Hi, I get the following error when using Datadog with Prometheus integration.
prometheus (3.0.0)
------------------
Instance ID: prometheus:99fffad4f445db41 [ERROR]
Total Runs: 2
Metric Samples: 0, Total: 0
Events: 0, Total: 0
Service Checks: 1, Total: 2
Average Execution Time : 17ms
Error: Unsupported content-type provided: text
Traceback (most recent call last):
File "/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/base/checks/base.py", line 366, in run
self.check(copy.deepcopy(self.instances[0]))
File "/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/base/checks/prometheus/base_check.py", line 108, in check
ignore_unmapped=True
File "/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/base/checks/prometheus/mixins.py", line 392, in process
for metric in self.scrape_metrics(endpoint):
File "/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/base/checks/prometheus/mixins.py", line 366, in scrape_metrics
for metric in self.parse_metric_family(response):
File "/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/base/checks/prometheus/mixins.py", line 235, in parse_metric_family
response.headers['Content-Type']))
UnknownFormatError: Unsupported content-type provided: text
Hi, I get the following error when using Datadog with Prometheus integration.
The cause of the error is
mimetype='text'
. https://github.com/epoch8/airflow-exporter/blob/master/prometheus_exporter.py#L125As prometheus/client_python, we have better to use
text/plain
instead oftext
.