public async Task PostAsync([FromBody] IssueEventPayload data)
{
IssueModel issueOrPullRequest = data.Issue ?? data.Pull_Request;
GithubObjectType issueOrPr = data.Issue == null ? GithubObjectType.PullRequest : GithubObjectType.Issue;
if (data.Action == "opened" && issueOrPullRequest.Labels.Count == 0)
{
string title = issueOrPullRequest.Title;
int number = issueOrPullRequest.Number;
string body = issueOrPullRequest.Body;
await Issuelabeler.PredictAndApplyLabelAsync(number, title, body, issueOrPr, Logger);
Logger.LogInformation("! Labeling completed");
}
else
{
Logger.LogInformation($"! The {issueOrPr} {issueOrPullRequest.Number} is already opened or it already has a label");
}
}
public async Task PredictAndApplyLabelAsync(int number, string title, string body, GithubObjectType issueOrPr, ILogger logger)
{
if (_client == null)
{
await GitSetupAsync();
}
if (_regex == null)
{
_regex = new Regex(@"@[a-zA-Z0-9_//-]+");
}
var userMentions = _regex.Matches(body).Select(x => x.Value).ToArray();
string label;
if (issueOrPr == GithubObjectType.Issue)
{
IssueModel issue = CreateIssue(number, title, body, userMentions);
label = Predictor.Predict(issue, logger, _threshold);
}
else
{
PrModel pr = await CreatePullRequest(number, title, body, userMentions);
label = Predictor.Predict(pr, logger, _threshold);
}
Issue issueGithubVersion = await _client.Issue.Get(_repoOwner, _repoName, number);
if (label != null && issueGithubVersion.Labels.Count == 0)
{
var issueUpdate = new IssueUpdate();
issueUpdate.AddLabel(label);
issueUpdate.Milestone = issueGithubVersion.Milestone?.Number; // The number of milestone associated with the issue.
await _client.Issue.Update(_repoOwner, _repoName, number, issueUpdate);
}
else
{
logger.LogInformation($"! The Model is not able to assign the label to the {issueOrPr} {number} confidently.");
}
}
public LabelSuggestion Predict(IssueModel issue, ILogger logger)
{
return(Predict(issue, _modelHolder.IssuePredEngine, logger));
}
public static string Predict(IssueModel issue, ILogger logger, double threshold)
{
return(Predict(issue, ref issuePredEngine, logger, threshold));
}