client_python | Prometheus instrumentation library for Python applications | Analytics library
kandi X-RAY | client_python Summary
kandi X-RAY | client_python Summary
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Top functions reviewed by kandi - BETA
- Decorator to turn a function into a function
- Create a function definition
- Update this function s attributes
- Create a function from a source template
- Start a WSGI server
- Creates a WSGI app
- Create a decorator function from a caller
- Wrap a function
- Collect metrics for the gc
- Add a metric
- Creates a prometheus app
- Bake output
- Return information about the Java SDK
- Validate labelnames
- Creates a metric family
- Convert a text file to metric families
- Return the value class
- Provide information about the platform
- Observe counter
- Thread
- Increment the counter
- Return a generator that collects metrics
- Write the registry to a text file
- Handle GET request
- Set the labels for this metric
- The child samples
- Validate buckets
client_python Key Features
client_python Examples and Code Snippets
scrape_interval: 1m
scrape_timeout: 10s
FROM python:3.9.9-slim-buster
WORKDIR /
COPY wheels ./wheels
## INSTALL WITH APK
RUN apt-get update && apt-get install -y \
g++ \
gcc \
python3-dev \
libjpeg-dev \
zlib1g-dev \
make \
wget \
liba
if self.l2_norm:
masked_embedding = F.normalize(masked_embedding, p=2.0, dim=1, eps=1e-10)
if self.l2_norm:
norm = masked_embedding.norm(p=2, dim=1, keepdim=True) + 1e-10
masked_embedding /= norm
np.random.choice(list(candidate_sets))
[...]
candidate_sets = self.category2ims[item_type].keys()
attempts = 0
while item_out == item_id and attempts < 100:
choice = np.random.choice(candidate_sets)
[...]
heroku run bash -a
du -ha --max-depth 1 /app | sort -hr
python -m pip freeze
pip freeze > requirements.txt
[packages]
python-telegram-bot = "*"
python-google-places = "*"
[dev-packages]
Community Discussions
Trending Discussions on client_python
QUESTION
I'm trying to import performance test results history to Prometheus and faced a strange issue with the official Python Prometheus client.
Such code works correctly:
...ANSWER
Answered 2021-Dec-11 at 08:15I was able to successfully execute your code and query the metric in prometheus: https://replit.com/@pygeek1/ComplicatedAcidicAxis#main.py
I suspect that there is an issue with the Prometheus server. Ensure server time is set correctly. A similar issue was reported over a 1 year ago, caused by an issue regarding server time constantly changing: https://github.com/prometheus/prometheus/issues/6554
QUESTION
I already saw this thread: https://github.com/prometheus/client_python/issues/157 I wanted to know if there's a way to use the function decorator syntax with labels that will be instantiated at a later point? I need to fetch the label values from another service first. I am currently filling in some dummy values which will give me duplicated metrics and this actually doesn't work:
...ANSWER
Answered 2021-Sep-13 at 08:43Couldn't figure out how to do this with function decorators and instead used the context manager notation which works.
QUESTION
I am using the Prometheus Client library to push metrics to pushgateway. Frequently I am getting below error while pushing the metrics. How can I find the root cause of this issue?
...ANSWER
Answered 2020-Oct-07 at 08:14We use Kubernetes internally for deploying services, and here I am trying to Push metrics to push gateway using its ingress. Changing it to use Kubernetes service names instead of ingress reduced these errors significantly but this is not a portable solution incase if service is relocated to other cluster. Solution which worked for me is to do retry using python decorator functions
QUESTION
I am trying to service custom Prometheus metrics through Flask. Lookingg at https://github.com/prometheus/client_python, I have a code similar to:
...ANSWER
Answered 2020-Sep-27 at 15:57Solved the issue by registering my custom collector to the REGISTRY with
QUESTION
I have a service which currently exposes metrics with a prometheus client at port 8000.
I want to change this process to be a controlling parent process, who spawns one (independent) child process per "thing" i.e. the child process is parameterised by thing_id
and the parent calls systemctl start child@thing_id
The metrics exposed are independent per "thing", so I still want to expose these metrics per process, using a label thing
to identify and analyse accordingly.
However it seems I must run start_http_server(8000)
within each service, which will error due to "port already in use". I have tried only starting the server in the parent process, but none of the metrics from the child processes are observed.
I could define some port range and have one http server per process, and increase my number of targets accordingly, but that seems rather clunky.
I have looked into https://github.com/prometheus/client_python/blob/master/prometheus_client/multiprocess.py which I believe may be a solution, but thought there might be an easier way just using subprocessing and systemctl ...
...ANSWER
Answered 2020-May-14 at 20:46In the end I used prometheus "push gateway" to achieve this - creating within each child service a GatewayClient
who pushes based on a job id. The parent service does clean up when it stops a child process with delete_from_gateway
.
Installed push gateway with help from https://sysadmins.co.za/install-pushgateway-to-expose-metrics-to-prometheus/
Basic client code below
QUESTION
I am integrating Prometheus into my Kubernetes cluster with the helm chart I downloaded from https://github.com/helm/helm. I am using Azure to deploy my AKS if you must know. In each of my pod, the container runs a Docker image which includes the master_server.py
script that controls the workflow in my master pod.
I am trying to get some custom metrics off from my master pod via master_server.py
with the official Prometheus Python package - https://github.com/prometheus/client_python. My master_server.py
looks something like this,
master_server.py
(truncated)
ANSWER
Answered 2020-Jan-14 at 14:47Yes I got it working thanks to Charles' comments!
I was running a Tornado web server for my application in the master pod at port 8080 so that might have disrupted the Prometheus HTTP server to scrape the metrics out of the master pod.
In the end, I opened another port at 8081 in my master pod's deployment.yaml
like this,
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