tabpy.tabpy_tools.client.Client.update_endpoint_info() - Code Metrics - Inspection of "Merge pull request #646 from tableau/jmoens/W-1633..." - tableau/TabPy - Measure and Improve Code Quality continuously with Scrutinizer

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created 2024-09-18 21:11 UTC

Client.update_endpoint_info() B

↳ Parent: tabpy.tabpy_tools.client

Complexity

Conditions

Size

Total Lines	61
Code Lines	24

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	1
CRAP Score	62.4227

Importance

Changes

Metric	Value
cc	8
eloc	24
nop	5
dl	0
loc	61
ccs	1
cts	19
cp	0.0526
crap	62.4227
rs	7.3333
c	0
b	0
f	0

How to fix Long Method

import copy
from re import compile
import time
import requests

from .rest import RequestsNetworkWrapper, ServiceClient

from .rest_client import RESTServiceClient, Endpoint

from .custom_query_object import CustomQueryObject
import os
import logging

logger = logging.getLogger(__name__)

_name_checker = compile(r"^[\w -]+$")


def _check_endpoint_type(name):
    if not isinstance(name, str):
        raise TypeError("Endpoint name must be a string")

    if name == "":
        raise ValueError("Endpoint name cannot be empty")


def _check_hostname(name):
    _check_endpoint_type(name)
    hostname_checker = compile(r"^^http(s)?://[\w.-]+(/)?(:\d+)?(/)?$")

    if not hostname_checker.match(name):
        raise ValueError(
            f"endpoint name {name} should be in http(s)://<hostname>"
            "[:<port>] and hostname may consist only of: "
            "a-z, A-Z, 0-9, underscore and hyphens."
        )


def _check_endpoint_name(name):
    """Checks that the endpoint name is valid by comparing it with an RE and
    checking that it is not reserved."""
    _check_endpoint_type(name)

    if not _name_checker.match(name):
        raise ValueError(
            f"endpoint name {name} can only contain: a-z, A-Z, 0-9,"
            " underscore, hyphens and spaces."
        )


class Client:
    def __init__(self, endpoint, query_timeout=1000):
        """
        Connects to a running server.

        The class constructor takes a server address which is then used to
        connect for all subsequent member APIs.

        Parameters
        ----------
        endpoint : str, optional
            The server URL.

        query_timeout : float, optional
            The timeout for query operations.
        """
        _check_hostname(endpoint)

        self._endpoint = endpoint

        session = requests.session()
        session.verify = False
        requests.packages.urllib3.disable_warnings()

        # Setup the communications layer.
        network_wrapper = RequestsNetworkWrapper(session)
        service_client = ServiceClient(self._endpoint, network_wrapper)

        self._service = RESTServiceClient(service_client)
        if not type(query_timeout) in (int, float) or query_timeout <= 0:
            query_timeout = 0.0
        self._service.query_timeout = query_timeout

    def __repr__(self):
        return (
            "<"
            + self.__class__.__name__
            + " object at "
            + hex(id(self))
            + " connected to "
            + repr(self._endpoint)
            + ">"
        )

    def get_status(self):
        """
        Gets the status of the deployed endpoints.

        Returns
        -------
        dict
            Keys are endpoints and values are dicts describing the state of
            the endpoint.

        Examples
        --------
        .. sourcecode:: python
            {
                u'foo': {
                    u'status': u'LoadFailed',
                    u'last_error': u'error mesasge',
                    u'version': 1,
                    u'type': u'model',
                },
            }
        """
        return self._service.get_status()

    #
    # Query
    #

    @property
    def query_timeout(self):
        """The timeout for queries in milliseconds."""
        return self._service.query_timeout

    @query_timeout.setter
    def query_timeout(self, value):
        if type(value) in (int, float) and value > 0:
            self._service.query_timeout = value

    def query(self, name, *args, **kwargs):
        """Query an endpoint.

        Parameters
        ----------
        name : str
            The name of the endpoint.

        *args : list of anything
            Ordered parameters to the endpoint.

        **kwargs : dict of anything
            Named parameters to the endpoint.

        Returns
        -------
        dict
            Keys are:
                model: the name of the endpoint
                version: the version used.
                response: the response to the query.
                uuid : a unique id for the request.
        """
        return self._service.query(name, *args, **kwargs)

    #
    # Endpoints
    #

    def get_endpoints(self, type=None):
        """Returns all deployed endpoints.

        Examples
        --------
        .. sourcecode:: python
            {"clustering":
              {"description": "",
               "docstring": "-- no docstring found in query function --",
               "creation_time": 1469511182,
               "version": 1,
               "dependencies": [],
               "last_modified_time": 1469511182,
               "type": "model",
               "target": null,
               "is_public": True}
            "add": {
              "description": "",
              "docstring": "-- no docstring found in query function --",
              "creation_time": 1469505967,
              "version": 1,
              "dependencies": [],
              "last_modified_time": 1469505967,
              "type": "model",
              "target": null,
              "is_public": False}
            }
        """
        return self._service.get_endpoints(type)

    def _get_endpoint_upload_destination(self):
        """Returns the endpoint upload destination."""
        return self._service.get_endpoint_upload_destination()["path"]

    def deploy(self, name, obj, description="", schema=None, override=False, is_public=False):
        """Deploys a Python function as an endpoint in the server.

        Parameters
        ----------
        name : str
            A unique identifier for the endpoint.

        obj :  function
            Refers to a user-defined function with any signature. However both
            input and output of the function need to be JSON serializable.

        description : str, optional
            The description for the endpoint. This string will be returned by
            the ``endpoints`` API.

        schema : dict, optional
            The schema of the function, containing information about input and
            output parameters, and respective examples. Providing a schema for
            a deployed function lets other users of the service discover how to
            use it. Refer to schema.generate_schema for more information on
            how to generate the schema.

        override : bool
            Whether to override (update) an existing endpoint. If False and
            there is already an endpoint with that name, it will raise a
            RuntimeError. If True and there is already an endpoint with that
            name, it will deploy a new version on top of it.

        is_public : bool, optional
            Whether a function should be public for viewing from within tableau. If
            False, function will not appear in the custom functions explorer within
            Tableau. If True, function will be visible ta anyone on a site with this
            analytics extension configured

        See Also
        --------
        remove, get_endpoints
        """
        endpoint = self.get_endpoints().get(name)
        version = 1
        if endpoint:
            if not override:
                raise RuntimeError(
                    f"An endpoint with that name ({name}) already"
                    ' exists. Use "override = True" to force update '
                    "an existing endpoint."
                )

            version = endpoint.version + 1

        obj = self._gen_endpoint(name, obj, description, version, schema, is_public)

        self._upload_endpoint(obj)

        if version == 1:
            self._service.add_endpoint(Endpoint(**obj))
        else:
            self._service.set_endpoint(Endpoint(**obj))

        self._wait_for_endpoint_deployment(obj["name"], obj["version"])

    def remove(self, name):
        '''Removes an endpoint dict.

        Parameters
        ----------
        name : str
            Endpoint name to remove'''
        self._service.remove_endpoint(name)

    def update_endpoint_info(self, name, description=None, schema=None, is_public=None):
        '''Updates description, schema, or is public for an existing endpoint

        Parameters
        ----------
        name : str
            Name of the endpoint that to be updated. If endpoint does not exist
            runtime error will be thrown

        description : str, optional
            The description for the endpoint. This string will be returned by
            the ``endpoints`` API.

        schema : dict, optional
            The schema of the function, containing information about input and
            output parameters, and respective examples. Providing a schema for
            a deployed function lets other users of the service discover how to
            use it. Refer to schema.generate_schema for more information on
            how to generate the schema.

        is_public : bool, optional
            Whether a function should be public for viewing from within tableau. If
            False, function will not appear in the custom functions explorer within
            Tableau. If True, function will be visible to anyone on a site with this
            analytics extension configured
        '''

        endpoint = self.get_endpoints().get(name)

        if not endpoint:
            raise RuntimeError(
                f"No endpoint with that name ({name}) exists"
                " Please select an existing endpoint to update"
            )

        if description is not None:
            if type(description) is not str:
                raise RuntimeError(
                    f"Type of description must be string"
                )
            endpoint.description = description
        if schema is not None:
            if type(schema) is not dict:
                raise RuntimeError(
                    f"Type of schema must be dictionary"
                )
            endpoint.schema = schema
        if is_public is not None:
            if type(is_public) is not bool:
                raise RuntimeError(
                    f"Type of is_public must be bool"
                )
            endpoint.is_public = is_public

        dest_path = self._get_endpoint_upload_destination()

        endpoint.src_path = os.path.join(
            dest_path, "endpoints", endpoint.name, str(endpoint.version)
        )

        self._service.set_endpoint(endpoint)

    def _gen_endpoint(self, name, obj, description, version=1, schema=None, is_public=False):
        """Generates an endpoint dict.

        Parameters
        ----------
        name : str
            Endpoint name to add or update

        obj :  func
            Object that backs the endpoint. See add() for a complete
            description.

        description : str
            Description of the endpoint

        version : int
            The version. Defaults to 1.

        is_public : bool
            True if function should be visible in the custom functions explorer
            within Tableau

        Returns
        -------
        dict
            Keys:
                name : str
                    The name provided.

                version : int
                    The version provided.

                description : str
                    The provided description.

                type : str
                    The type of the endpoint.

                endpoint_obj : object
                    The wrapper around the obj provided that can be used to
                    generate the code and dependencies for the endpoint.

        Raises
        ------
        TypeError
            When obj is not one of the expected types.
        """
        # check for invalid PO names
        _check_endpoint_name(name)

        if description is None:
            description = obj.__doc__.strip() or "" if isinstance(obj.__doc__, str) else ""

        endpoint_object = CustomQueryObject(query=obj, description=description,)

        return {
            "name": name,
            "version": version,
            "description": description,
            "type": "model",
            "endpoint_obj": endpoint_object,
            "dependencies": endpoint_object.get_dependencies(),
            "methods": endpoint_object.get_methods(),
            "required_files": [],
            "required_packages": [],
            "schema": copy.copy(schema),
            "is_public": is_public,
        }

    def _upload_endpoint(self, obj):
        """Sends the endpoint across the wire."""
        endpoint_obj = obj["endpoint_obj"]

        dest_path = self._get_endpoint_upload_destination()

        # Upload the endpoint
        obj["src_path"] = os.path.join(
            dest_path, "endpoints", obj["name"], str(obj["version"])
        )

        endpoint_obj.save(obj["src_path"])

    def _wait_for_endpoint_deployment(
        self, endpoint_name, version=1, interval=1.0,
    ):
        """
        Waits for the endpoint to be deployed by calling get_status() and
        checking the versions deployed of the endpoint against the expected
        version. If all the versions are equal to or greater than the version
        expected, then it will return. Uses time.sleep().
        """
        logger.info(
            f"Waiting for endpoint {endpoint_name} to deploy to " f"version {version}"
        )
        start = time.time()
        while True:
            ep_status = self.get_status()
            try:
                ep = ep_status[endpoint_name]
            except KeyError:
                logger.info(
                    f"Endpoint {endpoint_name} doesn't " "exist in endpoints yet"
                )
            else:
                logger.info(f"ep={ep}")

                if ep["status"] == "LoadFailed":
                    raise RuntimeError(f'LoadFailed: {ep["last_error"]}')

                elif ep["status"] == "LoadSuccessful":
                    if ep["version"] >= version:
                        logger.info("LoadSuccessful")
                        break
                    else:
                        logger.info("LoadSuccessful but wrong version")

            if time.time() - start > 10:
                raise RuntimeError("Waited more then 10s for deployment")

            logger.info(f"Sleeping {interval}...")
            time.sleep(interval)

    def set_credentials(self, username, password):
        """
        Set credentials for all the TabPy client-server communication
        where client is tabpy-tools and server is tabpy-server.

        Parameters
        ----------
        username : str
            User name (login). Username is case insensitive.

        password : str
            Password in plain text.
        """
        self._service.set_credentials(username, password)


1	1	import copy
2	1	from re import compile
3	1	import time
4	1	import requests
5
6	1	from .rest import RequestsNetworkWrapper, ServiceClient
7
8	1	from .rest_client import RESTServiceClient, Endpoint
9
10	1	from .custom_query_object import CustomQueryObject
11	1	import os
12	1	import logging
13
14	1	logger = logging.getLogger(__name__)
15
16	1	_name_checker = compile(r"^[\w -]+$")
17
18
19	1	def _check_endpoint_type(name):
20	1	if not isinstance(name, str):
21	1	raise TypeError("Endpoint name must be a string")
22
23	1	if name == "":
24	1	raise ValueError("Endpoint name cannot be empty")
25
26
27	1	def _check_hostname(name):
28	1	_check_endpoint_type(name)
29	1	hostname_checker = compile(r"^^http(s)?://[\w.-]+(/)?(:\d+)?(/)?$")
30
31	1	if not hostname_checker.match(name):
32	1	raise ValueError(
33		f"endpoint name {name} should be in http(s)://<hostname>"
34		"[:<port>] and hostname may consist only of: "
35		"a-z, A-Z, 0-9, underscore and hyphens."
36		)
37
38
39	1	def _check_endpoint_name(name):
40		"""Checks that the endpoint name is valid by comparing it with an RE and
41		checking that it is not reserved."""
42	1	_check_endpoint_type(name)
43
44	1	if not _name_checker.match(name):
45	1	raise ValueError(
46		f"endpoint name {name} can only contain: a-z, A-Z, 0-9,"
47		" underscore, hyphens and spaces."
48		)
49
50
51	1	class Client:
52	1	def __init__(self, endpoint, query_timeout=1000):
53		"""
54		Connects to a running server.
55
56		The class constructor takes a server address which is then used to
57		connect for all subsequent member APIs.
58
59		Parameters
60		----------
61		endpoint : str, optional
62		The server URL.
63
64		query_timeout : float, optional
65		The timeout for query operations.
66		"""
67	1	_check_hostname(endpoint)
68
69	1	self._endpoint = endpoint
70
71	1	session = requests.session()
72	1	session.verify = False
73	1	requests.packages.urllib3.disable_warnings()
74
75		# Setup the communications layer.
76	1	network_wrapper = RequestsNetworkWrapper(session)
77	1	service_client = ServiceClient(self._endpoint, network_wrapper)
78
79	1	self._service = RESTServiceClient(service_client)
80	1	if not type(query_timeout) in (int, float) or query_timeout <= 0:
81	1	query_timeout = 0.0
82	1	self._service.query_timeout = query_timeout
83
84	1	def __repr__(self):
85		return (
86		"<"
87		+ self.__class__.__name__
88		+ " object at "
89		+ hex(id(self))
90		+ " connected to "
91		+ repr(self._endpoint)
92		+ ">"
93		)
94
95	1	def get_status(self):
96		"""
97		Gets the status of the deployed endpoints.
98
99		Returns
100		-------
101		dict
102		Keys are endpoints and values are dicts describing the state of
103		the endpoint.
104
105		Examples
106		--------
107		.. sourcecode:: python
108		{
109		u'foo': {
110		u'status': u'LoadFailed',
111		u'last_error': u'error mesasge',
112		u'version': 1,
113		u'type': u'model',
114		},
115		}
116		"""
117	1	return self._service.get_status()
118
119		#
120		# Query
121		#
122
123	1	@property
124	1	def query_timeout(self):
125		"""The timeout for queries in milliseconds."""
126	1	return self._service.query_timeout
127
128	1	@query_timeout.setter
129	1	def query_timeout(self, value):
130	1	if type(value) in (int, float) and value > 0:
131	1	self._service.query_timeout = value
132
133	1	def query(self, name, args, *kwargs):
134		"""Query an endpoint.
135
136		Parameters
137		----------
138		name : str
139		The name of the endpoint.
140
141		*args : list of anything
142		Ordered parameters to the endpoint.
143
144		**kwargs : dict of anything
145		Named parameters to the endpoint.
146
147		Returns
148		-------
149		dict
150		Keys are:
151		model: the name of the endpoint
152		version: the version used.
153		response: the response to the query.
154		uuid : a unique id for the request.
155		"""
156	1	return self._service.query(name, args, *kwargs)
157
158		#
159		# Endpoints
160		#
161
162	1	def get_endpoints(self, type=None):
163		"""Returns all deployed endpoints.
164
165		Examples
166		--------
167		.. sourcecode:: python
168		{"clustering":
169		{"description": "",
170		"docstring": "-- no docstring found in query function --",
171		"creation_time": 1469511182,
172		"version": 1,
173		"dependencies": [],
174		"last_modified_time": 1469511182,
175		"type": "model",
176		"target": null,
177		"is_public": True}
178		"add": {
179		"description": "",
180		"docstring": "-- no docstring found in query function --",
181		"creation_time": 1469505967,
182		"version": 1,
183		"dependencies": [],
184		"last_modified_time": 1469505967,
185		"type": "model",
186		"target": null,
187		"is_public": False}
188		}
189		"""
190	1	return self._service.get_endpoints(type)
191
192	1	def _get_endpoint_upload_destination(self):
193		"""Returns the endpoint upload destination."""
194	1	return self._service.get_endpoint_upload_destination()["path"]
195
196	1	def deploy(self, name, obj, description="", schema=None, override=False, is_public=False):
197		"""Deploys a Python function as an endpoint in the server.
198
199		Parameters
200		----------
201		name : str
202		A unique identifier for the endpoint.
203
204		obj : function
205		Refers to a user-defined function with any signature. However both
206		input and output of the function need to be JSON serializable.
207
208		description : str, optional
209		The description for the endpoint. This string will be returned by
210		the ``endpoints`` API.
211
212		schema : dict, optional
213		The schema of the function, containing information about input and
214		output parameters, and respective examples. Providing a schema for
215		a deployed function lets other users of the service discover how to
216		use it. Refer to schema.generate_schema for more information on
217		how to generate the schema.
218
219		override : bool
220		Whether to override (update) an existing endpoint. If False and
221		there is already an endpoint with that name, it will raise a
222		RuntimeError. If True and there is already an endpoint with that
223		name, it will deploy a new version on top of it.
224
225		is_public : bool, optional
226		Whether a function should be public for viewing from within tableau. If
227		False, function will not appear in the custom functions explorer within
228		Tableau. If True, function will be visible ta anyone on a site with this
229		analytics extension configured
230
231		See Also
232		--------
233		remove, get_endpoints
234		"""
235	1	endpoint = self.get_endpoints().get(name)
236	1	version = 1
237	1	if endpoint:
238	1	if not override:
239		raise RuntimeError(
240		f"An endpoint with that name ({name}) already"
241		' exists. Use "override = True" to force update '
242		"an existing endpoint."
243		)
244
245	1	version = endpoint.version + 1
246
247	1	obj = self._gen_endpoint(name, obj, description, version, schema, is_public)
248
249	1	self._upload_endpoint(obj)
250
251	1	if version == 1:
252	1	self._service.add_endpoint(Endpoint(**obj))
253		else:
254	1	self._service.set_endpoint(Endpoint(**obj))
255
256	1	self._wait_for_endpoint_deployment(obj["name"], obj["version"])
257
258	1	def remove(self, name):
259		'''Removes an endpoint dict.
260
261		Parameters
262		----------
263		name : str
264		Endpoint name to remove'''
265		self._service.remove_endpoint(name)
266
267	1	def update_endpoint_info(self, name, description=None, schema=None, is_public=None):
268		'''Updates description, schema, or is public for an existing endpoint
269
270		Parameters
271		----------
272		name : str
273		Name of the endpoint that to be updated. If endpoint does not exist
274		runtime error will be thrown
275
276		description : str, optional
277		The description for the endpoint. This string will be returned by
278		the ``endpoints`` API.
279
280		schema : dict, optional
281		The schema of the function, containing information about input and
282		output parameters, and respective examples. Providing a schema for
283		a deployed function lets other users of the service discover how to
284		use it. Refer to schema.generate_schema for more information on
285		how to generate the schema.
286
287		is_public : bool, optional
288		Whether a function should be public for viewing from within tableau. If
289		False, function will not appear in the custom functions explorer within
290		Tableau. If True, function will be visible to anyone on a site with this
291		analytics extension configured
292		'''
293
294		endpoint = self.get_endpoints().get(name)
295
296		if not endpoint:
297		raise RuntimeError(
298		f"No endpoint with that name ({name}) exists"
299		" Please select an existing endpoint to update"
300		)
301
302		if description is not None:
303		if type(description) is not str:
304		raise RuntimeError(
305		f"Type of description must be string"
306		)
307		endpoint.description = description
308		if schema is not None:
309		if type(schema) is not dict:
310		raise RuntimeError(
311		f"Type of schema must be dictionary"
312		)
313		endpoint.schema = schema
314		if is_public is not None:
315		if type(is_public) is not bool:
316		raise RuntimeError(
317		f"Type of is_public must be bool"
318		)
319		endpoint.is_public = is_public
320
321		dest_path = self._get_endpoint_upload_destination()
322
323		endpoint.src_path = os.path.join(
324		dest_path, "endpoints", endpoint.name, str(endpoint.version)
325		)
326
327		self._service.set_endpoint(endpoint)
328
329	1	def _gen_endpoint(self, name, obj, description, version=1, schema=None, is_public=False):
330		"""Generates an endpoint dict.
331
332		Parameters
333		----------
334		name : str
335		Endpoint name to add or update
336
337		obj : func
338		Object that backs the endpoint. See add() for a complete
339		description.
340
341		description : str
342		Description of the endpoint
343
344		version : int
345		The version. Defaults to 1.
346
347		is_public : bool
348		True if function should be visible in the custom functions explorer
349		within Tableau
350
351		Returns
352		-------
353		dict
354		Keys:
355		name : str
356		The name provided.
357
358		version : int
359		The version provided.
360
361		description : str
362		The provided description.
363
364		type : str
365		The type of the endpoint.
366
367		endpoint_obj : object
368		The wrapper around the obj provided that can be used to
369		generate the code and dependencies for the endpoint.
370
371		Raises
372		------
373		TypeError
374		When obj is not one of the expected types.
375		"""
376		# check for invalid PO names
377	1	_check_endpoint_name(name)
378
379	1	if description is None:
380		description = obj.__doc__.strip() or "" if isinstance(obj.__doc__, str) else ""
381
382	1	endpoint_object = CustomQueryObject(query=obj, description=description,)
383
384	1	return {
385		"name": name,
386		"version": version,
387		"description": description,
388		"type": "model",
389		"endpoint_obj": endpoint_object,
390		"dependencies": endpoint_object.get_dependencies(),
391		"methods": endpoint_object.get_methods(),
392		"required_files": [],
393		"required_packages": [],
394		"schema": copy.copy(schema),
395		"is_public": is_public,
396		}
397
398	1	def _upload_endpoint(self, obj):
399		"""Sends the endpoint across the wire."""
400	1	endpoint_obj = obj["endpoint_obj"]
401
402	1	dest_path = self._get_endpoint_upload_destination()
403
404		# Upload the endpoint
405	1	obj["src_path"] = os.path.join(
406		dest_path, "endpoints", obj["name"], str(obj["version"])
407		)
408
409	1	endpoint_obj.save(obj["src_path"])
410
411	1	def _wait_for_endpoint_deployment(
412		self, endpoint_name, version=1, interval=1.0,
413		):
414		"""
415		Waits for the endpoint to be deployed by calling get_status() and
416		checking the versions deployed of the endpoint against the expected
417		version. If all the versions are equal to or greater than the version
418		expected, then it will return. Uses time.sleep().
419		"""
420	1	logger.info(
421		f"Waiting for endpoint {endpoint_name} to deploy to " f"version {version}"
422		)
423	1	start = time.time()
424	1	while True:
425	1	ep_status = self.get_status()
426	1	try:
427	1	ep = ep_status[endpoint_name]
428		except KeyError:
429		logger.info(
430		f"Endpoint {endpoint_name} doesn't " "exist in endpoints yet"
431		)
432		else:
433	1	logger.info(f"ep={ep}")
434
435	1	if ep["status"] == "LoadFailed":
436		raise RuntimeError(f'LoadFailed: {ep["last_error"]}')
437
438	1	elif ep["status"] == "LoadSuccessful":
439	1	if ep["version"] >= version:
440	1	logger.info("LoadSuccessful")
441	1	break
442		else:
443		logger.info("LoadSuccessful but wrong version")
444
445		if time.time() - start > 10:
446		raise RuntimeError("Waited more then 10s for deployment")
447
448		logger.info(f"Sleeping {interval}...")
449		time.sleep(interval)
450
451	1	def set_credentials(self, username, password):
452		"""
453		Set credentials for all the TabPy client-server communication
454		where client is tabpy-tools and server is tabpy-server.
455
456		Parameters
457		----------
458		username : str
459		User name (login). Username is case insensitive.
460
461		password : str
462		Password in plain text.
463		"""
464		self._service.set_credentials(username, password)
465

tableau / TabPy

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Client.update_endpoint_info() B

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