docs: Add analytics to documentation site

[toby-coleman]

Summary

Enables analytics on the documentation site, so that we can understand which pages are most useful to users.

Changes

• Enable Google Analytics.
• Add cookie notice.

[gemini-code-assist]

Summary of Changes

Hello @toby-coleman, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request integrates analytics into the documentation site to gain insights into user behavior and the effectiveness of the content. By tracking page views and user interactions, the team can identify which pages are most useful and continuously improve the documentation. Additionally, a cookie consent mechanism has been implemented to ensure transparency and compliance regarding data collection.

Highlights

• Google Analytics Integration: Google Analytics has been enabled on the documentation site to track user engagement and page utility, using property ID G-99NL59QL5D.
• Cookie Consent Notice: A cookie consent notice has been added to inform users about data collection for improving documentation and to provide an option to manage cookie settings.

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[gemini-code-assist]

Code Review

This pull request enables Google Analytics and adds a cookie consent notice to the documentation site. The changes in mkdocs.yaml correctly configure these features for the mkdocs-material theme. I have one suggestion to improve maintainability by using an environment variable for the Google Analytics property ID, which avoids hardcoding it in the repository.

[github-actions]

Benchmark comparison for 79419bc7 (base) vs 10215258 (PR)

------------------------------------------------------------------------------------------------------------------- benchmark: 2 tests ------------------------------------------------------------------------------------------------------------------
Name (time in ms)                                                                         Min                 Max                Mean             StdDev              Median                IQR            Outliers     OPS            Rounds  Iterations
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_process_run (main/.benchmarks/Linux-CPython-3.12-64bit/0001_base)     440.8604 (1.0)      456.9295 (1.0)      447.2009 (1.0)       6.1731 (1.0)      445.6118 (1.0)       7.9051 (1.0)           2;0  2.2361 (1.0)           5           1
test_benchmark_process_run (pr/.benchmarks/Linux-CPython-3.12-64bit/0001_pr)         448.7434 (1.02)     517.4408 (1.13)     469.8276 (1.05)     28.0078 (4.54)     461.0141 (1.03)     31.8553 (4.03)          1;0  2.1284 (0.95)          5           1
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

📢 Thoughts on this report? Let us know!

[github-actions]

Benchmark comparison for 79419bc7 (base) vs fa3be3cb (PR)

------------------------------------------------------------------------------------------------------------------- benchmark: 2 tests ------------------------------------------------------------------------------------------------------------------
Name (time in ms)                                                                         Min                 Max                Mean             StdDev              Median                IQR            Outliers     OPS            Rounds  Iterations
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_process_run (main/.benchmarks/Linux-CPython-3.12-64bit/0001_base)     444.9449 (1.0)      450.2193 (1.0)      447.5532 (1.0)       2.0410 (1.0)      447.1329 (1.0)       2.9986 (1.0)           2;0  2.2344 (1.0)           5           1
test_benchmark_process_run (pr/.benchmarks/Linux-CPython-3.12-64bit/0001_pr)         448.6095 (1.01)     490.4109 (1.09)     466.9026 (1.04)     18.3721 (9.00)     457.0907 (1.02)     30.4633 (10.16)         1;0  2.1418 (0.96)          5           1
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean