Source code for robot.running.importer

#  Copyright 2008-2015 Nokia Networks
#  Copyright 2016-     Robot Framework Foundation
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.

import os

from robot.output import LOGGER
from robot.errors import FrameworkError, DataError
from robot.utils import normpath, seq2str, seq2str2

from .builder import ResourceFileBuilder
from .testlibraries import TestLibrary


RESOURCE_EXTENSIONS = {'.resource', '.robot', '.txt', '.tsv', '.rst', '.rest',
                       '.json', '.rsrc'}


[docs] class Importer: def __init__(self): self._library_cache = ImportCache() self._resource_cache = ImportCache()
[docs] def reset(self): self.__init__()
[docs] def close_global_library_listeners(self): for lib in self._library_cache.values(): lib.scope_manager.close_global_listeners()
[docs] def import_library(self, name, args, alias, variables): lib = TestLibrary.from_name(name, args=args, variables=variables, create_keywords=False) positional, named = lib.init.positional, lib.init.named args_str = seq2str2(positional + [f'{n}={named[n]}' for n in named]) key = (name, positional, named) if key in self._library_cache: LOGGER.info(f"Found library '{name}' with arguments {args_str} " f"from cache.") lib = self._library_cache[key] else: lib.create_keywords() if lib.scope is not lib.scope.GLOBAL: lib.instance = None self._library_cache[key] = lib self._log_imported_library(name, args_str, lib) if alias: alias = variables.replace_scalar(alias) lib = lib.copy(name=alias) LOGGER.info(f"Imported library '{name}' with name '{alias}'.") return lib
[docs] def import_resource(self, path, lang=None): self._validate_resource_extension(path) if path in self._resource_cache: LOGGER.info(f"Found resource file '{path}' from cache.") else: resource = ResourceFileBuilder(lang=lang).build(path) self._resource_cache[path] = resource return self._resource_cache[path]
def _validate_resource_extension(self, path): extension = os.path.splitext(path)[1] if extension.lower() not in RESOURCE_EXTENSIONS: extensions = seq2str(sorted(RESOURCE_EXTENSIONS)) raise DataError(f"Invalid resource file extension '{extension}'. " f"Supported extensions are {extensions}.") def _log_imported_library(self, name, args_str, lib): kind = type(lib).__name__.replace('Library', '').lower() listener = ', with listener' if lib.listeners else '' LOGGER.info(f"Imported library '{name}' with arguments {args_str} " f"(version {lib.version or '<unknown>'}, {kind} type, " f"{lib.scope.name} scope, {len(lib.keywords)} keywords{listener}).") if not (lib.keywords or lib.listeners): LOGGER.warn(f"Imported library '{name}' contains no keywords.")
[docs] class ImportCache: """Keeps track on and optionally caches imported items. Handles paths in keys case-insensitively on case-insensitive OSes. Unlike dicts, this storage accepts mutable values in keys. """ def __init__(self): self._keys = [] self._items = [] def __setitem__(self, key, item): if not isinstance(key, (str, tuple)): raise FrameworkError('Invalid key for ImportCache') key = self._norm_path_key(key) if key not in self._keys: self._keys.append(key) self._items.append(item) else: self._items[self._keys.index(key)] = item
[docs] def add(self, key, item=None): self.__setitem__(key, item)
def __getitem__(self, key): key = self._norm_path_key(key) if key not in self._keys: raise KeyError return self._items[self._keys.index(key)] def __contains__(self, key): return self._norm_path_key(key) in self._keys
[docs] def values(self): return self._items
def _norm_path_key(self, key): if self._is_path(key): return normpath(key, case_normalize=True) if isinstance(key, tuple): return tuple(self._norm_path_key(k) for k in key) return key def _is_path(self, key): return isinstance(key, str) and os.path.isabs(key) and os.path.exists(key)