Bump werkzeug in /docs/examples/fork-process-model/flask-gunicorn (open-telemetry#3179)

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 1.0.1 to 2.2.3.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@1.0.1...2.2.3)

---
updated-dependencies:
- dependency-name: werkzeug
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Leighton Chen <[email protected]>
Co-authored-by: Srikanth Chekuri <[email protected]>

Author: 3 people

CHANGELOG.md

@@ -7,7 +7,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
-## Version 1.16.0/0.37b0 (2023-02-17)
+- Add exponential histogram
+  ([#2964](https://github.com/open-telemetry/opentelemetry-python/pull/2964))
+
+## Version 1.16.0/0.37b0 (2023-02-15)
+
 - Change ``__all__`` to be statically defined.
   ([#3143](https://github.com/open-telemetry/opentelemetry-python/pull/3143))
 - Remove the ability to set a global metric prefix for Prometheus exporter
@@ -28,7 +32,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   ([#3156](https://github.com/open-telemetry/opentelemetry-python/pull/3156))
 - deprecate jaeger exporters
   ([#3158](https://github.com/open-telemetry/opentelemetry-python/pull/3158))
-
 - Create a single resource instance
   ([#3118](https://github.com/open-telemetry/opentelemetry-python/pull/3118))
 

docs/examples/fork-process-model/flask-gunicorn/requirements.txt

@@ -16,5 +16,5 @@ protobuf==3.18.3
 six==1.15.0
 thrift==0.13.0
 uWSGI==2.0.19.1
-Werkzeug==1.0.1
+Werkzeug==2.2.3
 wrapt==1.12.1

exporter/opentelemetry-exporter-otlp-proto-grpc/src/opentelemetry/exporter/otlp/proto/grpc/metric_exporter/__init__.py

@@ -60,6 +60,7 @@
     ResourceMetrics,
     ScopeMetrics,
     Sum,
+    ExponentialHistogram,
 )
 
 _logger = getLogger(__name__)
@@ -266,6 +267,40 @@ def _translate_data(
                                 metric.data.is_monotonic
                             )
                             pb2_metric.sum.data_points.append(pt)
+
+                    elif isinstance(metric.data, ExponentialHistogram):
+                        for data_point in metric.data.data_points:
+                            pt = pb2.ExponentialHistogramDataPoint(
+                                attributes=self._translate_attributes(
+                                    data_point.attributes
+                                ),
+                                time_unix_nano=data_point.time_unix_nano,
+                                start_time_unix_nano=(
+                                    data_point.start_time_unix_nano
+                                ),
+                                count=data_point.count,
+                                sum=data_point.sum,
+                                positive=pb2.ExponentialHistogramDataPoint.Buckets(
+                                    offset=data_point.positive.offset(),
+                                    bucket_counts=data_point.positive.bucket_counts,
+                                ),
+                                negative=pb2.ExponentialHistogramDataPoint.Buckets(
+                                    offset=data_point.negative.offset(),
+                                    bucket_counts=data_point.negative.bucket_counts,
+                                ),
+                                # positive=data_point.positive,
+                                # negative=data_point.negative,
+                                flags=data_point.flags,
+                                max=data_point.max,
+                                min=data_point.min,
+                            )
+                            pb2_metric.exponential_histogram.aggregation_temporality = (
+                                metric.data.aggregation_temporality
+                            )
+                            pb2_metric.exponential_histogram.data_points.append(
+                                pt
+                            )
+
                     else:
                         _logger.warning(
                             "unsupported data type %s",