KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use get_wa method in avocado

Best Python code snippet using avocado_python

calc.py

Source:calc.py

...153                else:154                    #### Attempt #4 (DuckDuckGo's HTML)155                    ## This relies on BeautifulSoup; if it can't be found, don't even bother156                    #### Attempt #3 (Wolfram Alpha)157                    status, answer = get_wa(q)158                    if status:159                        jenni.say(answer + ' [WA]')160                    else:161                        ## If we made it this far, we have tried all available resources162                        jenni.say('Absolutely no results!')163c.commands = ['c', 'cal', 'calc']164c.example = '.c 5 + 3'165def py(jenni, input):166    """.py <code> -- evaluates python code"""167    code = input.group(2)168    if not code:169        return jenni.reply('No code provided.')170    query = code.encode('utf-8')171    uri = 'https://tumbolia-two.appspot.com/py/'172    try:173        answer = web.get(uri + web.urllib.quote(query))174        if answer is not None and answer != "\n":175            jenni.say(answer)176        else:177            jenni.reply('Sorry, no result.')178    except Exception, e:179        jenni.reply('The server did not return an answer.')180py.commands = ['py', 'python']181py.example = '.py print "Hello world, %s!" % ("James")'182def get_wa(search):183    txt = search184    txt = txt.decode('utf-8')185    txt = txt.encode('utf-8')186    query = txt187    uri = 'https://tumbolia-two.appspot.com/wa/'188    uri += urllib.quote(query.replace('+', '%2B'))189    answer = web.get(uri)190    if answer:191        answer = answer.decode("string_escape")192        answer = HTMLParser.HTMLParser().unescape(answer)193        match = re.search('\\\:([0-9A-Fa-f]{4})', answer)194        if match is not None:195            char_code = match.group(1)196            char = unichr(int(char_code, 16))197            answer = answer.replace('\:' + char_code, char)198        waOutputArray = string.split(answer, ";")199        newOutput = list()200        for each in waOutputArray:201            temp = each.replace('\/', '/')202            newOutput.append(temp)203        waOutputArray = newOutput204        if (len(waOutputArray) < 2):205            return True, answer206        else:207            return True, waOutputArray[0] + ' | ' + ' | '.join(waOutputArray[1:4])208        waOutputArray = list()209    else:210        return False, str()211def wa(jenni, input):212    """.wa <input> -- queries WolframAlpha with the given input."""213    if not input.group(2):214        return jenni.reply("No search term.")215    txt = input.group(2)216    txt = txt.encode('utf-8')217    txt = txt.decode('utf-8')218    txt = txt.encode('utf-8')219    status, answer = get_wa(txt)220    if status:221        jenni.say(answer)222    else:223        jenni.say('Sorry, no result from WolframAlpha.')224wa.commands = ['wa', 'wolfram']225wa.example = '.wa land area of the European Union'226if __name__ == '__main__':...

wao.py

Source:wao.py

...3from django.db import transaction4from api.models import (Classifier, Project, CredentialWA,5                        Label, Data, Pool, PredictProba)6from main.celery import async_wao_update7def get_wa(project_id, version='2018-09-20'):8    """9    Gets WA object from IBM lib10    """11    url, api_key = get_credentials(project_id)12    wa = AssistantV1(13        version=version,14        iam_apikey=api_key,15        url=url16    )17    return wa18def get_credentials(project_id):19    credentials = CredentialWA.objects.get(project__id=project_id)20    url = credentials.url21    api_key = credentials.api_key22    return (url, api_key)23def update(body, project_id):24    ''' wrapper necessary for testing '''25    async_wao_update.delay(body, project_id)26def get_logs(project_id, is_first=False, is_accuracy=False):27    """update logs based on last log date"""28    clf = Classifier.objects.get(29        project__id=project_id, is_accuracy=is_accuracy)30    project = Project.objects.get(id=project_id)31    response = {}32    if is_first:33        response = get_wa(project_id).list_logs(34            workspace_id=clf.ibm_classifier_id,35            sort='request_timestamp',36        ).get_result()37    else:38        query_filter = "response_timestamp>" + clf.log_date39        response = get_wa(project_id).list_logs(40            workspace_id=clf.ibm_classifier_id,41            sort='request_timestamp',42            filter=query_filter43        ).get_result()44    with transaction.atomic():45        if response["logs"]:46            for log in response["logs"]:47                new_data = Data(48                    project=project,49                    content=log["request"]["input"]["text"]50                )51                new_data.save()52                new_pool = Pool(data=new_data)53                new_pool.save()54                label = Label.objects.get(55                    project__id=project_id,56                    label=log["response"]["intents"][0]["intent"]57                )58                new_proba = PredictProba(59                    label=label,60                    pool=new_pool,61                    proba=log["response"]["intents"][0]["confidence"]62                )63                new_proba.save()64            last_log_time = response["logs"][-1]["response_timestamp"]65            clf.log_date = last_log_time66            clf.save()67def get_intents(project_id, is_accuracy=False):68    """populate labels with assistant intents"""69    clf = Classifier.objects.get(70        project__id=project_id, is_accuracy=is_accuracy)71    project = Project.objects.get(id=project_id)72    response = get_wa(project_id).list_intents(73        workspace_id=clf.ibm_classifier_id74    ).get_result()75    with transaction.atomic():76        for intent in response["intents"]:77            new_label = Label(label=intent["intent"], project=project)78            new_label.save()79def update_intent(pool_id, label_id, project_id, label, is_accuracy=False):80    """creates an example on an intent based on the rotulated log"""81    clf = Classifier.objects.get(82        project__id=project_id, is_accuracy=is_accuracy)83    get_wa(project_id).create_intent(84        workspace_id=clf.ibm_classifier_id,85        intent=label,86        examples=[87            {'text': Data.objects.get(id=pool_id).content}88        ]89    )90    try:91        response = get_wa(project_id).create_example(92            workspace_id=clf.ibm_classifier_id,93            intent=Label.objects.get(id=label_id).label,94            text=Data.objects.get(id=pool_id).content95        )96    except Exception as e:97        """98        Tries to upload new example to intent, but it might exist already.99        """100        pass...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.