Comments (3)
Oh, I see. The goal is having at some point all the instrumentation with fewer changes, but at the moment some frameworks / libraries are excluded because they need more configuration otherwise something will not work (mostly if used as a standalone and not together with other instrumentation).
I will keep you updated anyway. Thank you for reaching us!
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Hello @vagelim! at the moment we're not auto patching requests
module with patch_all()
because we haven't defined yet how to handle the default service name (and resource name) when the root span is a requests span. As soon as we finish our internal specification, I'll write you here more details.
Is currently an issue for you, or it's more a generic question about having an ETA?
from dd-trace-py.
Hi @palazzem, I'd say it's a bit of both a general question and an issue because we much prefer to add tracing to our applications with the fewest changes to our source as possible. Using the ddtrace-run wrapper is our most preferred way to add Datadog APM to our applications, but we can continue to manually patch for requests (and celery & boto) without issue.
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Related Issues (20)
- Already mutably borrowed HOT 11
- Send custom tags when sending metrics with openai patch HOT 1
- Support Asynchronous IO for mysql-connector HOT 1
- GCP cloud function support HOT 2
- Best Practices for Long Running tasks HOT 1
- botocore SQS custom `MessageAttributes` are not being attached to spans HOT 3
- TypeError: type 'TracedMongoClient' is not subscriptable HOT 1
- OpenAI remaining requests / tokens and requests / tokens consumed are the same HOT 4
- Override aiohttp `distributed_tracing` and `split_by_domain` options per instance? HOT 1
- Agent using OpenAI `model` tags different from integrations HOT 1
- DataDog: instrumentation alters OpenAI Async interface behaviour HOT 2
- [feature] Selenium Integration HOT 2
- [LLMObs] Send llmobs events split by chunk if it's large enough HOT 2
- Redis logs command arguments even when not configured to do so. HOT 1
- UnboundLocalError: cannot access local variable 'result' where it is not associated with a value HOT 1
- "Error adding sample to profile (ddog_prof_Profile_add failed: Duplicate label on sample" error after enabling experimental profilers HOT 1
- Git executable not found error HOT 3
- What the size needed for the /tmp folder ? HOT 2
- ci_visibility: unittest integration not working with Django's manage.py in ddtrace==2.9.2 HOT 5
- 2.10.1 fails with read-only file system. HOT 3
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