fix(new_relic sink): Put log API attributes in separate structure

[bruceg]

The New Relic log API specifies that all attributes other than message and timestamp should go into an attributes field, which may contain any JSON object data except for arrays. This change reworks the logs API model to move all attributes from the log event into this attributes field as well as using structures to encode fields with fixed names instead of using dynamic maps.

The tests have also been updated to compare the overall structure of the output data model so as to ensure that the resulting encoding generated by serde matches what we is specified in the New Relic API documentation.

[datadog-vectordotdev]

Datadog Report

Branch report: bruceg/OPA-2327-fix-log-attributes
Commit report: 43861e2
Test service: vector

✅ 0 Failed, 7 Passed, 0 Skipped, 25.49s Total Time

[pront]

Looks reasonable 👍

[github-actions]

Regression Detector Results

Run ID: 100a3610-eb21-453d-a696-733863dbfe97 Metrics dashboard

Baseline: f83b47c
Comparison: 162d9b5

Performance changes are noted in the perf column of each table:

• ✅ = significantly better comparison variant performance
• ❌ = significantly worse comparison variant performance
• ➖ = no significant change in performance

Significant changes in experiment optimization goals

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

perf	experiment	goal	Δ mean %	Δ mean % CI	links
✅	syslog_splunk_hec_logs	ingress throughput	+5.62	[+5.51, +5.72]

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf	experiment	goal	Δ mean %	Δ mean % CI	links
✅	file_to_blackhole	egress throughput	+16.77	[+9.38, +24.15]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	links
✅	file_to_blackhole	egress throughput	+16.77	[+9.38, +24.15]
✅	syslog_splunk_hec_logs	ingress throughput	+5.62	[+5.51, +5.72]
➖	syslog_log2metric_humio_metrics	ingress throughput	+3.18	[+3.07, +3.30]
➖	datadog_agent_remap_datadog_logs	ingress throughput	+1.98	[+1.78, +2.17]
➖	fluent_elasticsearch	ingress throughput	+1.24	[+0.75, +1.73]
➖	syslog_humio_logs	ingress throughput	+0.77	[+0.69, +0.85]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	+0.70	[+0.59, +0.82]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+0.28	[+0.09, +0.47]
➖	http_to_http_noack	ingress throughput	+0.13	[+0.06, +0.21]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	+0.10	[-0.01, +0.21]
➖	http_to_http_json	ingress throughput	+0.02	[-0.02, +0.06]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	+0.01	[-0.08, +0.10]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	+0.01	[-0.07, +0.09]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	-0.01	[-0.14, +0.11]
➖	http_text_to_http_json	ingress throughput	-0.09	[-0.24, +0.05]
➖	http_to_s3	ingress throughput	-0.18	[-0.45, +0.09]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	-0.20	[-0.32, -0.09]
➖	otlp_grpc_to_blackhole	ingress throughput	-0.34	[-0.45, -0.23]
➖	http_to_http_acks	ingress throughput	-0.55	[-1.77, +0.68]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	-0.63	[-0.76, -0.51]
➖	http_elasticsearch	ingress throughput	-1.24	[-1.43, -1.04]
➖	splunk_hec_route_s3	ingress throughput	-1.68	[-1.98, -1.38]
➖	datadog_agent_remap_blackhole	ingress throughput	-2.08	[-2.19, -1.96]
➖	syslog_loki	ingress throughput	-2.12	[-2.21, -2.03]
➖	socket_to_socket_blackhole	ingress throughput	-3.63	[-3.70, -3.55]
➖	otlp_http_to_blackhole	ingress throughput	-3.83	[-3.94, -3.72]

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

3. Its configuration does not mark it "erratic".