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...

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