def test_signature_help_integrated(
language_server_io: ILanguageServerClient, ws_root_path, data_regression
):
from robocorp_ls_core.workspace import Document
language_server = language_server_io
language_server.initialize(ws_root_path, process_id=os.getpid())
uri = "untitled:Untitled-1"
txt = """
*** Test Cases ***
Log It
Log """
doc = Document("", txt)
language_server.open_doc(uri, 1, txt)
line, col = doc.get_last_line_col()
ret = language_server.request_signature_help(uri, line, col)
result = ret["result"]
signatures = result["signatures"]
# Don't check the signature documentation in the data regression so that the
# test doesn't become brittle.
docs = signatures[0].pop("documentation")
assert "Log" in docs
data_regression.check(result)
def test_variables_completions_integrated(
language_server_tcp: ILanguageServerClient, ws_root_path, data_regression
):
from robocorp_ls_core.workspace import Document
language_server = language_server_tcp
language_server.initialize(ws_root_path, process_id=os.getpid())
uri = "untitled:Untitled-1"
language_server.open_doc(uri, 1)
contents = """
*** Variables ***
${NAME} Robot Framework
${VERSION} 2.0
${ROBOT} ${NAME} ${VERSION}
*** Test Cases ***
List Variable
Log ${NAME}
Should Contain ${"""
language_server.change_doc(uri, 2, contents)
doc = Document("", source=contents)
line, col = doc.get_last_line_col()
completions = language_server.get_completions(uri, line, col)
del completions["id"]
data_regression.check(completions, "variable_completions")
# Note: for libraries, if we found it, we keep it in memory (so, even though
# we removed the entry, it'll still be accessible).
language_server_tcp.settings({"settings": {"robot": {"variables": {"myvar1": 10}}}})
completions = language_server.get_completions(uri, line, col)
labels = [x["label"] for x in completions["result"]]
assert "${myvar1}" in labels
def test_hover_browser_integration(
language_server_initialized: IRobocorpLanguageServerClient,
cases: CasesFixture):
from robocorp_ls_core.workspace import Document
client = language_server_initialized
uri = "x/y/locators.json"
txt = """
"Browser.Locator.01": {
"screenshot": "iVBORw0KGgoAAAANSUhEUgAAACgAAAA" """
doc = Document("", txt)
client.open_doc(uri, 1, txt)
line, col = doc.get_last_line_col()
ret = client.hover(uri, line, col)
assert ret["result"] == {
"contents": {
"kind":
"markdown",
"value":
"",
},
"range": {
"start": {
"line": 2,
"character": 56
},
"end": {
"line": 2,
"character": 56
},
},
}
def test_keyword_completions_params_complete_existing_no_chars_with_empty_new_line_after(
check):
from robocorp_ls_core.workspace import Document
base = CASE_TEMPLATE + " arg2=10 "
doc = Document("", base)
line, col = doc.get_last_line_col()
check(base + "\n ", line_col=(line, col))
def test_robotframework_integrated_completions(rf_configured_api, rf_root):
from robocorp_ls_core import uris
from robocorp_ls_core.workspace import Document
api = rf_configured_api
doc_uri = uris.from_fs_path(
str(rf_root / "atest" / "robot" / "cli" / "dryrun" / "args.robot"))
text = """*** Settings ***
Suite Setup Run Tests --dryrun cli/dryrun/args.robot
Resource atest_resource.robot
*** Test Cases ***
Valid positional args
Check Test Case ${TESTNAME}
Too few arguments
Check Test Case ${TESTNAME}
Too few arguments for UK
Check Test Case ${TESTNAME}
Too many arguments
Check Test Case ${TESTNAME}
Valid named args
Check Test Case ${TESTNAME}
Invalid named args
Check Test Case ${TESTNAME}
Ch"""
api.m_text_document__did_open(textDocument={"uri": doc_uri, "text": text})
api.workspace.wait_for_check_done(10)
doc = Document("")
doc.source = text
PRINT_TIMES = False
if PRINT_TIMES:
import time
curtime = time.time()
for i in range(5):
line, col = doc.get_last_line_col()
func = api.m_complete_all(doc_uri, line, col)
assert len(func(monitor=NULL)) > 10
if PRINT_TIMES:
print("Total %s: %.2fs" % (i, time.time() - curtime))
curtime = time.time()
def test_env_variables_resolved_on_completion_integrated(
language_server_tcp: ILanguageServerClient, workspace_dir,
data_regression, cases):
from robocorp_ls_core.workspace import Document
language_server = language_server_tcp
language_server.initialize(workspace_dir, process_id=os.getpid())
uri = "untitled:Untitled-1"
language_server.open_doc(uri, 1)
contents = """*** Settings ***
Library %{ROOT}/directory/my_library.py
*** Keywords ***
Some Keyword
In Lib"""
language_server.change_doc(uri, 2, contents)
# Note: for libraries, if we found it, we keep it in memory (so, even though
# we removed the entry, it'll still be accessible).
language_server_tcp.settings({
"settings": {
"robot": {
"python": {
"env": {
"ROOT": cases.get_path("case_same_basename")
}
}
}
}
})
doc = Document("", source=contents)
line, col = doc.get_last_line_col()
completions = language_server.get_completions(uri, line, col)
data_regression.check(completions)
contents = """*** Settings ***
Library %{ROOT}/directory/my_library.py
*** Keywords ***
Some Keyword
In Lib 2"""
language_server.change_doc(uri, 2, contents)
definitions = language_server.find_definitions(uri, line, col)
found = definitions["result"]
assert len(found) == 1
assert found[0]["uri"].endswith("my_library.py")
def threaded_monaco_completions_from_code_full(
self,
prefix: str,
full_code: str,
position: PositionTypedDict,
uri: str,
indent: str,
monitor: Optional[IMonitor] = None,
):
from robotframework_ls.impl.robot_workspace import RobotDocument
from robotframework_ls.impl.completion_context import CompletionContext
from robocorp_ls_core.workspace import Document
from robotframework_ls.impl import section_completions
from robotframework_ls.impl import snippets_completions
from robotframework_ls.server_api.monaco_conversions import (
convert_to_monaco_completion,
)
from robotframework_ls.impl.completion_context import CompletionType
d = Document(uri, prefix)
last_line, _last_col = d.get_last_line_col()
line = last_line + position["line"]
col = position["character"]
col += len(indent)
document = RobotDocument(uri, full_code)
completion_context = CompletionContext(
document,
line,
col,
config=self.config,
monitor=monitor,
workspace=self.workspace,
)
completion_context.type = CompletionType.shell
completions = self._complete_from_completion_context(completion_context)
completions.extend(section_completions.complete(completion_context))
completions.extend(snippets_completions.complete(completion_context))
return {
"suggestions": [
convert_to_monaco_completion(
c, line_delta=last_line, col_delta=len(indent), uri=uri
)
for c in completions
]
}
def test_hover_image_integration(
language_server_initialized: IRobocorpLanguageServerClient, tmpdir):
from robocorp_ls_core.workspace import Document
from robocorp_code_tests.fixtures import IMAGE_IN_BASE64
import base64
from robocorp_ls_core import uris
locators_json = tmpdir.join("locators.json")
locators_json.write_text("", "utf-8")
imgs_dir = tmpdir.join(".images")
imgs_dir.mkdir()
img1 = imgs_dir.join("img1.png")
with img1.open("wb") as stream:
stream.write(base64.b64decode(IMAGE_IN_BASE64))
client = language_server_initialized
uri = uris.from_fs_path(str(locators_json))
txt = """
"Image.Locator.01": {
"path": ".images/img1.png",
"source": ".images/img1.png" """
doc = Document("", txt)
client.open_doc(uri, 1, txt)
line, col = doc.get_last_line_col()
ret = client.hover(uri, line, col)
result = ret["result"]
value = result["contents"].pop("value")
assert value.startswith("![Screenshot](file://")
assert value.endswith("/.images/img1.png)")
assert ret["result"] == {
"contents": {
"kind": "markdown",
# "value": "",
},
"range": {
"start": {
"line": 3,
"character": 37
},
"end": {
"line": 3,
"character": 37
},
},
}
def test_snippets_completions_integrated(language_server_tcp, ws_root_path,
data_regression):
from robocorp_ls_core.workspace import Document
language_server = language_server_tcp
language_server.initialize(ws_root_path, process_id=os.getpid())
uri = "untitled:Untitled-1"
language_server.open_doc(uri, 1)
contents = """
*** Test Cases ***
List Variable
for in"""
language_server.change_doc(uri, 2, contents)
doc = Document("", source=contents)
line, col = doc.get_last_line_col()
completions = language_server.get_completions(uri, line, col)
del completions["id"]
data_regression.check(completions, "snippet_completions")
def test_robotframework_integrated_go_to_def(rf_configured_api, rf_root):
from robocorp_ls_core import uris
from robocorp_ls_core.workspace import Document
api = rf_configured_api
doc_uri = uris.from_fs_path(
str(rf_root / "atest" / "resources" / "foobar.robot"))
text = """*** Settings ***
Library TestCheckerLibrary"""
api.m_text_document__did_open(textDocument={"uri": doc_uri, "text": text})
doc = Document("")
doc.source = text
line, col = doc.get_last_line_col()
func = api.m_find_definition(doc_uri, line, col)
found = func(monitor=NULL)
assert len(found) == 1
found[0]["uri"].endswith("TestCheckerLibrary.py")
def test_hover_integrated(language_server_io: ILanguageServerClient,
ws_root_path, data_regression):
from robocorp_ls_core.workspace import Document
from robocorp_ls_core.lsp import HoverTypedDict
language_server = language_server_io
language_server.initialize(ws_root_path, process_id=os.getpid())
uri = "untitled:Untitled-1"
txt = """
*** Test Cases ***
Log It
Log """
doc = Document("", txt)
language_server.open_doc(uri, 1, txt)
line, col = doc.get_last_line_col()
ret = language_server.request_hover(uri, line, col)
result: HoverTypedDict = ret["result"]
contents = result["contents"]
assert "Log" in contents["value"]
assert contents["kind"] == "markdown"
def test_rf_interactive_integrated_fs_completions(
language_server_io: ILanguageServerClient,
rf_interpreter_startup: _RfInterpreterInfo,
data_regression,
):
from robocorp_ls_core import uris
from robocorp_ls_core.workspace import Document
# Check that we're able to get completions based on the current dir.
from robotframework_ls.commands import ROBOT_INTERNAL_RFINTERACTIVE_COMPLETIONS
from robocorp_ls_core.lsp import Position
uri = rf_interpreter_startup.uri
fs_path = uris.to_fs_path(uri)
dirname = os.path.dirname(fs_path)
with open(os.path.join(dirname, "my_lib_03.py"), "w") as stream:
stream.write("""
def some_method():
pass
""")
language_server = language_server_io
code = "*** Settings ***\nLibrary ./my_"
doc = Document(uri, code)
completions = language_server.execute_command(
ROBOT_INTERNAL_RFINTERACTIVE_COMPLETIONS,
[{
"interpreter_id": rf_interpreter_startup.interpreter_id,
"code": code,
"position": Position(*doc.get_last_line_col()).to_dict(),
}],
)
suggestions = completions["result"]["suggestions"]
assert suggestions
data_regression.check(suggestions)
def request_completion():
doc = Document("", source=contents)
line, col = doc.get_last_line_col()
completions = language_server.get_completions(uri, line, col)
del completions["id"]
return completions
