How to use should_have_results method in robotframework-pageobjects

Best Python code snippet using robotframework-pageobjects_python

trial_model_utils.py

Source:trial_model_utils.py

1from dateutil import parser2import datetime as dt3import logging4logger = logging.getLogger(__name__)5# fields not in this map just get passed through6RENAME_FIELDS_MAP = {7    "NCTId": "id",8}9ORGANIZATION_FIELDS = ["org_full_name", "org_class"]10US_TERRITORIES = set([11    "United States",12    "American Samoa",13    "Guam",14    "Northern Mariana Islands",15    "Puerto Rico",16    "U.S. Virgin Islands"17])18def extract_institution_from_trial(trial):19    institution = {}20    for field in ORGANIZATION_FIELDS:21        institution[field] = trial.pop(field)22    return institution23def split_organization_trial(full_trial):24    trial = full_trial.copy()25    institution = {}26    for field in ORGANIZATION_FIELDS:27        value = trial.pop(field)28        value = "" if value is None else value29        institution[field] = value30    return institution, trial31def trial_from_response_data(response_data):32    trial_model = {RENAME_FIELDS_MAP.get(k, k): v for k, v in response_data.items()}33    for k, v in trial_model.items():34        if not isinstance(v, str):35            continue36        # convert date columns37        if  k.endswith("Date") and v is not None:38            trial_model[k] = parser.parse(v)39            continue40        # convert anything that looks boolean into a bool41        if v == "Yes":42            trial_model[k] = True43            continue44        elif v == "No":45            trial_model[k] = False46            continue47        # convert integers (I'm not aware of any floats in the schema)48        try:49            trial_model[k] = int(v)50            continue51        except ValueError:52            pass53    return dict_to_snake_case(trial_model)54def add_computed_fields(trial):55    """Adds Computed fields to a trial56    Fields related to https://clinicaltrials.gov/ct2/manage-recs/fdaaa57    should_have_results: the trial should have reported results by now58    is_late: the trial was late reporting results, but is not missing59    is_missing: the trial results should have been reported by now but are missing60    """61    add_applicable_trial_fields(trial)62    one_year = dt.timedelta(365)63    one_year_ago = trial["data_version"] - one_year64    # logger.info(trial)65    completion_date = trial["primary_completion_date"]66    is_applicable_trial = trial["is_applicable_trial"]67    trial["should_have_results"] = (68        is_applicable_trial and completion_date is not None and completion_date <= one_year_ago69    )70    results_date = trial["results_first_post_date"]71    if not trial['is_applicable_trial']:72        return trial73    trial["is_late"] = (74        trial["should_have_results"]75        and results_date is not None76        and results_date > (completion_date + one_year)77    )78    trial["is_missing"] = trial["should_have_results"] and not results_date79    trial["is_on_time"] = (80        trial["should_have_results"]81        and not trial["is_late"]82        and not trial["is_missing"]83    )84    return trial85def add_applicable_trial_fields(trial):86    """87    1) StudyType="Interventional"88    2) Any of:89        1) {"United States", "American Samoa", "Guam", "Northern Mariana Islands", "Puerto Rico", "U.S. Virgin Islands"} intersects with set(LocationCountry)90        2) [[Has IND or IDE Number]] - not publically available91        3) "Yes" in IsUSExport92    3) Either:93        1) IsFDARegulatedDrug and Phase != "Phase 1"94        2) IsUnapprovedDevice and DesignPrimaryPurpose != "Device Feasibility"95    :param trial: Trial dictionary96    :param rigorous: Whether to treat missing values as False (rigorous) or True (not rigorous)97    :return:98    """99    is_interventional = trial.get('study_type') == "Interventional"100    is_under_fda_oversight = (101        trial['location_country'] in US_TERRITORIES102        or trial['is_u_s_export']103    )104    is_major_drug_test = (105        trial['is_f_d_a_regulated_drug']106        and trial["phase"]107        and "Phase 1" not in trial["phase"]108    )109    is_major_device_test = (110        trial['is_unapproved_device']111        and trial["design_primary_purpose"] != "Device Feasibility"112    )113    trial['is_interventional'] = is_interventional114    trial['is_under_fda_oversight'] = is_under_fda_oversight115    trial['is_major_drug_test'] = is_major_drug_test116    trial['is_major_device_test'] = is_major_device_test117    trial['is_applicable_trial'] = (118        is_interventional119        and is_under_fda_oversight120        and (is_major_device_test or is_major_drug_test)121    )122def dict_to_snake_case(d):123    return {to_snake_case(k): v for k, v in d.items()}124def to_snake_case(str):...

test_fail.py

Source:test_fail.py

...5        widget_page = widget_rel_uri_attr.Page()6        widget_page.open()7        self.widget_search_result_page = widget_page.search("search term")8        # This assert should fail9        self.widget_search_result_page.should_have_results(2)10    def tearDown(self):11        self.widget_search_result_page.close()12if __name__ == "__main__":...

test_rel_uri_attr.py

Source:test_rel_uri_attr.py

...4    def test_search(self):5        widget_page = widget_rel_uri_attr.Page()6        widget_page.open()7        self.widget_search_result_page = widget_page.search("search term")8        self.widget_search_result_page.should_have_results(3)9    def tearDown(self):10        self.widget_search_result_page.close()11if __name__ == "__main__":...

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