def test_keyword_completions_library_prefix(
workspace, libspec_manager, data_regression
):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root("case4", libspec_manager=libspec_manager)
doc = workspace.get_doc("case4.robot")
doc.source = """*** Settings ***
Library String
Library Collections
Resource case4resource.txt
*** Test Cases ***
Test
case4resource3."""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
data_regression.check(
completions, basename="test_keyword_completions_library_prefix_1"
)
doc.source = """*** Settings ***
Library String
Library Collections
Resource case4resource.txt
*** Test Cases ***
Test
case4resource3.Another"""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
data_regression.check(
completions, basename="test_keyword_completions_library_prefix_2"
)
doc.source = """*** Settings ***
Library Collections
*** Test Cases ***
Test
Collections.Append To Lis"""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
assert [completion["label"] for completion in completions] == ["Append To List"]
def _threaded_complete_all(self, doc_uri, line, col, monitor: IMonitor):
from robotframework_ls.impl import section_name_completions
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl import variable_completions
from robotframework_ls.impl import filesystem_section_completions
from robotframework_ls.impl import keyword_parameter_completions
completion_context = self._create_completion_context(
doc_uri, line, col, monitor)
if completion_context is None:
return []
ret = section_name_completions.complete(completion_context)
if not ret:
ret.extend(
filesystem_section_completions.complete(completion_context))
if not ret:
ret.extend(keyword_completions.complete(completion_context))
if not ret:
ret.extend(variable_completions.complete(completion_context))
if not ret:
ret.extend(
keyword_parameter_completions.complete(completion_context))
return ret
def test_keyword_completions_template(workspace, libspec_manager):
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.impl import keyword_completions
workspace.set_root("case2", libspec_manager=libspec_manager)
doc = workspace.get_doc("case2.robot")
doc.source = """
*** Keywords ***
My Equal Redefined
[Arguments] ${arg1} ${arg2}
Should Be Equal ${arg1} ${arg2}
*** Settings ***
Test Template my eq"""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
found = [
completion["label"]
for completion in completions
if completion["label"].lower() == "my equal redefined"
]
assert len(found) == 1
def test_keyword_completions_format(workspace, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.robot_config import RobotConfig
from robotframework_ls.impl.robot_lsp_constants import (
OPTION_ROBOT_COMPLETION_KEYWORDS_FORMAT,
OPTION_ROBOT_COMPLETION_KEYWORDS_FORMAT_FIRST_UPPER,
)
workspace.set_root("case1", libspec_manager=libspec_manager)
doc = workspace.get_doc("case1.robot")
doc.source = doc.source + "\n should be"
config = RobotConfig()
config.update({
OPTION_ROBOT_COMPLETION_KEYWORDS_FORMAT:
OPTION_ROBOT_COMPLETION_KEYWORDS_FORMAT_FIRST_UPPER
})
assert (config.get_setting(
OPTION_ROBOT_COMPLETION_KEYWORDS_FORMAT, str,
"") == OPTION_ROBOT_COMPLETION_KEYWORDS_FORMAT_FIRST_UPPER)
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws, config=config))
assert sorted([comp["label"] for comp in completions]) == [
"Length should be",
"Should be empty",
"Should be equal",
"Should be equal as integers",
"Should be equal as numbers",
"Should be equal as strings",
"Should be true",
]
def test_keyword_completions_resource_does_not_exist(workspace,
libspec_manager,
data_regression):
from robotframework_ls.robot_config import RobotConfig
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root("case4", libspec_manager=libspec_manager)
doc = workspace.get_doc("case4.robot")
doc.source = """*** Settings ***
Library DoesNotExist
Library .
Library ..
Library ../
Resource does_not_exist.txt
Resource ${foo}/does_not_exist.txt
Resource ../does_not_exist.txt
Resource .
Resource ..
Resource ../
Resource ../../does_not_exist.txt
Resource case4resource.txt
*** Test Cases ***
Test
case4resource3."""
config = RobotConfig()
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws, config=config))
data_regression.check(completions)
def test_typing_not_shown(libspec_manager, workspace, data_regression,
workspace_dir):
from robocorp_ls_core import uris
from os.path import os
from robotframework_ls_tests.fixtures import LIBSPEC_3
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robocorp_ls_core.lsp import TextDocumentItem
workspace_dir_a = os.path.join(workspace_dir, "workspace_dir_a")
os.makedirs(workspace_dir_a)
with open(os.path.join(workspace_dir_a, "my.libspec"), "w") as stream:
stream.write(LIBSPEC_3)
libspec_manager.add_workspace_folder(uris.from_fs_path(workspace_dir_a))
assert libspec_manager.get_library_info("case3_library",
create=False) is not None
workspace.set_root(workspace_dir, libspec_manager=libspec_manager)
doc = workspace.ws.put_document(TextDocumentItem("temp_doc.robot",
text=""))
doc.source = """*** Settings ***
Library case3_library
*** Test Cases ***
Can use resource keywords
Case Verify"""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
data_regression.check(completions)
def m_keyword_complete(self, doc_uri, line, col):
from robotframework_ls.impl import keyword_completions
completion_context = self._create_completion_context(doc_uri, line, col, None)
if completion_context is None:
return []
return keyword_completions.complete(completion_context)
def test_keyword_completions_directory_separator(workspace, libspec_manager,
use_config, separator):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.robot_config import RobotConfig
import sys
if sys.platform != "win32" and separator == "\\":
return
workspace.set_root("case_inner_keywords", libspec_manager=libspec_manager)
doc = workspace.get_doc("case_root.robot")
doc.source = f"""
*** Settings ***
Resource inner{separator}case_inner.robot
*** Test Cases ***
Testing Completion Here
Check with ke"""
if use_config:
config = RobotConfig()
else:
config = None
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws, config=config))
assert sorted([comp["label"] for comp in completions
]) == ["Check with keyword at inner"]
def test_keyword_completions_respect_pythonpath(workspace, cases,
libspec_manager,
data_regression):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.robot_config import RobotConfig
from robotframework_ls.impl.robot_lsp_constants import OPTION_ROBOT_PYTHONPATH
case4_path = cases.get_path("case4")
# Note how we are accessing case4resource.txt while the workspace is set for case3.
config = RobotConfig()
config.update({"robot": {"pythonpath": [case4_path]}})
assert config.get_setting(OPTION_ROBOT_PYTHONPATH, list,
[]) == [case4_path]
libspec_manager.config = config
workspace.set_root(cases.get_path("case3"),
libspec_manager=libspec_manager)
doc = workspace.get_doc("case3.robot")
doc.source = """*** Settings ***
Resource case4resource.txt
*** Test Cases ***
Can use resource keywords
[Documentation] Checks that we can have a resource
... including another resource.
My Equal Redefined 2 2
Yet Another Equ"""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws, config=config))
data_regression.check(completions)
def test_keyword_completions_from_resource_files(data_regression, workspace,
tmpdir, cases,
libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.impl.robot_lsp_constants import OPTION_ROBOT_VARIABLES
from robotframework_ls.robot_config import RobotConfig
config = RobotConfig()
config.update(
{"robot": {
"variables": {
"ext_folder": cases.get_path("ext")
}
}})
assert config.get_setting(OPTION_ROBOT_VARIABLES, dict, {}) == {
"ext_folder": cases.get_path("ext")
}
workspace.set_root(cases.get_path("case3"),
libspec_manager=libspec_manager)
doc = workspace.get_doc("case3.robot")
doc.source = doc.source + "\n equal redef"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws, config=config))
data_regression.check(completions,
basename="keyword_completions_from_resource_files")
def test_keyword_completions_builtin_after_space_before_newline(
workspace, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root("case1", libspec_manager=libspec_manager)
doc = workspace.get_doc("case1.robot")
doc.source = doc.source + "\n should be \n"
line, _col = doc.get_last_line_col()
line_contents = doc.get_line(line - 1)
completions = keyword_completions.complete(
CompletionContext(doc,
workspace=workspace.ws,
line=line - 1,
col=len(line_contents)))
assert sorted([comp["label"] for comp in completions]) == [
"Length Should Be",
"Should Be Empty",
"Should Be Equal",
"Should Be Equal As Integers",
"Should Be Equal As Numbers",
"Should Be Equal As Strings",
"Should Be True",
]
def test_keyword_completions_changes_user_library(
data_regression, workspace, cases, libspec_manager, workspace_dir
):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
import time
from os.path import os
cases.copy_to("case1", workspace_dir)
workspace.set_root(workspace_dir, libspec_manager=libspec_manager)
doc = workspace.get_doc("case1.robot")
doc.source = doc.source + "\n verify"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
data_regression.check(completions, basename="test_keyword_completions_changes_user_library")
time.sleep(1) # Make sure that the mtime changes enough in the filesystem
library_py = os.path.join(workspace_dir, "case1_library.py")
with open(library_py, "r") as stream:
contents = stream.read()
contents += """
def verify_changes(model=10):
pass
"""
with open(library_py, "w") as stream:
stream.write(contents)
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
assert sorted(completion["label"] for completion in completions) == [
"Verify Another Model",
"Verify Changes",
"Verify Model",
]
def test_keyword_completions_user_library(
data_regression, workspace, tmpdir, cases, libspec_manager, library_import
):
import os.path
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls_tests.fixtures import LIBSPEC_1
from robotframework_ls import uris
workspace_dir = str(tmpdir.join("workspace"))
cases.copy_to("case1", workspace_dir)
workspace.set_root(workspace_dir, libspec_manager=libspec_manager)
doc = workspace.get_doc("case1.robot")
if library_import == "__FULL_PATH__":
case1_robot_path = uris.to_fs_path(doc.uri)
case1_py_path = os.path.join(
os.path.dirname(case1_robot_path), "case1_library.py"
)
library_import = case1_py_path
doc.source = doc.source.replace("case1_library", library_import)
doc.source = doc.source + "\n verify"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
data_regression.check(completions, basename="keyword_completions_1")
# Now, let's put a .libspec file in the workspace and check whether
# it has priority over the auto-generated spec file.
with open(os.path.join(workspace_dir, "new_spec.libspec"), "w") as stream:
stream.write(LIBSPEC_1)
libspec_manager.synchronize_workspace_folders()
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws)
)
data_regression.check(completions, basename="keyword_completions_2_new")
def test_keyword_completions_circular_imports(workspace, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root("case_circular", libspec_manager=libspec_manager)
doc = workspace.get_doc("main.robot")
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
assert sorted([comp["label"] for comp in completions]) == [
"My Keyword 1",
"My Keyword 2",
]
def m_complete_all(self, doc_uri, line, col):
from robotframework_ls.impl import section_name_completions
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl import variable_completions
completion_context = self._create_completion_context(doc_uri, line, col)
if completion_context is None:
return []
ret = section_name_completions.complete(completion_context)
ret.extend(keyword_completions.complete(completion_context))
ret.extend(variable_completions.complete(completion_context))
return ret
def test_keyword_completions_user_in_robot_file(data_regression, workspace,
cases, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root(cases.get_path("case2"),
libspec_manager=libspec_manager)
doc = workspace.get_doc("case2.robot")
doc.source = doc.source + "\n my equ"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
data_regression.check(completions,
basename="keyword_completions_user_in_robot_file")
def test_keyword_completions_case1(data_regression, workspace, cases,
libspec_manager, workspace_dir):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
cases.copy_to("case1", workspace_dir)
workspace.set_root(workspace_dir, libspec_manager=libspec_manager)
doc = workspace.get_doc("case1.robot")
doc.source = doc.source + "\n case1_library."
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
data_regression.check(completions, basename="keyword_completions_1_all")
def test_keyword_completions_from_recursively_included_resource_files(
data_regression, workspace, cases, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root(cases.get_path("case4"),
libspec_manager=libspec_manager)
doc = workspace.get_doc("case4.robot")
doc.source = doc.source + "\n equal redef"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
data_regression.check(
completions,
basename="keyword_completions_from_recursively_resource_files")
def _threaded_complete_all(self, doc_uri, line, col, monitor: IMonitor):
from robotframework_ls.impl import section_name_completions
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl import variable_completions
from robotframework_ls.impl import filesystem_section_completions
from robotframework_ls.impl import keyword_parameter_completions
from robotframework_ls.impl import auto_import_completions
from robotframework_ls.impl.collect_keywords import (
collect_keyword_name_to_keyword_found,
)
from robotframework_ls.impl import ast_utils
completion_context = self._create_completion_context(
doc_uri, line, col, monitor
)
if completion_context is None:
return []
ret = section_name_completions.complete(completion_context)
if not ret:
ret.extend(filesystem_section_completions.complete(completion_context))
if not ret:
token_info = completion_context.get_current_token()
if token_info is not None:
token = ast_utils.get_keyword_name_token(
token_info.node, token_info.token
)
if token is not None:
keyword_name_to_keyword_found: Dict[
str, List[IKeywordFound]
] = collect_keyword_name_to_keyword_found(completion_context)
ret.extend(keyword_completions.complete(completion_context))
ret.extend(
auto_import_completions.complete(
completion_context, keyword_name_to_keyword_found
)
)
return ret
if not ret:
ret.extend(variable_completions.complete(completion_context))
if not ret:
ret.extend(keyword_parameter_completions.complete(completion_context))
return ret
def test_keyword_completions_settings_fixture(workspace, libspec_manager):
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.impl import keyword_completions
workspace.set_root("case2", libspec_manager=libspec_manager)
doc = workspace.get_doc("case2.robot")
doc.source = doc.source + "\n*** Keywords ***\nTeardown my_Equal red"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
found = [
completion["label"] for completion in completions
if completion["label"].lower() == "my equal redefined"
]
assert len(found) == 1
def test_keyword_completions_bdd_prefix(workspace, libspec_manager,
data_regression):
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.impl import keyword_completions
workspace.set_root("case2", libspec_manager=libspec_manager)
doc = workspace.get_doc("case2.robot")
doc.source = doc.source + "\n*** Keywords ***\nTeardown WHEN my_Equal red"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
found = [
completion for completion in completions
if completion["label"].lower() == "my equal redefined"
]
data_regression.check(found)
def _complete_from_completion_context(self, completion_context):
from robotframework_ls.impl import section_name_completions
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl import variable_completions
from robotframework_ls.impl import dictionary_completions
from robotframework_ls.impl import filesystem_section_completions
from robotframework_ls.impl import keyword_parameter_completions
from robotframework_ls.impl import auto_import_completions
from robotframework_ls.impl.collect_keywords import (
collect_keyword_name_to_keyword_found,
)
from robotframework_ls.impl import ast_utils
ret = section_name_completions.complete(completion_context)
if not ret:
ret.extend(filesystem_section_completions.complete(completion_context))
if not ret:
token_info = completion_context.get_current_token()
if token_info is not None:
token = ast_utils.get_keyword_name_token(
token_info.node, token_info.token
)
if token is not None:
keyword_name_to_keyword_found: Dict[
str, List[IKeywordFound]
] = collect_keyword_name_to_keyword_found(completion_context)
ret.extend(keyword_completions.complete(completion_context))
ret.extend(
auto_import_completions.complete(
completion_context, keyword_name_to_keyword_found
)
)
return ret
if not ret:
ret.extend(variable_completions.complete(completion_context))
if not ret:
ret.extend(dictionary_completions.complete(completion_context))
if not ret:
ret.extend(keyword_parameter_completions.complete(completion_context))
return ret
def test_keyword_completions_with_stmt(workspace, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root("case4", libspec_manager=libspec_manager)
doc = workspace.get_doc("case4.robot")
doc.source = """*** Settings ***
Library Collections WITH NAME Col1
*** Test Cases ***
Test
Col1.Append To Lis"""
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
assert [completion["label"]
for completion in completions] == ["Append To List"]
def test_keyword_completions_builtin(workspace, libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root("case1", libspec_manager=libspec_manager)
doc = workspace.get_doc("case1.robot")
doc.source = doc.source + "\n should be"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
assert sorted([comp["label"] for comp in completions]) == [
"Length Should Be",
"Should Be Empty",
"Should Be Equal",
"Should Be Equal As Integers",
"Should Be Equal As Numbers",
"Should Be Equal As Strings",
"Should Be True",
]
def test_simple(workspace, libspec_manager, cases):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
from robotframework_ls.robot_config import RobotConfig
from robotframework_ls.impl.robot_lsp_constants import OPTION_ROBOT_PYTHONPATH
workspace.set_root("case_params_on_lib", libspec_manager=libspec_manager)
caseroot = cases.get_path("case_params_on_lib")
config = RobotConfig()
config.update({"robot": {"pythonpath": [caseroot]}})
assert config.get_setting(OPTION_ROBOT_PYTHONPATH, list, []) == [caseroot]
libspec_manager.config = config
doc = workspace.get_doc("case_params_on_lib.robot")
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
assert sorted([comp["label"] for comp in completions]) == ["Some Method"]
def test_keyword_completions_builtin_duplicated(workspace, cases,
libspec_manager):
from robotframework_ls.impl import keyword_completions
from robotframework_ls.impl.completion_context import CompletionContext
workspace.set_root(cases.get_path("case4"),
libspec_manager=libspec_manager)
doc = workspace.get_doc("case4.robot")
doc.source = doc.source + "\n should be equal"
completions = keyword_completions.complete(
CompletionContext(doc, workspace=workspace.ws))
found = [
completion["label"] for completion in completions
if completion["label"].lower() == "should be equal"
]
assert len(found) == 1