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How to use error_group method in grail

Best Python code snippet using grail_python

cloud_error_processing.py

Source:cloud_error_processing.py

1import os2import requests3import sys4from google.cloud import firestore5from googleapiclient.discovery import build6from google.cloud import secretmanager7# Add our library utils to the path8sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))9from lib.constants import ISSUES_API_URL10from lib.error_logger import ErrorLogger11class GithubIssueHandler(ErrorLogger):12    """ Handles posting issues to github using the personal access token stored in SecretsManager. """13    def __init__(self, gcs_project_name):14        self._username = "automation"  # This is ignored because we use an access token.15        self._gcs_project_name = gcs_project_name16        self._password = self._get_github_token()17    def _error_group_to_github_issue(self, error_group):18        title = "Automated error report"19        body = error_group["representative"]["message"]20        return {"title": title, "body": body}21    def _get_github_token(self):22        client = secretmanager.SecretManagerServiceClient()23        name = client.secret_version_path(self._gcs_project_name, "github-token", "latest")24        response = client.access_secret_version(name)25        return response.payload.data26    def post_error_to_github(self, error_group):27        """ Returns the issue url if successfully posted, else raises a ConnectionError exception """28        session = requests.Session()29        session.auth = (self._username, self._password)30        response = session.post(ISSUES_API_URL, json=self._error_group_to_github_issue(error_group))31        if response.status_code != 201:32            self.log_error("Could not create github issue.", status_code=response.status_code)33            raise ConnectionError()34        return response.json()["html_url"]35def register_new_errors(gcs_project_name):36    """ If new error groups are reported, log an issue on github with the details """37    service = build("clouderrorreporting", "v1beta1")38    errors_past_day = (39        service.projects()40        .groupStats()41        .list(projectName="projects/{}".format(gcs_project_name), timeRange_period="PERIOD_1_DAY")42        .execute()43    )44    gh_issue_handler = GithubIssueHandler(gcs_project_name)45    db = firestore.Client()46    errors_db = db.collection("errors")47    for error_group in errors_past_day["errorGroupStats"]:48        group_id = error_group["group"]["groupId"]49        if int(error_group["count"]) < 2:50            # Don't add one-off errors to the db51            continue52        doc = errors_db.document(group_id)53        if not doc.get().exists and error_group["group"]["resolutionStatus"] == "OPEN":54            try:55                error_group["group"]["trackingIssues"] = [56                    {"url": gh_issue_handler.post_error_to_github(error_group)}57                ]58                error_group["group"]["resolutionStatus"] = "ACKNOWLEDGED"59            except ConnectionError:60                # Could not create an issue61                # Don't add it to our known errors db, we can retry on the next scheduled job.62                continue63            # Now set it to acknowledged and link to the issue in Cloud Error Reporting.64            service.projects().groups().update(65                name=error_group["group"]["name"], body=error_group["group"]66            ).execute()67        doc.set(error_group)68if __name__ == "__main__":69    import os...

utils.py

Source:utils.py

1import numpy2def check_results_adequacy(results, error_group, check_nan=True):3    error_group.add_message("invalid_results")4    error_group.invalid_results.clear()5    def anynan(a):6        return numpy.any(numpy.isnan(a))7    if results is None:8        return None9    if results.data is None:10        error_group.invalid_results("Results do not include information on test data")11    elif not results.data.domain.has_discrete_class:12        error_group.invalid_results("Discrete outcome variable is required")13    elif check_nan and (14        anynan(results.actual)15        or anynan(results.predicted)16        or (results.probabilities is not None and anynan(results.probabilities))17    ):18        error_group.invalid_results("Results contains invalid values")19    else:...

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