fixing lint errors

exporter/opentelemetry-exporter-prometheus-remote-write/README.md

@@ -18,7 +18,7 @@ The controller periodically collects data and passes it to the exporter. This
 exporter then converts the data into [`timeseries`](https://prometheus.io/docs/concepts/data_model/) and sends it to the Remote Write integrated backend through HTTP
 POST requests. The metrics collection datapath is shown below:
 
-![Metrics collection datapath](https://user-images.githubusercontent.com/20804975/100286063-157f2a80-2f40-11eb-819d-f0aa46c1c2c8.png)
+![controller_datapath_final](https://user-images.githubusercontent.com/20804975/100486582-79d1f380-30d2-11eb-8d17-d3e58e5c34e9.png)
 
 See the `example` folder for a demo usage of this exporter
 
@@ -138,11 +138,10 @@ Users can add TLS to the exporter's HTTP Client by providing certificate and key
 * Histogram
 * LastValue
 * ValueObserver
-* Summary
 
 ## Error Handling
-In general, errors are returned to the calling function. The exception is for
-the exporter's `export()` method where any error status code is logged as a
+In general, errors are raised by the calling function. The exception is for
+failed requests where any error status code is logged as a
 warning instead.
 
 This is because the exporter does not implement any retry logic
@@ -172,5 +171,5 @@ If you would like to learn more about the exporter's structure and design decisi
 
 [Design Document](TODO: add link)
 
-This document is not in this repo as it contains large images which will
-significantly increase the size this repo.
+This document is stored elsewhere as it contains large images which will
+significantly increase the size of this repo.

exporter/opentelemetry-exporter-prometheus-remote-write/examples/sampleapp.py

@@ -1,26 +1,27 @@
-from logging import INFO
-from opentelemetry.sdk.metrics.export.aggregate import MinMaxSumCountAggregator
-import psutil
-import time
-import random
 import logging
+import random
 import sys
+import time
+import psutil
+
+from logging import INFO
+from opentelemetry.sdk.metrics.export.aggregate import MinMaxSumCountAggregator
 from opentelemetry import metrics
-from opentelemetry.sdk.metrics import MeterProvider
 from opentelemetry.exporter.prometheus_remote_write import (
     PrometheusRemoteWriteMetricsExporter,
 )
-from opentelemetry.sdk.metrics.view import View, ViewConfig
-
+from opentelemetry.sdk.metrics import MeterProvider
 from opentelemetry.sdk.metrics.export.aggregate import (
     HistogramAggregator,
     LastValueAggregator,
     MinMaxSumCountAggregator,
     SumAggregator,
 )
+from opentelemetry.sdk.metrics.view import View, ViewConfig
 
 logging.basicConfig(stream=sys.stdout, level=logging.INFO)
 logger = logging.getLogger(__name__)
+
 metrics.set_meter_provider(MeterProvider())
 meter = metrics.get_meter(__name__)
 exporter = PrometheusRemoteWriteMetricsExporter(
@@ -114,18 +115,17 @@ def get_ram_usage_callback(observer):
     label_keys=["os_type"],
     view_config=ViewConfig.LABEL_KEYS,
 )
-# This view has ViewConfig set to UNGROUPED, meaning all recorded metrics take
-# the labels directly without and consideration for label_keys
+
 counter_view3 = View(
     request_last_value,
     LastValueAggregator,
-    label_keys=["environment"],  # is not used due to ViewConfig.UNGROUPED
+    label_keys=["environment"],
     view_config=ViewConfig.UNGROUPED,
 )
 size_view = View(
     requests_size_histogram,
     HistogramAggregator,
-    label_keys=["environment"],  # is not used due to ViewConfig.UNGROUPED
+    label_keys=["environment"],
     aggregator_config={"bounds": [20, 40, 60, 80, 100]},
     view_config=ViewConfig.UNGROUPED,
 )