docs: add documentation for timeseries#83
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📝 WalkthroughWalkthroughUpdated English and Russian public API docs to describe timeseries-capable aggregations, note AGG_FUNC_UNIQUE is not supported in timeseries, and add COUNT-with-interval request/response examples (duplicated in each doc). Minor formatting adjustment (trailing newline). Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Assessment against linked issues
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Actionable comments posted: 2
🧹 Nitpick comments (4)
docs/ru/10-public-api.md (2)
182-182: Wording and terminology: replace “таймсерии” and fix agreementUse the standard Russian term and tighten the phrasing.
-Полям документов, соответствующим запросу. Также агрегации поддерживают вычисление статистических значений среди различных временных интервалов (также известные как таймсерии). +полям документов, соответствующим запросу. Также агрегации поддерживают вычисление статистических значений по различным временным интервалам (временные ряды, time series).
199-199: Consistency: “таймсерий” → “тайм-серий” (or use “временных рядов”)Use consistent terminology and correct hyphenation.
-- `AGG_FUNC_UNIQUE` — вычисление уникальных значений поля (не поддерживается для вычисления таймсерий) +- `AGG_FUNC_UNIQUE` — вычисление уникальных значений поля (не поддерживается для тайм-серий)docs/en/10-public-api.md (2)
182-182: Minor wording: “timeseries” → “time series”; streamline phrasingSmall editorial polish for readability.
-that match the query. Also aggregations support computation of statistical values within different time intervals (also known as timeseries). +that match the query. Aggregations also support computing statistical values across time intervals (also known as time series).
198-199: Clarify scope: UNIQUE not supported “for time-series aggregations”This is a bit clearer than “in timeseries”.
-- `AGG_FUNC_UNIQUE` — computation of unique field values (not supported in timeseries) +- `AGG_FUNC_UNIQUE` — computation of unique field values (not supported for time-series aggregations)
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docs/en/10-public-api.md(4 hunks)docs/ru/10-public-api.md(4 hunks)
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docs/ru/10-public-api.md
[grammar] ~182-~182: Ensure spelling is correct
Context: ...и различных временных интервалов (также известные как таймсерии). Агрегации можно вызыва...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
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Actionable comments posted: 0
♻️ Duplicate comments (1)
docs/ru/10-public-api.md (1)
444-491: COUNT-with-interval example: JSON and headings look correct now.Trailing/missing commas are fixed, and headings localized to Russian. The interval usage and ts stepping are coherent.
🧹 Nitpick comments (1)
docs/ru/10-public-api.md (1)
182-182: Fix grammatical agreement and terminology (“тайм‑серии”).Parenthetical should agree with “временных интервалов” and use the standard term.
Apply this diff:
- полям документов, соответствующим запросу. Также агрегации поддерживают вычисление статистических значений среди различных временных интервалов (также известные как таймсерии). + полям документов, соответствующим запросу. Также агрегации поддерживают вычисление статистических значений среди различных временных интервалов (также известных как тайм-серии).
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
💡 Knowledge Base configuration:
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📒 Files selected for processing (2)
docs/en/10-public-api.md(4 hunks)docs/ru/10-public-api.md(4 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- docs/en/10-public-api.md
🧰 Additional context used
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docs/ru/10-public-api.md
[grammar] ~182-~182: Ensure spelling is correct
Context: ...и различных временных интервалов (также известные как таймсерии). Агрегации можно вызыва...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🔇 Additional comments (1)
docs/ru/10-public-api.md (1)
199-199: Good clarification about UNIQUE in time series.Explicitly noting that AGG_FUNC_UNIQUE isn’t supported for time-series is helpful and prevents misuse.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #83 +/- ##
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+ Coverage 73.44% 73.46% +0.01%
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Files 193 193
Lines 16015 16015
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+ Hits 11762 11765 +3
+ Misses 3662 3660 -2
+ Partials 591 590 -1 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Closes #82
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