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@@ -1706,13 +1682,13 @@ files = [ [[package]] name = "referencing" -version = "0.32.0" +version = "0.32.1" description = "JSON Referencing + Python" optional = false python-versions = ">=3.8" files = [ - {file = "referencing-0.32.0-py3-none-any.whl", hash = "sha256:bdcd3efb936f82ff86f993093f6da7435c7de69a3b3a5a06678a6050184bee99"}, - {file = "referencing-0.32.0.tar.gz", hash = "sha256:689e64fe121843dcfd57b71933318ef1f91188ffb45367332700a86ac8fd6161"}, + {file = "referencing-0.32.1-py3-none-any.whl", hash = "sha256:7e4dc12271d8e15612bfe35792f5ea1c40970dadf8624602e33db2758f7ee554"}, + {file = "referencing-0.32.1.tar.gz", hash = "sha256:3c57da0513e9563eb7e203ebe9bb3a1b509b042016433bd1e45a2853466c3dd3"}, ] [package.dependencies] @@ -2273,4 +2249,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.9.7 || >3.9.7,<4.0" -content-hash = "890f901cb53d623dc895d1bbb6027e15f36b3f88406bce028a06e748b5f466f5" +content-hash = "acd8e001488e038ba7ca0110441d1aa7d697d984e6351d3bcb6224bfb177eaa4" diff --git a/pyproject.toml b/pyproject.toml index b3096132..4746cb78 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,6 +32,7 @@ streamlit-card = ">=0.0.4" markdownlit = ">=0.0.5" streamlit-image-coordinates = "^0.1.1" entrypoints = ">=0.4" +prometheus-client = ">=0.14.0" [tool.poetry.group.dev.dependencies] pytest = "^7.1.3" diff --git a/src/streamlit_extras/prometheus/__init__.py b/src/streamlit_extras/prometheus/__init__.py new file mode 100644 index 00000000..de9db747 --- /dev/null +++ b/src/streamlit_extras/prometheus/__init__.py @@ -0,0 +1,139 @@ +from typing import List, NamedTuple + +from prometheus_client import CollectorRegistry +from prometheus_client.openmetrics.exposition import generate_latest +from streamlit.runtime.stats import CacheStatsProvider + +from .. import extra + + +class CustomStat(NamedTuple): + metric_str: str = "" + + def to_metric_str(self) -> str: + return self.metric_str + + def marshall_metric_proto(self, metric) -> None: + """Custom OpenMetrics collected via protobuf is not currently supported.""" + # Included to be compatible with the RequestHandler's _stats_to_proto() method: + # https://github.com/streamlit/streamlit/blob/1.29.0/lib/streamlit/web/server/stats_request_handler.py#L73 + # Fill in dummy values so protobuf format isn't broken + label = metric.labels.add() + label.name = "cache_type" + label.value = "custom_metrics" + + label = metric.labels.add() + label.name = "cache" + label.value = "not_implemented" + + metric_point = metric.metric_points.add() + metric_point.gauge_value.int_value = 0 + + +class PrometheusMetricsProvider(CacheStatsProvider): + def __init__(self, registry: CollectorRegistry): + self.registry = registry + + def get_stats(self) -> List[CustomStat]: + """ + Use generate_latest() method provided by prometheus to produce the + appropriately formatted OpenMetrics text encoding for all the stored metrics. + + Then do a bit of string manipulation to package it in the format expected + by Streamlit's stats handler, so the final output looks the way we expect. + """ + DUPLICATE_SUFFIX = "\n# EOF\n" + output_str = generate_latest(self.registry).decode(encoding="utf-8") + if not output_str.endswith(DUPLICATE_SUFFIX): + raise ValueError("Unexpected output from OpenMetrics text encoding") + output = CustomStat(metric_str=output_str[: -len(DUPLICATE_SUFFIX)]) + return [output] + + +@extra +def streamlit_registry() -> CollectorRegistry: + """ + Expose Prometheus metrics (https://prometheus.io) from your Streamlit app. + + Create and use Prometheus metrics in your app with `registry=streamlit_registry()`. + The metrics will be exposed at Streamlit's existing `/_stcore/metrics` route. + + **Note:** This extra works best with Streamlit >= 1.31. There are known bugs with + some earlier Streamlit versions, especially 1.30.0. + + See more example metrics in the Prometheus Python docs: + https://prometheus.github.io/client_python/ + + To produce accurate metrics, you are responsible to ensure that unique metric + objects are shared across app runs and sessions. We recommend either 1) initialize + metrics in a separate file and import them in the main app script, or 2) initialize + metrics in a cached function (and ensure the cache is not cleared during execution). + + For an app running locally you can view the output with + `curl localhost:8501/_stcore/metrics` or equivalent. + """ + from streamlit import runtime + + stats = runtime.get_instance().stats_mgr + + # Did we already register it elsewhere? If so, return that copy + for prv in stats._cache_stats_providers: + if isinstance(prv, PrometheusMetricsProvider): + return prv.registry + + # This is the function was called, so create the registry + # and hook it into Streamlit stats + registry = CollectorRegistry(auto_describe=True) + prv = PrometheusMetricsProvider(registry=registry) + stats.register_provider(prv) + return registry + + +def example(): + import streamlit as st + from prometheus_client import Counter + + @st.cache_resource + def get_metric(): + registry = streamlit_registry() + return Counter( + name="my_counter", + documentation="A cool counter", + labelnames=("app_name",), + registry=registry, # important!! + ) + + SLIDER_COUNT = get_metric() + + app_name = st.text_input("App name", "prometheus_app") + latest = st.slider("Latest value", 0, 20, 3) + if st.button("Submit"): + SLIDER_COUNT.labels(app_name).inc(latest) + + st.write( + """ + View a fuller example that uses the (safer) import metrics method at: + https://github.com/arnaudmiribel/streamlit-extras/tree/main/src/streamlit_extras/prometheus/example + """ + ) + + st.write( + """ + ### Example output at `{host:port}/_stcore/metrics` + ``` + # TYPE my_counter counter + # HELP my_counter A cool counter + my_counter_total{app_name="prometheus_app"} 14.0 + my_counter_created{app_name="prometheus_app"} 1.7042185907557938e+09 + ``` + """ + ) + + +__title__ = "Prometheus" +__desc__ = "Expose Prometheus metrics (https://prometheus.io) from your Streamlit app." +__icon__ = "📊" +__examples__ = [example] +__author__ = "Joshua Carroll" +__experimental_playground__ = False +__stlite__ = False diff --git a/src/streamlit_extras/prometheus/example/README.md b/src/streamlit_extras/prometheus/example/README.md new file mode 100644 index 00000000..ad906575 --- /dev/null +++ b/src/streamlit_extras/prometheus/example/README.md @@ -0,0 +1,13 @@ +# Streamlit Prometheus example + +This repo has a simple example of a Streamlit app that exposes prometheus metrics via `streamlit_extras.prometheus`. + +It demonstrates the approach of creating metrics in a separate file and importing them into your main app file +for object persistence across runs. + +## Running the example + +```sh +pip install streamlit-extras +streamlit run app.py +``` diff --git a/src/streamlit_extras/prometheus/example/app.py b/src/streamlit_extras/prometheus/example/app.py new file mode 100644 index 00000000..0eae7c91 --- /dev/null +++ b/src/streamlit_extras/prometheus/example/app.py @@ -0,0 +1,28 @@ +import time +from random import random + +import streamlit as st +from metrics import EXEC_TIME, SLIDER_COUNT + +st.header("Streamlit app with Prometheus metrics") + +""" +1. Enter an app name and slider value and press Submit +1. At a terminal, do `curl localhost:8501/_stcore/metrics` to view the metrics generated +1. Note you can run this across multiple sessions and it aggregates the counter +""" + +start_time = time.time() + + +app_name = st.text_input("App name", "prometheus_app") +latest = st.slider("Latest value", 0, 20, 3) +if st.button("Submit"): + SLIDER_COUNT.labels(app_name).inc(latest) + st.toast("Successfully submitted") + +# Add a little variability to the response +time.sleep(random() / 2) +exec_time = time.time() - start_time +st.write(f"Exec time was {exec_time}") +EXEC_TIME.labels("main").observe(exec_time) diff --git a/src/streamlit_extras/prometheus/example/metrics.py b/src/streamlit_extras/prometheus/example/metrics.py new file mode 100644 index 00000000..e90e5407 --- /dev/null +++ b/src/streamlit_extras/prometheus/example/metrics.py @@ -0,0 +1,18 @@ +from prometheus_client import Counter, Histogram +from streamlit_extras.prometheus import streamlit_registry + +registry = streamlit_registry() + +SLIDER_COUNT = Counter( + name="slider_count", + documentation="Total submitted count of the slider", + labelnames=("app_name",), + registry=registry, +) + +EXEC_TIME = Histogram( + name="page_exec_seconds", + documentation="Execution time of each page run", + labelnames=("page",), + registry=registry, +)