.get("type")}"', node=f, ) else: if f.get("key") != "dbkey" or f.get("type") != "data_meta": lint_ctx.error( f'Data parameter [{param_name}] for filters only type="data_meta" and key="dbkey" are allowed, found type="{f.get("type")}" and key="{f.get("key")}"', node=f, ) elif param_type == "select": # get dynamic/statically defined options dynamic_options = param.get("dynamic_options", None) options = param.findall("./options") filters = param.findall("./options/filter") select_options = param.findall("./option") if dynamic_options is not None: lint_ctx.warn( f"Select parameter [{param_name}] uses deprecated 'dynamic_options' attribute.", node=param ) # check if options are defined by exactly one possibility if param.getparent().tag != "conditional": if (dynamic_options is not None) + (len(options) > 0) + (len(select_options) > 0) != 1: lint_ctx.error( f"Select parameter [{param_name}] options have to be defined by either 'option' children elements, a 'options' element or the 'dynamic_options' attribute.", node=param, ) else: if len(select_options) == 0: lint_ctx.error( f"Select parameter of a conditional [{param_name}] options have to be defined by 'option' children elements.", node=param, ) # lint dynamic options if len(options) == 1: filters = options[0].findall("./filter") # lint filters # TODO check if dataset is available for filters referring other datasets filter_adds_options = False for f in filters: ftype = f.get("type", None) if ftype is None: lint_ctx.error(f"Select parameter [{param_name}] contains filter without type.", node=f) continue if ftype not in FILTER_TYPES: lint_ctx.error( f"Select parameter [{param_name}] contains filter with unknown type '{ftype}'.", node=f ) continue if ftype in ["add_value", "data_meta"]: filter_adds_options = True # TODO more linting of filters from_file = options[0].get("from_file", None) from_parameter = options[0].get("from_parameter", None) from_dataset = options[0].get("from_dataset", None) from_data_table = options[0].get("from_data_table", None) # TODO check if input param is present for from_dataset if ( from_file is None and from_parameter is None and from_dataset is None and from_data_table is None and not filter_adds_options ): lint_ctx.error( f"Select parameter [{param_name}] options tag defines no options. Use 'from_dataset', 'from_data_table', or a filter that adds values.", node=options[0], ) for deprecated_attr in ["from_file", "from_parameter", "options_filter_attribute", "transform_lines"]: if options[0].get(deprecated_attr) is not None: lint_ctx.warn( f"Select parameter [{param_name}] options uses deprecated '{deprecated_attr}' attribute.", node=options[0], ) if from_dataset is not None and from_data_table is not None: lint_ctx.error( f"Select parameter [{param_name}] options uses 'from_dataset' and 'from_data_table' attribute.", node=options[0], ) if options[0].get("meta_file_key", None) is not None and from_dataset is None: lint_ctx.error( f"Select parameter [{param_name}] 'meta_file_key' is only compatible with 'from_dataset'.", node=options[0], ) elif len(options) > 1: lint_ctx.error(f"Select parameter [{param_name}] contains multiple options elements.", node=options[1]) # lint statically defined options if any("value" not in option.attrib for option in select_options): lint_ctx.error(f"Select parameter [{param_name}] has option without value", node=param) if any(option.text is None for option in select_options): lint_ctx.warn(f"Select parameter [{param_name}] has option without text", node=param) select_options_texts = list() select_options_values = list() for option in select_options: value = option.attrib.get("value", "") if option.text is None: text = value.capitalize() else: text = option.text select_options_texts.append((text, option.attrib.get("selected", "false"))) select_options_values.append((value, option.attrib.get("selected", "false"))) if len(set(select_options_texts)) != len(select_options_texts): lint_ctx.error( f"Select parameter [{param_name}] has multiple options with the same text content", node=param ) if len(set(select_options_values)) != len(select_options_values): lint_ctx.error(f"Select parameter [{param_name}] has multiple options with the same value", node=param) if param_type == "boolean": truevalue = param_attrib.get("truevalue", "true") falsevalue = param_attrib.get("falsevalue", "false") problematic_booleans_allowed = profile < "23.1" lint_level = lint_ctx.warn if problematic_booleans_allowed else lint_ctx.error if truevalue == falsevalue: lint_level( f"Boolean parameter [{param_name}] needs distinct 'truevalue' and 'falsevalue' values.", node=param ) if truevalue.lower() == "false": lint_level(f"Boolean parameter [{param_name}] has invalid truevalue [{truevalue}].", node=param) if falsevalue.lower() == "true": lint_level(f"Boolean parameter [{param_name}] has invalid falsevalue [{falsevalue}].", node=param) if param_type in ["select", "data_column", "drill_down"]: multiple = string_as_bool(param_attrib.get("multiple", "false")) optional = string_as_bool(param_attrib.get("optional", multiple)) if param_attrib.get("display") == "checkboxes": if not multiple: lint_ctx.error( f'Select [{param_name}] `display="checkboxes"` is incompatible with `multiple="false"`, remove the `display` attribute', node=param, ) if not optional: lint_ctx.error( f'Select [{param_name}] `display="checkboxes"` is incompatible with `optional="false"`, remove the `display` attribute', node=param, ) if param_attrib.get("display") == "radio": if multiple: lint_ctx.error( f'Select [{param_name}] display="radio" is incompatible with multiple="true"', node=param ) if optional: lint_ctx.error( f'Select [{param_name}] display="radio" is incompatible with optional="true"', node=param ) # TODO: Validate type, much more... # lint validators # TODO check if dataset is available for validators referring other datasets validators = param.findall("./validator") for validator in validators: vtype = validator.attrib["type"] if param_type in PARAMETER_VALIDATOR_TYPE_COMPATIBILITY: if vtype not in PARAMETER_VALIDATOR_TYPE_COMPATIBILITY[param_type]: lint_ctx.error( f"Parameter [{param_name}]: validator with an incompatible type '{vtype}'", node=validator ) for attrib in ATTRIB_VALIDATOR_COMPATIBILITY: if attrib in validator.attrib and vtype not in ATTRIB_VALIDATOR_COMPATIBILITY[attrib]: lint_ctx.error( f"Parameter [{param_name}]: attribute '{attrib}' is incompatible with validator of type '{vtype}'", node=validator, ) if vtype in ["expression", "regex"]: if validator.text is None: lint_ctx.error( f"Parameter [{param_name}]: {vtype} validators are expected to contain text", node=validator ) else: try: if vtype == "regex": re.compile(validator.text) else: ast.parse(validator.text, mode="eval") except Exception as e: lint_ctx.error( f"Parameter [{param_name}]: '{validator.text}' is no valid regular expression: {str(e)}", node=validator, ) if vtype not in ["expression", "regex"] and validator.text is not None: lint_ctx.warn( f"Parameter [{param_name}]: '{vtype}' validators are not expected to contain text (found '{validator.text}')", node=validator, ) if vtype in ["in_range", "length", "dataset_metadata_in_range"] and ( "min" not in validator.attrib and "max" not in validator.attrib ): lint_ctx.error( f"Parameter [{param_name}]: '{vtype}' validators need to define the 'min' or 'max' attribute(s)", node=validator, ) if vtype in ["dataset_metadata_equal"]: if ( not ("value" in validator.attrib or "value_json" in validator.attrib) or "metadata_name" not in validator.attrib ): lint_ctx.error( f"Parameter [{param_name}]: '{vtype}' validators need to define the 'value'/'value_json' and 'metadata_name' attributes", node=validator, ) if "value" in validator.attrib and "value_json" in validator.attrib: lint_ctx.error( f"Parameter [{param_name}]: '{vtype}' validators must not define the 'value' and the 'value_json' attributes", node=validator, ) if vtype in ["metadata"] and ("check" not in validator.attrib and "skip" not in validator.attrib): lint_ctx.error( f"Parameter [{param_name}]: '{vtype}' validators need to define the 'check' or 'skip' attribute(s)", node=validator, ) if ( vtype in [ "value_in_data_table", "value_not_in_data_table", "dataset_metadata_in_data_table", "dataset_metadata_not_in_data_table", ] and "table_name" not in validator.attrib ): lint_ctx.error( f"Parameter [{param_name}]: '{vtype}' validators need to define the 'table_name' attribute", node=validator, ) if ( vtype in [ "dataset_metadata_in_data_table", "dataset_metadata_not_in_data_table", "dataset_metadata_in_file", "dataset_metadata_in_range", ] and "metadata_name" not in validator.attrib ): lint_ctx.error( f"Parameter [{param_name}]: '{vtype}' validators need to define the 'metadata_name' attribute", node=validator, ) conditional_selects = tool_xml.findall("./inputs//conditional") for conditional in conditional_selects: conditional_name = conditional.get("name") if not conditional_name: lint_ctx.error("Conditional without a name", node=conditional) if conditional.get("value_from"): # Probably only the upload tool use this, no children elements continue first_param = conditional.findall("param") if len(first_param) != 1: lint_ctx.error( f"Conditional [{conditional_name}] needs exactly one child <param> found {len(first_param)}", node=conditional, ) continue first_param = first_param[0] first_param_type = first_param.get("type") if first_param_type == "boolean": lint_ctx.warn( f'Conditional [{conditional_name}] first param of type="boolean" is discouraged, use a select', node=first_param, ) elif first_param_type != "select": lint_ctx.error(f'Conditional [{conditional_name}] first param should have type="select"', node=first_param) continue if first_param_type == "select": select_options = _find_with_attribute(first_param, "option", "value") option_ids = [option.get("value") for option in select_options] else: # boolean option_ids = [first_param.get("truevalue", "true"), first_param.get("falsevalue", "false")] for incomp in ["optional", "multiple"]: if string_as_bool(first_param.get(incomp, False)): lint_ctx.warn( f'Conditional [{conditional_name}] test parameter cannot be {incomp}="true"', node=first_param ) whens = conditional.findall("./when") if any("value" not in when.attrib for when in whens): lint_ctx.error(f"Conditional [{conditional_name}] when without value", node=conditional) when_ids = [w.get("value") for w in whens if w.get("value") is not None] for option_id in option_ids: if option_id not in when_ids: lint_ctx.warn( f"Conditional [{conditional_name}] no <when /> block found for {first_param_type} option '{option_id}'", node=conditional, ) for when_id in when_ids: if when_id not in option_ids: if first_param_type == "select": lint_ctx.warn( f"Conditional [{conditional_name}] no <option /> found for when block '{when_id}'", node=conditional, ) else: lint_ctx.warn( f"Conditional [{conditional_name}] no truevalue/falsevalue found for when block '{when_id}'", node=conditional, ) if datasource: # TODO only display is subtag of inputs, uihints is a separate top level tag (supporting only attrib minwidth) for datasource_tag in ("display", "uihints"): if not any(param.tag == datasource_tag for param in inputs): lint_ctx.info(f"{datasource_tag} tag usually present in data sources", node=tool_node) if num_inputs: lint_ctx.info(f"Found {num_inputs} input parameters.", node=tool_node) else: if datasource: lint_ctx.info("No input parameters, OK for data sources", node=tool_node) else: lint_ctx.warn("Found no input parameters.", node=tool_node) # check if there is an output with the same name as an input outputs = tool_xml.find("./outputs") if outputs is not None: for output in outputs: if output.get("name") in input_names: lint_ctx.error( f'Tool defines an output with a name equal to the name of an input: \'{output.get("name")}\'', node=output, )
[docs]def lint_repeats(tool_source: "ToolSource", lint_ctx): """Lint repeat blocks in tool inputs.""" tool_xml = getattr(tool_source, "xml_tree", None) if tool_xml is None: return repeats = tool_xml.findall("./inputs//repeat") for repeat in repeats: if "name" not in repeat.attrib: lint_ctx.error("Repeat does not specify name attribute.", node=repeat) if "title" not in repeat.attrib: lint_ctx.error("Repeat does not specify title attribute.", node=repeat)
def _find_with_attribute(element, tag, attribute, test_value=None): rval = [] for el in element.findall(f"./{tag}") or []: if attribute not in el.attrib: continue value = el.attrib[attribute] if test_value is not None: if value == test_value: rval.append(el) else: rval.append(el) return rval