class RobocorpLanguageServer(PythonLanguageServer):
CLOUD_LIST_WORKSPACE_CACHE_KEY = "CLOUD_LIST_WORKSPACE_CACHE"
PACKAGE_ACCESS_LRU_CACHE_KEY = "PACKAGE_ACCESS_LRU_CACHE"
def __init__(self, read_stream, write_stream):
from robocorp_code.rcc import Rcc
from robocorp_ls_core.cache import DirCache
user_home = os.getenv("ROBOCORP_CODE_USER_HOME", None)
if user_home is None:
user_home = os.path.expanduser("~")
cache_dir = os.path.join(user_home, ".robocorp-code", ".cache")
log.debug(f"Cache dir: {cache_dir}")
self._dir_cache = DirCache(cache_dir)
self._rcc = Rcc(self)
PythonLanguageServer.__init__(self, read_stream, write_stream)
@overrides(PythonLanguageServer.cancel_lint)
def cancel_lint(self, doc_uri):
pass # no-op
@overrides(PythonLanguageServer.lint)
def lint(self, doc_uri, is_saved):
pass # no-op
@overrides(PythonLanguageServer._create_config)
def _create_config(self) -> IConfig:
from robocorp_code.robocorp_config import RobocorpConfig
return RobocorpConfig()
@overrides(PythonLanguageServer.capabilities)
def capabilities(self):
from robocorp_ls_core.lsp import TextDocumentSyncKind
from robocorp_code.commands import ALL_SERVER_COMMANDS
server_capabilities = {
"codeActionProvider": False,
# "codeLensProvider": {
# "resolveProvider": False, # We may need to make this configurable
# },
"completionProvider": {
"resolveProvider": False # We know everything ahead of time
},
"documentFormattingProvider": False,
"documentHighlightProvider": False,
"documentRangeFormattingProvider": False,
"documentSymbolProvider": False,
"definitionProvider": True,
"executeCommandProvider": {
"commands": ALL_SERVER_COMMANDS
},
"hoverProvider": False,
"referencesProvider": False,
"renameProvider": False,
"foldingRangeProvider": False,
"textDocumentSync": {
"change": TextDocumentSyncKind.INCREMENTAL,
"save": {
"includeText": False
},
"openClose": True,
},
"workspace": {
"workspaceFolders": {
"supported": True,
"changeNotifications": True
}
},
}
log.info("Server capabilities: %s", server_capabilities)
return server_capabilities
def m_workspace__execute_command(self, command=None, arguments=()) -> Any:
return command_dispatcher.dispatch(self, command, arguments)
@command_dispatcher(commands.ROBOCORP_IS_LOGIN_NEEDED_INTERNAL)
def _is_login_needed_internal(self) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
with progress_context(self._endpoint, "Validating cloud credentials",
self._dir_cache):
login_needed = not self._rcc.credentials_valid()
return {
"success": login_needed,
"message": None,
"result": login_needed
}
@command_dispatcher(commands.ROBOCORP_CLOUD_LOGIN_INTERNAL)
def _cloud_login(self, params: CloudLoginParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
# When new credentials are added we need to remove existing caches.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
credentials = params["credentials"]
with progress_context(self._endpoint, "Adding cloud credentials",
self._dir_cache):
result = self._rcc.add_credentials(credentials)
if not result.success:
return result.as_dict()
result = self._rcc.credentials_valid()
return {"success": result, "message": None, "result": result}
def _get_sort_key_info(self):
try:
cache_lru_list: List[PackageInfoInLRUDict] = self._dir_cache.load(
self.PACKAGE_ACCESS_LRU_CACHE_KEY, list)
except KeyError:
cache_lru_list = []
DEFAULT_SORT_KEY = 10
ws_id_and_pack_id_to_lru_index: Dict = {}
for i, entry in enumerate(cache_lru_list):
if i >= DEFAULT_SORT_KEY:
break
if isinstance(entry, dict):
ws_id = entry.get("workspace_id")
pack_id = entry.get("package_id")
if ws_id is not None and pack_id is not None:
key = (ws_id, pack_id)
ws_id_and_pack_id_to_lru_index[key] = i
return ws_id_and_pack_id_to_lru_index
@command_dispatcher(commands.ROBOCORP_CLOUD_LIST_WORKSPACES_INTERNAL)
def _cloud_list_workspaces(
self,
params: CloudListWorkspaceDict) -> ListWorkspacesActionResultDict:
from robocorp_ls_core.progress_report import progress_context
DEFAULT_SORT_KEY = 10
package_info: PackageInfoDict
ws_dict: WorkspaceInfoDict
ws_id_and_pack_id_to_lru_index = self._get_sort_key_info()
if not params.get("refresh", True):
try:
cached: List[WorkspaceInfoDict] = self._dir_cache.load(
self.CLOUD_LIST_WORKSPACE_CACHE_KEY, list)
except KeyError:
pass
else:
# We need to update the sort key when it's gotten from the cache.
try:
for ws_dict in cached:
for package_info in ws_dict["packages"]:
key = (package_info["workspaceId"],
package_info["id"])
sort_key = "%05d%s" % (
ws_id_and_pack_id_to_lru_index.get(
key, DEFAULT_SORT_KEY),
package_info["name"].lower(),
)
package_info["sortKey"] = sort_key
return {"success": True, "message": None, "result": cached}
except Exception:
log.exception(
"Error computing new sort keys for cached entry. Refreshing and proceeding."
)
with progress_context(self._endpoint, "Listing cloud workspaces",
self._dir_cache):
ws: IRccWorkspace
ret: List[WorkspaceInfoDict] = []
result = self._rcc.cloud_list_workspaces()
if not result.success:
return result.as_dict()
workspaces = result.result
for ws in workspaces:
packages: List[PackageInfoDict] = []
activity_package: IRccRobotMetadata
activities_result = self._rcc.cloud_list_workspace_robots(
ws.workspace_id)
if not activities_result.success:
return activities_result.as_dict()
workspace_activities = activities_result.result
for activity_package in workspace_activities:
key = (ws.workspace_id, activity_package.robot_id)
sort_key = "%05d%s" % (
ws_id_and_pack_id_to_lru_index.get(
key, DEFAULT_SORT_KEY),
activity_package.robot_name.lower(),
)
package_info = {
"name": activity_package.robot_name,
"id": activity_package.robot_id,
"sortKey": sort_key,
"workspaceId": ws.workspace_id,
"workspaceName": ws.workspace_name,
}
packages.append(package_info)
ws_dict = {
"workspaceName": ws.workspace_name,
"workspaceId": ws.workspace_id,
"packages": packages,
}
ret.append(ws_dict)
if ret: # Only store if we got something.
self._dir_cache.store(self.CLOUD_LIST_WORKSPACE_CACHE_KEY, ret)
return {"success": True, "message": None, "result": ret}
@command_dispatcher(commands.ROBOCORP_CREATE_ROBOT_INTERNAL)
def _create_robot(self, params: CreateRobotParamsDict) -> ActionResultDict:
directory = params["directory"]
template = params["template"]
name = params["name"]
return self._rcc.create_robot(template, os.path.join(directory,
name)).as_dict()
@command_dispatcher(commands.ROBOCORP_LIST_ROBOT_TEMPLATES_INTERNAL)
def _list_activity_templates(self, params=None) -> ActionResultDict:
result = self._rcc.get_template_names()
return result.as_dict()
def _get_robot_metadata(self,
sub: Path) -> Optional[LocalRobotMetadataInfoDict]:
robot_yaml = sub / "robot.yaml"
if robot_yaml.exists():
# Let's try to get the name from the yaml, if it's
# not there, use the folder name.
name = sub.name
from robocorp_ls_core import yaml_wrapper
try:
with robot_yaml.open("r", encoding="utf-8") as stream:
yaml_contents = yaml_wrapper.load(stream)
name = yaml_contents.get("name", name)
except:
log.exception("Unable to get Robot name for: %s", robot_yaml)
folder_info: LocalRobotMetadataInfoDict = {
"directory": str(sub),
"name": name,
}
return folder_info
return None
@command_dispatcher(commands.ROBOCORP_LOCAL_LIST_ROBOTS_INTERNAL)
def _local_list_robots(self, params=None) -> ActionResultDict:
ret: List[LocalRobotMetadataInfoDict] = []
try:
ws = self.workspace
if ws:
for folder_path in ws.get_folder_paths():
# Check the root directory itself for the robot.yaml.
p = Path(folder_path)
robot_metadata = self._get_robot_metadata(p)
if robot_metadata is not None:
ret.append(robot_metadata)
elif p.is_dir():
for sub in p.iterdir():
robot_metadata = self._get_robot_metadata(sub)
if robot_metadata is not None:
ret.append(robot_metadata)
ret.sort(key=lambda dct: dct["name"])
except Exception as e:
log.exception("Error listing robots.")
return dict(success=False, message=str(e), result=None)
return dict(success=True, message=None, result=ret)
def _validate_directory(self, directory) -> Optional[str]:
if not os.path.exists(directory):
return f"Expected: {directory} to exist."
if not os.path.isdir(directory):
return f"Expected: {directory} to be a directory."
return None
def _add_package_info_to_access_lru(self, workspace_id, package_id,
directory):
import time
try:
lst: List[PackageInfoInLRUDict] = self._dir_cache.load(
self.PACKAGE_ACCESS_LRU_CACHE_KEY, list)
except KeyError:
lst = []
new_lst: List[PackageInfoInLRUDict] = [{
"workspace_id": workspace_id,
"package_id": package_id,
"directory": directory,
"time": time.time(),
}]
for i, entry in enumerate(lst):
if isinstance(entry, dict):
if (entry.get("package_id") == package_id
and entry.get("workspace_id") == workspace_id):
continue # Skip this one (we moved it to the start of the LRU).
new_lst.append(entry)
if i == 5:
break # Max number of items in the LRU reached.
self._dir_cache.store(self.PACKAGE_ACCESS_LRU_CACHE_KEY, new_lst)
@command_dispatcher(commands.ROBOCORP_UPLOAD_TO_EXISTING_ROBOT_INTERNAL)
def _upload_to_existing_activity(
self, params: UploadRobotParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
directory = params["directory"]
error_msg = self._validate_directory(directory)
if error_msg:
return {"success": False, "message": error_msg, "result": None}
workspace_id = params["workspaceId"]
robot_id = params["robotId"]
with progress_context(self._endpoint, "Uploading to existing robot",
self._dir_cache):
result = self._rcc.cloud_set_robot_contents(
directory, workspace_id, robot_id)
self._add_package_info_to_access_lru(workspace_id, robot_id,
directory)
return result.as_dict()
@command_dispatcher(commands.ROBOCORP_UPLOAD_TO_NEW_ROBOT_INTERNAL)
def _upload_to_new_robot(
self, params: UploadNewRobotParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
directory = params["directory"]
error_msg = self._validate_directory(directory)
if error_msg:
return {"success": False, "message": error_msg, "result": None}
workspace_id = params["workspaceId"]
robot_name = params["robotName"]
# When we upload to a new activity, clear the existing cache key.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
with progress_context(self._endpoint, "Uploading to new robot",
self._dir_cache):
new_robot_result = self._rcc.cloud_create_robot(
workspace_id, robot_name)
if not new_robot_result.success:
return new_robot_result.as_dict()
robot_id = new_robot_result.result
if not robot_id:
return dict(
success=False,
message=
"Expected to have package id from creating new activity.",
result=None,
)
result = self._rcc.cloud_set_robot_contents(
directory, workspace_id, robot_id)
self._add_package_info_to_access_lru(workspace_id, robot_id,
directory)
return result.as_dict()
@command_dispatcher(commands.ROBOCORP_GET_PLUGINS_DIR, str)
def _get_plugins_dir(self, params=None) -> str:
return str(Path(__file__).parent / "plugins")
class RobocorpLanguageServer(PythonLanguageServer):
# V2: save the account info along to validate user.
CLOUD_LIST_WORKSPACE_CACHE_KEY = "CLOUD_LIST_WORKSPACE_CACHE_V2"
PACKAGE_ACCESS_LRU_CACHE_KEY = "PACKAGE_ACCESS_LRU_CACHE"
def __init__(self, read_stream, write_stream):
from robocorp_code.rcc import Rcc
from robocorp_ls_core.cache import DirCache
from robocorp_ls_core.pluginmanager import PluginManager
from robocorp_ls_core.ep_providers import DefaultConfigurationProvider
from robocorp_ls_core.ep_providers import EPConfigurationProvider
from robocorp_ls_core.ep_providers import DefaultDirCacheProvider
from robocorp_ls_core.ep_providers import EPDirCacheProvider
from robocorp_ls_core.ep_providers import DefaultEndPointProvider
from robocorp_ls_core.ep_providers import EPEndPointProvider
user_home = os.getenv("ROBOCORP_CODE_USER_HOME", None)
if user_home is None:
user_home = os.path.expanduser("~")
cache_dir = os.path.join(user_home, ".robocorp-code", ".cache")
log.debug(f"Cache dir: {cache_dir}")
self._dir_cache = DirCache(cache_dir)
self._rcc = Rcc(self)
self._track = True
self._local_list_robots_cache: Dict[
Path, CachedFileInfo[LocalRobotMetadataInfoDict]
] = {}
PythonLanguageServer.__init__(self, read_stream, write_stream)
self._pm = PluginManager()
self._config_provider = DefaultConfigurationProvider(self.config)
self._pm.set_instance(EPConfigurationProvider, self._config_provider)
self._pm.set_instance(
EPDirCacheProvider, DefaultDirCacheProvider(self._dir_cache)
)
self._pm.set_instance(
EPEndPointProvider, DefaultEndPointProvider(self._endpoint)
)
from robocorp_code.plugins.resolve_interpreter import register_plugins
register_plugins(self._pm)
@overrides(PythonLanguageServer.m_initialize)
def m_initialize(
self,
processId=None,
rootUri=None,
rootPath=None,
initializationOptions=None,
workspaceFolders=None,
**_kwargs,
) -> dict:
ret = PythonLanguageServer.m_initialize(
self,
processId=processId,
rootUri=rootUri,
rootPath=rootPath,
initializationOptions=initializationOptions,
workspaceFolders=workspaceFolders,
)
if initializationOptions and isinstance(initializationOptions, dict):
self._track = not initializationOptions.get("do-not-track", False)
from robocorp_code import __version__
self._feedback_metric("vscode.started", __version__)
return ret
def _feedback_metric(self, name, value="+1"):
if not self._track:
return
from robocorp_ls_core.timeouts import TimeoutTracker
timeout_tracker = TimeoutTracker.get_singleton()
timeout_tracker.call_on_timeout(
0.1, partial(self._rcc.feedack_metric, name, value)
)
@overrides(PythonLanguageServer.cancel_lint)
def cancel_lint(self, doc_uri):
pass # no-op
@overrides(PythonLanguageServer.lint)
def lint(self, doc_uri, is_saved):
pass # no-op
@overrides(PythonLanguageServer._create_config)
def _create_config(self) -> IConfig:
from robocorp_code.robocorp_config import RobocorpConfig
return RobocorpConfig()
@overrides(PythonLanguageServer.capabilities)
def capabilities(self):
from robocorp_ls_core.lsp import TextDocumentSyncKind
from robocorp_code.commands import ALL_SERVER_COMMANDS
server_capabilities = {
"codeActionProvider": False,
# "codeLensProvider": {
# "resolveProvider": False, # We may need to make this configurable
# },
"completionProvider": {
"resolveProvider": False # We know everything ahead of time
},
"documentFormattingProvider": False,
"documentHighlightProvider": False,
"documentRangeFormattingProvider": False,
"documentSymbolProvider": False,
"definitionProvider": True,
"executeCommandProvider": {"commands": ALL_SERVER_COMMANDS},
"hoverProvider": False,
"referencesProvider": False,
"renameProvider": False,
"foldingRangeProvider": False,
"textDocumentSync": {
"change": TextDocumentSyncKind.INCREMENTAL,
"save": {"includeText": False},
"openClose": True,
},
"workspace": {
"workspaceFolders": {"supported": True, "changeNotifications": True}
},
}
log.info("Server capabilities: %s", server_capabilities)
return server_capabilities
def m_workspace__execute_command(self, command=None, arguments=()) -> Any:
return command_dispatcher.dispatch(self, command, arguments)
@command_dispatcher(commands.ROBOCORP_IS_LOGIN_NEEDED_INTERNAL)
def _is_login_needed_internal(self) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
with progress_context(
self._endpoint, "Validating cloud credentials", self._dir_cache
):
login_needed = not self._rcc.credentials_valid()
return {"success": login_needed, "message": None, "result": login_needed}
@command_dispatcher(commands.ROBOCORP_CLOUD_LOGIN_INTERNAL)
def _cloud_login(self, params: CloudLoginParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.login")
# When new credentials are added we need to remove existing caches.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
credentials = params["credentials"]
with progress_context(
self._endpoint, "Adding cloud credentials", self._dir_cache
):
result = self._rcc.add_credentials(credentials)
if not result.success:
return result.as_dict()
result = self._rcc.credentials_valid()
return {"success": result, "message": None, "result": result}
@command_dispatcher(commands.ROBOCORP_SAVE_IN_DISK_LRU)
def _save_in_disk_lru(self, params: dict) -> ActionResultDict:
name = params["name"]
entry = params["entry"]
lru_size = params["lru_size"]
try:
cache_lru_list = self._dir_cache.load(name, list)
except:
cache_lru_list = []
try:
if cache_lru_list[0] == entry:
# Nothing to do as it already matches.
return {"success": True, "message": "", "result": entry}
cache_lru_list.remove(entry)
except:
pass # If empty or if entry is not there, just proceed.
if len(cache_lru_list) >= lru_size:
cache_lru_list = cache_lru_list[:-1]
cache_lru_list.insert(0, entry)
self._dir_cache.store(name, cache_lru_list)
return {"success": True, "message": "", "result": entry}
@command_dispatcher(commands.ROBOCORP_LOAD_FROM_DISK_LRU, list)
def _load_from_disk_lru(self, params: dict) -> ActionResultDict:
try:
name = params["name"]
cache_lru_list = self._dir_cache.load(name, list)
except:
cache_lru_list = []
return cache_lru_list
def _get_sort_key_info(self):
try:
cache_lru_list: List[PackageInfoInLRUDict] = self._dir_cache.load(
self.PACKAGE_ACCESS_LRU_CACHE_KEY, list
)
except KeyError:
cache_lru_list = []
DEFAULT_SORT_KEY = 10
ws_id_and_pack_id_to_lru_index: Dict = {}
for i, entry in enumerate(cache_lru_list):
if i >= DEFAULT_SORT_KEY:
break
if isinstance(entry, dict):
ws_id = entry.get("workspace_id")
pack_id = entry.get("package_id")
if ws_id is not None and pack_id is not None:
key = (ws_id, pack_id)
ws_id_and_pack_id_to_lru_index[key] = i
return ws_id_and_pack_id_to_lru_index
@command_dispatcher(commands.ROBOCORP_CLOUD_LIST_WORKSPACES_INTERNAL)
def _cloud_list_workspaces(
self, params: CloudListWorkspaceDict
) -> ListWorkspacesActionResultDict:
from robocorp_ls_core.progress_report import progress_context
DEFAULT_SORT_KEY = 10
package_info: PackageInfoDict
ws_dict: WorkspaceInfoDict
ws_id_and_pack_id_to_lru_index = self._get_sort_key_info()
curr_account_info = self._rcc.last_verified_account_info
if curr_account_info is None:
curr_account_info = self._rcc.get_valid_account_info()
if curr_account_info is None:
return {
"success": False,
"message": "Unable to get workspace info (no user is logged in).",
"result": None,
}
account_cache_key = (curr_account_info.account, curr_account_info.identifier)
if not params.get("refresh", True):
try:
cached: ListWorkspaceCachedInfoDict = self._dir_cache.load(
self.CLOUD_LIST_WORKSPACE_CACHE_KEY, dict
)
except KeyError:
pass
else:
# We need to update the sort key when it's gotten from the cache.
try:
if account_cache_key == tuple(cached.get("account_cache_key", ())):
for ws_dict in cached["ws_info"]:
for package_info in ws_dict["packages"]:
key = (package_info["workspaceId"], package_info["id"])
sort_key = "%05d%s" % (
ws_id_and_pack_id_to_lru_index.get(
key, DEFAULT_SORT_KEY
),
package_info["name"].lower(),
)
package_info["sortKey"] = sort_key
return {
"success": True,
"message": None,
"result": cached["ws_info"],
}
except Exception:
log.exception(
"Error computing new sort keys for cached entry. Refreshing and proceeding."
)
last_error_result = None
with progress_context(
self._endpoint, "Listing cloud workspaces", self._dir_cache
):
ws: IRccWorkspace
ret: List[WorkspaceInfoDict] = []
result = self._rcc.cloud_list_workspaces()
if not result.success:
return result.as_dict()
workspaces = result.result
for ws in workspaces:
packages: List[PackageInfoDict] = []
activity_package: IRccRobotMetadata
activities_result = self._rcc.cloud_list_workspace_robots(
ws.workspace_id
)
if not activities_result.success:
# If we can't list the robots of a specific workspace, just skip it
# (the log should still show it but we can proceed to list the
# contents of other workspaces).
last_error_result = activities_result
continue
workspace_activities = activities_result.result
for activity_package in workspace_activities:
key = (ws.workspace_id, activity_package.robot_id)
sort_key = "%05d%s" % (
ws_id_and_pack_id_to_lru_index.get(key, DEFAULT_SORT_KEY),
activity_package.robot_name.lower(),
)
package_info = {
"name": activity_package.robot_name,
"id": activity_package.robot_id,
"sortKey": sort_key,
"workspaceId": ws.workspace_id,
"workspaceName": ws.workspace_name,
}
packages.append(package_info)
ws_dict = {
"workspaceName": ws.workspace_name,
"workspaceId": ws.workspace_id,
"packages": packages,
}
ret.append(ws_dict)
if not ret and last_error_result is not None:
return last_error_result.as_dict()
if ret: # Only store if we got something.
store: ListWorkspaceCachedInfoDict = {
"ws_info": ret,
"account_cache_key": account_cache_key,
}
self._dir_cache.store(self.CLOUD_LIST_WORKSPACE_CACHE_KEY, store)
return {"success": True, "message": None, "result": ret}
@command_dispatcher(commands.ROBOCORP_CREATE_ROBOT_INTERNAL)
def _create_robot(self, params: CreateRobotParamsDict) -> ActionResultDict:
self._feedback_metric("vscode.create.robot")
directory = params["directory"]
template = params["template"]
name = params["name"]
return self._rcc.create_robot(template, os.path.join(directory, name)).as_dict()
@command_dispatcher(commands.ROBOCORP_LIST_ROBOT_TEMPLATES_INTERNAL)
def _list_activity_templates(self, params=None) -> ActionResultDict:
result = self._rcc.get_template_names()
return result.as_dict()
def _get_robot_metadata(
self,
sub: Path,
curr_cache: Dict[Path, CachedFileInfo[LocalRobotMetadataInfoDict]],
new_cache: Dict[Path, CachedFileInfo[LocalRobotMetadataInfoDict]],
) -> Optional[LocalRobotMetadataInfoDict]:
"""
Note that we get the value from the current cache and then put it in
the new cache if it's still valid (that way we don't have to mutate
the old cache to remove stale values... all that's valid is put in
the new cache).
"""
robot_yaml = sub / "robot.yaml"
cached_file_info: Optional[
CachedFileInfo[LocalRobotMetadataInfoDict]
] = curr_cache.get(sub)
if cached_file_info is not None:
if cached_file_info.is_cache_valid():
new_cache[sub] = cached_file_info
return cached_file_info.value
if robot_yaml.exists():
from robocorp_ls_core import yaml_wrapper
try:
def get_robot_metadata(robot_yaml: Path):
name = robot_yaml.parent.name
with robot_yaml.open("r", encoding="utf-8") as stream:
yaml_contents = yaml_wrapper.load(stream)
name = yaml_contents.get("name", name)
robot_metadata: LocalRobotMetadataInfoDict = {
"directory": str(sub),
"filePath": str(robot_yaml),
"name": name,
"yamlContents": yaml_contents,
}
return robot_metadata
cached_file_info = new_cache[sub] = CachedFileInfo(
robot_yaml, get_robot_metadata
)
return cached_file_info.value
except:
log.exception(f"Unable to get load robot metadata for: {robot_yaml}")
return None
@command_dispatcher(commands.ROBOCORP_RUN_IN_RCC_INTERNAL)
def _run_in_rcc_internal(self, params=RunInRccParamsDict) -> ActionResultDict:
try:
args = params["args"]
ret = self._rcc._run_rcc(args)
except Exception as e:
log.exception(f"Error running in RCC: {params}.")
return dict(success=False, message=str(e), result=None)
return ret.as_dict()
@command_dispatcher(commands.ROBOCORP_LOCAL_LIST_ROBOTS_INTERNAL)
def _local_list_robots(self, params=None) -> ActionResultDictLocalRobotMetadata:
curr_cache = self._local_list_robots_cache
new_cache: Dict[Path, CachedFileInfo[LocalRobotMetadataInfoDict]] = {}
ret: List[LocalRobotMetadataInfoDict] = []
try:
ws = self.workspace
if ws:
for folder_path in ws.get_folder_paths():
# Check the root directory itself for the robot.yaml.
p = Path(folder_path)
robot_metadata = self._get_robot_metadata(p, curr_cache, new_cache)
if robot_metadata is not None:
ret.append(robot_metadata)
elif p.is_dir():
for sub in p.iterdir():
robot_metadata = self._get_robot_metadata(
sub, curr_cache, new_cache
)
if robot_metadata is not None:
ret.append(robot_metadata)
ret.sort(key=lambda dct: dct["name"])
except Exception as e:
log.exception("Error listing robots.")
return dict(success=False, message=str(e), result=None)
finally:
# Set the new cache after we finished computing all entries.
self._local_list_robots_cache = new_cache
return dict(success=True, message=None, result=ret)
def _validate_directory(self, directory) -> Optional[str]:
if not os.path.exists(directory):
return f"Expected: {directory} to exist."
if not os.path.isdir(directory):
return f"Expected: {directory} to be a directory."
return None
def _add_package_info_to_access_lru(self, workspace_id, package_id, directory):
import time
try:
lst: List[PackageInfoInLRUDict] = self._dir_cache.load(
self.PACKAGE_ACCESS_LRU_CACHE_KEY, list
)
except KeyError:
lst = []
new_lst: List[PackageInfoInLRUDict] = [
{
"workspace_id": workspace_id,
"package_id": package_id,
"directory": directory,
"time": time.time(),
}
]
for i, entry in enumerate(lst):
if isinstance(entry, dict):
if (
entry.get("package_id") == package_id
and entry.get("workspace_id") == workspace_id
):
continue # Skip this one (we moved it to the start of the LRU).
new_lst.append(entry)
if i == 5:
break # Max number of items in the LRU reached.
self._dir_cache.store(self.PACKAGE_ACCESS_LRU_CACHE_KEY, new_lst)
@command_dispatcher(commands.ROBOCORP_UPLOAD_TO_EXISTING_ROBOT_INTERNAL)
def _upload_to_existing_activity(
self, params: UploadRobotParamsDict
) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.upload.existing")
directory = params["directory"]
error_msg = self._validate_directory(directory)
if error_msg:
return {"success": False, "message": error_msg, "result": None}
workspace_id = params["workspaceId"]
robot_id = params["robotId"]
with progress_context(
self._endpoint, "Uploading to existing robot", self._dir_cache
):
result = self._rcc.cloud_set_robot_contents(
directory, workspace_id, robot_id
)
self._add_package_info_to_access_lru(workspace_id, robot_id, directory)
return result.as_dict()
@command_dispatcher(commands.ROBOCORP_UPLOAD_TO_NEW_ROBOT_INTERNAL)
def _upload_to_new_robot(
self, params: UploadNewRobotParamsDict
) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.upload.new")
directory = params["directory"]
error_msg = self._validate_directory(directory)
if error_msg:
return {"success": False, "message": error_msg, "result": None}
workspace_id = params["workspaceId"]
robot_name = params["robotName"]
# When we upload to a new activity, clear the existing cache key.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
with progress_context(
self._endpoint, "Uploading to new robot", self._dir_cache
):
new_robot_result = self._rcc.cloud_create_robot(workspace_id, robot_name)
if not new_robot_result.success:
return new_robot_result.as_dict()
robot_id = new_robot_result.result
if not robot_id:
return dict(
success=False,
message="Expected to have package id from creating new activity.",
result=None,
)
result = self._rcc.cloud_set_robot_contents(
directory, workspace_id, robot_id
)
self._add_package_info_to_access_lru(workspace_id, robot_id, directory)
return result.as_dict()
@command_dispatcher(commands.ROBOCORP_GET_PLUGINS_DIR, str)
def _get_plugins_dir(self, params=None) -> str:
return str(Path(__file__).parent / "plugins")
@command_dispatcher(
commands.ROBOCORP_COMPUTE_ROBOT_LAUNCH_FROM_ROBOCORP_CODE_LAUNCH
)
def _compute_robot_launch_from_robocorp_code_launch(
self, params: dict
) -> ActionResultDictRobotLaunch:
from robocorp_code import compute_launch
name: Optional[str] = params.get("name")
request: Optional[str] = params.get("request")
task: Optional[str] = params.get("task")
robot: Optional[str] = params.get("robot")
additional_pythonpath_entries: Optional[List[str]] = params.get(
"additionalPythonpathEntries"
)
env: Optional[Dict[str, str]] = params.get("env")
python_exe: Optional[str] = params.get("pythonExe")
return compute_launch.compute_robot_launch_from_robocorp_code_launch(
name, request, task, robot, additional_pythonpath_entries, env, python_exe
)
@command_dispatcher(commands.ROBOCORP_RESOLVE_INTERPRETER, dict)
def _resolve_interpreter(self, params=None) -> ActionResultDict:
from robocorp_ls_core.ep_resolve_interpreter import EPResolveInterpreter
from robocorp_ls_core.ep_resolve_interpreter import IInterpreterInfo
try:
from robocorp_ls_core import uris
target_robot: str = params.get("target_robot")
for ep in self._pm.get_implementations(EPResolveInterpreter):
interpreter_info: IInterpreterInfo = ep.get_interpreter_info_for_doc_uri(
uris.from_fs_path(target_robot)
)
if interpreter_info is not None:
return {
"success": True,
"message": None,
"result": {
"pythonExe": interpreter_info.get_python_exe(),
"environ": interpreter_info.get_environ(),
"additionalPythonpathEntries": interpreter_info.get_additional_pythonpath_entries(),
},
}
except Exception as e:
log.exception(f"Error resolving interpreter. Args: {params}")
return {"success": False, "message": str(e), "result": None}
# i.e.: no error but we couldn't find an interpreter.
return {"success": True, "message": "", "result": None}
class RobocorpLanguageServer(PythonLanguageServer):
# V2: save the account info along to validate user.
CLOUD_LIST_WORKSPACE_CACHE_KEY = "CLOUD_LIST_WORKSPACE_CACHE_V2"
PACKAGE_ACCESS_LRU_CACHE_KEY = "PACKAGE_ACCESS_LRU_CACHE"
def __init__(self, read_stream, write_stream):
from robocorp_code.rcc import Rcc
from robocorp_ls_core.cache import DirCache
from robocorp_ls_core.pluginmanager import PluginManager
from robocorp_ls_core.ep_providers import DefaultConfigurationProvider
from robocorp_ls_core.ep_providers import EPConfigurationProvider
from robocorp_ls_core.ep_providers import DefaultDirCacheProvider
from robocorp_ls_core.ep_providers import EPDirCacheProvider
from robocorp_ls_core.ep_providers import DefaultEndPointProvider
from robocorp_ls_core.ep_providers import EPEndPointProvider
user_home = os.getenv("ROBOCORP_CODE_USER_HOME", None)
if user_home is None:
user_home = os.path.expanduser("~")
cache_dir = os.path.join(user_home, ".robocorp-code", ".cache")
log.debug(f"Cache dir: {cache_dir}")
try:
import ssl
except:
# This means that we won't be able to download drivers to
# enable the creation of browser locators!
# Let's print a bit more info.
env_vars_info = ""
related_vars = [
"LD_LIBRARY_PATH",
"PATH",
"DYLD_LIBRARY_PATH",
"DYLD_FALLBACK_LIBRARY_PATH",
]
for v in related_vars:
libpath = os.environ.get(v, "")
libpath = "\n ".join(libpath.split(os.pathsep))
if libpath:
libpath = "\n " + libpath + "\n"
else:
libpath = " <not set>\n"
env_vars_info += f"{v}: {libpath}"
log.critical(f"SSL module could not be imported.\n"
f"sys.executable: {sys.executable}\n"
f"Env vars info: {env_vars_info}\n")
self._dir_cache = DirCache(cache_dir)
self._rcc = Rcc(self)
self._track = True
self._local_list_robots_cache: Dict[
Path, CachedFileInfo[LocalRobotMetadataInfoDict]] = {}
PythonLanguageServer.__init__(self, read_stream, write_stream)
self._pm = PluginManager()
self._config_provider = DefaultConfigurationProvider(self.config)
self._pm.set_instance(EPConfigurationProvider, self._config_provider)
self._pm.set_instance(EPDirCacheProvider,
DefaultDirCacheProvider(self._dir_cache))
self._pm.set_instance(EPEndPointProvider,
DefaultEndPointProvider(self._endpoint))
from robocorp_code.plugins.resolve_interpreter import register_plugins
register_plugins(self._pm)
self._locators_in_thread_api = _LocatorsInThreadAPI()
@overrides(PythonLanguageServer.m_initialize)
def m_initialize(
self,
processId=None,
rootUri=None,
rootPath=None,
initializationOptions=None,
workspaceFolders=None,
**_kwargs,
) -> dict:
ret = PythonLanguageServer.m_initialize(
self,
processId=processId,
rootUri=rootUri,
rootPath=rootPath,
initializationOptions=initializationOptions,
workspaceFolders=workspaceFolders,
)
if initializationOptions and isinstance(initializationOptions, dict):
self._track = not initializationOptions.get("do-not-track", False)
from robocorp_code import __version__
self._feedback_metric("vscode.started", __version__)
self._feedback_metric("vscode.started.os", sys.platform)
return ret
def _feedback_metric(self, name, value="+1"):
if not self._track:
return
from robocorp_ls_core.timeouts import TimeoutTracker
timeout_tracker = TimeoutTracker.get_singleton()
timeout_tracker.call_on_timeout(
0.1, partial(self._rcc.feedack_metric, name, value))
def m_shutdown(self, **_kwargs):
self._locators_in_thread_api.shutdown()
PythonLanguageServer.m_shutdown(self, **_kwargs)
@overrides(PythonLanguageServer.cancel_lint)
def cancel_lint(self, doc_uri):
pass # no-op
@overrides(PythonLanguageServer.lint)
def lint(self, doc_uri, is_saved):
pass # no-op
@overrides(PythonLanguageServer._create_config)
def _create_config(self) -> IConfig:
from robocorp_code.robocorp_config import RobocorpConfig
return RobocorpConfig()
@overrides(PythonLanguageServer.capabilities)
def capabilities(self):
from robocorp_ls_core.lsp import TextDocumentSyncKind
from robocorp_code.commands import ALL_SERVER_COMMANDS
server_capabilities = {
"codeActionProvider": False,
# "codeLensProvider": {
# "resolveProvider": False, # We may need to make this configurable
# },
"completionProvider": {
"resolveProvider": False # We know everything ahead of time
},
"documentFormattingProvider": False,
"documentHighlightProvider": False,
"documentRangeFormattingProvider": False,
"documentSymbolProvider": False,
"definitionProvider": False,
"executeCommandProvider": {
"commands": ALL_SERVER_COMMANDS
},
"hoverProvider": True,
"referencesProvider": False,
"renameProvider": False,
"foldingRangeProvider": False,
"textDocumentSync": {
"change": TextDocumentSyncKind.INCREMENTAL,
"save": {
"includeText": False
},
"openClose": True,
},
"workspace": {
"workspaceFolders": {
"supported": True,
"changeNotifications": True
}
},
}
log.info("Server capabilities: %s", server_capabilities)
return server_capabilities
def m_workspace__execute_command(self, command=None, arguments=()) -> Any:
return command_dispatcher.dispatch(self, command, arguments)
@command_dispatcher(commands.ROBOCORP_IS_LOGIN_NEEDED_INTERNAL)
def _is_login_needed_internal(self) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
with progress_context(self._endpoint, "Validating cloud credentials",
self._dir_cache):
login_needed = not self._rcc.credentials_valid()
return {
"success": login_needed,
"message": None,
"result": login_needed
}
@command_dispatcher(commands.ROBOCORP_CLOUD_LOGIN_INTERNAL)
def _cloud_login(self, params: CloudLoginParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.login")
# When new credentials are added we need to remove existing caches.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
credentials = params["credentials"]
with progress_context(self._endpoint, "Adding cloud credentials",
self._dir_cache):
result = self._rcc.add_credentials(credentials)
self._endpoint.notify("$/linkedAccountChanged")
if not result.success:
return result.as_dict()
result = self._rcc.credentials_valid()
return {"success": result, "message": None, "result": result}
@command_dispatcher(commands.ROBOCORP_CLOUD_LOGOUT_INTERNAL)
def _cloud_logout(self) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.logout")
# When credentials are removed we need to remove existing caches.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
with progress_context(self._endpoint, "Removing cloud credentials",
self._dir_cache):
ret = self._rcc.remove_current_credentials().as_dict()
self._endpoint.notify("$/linkedAccountChanged")
return ret
@command_dispatcher(commands.ROBOCORP_SAVE_IN_DISK_LRU)
def _save_in_disk_lru(self, params: dict) -> ActionResultDict:
name = params["name"]
entry = params["entry"]
lru_size = params["lru_size"]
try:
cache_lru_list = self._dir_cache.load(name, list)
except:
cache_lru_list = []
try:
if cache_lru_list[0] == entry:
# Nothing to do as it already matches.
return {"success": True, "message": "", "result": entry}
cache_lru_list.remove(entry)
except:
pass # If empty or if entry is not there, just proceed.
if len(cache_lru_list) >= lru_size:
cache_lru_list = cache_lru_list[:-1]
cache_lru_list.insert(0, entry)
self._dir_cache.store(name, cache_lru_list)
return {"success": True, "message": "", "result": entry}
@command_dispatcher(commands.ROBOCORP_LOAD_FROM_DISK_LRU, list)
def _load_from_disk_lru(self, params: dict) -> ActionResultDict:
try:
name = params["name"]
cache_lru_list = self._dir_cache.load(name, list)
except:
cache_lru_list = []
return cache_lru_list
def _get_sort_key_info(self):
try:
cache_lru_list: List[PackageInfoInLRUDict] = self._dir_cache.load(
self.PACKAGE_ACCESS_LRU_CACHE_KEY, list)
except KeyError:
cache_lru_list = []
DEFAULT_SORT_KEY = 10
ws_id_and_pack_id_to_lru_index: Dict = {}
for i, entry in enumerate(cache_lru_list):
if i >= DEFAULT_SORT_KEY:
break
if isinstance(entry, dict):
ws_id = entry.get("workspace_id")
pack_id = entry.get("package_id")
if ws_id is not None and pack_id is not None:
key = (ws_id, pack_id)
ws_id_and_pack_id_to_lru_index[key] = i
return ws_id_and_pack_id_to_lru_index
@command_dispatcher(commands.ROBOCORP_GET_LINKED_ACCOUNT_INFO_INTERNAL)
def _get_linked_account_info(self, params=None) -> ActionResultDict:
from robocorp_code.rcc import AccountInfo
curr_account_info: Optional[
AccountInfo] = self._rcc.last_verified_account_info
if curr_account_info is None:
curr_account_info = self._rcc.get_valid_account_info()
if curr_account_info is None:
return {
"success": False,
"message":
"Unable to get account info (no linked account).",
"result": None,
}
return {
"success": True,
"message": None,
"result": {
"account": curr_account_info.account,
"identifier": curr_account_info.identifier,
"email": curr_account_info.email,
"fullname": curr_account_info.fullname,
},
}
@command_dispatcher(commands.ROBOCORP_CLOUD_LIST_WORKSPACES_INTERNAL)
def _cloud_list_workspaces(
self,
params: CloudListWorkspaceDict) -> ListWorkspacesActionResultDict:
from robocorp_ls_core.progress_report import progress_context
DEFAULT_SORT_KEY = 10
package_info: PackageInfoDict
ws_dict: WorkspaceInfoDict
ws_id_and_pack_id_to_lru_index = self._get_sort_key_info()
curr_account_info = self._rcc.last_verified_account_info
if curr_account_info is None:
curr_account_info = self._rcc.get_valid_account_info()
if curr_account_info is None:
return {
"success": False,
"message":
"Unable to get workspace info (no user is logged in).",
"result": None,
}
account_cache_key = (curr_account_info.account,
curr_account_info.identifier)
if not params.get("refresh", True):
try:
cached: ListWorkspaceCachedInfoDict = self._dir_cache.load(
self.CLOUD_LIST_WORKSPACE_CACHE_KEY, dict)
except KeyError:
pass
else:
# We need to update the sort key when it's gotten from the cache.
try:
if account_cache_key == tuple(
cached.get("account_cache_key", ())):
for ws_dict in cached["ws_info"]:
for package_info in ws_dict["packages"]:
key = (package_info["workspaceId"],
package_info["id"])
sort_key = "%05d%s" % (
ws_id_and_pack_id_to_lru_index.get(
key, DEFAULT_SORT_KEY),
package_info["name"].lower(),
)
package_info["sortKey"] = sort_key
return {
"success": True,
"message": None,
"result": cached["ws_info"],
}
except Exception:
log.exception(
"Error computing new sort keys for cached entry. Refreshing and proceeding."
)
last_error_result = None
with progress_context(self._endpoint, "Listing cloud workspaces",
self._dir_cache):
ws: IRccWorkspace
ret: List[WorkspaceInfoDict] = []
result = self._rcc.cloud_list_workspaces()
if not result.success:
return result.as_dict()
workspaces = result.result
for ws in workspaces:
packages: List[PackageInfoDict] = []
activity_package: IRccRobotMetadata
activities_result = self._rcc.cloud_list_workspace_robots(
ws.workspace_id)
if not activities_result.success:
# If we can't list the robots of a specific workspace, just skip it
# (the log should still show it but we can proceed to list the
# contents of other workspaces).
last_error_result = activities_result
continue
workspace_activities = activities_result.result
for activity_package in workspace_activities:
key = (ws.workspace_id, activity_package.robot_id)
sort_key = "%05d%s" % (
ws_id_and_pack_id_to_lru_index.get(
key, DEFAULT_SORT_KEY),
activity_package.robot_name.lower(),
)
package_info = {
"name": activity_package.robot_name,
"id": activity_package.robot_id,
"sortKey": sort_key,
"workspaceId": ws.workspace_id,
"workspaceName": ws.workspace_name,
}
packages.append(package_info)
ws_dict = {
"workspaceName": ws.workspace_name,
"workspaceId": ws.workspace_id,
"packages": packages,
}
ret.append(ws_dict)
if not ret and last_error_result is not None:
return last_error_result.as_dict()
if ret: # Only store if we got something.
store: ListWorkspaceCachedInfoDict = {
"ws_info": ret,
"account_cache_key": account_cache_key,
}
self._dir_cache.store(self.CLOUD_LIST_WORKSPACE_CACHE_KEY, store)
return {"success": True, "message": None, "result": ret}
@command_dispatcher(commands.ROBOCORP_CREATE_ROBOT_INTERNAL)
def _create_robot(self, params: CreateRobotParamsDict) -> ActionResultDict:
self._feedback_metric("vscode.create.robot")
directory = params["directory"]
template = params["template"]
name = params["name"]
return self._rcc.create_robot(template, os.path.join(directory,
name)).as_dict()
@command_dispatcher(commands.ROBOCORP_LIST_ROBOT_TEMPLATES_INTERNAL)
def _list_activity_templates(self, params=None) -> ActionResultDict:
result = self._rcc.get_template_names()
return result.as_dict()
def _get_robot_metadata(
self,
sub: Path,
curr_cache: Dict[Path, CachedFileInfo[LocalRobotMetadataInfoDict]],
new_cache: Dict[Path, CachedFileInfo[LocalRobotMetadataInfoDict]],
) -> Optional[LocalRobotMetadataInfoDict]:
"""
Note that we get the value from the current cache and then put it in
the new cache if it's still valid (that way we don't have to mutate
the old cache to remove stale values... all that's valid is put in
the new cache).
"""
robot_yaml = sub / "robot.yaml"
cached_file_info: Optional[
CachedFileInfo[LocalRobotMetadataInfoDict]] = curr_cache.get(sub)
if cached_file_info is not None:
if cached_file_info.is_cache_valid():
new_cache[sub] = cached_file_info
return cached_file_info.value
if robot_yaml.exists():
from robocorp_ls_core import yaml_wrapper
try:
def get_robot_metadata(robot_yaml: Path):
name = robot_yaml.parent.name
with robot_yaml.open("r", encoding="utf-8") as stream:
yaml_contents = yaml_wrapper.load(stream)
name = yaml_contents.get("name", name)
robot_metadata: LocalRobotMetadataInfoDict = {
"directory": str(sub),
"filePath": str(robot_yaml),
"name": name,
"yamlContents": yaml_contents,
}
return robot_metadata
cached_file_info = new_cache[sub] = CachedFileInfo(
robot_yaml, get_robot_metadata)
return cached_file_info.value
except:
log.exception(
f"Unable to get load robot metadata for: {robot_yaml}")
return None
@command_dispatcher(commands.ROBOCORP_RUN_IN_RCC_INTERNAL)
def _run_in_rcc_internal(self,
params=RunInRccParamsDict) -> ActionResultDict:
try:
args = params["args"]
ret = self._rcc._run_rcc(args)
except Exception as e:
log.exception(f"Error running in RCC: {params}.")
return dict(success=False, message=str(e), result=None)
return ret.as_dict()
@command_dispatcher(commands.ROBOCORP_LOCAL_LIST_ROBOTS_INTERNAL)
def _local_list_robots(self,
params=None) -> ActionResultDictLocalRobotMetadata:
curr_cache = self._local_list_robots_cache
new_cache: Dict[Path, CachedFileInfo[LocalRobotMetadataInfoDict]] = {}
ret: List[LocalRobotMetadataInfoDict] = []
try:
ws = self.workspace
if ws:
for folder_path in ws.get_folder_paths():
# Check the root directory itself for the robot.yaml.
p = Path(folder_path)
robot_metadata = self._get_robot_metadata(
p, curr_cache, new_cache)
if robot_metadata is not None:
ret.append(robot_metadata)
elif p.is_dir():
for sub in p.iterdir():
robot_metadata = self._get_robot_metadata(
sub, curr_cache, new_cache)
if robot_metadata is not None:
ret.append(robot_metadata)
ret.sort(key=lambda dct: dct["name"])
except Exception as e:
log.exception("Error listing robots.")
return dict(success=False, message=str(e), result=None)
finally:
# Set the new cache after we finished computing all entries.
self._local_list_robots_cache = new_cache
return dict(success=True, message=None, result=ret)
def _validate_directory(self, directory) -> Optional[str]:
if not os.path.exists(directory):
return f"Expected: {directory} to exist."
if not os.path.isdir(directory):
return f"Expected: {directory} to be a directory."
return None
def _add_package_info_to_access_lru(self, workspace_id, package_id,
directory):
import time
try:
lst: List[PackageInfoInLRUDict] = self._dir_cache.load(
self.PACKAGE_ACCESS_LRU_CACHE_KEY, list)
except KeyError:
lst = []
new_lst: List[PackageInfoInLRUDict] = [{
"workspace_id": workspace_id,
"package_id": package_id,
"directory": directory,
"time": time.time(),
}]
for i, entry in enumerate(lst):
if isinstance(entry, dict):
if (entry.get("package_id") == package_id
and entry.get("workspace_id") == workspace_id):
continue # Skip this one (we moved it to the start of the LRU).
new_lst.append(entry)
if i == 5:
break # Max number of items in the LRU reached.
self._dir_cache.store(self.PACKAGE_ACCESS_LRU_CACHE_KEY, new_lst)
@command_dispatcher(commands.ROBOCORP_UPLOAD_TO_EXISTING_ROBOT_INTERNAL)
def _upload_to_existing_activity(
self, params: UploadRobotParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.upload.existing")
directory = params["directory"]
error_msg = self._validate_directory(directory)
if error_msg:
return {"success": False, "message": error_msg, "result": None}
workspace_id = params["workspaceId"]
robot_id = params["robotId"]
with progress_context(self._endpoint, "Uploading to existing robot",
self._dir_cache):
result = self._rcc.cloud_set_robot_contents(
directory, workspace_id, robot_id)
self._add_package_info_to_access_lru(workspace_id, robot_id,
directory)
return result.as_dict()
@command_dispatcher(commands.ROBOCORP_UPLOAD_TO_NEW_ROBOT_INTERNAL)
def _upload_to_new_robot(
self, params: UploadNewRobotParamsDict) -> ActionResultDict:
from robocorp_ls_core.progress_report import progress_context
self._feedback_metric("vscode.cloud.upload.new")
directory = params["directory"]
error_msg = self._validate_directory(directory)
if error_msg:
return {"success": False, "message": error_msg, "result": None}
workspace_id = params["workspaceId"]
robot_name = params["robotName"]
# When we upload to a new activity, clear the existing cache key.
self._dir_cache.discard(self.CLOUD_LIST_WORKSPACE_CACHE_KEY)
with progress_context(self._endpoint, "Uploading to new robot",
self._dir_cache):
new_robot_result = self._rcc.cloud_create_robot(
workspace_id, robot_name)
if not new_robot_result.success:
return new_robot_result.as_dict()
robot_id = new_robot_result.result
if not robot_id:
return dict(
success=False,
message=
"Expected to have package id from creating new activity.",
result=None,
)
result = self._rcc.cloud_set_robot_contents(
directory, workspace_id, robot_id)
self._add_package_info_to_access_lru(workspace_id, robot_id,
directory)
return result.as_dict()
@command_dispatcher(commands.ROBOCORP_GET_PLUGINS_DIR, str)
def _get_plugins_dir(self, params=None) -> str:
return str(Path(__file__).parent / "plugins")
@command_dispatcher(
commands.ROBOCORP_COMPUTE_ROBOT_LAUNCH_FROM_ROBOCORP_CODE_LAUNCH)
def _compute_robot_launch_from_robocorp_code_launch(
self, params: dict) -> ActionResultDictRobotLaunch:
from robocorp_code import compute_launch
name: Optional[str] = params.get("name")
request: Optional[str] = params.get("request")
task: Optional[str] = params.get("task")
robot: Optional[str] = params.get("robot")
additional_pythonpath_entries: Optional[List[str]] = params.get(
"additionalPythonpathEntries")
env: Optional[Dict[str, str]] = params.get("env")
python_exe: Optional[str] = params.get("pythonExe")
return compute_launch.compute_robot_launch_from_robocorp_code_launch(
name, request, task, robot, additional_pythonpath_entries, env,
python_exe)
@command_dispatcher(commands.ROBOCORP_RESOLVE_INTERPRETER, dict)
def _resolve_interpreter(self, params=None) -> ActionResultDict:
from robocorp_ls_core.ep_resolve_interpreter import EPResolveInterpreter
from robocorp_ls_core.ep_resolve_interpreter import IInterpreterInfo
try:
from robocorp_ls_core import uris
target_robot: str = params.get("target_robot")
for ep in self._pm.get_implementations(EPResolveInterpreter):
interpreter_info: IInterpreterInfo = (
ep.get_interpreter_info_for_doc_uri(
uris.from_fs_path(target_robot)))
if interpreter_info is not None:
return {
"success": True,
"message": None,
"result": {
"pythonExe":
interpreter_info.get_python_exe(),
"environ":
interpreter_info.get_environ(),
"additionalPythonpathEntries":
interpreter_info.get_additional_pythonpath_entries(
),
},
}
except Exception as e:
log.exception(f"Error resolving interpreter. Args: {params}")
return {"success": False, "message": str(e), "result": None}
# i.e.: no error but we couldn't find an interpreter.
return {"success": True, "message": "", "result": None}
@command_dispatcher(
commands.ROBOCORP_START_BROWSER_LOCATOR_INTERNAL,
expected_return_cls=(Future, dict),
)
def _start_browser_locator(
self,
params: dict = None
) -> "Union[ActionResultDict, Future[ActionResultDict]]":
if not params or "robotYaml" not in params:
self._locators_in_thread_api.set_robot_yaml_location("")
return {
"success": False,
"message": "robot.yaml filename not passed",
"result": None,
}
robot_yaml = params["robotYaml"]
if not os.path.exists(robot_yaml):
return {
"success": False,
"message": f"robot.yaml {robot_yaml} does not exist.",
"result": None,
}
return self._locators_in_thread_api.start_browser_locator(
robot_yaml=robot_yaml)
@command_dispatcher(commands.ROBOCORP_STOP_BROWSER_LOCATOR,
expected_return_cls=Future)
def _stop_browser_locator(self,
params: dict = None
) -> "Future[ActionResultDict]":
return self._locators_in_thread_api.browser_locator_stop()
@command_dispatcher(
commands.ROBOCORP_CREATE_LOCATOR_FROM_BROWSER_PICK_INTERNAL,
expected_return_cls=Future,
)
def _create_locator_fom_browser_pick(self,
params: dict = None
) -> "Future[ActionResultDict]":
self._feedback_metric("vscode.locator.created", "browser")
return self._locators_in_thread_api.create_locator_from_browser_pick()
@command_dispatcher(
commands.ROBOCORP_CREATE_LOCATOR_FROM_SCREEN_REGION_INTERNAL,
expected_return_cls=(Future, dict),
)
def _create_locator_fom_screenshot_pick(
self,
params: dict = None
) -> Union["Future[ActionResultDict]", ActionResultDict]:
if not params or "robotYaml" not in params:
self._locators_in_thread_api.set_robot_yaml_location("")
return {
"success": False,
"message": "robot.yaml filename not passed",
"result": None,
}
robot_yaml = params["robotYaml"]
if not os.path.exists(robot_yaml):
return {
"success": False,
"message": f"robot.yaml {robot_yaml} does not exist.",
"result": None,
}
self._feedback_metric("vscode.locator.created", "image")
return self._locators_in_thread_api.create_locator_from_screenshot_pick(
robot_yaml)
@command_dispatcher(commands.ROBOCORP_SEND_METRIC)
def _send_metric(self, params: dict) -> ActionResultDict:
name = params.get("name")
value = params.get("value")
if name is None or value is None:
return {
"success": False,
"message":
f"Expected name and value. Received name: {name!r} value: {value!r}",
"result": None,
}
self._feedback_metric(name, value)
return {"success": True, "message": None, "result": None}
def m_text_document__hover(self, **kwargs):
"""
When hovering over a png in base64 surrounded by double-quotes... something as:
"iVBORw0KGgo...rest of png in base 64 contents..."
i.e.: Provide the contents in markdown format to show the actual image from the
locators.json.
"""
from robocorp_ls_core import uris
from robocorp_ls_core.protocols import IDocument
from robocorp_ls_core.protocols import IDocumentSelection
from robocorp_ls_core.lsp import Range
from robocorp_ls_core.lsp import MarkupKind
from robocorp_ls_core.lsp import MarkupContent
doc_uri = kwargs["textDocument"]["uri"]
# Note: 0-based
line: int = kwargs["position"]["line"]
col: int = kwargs["position"]["character"]
if not uris.to_fs_path(doc_uri).endswith("locators.json"):
return None
document: IDocument = self._workspace.get_document(
doc_uri, accept_from_file=True)
sel: IDocumentSelection = document.selection(line, col)
current_line: str = sel.current_line
i: int = current_line.find(
'"iVBORw0KGgo'
) # I.e.: pngs in base64 always start with this prefix.
if i >= 0:
current_line = current_line[i + 1:]
i = current_line.find('"')
if i >= 0:
current_line = current_line[0:i]
image_path = f"data:image/png;base64,{current_line}"
s = f""
return {
"contents": MarkupContent(MarkupKind.Markdown,
s).to_dict(),
"range": Range((line, col), (line, col)).to_dict(),
}
# Could not find a base-64 img embedded, let's see if we have an element
# with a relative path.
import re
p = Path(document.path).parent
for found in re.findall('"(.+?)"', current_line):
if found.endswith(".png"):
check = p / found
if check.exists():
as_uri = uris.from_fs_path(str(check))
s = f""
return {
"contents": MarkupContent(MarkupKind.Markdown,
s).to_dict(),
"range": Range((line, col), (line, col)).to_dict(),
}
return None
def _get_line_col(self, name, content_lines):
"""
Note: there are Python libraries that can be used to extract line/col from json information:
https://pypi.org/project/dirtyjson/
https://pypi.org/project/json-cfg/ (jsoncfg.node_location(node)).
So, we could use the json parsing with this, but there's some logic in
the LocatorsDatabase to deal with old formats and we may have to deal with
old formats too in this case... given that, for now let's just see if we
match a substring there (it's very inefficient, but we don't expect
thousands of locators, so, it should be ok).
"""
match = f'"{name}"'
for i, line in enumerate(content_lines):
col = line.find(match)
if col >= 0:
return i, col
return 0, 0 # I.e.: unable to find
@command_dispatcher(commands.ROBOCORP_GET_LOCATORS_JSON_INFO)
def _get_locators_json_info(self,
params: dict = None
) -> ActionResultDictLocatorsJsonInfo:
from RPA.core.locators.database import LocatorsDatabase
from RPA.core.locators.containers import Locator
if not params or "robotYaml" not in params:
return {
"success": False,
"message": "robot.yaml filename not passed",
"result": None,
}
path = Path(params["robotYaml"])
locators_json = path.parent / "locators.json"
locators_json_info: List[LocatorEntryInfoDict] = []
locator: Locator
if locators_json.exists():
with locators_json.open("r") as stream:
contents = stream.read()
content_lines = contents.splitlines()
try:
db = LocatorsDatabase(str(locators_json))
db.load()
if not db.locators.items():
error = db.error
if not isinstance(error, str):
if isinstance(error, tuple) and len(error) == 2:
try:
error = error[0] % error[1]
except:
error = str(error)
else:
error = str(error)
return {"success": False, "message": error, "result": None}
for name, locator in db.locators.items():
as_dict = locator.to_dict()
line, col = self._get_line_col(name, content_lines)
locators_json_info.append({
"name": name,
"line": line,
"column": col,
"type": as_dict["type"],
"filePath": str(locators_json),
})
except Exception as e:
log.exception(f"Error loading locators from: {locators_json}")
return {"success": False, "message": str(e), "result": None}
return {"success": True, "message": None, "result": locators_json_info}