How to use error_group method in grail

Best Python code snippet using grail_python

cloud_error_processing.py

Source: cloud_error_processing.py Github

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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...

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utils.py

Source: utils.py Github

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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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