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import logging |
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from tabpy.tabpy_server.app.app_parameters import SettingsParameters |
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from tabpy.tabpy_server.common.messages import ( |
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LoadObject, |
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DeleteObjects, |
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ListObjects, |
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ObjectList, |
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) |
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from tabpy.tabpy_server.common.endpoint_file_mgr import cleanup_endpoint_files |
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from tabpy.tabpy_server.common.util import format_exception |
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from tabpy.tabpy_server.management.state import TabPyState, get_query_object_path |
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from tabpy.tabpy_server.management import util |
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from time import sleep |
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from tornado import gen |
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logger = logging.getLogger(__name__) |
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def wait_for_endpoint_loaded(python_service, object_uri): |
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""" |
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This method waits for the object to be loaded. |
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""" |
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logger.info("Waiting for object to be loaded...") |
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while True: |
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msg = ListObjects() |
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list_object_msg = python_service.manage_request(msg) |
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if not isinstance(list_object_msg, ObjectList): |
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logger.error(f"Error loading endpoint {object_uri}: {list_object_msg}") |
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return |
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for (uri, info) in list_object_msg.objects.items(): |
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if uri == object_uri: |
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if info["status"] != "LoadInProgress": |
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logger.info(f'Object load status: {info["status"]}') |
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return |
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sleep(0.1) |
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@gen.coroutine |
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def init_ps_server(settings, tabpy_state): |
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logger.info("Initializing TabPy Server...") |
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existing_pos = tabpy_state.get_endpoints() |
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for (object_name, obj_info) in existing_pos.items(): |
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try: |
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object_version = obj_info["version"] |
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get_query_object_path( |
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settings[SettingsParameters.StateFilePath], object_name, object_version |
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) |
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except Exception as e: |
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logger.error( |
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f"Exception encounted when downloading object: {object_name}" |
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f", error: {e}" |
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) |
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@gen.coroutine |
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def init_model_evaluator(settings, tabpy_state, python_service): |
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""" |
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This will go through all models that the service currently have and |
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initialize them. |
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""" |
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logger.info("Initializing models...") |
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existing_pos = tabpy_state.get_endpoints() |
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for (object_name, obj_info) in existing_pos.items(): |
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object_version = obj_info["version"] |
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object_type = obj_info["type"] |
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object_path = get_query_object_path( |
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settings[SettingsParameters.StateFilePath], object_name, object_version |
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) |
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logger.info( |
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f"Load endpoint: {object_name}, " |
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f"version: {object_version}, " |
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f"type: {object_type}" |
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) |
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if object_type == "alias": |
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msg = LoadObject( |
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object_name, obj_info["target"], object_version, False, "alias" |
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) |
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else: |
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local_path = object_path |
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msg = LoadObject( |
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object_name, local_path, object_version, False, object_type |
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) |
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python_service.manage_request(msg) |
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def _get_latest_service_state(settings, tabpy_state, new_ps_state, python_service): |
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""" |
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Update the endpoints from the latest remote state file. |
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Returns |
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-------- |
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(has_changes, endpoint_diff): |
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has_changes: True or False |
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endpoint_diff: Summary of what has changed, one entry for each changes |
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""" |
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# Shortcut when nothing is changed |
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changes = {"endpoints": {}} |
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# update endpoints |
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new_endpoints = new_ps_state.get_endpoints() |
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diff = {} |
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current_endpoints = python_service.ps.query_objects |
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for (endpoint_name, endpoint_info) in new_endpoints.items(): |
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existing_endpoint = current_endpoints.get(endpoint_name) |
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if (existing_endpoint is None) or endpoint_info["version"] != existing_endpoint[ |
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"version" |
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]: |
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# Either a new endpoint or new endpoint version |
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path_to_new_version = get_query_object_path( |
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settings[SettingsParameters.StateFilePath], |
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endpoint_name, |
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endpoint_info["version"], |
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) |
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endpoint_type = endpoint_info.get("type", "model") |
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diff[endpoint_name] = ( |
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endpoint_type, |
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endpoint_info["version"], |
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path_to_new_version, |
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) |
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# add removed models too |
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for (endpoint_name, endpoint_info) in current_endpoints.items(): |
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if endpoint_name not in new_endpoints.keys(): |
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endpoint_type = current_endpoints[endpoint_name].get("type", "model") |
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diff[endpoint_name] = (endpoint_type, None, None) |
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if diff: |
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changes["endpoints"] = diff |
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return (True, changes) |
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@gen.coroutine |
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def on_state_change( |
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settings, tabpy_state, python_service, logger=logging.getLogger(__name__) |
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): |
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try: |
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logger.log(logging.INFO, "Loading state from state file") |
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config = util._get_state_from_file( |
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settings[SettingsParameters.StateFilePath], logger=logger |
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) |
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new_ps_state = TabPyState(config=config, settings=settings) |
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(has_changes, changes) = _get_latest_service_state( |
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settings, tabpy_state, new_ps_state, python_service |
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) |
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if not has_changes: |
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logger.info("Nothing changed, return.") |
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return |
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new_endpoints = new_ps_state.get_endpoints() |
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for object_name in changes["endpoints"]: |
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(object_type, object_version, object_path) = changes["endpoints"][ |
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object_name |
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] |
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if not object_path and not object_version: # removal |
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logger.info(f"Removing object: URI={object_name}") |
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python_service.manage_request(DeleteObjects([object_name])) |
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cleanup_endpoint_files( |
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object_name, settings[SettingsParameters.UploadDir], logger=logger |
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) |
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else: |
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endpoint_info = new_endpoints[object_name] |
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is_update = object_version > 1 |
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if object_type == "alias": |
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msg = LoadObject( |
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object_name, |
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endpoint_info["target"], |
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object_version, |
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is_update, |
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"alias", |
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) |
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else: |
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local_path = object_path |
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msg = LoadObject( |
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object_name, local_path, object_version, is_update, object_type |
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) |
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python_service.manage_request(msg) |
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wait_for_endpoint_loaded(python_service, object_name) |
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# cleanup old version of endpoint files |
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if object_version > 2: |
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cleanup_endpoint_files( |
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object_name, |
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settings[SettingsParameters.UploadDir], |
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logger=logger, |
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retain_versions=[object_version, object_version - 1], |
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) |
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except Exception as e: |
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err_msg = format_exception(e, "on_state_change") |
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logger.log( |
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logging.ERROR, f"Error submitting update model request: error={err_msg}" |
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) |
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tableau /
TabPy
