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grandwizard28
a0b2025a5d chore: simplify PR template and add agent rules
- replace the multi-section PR template with four concise headings
- add .claude/rules/ covering comments (repo-wide, Go, Python) and pull requests
- ignore .dev/ and .claude/worktrees/ in .gitignore
2026-08-07 16:44:54 +05:30
Pandey
53ab4546bc chore(deps): bump clickhouse-sql-parser to v0.5.5 (#12454)
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Bumps `clickhouse-sql-parser` to v0.5.5, fixes the false rejection that
was left over once it landed, and closes three holes in the same
validator that the first two changes brought to light.

## The bump

**Reserved keywords as expression operands**
([#305](https://github.com/AfterShip/clickhouse-sql-parser/pull/305)).
`interval` was fixed in v0.5.4, but the same defect affected 36 other
keywords once the column appeared as an operand rather than bare.
Sweeping 94 candidates against ClickHouse 26.8.1.337, only `on` still
rejects — and ClickHouse runs that too. This one was live: `sum(limit)`
on a metric label.

**Panic on an unparseable `DEFAULT` expression**
([#306](https://github.com/AfterShip/clickhouse-sql-parser/pull/306)).
Both known cases return a parse error now instead of dereferencing nil.
The `recover` in `ErrIfStatementIsNotValid` stays — it guards the next
one of these, not these two.

[#307](https://github.com/AfterShip/clickhouse-sql-parser/pull/307) also
allows `CAST` in a table function's argument list.

## Table functions are only table functions in a table position

The parser types a call inside a table function's argument list as a
`TableFunctionExpr` as well, so the generator allow list only ever
cleared a generator whose argument was a literal. Every real dashboard
computes its row count — `numbers(greatest(1, intDiv(end_ns - start_ns,
step_ns) + 1))` — and every one was refused, on `intDiv` rather than on
`numbers`.

`TableExpr.Expr` is the only table position a SELECT can reach, so the
allow list asks that instead. Of the four places the parser builds a
`TableFunctionExpr`, two are `CREATE TABLE` paths rejected as
not-a-SELECT before the walk starts, one is `parseTableArgPrimaryExpr`,
and one is the `FROM`/`JOIN` path that wraps into a `TableExpr`.

## Three holes that were already open

Skipping argument position is only safe if nothing there can read, and
that turned out not to be true — not because of this change, but
independently of it.

**Reading functions.** `file` is both a table function and a scalar
function, and the validator never inspected scalar calls at all. On
`main` today, `SELECT file('/etc/passwd')` is accepted and returns the
file. A numeric wrapper passes ClickHouse's type check, so the row count
alone is an oracle: `numbers(length(file(x)))` yields one row per byte.
The same applies to the 42 dictionary accessors, which can be backed by
HTTP, ODBC or another database, to `catboostEvaluate`, and to the
introspection functions. All are now refused by name wherever they
appear, under `clickhouse_sql_reading_function`.

**`x IN db.table`.** ClickHouse reads this as `x IN (SELECT * FROM
db.table)`, and a qualified name on the right of `IN` parses as a
`Path`, not a `TableIdentifier` — so `SELECT * FROM t WHERE a IN
system.users` bypassed the internal-database rule entirely. Now checked,
including the `GLOBAL IN` and `NOT IN` forms.

**Quoted generator names.** The allow list matched on the formatted
name, which carries the quoting, so ``SELECT * FROM `numbers`(31)`` was
refused. It now reads the identifier the way the internal-database
branch already did.

## Effect

Replaying 72 distinct shapes of production `clickhouse_sql` that the
validator currently rejects: **64 pass, up from 59 on v0.5.4**. Two came
from the bump, three from the table-position change, and those three are
379 of the 1390 sampled occurrences. The three new rules add no false
positives to the corpus.

Of the eight left, four are correct rejections (`system` reads, `SHOW
TABLES`), one is a dashboard variable rendering as the literal `<no
value>`, one is SQL ClickHouse also rejects, and two are an open
upstream gap.

## Tests

`TestErrIfStatementIsNotValid_ShouldPassButFails` is back, holding what
remains: three forms of a parenthesised left operand of a set operator,
and `on` as a column name. It also stopped panicking — `errors.Asc`
dereferences the error it is given, so a case starting to pass took the
suite out with a SIGSEGV instead of reporting. Both refusal tables now
share one harness, bounded by the same timeout the passing table uses.

Known gap: no input is currently known to panic the parser, so the
`recover` has no test exercising it.
2026-08-07 10:39:21 +00:00
Srikanth Chekuri
5c0dfe2ad1 feat(promql): transpile allowlisted query shapes to ClickHouse grid statements (#12325)
> **Stack** (review in order; each PR's diff is against its
predecessor):
> 1. #12323 `v2-read-path` — v2 native read path (leaf package)
> 2. #12324 `v2-wiring` — wiring, shadow/pin rollout machinery, dual-leg
conformance
> 3. #12325 `v2-transpiler` — PromQL→ClickHouse transpiler +
classification golden
> 4. #12093 `issue-4293` — the /prometheus API move (breaking slice,
last)

### What

The performance half of the v2 provider: an allowlist compiler
(`classify`/`rewrite`) that evaluates proven PromQL shapes entirely
inside
ClickHouse on the `timeSeries*ToGrid` aggregate functions (CH ≥ 25.6),
so one
row per output series comes back instead of every raw sample. Everything
not
provably equivalent falls back to the engine over the PR-1 querier; a
transpilable subtree under a non-transpilable node runs hybrid (subtree
materialized as synthetic series, engine on top). `TryExecuteRange`
slots
into the PR-2 serve/shadow paths (until now engine-only) through the new
`prometheus.RangeExecutor` capability interface — the provider stays
unexported and pkg/querier keeps holding `prometheus.Prometheus`;
providers
without the capability (v1) simply never transpile. The capability folds
into the main interface once v1 is removed.

Highlights (docs/contributing/prometheus.md carries the full correctness
story):

- Range functions map to verified grid aggregates; `increase` is
  `rate × range` exactly (same extrapolated delta, factor algebra).
- Instant selectors reproduce stale-marker shadowing with a
three-aggregate
  compare — skipping stale rows in WHERE would resurrect the sample the
  marker buried.
- `*_over_time` at range = k·step aggregates whole step buckets
  (`groupArrayInsertAt` + slide) — no per-window fan-out, no prefix-sum
  differencing.
- **Window-sliver filtering** (the headline perf commit, folded here):
when
the window is narrower than the step, only window/step of the timeline
can
influence any grid point; a lattice predicate in WHERE cuts the
aggregate's
  input by the coverage ratio — measured 74s/28GiB → 16s/4.3GiB on a
  36k-series 1w rate, and a 2.67B-sample case that exceeded 150GiB now
completes in 19s/17GiB. Over sliver-filtered rows the last-style gates
lift
(instant selectors and `last_over_time` transpile at window < step), and
  disjoint-window `*_over_time` forms drop the divisibility gate.
- Scalar-op pipelines apply in Go, slot by slot — same float64 ops, same
  order the AST dictates.

Two guards land with it:

- **Classification golden** (`classification_golden_test.go` +
  `testdata/classification_golden.json`): freezes the route
(full/hybrid(n)/fallback + reason) of every conformance-corpus
expression,
one line each — 317 expressions: 132 full, 39 hybrid, 146 fallback. The
test also requires each expression to route the same on every corpus
grid;
if a classifier change ever makes the route grid-dependent, the test
fails
  and the key must grow. Routing is its own
correctness surface — silently falling back costs the pushdown, silently
  transpiling an unproven shape risks wrong numbers; both now show up in
review as a golden diff, with the corpus suite's v2 leg judging the
numbers.
- **Workload coverage reporter** (`TestClassifyCorpus`, env-gated):
classifies
a JSON-lines corpus of real dashboard/alert queries and buckets
fallbacks
  by reason, to steer future allowlist work.

**What the dual-leg suite caught on its first transpiled run** (evidence
the
PR-2 guard works, worth stating in review):

- The classifier read a duration expression's offset (`x offset step()`)
as
  zero and transpiled it — offset expressions parse *without* the
experimental-parser flag, so they reach production. 20 corpus cases
served
  silently wrong numbers. Fixed by refusing `OriginalOffsetExpr` /
`RangeExpr` / `StepExpr` at classification (engine evaluates them
exactly);
  regression cases added, golden regenerated (30 routings flipped to
  fallback).
- Name-drop assembly treated temporally-disjoint same-labelset twins as
  separate series: `-{job="api"}` spanning `http_requests`/`http_errors`
  returned a 400 the engine would not raise, and hybrid
  `-metric_a or -metric_b` returned duplicate `{}` series. The engine's
  actual rule is: assemble the matrix by labelset, merging elements that
  never share an evaluation timestamp; error only on a same-timestamp
  conflict. Both the full-plan path (`mergeSameLabelsetSeries`) and the
hybrid post-strip path (`mergeMatrixByLabelset`) now reproduce it, with
  unit tests pinning the corpus scenarios.
- 12 remaining divergences, all one class, recorded in
`known_divergences_v2.json` with causes: the engine aggregates with
Kahan
compensated summation (sum, sum_over_time) and an overflow-free
incremental
mean (avg); ClickHouse's `sumForEach`/`avgForEach`/`arraySum` are naive,
so
±1e100 cancellation returns 0/residue and near-max-float64 `avg`
overflows
to ±Inf. Burn-down note: `sumKahanForEach` for the cancellation class;
the
overflow class needs an incremental-mean aggregate ClickHouse doesn't
have.

### Alternatives considered and discarded

- **General PromQL→SQL translation.** An allowlist inverts the failure
mode:
an overlooked construct becomes a fallback instead of a wrong number.
Every
shape on the list was validated slot-for-slot against the vendored
engine
  on live data before entering it.
- **ClickHouse's own PromQL dialect** (ClickHouse#57545,
`dialect='promql'`).
  Emits the same grid functions, but currently covers only
rate/irate/delta/idelta/last_over_time, has no fallback engine, and ties
us
to their TimeSeries table engine. We use the same primitives with our
own
  classifier and our own exactness gates.
- **Prefix-sum differencing for `*_over_time` windows.**
Large-minus-large
  cancellation drifts past the shadow tolerance on counter-sized values;
direct per-slot combination of at most W bucket partials adds the way
the
  engine adds.
- **Fanning each sample into every window that covers it.** Multiplies
rows
by W — billions of rows for a long range over a short step; the bucketed
  form's row count is series × buckets, the size of the output.
- **Handling staleness by filtering stale rows in WHERE (instant
units).**
Resurrects the older real sample the marker was written to bury; hence
the
  last-overall vs last-non-stale timestamp comparison.
- **Transpiling @-modifier and default-resolution subqueries.** Their
evaluation grid depends on server runtime settings the transpiler cannot
  see; they stay on the (exact) engine path.

### Test plan

- `go test ./pkg/prometheus/clickhouseprometheusv2` — transpiler unit
tests
  (SQL forms, classification, scalar ops, subquery grids), golden.
- `pytest integration/tests/promqlconformance/` — the v2 leg now
exercises
transpiled serving for every routable corpus case; ledger unchanged
(empty).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Pandey <vibhupandey28@gmail.com>
2026-08-07 10:07:32 +00:00
Pandey
bb3f5818c1 fix(sentry): stop reporting self-healed chunk load failures (#12440)
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A tab that outlives a deploy requests hashed assets the new build no
longer has. `lazyRetry` already recovers from this by reloading once, so
the resulting errors are noise — they spike on every deploy and each one
burns a Session Replay (`replaysOnErrorSampleRate: 1.0`).

### Sentry `ignoreErrors`

Filters the whole class. Four patterns because the same failure is
worded differently per source:

| Pattern | Source |
|---|---|
| `Unable to preload CSS for` | Vite's own thrown `Error`, identical
everywhere |
| `Failed to fetch dynamically imported module` | Chromium |
| `error loading dynamically imported module` | Firefox |
| `Importing a module script failed` | Safari |

`ignoreErrors` is applied as an event processor (`@sentry/core`
`eventFilters.js`), so the event is dropped before transport. Replay's
error flush hooks `afterSendEvent`, which never fires for a dropped
event — so this stops the replay burn too, not just the issue count.

Trade-off, stated plainly: stale-asset failures now produce no Sentry
signal at all, including the case where the reload doesn't fix it. A
genuinely broken deploy has to be caught from asset 404 rates rather
than from Sentry.

### `lazyRetry`

Behaviour is unchanged. One guard added: `setSessionStorageApi` returns
`false` when sessionStorage is blocked (iframe, storage disabled), and
the retry flag can't persist. The reload was previously issued anyway,
so every failed import reloaded forever with no way out. It now reloads
only when the flag was actually written.
2026-08-06 22:31:33 +00:00
Jugal Kishore
8a481d8a75 feat(onboarding): add Apache, HAProxy, Elasticsearch, RabbitMQ, Open WebUI, DSPy datasources (#12363)
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2026-08-06 15:28:41 +00:00
Shivam Gupta
84eeacd084 feat(onboarding): add HCP Vault, OpenTelemetry eBPF, Langflow, Cohere, Auth0, and PgBouncer datasources (#12098)
* feat(onboarding): add HCP Vault, OpenTelemetry eBPF, Langflow, Cohere, and Auth0 datasources

Add UI onboarding configurations (logos + datasource entries) so these tools
appear in the Add Data Source onboarding flow. SVG logos optimized with svgo.

Closes signoz.io#3614 (HCP Vault)
Closes signoz.io#3626 (OpenTelemetry eBPF / OBI)
Closes signoz.io#3680 (Langflow)
Closes signoz.io#3702 (Cohere)
Closes signoz.io#3562 (Auth0)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(onboarding): add PgBouncer datasource

Add PgBouncer (PostgreSQL connection pooler) metrics onboarding entry,
reusing the existing PostgreSQL logo.

Closes signoz.io#3553 (PgBouncer)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore(onboarding): update SVG logos and category of datasources

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Jugal Kishore <jugal@signoz.io>
2026-08-06 13:25:53 +00:00
Vinicius Lourenço
41576954c4 fix(query-context): ensure operator is correctly suggested (#11575)
Co-authored-by: Nikhil Mantri <nikhil.mantri1999@gmail.com>
2026-08-06 13:24:06 +00:00
Vinicius Lourenço
4a7ce110b3 fix(infrastructure-monitoring-hosts): missing warning prop for list table (#12431)
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2026-08-06 11:24:26 +00:00
Naman Verma
e42e42ee71 feat: enable FGA for dashboards and their public config (#12408)
* feat: enable FGA for dashboards and their public config

* test: add integration test for dashboard FGA

* fix: fix permissions for public dashboards, pinning, views

* fix: allow viewers to manage views

* fix: remove edits to the public dashboard line
2026-08-06 07:19:21 +00:00
dependabot[bot]
b4e1af261b chore(deps): bump google.golang.org/grpc from 1.80.0 to 1.82.1 (#12222)
Bumps [google.golang.org/grpc](https://github.com/grpc/grpc-go) from 1.80.0 to 1.82.1.
- [Release notes](https://github.com/grpc/grpc-go/releases)
- [Commits](https://github.com/grpc/grpc-go/compare/v1.80.0...v1.82.1)

---
updated-dependencies:
- dependency-name: google.golang.org/grpc
  dependency-version: 1.82.1
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-08-06 07:17:06 +00:00
dependabot[bot]
0de7f666e4 chore(deps): bump github.com/google/cel-go from 0.28.0 to 0.29.0 (#12305)
Bumps [github.com/google/cel-go](https://github.com/google/cel-go) from 0.28.0 to 0.29.0.
- [Release notes](https://github.com/google/cel-go/releases)
- [Commits](https://github.com/google/cel-go/compare/v0.28.0...v0.29.0)

---
updated-dependencies:
- dependency-name: github.com/google/cel-go
  dependency-version: 0.29.0
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-08-06 07:16:55 +00:00
Vinicius Lourenço
20606e274b feat(infrastructure-monitoring-details): add support to pin tooltip (#12414)
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2026-08-06 02:25:45 +00:00
Nikhil Mantri
465e567028 fix(infra-monitoring): use local sample tables in custom queries in metric-reduction-feature path (#12413)
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* chore: using local tables in place of distributed tables in infra-monitoring reduced metric path

* test: infra-monitoring list endpoints on the metrics reduction path

* chore: address review comments
2026-08-05 17:18:49 +00:00
Vinicius Lourenço
f567f4f8fb refactor(infrastructure-monitoring): remove dead-code of v1 (#12415)
* refactor(metrics-explorer): move use page size out of infra monitoring

* refactor(query-builder): update code to reference v2 instead of v1

* refactor(infra-monitoring): delete v1 code
2026-08-05 16:10:50 +00:00
Nityananda Gohain
7633845f27 fix: remove if condition for json parser (#12407)
* fix: remove if condition for json parser

* fix: update integration tests
2026-08-05 12:37:42 +00:00
209 changed files with 5872 additions and 27574 deletions

11
.claude/rules/comments.md Normal file
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@@ -0,0 +1,11 @@
# Comments
Applies to everything in the repo — code, config, workflows.
- **No unnecessary comments.** Do not comment where the code is self-explanatory; never restate what the code already says.
- **Document only** non-obvious behavior, constraints, formats, and edge cases.
- **Rationale goes in prose, not source.** Why a version is pinned, why a job exists, how a subsystem fits together — that belongs in the README or the PR.
- **Never remove pre-existing comments** when editing code. The bar above applies to comments you write, not comments already there.
- **Never talk to the reviewer.** No comments about where a change came from, what was changed, or why the change is correct — that belongs in the PR description and is noise the moment it merges.
Language rules build on this one: [`go-comments`](go-comments.md), [`py-comments`](py-comments.md).

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@@ -0,0 +1,12 @@
---
paths:
- "**/*.go"
---
# Go comments
The bar is the [`comments`](comments.md) rule: nothing where the code is self-explanatory.
- **Names carry the meaning.** Make function, type, and variable names self-explanatory so the comment is unnecessary in the first place. If a comment is needed to explain what a function does, fix the name, not the comment.
- **Godoc**: Skip comments that merely restate the identifier. Document only non-obvious behavior, constraints, formats, and edge cases.
- **Generated code**: If the comment is emitted by an external codegen tool, leave it as-is — do not add or trim comments in generated files.

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@@ -0,0 +1,7 @@
# Pull requests
- **Follow the template** (`.github/pull_request_template.md`): fill in its headings (Description / Issues closed by this PR / Screenshots / Additional Information). Don't add sections the template doesn't have.
- **Keep only the headings that apply.** Delete every heading that has nothing under it, along with its `<!--...-->` placeholder comment. The body must never contain an empty heading — if only Description applies, the body has exactly that one heading.
- **Keep the description concise and human-readable.** A few plain bullets saying what changed and why, for a reviewer skimming it — not a wall of text, not a restatement of the diff, not generated boilerplate.
- **Reference issues with `Closes #issue-number`** under "Issues closed by this PR" so they auto-close on merge. This goes in the PR description only — never in commit messages.
- **AI assistance in commits may optionally be disclosed with an `Assisted-by:` trailer** naming the model (e.g. `Assisted-by: Claude Opus 4.5`) — do NOT use a `Co-authored-by:` trailer for this.

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@@ -0,0 +1,13 @@
---
paths:
- "**/*.py"
---
# Python comments
The bar is the [`comments`](comments.md) rule: nothing where the code is self-explanatory.
- **Names carry the meaning.** Make function and variable names self-explanatory so the comment or docstring is unnecessary in the first place. If a docstring is needed to explain what a function does, fix the name, not the docstring.
- **No file-level docstring.** The filename says what the module is for — `tool_bin.py` gets the tool binary. A module docstring restating that is noise, and a paragraph of design prose at the top of a file goes stale where nobody is looking. A constraint belongs next to the code it constrains, not in a preamble.
- **Docstrings**: only when they say something the name and signature don't — drop them otherwise. Keep them short. A contract that genuinely needs a few lines (interacting flags, retry semantics, an edge case) is fine; a narrative is not.
- **No song and dance.** Comment the constraint or the edge case. Not the narrative, not the rationale, not what the next line does.

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@@ -1,85 +1,13 @@
## Pull Request
---
### 📄 Summary
> Why does this change exist?
> What problem does it solve, and why is this the right approach?
#### Screenshots / Screen Recordings (if applicable)
> Include screenshots or screen recordings that clearly show the behavior before the change and the result after the change. This helps reviewers quickly understand the impact and verify the update.
<!--A few plain bullets saying what changed and why, for a reviewer skimming it - not a wall of text, not a restatement of the diff, not generated boilerplate.-->
#### Description
<!--Reference issues using `Closes #issue-number` to enable automatic closure on merge. -->
#### Issues closed by this PR
> Reference issues using `Closes #issue-number` to enable automatic closure on merge.
---
<!--If applicable, include screenshots or screen recordings that clearly show the behavior before the change and the result after the change. -->
#### Screenshots / Screen Recordings
### ✅ Change Type
_Select all that apply_
<!--Anything reviewers should keep in mind while reviewing -->
#### Additional Information
- [ ] ✨ Feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactor
- [ ] 🛠️ Infra / Tooling
- [ ] 🧪 Test-only
---
### 🐛 Bug Context
> Required if this PR fixes a bug
#### Root Cause
> What caused the issue?
> Regression, faulty assumption, edge case, refactor, etc.
#### Fix Strategy
> How does this PR address the root cause?
---
### 🧪 Testing Strategy
> How was this change validated?
- Tests added/updated:
- Manual verification:
- Edge cases covered:
---
### ⚠️ Risk & Impact Assessment
> What could break? How do we recover?
- Blast radius:
- Potential regressions:
- Rollback plan:
---
### 📝 Changelog
> Fill only if this affects users, APIs, UI, or documented behavior
> Use **N/A** for internal or non-user-facing changes
| Field | Value |
|------|-------|
| Deployment Type | Cloud / OSS / Enterprise |
| Change Type | Feature / Bug Fix / Maintenance |
| Description | User-facing summary |
---
### 📋 Checklist
- [ ] Tests added or explicitly not required
- [ ] Manually tested
- [ ] Breaking changes documented
- [ ] Backward compatibility considered
---
## 👀 Notes for Reviewers
<!-- Anything reviewers should keep in mind while reviewing -->
---
<!--Please delete paragraphs that you did not use before submitting.-->

7
.gitignore vendored
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@@ -90,8 +90,6 @@ queries.active
.devenv/**/tmp/**
.qodo
.dev
### Python ###
# Byte-compiled / optimized / DLL files
__pycache__/
@@ -231,5 +229,6 @@ cython_debug/
# LSP config files
pyrightconfig.json
# agents
.claude/settings.local.json
# dev
.dev/
.claude/worktrees/

View File

@@ -10247,9 +10247,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- ADMIN
- dashboard:update
- tokenizer:
- ADMIN
- dashboard:update
summary: Delete public dashboard
tags:
- dashboard
@@ -10298,9 +10298,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- ADMIN
- dashboard:read
- tokenizer:
- ADMIN
- dashboard:read
summary: Get public dashboard
tags:
- dashboard
@@ -10355,9 +10355,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- ADMIN
- dashboard:update
- tokenizer:
- ADMIN
- dashboard:update
summary: Create public dashboard
tags:
- dashboard
@@ -10399,9 +10399,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- ADMIN
- dashboard:update
- tokenizer:
- ADMIN
- dashboard:update
summary: Update public dashboard
tags:
- dashboard
@@ -14739,9 +14739,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- VIEWER
- dashboard:list
- tokenizer:
- VIEWER
- dashboard:list
summary: List dashboard saved views
tags:
- dashboard
@@ -14796,9 +14796,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:list
- tokenizer:
- EDITOR
- dashboard:list
summary: Create dashboard saved view
tags:
- dashboard
@@ -14849,9 +14849,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:list
- tokenizer:
- EDITOR
- dashboard:list
summary: Delete dashboard saved view
tags:
- dashboard
@@ -14917,9 +14917,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:list
- tokenizer:
- EDITOR
- dashboard:list
summary: Update dashboard saved view
tags:
- dashboard
@@ -14994,9 +14994,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- VIEWER
- dashboard:list
- tokenizer:
- VIEWER
- dashboard:list
summary: List dashboards (v2)
tags:
- dashboard
@@ -15051,9 +15051,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:create
- tokenizer:
- EDITOR
- dashboard:create
summary: Create dashboard (v2)
tags:
- dashboard
@@ -15104,9 +15104,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:delete
- tokenizer:
- EDITOR
- dashboard:delete
summary: Delete dashboard (v2)
tags:
- dashboard
@@ -15167,9 +15167,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- VIEWER
- dashboard:read
- tokenizer:
- VIEWER
- dashboard:read
summary: Get dashboard (v2)
tags:
- dashboard
@@ -15241,9 +15241,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:update
- tokenizer:
- EDITOR
- dashboard:update
summary: Patch dashboard (v2)
tags:
- dashboard
@@ -15310,9 +15310,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:update
- tokenizer:
- EDITOR
- dashboard:update
summary: Update dashboard (v2)
tags:
- dashboard
@@ -15378,9 +15378,11 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:read
- dashboard:create
- tokenizer:
- EDITOR
- dashboard:read
- dashboard:create
summary: Clone dashboard (v2)
tags:
- dashboard
@@ -15431,9 +15433,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:update
- tokenizer:
- EDITOR
- dashboard:update
summary: Unlock dashboard (v2)
tags:
- dashboard
@@ -15483,9 +15485,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:update
- tokenizer:
- EDITOR
- dashboard:update
summary: Lock dashboard (v2)
tags:
- dashboard
@@ -15549,9 +15551,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- EDITOR
- dashboard:update
- tokenizer:
- EDITOR
- dashboard:update
summary: Migrate dashboard to v2
tags:
- dashboard
@@ -23695,9 +23697,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- VIEWER
- dashboard:list
- tokenizer:
- VIEWER
- dashboard:list
summary: List dashboards for the current user (v2)
tags:
- dashboard
@@ -23742,9 +23744,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- VIEWER
- dashboard:list
- tokenizer:
- VIEWER
- dashboard:list
summary: Unpin a dashboard for the current user (v2)
tags:
- dashboard
@@ -23801,9 +23803,9 @@ paths:
description: Internal Server Error
security:
- api_key:
- VIEWER
- dashboard:list
- tokenizer:
- VIEWER
- dashboard:list
summary: Pin a dashboard for the current user (v2)
tags:
- dashboard

View File

@@ -1,123 +1,377 @@
# PromQL Serving — clickhouseprometheusv2
This document is the subsystem context for `pkg/prometheus/clickhouseprometheusv2`,
the second-generation ClickHouse-backed Prometheus provider. It explains why the
package exists, the correctness constraints that shaped it, and how each fetch
reduction is proven not to change results. Any change to the provider must keep
these invariants; if a change would violate one, it must be flagged and
discussed.
This document gives the context for `pkg/prometheus/clickhouseprometheusv2`.
This package is the second-generation ClickHouse-backed Prometheus provider.
The document tells you why the package exists. It tells you the correctness
rules that shaped it. It shows how we prove that each construct does not
change results. Keep these invariants when you change the provider. If your
change breaks an invariant, flag it and discuss it first.
---
## Why a second provider
The v1 provider (`pkg/prometheus/clickhouseprometheus`) serves the promql engine
through the remote-read protobuf adapter: every raw sample of a query's union
window is fetched, serialized, and handed to the engine. The cost is a function
of ingested data, not of the question asked — which is how a dashboard of PromQL
panels can take an instance down.
The v1 provider (`pkg/prometheus/clickhouseprometheus`) serves the promql
engine through the remote-read protobuf adapter. It fetches every raw sample
of a query's union window. It serializes all of them and gives them to the
engine. The cost follows the ingested data, not the question. This is how a
dashboard of PromQL panels can take an instance down.
In v2 the stock promql engine evaluates over a native `storage.Querier`: no
translation layer, per-selector fetch windows, and fetch reductions that are
provably invisible to the engine.
In v2, each query runs in one of two ways. The classifier decides per query:
**The core constraint: every reduction either preserves engine semantics exactly
or is not performed.** A PromQL result that differs from upstream Prometheus is
a lost user. The conformance suite
- **Transpiled**: ClickHouse evaluates the query. Only final (or near-final)
per-group grid arrays come back. The statements use the
`timeSeries*ToGrid` aggregate functions. The supported ClickHouse floor is
25.6 or later, so these functions are assumed available.
- **Engine**: the stock promql engine evaluates over this package's native
`storage.Querier`. Every shape that does not transpile takes this path.
**The core rule: a PromQL result that differs from upstream Prometheus is a
lost user. A construct that cannot reproduce engine semantics exactly falls
back. It does not approximate.** The conformance suite
(`tests/integration/tests/promqlconformance/`) replays Prometheus' own test
corpus against both providers and is the arbiter.
corpus against both providers. It is the arbiter. The classification golden
(`testdata/classification_golden.json`) freezes the route of each corpus
expression. The rest of this document is the PromQL-to-SQL story. That
mapping is where correctness is won or lost.
---
## The evaluation model the SQL must reproduce
A PromQL range query is an instant query evaluated at each grid point
`t_i = start + i*step`, for `i = 0..(end-start)/step`. At each `t_i`:
- An instant selector resolves to the latest sample in the left-open
lookback window `(t_i - lookback, t_i]`. If that latest sample is a stale
marker, the selector resolves to nothing. Older real samples in the window
do not change this.
- A range selector `[r]` collects every sample in `(t_i - r, t_i]`. Stale
markers are excluded.
- `offset d` shifts both windows to `(t_i - d - w, t_i - d]`.
The transpilation invariant follows from this model. Each transpiled
construct produces one array per output series. The array has exactly one
slot per grid point. Slot `i` holds the value at `t_i`. NULL means absent.
This makes composition correct, not only convenient. The engine evaluates
these operators independently per `t_i`. A representation that gets every
slot right gets the whole query right. Spatial aggregation over arrays is
sound because it combines values that belong to the same `t_i` by
construction. Scan time maps slot `i` back to `t_i = start + i*step`
(`toMatrix`). The sections below fill those slots with exactly the numbers
the engine computes. We validated each equivalence against the vendored
engine on live data before its shape entered the allowlist. An unproven
shape stays on the engine path.
## Classification: finding what a statement can answer
`classify` walks the parsed AST and looks for "core units". A core unit is a
maximal subtree of this shape:
[agg by/without (...)] [fn(] selector[range] [offset d] [)] [op scalar]...
`classifyCore` peels that chain from the outside in. It takes an optional
sum/min/max/avg/count aggregation. It then takes one allowlisted function or
a bare instant selector. It then takes the selector with its offset. On the
way out, it collects number-literal arithmetic, comparisons (including
`bool`), and unary minus into a scalar-op pipeline. A node qualifies only if
its type, arguments, and children are in the proven set. This is an
allowlist. An overlooked construct becomes a fallback, not a wrong number.
Three unit kinds come out. Each kind has its own SQL form:
- `unitRange`: rate, irate, increase, delta, idelta over a range selector.
- `unitInstant`: instant vector selection, bare or comparison-filtered.
- `unitOverTime`: avg/min/max/sum/count/last `_over_time`.
If the whole tree is one unit, the plan is "full". The statement's rows are
the query result. Otherwise, `rewrite` cuts out each maximal unit and puts a
synthetic selector `__signoz_transpiled_N__` in its place. The engine then
runs the rewritten expression over the units' materialized results. This is
a "hybrid" plan. `histogram_quantile`, `topk`, `or`/`and`/`unless`, and
vector matching keep exact engine semantics. Their expensive inputs were
aggregated server-side.
Classification refuses a shape when it cannot guarantee exact semantics
server-side:
- The `@` modifier, anywhere.
- Default-resolution subqueries. Their resolution is a server runtime
setting that the transpiler cannot see.
- Duration expressions (`offset step()`, `[range()]`, ...), anywhere. The
engine resolves them into the selector's static fields only at evaluation
time. At classification time those fields hold zero values. A transpile
would silently use the wrong offset or range.
- Steps or ranges that are not whole seconds. The grid functions take
whole-second parameters.
- Grouping by `__name__`, or matching on it, in hybrid plans. The synthetic
name would leak into results.
- Name-keeping units in hybrid plans. Bare and comparison-filtered instant
selectors and `last_over_time` keep their real `__name__` (`keepsName`).
Substitution would replace that name. These units transpile only as full
plans.
- Every function outside the allowlist: changes, resets,
quantile_over_time, absent, native-histogram functions, and more.
Units inside a fixed-resolution subquery evaluate on the subquery's own
grid, not the query grid. That grid is the set of epoch-aligned multiples of
the resolution strictly after `outerStart - offset - range`, ending at
`outer end - offset`. This is the exact derivation the engine uses. A grid
shifted by one step changes which samples every window sees.
## From one unit to one statement
`buildUnitSQL` renders each unit as one statement. For
`sum by (pod) (rate(m{job="api"}[5m]))` the skeleton is:
SELECT g0, sumForEach(grid) AS grid FROM (
SELECT any(series.g0) AS g0,
timeSeriesRateToGrid(<start>, <end>, <step>, <range>)(fromUnixTimestamp64Milli(unix_milli), value) AS grid
FROM signoz_metrics.distributed_samples_v4 AS points
INNER JOIN (
SELECT fingerprint, JSONExtractString(labels, 'pod') AS g0
FROM signoz_metrics.time_series_v4
WHERE <series predicates>
GROUP BY fingerprint, g0
) AS series ON points.fingerprint = series.fingerprint
WHERE metric_name = ? AND temporality IN ['Cumulative', 'Unspecified']
AND unix_milli > <start - range> AND unix_milli <= <end>
AND bitAnd(flags, 1) = 0
GROUP BY points.fingerprint
) GROUP BY g0
SETTINGS allow_experimental_ts_to_grid_aggregate_function = 1
Read it from the inside out.
**The time window** is the selector's semantics, verbatim. Strict `>` on the
lower bound and `<=` on the upper bound is the left-open `(t - w, t]` rule.
The offset shifts the whole window. `bitAnd(flags, 1) = 0` drops stale
markers. PromQL excludes them from range vectors.
**The inner GROUP BY** computes one grid array per series.
`timeSeriesRateToGrid(start, end, step, range)` is a parametric aggregate.
It takes (timestamp, value) pairs and produces `Array(Nullable(Float64))`
with one slot per grid point. It is correct because it implements the
engine's `extrapolatedRate`, decision for decision: counter resets, the
zero-point clamp, the extrapolation thresholds, the two-samples rule, and
the left-open window. We verified this: we fed identical samples to both and
compared slot for slot. The only observed difference is the last bit.
ClickHouse's C++ and Go round the same formula differently. That is the
floating-point floor, not a semantic gap. irate/delta/idelta map to their
own `timeSeries*ToGrid` functions, with the same verification. `increase`
has no function of its own. We emit
`arrayMap(x -> x * <range seconds>, <rate expr>)`. This is exact by
definition: `extrapolatedRate` computes the same extrapolated delta for both
and divides by the range only when `isRate`. The multiplication reverses it
exactly. The grid parameters render as literals, not bound args. They are
aggregate-function parameters. The experimental gate rides as a SETTINGS
clause on the statement itself, so telemetrystore hooks cannot remove it.
The group key is functionally dependent on the fingerprint: one fingerprint
is the hash of one labelset. So the inner query groups by the fingerprint
alone and reads the key columns with `any()`. This is exact, and it makes
the per-row hash key smaller.
**The join** gives each series its group key, in one of two forms.
`by (...)` extracts each listed label as a plain column
(`JSONExtractString(labels, 'pod') AS g0`) and groups on the columns. The
projection is a known short list, and the label names live in Go. To build,
sort, and stringify every label pair per row would be waste. This is correct
because column-tuple equality is label-set equality on the projection. An
extracted `''` means the label is absent. That is Prometheus semantics for
`by()` over missing labels. The empties are skipped when the columns turn
back into labels. `without` and no-aggregation project a label set that
varies per series. They get the canonical key: `toJSONString` of the sorted
[label, value] pairs that the unit projects. `without` excludes the listed
labels plus `__name__`. No-aggregation keeps everything; the name comes off
in Go, per the engine's name-dropping rules. Here the sort is load-bearing.
Stored JSON key order is not canonical across fingerprints. Two orderings of
the same labels must land in one group. Empty values are filtered for the
same absent-label reason. The same string parses back into the output label
set (`labelsFromGroupKey`).
**The outer GROUP BY** is the spatial aggregation. sum/min/max/avg/count
by/without become the `-ForEach` combinators. Element-wise aggregation over
grid arrays is the engine's per-`t_i` aggregation: slot `i` of every input
array refers to the same `t_i`. The combinators skip NULLs. That is the
engine aggregating only the series present at `t_i`. An index where every
series is absent stays NULL. Two edges need explicit handling. First,
`countForEach` wraps in a map of 0 back to NULL. A count over an all-absent
index is an absent point, not 0. Second, a unit without aggregation still
passes through `maxForEach`. That is the identity for the common
one-fingerprint group. It is a deterministic NULL-skipping merge when a
regex `__name__` selector collapses distinct metrics onto one projected
label set. One caveat is inherent: the summation order over series differs
from the engine's. Spatial aggregates can differ in the last ULP. Float
addition is not associative. No ordering reproduces the engine's result
bit-exactly from inside a GROUP BY.
## Instant selectors: staleness needs two aggregates
`unitInstant` uses window = lookback. It must reproduce the shadowing rule:
the point is absent when the latest in-window sample is a stale marker.
`timeSeriesLastToGrid` alone cannot express that. To skip stale rows in
WHERE would resurrect the older real sample that the marker buried. So stale
rows stay in the scan for this kind only. The grid expression compares three
aggregates per slot:
arrayMap((tall, tok, vok) -> if(tall IS NULL OR tok IS NULL OR tall != tok, NULL, vok),
timeSeriesLastToGrid(...)(ts, toFloat64(unix_milli)), -- last sample overall
timeSeriesLastToGridIf(...)(ts, toFloat64(unix_milli), bitAnd(flags, 1) = 0), -- last non-stale, its timestamp
timeSeriesLastToGridIf(...)(ts, value, bitAnd(flags, 1) = 0)) -- last non-stale, its value
This is correct by cases on a slot's window. No samples at all: both
timestamp aggregates are NULL, so the slot is NULL. That is absent, as the
engine says. Latest sample non-stale: it is the latest overall and the
latest non-stale. The timestamps agree. The slot takes its value. That is
the engine's pick. Latest sample stale: the last-overall timestamp is the
marker's. The last-non-stale timestamp is older, or NULL when the window
holds only markers. They disagree. The slot is NULL. The marker shadows,
exactly as the engine's rule says. Timestamps are unique per series (ingest
dedups). So timestamp equality identifies "the same sample" without
ambiguity. We probed the `-If` combinator against these experimental
aggregates before we trusted it.
## Windowed *_over_time: whole buckets instead of a grid function
avg/min/max/sum/count `_over_time` aggregate every raw sample in the window.
No `timeSeries*ToGrid` function computes them. (`last_over_time` is the
exception. The last sample of a range vector is exactly
`timeSeriesLastToGrid`. PromQL excludes stale markers from range vectors; we
exclude them in WHERE.) These shapes transpile only when the range is a
whole multiple of the step. Then the window needs no per-sample fan-out.
With `W = range/step`, the window `(t_k - range, t_k]` is exactly the union
of W step buckets. Both are left-open on the same boundaries. So bucket
membership fully determines window membership. Each sample lands in exactly
one bucket:
intDiv(unix_milli - <start> + <range> - 1, <step>)
This is `ceil((ts - start)/step)` shifted by W-1, so the earliest in-window
sample sits at 0. Slot k's window is buckets in `[k, k+W-1]`. The
alternative fans each sample into all W windows that cover it. That
multiplies rows by W. For a long range over a short step, that is a row
explosion measured in billions. The bucketed form's row count is
series × buckets: the size of the output, for any W.
Each series aggregates in one group. The `-Resample` combinator
(`sumResample`, `countResample`) holds the dense per-bucket partials inside
one group state: a bucket count, plus the function's value aggregate (sum
for sum/avg, min, max). An earlier form grouped by (series, bucket) and
assembled with `groupArrayInsertAt`. At scale that made 37M hash groups, and
per-thread partials scaled memory with the thread count. The slide then
combines each slot's at-most-W bucket partials by direct aggregation
(`arraySum(arraySlice(...))`). Window sums are added the way the engine adds
them. There is no prefix-sum differencing: its large-minus-large
cancellation would drift past the shadow tolerance on counter-sized values.
This is correct per slot because the bucket union is the exact window
multiset, and avg/min/max/sum/count are order-insensitive on a multiset
(sum/avg up to summation order; see the float caveat above). A slot with
zero window count is absent. min/max filter their slices on the bucket
counts. An empty bucket's default can never look like a value: a real sample
can legitimately be +Inf.
Two shapes fall back to the engine path, which is exact: a range that does
not divide the step, and a window wider than `maxWindowBuckets` buckets (the
slide costs W combines per slot). A range narrower than the step needs
neither gate: the windows are pairwise disjoint, one bucket per slot, no
slide. That form is exact only together with the window-sliver predicate
below.
## Scalar ops, full plans, hybrid plans
The scalar-op pipeline runs in Go on the returned arrays
(`applyScalarOps`), slot by slot. Arithmetic operators compute. Comparisons
filter: the slot keeps the vector-side value or becomes NULL. Under `bool`
they return 0/1. This is trivially correct. It is the same float64 operation
the engine applies, to the same slot value, in the same operator order the
AST dictates. Go instead of another SQL layer changes where, not what.
A full plan's arrays map straight to the result matrix. A hybrid plan
materializes each unit's arrays as synthetic series under its
`__signoz_transpiled_N__` name. The engine evaluates the rewritten
expression over a storage that serves synthetic names from memory and
everything else live. Substitution is sound because a unit's output is a
plain instant vector to the engine: same values at same timestamps, under a
different name. The name cannot matter. Plans that group by or match on
`__name__` were refused at classification. Name-keeping units are never
substituted. One subtlety makes it exact: we write stale markers at absent
grid points. Without them, the engine's lookback would resurrect a point
from up to `lookback` earlier. The marker encodes "absent here" the way the
engine itself encodes it. Units evaluate concurrently. Each unit is one
series lookup plus one grid statement. A step of 0 is an instant query: a
single evaluation at `end`.
A note on the window sliver: when the window is narrower than the step, the
grid windows cover only `window/step` of the timeline. A sample in a gap
belongs to no window. It cannot move any grid point, but the grid aggregate
would buffer it. A WHERE predicate keeps only the in-window rows:
`positiveModulo(selStart - unix_milli, step) < window`, with the scan capped
at the last grid point. The lattice anchors at the selector start, because
the end can sit off-lattice on unaligned grids. This cut a 36k-series
one-week rate from 74s/28GiB to 16s/4.3GiB on fleet data. Over slivered
rows, `timeSeriesLastToGrid`'s window widening is harmless, so instant
selectors and `last_over_time` transpile at window < step too.
## Series lookup
Matchers resolve to series once per selector (`selectSeries`) against the series
tables, which hold one row per (fingerprint, bucket) at 1h/6h/1d/1w
granularities. Table selection and window rounding delegate to the shared
metrics schema package (`pkg/telemetryschema/metricstelemetryschema`); the
window start rounds down to the bucket boundary so a window beginning mid-bucket
still matches the bucket's row.
Both paths resolve matchers the same way, once per selector
(`selectSeries`). The series tables hold one row per (fingerprint, bucket)
at 1h/6h/1d/1w granularities. The shared schema package
(`pkg/telemetryschema/metricstelemetryschema`) picks the table whose bucket
fits the window. It rounds the window start down to the bucket boundary, so
a window that begins mid-bucket still matches the bucket's row. How matchers
become SQL, and why regexes are anchored, is documented at
`applySeriesConditions`. Empty-valued labels come off at this boundary. An
empty value means "label absent" in Prometheus, but stored attribute JSON
can carry them.
How matchers become SQL is documented at `applySeriesConditions`. The rules that
carry semantics:
## The engine path
- `__name__` matchers (all four types) translate to the `metric_name` column.
- Every other matcher becomes a `JSONExtractString` condition on the labels
column. An equality matcher against `""` matches series *without* the label,
mirroring PromQL, because `JSONExtractString` returns `""` for missing keys.
- Regexes are anchored (`^(?:...)$`) before they reach `match()`: PromQL
matchers match the whole value, ClickHouse `match()` searches for a
substring.
- The series-lookup upper bound is inclusive (`unix_milli <= end`) because the
exporter floors registration rows to the bucket start: a series first
registered in the bucket beginning exactly at `end` would otherwise be
invisible while its samples are in range.
Empty-valued labels come off at this boundary: an empty value means "label
absent" in Prometheus, but stored attribute JSON can carry them.
---
## Sample fetch
Samples are fetched per selector using the engine's per-selector hints, not the
query-wide union window — `foo / foo offset 1d` reads two narrow windows
instead of the widest one twice.
**Last-sample-per-step reduction.** Instant selectors of subquery-free queries
fetch only the last sample per step bucket. The engine resolves an instant
selector at each grid timestamp `t` to the latest sample in the left-open
lookback window `(t lookback, t]`. Buckets anchor at the selector's first
evaluation timestamp — recovered from the hints as
`hints.Start + lookback 1ms`, the inverse of how the engine derives
`hints.Start` — so bucket boundaries coincide with evaluation timestamps, and a
non-final sample of a bucket can never be the latest sample in
`(t lookback, t]` for any grid `t`. Real timestamps are preserved, so the
engine's own lookback and staleness handling stay exact.
Range selectors always fetch raw — every sample feeds the range function. The
subquery-free proof travels in the context as `prometheus.QueryTraits`, because
subquery selectors evaluate at the subquery's step while the hints carry the
top-level step; call sites that do not attach traits get the conservative raw
fetch.
**Row assembly** maps stale flags to the engine's `StaleNaN` and merges series
with identical label sets (`sortAndMerge`) — the engine assumes storages never
emit duplicates. Duplicate timestamps pass through as stored: uniqueness is
ingest's job, and v1 feeds them to the engine as-is over the same data.
**The fingerprint filter is a shard-local semi-join.** The samples query
restricts to the matched series by re-running the series predicates as an
`IN (SELECT fingerprint FROM <local series table> ...)` subquery, not a GLOBAL
broadcast of the matched set. ClickHouse materializes the subquery's set per
shard before the scan, so it still engages the fingerprint primary-key column.
Because the subquery re-executes the predicates after the lookup ran, it can
match series registered in between; sample rows whose fingerprint the lookup
never saw are skipped — the lookup is the read snapshot.
---
Queries that do not transpile run in the stock engine over this package's
`storage.Querier`. This is still not the v1 path. Samples are fetched per
selector with the engine's per-selector hints, not the query-wide union
window. So `foo / foo offset 1d` reads two narrow windows, not the widest
one twice. Instant selectors of subquery-free queries fetch only the last
sample per step bucket (`lastSamplePerStep`). Buckets anchor at the
selector's first evaluation timestamp. The code recovers it from the hints
as `hints.Start + lookback - 1ms`, the inverse of how the engine derives
`hints.Start`. Bucket boundaries then coincide with evaluation timestamps.
A non-final sample of a bucket can never be the latest sample in
`(t - lookback, t]` for any grid `t`. Real timestamps are preserved, so the
engine's own lookback and staleness handling stay exact. Range selectors
always fetch raw: every sample feeds the range function. The subquery-free
proof travels in the context as `prometheus.QueryTraits`. Subquery selectors
evaluate at the subquery's step, while the hints carry the top-level step.
Row assembly maps stale flags to the engine's StaleNaN. It merges series
with identical label sets (`sortAndMerge`): the engine assumes storages
never emit duplicates.
## Sharding
`samples_v4` and `time_series_v4` (and all their rollups) shard on the same key
`cityHash64(env, temporality, metric_name, fingerprint)` — so a series'
samples and catalog rows live on the same shard. The semi-join above exploits
that: each shard filters by its own series rows, which are exactly the series
of that shard's samples.
The temporality filter on every samples statement
(`temporality IN ['Cumulative', 'Unspecified']`) is a semantic no-op — the
matched fingerprints already come from those temporalities — that engages the
leading samples primary-key column.
Delta-temporality series stay invisible to PromQL exactly as they are in v1:
the rollout gate is parity with v1, and a Delta stream fed to `rate()`
`samples_v4` and `time_series_v4` (and all their rollups) shard on the same
key: `cityHash64(env, temporality, metric_name, fingerprint)`. So a series'
samples and catalog rows live on the same shard. The transpiled statement
exploits that. The distributed samples table at the top-level FROM makes
ClickHouse rewrite the whole inner query per shard. The join against the
shard-local series table and the per-series grid aggregation run next to
the data. The initiator only merges aggregate states and applies the
spatial `-ForEach` step. This is the same layout as the telemetrymetrics
statement builder. The group-key join alone restricts the transpiled scan
to the matched series. The engine path's samples fetch restricts by the
same predicates as a shard-local semi-join, not a GLOBAL broadcast of the
matched set. The temporality filter on every samples statement is a
semantic no-op: the matched fingerprints already come from those
temporalities. It engages the leading samples primary-key column.
Delta-temporality series stay invisible to PromQL here, exactly as in v1.
The rollout gate is parity with v1. To make Delta visible is its own change
with its own semantics to design. A Delta stream fed to `rate()`
as-if-cumulative would be wrong, not just new.
---
## Observability
Every statement carries a `log_comment` with
`code.namespace=clickhouse-prometheus-v2` and `code.function.name` naming the
call site, so this provider's work is attributable in `system.query_log`.
`code.namespace=clickhouse-prometheus-v2` and `code.function.name` naming
the call site (`selectSeries`, `selectSamples`, `transpiledUnit`,
`LabelValues`, `LabelNames`). This provider's work is attributable in
`system.query_log` without guessing from query text.

View File

@@ -354,6 +354,16 @@ function App(): JSX.Element {
tunnel: window.signozBootData.settings.sentry.tunnel,
environment: process.env.ENVIRONMENT,
release: process.env.VERSION,
// A tab that outlived a deploy requests hashed assets the new build no longer
// has. `lazyRetry` recovers by reloading once, so this class is not worth
// reporting. The stylesheet message is Vite's own; the module ones are the
// same failure worded differently by Chromium, Firefox and Safari.
ignoreErrors: [
/Unable to preload CSS for/,
/Failed to fetch dynamically imported module/,
/error loading dynamically imported module/,
/Importing a module script failed/,
],
integrations: [
// Kept for the `transaction` tag used in routing, even though
// tracing is disabled. Ref: https://github.com/SigNoz/platform-pod/issues/2393#issuecomment-4603658055

View File

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<path d="M30.55,161.41C32.4,164,48,168.77,71.27,173.79c26,4.74,48.61,20.19,67.44,14.75,12.73-3.68,25.39-34.58,25.39-39.46v-.48c0-3.39-2.55-6.13-6.88-8.39-13.54-7.2-31.43-15.13-38-13.32C85,136.3,39.26,138.37,30.55,161.41Z" fill="#de3423" fill-rule="evenodd"/>
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@@ -37,6 +37,7 @@ export default function ChartWrapper({
groupByPerQuery,
customTooltip,
pinnedTooltipElement,
tooltipPortalRoot,
'data-testid': testId,
}: ChartProps): JSX.Element {
const plotInstanceRef = useRef<uPlot | null>(null);
@@ -118,6 +119,7 @@ export default function ChartWrapper({
syncMetadata={syncMetadata}
render={renderTooltipCallback}
pinnedTooltipElement={pinnedTooltipElement}
portalRoot={tooltipPortalRoot}
/>
)}
</UPlotChart>

View File

@@ -30,6 +30,7 @@ interface BaseChartProps {
pinnedTooltipElement?: (clickData: ChartClickData) => React.ReactNode;
renderTooltipFooter?: (args: IRenderTooltipFooterArgs) => React.ReactNode;
customTooltip?: (props: TooltipRenderArgs) => React.ReactNode;
tooltipPortalRoot?: HTMLElement | null;
'data-testid'?: string;
}
interface UPlotBasedChartProps {

View File

@@ -1,198 +0,0 @@
import { useCallback, useEffect, useRef, useState } from 'react';
import { Button, Tooltip } from 'antd';
import { Typography } from '@signozhq/ui/typography';
import logEvent from 'api/common/logEvent';
import QuickFilters from 'components/QuickFilters/QuickFilters';
import { QuickFiltersSource } from 'components/QuickFilters/types';
import { InfraMonitoringEvents } from 'constants/events';
import { FeatureKeys } from 'constants/features';
import K8sBaseDetails from 'container/InfraMonitoringK8s/Base/K8sBaseDetails';
import { K8sBaseList } from 'container/InfraMonitoringK8s/Base/K8sBaseList';
import { K8sBaseFilters } from 'container/InfraMonitoringK8s/Base/types';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import {
useInfraMonitoringFiltersK8s,
useInfraMonitoringPageListing,
} from 'container/InfraMonitoringK8s/hooks';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { useQueryOperations } from 'hooks/queryBuilder/useQueryBuilderOperations';
import { useAppContext } from 'providers/App/App';
import { Query } from 'types/api/queryBuilder/queryBuilderData';
import {
fetchHostEntityData,
fetchHostListData,
getHostMetricsQueryPayload,
hostDetailsMetadataConfig,
hostGetEntityName,
hostGetSelectedItemFilters,
hostInitialEventsFilter,
hostInitialLogTracesFilter,
hostWidgetInfo,
} from './constants';
import {
getHostItemKey,
getHostRowKey,
hostColumnsConfig,
} from './table.config';
import { getHostsQuickFiltersConfig } from './utils';
import styles from './InfraMonitoringHosts.module.scss';
import { ArrowUpToLine, Filter } from '@signozhq/icons';
function Hosts(): JSX.Element {
const [showFilters, setShowFilters] = useState(true);
const [, setCurrentPage] = useInfraMonitoringPageListing();
const [urlFilters, setUrlFilters] = useInfraMonitoringFiltersK8s();
const { featureFlags } = useAppContext();
const dotMetricsEnabled =
featureFlags?.find((flag) => flag.name === FeatureKeys.DOT_METRICS_ENABLED)
?.active || false;
const { currentQuery } = useQueryBuilder();
const { handleChangeQueryData } = useQueryOperations({
index: 0,
query: currentQuery.builder.queryData[0],
entityVersion: '',
});
// Track previous urlFilters to only sync when the value actually changes
// (not when handleChangeQueryData changes due to query updates)
const prevUrlFiltersRef = useRef<string | null>(null);
useEffect(() => {
const currentFiltersJson = urlFilters ? JSON.stringify(urlFilters) : null;
// Only sync if urlFilters value has actually changed
if (prevUrlFiltersRef.current !== currentFiltersJson) {
prevUrlFiltersRef.current = currentFiltersJson;
// Sync filters to query builder, using empty filter when urlFilters is null
handleChangeQueryData('filters', urlFilters || { items: [], op: 'and' });
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [urlFilters]); // handleChangeQueryData intentionally omitted - we call the current version but don't re-run when it changes
const handleFilterVisibilityChange = (): void => {
setShowFilters(!showFilters);
};
const handleQuickFiltersChange = (query: Query): void => {
const filters = query.builder.queryData[0].filters;
// Nuqs batches these calls into a single URL update
// The useEffect will sync filters to query builder
setUrlFilters(filters || null);
setCurrentPage(1);
logEvent(InfraMonitoringEvents.FilterApplied, {
entity: InfraMonitoringEvents.HostEntity,
page: InfraMonitoringEvents.ListPage,
});
};
const fetchListData = useCallback(
async (filters: K8sBaseFilters, signal?: AbortSignal) => {
filters.orderBy ||= {
columnName: 'cpu',
order: 'desc',
};
return fetchHostListData(filters, signal);
},
[],
);
const fetchEntityData = useCallback(
async (
filters: Parameters<typeof fetchHostEntityData>[0],
signal?: AbortSignal,
) => fetchHostEntityData(filters, signal),
[],
);
const getSelectedItemFilters = useCallback(
(selectedItem: string) =>
hostGetSelectedItemFilters(selectedItem, dotMetricsEnabled),
[dotMetricsEnabled],
);
const getInitialLogTracesFilters = useCallback(
(host: import('api/infraMonitoring/getHostLists').HostData) =>
hostInitialLogTracesFilter(host, dotMetricsEnabled),
[dotMetricsEnabled],
);
const controlListPrefix = !showFilters ? (
<div className={styles.quickFiltersToggleContainer}>
<Button
className="periscope-btn ghost"
type="text"
size="small"
onClick={handleFilterVisibilityChange}
>
<Filter size={14} />
</Button>
</div>
) : undefined;
return (
<>
<div className={styles.infraMonitoringContainer}>
<div className={styles.infraContentRow}>
{showFilters && (
<div className={styles.quickFiltersContainer}>
<div className={styles.quickFiltersContainerHeader}>
<Typography.Text>Filters</Typography.Text>
<Tooltip title="Collapse Filters">
<ArrowUpToLine
style={{ rotate: '270deg', cursor: 'pointer' }}
onClick={handleFilterVisibilityChange}
size="md"
/>
</Tooltip>
</div>
<QuickFilters
source={QuickFiltersSource.INFRA_MONITORING}
config={getHostsQuickFiltersConfig(dotMetricsEnabled)}
handleFilterVisibilityChange={handleFilterVisibilityChange}
onFilterChange={handleQuickFiltersChange}
/>
</div>
)}
<div
className={`${styles.listContainer}${
showFilters ? ` ${styles.listContainerFiltersVisible}` : ''
}`}
>
<K8sBaseList
controlListPrefix={controlListPrefix}
entity={InfraMonitoringEntity.HOSTS}
tableColumns={hostColumnsConfig}
fetchListData={fetchListData}
getRowKey={getHostRowKey}
getItemKey={getHostItemKey}
eventCategory={InfraMonitoringEvents.HostEntity}
/>
</div>
</div>
</div>
<K8sBaseDetails
category={InfraMonitoringEntity.HOSTS}
eventCategory={InfraMonitoringEvents.HostEntity}
getSelectedItemFilters={getSelectedItemFilters}
fetchEntityData={fetchEntityData}
getEntityName={hostGetEntityName}
getInitialLogTracesFilters={getInitialLogTracesFilters}
getInitialEventsFilters={hostInitialEventsFilter}
metadataConfig={hostDetailsMetadataConfig}
entityWidgetInfo={hostWidgetInfo}
getEntityQueryPayload={getHostMetricsQueryPayload}
queryKeyPrefix="hosts"
tabsConfig={{
showEvents: false,
}}
/>
</>
);
}
export default Hosts;

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@@ -1,175 +0,0 @@
.infraMonitoringContainer {
display: flex;
height: 100%;
flex-direction: column;
}
.infraContentRow {
display: flex;
flex-direction: row;
height: calc(100vh - 45px);
width: 100%;
position: relative;
overflow-y: auto;
:global(.periscope-btn) {
&.ghost:not(:disabled) {
border: none;
background: transparent;
&:hover {
background: transparent;
color: var(--bg-robin-500) !important;
font-weight: 500;
}
}
}
&::-webkit-scrollbar {
width: 0.1rem;
height: 0.1rem;
}
&::-webkit-scrollbar-track {
background: transparent;
}
&::-webkit-scrollbar-thumb {
background: var(--accent-primary);
}
&::-webkit-scrollbar-thumb:hover {
background: colox-mix(var(--accent-primary), var(--bg-vanilla-100), 20%);
}
}
.quickFiltersContainer {
width: 280px;
min-width: 280px;
border-right: 1px solid var(--l1-border);
overflow-y: auto;
&::-webkit-scrollbar {
width: 0.1rem;
height: 0.1rem;
}
&::-webkit-scrollbar-track {
background: transparent;
}
&::-webkit-scrollbar-thumb {
background: var(--accent-primary);
}
&::-webkit-scrollbar-thumb:hover {
background: colox-mix(var(--accent-primary), var(--bg-vanilla-100), 20%);
}
:global(.ant-collapse-header) {
border-bottom: 1px solid var(--l1-border);
padding: 12px 8px;
}
:global(.ant-collapse-content-box) {
padding: 0 !important;
padding-block: 0 !important;
:global(.quick-filters .checkbox-filter) {
padding-left: 18px;
}
}
:global(.quick-filters) {
overflow-y: auto;
overflow-x: hidden;
&::-webkit-scrollbar {
width: 0.1rem;
height: 0.1rem;
}
&::-webkit-scrollbar-track {
background: transparent;
}
&::-webkit-scrollbar-thumb {
background: var(--accent-primary);
}
&::-webkit-scrollbar-thumb:hover {
background: colox-mix(var(--accent-primary), var(--bg-vanilla-100), 20%);
}
}
}
.quickFiltersContainerHeader {
padding: 8px;
border-bottom: 1px solid var(--l1-border);
display: flex;
align-items: center;
justify-content: space-between;
}
.listContainer {
flex: 1;
min-width: 0;
max-width: 100%;
display: flex;
flex-direction: column;
align-items: stretch;
> * {
min-width: 0;
max-width: 100%;
box-sizing: border-box;
}
> :global(.ant-table-wrapper) {
width: 100%;
max-width: 100%;
:global(.ant-spin-container) {
display: flex !important;
flex-direction: column;
}
:global(.ant-table),
:global(.ant-table-container) {
max-width: 100%;
}
}
}
.listContainerFiltersVisible {
max-width: calc(100% - 280px);
}
.quickFiltersToggleContainer {
padding: 0 8px;
}
.infraMonitoringTags {
width: fit-content;
font-family: Inter;
font-size: 11px;
font-style: normal;
font-weight: 500;
line-height: 18px;
letter-spacing: 0.44px;
text-transform: uppercase;
border-radius: 50px;
padding: 2px 8px;
}
.tagsActive {
color: var(--bg-forest-500, #25e192);
border: 1px solid rgba(37, 225, 146, 0.2);
background: rgba(37, 225, 146, 0.1);
}
.tagsInactive {
color: var(--bg-slate-50, #62687c);
border: 1px solid rgba(98, 104, 124, 0.2);
background: rgba(98, 104, 124, 0.1);
}

View File

@@ -1,191 +0,0 @@
import React from 'react';
import { Color } from '@signozhq/design-tokens';
import { Badge } from '@signozhq/ui/badge';
import { Progress } from '@signozhq/ui/progress';
import { Typography } from '@signozhq/ui/typography';
import {
getHostLists,
HostData,
HostListPayload,
} from 'api/infraMonitoring/getHostLists';
import {
createFilterItem,
K8sDetailsFilters,
K8sDetailsMetadataConfig,
} from 'container/InfraMonitoringK8s/Base/K8sBaseDetails';
import { K8sBaseFilters } from 'container/InfraMonitoringK8s/Base/types';
import {
getHostQueryPayload,
hostWidgetInfo,
} from 'container/LogDetailedView/InfraMetrics/constants';
import {
TagFilter,
TagFilterItem,
} from 'types/api/queryBuilder/queryBuilderData';
import { getHostListsQuery } from './utils';
import infraHostsStyles from './InfraMonitoringHosts.module.scss';
export function getProgressColor(percent: number): string {
if (percent >= 90) {
return Color.BG_SAKURA_500;
}
if (percent >= 60) {
return Color.BG_AMBER_500;
}
return Color.BG_FOREST_500;
}
export function getMemoryProgressColor(percent: number): string {
if (percent >= 90) {
return Color.BG_CHERRY_500;
}
if (percent >= 60) {
return Color.BG_AMBER_500;
}
return Color.BG_FOREST_500;
}
export const hostDetailsMetadataConfig: K8sDetailsMetadataConfig<HostData>[] = [
{
label: 'STATUS',
getValue: (h): string => (h.active ? 'ACTIVE' : 'INACTIVE'),
render: (value, h): React.ReactNode => (
<Badge
variant="outline"
className={`${infraHostsStyles.infraMonitoringTags} ${
h.active ? infraHostsStyles.tagsActive : infraHostsStyles.tagsInactive
}`}
>
{value}
</Badge>
),
},
{
label: 'OPERATING SYSTEM',
getValue: (h): string => h.os || '-',
render: (value): React.ReactNode =>
value !== '-' ? (
<Badge variant="outline" className={infraHostsStyles.infraMonitoringTags}>
{value}
</Badge>
) : (
<Typography.Text>-</Typography.Text>
),
},
{
label: 'CPU USAGE',
getValue: (h): number => h.cpu * 100,
render: (value): React.ReactNode => (
<Progress
percent={Number(Number(value).toFixed(1))}
strokeColor={getProgressColor(Number(value))}
showInfo
/>
),
},
{
label: 'MEMORY USAGE',
getValue: (h): number => h.memory * 100,
render: (value): React.ReactNode => (
<Progress
percent={Number(Number(value).toFixed(1))}
strokeColor={getMemoryProgressColor(Number(value))}
showInfo
/>
),
},
];
export function getHostMetricsQueryPayload(
host: HostData,
start: number,
end: number,
dotMetricsEnabled: boolean,
): ReturnType<typeof getHostQueryPayload> {
return getHostQueryPayload(host.hostName, start, end, dotMetricsEnabled);
}
export { hostWidgetInfo };
export function hostGetSelectedItemFilters(
selectedItem: string,
dotMetricsEnabled: boolean,
): TagFilter {
const hostKey = dotMetricsEnabled ? 'host.name' : 'host_name';
return {
op: 'AND',
items: [createFilterItem(hostKey, selectedItem)],
};
}
export function hostInitialLogTracesFilter(
host: HostData,
dotMetricsEnabled: boolean,
): TagFilterItem[] {
const hostKey = dotMetricsEnabled ? 'host.name' : 'host_name';
return [createFilterItem(hostKey, host.hostName || '')];
}
export function hostInitialEventsFilter(_host: HostData): TagFilterItem[] {
return [];
}
export const hostGetEntityName = (host: HostData): string => host.hostName;
export async function fetchHostListData(
filters: K8sBaseFilters,
signal?: AbortSignal,
): Promise<{
data: HostData[];
total: number;
error?: string | null;
rawData?: unknown;
}> {
const baseQuery = getHostListsQuery();
const payload: HostListPayload = {
...baseQuery,
limit: filters.limit,
offset: filters.offset,
filters: filters.filters ?? { items: [], op: 'and' },
orderBy: filters.orderBy,
start: filters.start,
end: filters.end,
groupBy: filters.groupBy ?? [],
};
const response = await getHostLists(payload, signal);
return {
data: response.payload?.data?.records || [],
total: response.payload?.data?.total || 0,
error: response.error,
rawData: response.payload?.data,
};
}
export async function fetchHostEntityData(
filters: K8sDetailsFilters,
signal?: AbortSignal,
): Promise<{ data: HostData | null; error?: string | null }> {
const response = await getHostLists(
{
...getHostListsQuery(),
filters: filters.filters,
start: filters.start,
end: filters.end,
limit: 1,
offset: 0,
groupBy: [],
},
signal,
);
const records = response.payload?.data?.records || [];
return {
data: records.length > 0 ? records[0] : null,
error: response.error,
};
}

View File

@@ -1,69 +0,0 @@
import { useEffect } from 'react';
import * as Sentry from '@sentry/react';
import { initialQueriesMap, PANEL_TYPES } from 'constants/queryBuilder';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import ErrorBoundaryFallback from 'pages/ErrorBoundaryFallback/ErrorBoundaryFallback';
import { DataSource } from 'types/common/queryBuilder';
import Hosts from './Hosts';
function InfraMonitoringHosts(): JSX.Element {
const {
updateAllQueriesOperators,
handleSetConfig,
setSupersetQuery,
setLastUsedQuery,
currentQuery,
resetQuery,
} = useQueryBuilder();
useEffect(() => {
const newQuery = updateAllQueriesOperators(
initialQueriesMap.metrics,
PANEL_TYPES.TIME_SERIES,
DataSource.METRICS,
);
setSupersetQuery(newQuery);
setLastUsedQuery(0);
handleSetConfig(PANEL_TYPES.TIME_SERIES, DataSource.METRICS);
return (): void => {
setLastUsedQuery(0);
};
}, [
updateAllQueriesOperators,
setSupersetQuery,
setLastUsedQuery,
handleSetConfig,
]);
useEffect(() => {
const updatedCurrentQuery = {
...currentQuery,
builder: {
...currentQuery.builder,
queryData: [
{
...currentQuery.builder.queryData[0],
filters: {
items: [],
op: 'AND',
},
},
],
},
};
resetQuery(updatedCurrentQuery);
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
return (
<Sentry.ErrorBoundary fallback={<ErrorBoundaryFallback />}>
<Hosts />
</Sentry.ErrorBoundary>
);
}
export default InfraMonitoringHosts;

View File

@@ -1,201 +0,0 @@
import React from 'react';
import { Tooltip } from 'antd';
import { Badge } from '@signozhq/ui/badge';
import { HostData } from 'api/infraMonitoring/getHostLists';
import TanStackTable, { TableColumnDef } from 'components/TanStackTableView';
import { getGroupByEl } from 'container/InfraMonitoringK8s/Base/utils';
import {
EntityProgressBar,
ExpandButtonWrapper,
ValidateColumnValueWrapper,
} from 'container/InfraMonitoringK8s/components';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import { useInfraMonitoringGroupBy } from 'container/InfraMonitoringK8s/hooks';
import EntityGroupHeader from 'container/InfraMonitoringK8s/Base/EntityGroupHeader';
import { HostnameCell } from './utils';
import styles from './table.module.scss';
import { Container, Info } from '@signozhq/icons';
function hostRowSource(host: HostData): { meta: Record<string, string> } {
return {
meta: {
...(host.meta ?? {}),
host_name: host.hostName ?? '',
'host.name': host.hostName ?? '',
os_type: host.os ?? '',
'os.type': host.os ?? '',
},
};
}
export function getHostRowKey(host: HostData): string {
return host.hostName || 'unknown';
}
export function getHostItemKey(host: HostData): string {
return host.hostName ?? '';
}
function HostGroupCell({ row }: { row: HostData }): JSX.Element {
const [groupBy] = useInfraMonitoringGroupBy();
const synthetic = hostRowSource(row);
return getGroupByEl(synthetic, groupBy) as JSX.Element;
}
export const hostColumnsConfig: TableColumnDef<HostData>[] = [
{
id: 'hostGroup',
header: (): React.ReactNode => <EntityGroupHeader title="HOST GROUP" />,
accessorFn: (row): string => row.hostName ?? '',
width: { min: 300 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-collapse',
cell: ({ row, isExpanded, toggleExpanded }): React.ReactNode => (
<ExpandButtonWrapper isExpanded={isExpanded} toggleExpanded={toggleExpanded}>
<HostGroupCell row={row} />
</ExpandButtonWrapper>
),
},
{
id: 'hostName',
header: (): React.ReactNode => (
<EntityGroupHeader title="Hostname" icon={<Container size={14} />} />
),
accessorFn: (row): string => row.hostName ?? '',
width: { min: 290 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-expand',
cell: ({ value }): React.ReactNode => (
<HostnameCell hostName={value as string} />
),
},
{
id: 'active',
header: (): React.ReactNode => (
<div className={styles.statusHeader}>
Status
<Tooltip title="Sent system metrics in last 10 mins">
<Info size="md" />
</Tooltip>
</div>
),
accessorFn: (row): boolean => row.active,
width: { min: 150, default: 150 },
enableSort: false,
cell: ({ value }): React.ReactNode => {
const active = value as boolean;
return (
<Badge
className={`${styles.statusTag} ${
active ? styles.statusTagActive : styles.statusTagInactive
}`}
>
{active ? 'ACTIVE' : 'INACTIVE'}
</Badge>
);
},
},
{
id: 'cpu',
header: (): React.ReactNode => (
<div className={styles.columnHeaderRight}>CPU Usage</div>
),
accessorFn: (row): number => row.cpu,
width: { min: 220 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const cpu = value as number;
return (
<div className={styles.progressContainer}>
<ValidateColumnValueWrapper
value={cpu}
entity={InfraMonitoringEntity.HOSTS}
attribute="CPU metric"
>
<EntityProgressBar value={cpu} type="cpu" />
</ValidateColumnValueWrapper>
</div>
);
},
},
{
id: 'memory',
header: (): React.ReactNode => (
<div className={`${styles.columnHeaderRight} ${styles.memoryUsageHeader}`}>
Memory Usage
<Tooltip title="Excluding cache memory">
<Info size="md" />
</Tooltip>
</div>
),
accessorFn: (row): number => row.memory,
width: { min: 220 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const memory = value as number;
return (
<div className={styles.progressContainer}>
<ValidateColumnValueWrapper
value={memory}
entity={InfraMonitoringEntity.HOSTS}
attribute="memory metric"
>
<EntityProgressBar value={memory} type="memory" />
</ValidateColumnValueWrapper>
</div>
);
},
},
{
id: 'wait',
header: (): React.ReactNode => (
<div className={styles.columnHeaderRight}>IOWait</div>
),
accessorFn: (row): number => row.wait,
width: { min: 100, default: 100 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const wait = value as number;
return (
<ValidateColumnValueWrapper
value={wait}
entity={InfraMonitoringEntity.HOSTS}
attribute="IOWait metric"
>
<TanStackTable.Text>{`${Number((wait * 100).toFixed(1))}%`}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'load15',
header: (): React.ReactNode => (
<div className={styles.columnHeaderRight}>Load Avg</div>
),
accessorFn: (row): number => row.load15,
width: { min: 100, default: 100 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const load15 = value as number;
return (
<ValidateColumnValueWrapper
value={load15}
entity={InfraMonitoringEntity.HOSTS}
attribute="load average metric"
>
<TanStackTable.Text>{load15}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
];

View File

@@ -1,68 +0,0 @@
.entityGroupHeader {
padding-left: var(--spacing-5);
gap: var(--spacing-5);
display: flex;
align-items: center;
}
.hostnameColumnHeader {
display: block;
}
.statusHeader {
display: inline-flex;
align-items: center;
gap: var(--spacing-2);
width: 100%;
}
.columnHeaderRight {
text-align: right;
}
.memoryUsageHeader {
display: inline-flex;
align-items: center;
justify-content: flex-end;
gap: var(--spacing-2);
width: 100%;
}
.statusTag {
width: fit-content;
font-family: Inter, sans-serif;
font-size: 11px;
font-style: normal;
font-weight: 500;
line-height: 18px;
letter-spacing: 0.44px;
text-transform: uppercase;
border-radius: 50px;
padding: 2px 8px;
}
.statusTagActive {
color: var(--Forest-500, #25e192);
border: 1px solid rgba(37, 225, 146, 0.2);
background: rgba(37, 225, 146, 0.1);
}
.statusTagInactive {
color: var(--Slate-50, #62687c);
border: 1px solid rgba(98, 104, 124, 0.2);
background: rgba(98, 104, 124, 0.1);
}
.progressContainer {
display: flex;
align-items: center;
& > div {
width: 100%;
}
}
.progressBar {
flex: 1;
margin-right: 8px;
}

View File

@@ -1,156 +0,0 @@
import React from 'react';
import { Color } from '@signozhq/design-tokens';
import { Tooltip } from 'antd';
import { Typography } from '@signozhq/ui/typography';
import { HostListPayload } from 'api/infraMonitoring/getHostLists';
import {
FiltersType,
IQuickFiltersConfig,
} from 'components/QuickFilters/types';
import { TriangleAlert } from '@signozhq/icons';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { DataSource } from 'types/common/queryBuilder';
const HOSTNAME_DOCS_URL =
'https://signoz.io/docs/infrastructure-monitoring/hostmetrics/#host-name-is-blankempty';
export function HostnameCell({
hostName,
}: {
hostName?: string | null;
}): React.ReactElement {
const isEmpty = !hostName || !hostName.trim();
if (!isEmpty) {
return <div className="hostname-column-value">{hostName}</div>;
}
return (
<div className="hostname-cell-missing">
<Typography.Text color="muted" className="hostname-cell-placeholder">
-
</Typography.Text>
<Tooltip
title={
<div>
Missing host.name metadata.
<br />
<a
href={HOSTNAME_DOCS_URL}
target="_blank"
rel="noopener noreferrer"
onClick={(e): void => e.stopPropagation()}
>
Learn how to configure
</a>
</div>
}
trigger={['hover', 'focus']}
>
<span
className="hostname-cell-warning-icon"
tabIndex={0}
role="img"
aria-label="Missing host.name metadata"
onClick={(e): void => e.stopPropagation()}
onKeyDown={(e): void => {
if (e.key === 'Enter' || e.key === ' ') {
e.stopPropagation();
}
}}
>
<TriangleAlert size={14} color={Color.BG_CHERRY_500} />
</span>
</Tooltip>
</div>
);
}
export const getHostListsQuery = (): HostListPayload => ({
filters: {
items: [],
op: 'and',
},
groupBy: [],
orderBy: { columnName: 'cpu', order: 'desc' },
});
export const HostsQuickFiltersConfig: IQuickFiltersConfig[] = [
{
type: FiltersType.CHECKBOX,
title: 'Host Name',
attributeKey: {
key: 'host_name',
dataType: DataTypes.String,
type: 'resource',
},
aggregateOperator: 'noop',
aggregateAttribute: 'system_cpu_load_average_15m',
dataSource: DataSource.METRICS,
defaultOpen: true,
},
{
type: FiltersType.CHECKBOX,
title: 'OS Type',
attributeKey: {
key: 'os_type',
dataType: DataTypes.String,
type: 'resource',
},
aggregateOperator: 'noop',
aggregateAttribute: 'system_cpu_load_average_15m',
dataSource: DataSource.METRICS,
defaultOpen: true,
},
];
export function getHostsQuickFiltersConfig(
dotMetricsEnabled: boolean,
): IQuickFiltersConfig[] {
const hostNameKey = dotMetricsEnabled ? 'host.name' : 'host_name';
const osTypeKey = dotMetricsEnabled ? 'os.type' : 'os_type';
const metricName = dotMetricsEnabled
? 'system.cpu.load_average.15m'
: 'system_cpu_load_average_15m';
const environmentKey = dotMetricsEnabled
? 'deployment.environment'
: 'deployment_environment';
return [
{
type: FiltersType.CHECKBOX,
title: 'Host Name',
attributeKey: {
key: hostNameKey,
dataType: DataTypes.String,
type: 'resource',
},
aggregateOperator: 'noop',
aggregateAttribute: metricName,
dataSource: DataSource.METRICS,
defaultOpen: true,
},
{
type: FiltersType.CHECKBOX,
title: 'OS Type',
attributeKey: {
key: osTypeKey,
dataType: DataTypes.String,
type: 'resource',
},
aggregateOperator: 'noop',
aggregateAttribute: metricName,
dataSource: DataSource.METRICS,
defaultOpen: true,
},
{
type: FiltersType.CHECKBOX,
title: 'Environment',
attributeKey: {
key: environmentKey,
dataType: DataTypes.String,
type: 'resource',
},
defaultOpen: true,
},
];
}

View File

@@ -140,6 +140,7 @@ function Hosts(): JSX.Element {
records: data.records,
total: data.total,
endTimeBeforeRetention: data.endTimeBeforeRetention,
warning: data.warning,
};
} catch (error) {
return {

View File

@@ -1,5 +0,0 @@
.entityGroupHeader {
display: flex;
align-items: center;
gap: var(--spacing-5);
}

View File

@@ -1,21 +0,0 @@
import { Group } from '@signozhq/icons';
import styles from './EntityGroupHeader.module.scss';
interface EntityGroupHeaderProps {
title: string;
icon?: React.ReactNode;
}
function EntityGroupHeader({
title,
icon,
}: EntityGroupHeaderProps): JSX.Element {
return (
<div className={styles.entityGroupHeader}>
{icon || <Group size={14} data-hide-expanded="true" />} {title}
</div>
);
}
export default EntityGroupHeader;

View File

@@ -1,666 +0,0 @@
import React, {
useCallback,
useEffect,
useMemo,
useRef,
useState,
} from 'react';
import { useQuery } from 'react-query';
// eslint-disable-next-line no-restricted-imports
import { Color, Spacing } from '@signozhq/design-tokens';
import { Button, Drawer, Tooltip } from 'antd';
import { ToggleGroupSimple } from '@signozhq/ui/toggle-group';
import { Divider } from '@signozhq/ui/divider';
import { Typography } from '@signozhq/ui/typography';
import logEvent from 'api/common/logEvent';
import { combineInitialAndUserExpression } from 'components/QueryBuilderV2/QueryV2/QuerySearch/utils';
import { convertFiltersToExpression } from 'components/QueryBuilderV2/utils';
import { InfraMonitoringEvents } from 'constants/events';
import { QueryParams } from 'constants/query';
import {
initialQueryBuilderFormValuesMap,
initialQueryState,
} from 'constants/queryBuilder';
import ROUTES from 'constants/routes';
import { DEFAULT_TIME_RANGE } from 'container/TopNav/DateTimeSelectionV2/constants';
import {
CustomTimeType,
Time,
} from 'container/TopNav/DateTimeSelectionV2/types';
import { useIsDarkMode } from 'hooks/useDarkMode';
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
import GetMinMax from 'lib/getMinMax';
import {
BarChart,
ChevronsLeftRight,
Compass,
DraftingCompass,
ScrollText,
X,
} from '@signozhq/icons';
import { isCustomTimeRange, useGlobalTimeStore } from 'store/globalTime';
import { NANO_SECOND_MULTIPLIER } from 'store/globalTime/utils';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import {
TagFilter,
TagFilterItem,
} from 'types/api/queryBuilder/queryBuilderData';
import {
LogsAggregatorOperator,
TracesAggregatorOperator,
} from 'types/common/queryBuilder';
import { openInNewTab } from 'utils/navigation';
import { v4 as uuidv4 } from 'uuid';
import { InfraMonitoringEntity, VIEW_TYPES } from '../constants';
import EntityEvents from '../EntityDetailsUtils/EntityEvents';
import EntityLogs from '../EntityDetailsUtils/EntityLogs';
import { K8S_ENTITY_LOGS_EXPRESSION_KEY } from '../EntityDetailsUtils/EntityLogs/hooks';
import EntityMetrics from '../EntityDetailsUtils/EntityMetrics';
import EntityTraces from '../EntityDetailsUtils/EntityTraces';
import { K8S_ENTITY_TRACES_EXPRESSION_KEY } from '../EntityDetailsUtils/EntityTraces/hooks';
import {
useInfraMonitoringEventsFilters,
useInfraMonitoringLogFilters,
useInfraMonitoringSelectedItem,
useInfraMonitoringTracesFilters,
useInfraMonitoringView,
} from '../hooks';
import LoadingContainer from '../LoadingContainer';
import '../EntityDetailsUtils/entityDetails.styles.scss';
import { parseAsString, useQueryState } from 'nuqs';
const TimeRangeOffset = 1000000000;
export interface K8sDetailsMetadataConfig<T> {
label: string;
getValue: (entity: T) => string | number;
render?: (value: string | number, entity: T) => React.ReactNode;
}
export interface K8sDetailsFilters {
filters: TagFilter;
start: number;
end: number;
}
export interface K8sBaseDetailsProps<T> {
category: InfraMonitoringEntity;
eventCategory: string;
// Data fetching configuration
getSelectedItemFilters: (selectedItem: string) => TagFilter;
fetchEntityData: (
filters: K8sDetailsFilters,
signal?: AbortSignal,
) => Promise<{ data: T | null; error?: string | null }>;
// Entity configuration
getEntityName: (entity: T) => string;
getInitialLogTracesFilters: (entity: T) => TagFilterItem[];
getInitialEventsFilters: (entity: T) => TagFilterItem[];
metadataConfig: K8sDetailsMetadataConfig<T>[];
entityWidgetInfo: {
title: string;
yAxisUnit: string;
}[];
getEntityQueryPayload: (
entity: T,
start: number,
end: number,
dotMetricsEnabled: boolean,
) => GetQueryResultsProps[];
queryKeyPrefix: string;
/** When true, only metrics are shown and the Metrics/Logs/Traces/Events tab bar is hidden. */
hideDetailViewTabs?: boolean;
tabsConfig?: {
showMetrics?: boolean;
showLogs?: boolean;
showTraces?: boolean;
showEvents?: boolean;
};
customTabs?: Array<{
key: string;
label: string;
icon: React.ReactNode;
render: (props: {
entity: T;
timeRange: { startTime: number; endTime: number };
selectedInterval: Time;
handleTimeChange: (
interval: Time | CustomTimeType,
dateTimeRange?: [number, number],
) => void;
}) => React.ReactNode;
}>;
}
export function createFilterItem(
key: string,
value: string,
dataType: DataTypes = DataTypes.String,
): TagFilterItem {
return {
id: uuidv4(),
key: {
key,
dataType,
type: 'resource',
id: `${key}--string--resource--false`,
},
op: '=',
value,
};
}
// eslint-disable-next-line sonarjs/cognitive-complexity
export default function K8sBaseDetails<T>({
category,
eventCategory,
getSelectedItemFilters,
fetchEntityData,
getEntityName,
getInitialLogTracesFilters,
getInitialEventsFilters,
metadataConfig,
entityWidgetInfo,
getEntityQueryPayload,
queryKeyPrefix,
hideDetailViewTabs = false,
tabsConfig,
customTabs,
}: K8sBaseDetailsProps<T>): JSX.Element {
const selectedTime = useGlobalTimeStore((s) => s.selectedTime);
const getMinMaxTime = useGlobalTimeStore((s) => s.getMinMaxTime);
const lastComputedMinMax = useGlobalTimeStore((s) => s.lastComputedMinMax);
const getAutoRefreshQueryKey = useGlobalTimeStore(
(s) => s.getAutoRefreshQueryKey,
);
const isDarkMode = useIsDarkMode();
const [selectedItem, setSelectedItem] = useInfraMonitoringSelectedItem();
const entityQueryKey = useMemo(
() =>
getAutoRefreshQueryKey(
selectedTime,
`${queryKeyPrefix}EntityDetails`,
selectedItem,
),
[queryKeyPrefix, selectedItem, selectedTime, getAutoRefreshQueryKey],
);
const {
data: entityResponse,
isLoading: isEntityLoading,
isError: isEntityError,
error: entityError,
} = useQuery({
queryKey: entityQueryKey,
queryFn: ({ signal }) => {
if (!selectedItem) {
return { data: null };
}
const filters = getSelectedItemFilters(selectedItem);
const { minTime, maxTime } = getMinMaxTime();
return fetchEntityData(
{
filters,
start: Math.floor(minTime / NANO_SECOND_MULTIPLIER),
end: Math.floor(maxTime / NANO_SECOND_MULTIPLIER),
},
signal,
);
},
enabled: !!selectedItem,
});
const entity = entityResponse?.data ?? null;
const hasResponseError = !!entityResponse?.error;
const logsAndTracesInitialExpression = useMemo(() => {
if (!entity) {
return '';
}
const primaryFiltersOnly = {
op: 'AND' as const,
items: getInitialLogTracesFilters(entity),
};
return convertFiltersToExpression(primaryFiltersOnly).expression;
}, [entity, getInitialLogTracesFilters]);
const eventsInitialExpression = useMemo(() => {
if (!entity) {
return '';
}
const primaryFiltersOnly = {
op: 'AND' as const,
items: getInitialEventsFilters(entity),
};
return convertFiltersToExpression(primaryFiltersOnly).expression;
}, [entity, getInitialEventsFilters]);
const handleClose = useCallback((): void => {
setSelectedItem(null);
}, [setSelectedItem]);
const entityName = entity ? getEntityName(entity) : '';
// Content state (previously in K8sBaseDetailsContent)
const tabVisibility = useMemo(
() => ({
showMetrics: true,
showLogs: true,
showTraces: true,
showEvents: true,
...tabsConfig,
}),
[tabsConfig],
);
const { startMs, endMs } = useMemo(
() => ({
startMs: Math.floor(lastComputedMinMax.minTime / NANO_SECOND_MULTIPLIER),
endMs: Math.floor(lastComputedMinMax.maxTime / NANO_SECOND_MULTIPLIER),
}),
[lastComputedMinMax],
);
const [modalTimeRange, setModalTimeRange] = useState(() => ({
startTime: startMs,
endTime: endMs,
}));
// TODO(h4ad): Remove this and use context/zustand
const lastSelectedInterval = useRef<Time | null>(null);
const [selectedInterval, setSelectedInterval] = useState<Time>(
lastSelectedInterval.current
? lastSelectedInterval.current
: isCustomTimeRange(selectedTime)
? DEFAULT_TIME_RANGE
: selectedTime,
);
const [selectedView, setSelectedView] = useInfraMonitoringView();
const effectiveView = hideDetailViewTabs ? VIEW_TYPES.METRICS : selectedView;
const [, setLogFiltersParam] = useInfraMonitoringLogFilters();
const [, setTracesFiltersParam] = useInfraMonitoringTracesFilters();
const [, setEventsFiltersParam] = useInfraMonitoringEventsFilters();
const [userLogsExpression] = useQueryState(
K8S_ENTITY_LOGS_EXPRESSION_KEY,
parseAsString,
);
const [userTracesExpression] = useQueryState(
K8S_ENTITY_TRACES_EXPRESSION_KEY,
parseAsString,
);
useEffect(() => {
if (entity) {
logEvent(InfraMonitoringEvents.PageVisited, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category: eventCategory,
});
}
}, [entity, eventCategory]);
useEffect(() => {
const currentSelectedInterval = lastSelectedInterval.current || selectedTime;
if (!isCustomTimeRange(currentSelectedInterval)) {
setSelectedInterval(currentSelectedInterval);
const { minTime, maxTime } = getMinMaxTime();
setModalTimeRange({
startTime: Math.floor(minTime / TimeRangeOffset),
endTime: Math.floor(maxTime / TimeRangeOffset),
});
}
}, [getMinMaxTime, selectedTime]);
const handleTabChange = (value: string): void => {
setSelectedView(value);
setLogFiltersParam(null);
setTracesFiltersParam(null);
setEventsFiltersParam(null);
logEvent(InfraMonitoringEvents.TabChanged, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category: eventCategory,
view: value,
});
};
const handleTimeChange = useCallback(
(interval: Time | CustomTimeType, dateTimeRange?: [number, number]): void => {
lastSelectedInterval.current = interval as Time;
setSelectedInterval(interval as Time);
if (interval === 'custom' && dateTimeRange) {
setModalTimeRange({
startTime: Math.floor(dateTimeRange[0] / 1000),
endTime: Math.floor(dateTimeRange[1] / 1000),
});
} else {
const { maxTime, minTime } = GetMinMax(interval);
setModalTimeRange({
startTime: Math.floor(minTime / TimeRangeOffset),
endTime: Math.floor(maxTime / TimeRangeOffset),
});
}
logEvent(InfraMonitoringEvents.TimeUpdated, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category: eventCategory,
interval,
view: effectiveView,
});
},
[eventCategory, effectiveView],
);
const handleExplorePagesRedirect = (): void => {
const urlQuery = new URLSearchParams();
if (selectedInterval !== 'custom') {
urlQuery.set(QueryParams.relativeTime, selectedInterval);
} else {
urlQuery.delete(QueryParams.relativeTime);
urlQuery.set(QueryParams.startTime, modalTimeRange.startTime.toString());
urlQuery.set(QueryParams.endTime, modalTimeRange.endTime.toString());
}
logEvent(InfraMonitoringEvents.ExploreClicked, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category: eventCategory,
view: selectedView,
});
if (selectedView === VIEW_TYPES.LOGS) {
const fullExpression = combineInitialAndUserExpression(
logsAndTracesInitialExpression,
userLogsExpression || '',
);
const compositeQuery = {
...initialQueryState,
queryType: 'builder',
builder: {
...initialQueryState.builder,
queryData: [
{
...initialQueryBuilderFormValuesMap.logs,
aggregateOperator: LogsAggregatorOperator.NOOP,
expression: fullExpression,
filter: { expression: fullExpression },
},
],
},
};
urlQuery.set('compositeQuery', JSON.stringify(compositeQuery));
openInNewTab(`${ROUTES.LOGS_EXPLORER}?${urlQuery.toString()}`);
} else if (selectedView === VIEW_TYPES.TRACES) {
const fullExpression = combineInitialAndUserExpression(
logsAndTracesInitialExpression,
userTracesExpression || '',
);
const compositeQuery = {
...initialQueryState,
queryType: 'builder',
builder: {
...initialQueryState.builder,
queryData: [
{
...initialQueryBuilderFormValuesMap.traces,
aggregateOperator: TracesAggregatorOperator.NOOP,
expression: fullExpression,
filter: { expression: fullExpression },
},
],
},
};
urlQuery.set('compositeQuery', JSON.stringify(compositeQuery));
openInNewTab(`${ROUTES.TRACES_EXPLORER}?${urlQuery.toString()}`);
}
};
return (
<Drawer
width="70%"
title={
<>
<Divider type="vertical" />
<Typography.Text className="title">
{entityName ||
((isEntityError || hasResponseError) &&
'Failed to load entity details') ||
(isEntityLoading && 'Loading...') ||
'-'}
</Typography.Text>
</>
}
placement="right"
onClose={handleClose}
open={!!selectedItem}
style={{
overscrollBehavior: 'contain',
background: isDarkMode ? Color.BG_INK_400 : Color.BG_VANILLA_100,
}}
className="entity-detail-drawer"
destroyOnClose
closeIcon={<X size={16} style={{ marginTop: Spacing.MARGIN_1 }} />}
>
{isEntityLoading && <LoadingContainer />}
{(isEntityError || hasResponseError) && (
<div className="entity-error-container">
<Typography.Text color="danger">
{entityResponse?.error ||
(entityError instanceof Error
? entityError.message
: 'Failed to load entity details')}
</Typography.Text>
</div>
)}
{entity && !isEntityLoading && !hasResponseError && (
<>
<div className="entity-detail-drawer__entity">
<div className="entity-details-grid">
<div className="labels-row">
{metadataConfig.map((config) => (
<Typography.Text
key={config.label}
color="muted"
className="entity-details-metadata-label"
>
{config.label}
</Typography.Text>
))}
</div>
<div className="values-row">
{metadataConfig.map((config) => {
const value = config.getValue(entity);
const displayValue = String(value);
return (
<Typography.Text
key={config.label}
className="entity-details-metadata-value"
>
{config.render ? (
config.render(value, entity)
) : (
<Tooltip title={displayValue}>{displayValue}</Tooltip>
)}
</Typography.Text>
);
})}
</div>
</div>
</div>
{!hideDetailViewTabs && (
<div className="views-tabs-container">
<ToggleGroupSimple
type="single"
className="views-tabs"
onChange={handleTabChange}
value={selectedView}
items={[
...(tabVisibility.showMetrics
? [
{
value: VIEW_TYPES.METRICS,
label: (
<div className="view-title">
<BarChart size={14} />
Metrics
</div>
),
},
]
: []),
...(tabVisibility.showLogs
? [
{
value: VIEW_TYPES.LOGS,
label: (
<div className="view-title">
<ScrollText size={14} />
Logs
</div>
),
},
]
: []),
...(tabVisibility.showTraces
? [
{
value: VIEW_TYPES.TRACES,
label: (
<div className="view-title">
<DraftingCompass size={14} />
Traces
</div>
),
},
]
: []),
...(tabVisibility.showEvents
? [
{
value: VIEW_TYPES.EVENTS,
label: (
<div className="view-title">
<ChevronsLeftRight size={14} />
Events
</div>
),
},
]
: []),
...(customTabs?.map((tab) => ({
value: tab.key,
label: (
<div className="view-title">
{tab.icon}
{tab.label}
</div>
),
})) ?? []),
]}
/>
{selectedView === VIEW_TYPES.LOGS && (
<Tooltip title="Go to Logs Explorer" placement="left">
<Button
icon={<Compass size={18} />}
className="compass-button"
onClick={handleExplorePagesRedirect}
/>
</Tooltip>
)}
{selectedView === VIEW_TYPES.TRACES && (
<Tooltip title="Go to Traces Explorer" placement="left">
<Button
icon={<Compass size={18} />}
className="compass-button"
onClick={handleExplorePagesRedirect}
/>
</Tooltip>
)}
</div>
)}
{effectiveView === VIEW_TYPES.METRICS && (
<EntityMetrics<T>
entity={entity}
selectedInterval={selectedInterval}
timeRange={modalTimeRange}
handleTimeChange={handleTimeChange}
isModalTimeSelection
entityWidgetInfo={entityWidgetInfo}
getEntityQueryPayload={getEntityQueryPayload}
category={category}
queryKey={`${queryKeyPrefix}Metrics`}
/>
)}
{effectiveView === VIEW_TYPES.LOGS && (
<EntityLogs
timeRange={modalTimeRange}
isModalTimeSelection
handleTimeChange={handleTimeChange}
selectedInterval={selectedInterval}
queryKey={`${queryKeyPrefix}Logs`}
category={category}
initialExpression={logsAndTracesInitialExpression}
/>
)}
{effectiveView === VIEW_TYPES.TRACES && (
<EntityTraces
timeRange={modalTimeRange}
isModalTimeSelection
handleTimeChange={handleTimeChange}
selectedInterval={selectedInterval}
queryKey={`${queryKeyPrefix}Traces`}
category={category}
initialExpression={logsAndTracesInitialExpression}
/>
)}
{effectiveView === VIEW_TYPES.EVENTS && tabVisibility.showEvents && (
<EntityEvents
timeRange={modalTimeRange}
isModalTimeSelection
handleTimeChange={handleTimeChange}
selectedInterval={selectedInterval}
category={category}
queryKey={`${queryKeyPrefix}Events`}
initialExpression={eventsInitialExpression}
/>
)}
{customTabs?.map((tab) =>
selectedView === tab.key ? (
<React.Fragment key={tab.key}>
{tab.render({
entity,
timeRange: modalTimeRange,
selectedInterval,
handleTimeChange,
})}
</React.Fragment>
) : null,
)}
</>
)}
</Drawer>
);
}

View File

@@ -1,40 +0,0 @@
.emptyStateContainer {
display: flex;
flex: 1;
align-items: center;
justify-content: center;
min-height: 400px;
}
.k8SListTable {
padding-left: var(--spacing-2);
--tanstack-table-header-cell-bg: var(--l2-background);
--tanstack-table-header-cell-color: var(--l2-foreground);
--tanstack-table-cell-bg: var(--l2-background);
--tanstack-table-cell-color: var(--l2-foreground);
--tanstack-table-row-hover-bg: var(--l2-background-hover);
--tanstack-table-row-active-bg: var(--l2-background-active);
--tanstack-table-resize-handle-bg: var(--l2-background);
--tanstack-table-resize-handle-hover-bg: var(--l2-border);
--tanstack-table-row-height: 42px;
--tanstack-cell-padding-top-override: 5px;
--tanstack-cell-padding-bottom-override: 5px;
--tanstack-cell-padding-left-override: 5px;
--tanstack-cell-padding-right-override: 5px;
--tanstack-expansion-first-col-padding-left: 30px;
&[data-has-group-by='false'] {
--tanstack-cell-padding-left-first-column: 28px;
}
}
.paginationContainer {
padding-bottom: var(--spacing-8);
padding-right: var(--spacing-8);
ul {
margin: 0;
}
}

View File

@@ -1,297 +0,0 @@
import { useCallback, useEffect, useMemo } from 'react';
import { useQuery } from 'react-query';
import { Typography } from '@signozhq/ui/typography';
import logEvent from 'api/common/logEvent';
import TanStackTable, {
TableColumnDef,
useHiddenColumnIds,
} from 'components/TanStackTableView';
import { InfraMonitoringEvents } from 'constants/events';
import { parseAsString, useQueryState } from 'nuqs';
import { useGlobalTimeStore } from 'store/globalTime';
import { NANO_SECOND_MULTIPLIER } from 'store/globalTime/utils';
import { openInNewTab } from 'utils/navigation';
import {
INFRA_MONITORING_K8S_PARAMS_KEYS,
InfraMonitoringEntity,
} from '../constants';
import {
useInfraMonitoringFiltersK8s,
useInfraMonitoringGroupBy,
useInfraMonitoringOrderBy,
useInfraMonitoringPageListing,
useInfraMonitoringPageSizeListing,
} from '../hooks';
import { K8sEmptyState } from './K8sEmptyState';
import { K8sExpandedRow } from './K8sExpandedRow';
import K8sHeader from './K8sHeader';
import { K8sBaseFilters } from './types';
import { getGroupedByMeta } from './utils';
import styles from './K8sBaseList.module.scss';
import cx from 'classnames';
export type K8sBaseListEmptyStateContext = {
isError: boolean;
error?: string | null;
totalCount: number;
hasFilters: boolean;
isLoading: boolean;
rawData?: unknown;
};
/** Base type constraint for K8s entity data */
export type K8sEntityData = { meta?: Record<string, string> };
export type K8sBaseListProps<T extends K8sEntityData> = {
controlListPrefix?: React.ReactNode;
entity: InfraMonitoringEntity;
tableColumns: TableColumnDef<T>[];
fetchListData: (
filters: K8sBaseFilters,
signal?: AbortSignal,
) => Promise<{
data: T[];
total: number;
error?: string | null;
rawData?: unknown;
}>;
/** Function to get the unique key for a row. */
getRowKey?: (record: T) => string;
/** Function to get the item key used for selection. Defaults to getRowKey if not provided. */
getItemKey?: (record: T) => string;
eventCategory: InfraMonitoringEvents;
renderEmptyState?: (
context: K8sBaseListEmptyStateContext,
) => React.ReactNode | null;
};
export function K8sBaseList<T extends K8sEntityData>({
controlListPrefix,
entity,
tableColumns,
fetchListData,
getRowKey,
getItemKey,
eventCategory,
renderEmptyState,
}: K8sBaseListProps<T>): JSX.Element {
const [queryFilters] = useInfraMonitoringFiltersK8s();
const [currentPage] = useInfraMonitoringPageListing();
const [currentPageSize] = useInfraMonitoringPageSizeListing();
const [groupBy] = useInfraMonitoringGroupBy();
const [orderBy] = useInfraMonitoringOrderBy();
const [selectedItem, setSelectedItem] = useQueryState(
'selectedItem',
parseAsString,
);
const columnStorageKey = `k8s-${entity}-columns`;
const hiddenColumnIds = useHiddenColumnIds(columnStorageKey);
const selectedTime = useGlobalTimeStore((s) => s.selectedTime);
const refreshInterval = useGlobalTimeStore((s) => s.refreshInterval);
const isRefreshEnabled = useGlobalTimeStore((s) => s.isRefreshEnabled);
const getMinMaxTime = useGlobalTimeStore((s) => s.getMinMaxTime);
const getAutoRefreshQueryKey = useGlobalTimeStore(
(s) => s.getAutoRefreshQueryKey,
);
const queryKey = useMemo(() => {
return getAutoRefreshQueryKey(
selectedTime,
'k8sBaseList',
entity,
String(currentPageSize),
String(currentPage),
JSON.stringify(queryFilters),
JSON.stringify(orderBy),
JSON.stringify(groupBy),
);
}, [
getAutoRefreshQueryKey,
selectedTime,
entity,
currentPageSize,
currentPage,
queryFilters,
orderBy,
groupBy,
]);
const { data, isLoading, isError } = useQuery({
queryKey,
queryFn: ({ signal }) => {
const { minTime, maxTime } = getMinMaxTime();
return fetchListData(
{
limit: currentPageSize,
offset: (currentPage - 1) * currentPageSize,
filters: queryFilters || { items: [], op: 'AND' },
start: Math.floor(minTime / NANO_SECOND_MULTIPLIER),
end: Math.floor(maxTime / NANO_SECOND_MULTIPLIER),
orderBy: orderBy || undefined,
groupBy: groupBy?.length > 0 ? groupBy : undefined,
},
signal,
);
},
refetchInterval: isRefreshEnabled ? refreshInterval : false,
});
const pageData = data?.data ?? [];
const totalCount = data?.total || 0;
const hasFilters = (queryFilters?.items?.length ?? 0) > 0;
const getGroupKeyFn = useCallback(
(item: T) => getGroupedByMeta(item, groupBy),
[groupBy],
);
useEffect(() => {
logEvent(InfraMonitoringEvents.PageVisited, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.ListPage,
category: eventCategory,
total: totalCount,
});
}, [eventCategory, totalCount]);
const handleRowClick = useCallback(
(_record: T, itemKey: string): void => {
if (groupBy.length === 0) {
setSelectedItem(itemKey);
}
logEvent(InfraMonitoringEvents.ItemClicked, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.ListPage,
category: eventCategory,
});
},
[eventCategory, groupBy.length, setSelectedItem],
);
const handleRowClickNewTab = useCallback(
(_record: T, itemKey: string): void => {
if (groupBy.length > 0) {
return;
}
// Build URL with selectedItem param
const url = new URL(window.location.href);
url.searchParams.set('selectedItem', itemKey);
openInNewTab(url.pathname + url.search);
logEvent(InfraMonitoringEvents.ItemClicked, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.ListPage,
category: eventCategory,
});
},
[eventCategory, groupBy.length],
);
const isGroupedByAttribute = groupBy.length > 0;
// Filter columns for expanded row based on parent's hidden columns
const expandedRowColumns = useMemo(
() => tableColumns.filter((col) => !hiddenColumnIds.includes(col.id)),
[tableColumns, hiddenColumnIds],
);
const renderExpandedRow = useCallback(
(
_record: T,
rowKey: string,
groupMeta?: Record<string, string>,
): JSX.Element => (
<K8sExpandedRow<T>
rowKey={rowKey}
groupMeta={groupMeta}
entity={entity}
tableColumns={expandedRowColumns}
fetchListData={fetchListData}
getRowKey={getRowKey}
getItemKey={getItemKey}
/>
),
[entity, fetchListData, getRowKey, getItemKey, expandedRowColumns],
);
const getRowCanExpand = useCallback(
(): boolean => isGroupedByAttribute,
[isGroupedByAttribute],
);
const showTableLoadingState = isLoading;
const emptyTableMessage: React.ReactNode = renderEmptyState?.({
isError,
error: data?.error,
totalCount,
hasFilters,
isLoading: showTableLoadingState,
rawData: data?.rawData,
}) || (
<K8sEmptyState
isError={isError}
error={data?.error}
isLoading={showTableLoadingState}
rawData={data?.rawData}
/>
);
const showEmptyState = !showTableLoadingState && pageData.length === 0;
return (
<>
<K8sHeader
controlListPrefix={controlListPrefix}
entity={entity}
showAutoRefresh={!selectedItem}
columns={tableColumns}
columnStorageKey={columnStorageKey}
/>
{isError && (
<Typography>{data?.error?.toString() || 'Something went wrong'}</Typography>
)}
{showEmptyState ? (
<div className={styles.emptyStateContainer}>{emptyTableMessage}</div>
) : (
<TanStackTable<T>
data={pageData}
columns={tableColumns}
columnStorageKey={columnStorageKey}
isLoading={showTableLoadingState}
getRowKey={getRowKey}
getItemKey={getItemKey}
groupBy={groupBy}
getGroupKey={getGroupKeyFn}
onRowClick={handleRowClick}
onRowClickNewTab={handleRowClickNewTab}
renderExpandedRow={isGroupedByAttribute ? renderExpandedRow : undefined}
getRowCanExpand={isGroupedByAttribute ? getRowCanExpand : undefined}
className={cx(styles.k8SListTable, expandedRowColumns)}
enableQueryParams={{
page: INFRA_MONITORING_K8S_PARAMS_KEYS.PAGE,
limit: INFRA_MONITORING_K8S_PARAMS_KEYS.PAGE_SIZE,
orderBy: INFRA_MONITORING_K8S_PARAMS_KEYS.ORDER_BY,
expanded: INFRA_MONITORING_K8S_PARAMS_KEYS.EXPANDED,
}}
pagination={{
total: totalCount,
defaultLimit: 10,
defaultPage: 1,
showTotalCount: true,
totalCountLabel: entity.charAt(0).toUpperCase() + entity.slice(1),
}}
paginationClassname={styles.paginationContainer}
/>
)}
</>
);
}

View File

@@ -1,56 +0,0 @@
.container {
height: 30vh;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
}
.content {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
gap: var(--spacing-3);
width: fit-content;
max-width: 500px;
padding: 24px;
text-align: center;
}
.title {
font-weight: 500;
margin: 0;
font-size: var(--periscope-font-size-medium);
}
.message {
max-width: 400px;
}
.noDataMessage {
display: flex;
flex-direction: column;
gap: var(--spacing-1);
}
.emptyStateSvg {
width: 32px;
max-width: 100%;
}
.eyesEmoji {
height: 32px;
width: 32px;
}
.errorIcon {
color: var(--danger-background);
}
.actions {
display: flex;
align-items: center;
gap: 8px;
margin-top: 16px;
}

View File

@@ -1,146 +0,0 @@
import { useCallback } from 'react';
import { Button } from '@signozhq/ui/button';
import { useGetTenantLicense } from 'hooks/useGetTenantLicense';
import history from 'lib/history';
import { LifeBuoy, TriangleAlert } from '@signozhq/icons';
import emptyStateUrl from '@/assets/Icons/emptyState.svg';
import eyesEmojiUrl from '@/assets/Images/eyesEmoji.svg';
import type { K8sBaseListEmptyStateContext } from './K8sBaseList';
import styles from './K8sEmptyState.module.scss';
export interface K8sListResponseMetadata {
sentAnyHostMetricsData?: boolean;
isSendingK8SAgentMetrics?: boolean;
endTimeBeforeRetention?: boolean;
}
type K8sEmptyStateProps = Partial<K8sBaseListEmptyStateContext>;
const handleContactSupport = (isCloudUser: boolean): void => {
if (isCloudUser) {
history.push('/support');
} else {
window.open('https://signoz.io/slack', '_blank');
}
};
export function K8sEmptyState({
isError,
error,
isLoading,
rawData,
}: K8sEmptyStateProps): JSX.Element | null {
const { isCloudUser } = useGetTenantLicense();
const handleSupport = useCallback(() => {
handleContactSupport(isCloudUser);
}, [isCloudUser]);
if (isLoading) {
return null;
}
if (isError || error) {
return (
<div className={styles.container}>
<div className={styles.content}>
<TriangleAlert size={32} className={styles.errorIcon} />
<span className={styles.message}>
{error || 'An error occurred while fetching data.'}
</span>
<p>
Our team is getting on top to resolve this. Please reach out to support if
the issue persists.
</p>
<div className={styles.actions}>
<Button
onClick={handleSupport}
variant="solid"
color="secondary"
prefix={<LifeBuoy size={14} />}
>
Contact Support
</Button>
</div>
</div>
</div>
);
}
const metadata = rawData as K8sListResponseMetadata | undefined;
if (metadata?.sentAnyHostMetricsData === false) {
return (
<div className={styles.container}>
<div className={styles.content}>
<img className={styles.eyesEmoji} src={eyesEmojiUrl} alt="eyes emoji" />
<div className={styles.noDataMessage}>
<h5 className={styles.title}>No host metrics data received yet</h5>
<span className={styles.message}>
Please refer to{' '}
<a
href="https://signoz.io/docs/infrastructure-monitoring/hostmetrics/"
target="_blank"
rel="noreferrer"
>
our documentation
</a>{' '}
to learn how to send host metrics.
</span>
</div>
</div>
</div>
);
}
if (metadata?.isSendingK8SAgentMetrics) {
return (
<div className={styles.container}>
<div className={styles.content}>
<img className={styles.eyesEmoji} src={eyesEmojiUrl} alt="eyes emoji" />
<span className={styles.message}>
To see K8s metrics, upgrade to the latest version of SigNoz k8s-infra
chart. Please contact support if you need help.
</span>
</div>
</div>
);
}
if (metadata?.endTimeBeforeRetention) {
return (
<div className={styles.container}>
<div className={styles.content}>
<img className={styles.eyesEmoji} src={eyesEmojiUrl} alt="eyes emoji" />
<div className={styles.noDataMessage}>
<h5 className={styles.title}>
Queried time range is before earliest K8s metrics
</h5>
<span className={styles.message}>
Your requested end time is earlier than the earliest detected time of K8s
metrics data, please adjust your end time.
</span>
</div>
</div>
</div>
);
}
return (
<div className={styles.container}>
<div className={styles.content}>
<img
src={emptyStateUrl}
alt="empty-state"
className={styles.emptyStateSvg}
/>
<span className={styles.message}>
This query had no results. Edit your query and try again!
</span>
</div>
</div>
);
}

View File

@@ -1,35 +0,0 @@
.expandedTableContainer {
overflow-x: auto;
}
.expandedTable {
--tanstack-table-header-cell-bg: var(--l1-background);
--tanstack-table-header-cell-color: var(--l1-foreground);
--tanstack-table-cell-bg: var(--l1-background);
--tanstack-table-cell-color: var(--l1-foreground);
--tanstack-table-row-hover-bg: var(--l1-background-hover);
--tanstack-table-row-active-bg: var(--l1-background-active);
--tanstack-table-resize-handle-bg: var(--l1-background);
--tanstack-table-resize-handle-hover-bg: var(--l1-border);
--tanstack-table-row-height: 36px;
--tanstack-cell-padding-left-override: 15px;
--tanstack-cell-padding-right-override: 15px;
& [data-hide-expanded='true'] {
display: none;
}
}
.expandedTableFooter {
display: flex;
justify-content: flex-start;
gap: var(--spacing-4);
background-color: var(--l1-background);
}
.viewAllButton {
display: flex;
align-items: center;
margin: var(--spacing-4);
}

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@@ -1,238 +0,0 @@
import { useCallback, useEffect, useMemo } from 'react';
import { useQuery } from 'react-query';
import { Button } from '@signozhq/ui/button';
import { Typography } from '@signozhq/ui/typography';
import TanStackTable, {
SortState,
TableColumnDef,
TanStackTableStateProvider,
} from 'components/TanStackTableView';
import { CornerDownRight } from '@signozhq/icons';
import { useQueryState } from 'nuqs';
import { useGlobalTimeStore } from 'store/globalTime';
import { NANO_SECOND_MULTIPLIER } from 'store/globalTime/utils';
import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
import { parseAsJsonNoValidate } from 'utils/nuqsParsers';
import { InfraMonitoringEntity } from '../constants';
import {
useInfraMonitoringFiltersK8s,
useInfraMonitoringGroupBy,
useInfraMonitoringOrderBy,
useInfraMonitoringPageListing,
useInfraMonitoringSelectedItem,
} from '../hooks';
import { K8sBaseFilters } from './types';
import styles from './K8sExpandedRow.module.scss';
const EXPANDED_ROW_LIMIT = 10;
export type K8sExpandedRowProps<T> = {
/** Pre-computed row key from parent table (includes group prefix + duplicate handling) */
rowKey: string;
/** Group metadata for building filters */
groupMeta?: Record<string, string>;
entity: InfraMonitoringEntity;
tableColumns: TableColumnDef<T>[];
fetchListData: (
filters: K8sBaseFilters,
signal?: AbortSignal,
) => Promise<{
data: T[];
total: number;
error?: string | null;
rawData?: unknown;
}>;
/** Function to get the unique key for a row. */
getRowKey?: (record: T) => string;
/** Function to get the item key used for selection. Defaults to getRowKey if not provided. */
getItemKey?: (record: T) => string;
};
export function K8sExpandedRow<T>({
rowKey,
groupMeta,
entity,
tableColumns,
fetchListData,
getRowKey,
getItemKey,
}: K8sExpandedRowProps<T>): JSX.Element {
const [, setGroupBy] = useInfraMonitoringGroupBy();
const [, setCurrentPage] = useInfraMonitoringPageListing();
const [queryFilters, setFilters] = useInfraMonitoringFiltersK8s();
const [, setSelectedItem] = useInfraMonitoringSelectedItem();
const [, setMainOrderBy] = useInfraMonitoringOrderBy();
const orderByParamKey = useMemo(
() => `orderBy_${rowKey.replace(/[^a-zA-Z0-9]/g, '_')}`,
[rowKey],
);
const [orderBy, setOrderBy] = useQueryState(
orderByParamKey,
parseAsJsonNoValidate<SortState | null>()
.withDefault(null as never)
.withOptions({
history: 'push',
}),
);
useEffect(() => {
return (): void => {
void setOrderBy(null);
};
}, [setOrderBy]);
const storageKey = `k8s-${entity}-columns-expanded`;
const createFiltersForRecord = useCallback((): NonNullable<
IBuilderQuery['filters']
> => {
const baseFilters: IBuilderQuery['filters'] = {
items: [...(queryFilters?.items || [])],
op: 'and',
};
const metaKeys = groupMeta ?? {};
for (const key of Object.keys(metaKeys)) {
const value = metaKeys[key];
// Skip empty values to avoid creating invalid filters
if (value === '' || value === undefined || value === null) {
continue;
}
baseFilters.items.push({
key: {
key,
type: 'resource',
},
op: '=',
value,
id: key,
});
}
return baseFilters;
}, [queryFilters?.items, groupMeta]);
const selectedTime = useGlobalTimeStore((s) => s.selectedTime);
const refreshInterval = useGlobalTimeStore((s) => s.refreshInterval);
const isRefreshEnabled = useGlobalTimeStore((s) => s.isRefreshEnabled);
const getMinMaxTime = useGlobalTimeStore((s) => s.getMinMaxTime);
const getAutoRefreshQueryKey = useGlobalTimeStore(
(s) => s.getAutoRefreshQueryKey,
);
const queryKey = useMemo(() => {
return getAutoRefreshQueryKey(
selectedTime,
entity,
'k8sExpandedRow',
JSON.stringify(groupMeta),
rowKey,
JSON.stringify(queryFilters),
JSON.stringify(orderBy),
);
}, [
getAutoRefreshQueryKey,
selectedTime,
entity,
groupMeta,
rowKey,
queryFilters,
orderBy,
]);
const { data, isLoading, isError } = useQuery({
queryKey,
queryFn: async ({ signal }) => {
const { minTime, maxTime } = getMinMaxTime();
return await fetchListData(
{
limit: EXPANDED_ROW_LIMIT,
offset: 0,
filters: createFiltersForRecord(),
start: Math.floor(minTime / NANO_SECOND_MULTIPLIER),
end: Math.floor(maxTime / NANO_SECOND_MULTIPLIER),
orderBy: orderBy || undefined,
groupBy: undefined,
},
signal,
);
},
staleTime: 1000 * 60 * 30,
refetchInterval: isRefreshEnabled ? refreshInterval : false,
});
const expandedData = data?.data ?? [];
const handleRowClick = useCallback(
(_row: T, itemKey: string): void => {
setSelectedItem(itemKey);
},
[setSelectedItem],
);
const handleViewAllClick = (): void => {
const filters = createFiltersForRecord();
setGroupBy([]);
setCurrentPage(1);
setFilters(filters);
if (orderBy) {
setMainOrderBy(orderBy);
}
};
const total = data?.total ?? 0;
const hasMoreItems = total > EXPANDED_ROW_LIMIT;
const footerContent = hasMoreItems ? (
<Button
type="button"
color="secondary"
variant="outlined"
className={styles.viewAllButton}
onClick={handleViewAllClick}
prefix={<CornerDownRight size={14} />}
>
View All
</Button>
) : null;
return (
<div
className={styles.expandedTableContainer}
data-testid="expanded-table-container"
>
{isError && (
<Typography>{data?.error?.toString() || 'Something went wrong'}</Typography>
)}
<div data-testid="expanded-table">
<TanStackTableStateProvider>
<TanStackTable<T>
data={expandedData}
columns={tableColumns}
columnStorageKey={storageKey}
isLoading={isLoading}
getRowKey={getRowKey}
getItemKey={getItemKey}
onRowClick={handleRowClick}
enableQueryParams={{
orderBy: orderByParamKey,
}}
tableScrollerProps={{
className: styles.expandedTable,
}}
disableVirtualScroll
cellTypographySize="medium"
/>
</TanStackTableStateProvider>
{!isLoading && expandedData.length > 0 && (
<div className={styles.expandedTableFooter}>{footerContent}</div>
)}
</div>
</div>
);
}

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@@ -1,36 +0,0 @@
.drawer {
--dialog-description-padding: 0px 0px var(--spacing-8) 0px;
}
.columnItem {
display: flex;
align-items: center;
}
.columnsTitle {
color: var(--l2-foreground);
font-size: var(--periscope-font-size-small, 11px);
font-weight: var(--periscope-font-weight-medium, 500);
text-transform: uppercase;
padding: var(--spacing-4) var(--spacing-8);
border-bottom: 1px solid var(--l2-border);
&:not(:first-of-type) {
border-top: 1px solid var(--l2-border);
}
}
.columnsList {
display: flex;
flex-direction: column;
}
.columnItem {
justify-content: flex-start !important;
width: 100%;
}
.horizontalDivider {
border-top: 1px solid var(--l1-border);
}

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@@ -1,142 +0,0 @@
import { useMemo } from 'react';
import { Button } from '@signozhq/ui/button';
import { DrawerWrapper } from '@signozhq/ui/drawer';
import {
hideColumn,
showColumn,
TableColumnDef,
useHiddenColumnIds,
} from 'components/TanStackTableView';
import styles from './K8sFiltersSidePanel.module.scss';
type ColumnPickerItem = {
id: string;
label: string;
canBeHidden: boolean;
visibilityBehavior:
| 'hidden-on-expand'
| 'hidden-on-collapse'
| 'always-visible';
};
/**
* Converts TableColumnDef to column picker item format
*/
function toColumnPickerItems<T>(
columns: TableColumnDef<T>[],
): ColumnPickerItem[] {
return columns.map((col) => ({
id: col.id,
label: typeof col.header === 'string' ? col.header : col.id,
canBeHidden: col.canBeHidden !== false && col.enableRemove !== false,
visibilityBehavior: col.visibilityBehavior ?? 'always-visible',
}));
}
function K8sFiltersSidePanel<TData>({
open,
onClose,
columns,
storageKey,
}: {
open: boolean;
onClose: () => void;
columns: TableColumnDef<TData>[];
storageKey: string;
}): JSX.Element {
const columnPickerItems = useMemo(
() => toColumnPickerItems(columns),
[columns],
);
const hiddenColumnIds = useHiddenColumnIds(storageKey);
const addedColumns = useMemo(
() =>
columnPickerItems.filter(
(column) =>
!hiddenColumnIds.includes(column.id) &&
column.visibilityBehavior !== 'hidden-on-collapse',
),
[columnPickerItems, hiddenColumnIds],
);
const hiddenColumns = useMemo(
() =>
columnPickerItems.filter((column) => hiddenColumnIds.includes(column.id)),
[columnPickerItems, hiddenColumnIds],
);
const handleRemoveColumn = (columnId: string): void => {
hideColumn(storageKey, columnId);
};
const handleAddColumn = (columnId: string): void => {
showColumn(storageKey, columnId);
};
const drawerContent = (
<>
<div className={styles.columnsTitle}>Added Columns (Click to remove)</div>
<div className={styles.columnsList}>
{addedColumns.map((column) => (
<div className={styles.columnItem} key={column.id}>
<Button
variant="ghost"
color="none"
className={styles.columnItem}
disabled={!column.canBeHidden}
data-testid={`remove-column-${column.id}`}
onClick={(): void => handleRemoveColumn(column.id)}
>
{column.label}
</Button>
</div>
))}
</div>
<div className={styles.horizontalDivider} />
<div className={styles.columnsTitle}>Other Columns (Click to add)</div>
<div className={styles.columnsList}>
{hiddenColumns.map((column) => (
<div className={styles.columnItem} key={column.id}>
<Button
variant="ghost"
color="none"
className={styles.columnItem}
data-can-be-added="true"
data-testid={`add-column-${column.id}`}
onClick={(): void => handleAddColumn(column.id)}
tabIndex={0}
>
{column.label}
</Button>
</div>
))}
</div>
</>
);
return (
<DrawerWrapper
open={open}
onOpenChange={(isOpen): void => {
if (!isOpen) {
onClose();
}
}}
title="Columns"
direction="right"
showCloseButton
showOverlay={false}
className={styles.drawer}
>
{drawerContent}
</DrawerWrapper>
);
}
export default K8sFiltersSidePanel;

View File

@@ -1,17 +0,0 @@
import { getGroupByEl } from './utils';
import { useInfraMonitoringGroupBy } from '../hooks';
interface K8sEntityWithMeta {
meta?: Record<string, string>;
}
function K8sGroupCell<T extends K8sEntityWithMeta>({
row,
}: {
row: T;
}): JSX.Element {
const [groupBy] = useInfraMonitoringGroupBy();
return getGroupByEl(row, groupBy) as JSX.Element;
}
export default K8sGroupCell;

View File

@@ -1,80 +0,0 @@
.k8SListControls {
padding: var(--spacing-4);
display: flex;
justify-content: space-between;
align-items: center;
gap: var(--spacing-4);
:global(.ant-select-selector) {
border-radius: 2px;
border: 1px solid var(--border) !important;
background-color: var(--l2-background) !important;
input {
font-size: 12px;
}
:global([data-slot='badge'] .ant-typography) {
font-size: 12px;
}
}
}
.k8SListControlsLeft {
flex: 1;
display: flex;
align-items: center;
flex-wrap: wrap;
gap: var(--spacing-4);
.k8SQbSearchContainer {
flex: 1;
min-width: 240px;
max-width: 60%;
}
}
.k8SAttributeSearchContainer {
flex: 1;
min-width: 240px;
max-width: 40%;
display: flex;
align-items: center;
}
.groupByLabel {
min-width: max-content;
font-size: var(--periscope-font-size-base, 13px);
font-weight: var(--periscope-font-weight-regular, 400);
line-height: 18px;
letter-spacing: -0.07px;
border-radius: 2px 0px 0px 2px;
border: 1px solid var(--border);
border-right: none;
border-top-right-radius: 0px;
border-bottom-right-radius: 0px;
display: flex;
height: 32px;
padding: var(--spacing-3) var(--spacing-3) var(--spacing-3) var(--spacing-4);
justify-content: center;
align-items: center;
gap: var(--spacing-2);
}
.groupBySelect {
:global(.ant-select-selector) {
border-left: none;
border-top-left-radius: 0px;
border-bottom-left-radius: 0px;
}
}
.k8SListControlsRight {
min-width: 240px;
display: flex;
align-items: center;
gap: var(--spacing-2);
}

View File

@@ -1,232 +0,0 @@
import React, { useCallback, useMemo, useState } from 'react';
import { Button } from '@signozhq/ui/button';
import { Select } from 'antd';
import logEvent from 'api/common/logEvent';
import { TableColumnDef } from 'components/TanStackTableView';
import { InfraMonitoringEvents } from 'constants/events';
import { FeatureKeys } from 'constants/features';
import { initialQueriesMap } from 'constants/queryBuilder';
import QueryBuilderSearch from 'container/QueryBuilder/filters/QueryBuilderSearch';
import DateTimeSelectionV2 from 'container/TopNav/DateTimeSelectionV2';
import { useGetAggregateKeys } from 'hooks/queryBuilder/useGetAggregateKeys';
import { useQueryOperations } from 'hooks/queryBuilder/useQueryBuilderOperations';
import { SlidersHorizontal } from '@signozhq/icons';
import { useAppContext } from 'providers/App/App';
import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
import { DataSource } from 'types/common/queryBuilder';
import {
GetK8sEntityToAggregateAttribute,
InfraMonitoringEntity,
} from '../constants';
import {
useInfraMonitoringFiltersK8s,
useInfraMonitoringGroupBy,
useInfraMonitoringPageListing,
} from '../hooks';
import K8sFiltersSidePanel from './K8sFiltersSidePanel';
import styles from './K8sHeader.module.scss';
interface K8sHeaderProps<TData> {
controlListPrefix?: React.ReactNode;
entity: InfraMonitoringEntity;
showAutoRefresh: boolean;
columns: TableColumnDef<TData>[];
columnStorageKey: string;
}
function K8sHeader<TData>({
controlListPrefix,
entity,
showAutoRefresh,
columns,
columnStorageKey,
}: K8sHeaderProps<TData>): JSX.Element {
const [isFiltersSidePanelOpen, setIsFiltersSidePanelOpen] = useState(false);
const [urlFilters, setUrlFilters] = useInfraMonitoringFiltersK8s();
const currentQuery = initialQueriesMap[DataSource.METRICS];
const updatedCurrentQuery = useMemo(() => {
let { filters } = currentQuery.builder.queryData[0];
if (urlFilters) {
filters = urlFilters;
}
return {
...currentQuery,
builder: {
...currentQuery.builder,
queryData: [
{
...currentQuery.builder.queryData[0],
aggregateOperator: 'noop',
aggregateAttribute: {
...currentQuery.builder.queryData[0].aggregateAttribute,
},
filters,
},
],
},
};
}, [currentQuery, urlFilters]);
const query = useMemo(
() => updatedCurrentQuery?.builder?.queryData[0] || null,
[updatedCurrentQuery],
);
const { handleChangeQueryData } = useQueryOperations({
index: 0,
query: currentQuery.builder.queryData[0],
entityVersion: '',
});
const [, setCurrentPage] = useInfraMonitoringPageListing();
const handleChangeTagFilters = useCallback(
(value: IBuilderQuery['filters']) => {
setUrlFilters(value || null);
handleChangeQueryData('filters', value);
setCurrentPage(1);
if (value?.items && value?.items?.length > 0) {
logEvent(InfraMonitoringEvents.FilterApplied, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.ListPage,
category: InfraMonitoringEvents.Pod,
});
}
},
[handleChangeQueryData, setCurrentPage, setUrlFilters],
);
const { featureFlags } = useAppContext();
const dotMetricsEnabled =
featureFlags?.find((flag) => flag.name === FeatureKeys.DOT_METRICS_ENABLED)
?.active || false;
const { data: groupByFiltersData, isLoading: isLoadingGroupByFilters } =
useGetAggregateKeys(
{
dataSource: currentQuery.builder.queryData[0].dataSource,
aggregateAttribute: GetK8sEntityToAggregateAttribute(
entity,
dotMetricsEnabled,
),
aggregateOperator: 'noop',
searchText: '',
tagType: '',
},
{
queryKey: [currentQuery.builder.queryData[0].dataSource, 'noop'],
},
true,
entity,
);
const groupByOptions = useMemo(
() =>
groupByFiltersData?.payload?.attributeKeys?.map((filter) => ({
value: filter.key,
label: filter.key,
})) || [],
[groupByFiltersData],
);
const [groupBy, setGroupBy] = useInfraMonitoringGroupBy();
const handleGroupByChange = useCallback(
(value: IBuilderQuery['groupBy']) => {
const newGroupBy = [];
for (let index = 0; index < value.length; index++) {
const element = value[index] as unknown as string;
const key = groupByFiltersData?.payload?.attributeKeys?.find(
(k) => k.key === element,
);
if (key) {
newGroupBy.push(key);
}
}
// Reset pagination on switching to groupBy
setCurrentPage(1);
setGroupBy(newGroupBy);
logEvent(InfraMonitoringEvents.GroupByChanged, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.ListPage,
category: InfraMonitoringEvents.Pod,
});
},
[groupByFiltersData, setCurrentPage, setGroupBy],
);
const onClickOutside = useCallback(() => {
setIsFiltersSidePanelOpen(false);
}, []);
return (
<div className={styles.k8SListControls}>
<div className={styles.k8SListControlsLeft}>
{controlListPrefix}
<div className={styles.k8SQbSearchContainer}>
<QueryBuilderSearch
query={query as IBuilderQuery}
onChange={handleChangeTagFilters}
isInfraMonitoring
disableNavigationShortcuts
entity={entity}
/>
</div>
<div className={styles.k8SAttributeSearchContainer}>
<div className={styles.groupByLabel}> Group by </div>
<Select
className={styles.groupBySelect}
loading={isLoadingGroupByFilters}
mode="multiple"
value={groupBy}
allowClear
maxTagCount="responsive"
placeholder="Search for attribute"
style={{ width: '100%' }}
options={groupByOptions}
onChange={handleGroupByChange}
/>
</div>
</div>
<div className={styles.k8SListControlsRight}>
<DateTimeSelectionV2
showAutoRefresh={showAutoRefresh}
showRefreshText={false}
hideShareModal
/>
<Button
type="button"
variant="ghost"
size="icon"
color="none"
data-testid="k8s-list-filters-button"
onClick={(): void => setIsFiltersSidePanelOpen(true)}
>
<SlidersHorizontal size={14} />
</Button>
</div>
<K8sFiltersSidePanel
open={isFiltersSidePanelOpen}
columns={columns}
storageKey={columnStorageKey}
onClose={onClickOutside}
/>
</div>
);
}
export default K8sHeader;

View File

@@ -1,912 +0,0 @@
import React from 'react';
import { QueryClient, QueryClientProvider } from 'react-query';
// eslint-disable-next-line no-restricted-imports
import { Provider } from 'react-redux';
import { MemoryRouter } from 'react-router-dom';
import { MemoryRouter as MemoryRouterV5 } from 'react-router-dom-v5-compat';
import { VirtuosoMockContext } from 'react-virtuoso';
import { TooltipProvider } from '@signozhq/ui/tooltip';
import { fireEvent, render, screen, waitFor } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import { InfraMonitoringEvents } from 'constants/events';
import {
NuqsTestingAdapter,
OnUrlUpdateFunction,
UrlUpdateEvent,
} from 'nuqs/adapters/testing';
import { AppProvider } from 'providers/App/App';
import TimezoneProvider from 'providers/Timezone';
import store from 'store';
import { openInNewTab } from 'utils/navigation';
import { TableColumnDef } from 'components/TanStackTableView';
import { InfraMonitoringEntity } from '../../constants';
import { K8sBaseList, K8sBaseListProps, K8sEntityData } from '../K8sBaseList';
jest.mock('utils/navigation', () => ({
...jest.requireActual('utils/navigation'),
openInNewTab: jest.fn(),
}));
const openInNewTabMock = openInNewTab as jest.Mock;
// Mock Date.now to prevent flaky tests due to time-dependent values
const MOCK_NOW = 1700000000000; // Fixed timestamp
jest.spyOn(Date, 'now').mockReturnValue(MOCK_NOW);
// Mock DrawerWrapper to avoid CSS issues with jsdom
// SyntaxError: 'div#radix-:rbv,,._dialog__content_qf8bf_22 :focus' is not a valid selector
jest.mock('@signozhq/ui/drawer', () => {
const actual = jest.requireActual('@signozhq/ui/drawer');
return {
...actual,
DrawerWrapper: ({
open,
children,
title,
}: {
open: boolean;
children: React.ReactNode;
title: string;
onOpenChange?: (isOpen: boolean) => void;
}): JSX.Element | null =>
open ? (
<div data-testid="drawer-wrapper" data-title={title}>
{children}
</div>
) : null,
};
});
// Test data types that satisfy K8sEntityData constraint
type TestItemWithTitle = {
id: string;
title: string;
meta?: Record<string, string>;
};
type TestItem = { id: string; meta?: Record<string, string> };
type TestItemWithName = {
id: string;
name: string;
desc: string;
meta?: Record<string, string>;
};
type TestItemWithGroup = {
id: string;
name: string;
group: string;
meta?: Record<string, string>;
};
// Helper to create TanStack columns for tests
function createTestColumnsWithTitle(): TableColumnDef<TestItemWithTitle>[] {
return [
{
id: 'id',
header: (): React.ReactNode => 'Id',
accessorFn: (row): string => row.id,
cell: ({ value }): React.ReactNode => <>{value}</>,
enableSort: true,
},
{
id: 'title',
header: (): React.ReactNode => 'Title',
accessorFn: (row): string => row.title,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
];
}
function createTestColumns(): TableColumnDef<TestItem>[] {
return [
{
id: 'id',
header: (): React.ReactNode => 'Id',
accessorFn: (row): string => row.id,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
];
}
function createTestColumnsWithName(): TableColumnDef<TestItemWithName>[] {
return [
{
id: 'id',
header: (): React.ReactNode => 'Id',
accessorFn: (row): string => row.id,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
{
id: 'name',
header: (): React.ReactNode => 'Name',
accessorFn: (row): string => row.name,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
{
id: 'desc',
header: (): React.ReactNode => 'Description',
accessorFn: (row): string => row.desc,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
];
}
function createTestColumnsWithGroup(): TableColumnDef<TestItemWithGroup>[] {
return [
{
id: 'id',
header: (): React.ReactNode => 'Id',
accessorFn: (row): string => row.id,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
{
id: 'name',
header: (): React.ReactNode => 'Name',
accessorFn: (row): string => row.name,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
{
id: 'group',
header: (): React.ReactNode => 'Group',
accessorFn: (row): string => row.group,
cell: ({ value }): React.ReactNode => <>{value}</>,
},
];
}
// eslint-disable-next-line @typescript-eslint/explicit-function-return-type
function renderComponent<T extends K8sEntityData>({
queryParams,
onUrlUpdate,
...props
}: K8sBaseListProps<T> & {
queryParams?: Record<string, string>;
onUrlUpdate?: OnUrlUpdateFunction;
}) {
const queryClient = new QueryClient({
defaultOptions: {
queries: {
retry: false,
},
},
});
return render(
<MemoryRouter>
<MemoryRouterV5>
<TimezoneProvider>
<QueryClientProvider client={queryClient}>
<AppProvider>
<Provider store={store}>
<NuqsTestingAdapter
searchParams={queryParams}
onUrlUpdate={onUrlUpdate}
>
<VirtuosoMockContext.Provider
value={{ viewportHeight: 800, itemHeight: 50 }}
>
<TooltipProvider>
<K8sBaseList {...props} />
</TooltipProvider>
</VirtuosoMockContext.Provider>
</NuqsTestingAdapter>
</Provider>
</AppProvider>
</QueryClientProvider>
</TimezoneProvider>
</MemoryRouterV5>
</MemoryRouter>,
);
}
describe('K8sBaseList', () => {
describe('with items in the list', () => {
const itemId = Math.random().toString(36).slice(7);
const itemId2 = Math.random().toString(36).slice(7);
const onUrlUpdateMock = jest.fn<void, [UrlUpdateEvent]>();
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItemWithTitle>['fetchListData']>,
Parameters<K8sBaseListProps<TestItemWithTitle>['fetchListData']>
>();
beforeEach(() => {
onUrlUpdateMock.mockClear();
fetchListDataMock.mockClear();
openInNewTabMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [
{ id: `PodId:${itemId}`, title: `PodTitle:${itemId}` },
{ id: `PodId:${itemId2}`, title: `PodTitle:${itemId2}` },
],
total: 25,
error: null,
});
renderComponent<TestItemWithTitle>({
onUrlUpdate: onUrlUpdateMock,
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumnsWithTitle(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should render all the items in the list', async () => {
await waitFor(async () => {
await expect(
screen.findByText(`PodId:${itemId}`),
).resolves.toBeInTheDocument();
await expect(
screen.findByText(`PodTitle:${itemId}`),
).resolves.toBeInTheDocument();
await expect(
screen.findByText(`PodId:${itemId2}`),
).resolves.toBeInTheDocument();
await expect(
screen.findByText(`PodTitle:${itemId2}`),
).resolves.toBeInTheDocument();
});
});
it('should call fetchListData with default filters', async () => {
await waitFor(() => {
expect(fetchListDataMock).toHaveBeenCalled();
});
const [filters] = fetchListDataMock.mock.calls[0];
expect(filters.limit).toBe(10);
expect(filters.offset).toBe(0);
expect(filters.filters).toStrictEqual({ items: [], op: 'AND' });
expect(filters.groupBy).toBeUndefined();
expect(filters.orderBy).toBeUndefined();
});
it('should click to open the row details and update selectedItem in URL', async () => {
const user = userEvent.setup();
const firstRowEl = await screen.findByText(`PodId:${itemId}`);
await user.click(firstRowEl);
await waitFor(() => {
const selectedItem = onUrlUpdateMock.mock.calls
.map((call) => call[0].searchParams.get('selectedItem'))
.filter(Boolean)
.pop();
expect(selectedItem).toBe(`PodId:${itemId}`);
});
});
it('should update orderBy in URL when clicking sortable column header', async () => {
const user = userEvent.setup();
await waitFor(() => {
expect(screen.getByText(`PodId:${itemId}`)).toBeInTheDocument();
});
// TanStackTable renders a sort button with title attribute
const sortButton = screen.getByTitle('Id');
await user.click(sortButton);
await waitFor(() => {
const lastOrderBy = onUrlUpdateMock.mock.calls
.map((call) => call[0].searchParams.get('orderBy'))
.filter(Boolean)
.pop();
expect(lastOrderBy).toBeDefined();
const parsed = JSON.parse(lastOrderBy as string);
expect(parsed.columnName).toBe('id');
expect(parsed.order).toBe('asc');
});
});
it('should toggle sort order in URL on subsequent header clicks', async () => {
await waitFor(() => {
expect(screen.getByText(`PodId:${itemId}`)).toBeInTheDocument();
});
// Track orderBy calls
const getOrderByCalls = (): string[] =>
onUrlUpdateMock.mock.calls
.map((call) => call[0].searchParams.get('orderBy'))
.filter(Boolean) as string[];
// First click - should set ascending
const sortButton = screen.getByTitle('Id');
expect(sortButton).toHaveAttribute('data-sort', 'none');
fireEvent.click(sortButton);
// Wait for URL to show ascending
await waitFor(() => {
const calls = getOrderByCalls();
expect(calls.length).toBeGreaterThan(0);
const parsed = JSON.parse(calls[calls.length - 1]);
expect(parsed.order).toBe('asc');
});
// Wait for button to have ascending state
await waitFor(() => {
expect(screen.getByTitle('Id')).toHaveAttribute('data-sort', 'ascending');
});
const callsAfterFirstClick = getOrderByCalls().length;
// Verify only one button exists with title 'Id'
const allIdButtons = screen.getAllByTitle('Id');
expect(allIdButtons).toHaveLength(1);
// Second click - should set descending
const ascendingButton = screen.getByTitle('Id');
expect(ascendingButton).toHaveAttribute('data-sort', 'ascending');
fireEvent.click(ascendingButton);
// Wait for URL to show descending (must be a new call)
await waitFor(() => {
const calls = getOrderByCalls();
expect(calls.length).toBeGreaterThan(callsAfterFirstClick);
const parsed = JSON.parse(calls[calls.length - 1]);
expect(parsed.order).toBe('desc');
});
// Verify DOM updated
await waitFor(() => {
expect(screen.getByTitle('Id')).toHaveAttribute('data-sort', 'descending');
});
});
it('should update page in URL when clicking pagination', async () => {
const user = userEvent.setup();
await waitFor(() => {
expect(screen.getByText(`PodId:${itemId}`)).toBeInTheDocument();
});
// Find pagination navigation and page 2 button
const nav = screen.getByRole('navigation');
const page2Button = Array.from(nav.querySelectorAll('button')).find(
(btn) => btn.textContent?.trim() === '2',
);
if (!page2Button) {
throw new Error('Page 2 button not found in pagination');
}
await user.click(page2Button);
await waitFor(() => {
const lastPage = onUrlUpdateMock.mock.calls
.map((call) => call[0].searchParams.get('page'))
.filter(Boolean)
.pop();
expect(lastPage).toBe('2');
});
});
it('should open row in new tab when ctrl+click on row', async () => {
await waitFor(() => {
expect(screen.getByText(`PodId:${itemId}`)).toBeInTheDocument();
});
const firstRow = screen.getByText(`PodId:${itemId}`);
// Ctrl+click to open in new tab
fireEvent.click(firstRow, { ctrlKey: true });
await waitFor(() => {
expect(openInNewTabMock).toHaveBeenCalledTimes(1);
expect(openInNewTabMock).toHaveBeenCalledWith(
expect.stringContaining(`selectedItem=PodId%3A${itemId}`),
);
});
});
it('should open row in new tab when meta+click (cmd on Mac) on row', async () => {
await waitFor(() => {
expect(screen.getByText(`PodId:${itemId}`)).toBeInTheDocument();
});
const firstRow = screen.getByText(`PodId:${itemId}`);
// Meta+click (cmd on Mac) to open in new tab
fireEvent.click(firstRow, { metaKey: true });
await waitFor(() => {
expect(openInNewTabMock).toHaveBeenCalledTimes(1);
expect(openInNewTabMock).toHaveBeenCalledWith(
expect.stringContaining(`selectedItem=PodId%3A${itemId}`),
);
});
});
});
describe('with URL params (orderBy, groupBy, pagination)', () => {
const onUrlUpdateMock = jest.fn<void, [UrlUpdateEvent]>();
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
const groupByValue = [
{ key: 'k8s.namespace.name', dataType: 'string', type: 'resource' },
];
beforeEach(() => {
onUrlUpdateMock.mockClear();
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [
{ id: 'namespace-default', meta: { 'k8s.namespace.name': 'default' } },
],
total: 50,
error: null,
});
renderComponent<TestItem>({
onUrlUpdate: onUrlUpdateMock,
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
queryParams: {
orderBy: JSON.stringify({ columnName: 'cpu', order: 'desc' }),
groupBy: JSON.stringify(groupByValue),
page: '3',
},
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should call fetchListData with orderBy/groupBy/offset/limit from URL', async () => {
await waitFor(() => {
expect(fetchListDataMock).toHaveBeenCalled();
});
const [filters] = fetchListDataMock.mock.calls[0];
expect(filters.orderBy).toStrictEqual({ columnName: 'cpu', order: 'desc' });
expect(filters.groupBy).toStrictEqual(groupByValue);
expect(filters.offset).toBe(20); // (3 - 1) * 10 = 20
expect(filters.limit).toBe(10);
});
it('should render expand icons when groupBy is set', async () => {
await waitFor(() => {
expect(screen.getByText('namespace-default')).toBeInTheDocument();
});
const expandButtons = screen.getAllByRole('button');
expect(expandButtons.length).toBeGreaterThan(0);
});
it('should render data with groupBy params', async () => {
await waitFor(() => {
expect(screen.getByText('namespace-default')).toBeInTheDocument();
});
// Verify the call was made with correct groupBy
const callWithGroupBy = fetchListDataMock.mock.calls.find(
(c) => c[0].groupBy && c[0].groupBy.length > 0,
);
expect(callWithGroupBy).toBeDefined();
expect(callWithGroupBy?.[0].groupBy).toStrictEqual(groupByValue);
});
});
describe('with empty data', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [],
total: 0,
error: null,
rawData: {
sentAnyHostMetricsData: true,
isSendingK8SAgentMetrics: false,
},
});
renderComponent<TestItem>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should display empty state when no data is returned', async () => {
await waitFor(() => {
expect(screen.getByText(/This query had no results/i)).toBeInTheDocument();
});
});
it('should still call fetchListData', async () => {
await waitFor(() => {
expect(fetchListDataMock).toHaveBeenCalled();
});
});
});
describe('with error response', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [],
total: 0,
error: 'Failed to fetch pods',
});
renderComponent<TestItem>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should call fetchListData even when error occurs', async () => {
await waitFor(() => {
expect(fetchListDataMock).toHaveBeenCalled();
});
});
it('should display error message when data.error is set', async () => {
await waitFor(() => {
expect(screen.getByText(/Failed to fetch pods/i)).toBeInTheDocument();
});
});
});
describe('with no metrics data (sentAnyHostMetricsData=false)', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [],
total: 0,
error: null,
rawData: {
sentAnyHostMetricsData: false,
isSendingK8SAgentMetrics: false,
},
});
renderComponent<TestItem>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should display no metrics data message', async () => {
await waitFor(() => {
expect(
screen.getByText(/No host metrics data received yet/i),
).toBeInTheDocument();
});
});
it('should display link to documentation', async () => {
await waitFor(() => {
const link = screen.getByRole('link', { name: /our documentation/i });
expect(link).toBeInTheDocument();
expect(link).toHaveAttribute(
'href',
'https://signoz.io/docs/infrastructure-monitoring/hostmetrics/',
);
});
});
});
describe('with incorrect K8s agent metrics (isSendingK8SAgentMetrics=true)', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [],
total: 0,
error: null,
rawData: {
sentAnyHostMetricsData: true,
isSendingK8SAgentMetrics: true,
},
});
renderComponent<TestItem>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should display upgrade message', async () => {
await waitFor(() => {
expect(
screen.getByText(/upgrade to the latest version of SigNoz k8s-infra/i),
).toBeInTheDocument();
});
});
});
describe('with end time before retention (endTimeBeforeRetention=true)', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [],
total: 0,
error: null,
rawData: {
sentAnyHostMetricsData: true,
isSendingK8SAgentMetrics: false,
endTimeBeforeRetention: true,
},
});
renderComponent<TestItem>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should display time range before retention message', async () => {
await waitFor(() => {
expect(
screen.getByText(/Queried time range is before earliest K8s metrics/i),
).toBeInTheDocument();
expect(
screen.getByText(/please adjust your end time/i),
).toBeInTheDocument();
});
});
});
describe('column visibility based on TanStack columns', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItemWithName>['fetchListData']>,
Parameters<K8sBaseListProps<TestItemWithName>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [{ id: 'item-1', name: 'Item 1', desc: 'Description 1' }],
total: 1,
error: null,
});
});
it('should show all columns defined in tableColumns', async () => {
renderComponent<TestItemWithName>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumnsWithName(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
await waitFor(() => {
expect(screen.getByText('item-1')).toBeInTheDocument();
});
// All columns should be visible
expect(
screen.getByRole('columnheader', { name: /id/i }),
).toBeInTheDocument();
expect(
screen.getByRole('columnheader', { name: /name/i }),
).toBeInTheDocument();
});
});
describe('column behavior with groupBy (expanded/collapsed)', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItemWithGroup>['fetchListData']>,
Parameters<K8sBaseListProps<TestItemWithGroup>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [
{
id: 'item-1',
name: 'Item 1',
group: 'Group A',
meta: { 'k8s.namespace.name': 'default' },
},
],
total: 1,
error: null,
});
});
it('should show columns when NOT grouped', async () => {
renderComponent<TestItemWithGroup>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
queryParams: {},
tableColumns: createTestColumnsWithGroup(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
await waitFor(() => {
expect(screen.getByText('item-1')).toBeInTheDocument();
});
// Columns should be visible
expect(
screen.getByRole('columnheader', { name: /id/i }),
).toBeInTheDocument();
});
it('should show columns when grouped', async () => {
const groupByValue = [
{ key: 'k8s.namespace.name', dataType: 'string', type: 'resource' },
];
renderComponent<TestItemWithGroup>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
queryParams: {
groupBy: JSON.stringify(groupByValue),
},
tableColumns: createTestColumnsWithGroup(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
await waitFor(() => {
expect(screen.getByText('item-1')).toBeInTheDocument();
});
// Id should be visible
expect(
screen.getByRole('columnheader', { name: /id/i }),
).toBeInTheDocument();
});
});
describe('column visibility in expanded row (nested table)', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItem>['fetchListData']>,
Parameters<K8sBaseListProps<TestItem>['fetchListData']>
>();
const groupByValue = [
{ key: 'k8s.namespace.name', dataType: 'string', type: 'resource' },
];
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [
{ id: 'namespace-default', meta: { 'k8s.namespace.name': 'default' } },
],
total: 50,
error: null,
});
renderComponent<TestItem>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
queryParams: {
groupBy: JSON.stringify(groupByValue),
},
tableColumns: createTestColumns(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
});
it('should render table with groupBy params and enable expansion', async () => {
await waitFor(() => {
expect(screen.getByText('namespace-default')).toBeInTheDocument();
});
// Verify fetch was called with groupBy
const callWithGroupBy = fetchListDataMock.mock.calls.find(
(c) => c[0].groupBy && c[0].groupBy.length > 0,
);
expect(callWithGroupBy).toBeDefined();
});
});
describe('TanStack table column rendering', () => {
const fetchListDataMock = jest.fn<
ReturnType<K8sBaseListProps<TestItemWithName>['fetchListData']>,
Parameters<K8sBaseListProps<TestItemWithName>['fetchListData']>
>();
beforeEach(() => {
fetchListDataMock.mockClear();
fetchListDataMock.mockResolvedValue({
data: [
{ id: 'item-1', name: 'Item 1', desc: 'Description 1' },
{ id: 'item-2', name: 'Item 2', desc: 'Description 2' },
],
total: 2,
error: null,
});
});
it('should render all defined columns', async () => {
renderComponent<TestItemWithName>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumnsWithName(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
await waitFor(() => {
expect(screen.getByText('item-1')).toBeInTheDocument();
});
// All columns should be visible
expect(
screen.getByRole('columnheader', { name: /id/i }),
).toBeInTheDocument();
expect(
screen.getByRole('columnheader', { name: /^name$/i }),
).toBeInTheDocument();
});
it('should render data in cells correctly', async () => {
renderComponent<TestItemWithName>({
entity: InfraMonitoringEntity.PODS,
eventCategory: InfraMonitoringEvents.Pod,
fetchListData: fetchListDataMock,
tableColumns: createTestColumnsWithName(),
getRowKey: (row): string => row.id,
getItemKey: (row): string => row.id,
});
await waitFor(() => {
expect(screen.getByText('item-1')).toBeInTheDocument();
expect(screen.getByText('Item 1')).toBeInTheDocument();
expect(screen.getByText('item-2')).toBeInTheDocument();
expect(screen.getByText('Item 2')).toBeInTheDocument();
});
});
});
});

View File

@@ -1,26 +0,0 @@
import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
import { OrderBySchemaType } from '../schemas';
export type K8sBaseFilters = {
filters: TagFilter;
groupBy?: BaseAutocompleteData[];
offset?: number;
limit?: number;
start: number;
end: number;
orderBy?: OrderBySchemaType;
};
/**
* Type for table row data with required key fields.
* Used when rendering raw data in the table.
*/
export type K8sTableRowData<T> = T & {
key: string;
id: string;
itemKey: string;
/** Metadata about which attributes were used for grouping */
groupedByMeta?: Record<string, string>;
};

View File

@@ -1,114 +0,0 @@
import { create } from 'zustand';
import { persist } from 'zustand/middleware';
export interface IEntityColumn {
label: string;
value: string;
id: string;
defaultVisibility: boolean;
canBeHidden: boolean;
behavior: 'hidden-on-expand' | 'hidden-on-collapse' | 'always-visible';
}
export interface IInfraMonitoringTableColumnsStore {
columns: Record<string, IEntityColumn[]>;
columnsHidden: Record<string, string[]>;
addColumn: (page: string, columnId: string) => void;
removeColumn: (page: string, columnId: string) => void;
initializePageColumns: (page: string, columns: IEntityColumn[]) => void;
}
export const useInfraMonitoringTableColumnsStore =
create<IInfraMonitoringTableColumnsStore>()(
persist(
(set, get) => ({
columns: {},
columnsHidden: {},
addColumn: (page, columnId): void => {
const state = get();
const columnDefinition = state.columns[page]?.find(
(c) => c.id === columnId,
);
if (!columnDefinition) {
return;
}
if (!columnDefinition.canBeHidden) {
return;
}
const columnsHidden = state.columnsHidden[page];
if (columnsHidden.includes(columnId)) {
set({
columnsHidden: {
...state.columnsHidden,
[page]: columnsHidden.filter((id) => id !== columnId),
},
});
}
},
removeColumn: (page, columnId): void => {
const state = get();
const columnDefinition = state.columns[page]?.find(
(c) => c.id === columnId,
);
if (!columnDefinition) {
return;
}
if (!columnDefinition.canBeHidden) {
return;
}
const columnsHidden = state.columnsHidden[page];
if (!columnsHidden.includes(columnId)) {
set({
columnsHidden: {
...state.columnsHidden,
[page]: [...columnsHidden, columnId],
},
});
}
},
initializePageColumns: (page, columns): void => {
const state = get();
set({
columns: {
...state.columns,
[page]: columns,
},
});
if (state.columnsHidden[page] === undefined) {
set({
columnsHidden: {
...state.columnsHidden,
[page]: columns
.filter((c) => c.defaultVisibility === false)
.map((c) => c.id),
},
});
}
},
}),
{
name: '@signoz/infra-monitoring-columns',
},
),
);
export const useInfraMonitoringTableColumnsForPage = (
page: string,
): [columns: IEntityColumn[], columnsHidden: string[]] => {
const state = useInfraMonitoringTableColumnsStore((s) => s.columns);
const columnsHidden = useInfraMonitoringTableColumnsStore(
(s) => s.columnsHidden,
);
return [state[page] ?? [], columnsHidden[page] ?? []];
};

View File

@@ -1,18 +0,0 @@
.itemDataGroup {
display: flex;
align-items: center;
gap: 4px;
flex-wrap: wrap;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.itemDataGroupTagItem {
display: block !important;
max-width: 100%;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}

View File

@@ -1,100 +0,0 @@
import { Badge } from '@signozhq/ui/badge';
import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
import styles from './utils.module.scss';
const dotToUnder: Record<string, string> = {
'os.type': 'os_type',
'host.name': 'host_name',
'deployment.environment': 'deployment_environment',
'k8s.node.name': 'k8s_node_name',
'k8s.cluster.name': 'k8s_cluster_name',
'k8s.node.uid': 'k8s_node_uid',
'k8s.cronjob.name': 'k8s_cronjob_name',
'k8s.daemonset.name': 'k8s_daemonset_name',
'k8s.deployment.name': 'k8s_deployment_name',
'k8s.job.name': 'k8s_job_name',
'k8s.namespace.name': 'k8s_namespace_name',
'k8s.pod.name': 'k8s_pod_name',
'k8s.pod.uid': 'k8s_pod_uid',
'k8s.statefulset.name': 'k8s_statefulset_name',
'k8s.persistentvolumeclaim.name': 'k8s_persistentvolumeclaim_name',
};
export function getGroupedByMeta<T extends { meta?: Record<string, string> }>(
itemData: T,
groupBy: BaseAutocompleteData[],
): Record<string, string> {
const result: Record<string, string> = {};
const meta = itemData.meta ?? {};
groupBy.forEach((group) => {
const rawKey = group.key as string;
const metaKey = (dotToUnder[rawKey] ?? rawKey) as keyof typeof meta;
result[rawKey] = (meta[metaKey] || meta[rawKey]) ?? '';
});
return result;
}
export function getRowKey<T extends { meta?: Record<string, string> }>(
itemData: T,
getItemIdentifier: () => string,
groupBy: BaseAutocompleteData[],
): string {
const nodeIdentifier = getItemIdentifier();
const meta = itemData.meta ?? {};
if (groupBy.length === 0) {
return nodeIdentifier || JSON.stringify(meta);
}
const groupedMeta = getGroupedByMeta(itemData, groupBy);
const groupKey = Object.values(groupedMeta).join('-');
if (groupKey && nodeIdentifier) {
return `${groupKey}-${nodeIdentifier}`;
}
if (groupKey) {
return groupKey;
}
if (nodeIdentifier) {
return nodeIdentifier;
}
return JSON.stringify(meta);
}
export function getGroupByEl<T extends { meta?: Record<string, string> }>(
itemData: T,
groupBy: IBuilderQuery['groupBy'],
): React.ReactNode {
const groupByValues: string[] = [];
const meta = itemData.meta ?? {};
groupBy.forEach((group) => {
const rawKey = group.key as string;
// Choose mapped key if present, otherwise use rawKey
const metaKey = (dotToUnder[rawKey] ?? rawKey) as keyof typeof meta;
const value = meta[metaKey] || meta[rawKey] || '<no-value>';
groupByValues.push(value);
});
return (
<div className={styles.itemDataGroup}>
{groupByValues.map((value, index) => (
<Badge
// oxlint-disable-next-line react/no-array-index-key
key={`${index}-${value}`}
color="secondary"
className={styles.itemDataGroupTagItem}
>
{value === '' ? '<no-value>' : value}
</Badge>
))}
</div>
);
}

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@@ -1,117 +0,0 @@
import React, { useCallback } from 'react';
import { InfraMonitoringEvents } from 'constants/events';
import { FeatureKeys } from 'constants/features';
import { useAppContext } from 'providers/App/App';
import K8sBaseDetails, { K8sDetailsFilters } from '../Base/K8sBaseDetails';
import { K8sBaseList } from '../Base/K8sBaseList';
import { K8sBaseFilters } from '../Base/types';
import { InfraMonitoringEntity } from '../constants';
import { getK8sClustersList, K8sClusterData } from './api';
import {
clusterWidgetInfo,
getClusterMetricsQueryPayload,
k8sClusterDetailsMetadataConfig,
k8sClusterGetEntityName,
k8sClusterGetSelectedItemFilters,
k8sClusterInitialEventsFilter,
k8sClusterInitialLogTracesFilter,
} from './constants';
import {
getK8sClusterItemKey,
getK8sClusterRowKey,
k8sClustersColumnsConfig,
} from './table.config';
function K8sClustersList({
controlListPrefix,
}: {
controlListPrefix?: React.ReactNode;
}): JSX.Element {
const { featureFlags } = useAppContext();
const dotMetricsEnabled =
featureFlags?.find((flag) => flag.name === FeatureKeys.DOT_METRICS_ENABLED)
?.active || false;
const fetchListData = useCallback(
async (filters: K8sBaseFilters, signal?: AbortSignal) => {
filters.orderBy ||= {
columnName: 'cpu',
order: 'desc',
};
const response = await getK8sClustersList(
filters,
signal,
undefined,
dotMetricsEnabled,
);
return {
data: response.payload?.data.records || [],
total: response.payload?.data.total || 0,
error: response.error,
rawData: response.payload?.data,
};
},
[dotMetricsEnabled],
);
const fetchEntityData = useCallback(
async (
filters: K8sDetailsFilters,
signal?: AbortSignal,
): Promise<{ data: K8sClusterData | null; error?: string | null }> => {
const response = await getK8sClustersList(
{
filters: filters.filters,
start: filters.start,
end: filters.end,
limit: 1,
offset: 0,
},
signal,
undefined,
dotMetricsEnabled,
);
const records = response.payload?.data.records || [];
return {
data: records.length > 0 ? records[0] : null,
error: response.error,
};
},
[dotMetricsEnabled],
);
return (
<>
<K8sBaseList<K8sClusterData>
controlListPrefix={controlListPrefix}
entity={InfraMonitoringEntity.CLUSTERS}
tableColumns={k8sClustersColumnsConfig}
fetchListData={fetchListData}
getRowKey={getK8sClusterRowKey}
getItemKey={getK8sClusterItemKey}
eventCategory={InfraMonitoringEvents.Cluster}
/>
<K8sBaseDetails<K8sClusterData>
category={InfraMonitoringEntity.CLUSTERS}
eventCategory={InfraMonitoringEvents.Cluster}
getSelectedItemFilters={k8sClusterGetSelectedItemFilters}
fetchEntityData={fetchEntityData}
getEntityName={k8sClusterGetEntityName}
getInitialLogTracesFilters={k8sClusterInitialLogTracesFilter}
getInitialEventsFilters={k8sClusterInitialEventsFilter}
metadataConfig={k8sClusterDetailsMetadataConfig}
entityWidgetInfo={clusterWidgetInfo}
getEntityQueryPayload={getClusterMetricsQueryPayload}
queryKeyPrefix="cluster"
/>
</>
);
}
export default K8sClustersList;

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@@ -1,125 +0,0 @@
import axios from 'api';
import { ErrorResponseHandler } from 'api/ErrorResponseHandler';
import { UnderscoreToDotMap } from 'api/utils';
import { AxiosError } from 'axios';
import { ErrorResponse, SuccessResponse } from 'types/api';
import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
import { K8sBaseFilters } from '../Base/types';
export interface K8sClustersListPayload {
filters: TagFilter;
groupBy?: BaseAutocompleteData[];
offset?: number;
limit?: number;
orderBy?: {
columnName: string;
order: 'asc' | 'desc';
};
}
export interface K8sClusterData {
clusterUID: string;
cpuUsage: number;
cpuAllocatable: number;
memoryUsage: number;
memoryAllocatable: number;
meta: {
k8s_cluster_name: string;
k8s_cluster_uid: string;
};
}
export interface K8sClustersListResponse {
status: string;
data: {
type: string;
records: K8sClusterData[];
groups: null;
total: number;
sentAnyHostMetricsData: boolean;
isSendingK8SAgentMetrics: boolean;
};
}
// TODO(H4ad): Erase this whole file when migrating to openapi
export const clustersMetaMap = [
{ dot: 'k8s.cluster.name', under: 'k8s_cluster_name' },
{ dot: 'k8s.cluster.uid', under: 'k8s_cluster_uid' },
] as const;
export function mapClustersMeta(
raw: Record<string, unknown>,
): K8sClusterData['meta'] {
const out: Record<string, unknown> = { ...raw };
clustersMetaMap.forEach(({ dot, under }) => {
if (dot in raw) {
const v = raw[dot];
out[under] = typeof v === 'string' ? v : raw[under];
}
});
return out as K8sClusterData['meta'];
}
export const getK8sClustersList = async (
props: K8sBaseFilters,
signal?: AbortSignal,
headers?: Record<string, string>,
dotMetricsEnabled = false,
): Promise<SuccessResponse<K8sClustersListResponse> | ErrorResponse> => {
try {
const requestProps = dotMetricsEnabled
? {
...props,
filters: {
...props.filters,
items: props.filters.items.reduce<typeof props.filters.items>(
(acc, item) => {
if (item.value === undefined) {
return acc;
}
if (
item.key &&
typeof item.key === 'object' &&
'key' in item.key &&
typeof item.key.key === 'string'
) {
const mappedKey = UnderscoreToDotMap[item.key.key] ?? item.key.key;
acc.push({
...item,
key: { ...item.key, key: mappedKey },
});
} else {
acc.push(item);
}
return acc;
},
[] as typeof props.filters.items,
),
},
}
: props;
const response = await axios.post('/clusters/list', requestProps, {
signal,
headers,
});
const payload: K8sClustersListResponse = response.data;
payload.data.records = payload.data.records.map((record) => ({
...record,
meta: mapClustersMeta(record.meta as Record<string, unknown>),
}));
return {
statusCode: 200,
error: null,
message: 'Success',
payload,
params: requestProps,
};
} catch (error) {
return ErrorResponseHandler(error as AxiosError);
}
};

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@@ -1,156 +0,0 @@
import { Tooltip } from 'antd';
import { TableColumnDef } from 'components/TanStackTableView';
import TanStackTable from 'components/TanStackTableView';
import { ExpandButtonWrapper } from 'container/InfraMonitoringK8s/components';
import EntityGroupHeader from '../Base/EntityGroupHeader';
import K8sGroupCell from '../Base/K8sGroupCell';
import { formatBytes } from '../commonUtils';
import { ValidateColumnValueWrapper } from '../components';
import { InfraMonitoringEntity } from '../constants';
import { K8sClusterData, K8sClustersListPayload } from './api';
import { Boxes } from '@signozhq/icons';
export function getK8sClusterRowKey(cluster: K8sClusterData): string {
return (
cluster.clusterUID ||
cluster.meta.k8s_cluster_uid ||
cluster.meta.k8s_cluster_name
);
}
export function getK8sClusterItemKey(cluster: K8sClusterData): string {
return cluster.meta.k8s_cluster_name;
}
export const getK8sClustersListQuery = (): K8sClustersListPayload => ({
filters: {
items: [],
op: 'and',
},
orderBy: { columnName: 'cpu', order: 'desc' },
});
export const k8sClustersColumnsConfig: TableColumnDef<K8sClusterData>[] = [
{
id: 'clusterGroup',
header: (): React.ReactNode => <EntityGroupHeader title="CLUSTER GROUP" />,
accessorFn: (row): string => row.meta.k8s_cluster_name || '',
width: { min: 300 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-collapse',
cell: ({ isExpanded, toggleExpanded, row }): JSX.Element | null => {
return (
<ExpandButtonWrapper
isExpanded={isExpanded}
toggleExpanded={toggleExpanded}
>
<K8sGroupCell row={row} />
</ExpandButtonWrapper>
);
},
},
{
id: 'clusterName',
header: (): React.ReactNode => (
<EntityGroupHeader
title="Cluster Name"
icon={<Boxes data-hide-expanded="true" size={14} />}
/>
),
accessorFn: (row): string => row.meta.k8s_cluster_name || '',
width: { min: 290 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-expand',
cell: ({ value }): React.ReactNode => {
const clusterName = value as string;
return (
<Tooltip title={clusterName}>
<TanStackTable.Text>{clusterName}</TanStackTable.Text>
</Tooltip>
);
},
},
{
id: 'cpu',
header: 'CPU Usage (cores)',
accessorFn: (row): number => row.cpuUsage,
width: { min: 220 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const cpu = value as number;
return (
<ValidateColumnValueWrapper
value={cpu}
entity={InfraMonitoringEntity.CLUSTERS}
attribute="CPU metric"
>
<TanStackTable.Text>{cpu}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu_allocatable',
header: 'CPU Alloc (cores)',
accessorFn: (row): number => row.cpuAllocatable,
width: { min: 220 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const cpuAllocatable = value as number;
return (
<ValidateColumnValueWrapper
value={cpuAllocatable}
entity={InfraMonitoringEntity.CLUSTERS}
attribute="CPU allocatable metric"
>
<TanStackTable.Text>{cpuAllocatable}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory',
header: 'Memory Usage (WSS)',
accessorFn: (row): number => row.memoryUsage,
width: { min: 220 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const memory = value as number;
return (
<ValidateColumnValueWrapper
value={memory}
entity={InfraMonitoringEntity.CLUSTERS}
attribute="memory metric"
>
<TanStackTable.Text>{formatBytes(memory)}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory_allocatable',
header: 'Memory Allocatable',
accessorFn: (row): number => row.memoryAllocatable,
width: { min: 220 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const memoryAllocatable = value as number;
return (
<ValidateColumnValueWrapper
value={memoryAllocatable}
entity={InfraMonitoringEntity.CLUSTERS}
attribute="memory allocatable metric"
>
<TanStackTable.Text>{formatBytes(memoryAllocatable)}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
];

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@@ -1,117 +0,0 @@
import React, { useCallback } from 'react';
import { InfraMonitoringEvents } from 'constants/events';
import { FeatureKeys } from 'constants/features';
import { useAppContext } from 'providers/App/App';
import K8sBaseDetails, { K8sDetailsFilters } from '../Base/K8sBaseDetails';
import { K8sBaseList } from '../Base/K8sBaseList';
import { K8sBaseFilters } from '../Base/types';
import { InfraMonitoringEntity } from '../constants';
import { getK8sDaemonSetsList, K8sDaemonSetsData } from './api';
import {
daemonSetWidgetInfo,
getDaemonSetMetricsQueryPayload,
k8sDaemonSetDetailsMetadataConfig,
k8sDaemonSetGetEntityName,
k8sDaemonSetGetSelectedItemFilters,
k8sDaemonSetInitialEventsFilter,
k8sDaemonSetInitialLogTracesFilter,
} from './constants';
import {
getK8sDaemonSetItemKey,
getK8sDaemonSetRowKey,
k8sDaemonSetsColumnsConfig,
} from './table.config';
function K8sDaemonSetsList({
controlListPrefix,
}: {
controlListPrefix?: React.ReactNode;
}): JSX.Element {
const { featureFlags } = useAppContext();
const dotMetricsEnabled =
featureFlags?.find((flag) => flag.name === FeatureKeys.DOT_METRICS_ENABLED)
?.active || false;
const fetchListData = useCallback(
async (filters: K8sBaseFilters, signal?: AbortSignal) => {
filters.orderBy ||= {
columnName: 'cpu',
order: 'desc',
};
const response = await getK8sDaemonSetsList(
filters,
signal,
undefined,
dotMetricsEnabled,
);
return {
data: response.payload?.data.records || [],
total: response.payload?.data.total || 0,
error: response.error,
rawData: response.payload?.data,
};
},
[dotMetricsEnabled],
);
const fetchEntityData = useCallback(
async (
filters: K8sDetailsFilters,
signal?: AbortSignal,
): Promise<{ data: K8sDaemonSetsData | null; error?: string | null }> => {
const response = await getK8sDaemonSetsList(
{
filters: filters.filters,
start: filters.start,
end: filters.end,
limit: 1,
offset: 0,
},
signal,
undefined,
dotMetricsEnabled,
);
const records = response.payload?.data.records || [];
return {
data: records.length > 0 ? records[0] : null,
error: response.error,
};
},
[dotMetricsEnabled],
);
return (
<>
<K8sBaseList<K8sDaemonSetsData>
controlListPrefix={controlListPrefix}
entity={InfraMonitoringEntity.DAEMONSETS}
tableColumns={k8sDaemonSetsColumnsConfig}
fetchListData={fetchListData}
getRowKey={getK8sDaemonSetRowKey}
getItemKey={getK8sDaemonSetItemKey}
eventCategory={InfraMonitoringEvents.DaemonSet}
/>
<K8sBaseDetails<K8sDaemonSetsData>
category={InfraMonitoringEntity.DAEMONSETS}
eventCategory={InfraMonitoringEvents.DaemonSet}
getSelectedItemFilters={k8sDaemonSetGetSelectedItemFilters}
fetchEntityData={fetchEntityData}
getEntityName={k8sDaemonSetGetEntityName}
getInitialLogTracesFilters={k8sDaemonSetInitialLogTracesFilter}
getInitialEventsFilters={k8sDaemonSetInitialEventsFilter}
metadataConfig={k8sDaemonSetDetailsMetadataConfig}
entityWidgetInfo={daemonSetWidgetInfo}
getEntityQueryPayload={getDaemonSetMetricsQueryPayload}
queryKeyPrefix="daemonset"
/>
</>
);
}
export default K8sDaemonSetsList;

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@@ -1,119 +0,0 @@
import axios from 'api';
import { ErrorResponseHandler } from 'api/ErrorResponseHandler';
import { UnderscoreToDotMap } from 'api/utils';
import { AxiosError } from 'axios';
import { ErrorResponse, SuccessResponse } from 'types/api';
import { K8sBaseFilters } from '../Base/types';
export interface K8sDaemonSetsData {
daemonSetName: string;
cpuUsage: number;
memoryUsage: number;
cpuRequest: number;
memoryRequest: number;
cpuLimit: number;
memoryLimit: number;
restarts: number;
desiredNodes: number;
availableNodes: number;
meta: {
k8s_cluster_name: string;
k8s_daemonset_name: string;
k8s_namespace_name: string;
};
}
export interface K8sDaemonSetsListResponse {
status: string;
data: {
type: string;
records: K8sDaemonSetsData[];
groups: null;
total: number;
sentAnyHostMetricsData: boolean;
isSendingK8SAgentMetrics: boolean;
};
}
// TODO(H4ad): Erase this whole file when migrating to openapi
export const daemonSetsMetaMap = [
{ dot: 'k8s.namespace.name', under: 'k8s_namespace_name' },
{ dot: 'k8s.daemonset.name', under: 'k8s_daemonset_name' },
{ dot: 'k8s.cluster.name', under: 'k8s_cluster_name' },
] as const;
export function mapDaemonSetsMeta(
raw: Record<string, unknown>,
): K8sDaemonSetsData['meta'] {
const out: Record<string, unknown> = { ...raw };
daemonSetsMetaMap.forEach(({ dot, under }) => {
if (dot in raw) {
const v = raw[dot];
out[under] = typeof v === 'string' ? v : raw[under];
}
});
return out as K8sDaemonSetsData['meta'];
}
export const getK8sDaemonSetsList = async (
props: K8sBaseFilters,
signal?: AbortSignal,
headers?: Record<string, string>,
dotMetricsEnabled = false,
): Promise<SuccessResponse<K8sDaemonSetsListResponse> | ErrorResponse> => {
try {
const requestProps = dotMetricsEnabled
? {
...props,
filters: {
...props.filters,
items: props.filters.items.reduce<typeof props.filters.items>(
(acc, item) => {
if (item.value === undefined) {
return acc;
}
if (
item.key &&
typeof item.key === 'object' &&
'key' in item.key &&
typeof item.key.key === 'string'
) {
const mappedKey = UnderscoreToDotMap[item.key.key] ?? item.key.key;
acc.push({
...item,
key: { ...item.key, key: mappedKey },
});
} else {
acc.push(item);
}
return acc;
},
[] as typeof props.filters.items,
),
},
}
: props;
const response = await axios.post('/daemonsets/list', requestProps, {
signal,
headers,
});
const payload: K8sDaemonSetsListResponse = response.data;
payload.data.records = payload.data.records.map((record) => ({
...record,
meta: mapDaemonSetsMeta(record.meta as Record<string, unknown>),
}));
return {
statusCode: 200,
error: null,
message: 'Success',
payload,
params: requestProps,
};
} catch (error) {
return ErrorResponseHandler(error as AxiosError);
}
};

View File

@@ -1,697 +0,0 @@
import { PANEL_TYPES } from 'constants/queryBuilder';
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
import { EQueryType } from 'types/common/dashboard';
import { DataSource, ReduceOperators } from 'types/common/queryBuilder';
import { v4 } from 'uuid';
import {
createFilterItem,
K8sDetailsMetadataConfig,
} from '../Base/K8sBaseDetails';
import { QUERY_KEYS } from '../EntityDetailsUtils/utils';
import { K8sDaemonSetsData } from './api';
export const k8sDaemonSetGetSelectedItemFilters = (
selectedItemId: string,
): TagFilter => ({
op: 'AND',
items: [
{
id: 'k8s_daemonset_name',
key: {
key: 'k8s_daemonset_name',
type: null,
},
op: '=',
value: selectedItemId,
},
],
});
export const k8sDaemonSetDetailsMetadataConfig: K8sDetailsMetadataConfig<K8sDaemonSetsData>[] =
[
{
label: 'Daemonset Name',
getValue: (p): string => p.meta.k8s_daemonset_name,
},
{
label: 'Cluster Name',
getValue: (p): string => p.meta.k8s_cluster_name,
},
{
label: 'Namespace Name',
getValue: (p): string => p.meta.k8s_namespace_name,
},
];
export const k8sDaemonSetInitialEventsFilter = (
item: K8sDaemonSetsData,
): ReturnType<typeof createFilterItem>[] => [
createFilterItem(QUERY_KEYS.K8S_OBJECT_KIND, 'DaemonSet'),
createFilterItem(QUERY_KEYS.K8S_OBJECT_NAME, item.meta.k8s_daemonset_name),
];
export const k8sDaemonSetInitialLogTracesFilter = (
item: K8sDaemonSetsData,
): ReturnType<typeof createFilterItem>[] => [
createFilterItem(QUERY_KEYS.K8S_DAEMON_SET_NAME, item.meta.k8s_daemonset_name),
createFilterItem(QUERY_KEYS.K8S_NAMESPACE_NAME, item.meta.k8s_namespace_name),
];
export const k8sDaemonSetGetEntityName = (item: K8sDaemonSetsData): string =>
item.meta.k8s_daemonset_name;
export const daemonSetWidgetInfo = [
{
title: 'CPU usage, request, limits',
yAxisUnit: '',
},
{
title: 'Memory usage, request, limits',
yAxisUnit: 'bytes',
},
{
title: 'Network IO',
yAxisUnit: 'binBps',
},
{
title: 'Network errors count',
yAxisUnit: '',
},
];
export const getDaemonSetMetricsQueryPayload = (
daemonSet: K8sDaemonSetsData,
start: number,
end: number,
dotMetricsEnabled: boolean,
): GetQueryResultsProps[] => {
const k8sPodCpuUtilizationKey = dotMetricsEnabled
? 'k8s.pod.cpu.usage'
: 'k8s_pod_cpu_usage';
const k8sContainerCpuRequestKey = dotMetricsEnabled
? 'k8s.container.cpu_request'
: 'k8s_container_cpu_request';
const k8sContainerCpuLimitKey = dotMetricsEnabled
? 'k8s.container.cpu_limit'
: 'k8s_container_cpu_limit';
const k8sPodMemoryUsageKey = dotMetricsEnabled
? 'k8s.pod.memory.usage'
: 'k8s_pod_memory_usage';
const k8sContainerMemoryRequestKey = dotMetricsEnabled
? 'k8s.container.memory_request'
: 'k8s_container_memory_request';
const k8sContainerMemoryLimitKey = dotMetricsEnabled
? 'k8s.container.memory_limit'
: 'k8s_container_memory_limit';
const k8sPodNetworkIoKey = dotMetricsEnabled
? 'k8s.pod.network.io'
: 'k8s_pod_network_io';
const k8sPodNetworkErrorsKey = dotMetricsEnabled
? 'k8s.pod.network.errors'
: 'k8s_pod_network_errors';
const k8sDaemonSetNameKey = dotMetricsEnabled
? 'k8s.daemonset.name'
: 'k8s_daemonset_name';
const k8sPodNameKey = dotMetricsEnabled ? 'k8s.pod.name' : 'k8s_pod_name';
const k8sNamespaceNameKey = dotMetricsEnabled
? 'k8s.namespace.name'
: 'k8s_namespace_name';
return [
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_cpu_usage--float64--Gauge--true',
key: k8sPodCpuUtilizationKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: '745a486f',
key: {
dataType: DataTypes.String,
id: 'k8s_daemonset_name--string--tag--false',
key: k8sDaemonSetNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'usage',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_cpu_request--float64--Gauge--true',
key: k8sContainerCpuRequestKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'B',
filters: {
items: [
{
id: '148dffa7',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'requests',
limit: null,
orderBy: [],
queryName: 'B',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_cpu_limit--float64--Gauge--true',
key: k8sContainerCpuLimitKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'C',
filters: {
items: [
{
id: 'd420a02b',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'limits',
limit: null,
orderBy: [],
queryName: 'C',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_memory_usage--float64--Gauge--true',
key: k8sPodMemoryUsageKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: '6d3283ce',
key: {
dataType: DataTypes.String,
id: 'k8s_daemonset_name--string--tag--false',
key: k8sDaemonSetNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'usage',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_memory_request--float64--Gauge--true',
key: k8sContainerMemoryRequestKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'B',
filters: {
items: [
{
id: 'a334f5c2',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'requests',
limit: null,
orderBy: [],
queryName: 'B',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_memory_limit--float64--Gauge--true',
key: k8sContainerMemoryLimitKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'C',
filters: {
items: [
{
id: 'fde3c631',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'limits',
limit: null,
orderBy: [],
queryName: 'C',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_network_io--float64--Sum--true',
key: k8sPodNetworkIoKey,
type: 'Sum',
},
aggregateOperator: 'rate',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: 'ccbdbd6a',
key: {
dataType: DataTypes.String,
id: 'k8s_daemonset_name--string--tag--false',
key: k8sDaemonSetNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [
{
dataType: DataTypes.String,
id: 'direction--string--tag--false',
key: 'direction',
type: 'tag',
},
{
dataType: DataTypes.String,
id: 'interface--string--tag--false',
key: 'interface',
type: 'tag',
},
],
having: [],
legend: '{{direction}} :: {{interface}}',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'rate',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_network_errors--float64--Sum--true',
key: k8sPodNetworkErrorsKey,
type: 'Sum',
},
aggregateOperator: 'increase',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: '581a85fb',
key: {
dataType: DataTypes.String,
id: 'k8s_daemonset_name--string--tag--false',
key: k8sDaemonSetNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_daemonset_name,
},
{
id: '47b3adae',
key: {
dataType: DataTypes.String,
id: 'k8s_namespace_name--string--tag--false',
key: k8sNamespaceNameKey,
type: 'tag',
},
op: '=',
value: daemonSet.meta.k8s_namespace_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [
{
dataType: DataTypes.String,
id: 'direction--string--tag--false',
key: 'direction',
type: 'tag',
},
{
dataType: DataTypes.String,
id: 'interface--string--tag--false',
key: 'interface',
type: 'tag',
},
],
having: [],
legend: '{{direction}} :: {{interface}}',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'increase',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
];
};

View File

@@ -1,241 +0,0 @@
import { Tooltip } from 'antd';
import { TableColumnDef } from 'components/TanStackTableView';
import TanStackTable from 'components/TanStackTableView';
import { ExpandButtonWrapper } from 'container/InfraMonitoringK8s/components';
import EntityGroupHeader from '../Base/EntityGroupHeader';
import K8sGroupCell from '../Base/K8sGroupCell';
import { formatBytes } from '../commonUtils';
import { EntityProgressBar, ValidateColumnValueWrapper } from '../components';
import { InfraMonitoringEntity } from '../constants';
import { K8sDaemonSetsData } from './api';
import { Group } from '@signozhq/icons';
export function getK8sDaemonSetRowKey(daemonSet: K8sDaemonSetsData): string {
return (
daemonSet.daemonSetName ||
daemonSet.meta.k8s_daemonset_name ||
`${daemonSet.meta.k8s_namespace_name}-${daemonSet.meta.k8s_daemonset_name}`
);
}
export function getK8sDaemonSetItemKey(daemonSet: K8sDaemonSetsData): string {
return daemonSet.meta.k8s_daemonset_name;
}
export const k8sDaemonSetsColumnsConfig: TableColumnDef<K8sDaemonSetsData>[] = [
{
id: 'daemonSetGroup',
header: (): React.ReactNode => <EntityGroupHeader title="DAEMONSET GROUP" />,
accessorFn: (row): string => row.meta.k8s_daemonset_name || '',
width: { min: 300 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-collapse',
cell: ({ isExpanded, toggleExpanded, row }): JSX.Element | null => {
return (
<ExpandButtonWrapper
isExpanded={isExpanded}
toggleExpanded={toggleExpanded}
>
<K8sGroupCell row={row} />
</ExpandButtonWrapper>
);
},
},
{
id: 'daemonsetName',
header: (): React.ReactNode => (
<EntityGroupHeader
title="DaemonSet Name"
icon={<Group data-hide-expanded="true" size={14} />}
/>
),
accessorFn: (row): string => row.meta.k8s_daemonset_name || '',
width: { min: 290 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-expand',
cell: ({ value }): React.ReactNode => {
const daemonsetName = value as string;
return (
<Tooltip title={daemonsetName}>
<TanStackTable.Text>{daemonsetName}</TanStackTable.Text>
</Tooltip>
);
},
},
{
id: 'namespaceName',
header: 'Namespace Name',
accessorFn: (row): string => row.meta.k8s_namespace_name || '',
width: { default: 100 },
enableSort: false,
cell: ({ value }): React.ReactNode => {
const namespaceName = value as string;
return (
<Tooltip title={namespaceName}>
<TanStackTable.Text>{namespaceName}</TanStackTable.Text>
</Tooltip>
);
},
},
{
id: 'available_nodes',
header: 'Available',
accessorFn: (row): number => row.availableNodes,
width: { min: 140 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const availableNodes = value as number;
return (
<ValidateColumnValueWrapper
value={availableNodes}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="available node"
>
<TanStackTable.Text>{availableNodes}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'desired_nodes',
header: 'Desired',
accessorFn: (row): number => row.desiredNodes,
width: { min: 140 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const desiredNodes = value as number;
return (
<ValidateColumnValueWrapper
value={desiredNodes}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="desired node"
>
<TanStackTable.Text>{desiredNodes}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu_request',
header: 'CPU Req Usage (%)',
accessorFn: (row): number => row.cpuRequest,
width: { min: 200, default: 200 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const cpuRequest = value as number;
return (
<ValidateColumnValueWrapper
value={cpuRequest}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="CPU Request"
>
<EntityProgressBar value={cpuRequest} type="request" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu_limit',
header: 'CPU Limit Usage (%)',
accessorFn: (row): number => row.cpuLimit,
width: { min: 200, default: 200 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const cpuLimit = value as number;
return (
<ValidateColumnValueWrapper
value={cpuLimit}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="CPU Limit"
>
<EntityProgressBar value={cpuLimit} type="limit" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu',
header: 'CPU Usage (cores)',
accessorFn: (row): number => row.cpuUsage,
width: { min: 190 },
enableSort: true,
defaultVisibility: false,
cell: ({ value }): React.ReactNode => {
const cpu = value as number;
return (
<ValidateColumnValueWrapper
value={cpu}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="CPU metric"
>
<TanStackTable.Text>{cpu}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory_request',
header: 'Mem Req Usage (%)',
accessorFn: (row): number => row.memoryRequest,
width: { min: 190 },
enableSort: true,
defaultVisibility: false,
cell: ({ value }): React.ReactNode => {
const memoryRequest = value as number;
return (
<ValidateColumnValueWrapper
value={memoryRequest}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="Memory Request"
>
<EntityProgressBar value={memoryRequest} type="request" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory_limit',
header: 'Mem Limit Usage (%)',
accessorFn: (row): number => row.memoryLimit,
width: { min: 180 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const memoryLimit = value as number;
return (
<ValidateColumnValueWrapper
value={memoryLimit}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="Memory Limit"
>
<EntityProgressBar value={memoryLimit} type="limit" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory',
header: 'Mem Usage (WSS)',
accessorFn: (row): number => row.memoryUsage,
width: { min: 160 },
enableSort: true,
cell: ({ value }): React.ReactNode => {
const memory = value as number;
return (
<ValidateColumnValueWrapper
value={memory}
entity={InfraMonitoringEntity.DAEMONSETS}
attribute="memory metric"
>
<TanStackTable.Text>{formatBytes(memory)}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
];

View File

@@ -1,117 +0,0 @@
import React, { useCallback } from 'react';
import { InfraMonitoringEvents } from 'constants/events';
import { FeatureKeys } from 'constants/features';
import { useAppContext } from 'providers/App/App';
import K8sBaseDetails, { K8sDetailsFilters } from '../Base/K8sBaseDetails';
import { K8sBaseList } from '../Base/K8sBaseList';
import { K8sBaseFilters } from '../Base/types';
import { InfraMonitoringEntity } from '../constants';
import { getK8sDeploymentsList, K8sDeploymentsData } from './api';
import {
deploymentWidgetInfo,
getDeploymentMetricsQueryPayload,
k8sDeploymentDetailsMetadataConfig,
k8sDeploymentGetEntityName,
k8sDeploymentGetSelectedItemFilters,
k8sDeploymentInitialEventsFilter,
k8sDeploymentInitialLogTracesFilter,
} from './constants';
import {
getK8sDeploymentItemKey,
getK8sDeploymentRowKey,
k8sDeploymentsColumnsConfig,
} from './table.config';
function K8sDeploymentsList({
controlListPrefix,
}: {
controlListPrefix?: React.ReactNode;
}): JSX.Element {
const { featureFlags } = useAppContext();
const dotMetricsEnabled =
featureFlags?.find((flag) => flag.name === FeatureKeys.DOT_METRICS_ENABLED)
?.active || false;
const fetchListData = useCallback(
async (filters: K8sBaseFilters, signal?: AbortSignal) => {
filters.orderBy ||= {
columnName: 'cpu',
order: 'desc',
};
const response = await getK8sDeploymentsList(
filters,
signal,
undefined,
dotMetricsEnabled,
);
return {
data: response.payload?.data.records || [],
total: response.payload?.data.total || 0,
error: response.error,
rawData: response.payload?.data,
};
},
[dotMetricsEnabled],
);
const fetchEntityData = useCallback(
async (
filters: K8sDetailsFilters,
signal?: AbortSignal,
): Promise<{ data: K8sDeploymentsData | null; error?: string | null }> => {
const response = await getK8sDeploymentsList(
{
filters: filters.filters,
start: filters.start,
end: filters.end,
limit: 1,
offset: 0,
},
signal,
undefined,
dotMetricsEnabled,
);
const records = response.payload?.data.records || [];
return {
data: records.length > 0 ? records[0] : null,
error: response.error,
};
},
[dotMetricsEnabled],
);
return (
<>
<K8sBaseList<K8sDeploymentsData>
controlListPrefix={controlListPrefix}
entity={InfraMonitoringEntity.DEPLOYMENTS}
tableColumns={k8sDeploymentsColumnsConfig}
fetchListData={fetchListData}
getRowKey={getK8sDeploymentRowKey}
getItemKey={getK8sDeploymentItemKey}
eventCategory={InfraMonitoringEvents.Deployment}
/>
<K8sBaseDetails<K8sDeploymentsData>
category={InfraMonitoringEntity.DEPLOYMENTS}
eventCategory={InfraMonitoringEvents.Deployment}
getSelectedItemFilters={k8sDeploymentGetSelectedItemFilters}
fetchEntityData={fetchEntityData}
getEntityName={k8sDeploymentGetEntityName}
getInitialLogTracesFilters={k8sDeploymentInitialLogTracesFilter}
getInitialEventsFilters={k8sDeploymentInitialEventsFilter}
metadataConfig={k8sDeploymentDetailsMetadataConfig}
entityWidgetInfo={deploymentWidgetInfo}
getEntityQueryPayload={getDeploymentMetricsQueryPayload}
queryKeyPrefix="deployment"
/>
</>
);
}
export default K8sDeploymentsList;

View File

@@ -1,132 +0,0 @@
import axios from 'api';
import { ErrorResponseHandler } from 'api/ErrorResponseHandler';
import { UnderscoreToDotMap } from 'api/utils';
import { AxiosError } from 'axios';
import { ErrorResponse, SuccessResponse } from 'types/api';
import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
import { K8sBaseFilters } from '../Base/types';
export interface K8sDeploymentsListPayload {
filters: TagFilter;
groupBy?: BaseAutocompleteData[];
offset?: number;
limit?: number;
orderBy?: {
columnName: string;
order: 'asc' | 'desc';
};
}
export interface K8sDeploymentsData {
deploymentName: string;
cpuUsage: number;
memoryUsage: number;
desiredPods: number;
availablePods: number;
cpuRequest: number;
memoryRequest: number;
cpuLimit: number;
memoryLimit: number;
restarts: number;
meta: {
k8s_cluster_name: string;
k8s_deployment_name: string;
k8s_namespace_name: string;
};
}
export interface K8sDeploymentsListResponse {
status: string;
data: {
type: string;
records: K8sDeploymentsData[];
groups: null;
total: number;
sentAnyHostMetricsData: boolean;
isSendingK8SAgentMetrics: boolean;
};
}
// TODO(H4ad): Erase this whole file when migrating to openapi
export const deploymentsMetaMap = [
{ dot: 'k8s.cluster.name', under: 'k8s_cluster_name' },
{ dot: 'k8s.deployment.name', under: 'k8s_deployment_name' },
{ dot: 'k8s.namespace.name', under: 'k8s_namespace_name' },
] as const;
export function mapDeploymentsMeta(
raw: Record<string, unknown>,
): K8sDeploymentsData['meta'] {
const out: Record<string, unknown> = { ...raw };
deploymentsMetaMap.forEach(({ dot, under }) => {
if (dot in raw) {
const v = raw[dot];
out[under] = typeof v === 'string' ? v : raw[under];
}
});
return out as K8sDeploymentsData['meta'];
}
export const getK8sDeploymentsList = async (
props: K8sBaseFilters,
signal?: AbortSignal,
headers?: Record<string, string>,
dotMetricsEnabled = false,
): Promise<SuccessResponse<K8sDeploymentsListResponse> | ErrorResponse> => {
try {
const requestProps = dotMetricsEnabled
? {
...props,
filters: {
...props.filters,
items: props.filters.items.reduce<typeof props.filters.items>(
(acc, item) => {
if (item.value === undefined) {
return acc;
}
if (
item.key &&
typeof item.key === 'object' &&
'key' in item.key &&
typeof item.key.key === 'string'
) {
const mappedKey = UnderscoreToDotMap[item.key.key] ?? item.key.key;
acc.push({
...item,
key: { ...item.key, key: mappedKey },
});
} else {
acc.push(item);
}
return acc;
},
[] as typeof props.filters.items,
),
},
}
: props;
const response = await axios.post('/deployments/list', requestProps, {
signal,
headers,
});
const payload: K8sDeploymentsListResponse = response.data;
payload.data.records = payload.data.records.map((record) => ({
...record,
meta: mapDeploymentsMeta(record.meta as Record<string, unknown>),
}));
return {
statusCode: 200,
error: null,
message: 'Success',
payload,
params: requestProps,
};
} catch (error) {
return ErrorResponseHandler(error as AxiosError);
}
};

View File

@@ -1,608 +0,0 @@
import { PANEL_TYPES } from 'constants/queryBuilder';
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
import { EQueryType } from 'types/common/dashboard';
import { DataSource, ReduceOperators } from 'types/common/queryBuilder';
import { v4 } from 'uuid';
import {
createFilterItem,
K8sDetailsMetadataConfig,
} from '../Base/K8sBaseDetails';
import { QUERY_KEYS } from '../EntityDetailsUtils/utils';
import { K8sDeploymentsData } from './api';
export const k8sDeploymentGetSelectedItemFilters = (
selectedItemId: string,
): TagFilter => ({
op: 'AND',
items: [
{
id: 'k8s_deployment_name',
key: {
key: 'k8s_deployment_name',
type: null,
},
op: '=',
value: selectedItemId,
},
],
});
export const k8sDeploymentDetailsMetadataConfig: K8sDetailsMetadataConfig<K8sDeploymentsData>[] =
[
{
label: 'Deployment Name',
getValue: (p): string => p.meta.k8s_deployment_name,
},
{
label: 'Cluster Name',
getValue: (p): string => p.meta.k8s_cluster_name,
},
{
label: 'Namespace Name',
getValue: (p): string => p.meta.k8s_namespace_name,
},
];
export const k8sDeploymentInitialEventsFilter = (
item: K8sDeploymentsData,
): ReturnType<typeof createFilterItem>[] => [
createFilterItem(QUERY_KEYS.K8S_OBJECT_KIND, 'Deployment'),
createFilterItem(QUERY_KEYS.K8S_OBJECT_NAME, item.meta.k8s_deployment_name),
];
export const k8sDeploymentInitialLogTracesFilter = (
item: K8sDeploymentsData,
): ReturnType<typeof createFilterItem>[] => [
createFilterItem(
QUERY_KEYS.K8S_DEPLOYMENT_NAME,
item.meta.k8s_deployment_name,
),
createFilterItem(QUERY_KEYS.K8S_NAMESPACE_NAME, item.meta.k8s_namespace_name),
];
export const k8sDeploymentGetEntityName = (item: K8sDeploymentsData): string =>
item.meta.k8s_deployment_name;
export const deploymentWidgetInfo = [
{
title: 'CPU usage, request, limits',
yAxisUnit: '',
},
{
title: 'Memory usage, request, limits',
yAxisUnit: 'bytes',
},
{
title: 'Network IO',
yAxisUnit: 'binBps',
},
{
title: 'Network error count',
yAxisUnit: '',
},
];
export const getDeploymentMetricsQueryPayload = (
deployment: K8sDeploymentsData,
start: number,
end: number,
dotMetricsEnabled: boolean,
): GetQueryResultsProps[] => {
const k8sPodCpuUtilizationKey = dotMetricsEnabled
? 'k8s.pod.cpu.usage'
: 'k8s_pod_cpu_usage';
const k8sContainerCpuRequestKey = dotMetricsEnabled
? 'k8s.container.cpu_request'
: 'k8s_container_cpu_request';
const k8sContainerCpuLimitKey = dotMetricsEnabled
? 'k8s.container.cpu_limit'
: 'k8s_container_cpu_limit';
const k8sPodMemoryUsageKey = dotMetricsEnabled
? 'k8s.pod.memory.usage'
: 'k8s_pod_memory_usage';
const k8sContainerMemoryRequestKey = dotMetricsEnabled
? 'k8s.container.memory_request'
: 'k8s_container_memory_request';
const k8sContainerMemoryLimitKey = dotMetricsEnabled
? 'k8s.container.memory_limit'
: 'k8s_container_memory_limit';
const k8sPodNetworkIoKey = dotMetricsEnabled
? 'k8s.pod.network.io'
: 'k8s_pod_network_io';
const k8sPodNetworkErrorsKey = dotMetricsEnabled
? 'k8s.pod.network.errors'
: 'k8s_pod_network_errors';
const k8sDeploymentNameKey = dotMetricsEnabled
? 'k8s.deployment.name'
: 'k8s_deployment_name';
const k8sPodNameKey = dotMetricsEnabled ? 'k8s.pod.name' : 'k8s_pod_name';
return [
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_cpu_usage--float64--Gauge--true',
key: k8sPodCpuUtilizationKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: 'aec60cba',
key: {
dataType: DataTypes.String,
id: 'k8s_deployment_name--string--tag--false',
key: k8sDeploymentNameKey,
type: 'tag',
},
op: '=',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'usage',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_cpu_request--float64--Gauge--true',
key: k8sContainerCpuRequestKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'B',
filters: {
items: [
{
id: 'd047ec14',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'requests',
limit: null,
orderBy: [],
queryName: 'B',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_cpu_limit--float64--Gauge--true',
key: k8sContainerCpuLimitKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'C',
filters: {
items: [
{
id: '750b7856',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'limits',
limit: null,
orderBy: [],
queryName: 'C',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_memory_usage--float64--Gauge--true',
key: k8sPodMemoryUsageKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: '768c2f47',
key: {
dataType: DataTypes.String,
id: 'k8s_deployment_name--string--tag--false',
key: k8sDeploymentNameKey,
type: 'tag',
},
op: '=',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'usage',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_memory_request--float64--Gauge--true',
key: k8sContainerMemoryRequestKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'B',
filters: {
items: [
{
id: '1a96fa81',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'requests',
limit: null,
orderBy: [],
queryName: 'B',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_container_memory_limit--float64--Gauge--true',
key: k8sContainerMemoryLimitKey,
type: 'Gauge',
},
aggregateOperator: 'avg',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'C',
filters: {
items: [
{
id: 'e69a2b7e',
key: {
dataType: DataTypes.String,
id: 'k8s_pod_name--string--tag--false',
key: k8sPodNameKey,
type: 'tag',
},
op: 'contains',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [],
having: [],
legend: 'limits',
limit: null,
orderBy: [],
queryName: 'C',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'avg',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_network_io--float64--Sum--true',
key: k8sPodNetworkIoKey,
type: 'Sum',
},
aggregateOperator: 'rate',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: '8b550f6d',
key: {
dataType: DataTypes.String,
id: 'k8s_deployment_name--string--tag--false',
key: k8sDeploymentNameKey,
type: 'tag',
},
op: '=',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [
{
dataType: DataTypes.String,
id: 'direction--string--tag--false',
key: 'direction',
type: 'tag',
},
{
dataType: DataTypes.String,
id: 'interface--string--tag--false',
key: 'interface',
type: 'tag',
},
],
having: [],
legend: '{{direction}} :: {{interface}}',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'rate',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
{
selectedTime: 'GLOBAL_TIME',
graphType: PANEL_TYPES.TIME_SERIES,
query: {
builder: {
queryData: [
{
aggregateAttribute: {
dataType: DataTypes.Float64,
id: 'k8s_pod_network_errors--float64--Sum--true',
key: k8sPodNetworkErrorsKey,
type: 'Sum',
},
aggregateOperator: 'increase',
dataSource: DataSource.METRICS,
disabled: false,
expression: 'A',
filters: {
items: [
{
id: 'e16c1e4a',
key: {
dataType: DataTypes.String,
id: 'k8s_deployment_name--string--tag--false',
key: k8sDeploymentNameKey,
type: 'tag',
},
op: '=',
value: deployment.meta.k8s_deployment_name,
},
],
op: 'AND',
},
functions: [],
groupBy: [
{
dataType: DataTypes.String,
id: 'direction--string--tag--false',
key: 'direction',
type: 'tag',
},
{
dataType: DataTypes.String,
id: 'interface--string--tag--false',
key: 'interface',
type: 'tag',
},
],
having: [],
legend: '{{direction}} :: {{interface}}',
limit: null,
orderBy: [],
queryName: 'A',
reduceTo: ReduceOperators.AVG,
spaceAggregation: 'sum',
stepInterval: 60,
timeAggregation: 'increase',
},
],
queryFormulas: [],
queryTraceOperator: [],
},
clickhouse_sql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
id: v4(),
promql: [
{
disabled: false,
legend: '',
name: 'A',
query: '',
},
],
queryType: EQueryType.QUERY_BUILDER,
},
variables: {},
formatForWeb: false,
start,
end,
},
];
};

View File

@@ -1,246 +0,0 @@
import { Tooltip } from 'antd';
import { TableColumnDef } from 'components/TanStackTableView';
import TanStackTable from 'components/TanStackTableView';
import { ExpandButtonWrapper } from 'container/InfraMonitoringK8s/components';
import EntityGroupHeader from '../Base/EntityGroupHeader';
import K8sGroupCell from '../Base/K8sGroupCell';
import { formatBytes } from '../commonUtils';
import { EntityProgressBar, ValidateColumnValueWrapper } from '../components';
import { InfraMonitoringEntity } from '../constants';
import { K8sDeploymentsData } from './api';
import { Computer } from '@signozhq/icons';
export function getK8sDeploymentRowKey(deployment: K8sDeploymentsData): string {
return deployment.meta.k8s_deployment_name || deployment.deploymentName;
}
export function getK8sDeploymentItemKey(
deployment: K8sDeploymentsData,
): string {
return deployment.meta.k8s_deployment_name;
}
export const k8sDeploymentsColumnsConfig: TableColumnDef<K8sDeploymentsData>[] =
[
{
id: 'deploymentGroup',
header: (): React.ReactNode => (
<EntityGroupHeader title="DEPLOYMENT GROUP" />
),
accessorFn: (row): string => row.meta.k8s_deployment_name || '',
width: { min: 220 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-collapse',
cell: ({ isExpanded, toggleExpanded, row }): JSX.Element | null => {
return (
<ExpandButtonWrapper
isExpanded={isExpanded}
toggleExpanded={toggleExpanded}
>
<K8sGroupCell row={row} />
</ExpandButtonWrapper>
);
},
},
{
id: 'deploymentName',
header: (): React.ReactNode => (
<EntityGroupHeader
title="Deployment Name"
icon={<Computer data-hide-expanded="true" size={14} />}
/>
),
accessorFn: (row): string => row.meta.k8s_deployment_name || '',
width: { min: 210 },
enableSort: false,
enableRemove: false,
enableMove: false,
pin: 'left',
visibilityBehavior: 'hidden-on-expand',
cell: ({ value }): React.ReactNode => {
const deploymentName = value as string;
return (
<Tooltip title={deploymentName}>
<TanStackTable.Text>{deploymentName}</TanStackTable.Text>
</Tooltip>
);
},
},
{
id: 'namespaceName',
header: 'Namespace Name',
accessorFn: (row): string => row.meta.k8s_namespace_name || '',
width: { default: 220 },
enableSort: false,
enableResize: true,
cell: ({ value }): React.ReactNode => (
<TanStackTable.Text>{value as string}</TanStackTable.Text>
),
},
{
id: 'available_pods',
header: 'Available',
accessorFn: (row): number => row.availablePods,
width: { min: 100 },
enableSort: false,
enableResize: true,
defaultVisibility: false,
cell: ({ value }): React.ReactNode => {
const availablePods = value as number;
return (
<ValidateColumnValueWrapper
value={availablePods}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="available pod"
>
<TanStackTable.Text>{availablePods}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'desired_pods',
header: 'Desired',
accessorFn: (row): number => row.desiredPods,
width: { min: 80 },
enableSort: false,
enableResize: true,
defaultVisibility: false,
cell: ({ value }): React.ReactNode => {
const desiredPods = value as number;
return (
<ValidateColumnValueWrapper
value={desiredPods}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="desired pod"
>
<TanStackTable.Text>{desiredPods}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu_request',
header: 'CPU Req Usage (%)',
accessorFn: (row): number => row.cpuRequest,
width: { min: 210 },
enableSort: true,
enableResize: true,
cell: ({ value }): React.ReactNode => {
const cpuRequest = value as number;
return (
<ValidateColumnValueWrapper
value={cpuRequest}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="CPU Request"
>
<EntityProgressBar value={cpuRequest} type="request" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu_limit',
header: 'CPU Limit Usage (%)',
accessorFn: (row): number => row.cpuLimit,
width: { min: 210 },
enableSort: true,
enableResize: true,
cell: ({ value }): React.ReactNode => {
const cpuLimit = value as number;
return (
<ValidateColumnValueWrapper
value={cpuLimit}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="CPU Limit"
>
<EntityProgressBar value={cpuLimit} type="limit" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'cpu',
header: 'CPU Usage (cores)',
accessorFn: (row): number => row.cpuUsage,
width: { min: 210 },
enableSort: true,
enableResize: true,
cell: ({ value }): React.ReactNode => {
const cpu = value as number;
return (
<ValidateColumnValueWrapper
value={cpu}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="CPU metric"
>
<TanStackTable.Text>{cpu}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory_request',
header: 'Mem Req Usage (%)',
accessorFn: (row): number => row.memoryRequest,
width: { min: 210 },
enableSort: true,
enableResize: true,
cell: ({ value }): React.ReactNode => {
const memoryRequest = value as number;
return (
<ValidateColumnValueWrapper
value={memoryRequest}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="Memory Request"
>
<EntityProgressBar value={memoryRequest} type="request" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory_limit',
header: 'Mem Limit Usage (%)',
accessorFn: (row): number => row.memoryLimit,
width: { min: 210 },
enableSort: true,
enableResize: true,
cell: ({ value }): React.ReactNode => {
const memoryLimit = value as number;
return (
<ValidateColumnValueWrapper
value={memoryLimit}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="Memory Limit"
>
<EntityProgressBar value={memoryLimit} type="limit" />
</ValidateColumnValueWrapper>
);
},
},
{
id: 'memory',
header: 'Mem Usage (WSS)',
accessorFn: (row): number => row.memoryUsage,
width: { min: 140 },
enableSort: true,
enableResize: true,
cell: ({ value }): React.ReactNode => {
const memory = value as number;
return (
<ValidateColumnValueWrapper
value={memory}
entity={InfraMonitoringEntity.DEPLOYMENTS}
attribute="memory metric"
>
<TanStackTable.Text>{formatBytes(memory)}</TanStackTable.Text>
</ValidateColumnValueWrapper>
);
},
},
];

View File

@@ -1,32 +0,0 @@
.container {
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
height: 240px;
}
.content {
display: flex;
flex-direction: column;
gap: 4px;
color: var(--muted-foreground);
font-size: 14px;
font-weight: 400;
line-height: 18px;
letter-spacing: -0.07px;
}
.icon {
height: 32px;
width: 32px;
}
.title {
font-weight: 600;
}
.subtitle {
font-weight: 400;
color: var(--muted-foreground);
}

View File

@@ -1,32 +0,0 @@
import { Typography } from '@signozhq/ui/typography';
import emptyStateUrl from '@/assets/Icons/emptyState.svg';
import styles from './EntityEmptyState.module.scss';
interface EntityEmptyStateProps {
hasFilters: boolean;
}
export default function EntityEmptyState({
hasFilters,
}: EntityEmptyStateProps): JSX.Element {
return (
<div className={styles.container}>
<div className={styles.content}>
<img src={emptyStateUrl} alt="empty-state" className={styles.icon} />
{hasFilters ? (
<Typography.Text>
<span className={styles.title}>This query had no results. </span>
Edit your query and try again!
</Typography.Text>
) : (
<Typography.Text>
<span className={styles.title}>No data yet. </span>
When we receive data, it will show up here.
</Typography.Text>
)}
</div>
</div>
);
}

View File

@@ -1,40 +0,0 @@
.container {
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
height: 240px;
}
.content {
display: flex;
flex-direction: column;
gap: 4px;
color: var(--muted-foreground);
font-size: 14px;
font-weight: 400;
line-height: 18px;
letter-spacing: -0.07px;
}
.icon {
height: 32px;
width: 32px;
}
.title {
font-weight: 600;
}
.contactSupport {
display: flex;
align-items: center;
margin-top: 8px;
gap: 4px;
cursor: pointer;
}
.contactSupportText {
color: var(--text-robin-400);
font-weight: 500;
}

View File

@@ -1,50 +0,0 @@
import { Typography } from '@signozhq/ui/typography';
import { useGetTenantLicense } from 'hooks/useGetTenantLicense';
import history from 'lib/history';
import { ArrowRight } from '@signozhq/icons';
import { openInNewTab } from 'utils/navigation';
import awwSnapUrl from '@/assets/Icons/awwSnap.svg';
import styles from './EntityError.module.scss';
export default function EntityError(): JSX.Element {
const { isCloudUser: isCloudUserVal } = useGetTenantLicense();
const handleContactSupport = (): void => {
if (isCloudUserVal) {
history.push('/support');
} else {
openInNewTab('https://signoz.io/slack');
}
};
return (
<div className={styles.container}>
<div className={styles.content}>
<img src={awwSnapUrl} alt="error" className={styles.icon} />
<Typography.Text>
<span className={styles.title}>Aw snap :/ </span>
Something went wrong. Please try again or contact support.
</Typography.Text>
<div
className={styles.contactSupport}
onClick={handleContactSupport}
role="button"
tabIndex={0}
onKeyDown={(e): void => {
if (e.key === 'Enter') {
handleContactSupport();
}
}}
>
<Typography.Link className={styles.contactSupportText}>
Contact Support
</Typography.Link>
<ArrowRight size={14} />
</div>
</div>
</div>
);
}

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@@ -1,101 +0,0 @@
.container {
margin-top: 1rem;
}
.filterContainer {
display: flex;
flex-direction: column;
gap: 8px;
padding: var(--spacing-6);
border-radius: var(--radius);
border: 1px solid var(--l1-border);
:global(.ant-select-selector) {
border-radius: 2px;
border: 1px solid var(--l1-border) !important;
background-color: var(--l3-background) !important;
input {
font-size: 12px;
}
:global([data-slot='badge'] .ant-typography) {
font-size: 12px;
}
}
}
.filterContainerTime {
display: flex;
justify-content: flex-end;
align-items: center;
gap: 8px;
}
.filterQuerySearch {
flex: 1;
}
.controls {
width: 100%;
display: flex;
justify-content: flex-end;
}
.eventsTable {
margin-top: var(--spacing-8);
:global(.ant-table) {
:global(.ant-table-thead) > tr > th {
padding: 12px;
font-weight: 500;
font-size: 11px;
line-height: 18px;
background: var(--card);
border-bottom: none;
color: var(--l2-foreground);
font-family: Inter;
font-style: normal;
font-weight: 600;
letter-spacing: 0.44px;
text-transform: uppercase;
&::before {
background-color: transparent;
}
}
:global(.ant-table-cell) {
padding: 12px;
font-size: 13px;
line-height: 20px;
color: var(--l1-foreground);
background: var(--card);
border-bottom: none;
}
:global(.ant-table-tbody) > tr:hover > td {
background: color-mix(in srgb, var(--l1-foreground) 4%, transparent);
}
:global(.ant-table-tbody) > tr > td {
border-bottom: none;
}
:global(.ant-table-thead)
> tr
> th:not(:last-child):not(:global(.ant-table-selection-column)):not(
:global(.ant-table-row-expand-icon-cell)
):not([colspan])::before {
background-color: transparent;
}
:global(.ant-empty-normal) {
visibility: hidden;
}
}
}
.expandIcon {
cursor: pointer;
}

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@@ -1,334 +0,0 @@
import { useCallback, useEffect, useMemo } from 'react';
import { Table, TableColumnsType } from 'antd';
import logEvent from 'api/common/logEvent';
import {
QuerySearchV2Provider,
useExpression,
useInitialExpression,
useInputExpression,
useQuerySearchInitialExpressionProp,
useQuerySearchOnChange,
useQuerySearchOnRun,
useUserExpression,
} from 'components/QueryBuilderV2';
import QuerySearch from 'components/QueryBuilderV2/QueryV2/QuerySearch/QuerySearch';
import {
combineInitialAndUserExpression,
getUserExpressionFromCombined,
} from 'components/QueryBuilderV2/QueryV2/QuerySearch/utils';
import { InfraMonitoringEvents } from 'constants/events';
import Controls from 'container/Controls';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import LoadingContainer from 'container/InfraMonitoringK8s/LoadingContainer';
import RunQueryBtn from 'container/QueryBuilder/components/RunQueryBtn/RunQueryBtn';
import DateTimeSelectionV2 from 'container/TopNav/DateTimeSelectionV2';
import {
CustomTimeType,
Time,
} from 'container/TopNav/DateTimeSelectionV2/types';
import { ChevronDown, ChevronRight } from '@signozhq/icons';
import { useQueryState } from 'nuqs';
import { DataSource } from 'types/common/queryBuilder';
import { parseAsJsonNoValidate } from 'utils/nuqsParsers';
import { validateQuery } from 'utils/queryValidationUtils';
import EntityEmptyState from '../EntityEmptyState/EntityEmptyState';
import EntityError from '../EntityError/EntityError';
import { EventContents } from './EventsContent';
import EventsNotConfigured from './EventsNotConfigured';
import { K8S_ENTITY_EVENTS_EXPRESSION_KEY, useEntityEvents } from './hooks';
import { getEntityEventsQueryPayload, isEventsKeyNotFoundError } from './utils';
import styles from './EntityEvents.module.scss';
import { useTimezone } from 'providers/Timezone';
interface EventDataType {
key: string;
timestamp: string;
body: string;
id: string;
severity: string;
attributes_string?: Record<string, string>;
resources_string?: Record<string, string>;
}
interface Props {
timeRange: {
startTime: number;
endTime: number;
};
isModalTimeSelection: boolean;
handleTimeChange: (
interval: Time | CustomTimeType,
dateTimeRange?: [number, number],
) => void;
selectedInterval: Time;
queryKey: string;
category: InfraMonitoringEntity;
initialExpression: string;
}
const PAGE_SIZE_OPTIONS = [10, 20, 50];
const handleExpandRow = (record: EventDataType): JSX.Element => (
<EventContents
data={{ ...record.attributes_string, ...record.resources_string }}
/>
);
function EntityEventsContent({
timeRange,
isModalTimeSelection,
handleTimeChange,
selectedInterval,
queryKey,
category,
}: Omit<Props, 'initialExpression'>): JSX.Element {
const expression = useExpression();
const inputExpression = useInputExpression();
const userExpression = useUserExpression();
const initialExpression = useInitialExpression();
const querySearchOnChange = useQuerySearchOnChange();
const querySearchOnRun = useQuerySearchOnRun();
const querySearchInitialExpressionProp = useQuerySearchInitialExpressionProp();
const [pagination, setPagination] = useQueryState(
'eventsPagination',
parseAsJsonNoValidate<{ offset: number; limit: number }>(),
);
const pageSize = pagination?.limit || PAGE_SIZE_OPTIONS[0];
const offset = pagination?.offset || 0;
const {
events,
isLoading,
isFetching,
isError,
error,
currentCount,
hasMore,
refetch,
cancel,
} = useEntityEvents({
queryKey,
timeRange,
expression,
offset,
pageSize,
});
const handleRunQuery = useCallback(
(updatedExpression?: string): void => {
const newUserExpression = updatedExpression
? getUserExpressionFromCombined(initialExpression, updatedExpression)
: inputExpression;
const validation = validateQuery(
initialExpression
? combineInitialAndUserExpression(initialExpression, newUserExpression)
: newUserExpression || '',
);
if (validation.isValid) {
querySearchOnRun(newUserExpression || '');
logEvent(InfraMonitoringEvents.FilterApplied, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category,
view: InfraMonitoringEvents.EventsView,
});
refetch();
}
},
[inputExpression, initialExpression, refetch, querySearchOnRun, category],
);
const queryData = useMemo(
() =>
getEntityEventsQueryPayload({
start: timeRange.startTime,
end: timeRange.endTime,
expression: userExpression || '',
}).queryData,
[timeRange.startTime, timeRange.endTime, userExpression],
);
const formattedEvents = useMemo<EventDataType[]>(
() =>
events.map((event) => ({
key: event.data.id,
id: event.data.id,
timestamp: event.timestamp,
body: event.data.body,
severity: event.data.severity_text,
attributes_string: event.data.attributes_string,
resources_string: event.data.resources_string,
})),
[events],
);
const { formatTimezoneAdjustedTimestamp } = useTimezone();
const columns: TableColumnsType<EventDataType> = useMemo(
() => [
{ title: 'Severity', dataIndex: 'severity', key: 'severity', width: 100 },
{
title: 'Timestamp',
dataIndex: 'timestamp',
width: 240,
ellipsis: true,
key: 'timestamp',
render: (value: string | number): string =>
formatTimezoneAdjustedTimestamp(
typeof value === 'string' ? value : value / 1e6,
),
},
{ title: 'Body', dataIndex: 'body', key: 'body' },
],
[formatTimezoneAdjustedTimestamp],
);
const handleExpandRowIcon = ({
expanded,
onExpand,
record,
}: {
expanded: boolean;
onExpand: (
record: EventDataType,
e: React.MouseEvent<HTMLElement, MouseEvent>,
) => void;
record: EventDataType;
}): JSX.Element => {
const handleClick = (e: React.MouseEvent<SVGSVGElement>): void => {
onExpand(record, e as unknown as React.MouseEvent<HTMLElement, MouseEvent>);
};
return expanded ? (
<ChevronDown className={styles.expandIcon} size={14} onClick={handleClick} />
) : (
<ChevronRight
className={styles.expandIcon}
size={14}
onClick={handleClick}
/>
);
};
useEffect(() => {
return (): void => {
void setPagination(null);
};
}, [setPagination]);
const isDataEmpty =
!isLoading && !isFetching && !isError && formattedEvents.length === 0;
const hasAdditionalFilters = !!userExpression?.trim();
return (
<div className={styles.container}>
<div className={styles.filterContainer}>
<div className={styles.filterContainerTime}>
<DateTimeSelectionV2
showAutoRefresh
showRefreshText={false}
hideShareModal
isModalTimeSelection={isModalTimeSelection}
onTimeChange={handleTimeChange}
defaultRelativeTime="5m"
modalSelectedInterval={selectedInterval}
modalInitialStartTime={timeRange.startTime * 1000}
modalInitialEndTime={timeRange.endTime * 1000}
/>
<RunQueryBtn
isLoadingQueries={isFetching}
onStageRunQuery={(): void => handleRunQuery()}
handleCancelQuery={cancel}
/>
</div>
<div className={styles.filterQuerySearch}>
<QuerySearch
onChange={querySearchOnChange}
queryData={queryData}
dataSource={DataSource.LOGS}
onRun={handleRunQuery}
initialExpression={querySearchInitialExpressionProp}
/>
</div>
</div>
{isLoading && formattedEvents.length === 0 && <LoadingContainer />}
{isDataEmpty && <EntityEmptyState hasFilters={hasAdditionalFilters} />}
{isError && !isLoading && isEventsKeyNotFoundError(error) && (
<EventsNotConfigured />
)}
{isError && !isLoading && !isEventsKeyNotFoundError(error) && (
<EntityError />
)}
{!isLoading && !isError && formattedEvents.length > 0 && (
<div className={styles.eventsTable}>
<div className={styles.controls}>
<Controls
totalCount={hasMore ? currentCount + 1 : currentCount}
countPerPage={pageSize}
offset={offset}
perPageOptions={PAGE_SIZE_OPTIONS}
isLoading={isFetching}
handleNavigatePrevious={(): void => {
void setPagination({
offset: Math.max(0, offset - pageSize),
limit: pageSize,
});
}}
handleNavigateNext={(): void => {
void setPagination({
offset: offset + pageSize,
limit: pageSize,
});
}}
handleCountItemsPerPageChange={(value): void => {
void setPagination({
offset: 0,
limit: value,
});
}}
/>
</div>
<Table<EventDataType>
loading={isFetching && formattedEvents.length === 0}
columns={columns}
expandable={{
expandedRowRender: handleExpandRow,
rowExpandable: (record): boolean => record.body !== 'Not Expandable',
expandIcon: handleExpandRowIcon,
}}
dataSource={formattedEvents}
pagination={false}
rowKey={(record): string => record.id}
/>
</div>
)}
</div>
);
}
function EntityEvents({ initialExpression, ...rest }: Props): JSX.Element {
return (
<QuerySearchV2Provider
queryParamKey={K8S_ENTITY_EVENTS_EXPRESSION_KEY}
initialExpression={initialExpression}
persistOnUnmount
>
<EntityEventsContent {...rest} />
</QuerySearchV2Provider>
);
}
export default EntityEvents;

View File

@@ -1,74 +0,0 @@
.eventContentContainer {
padding: var(--spacing-6);
:global(.ant-table) {
background: var(--l1-background);
:global(.ant-table-row:hover) {
:global(.ant-table-cell .value-field .action-btn) {
display: flex;
position: absolute;
top: 50%;
right: 16px;
transform: translateY(-50%);
gap: 4px;
}
}
:global(.ant-table-cell) {
border: 1px solid var(--l2-border) !important;
}
:global(.attribute-name .ant-btn:hover) {
background-color: transparent !important;
}
:global(.attribute-pin .log-attribute-pin) {
padding: 8px;
display: flex;
justify-content: center;
align-items: center;
}
:global(.attribute-pin .pin-attribute-icon) {
border: none;
}
:global(.attribute-pin .pin-attribute-icon.pinned svg) {
fill: var(--bg-robin-500);
}
:global(.value-field-container) {
background: var(--l3-background);
}
:global(.attribute-pin.value-field-container) {
background: var(--l1-background);
}
:global(.value-field-container .value-field) {
font-family: 'Geist Mono';
position: relative;
}
:global(.value-field-container .action-btn) {
display: none;
width: max-content;
position: absolute;
right: 0;
}
:global(.value-field-container .action-btn .filter-btn) {
display: flex;
align-items: center;
border: none;
box-shadow: none;
border-radius: 2px;
background: var(--l3-background);
padding: 2px 3px;
gap: 3px;
height: 18px;
width: 20px;
}
}
}

View File

@@ -1,52 +0,0 @@
import { useMemo } from 'react';
import type { ColumnsType } from 'antd/lib/table';
import { ResizeTable } from 'components/ResizeTable';
import FieldRenderer from 'container/LogDetailedView/FieldRenderer';
import { DataType } from 'container/LogDetailedView/TableView';
import styles from './EventsContent.module.scss';
export function EventContents({
data,
}: {
data: Record<string, string> | undefined;
}): JSX.Element {
const tableData = useMemo(
() =>
data ? Object.keys(data).map((key) => ({ key, value: data[key] })) : [],
[data],
);
const columns: ColumnsType<DataType> = [
{
title: 'Key',
dataIndex: 'key',
key: 'key',
width: 50,
align: 'left',
className: 'attribute-pin value-field-container',
render: (field: string): JSX.Element => <FieldRenderer field={field} />,
},
{
title: 'Value',
dataIndex: 'value',
key: 'value',
width: 50,
align: 'left',
ellipsis: true,
className: 'attribute-name',
render: (field: string): JSX.Element => <FieldRenderer field={field} />,
},
];
return (
<ResizeTable
columns={columns}
tableLayout="fixed"
dataSource={tableData}
pagination={false}
showHeader={false}
className={styles.eventContentContainer}
/>
);
}

View File

@@ -1,40 +0,0 @@
.container {
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
height: 240px;
}
.content {
display: flex;
flex-direction: column;
gap: 4px;
color: var(--muted-foreground);
font-size: 14px;
font-weight: 400;
line-height: 18px;
letter-spacing: -0.07px;
}
.icon {
height: 32px;
width: 32px;
}
.title {
font-weight: 600;
}
.learnMore {
display: flex;
align-items: center;
margin-top: 8px;
gap: 4px;
cursor: pointer;
}
.learnMoreText {
color: var(--text-robin-400);
font-weight: 500;
}

View File

@@ -1,46 +0,0 @@
import { Typography } from '@signozhq/ui/typography';
import { ArrowRight } from '@signozhq/icons';
import { openInNewTab } from 'utils/navigation';
import emptyStateUrl from '@/assets/Icons/emptyState.svg';
import styles from './EventsNotConfigured.module.scss';
const K8S_EVENTS_DOCS_URL =
'https://signoz.io/docs/infrastructure-monitoring/k8s-metrics/';
export default function EventsNotConfigured(): JSX.Element {
const handleLearnMore = (): void => {
openInNewTab(K8S_EVENTS_DOCS_URL);
};
return (
<div className={styles.container}>
<div className={styles.content}>
<img src={emptyStateUrl} alt="not-configured" className={styles.icon} />
<Typography.Text>
<span className={styles.title}>No Kubernetes events received yet. </span>
To view events, enable the k8s events receiver in your OpenTelemetry
Collector.
</Typography.Text>
<div
className={styles.learnMore}
onClick={handleLearnMore}
role="button"
tabIndex={0}
onKeyDown={(e): void => {
if (e.key === 'Enter') {
handleLearnMore();
}
}}
>
<Typography.Link className={styles.learnMoreText}>
Learn how to configure
</Typography.Link>
<ArrowRight size={14} />
</div>
</div>
</div>
);
}

View File

@@ -1,100 +0,0 @@
import { mockQueryRangeV5WithEventsResponse } from '__tests__/query_range_v5.util';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import { NuqsTestingAdapter } from 'nuqs/adapters/testing';
import { act, render, screen, waitFor } from 'tests/test-utils';
import { QueryRangePayloadV5 } from 'types/api/v5/queryRange';
import EntityEvents from '../EntityEvents';
import { K8S_ENTITY_EVENTS_EXPRESSION_KEY } from '../hooks';
function verifyEntityEventsV5Request({
payload,
expectedOffset,
initialTimeRange,
}: {
payload: QueryRangePayloadV5;
expectedOffset: number;
initialTimeRange?: { start: number; end: number };
}): void {
const spec = payload.compositeQuery.queries[0]?.spec as {
offset?: number;
order?: Array<{ key: { name: string }; direction: string }>;
};
expect(spec.offset).toBe(expectedOffset);
if (initialTimeRange) {
expect(payload.start).toBe(initialTimeRange.start);
expect(payload.end).toBe(initialTimeRange.end);
}
const orderKeys = spec.order?.map((o) => o.key.name) ?? [];
expect(orderKeys).toContain('timestamp');
}
jest.mock('container/TopNav/DateTimeSelectionV2/index.tsx', () => ({
__esModule: true,
default: ({
onTimeChange,
}: {
onTimeChange?: (interval: string, dateTimeRange?: [number, number]) => void;
}): JSX.Element => (
<button
type="button"
data-testid="mock-datetime-selection"
onClick={(): void => {
onTimeChange?.('5m');
}}
>
Select Time
</button>
),
}));
describe('EntityEvents', () => {
let capturedQueryRangePayloads: QueryRangePayloadV5[] = [];
beforeEach(() => {
capturedQueryRangePayloads = [];
mockQueryRangeV5WithEventsResponse({
onReceiveRequest: async (req) => {
const body = (await req.json()) as QueryRangePayloadV5;
capturedQueryRangePayloads.push(body);
return {};
},
});
});
it('should use V5 API for fetching events', async () => {
act(() => {
render(
<NuqsTestingAdapter
searchParams={`${K8S_ENTITY_EVENTS_EXPRESSION_KEY}=k8s.pod.name+%3D+%22x%22`}
>
<EntityEvents
timeRange={{ startTime: 1, endTime: 2 }}
isModalTimeSelection={false}
handleTimeChange={jest.fn()}
selectedInterval="5m"
queryKey="test"
category={InfraMonitoringEntity.PODS}
initialExpression='k8s.pod.name = "x"'
/>
</NuqsTestingAdapter>,
);
});
await waitFor(() => {
expect(
screen.queryByText('pending_data_placeholder'),
).not.toBeInTheDocument();
});
await waitFor(() => {
expect(capturedQueryRangePayloads).toHaveLength(1);
});
const firstPayload = capturedQueryRangePayloads[0];
verifyEntityEventsV5Request({
payload: firstPayload,
expectedOffset: 0,
});
});
});

View File

@@ -1,122 +0,0 @@
import { useCallback, useMemo } from 'react';
import { useQuery, useQueryClient } from 'react-query';
import { ENTITY_VERSION_V5 } from 'constants/app';
import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
import { GetMetricQueryRange } from 'lib/dashboard/getQueryResults';
import { getEntityEventsQueryPayload } from './utils';
export const K8S_ENTITY_EVENTS_EXPRESSION_KEY = 'k8sEntityEventsExpression';
export interface EventRowData {
id: string;
body: string;
severity_text: string;
attributes_string?: Record<string, string>;
resources_string?: Record<string, string>;
}
export interface EventRow {
timestamp: string;
data: EventRowData;
}
export function useEntityEvents({
queryKey,
timeRange,
expression,
offset = 0,
pageSize = 10,
}: {
queryKey: string;
timeRange: { startTime: number; endTime: number };
expression: string;
offset?: number;
pageSize?: number;
}): {
events: EventRow[];
isLoading: boolean;
isFetching: boolean;
isError: boolean;
error?: unknown;
currentCount: number;
hasMore: boolean;
refetch: () => void;
cancel: () => void;
reactQueryKey: unknown[];
} {
const reactQueryKey = useMemo(
() => [
// TODO: remove AUTO_REFRESH_QUERY when migrating to date time selection v3
REACT_QUERY_KEY.AUTO_REFRESH_QUERY,
queryKey,
timeRange.startTime,
timeRange.endTime,
expression,
offset,
pageSize,
],
[
queryKey,
timeRange.startTime,
timeRange.endTime,
expression,
offset,
pageSize,
],
);
const { data, isLoading, isFetching, isError, error, refetch } = useQuery({
queryKey: reactQueryKey,
queryFn: async ({ signal }) => {
const { query } = getEntityEventsQueryPayload({
start: timeRange.startTime,
end: timeRange.endTime,
expression,
offset,
pageSize,
});
return GetMetricQueryRange(query, ENTITY_VERSION_V5, undefined, signal);
},
enabled: !!expression?.trim(),
});
const result = data?.payload?.data?.newResult?.data?.result?.[0];
const events = useMemo<EventRow[]>(() => {
const list = result?.list;
if (!list) {
return [];
}
return list.map((item) => ({
data: item.data as EventRowData,
timestamp: item.timestamp,
}));
}, [result?.list]);
const currentCount = result?.list?.length || 0;
const hasMore = !!result?.nextCursor || currentCount >= pageSize;
const queryClient = useQueryClient();
const cancel = useCallback(() => {
void queryClient.cancelQueries({
queryKey: reactQueryKey,
});
}, [queryClient, reactQueryKey]);
return {
events,
isLoading,
isFetching,
isError,
error,
currentCount,
hasMore,
refetch,
cancel,
reactQueryKey,
};
}

View File

@@ -1,3 +0,0 @@
import Events from './EntityEvents';
export default Events;

View File

@@ -1,130 +0,0 @@
import {
initialQueryBuilderFormValuesMap,
PANEL_TYPES,
} from 'constants/queryBuilder';
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
import { EQueryType } from 'types/common/dashboard';
import {
DataSource,
LogsAggregatorOperator,
ReduceOperators,
} from 'types/common/queryBuilder';
import APIError from 'types/api/error';
import { v4 as uuidv4 } from 'uuid';
const K8S_EVENT_KEYS = ['k8s.object.kind', 'k8s.object.name'];
export function isEventsKeyNotFoundError(error: unknown): boolean {
if (!(error instanceof APIError)) {
return false;
}
const errorDetails = error.getErrorDetails();
if (errorDetails.error.code !== 'invalid_input') {
return false;
}
const errors = errorDetails.error.errors || [];
return errors.some((err) =>
K8S_EVENT_KEYS.some((key) =>
err.message?.includes(`key \`${key}\` not found`),
),
);
}
export interface EntityEventsQueryParams {
start: number;
end: number;
expression: string;
offset?: number;
pageSize?: number;
}
function buildEntityEventsQueryData(
expression: string,
{
offset,
pageSize,
}: {
offset: number;
pageSize: number;
},
): IBuilderQuery {
return {
...initialQueryBuilderFormValuesMap.logs,
queryName: 'A',
dataSource: DataSource.LOGS,
aggregateOperator: LogsAggregatorOperator.NOOP,
aggregateAttribute: {
id: '------false',
dataType: DataTypes.String,
key: '',
type: '',
},
timeAggregation: 'rate',
spaceAggregation: 'sum',
functions: [],
aggregations: [],
filter: { expression },
expression,
having: {
expression: '',
},
disabled: false,
stepInterval: 60,
limit: null,
orderBy: [
{
columnName: 'timestamp',
order: 'desc',
},
{
columnName: 'id',
order: 'desc',
},
],
groupBy: [],
legend: '',
reduceTo: ReduceOperators.AVG,
offset,
pageSize,
};
}
const DEFAULT_PAGE_SIZE = 10;
export function getEntityEventsQueryPayload({
start,
end,
expression,
offset = 0,
pageSize = DEFAULT_PAGE_SIZE,
}: EntityEventsQueryParams): {
query: GetQueryResultsProps;
queryData: IBuilderQuery;
} {
const queryData = buildEntityEventsQueryData(expression, { offset, pageSize });
return {
query: {
graphType: PANEL_TYPES.LIST,
selectedTime: 'GLOBAL_TIME',
query: {
clickhouse_sql: [],
promql: [],
builder: {
queryData: [queryData],
queryFormulas: [],
queryTraceOperator: [],
},
id: uuidv4(),
queryType: EQueryType.QUERY_BUILDER,
},
start,
end,
},
queryData,
};
}

View File

@@ -1,109 +0,0 @@
.container {
margin-top: 1rem;
}
.filterContainer {
display: flex;
flex-direction: column;
gap: 8px;
padding: var(--spacing-6);
border-radius: var(--radius);
border: 1px solid var(--l1-border);
:global(.ant-select-selector) {
border-radius: 2px;
border: 1px solid var(--l1-border) !important;
background-color: var(--l3-background) !important;
input {
font-size: 12px;
}
:global([data-slot='badge'] .ant-typography) {
font-size: 12px;
}
}
}
.filterContainerTime {
display: flex;
justify-content: flex-end;
align-items: center;
gap: 8px;
}
.filterQuerySearch {
flex: 1;
}
.logs {
border: 1px solid var(--border);
margin-top: 1rem;
:global(.virtuoso-list) {
overflow-y: hidden !important;
&::-webkit-scrollbar {
width: 0.3rem;
height: 0.3rem;
}
&::-webkit-scrollbar-track {
background: transparent;
}
&::-webkit-scrollbar-thumb {
background: var(--primary);
}
&::-webkit-scrollbar-thumb:hover {
background: var(--primary);
}
:global(.ant-row) {
width: fit-content;
}
}
.skeletonContainer {
height: 100%;
padding: 16px;
}
}
.listContainer {
flex: 1;
height: calc(100vh - 312px) !important;
display: flex;
height: 100%;
:global(.raw-log-content) {
width: 100%;
text-wrap: inherit;
word-wrap: break-word;
}
}
.listCard {
width: 100%;
margin-top: 12px;
:global(.ant-card-body) {
padding: 0;
height: 100%;
width: 100%;
}
}
.logsLoadingSkeleton {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
gap: 8px;
padding: 8px 0;
:global(.ant-skeleton-input-sm) {
height: 18px;
}
}

View File

@@ -1,357 +0,0 @@
import React, { useCallback, useMemo, useRef } from 'react';
import { Virtuoso, VirtuosoHandle } from 'react-virtuoso';
import { Card } from 'antd';
import logEvent from 'api/common/logEvent';
import LogDetail from 'components/LogDetail';
import RawLogView from 'components/Logs/RawLogView';
import OverlayScrollbar from 'components/OverlayScrollbar/OverlayScrollbar';
import {
QuerySearchV2Provider,
useExpression,
useInitialExpression,
useInputExpression,
useQuerySearchInitialExpressionProp,
useQuerySearchOnChange,
useQuerySearchOnRun,
useUserExpression,
} from 'components/QueryBuilderV2';
import QuerySearch from 'components/QueryBuilderV2/QueryV2/QuerySearch/QuerySearch';
import {
combineInitialAndUserExpression,
getUserExpressionFromCombined,
} from 'components/QueryBuilderV2/QueryV2/QuerySearch/utils';
import { InfraMonitoringEvents } from 'constants/events';
import { QueryParams } from 'constants/query';
import { initialQueriesMap, PANEL_TYPES } from 'constants/queryBuilder';
import ROUTES from 'constants/routes';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import { LogsLoading } from 'container/LogsLoading/LogsLoading';
import { FontSize } from 'container/OptionsMenu/types';
import RunQueryBtn from 'container/QueryBuilder/components/RunQueryBtn/RunQueryBtn';
import DateTimeSelectionV2 from 'container/TopNav/DateTimeSelectionV2';
import {
CustomTimeType,
Time,
} from 'container/TopNav/DateTimeSelectionV2/types';
import { getOldLogsOperatorFromNew } from 'hooks/logs/useActiveLog';
import useLogDetailHandlers from 'hooks/logs/useLogDetailHandlers';
import useScrollToLog from 'hooks/logs/useScrollToLog';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { useSafeNavigate } from 'hooks/useSafeNavigate';
import createQueryParams from 'lib/createQueryParams';
import { generateFilterQuery } from 'lib/logs/generateFilterQuery';
import { ILog } from 'types/api/logs/log';
import { Query } from 'types/api/queryBuilder/queryBuilderData';
import { DataSource } from 'types/common/queryBuilder';
import { isModifierKeyPressed } from 'utils/app';
import { validateQuery } from 'utils/queryValidationUtils';
import EntityEmptyState from '../EntityEmptyState/EntityEmptyState';
import EntityError from '../EntityError/EntityError';
import { isKeyNotFoundError } from '../utils';
import { K8S_ENTITY_LOGS_EXPRESSION_KEY, useInfiniteEntityLogs } from './hooks';
import { getEntityLogsQueryPayload } from './utils';
import styles from './EntityLogs.module.scss';
interface Props {
timeRange: {
startTime: number;
endTime: number;
};
isModalTimeSelection: boolean;
handleTimeChange: (
interval: Time | CustomTimeType,
dateTimeRange?: [number, number],
) => void;
selectedInterval: Time;
queryKey: string;
category: InfraMonitoringEntity;
initialExpression: string;
}
function EntityLogsContent({
timeRange,
isModalTimeSelection,
handleTimeChange,
selectedInterval,
queryKey,
category,
}: Omit<Props, 'initialExpression'>): JSX.Element {
const virtuosoRef = useRef<VirtuosoHandle>(null);
const expression = useExpression();
const inputExpression = useInputExpression();
const userExpression = useUserExpression();
const initialExpression = useInitialExpression();
const querySearchOnChange = useQuerySearchOnChange();
const querySearchOnRun = useQuerySearchOnRun();
const querySearchInitialExpressionProp = useQuerySearchInitialExpressionProp();
const { activeLog, selectedTab, handleSetActiveLog, handleCloseLogDetail } =
useLogDetailHandlers();
const onAddToQuery = useCallback(
(fieldKey: string, fieldValue: string, operator: string): void => {
handleCloseLogDetail();
const partExpression = generateFilterQuery({
fieldKey,
fieldValue,
type: getOldLogsOperatorFromNew(operator),
});
const currentUser = userExpression;
const newUser = currentUser.trim()
? `${currentUser} AND ${partExpression}`
: partExpression;
querySearchOnRun(newUser);
},
[userExpression, querySearchOnRun, handleCloseLogDetail],
);
const {
logs,
loadMoreLogs,
hasNextPage,
isFetchingNextPage,
isLoading,
isFetching,
isError,
error,
refetch,
cancel,
} = useInfiniteEntityLogs({
queryKey,
timeRange,
expression,
});
const handleRunQuery = useCallback(
(updatedExpression?: string): void => {
const newUserExpression = updatedExpression
? getUserExpressionFromCombined(initialExpression, updatedExpression)
: inputExpression;
const validation = validateQuery(
initialExpression
? combineInitialAndUserExpression(initialExpression, newUserExpression)
: newUserExpression || '',
);
if (validation.isValid) {
querySearchOnRun(newUserExpression);
void logEvent(InfraMonitoringEvents.FilterApplied, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category,
view: InfraMonitoringEvents.LogsView,
});
refetch();
}
},
[inputExpression, initialExpression, refetch, querySearchOnRun, category],
);
const queryData = useMemo(
() =>
getEntityLogsQueryPayload({
start: timeRange.startTime,
end: timeRange.endTime,
expression: userExpression,
}).queryData,
[timeRange.startTime, timeRange.endTime, userExpression],
);
const handleScrollToLog = useScrollToLog({
logs,
virtuosoRef,
});
const { updateAllQueriesOperators } = useQueryBuilder();
const { safeNavigate } = useSafeNavigate();
const handleOpenInExplorer = useCallback(
(e: React.MouseEvent<Element, MouseEvent>, log: ILog) => {
const baseQuery = updateAllQueriesOperators(
initialQueriesMap[DataSource.LOGS],
PANEL_TYPES.LIST,
DataSource.LOGS,
);
const queryParams = {
[QueryParams.activeLogId]: `"${log?.id}"`,
[QueryParams.startTime]: timeRange.startTime.toString(),
[QueryParams.endTime]: timeRange.endTime.toString(),
[QueryParams.compositeQuery]: JSON.stringify({
...baseQuery,
builder: {
...baseQuery.builder,
queryData: baseQuery.builder.queryData.map((item) => ({
...item,
filter: { expression },
})),
},
} satisfies Query),
};
safeNavigate(`${ROUTES.LOGS_EXPLORER}?${createQueryParams(queryParams)}`, {
newTab: !!e && isModifierKeyPressed(e),
});
},
[
timeRange.startTime,
timeRange.endTime,
expression,
safeNavigate,
updateAllQueriesOperators,
],
);
const getItemContent = useCallback(
(_: number, logToRender: ILog): JSX.Element => {
return (
<div key={logToRender.id}>
<RawLogView
isTextOverflowEllipsisDisabled
data={logToRender}
linesPerRow={5}
fontSize={FontSize.MEDIUM}
selectedFields={[
{
dataType: 'string',
type: '',
name: 'body',
},
{
dataType: 'string',
type: '',
name: 'timestamp',
},
]}
onSetActiveLog={handleSetActiveLog}
onClearActiveLog={handleCloseLogDetail}
isActiveLog={activeLog?.id === logToRender.id}
/>
</div>
);
},
[activeLog, handleSetActiveLog, handleCloseLogDetail],
);
const renderFooter = useCallback(
(): JSX.Element | null => (
<>
{isFetchingNextPage ? (
<div className={styles.logsLoadingSkeleton}> Loading more logs ... </div>
) : !hasNextPage && logs.length > 0 ? (
<div className={styles.logsLoadingSkeleton}> *** End *** </div>
) : null}
</>
),
[isFetchingNextPage, hasNextPage, logs.length],
);
const renderContent = useMemo(
() => (
<Card bordered={false} className={styles.listCard}>
<OverlayScrollbar isVirtuoso>
<Virtuoso
key="entity-logs-virtuoso"
ref={virtuosoRef}
data={logs}
endReached={loadMoreLogs}
totalCount={logs.length}
itemContent={getItemContent}
overscan={200}
components={{
Footer: renderFooter,
}}
/>
</OverlayScrollbar>
</Card>
),
[logs, loadMoreLogs, getItemContent, renderFooter],
);
const showInitialLoading = isLoading || (isFetching && logs.length === 0);
const isKeyNotFound = isKeyNotFoundError(error);
const isDataEmpty =
!showInitialLoading && (!isError || isKeyNotFound) && logs.length === 0;
const hasAdditionalFilters = !!userExpression?.trim();
return (
<div className={styles.container}>
<div className={styles.filterContainer}>
<div className={styles.filterContainerTime}>
<DateTimeSelectionV2
showAutoRefresh
showRefreshText={false}
hideShareModal
isModalTimeSelection={isModalTimeSelection}
onTimeChange={handleTimeChange}
defaultRelativeTime="5m"
modalSelectedInterval={selectedInterval}
modalInitialStartTime={timeRange.startTime * 1000}
modalInitialEndTime={timeRange.endTime * 1000}
/>
<RunQueryBtn
isLoadingQueries={isFetching}
onStageRunQuery={(): void => handleRunQuery()}
handleCancelQuery={cancel}
/>
</div>
<div className={styles.filterQuerySearch}>
<QuerySearch
onChange={querySearchOnChange}
queryData={queryData}
dataSource={DataSource.LOGS}
onRun={handleRunQuery}
initialExpression={querySearchInitialExpressionProp}
/>
</div>
</div>
<div className={styles.logs}>
{showInitialLoading && <LogsLoading />}
{isDataEmpty && <EntityEmptyState hasFilters={hasAdditionalFilters} />}
{isError && !isKeyNotFound && !showInitialLoading && <EntityError />}
{!showInitialLoading && (!isError || isKeyNotFound) && logs.length > 0 && (
<div className={styles.listContainer} data-log-detail-ignore="true">
{renderContent}
</div>
)}
{selectedTab && activeLog && (
<LogDetail
log={activeLog}
onClose={handleCloseLogDetail}
logs={logs}
onNavigateLog={handleSetActiveLog}
selectedTab={selectedTab}
onAddToQuery={onAddToQuery}
onClickActionItem={onAddToQuery}
onScrollToLog={handleScrollToLog}
handleOpenInExplorer={(e): void => handleOpenInExplorer(e, activeLog)}
/>
)}
</div>
</div>
);
}
function EntityLogs({ initialExpression, ...rest }: Props): JSX.Element {
return (
<QuerySearchV2Provider
queryParamKey={K8S_ENTITY_LOGS_EXPRESSION_KEY}
initialExpression={initialExpression}
persistOnUnmount
>
<EntityLogsContent {...rest} />
</QuerySearchV2Provider>
);
}
export default EntityLogs;

View File

@@ -1,185 +0,0 @@
import { VirtuosoMockContext } from 'react-virtuoso';
import { mockQueryRangeV5WithLogsResponse } from '__tests__/query_range_v5.util';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import { NuqsTestingAdapter } from 'nuqs/adapters/testing';
import {
act,
fireEvent,
render,
RenderResult,
screen,
waitFor,
} from 'tests/test-utils';
import { QueryRangePayloadV5 } from 'types/api/v5/queryRange';
import EntityLogs from '../EntityLogs';
import { K8S_ENTITY_LOGS_EXPRESSION_KEY } from '../hooks';
function verifyEntityLogsV5Request({
payload,
expectedOffset,
initialTimeRange,
}: {
payload: QueryRangePayloadV5;
expectedOffset: number;
initialTimeRange?: { start: number; end: number };
}): void {
const spec = payload.compositeQuery.queries[0]?.spec as {
offset?: number;
order?: Array<{ key: { name: string }; direction: string }>;
};
expect(spec.offset).toBe(expectedOffset);
if (initialTimeRange) {
expect(payload.start).toBe(initialTimeRange.start);
expect(payload.end).toBe(initialTimeRange.end);
}
const orderKeys = spec.order?.map((o) => o.key.name) ?? [];
expect(orderKeys).toContain('timestamp');
expect(orderKeys).toContain('id');
}
jest.mock(
'components/OverlayScrollbar/OverlayScrollbar',
() =>
function MockOverlayScrollbar({
children,
}: {
children: React.ReactNode;
}): JSX.Element {
return <div>{children}</div>;
},
);
jest.mock('container/TopNav/DateTimeSelectionV2/index.tsx', () => ({
__esModule: true,
default: ({
onTimeChange,
}: {
onTimeChange?: (interval: string, dateTimeRange?: [number, number]) => void;
}): JSX.Element => (
<button
type="button"
data-testid="mock-datetime-selection"
onClick={(): void => {
onTimeChange?.('5m');
}}
>
Select Time
</button>
),
}));
describe('EntityLogs', () => {
let capturedQueryRangePayloads: QueryRangePayloadV5[] = [];
const itemHeight = 100;
beforeEach(() => {
capturedQueryRangePayloads = [];
mockQueryRangeV5WithLogsResponse({
onReceiveRequest: async (req) => {
const body = (await req.json()) as QueryRangePayloadV5;
capturedQueryRangePayloads.push(body);
return {};
},
});
});
it('should check if k8s logs pagination flows work properly', async () => {
let renderResult: RenderResult;
let scrollableElement: HTMLElement;
act(() => {
renderResult = render(
<NuqsTestingAdapter
searchParams={`${K8S_ENTITY_LOGS_EXPRESSION_KEY}=k8s.pod.name+%3D+%22x%22`}
>
<VirtuosoMockContext.Provider value={{ viewportHeight: 500, itemHeight }}>
<EntityLogs
timeRange={{ startTime: 1, endTime: 2 }}
isModalTimeSelection={false}
handleTimeChange={jest.fn()}
selectedInterval="5m"
queryKey="test"
category={InfraMonitoringEntity.PODS}
initialExpression='k8s.pod.name = "x"'
/>
</VirtuosoMockContext.Provider>
</NuqsTestingAdapter>,
);
});
await waitFor(() => {
expect(
screen.queryByText('pending_data_placeholder'),
).not.toBeInTheDocument();
});
await waitFor(() => {
expect(capturedQueryRangePayloads).toHaveLength(1);
});
await waitFor(async () => {
scrollableElement = renderResult.container.querySelector(
'[data-test-id="virtuoso-scroller"]',
) as HTMLElement;
expect(scrollableElement).not.toBeNull();
if (scrollableElement) {
scrollableElement.scrollTop = 99 * itemHeight;
act(() => {
fireEvent.scroll(scrollableElement);
});
}
});
await waitFor(() => {
expect(capturedQueryRangePayloads).toHaveLength(2);
});
const firstPayload = capturedQueryRangePayloads[0];
verifyEntityLogsV5Request({
payload: firstPayload,
expectedOffset: 0,
});
const initialTimeRange = {
start: firstPayload.start,
end: firstPayload.end,
};
const secondPayload = capturedQueryRangePayloads[1];
verifyEntityLogsV5Request({
payload: secondPayload,
expectedOffset: 100,
initialTimeRange,
});
await waitFor(async () => {
scrollableElement = renderResult.container.querySelector(
'[data-test-id="virtuoso-scroller"]',
) as HTMLElement;
expect(scrollableElement).not.toBeNull();
if (scrollableElement) {
scrollableElement.scrollTop = 199 * itemHeight;
act(() => {
fireEvent.scroll(scrollableElement);
});
}
});
await waitFor(() => {
expect(capturedQueryRangePayloads.length).toBeGreaterThanOrEqual(3);
});
const thirdPayload = capturedQueryRangePayloads[2];
verifyEntityLogsV5Request({
payload: thirdPayload,
expectedOffset: 200,
initialTimeRange,
});
});
});

View File

@@ -1,186 +0,0 @@
import { QueryClient, QueryClientProvider } from 'react-query';
import { act, renderHook, waitFor } from '@testing-library/react';
import {
mockQueryRangeV5WithError,
mockQueryRangeV5WithLogsResponse,
} from '../../../../../__tests__/query_range_v5.util';
import { useInfiniteEntityLogs } from '../hooks';
const createWrapper = (): React.FC<{ children: React.ReactNode }> => {
const queryClient = new QueryClient({
defaultOptions: {
queries: {
retry: false,
},
},
});
return function Wrapper({
children,
}: {
children: React.ReactNode;
}): JSX.Element {
return (
<QueryClientProvider client={queryClient}>{children}</QueryClientProvider>
);
};
};
describe('useInfiniteEntityLogs', () => {
const defaultParams = {
queryKey: 'entityLogsTest',
timeRange: { startTime: 1708000000, endTime: 1708003600 },
expression: 'k8s.pod.name = "test"',
};
describe('initial state', () => {
it('should return initial loading state', () => {
mockQueryRangeV5WithLogsResponse({
delay: 100,
});
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
expect(result.current.isLoading).toBe(true);
expect(result.current.logs).toStrictEqual([]);
});
});
describe('successful data fetching', () => {
it('should return logs after successful fetch', async () => {
mockQueryRangeV5WithLogsResponse({
pageSize: 5,
hasMore: true,
});
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(result.current.isLoading).toBe(false);
});
expect(result.current.error).toBeFalsy();
expect(result.current.logs).toHaveLength(5);
expect(result.current.isError).toBe(false);
});
it('should set hasNextPage based on response size', async () => {
mockQueryRangeV5WithLogsResponse({
pageSize: 100,
hasMore: true,
});
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(result.current.isLoading).toBe(false);
});
expect(result.current.hasNextPage).toBe(true);
});
it('should not have next page when response is smaller than page size', async () => {
mockQueryRangeV5WithLogsResponse({
pageSize: 100,
hasMore: false,
});
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(result.current.isLoading).toBe(false);
});
expect(result.current.hasNextPage).toBe(false);
});
});
describe('empty state', () => {
it('should return empty logs array when no data', async () => {
mockQueryRangeV5WithLogsResponse({
pageSize: 0,
hasMore: false,
});
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(result.current.isLoading).toBe(false);
});
expect(result.current.logs).toStrictEqual([]);
expect(result.current.hasNextPage).toBe(false);
});
});
describe('error handling', () => {
it('should set isError on API failure', async () => {
mockQueryRangeV5WithError('Internal Server Error');
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(result.current.isError).toBe(true);
});
expect(result.current.logs).toStrictEqual([]);
});
});
describe('load more functionality', () => {
it('should fetch next page when loadMoreLogs is called', async () => {
const requestCount = { count: 0 };
mockQueryRangeV5WithLogsResponse({
pageSize: 100,
offset: 0,
hasMore: true,
onReceiveRequest: () => {
requestCount.count += 1;
if (requestCount.count > 1) {
return { offset: 100, pageSize: 100, hasMore: false };
}
return undefined;
},
});
const { result } = renderHook(() => useInfiniteEntityLogs(defaultParams), {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(result.current.isLoading).toBe(false);
});
expect(result.current.logs).toHaveLength(100);
expect(result.current.hasNextPage).toBe(true);
expect(requestCount.count).toBe(1);
act(() => {
result.current.loadMoreLogs();
});
await waitFor(() => {
expect(result.current.logs).toHaveLength(150);
});
expect(result.current.hasNextPage).toBe(false);
expect(requestCount.count).toBe(2);
});
});
});

View File

@@ -1,126 +0,0 @@
import { useCallback, useMemo } from 'react';
import { useInfiniteQuery, useQueryClient } from 'react-query';
import { ENTITY_VERSION_V5 } from 'constants/app';
import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
import { DEFAULT_PER_PAGE_VALUE } from 'container/Controls/config';
import { GetMetricQueryRange } from 'lib/dashboard/getQueryResults';
import { ILog } from 'types/api/logs/log';
import { getEntityLogsQueryPayload } from './utils';
export const K8S_ENTITY_LOGS_EXPRESSION_KEY = 'k8sEntityLogsExpression';
export function useInfiniteEntityLogs({
queryKey,
timeRange,
expression,
}: {
queryKey: string;
timeRange: { startTime: number; endTime: number };
expression: string;
}): {
logs: ILog[];
isLoading: boolean;
isFetching: boolean;
isFetchingNextPage: boolean;
isError: boolean;
error?: unknown;
hasNextPage: boolean;
loadMoreLogs: () => void;
refetch: () => void;
cancel: () => void;
reactQueryKey: unknown[];
} {
const reactQueryKey = useMemo(
() => [
// TODO: remove AUTO_REFRESH_QUERY when migrating to date time selection v3
REACT_QUERY_KEY.AUTO_REFRESH_QUERY,
queryKey,
timeRange.startTime,
timeRange.endTime,
expression,
],
[queryKey, timeRange.startTime, timeRange.endTime, expression],
);
const {
data,
isLoading,
isFetching,
isFetchingNextPage,
isError,
error,
hasNextPage,
fetchNextPage,
refetch,
} = useInfiniteQuery({
queryKey: reactQueryKey,
queryFn: async ({ pageParam = 0, signal }) => {
const { query } = getEntityLogsQueryPayload({
start: timeRange.startTime,
end: timeRange.endTime,
expression,
offset: pageParam as number,
pageSize: DEFAULT_PER_PAGE_VALUE,
});
return GetMetricQueryRange(query, ENTITY_VERSION_V5, undefined, signal);
},
getNextPageParam: (lastPage, allPages) => {
const list = lastPage?.payload?.data?.newResult?.data?.result?.[0]?.list;
if (!list || list.length < DEFAULT_PER_PAGE_VALUE) {
return;
}
return allPages.length * DEFAULT_PER_PAGE_VALUE;
},
enabled: !!expression?.trim(),
});
const logs = useMemo<ILog[]>(() => {
if (!data?.pages) {
return [];
}
return data.pages.flatMap((page) => {
const list = page.payload.data.newResult.data.result?.[0]?.list;
if (!list) {
return [];
}
return list.map(
(item) =>
({
...item.data,
timestamp: item.timestamp,
}) as ILog,
);
});
}, [data?.pages]);
const loadMoreLogs = useCallback(() => {
if (hasNextPage && !isFetchingNextPage) {
void fetchNextPage();
}
}, [hasNextPage, isFetchingNextPage, fetchNextPage]);
const queryClient = useQueryClient();
const cancel = useCallback(() => {
void queryClient.cancelQueries({
queryKey: reactQueryKey,
});
}, [queryClient, reactQueryKey]);
return {
logs,
isLoading,
isFetching,
isFetchingNextPage,
isError,
error,
hasNextPage: !!hasNextPage,
loadMoreLogs,
refetch,
cancel,
reactQueryKey,
};
}

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@@ -1,3 +0,0 @@
import EntityLogs from './EntityLogs';
export default EntityLogs;

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@@ -1,108 +0,0 @@
import {
initialQueryBuilderFormValuesMap,
PANEL_TYPES,
} from 'constants/queryBuilder';
import { DEFAULT_PER_PAGE_VALUE } from 'container/Controls/config';
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
import { EQueryType } from 'types/common/dashboard';
import {
DataSource,
LogsAggregatorOperator,
ReduceOperators,
} from 'types/common/queryBuilder';
import { v4 as uuidv4 } from 'uuid';
export interface EntityLogsQueryParams {
start: number;
end: number;
expression: string;
offset?: number;
pageSize?: number;
}
function buildEntityLogsQueryData(
expression: string,
{
offset,
pageSize,
}: {
offset: number;
pageSize: number;
},
): IBuilderQuery {
return {
...initialQueryBuilderFormValuesMap.logs,
queryName: 'A',
dataSource: DataSource.LOGS,
aggregateOperator: LogsAggregatorOperator.NOOP,
aggregateAttribute: {
id: '------false',
dataType: DataTypes.String,
key: '',
type: '',
},
timeAggregation: 'rate',
spaceAggregation: 'sum',
functions: [],
aggregations: [],
filter: { expression },
expression,
having: {
expression: '',
},
disabled: false,
stepInterval: 60,
limit: null,
orderBy: [
{
columnName: 'timestamp',
order: 'desc',
},
{
columnName: 'id',
order: 'desc',
},
],
groupBy: [],
legend: '',
reduceTo: ReduceOperators.AVG,
offset,
pageSize,
};
}
export function getEntityLogsQueryPayload({
start,
end,
expression,
offset = 0,
pageSize = DEFAULT_PER_PAGE_VALUE,
}: EntityLogsQueryParams): {
query: GetQueryResultsProps;
queryData: IBuilderQuery;
} {
const queryData = buildEntityLogsQueryData(expression, { offset, pageSize });
return {
query: {
graphType: PANEL_TYPES.LIST,
selectedTime: 'GLOBAL_TIME',
query: {
clickhouse_sql: [],
promql: [],
builder: {
queryData: [queryData],
queryFormulas: [],
queryTraceOperator: [],
},
id: uuidv4(),
queryType: EQueryType.QUERY_BUILDER,
},
start,
end,
},
queryData,
};
}

View File

@@ -1,52 +0,0 @@
.entityMetricsContainer {
display: flex;
flex-wrap: wrap;
margin-top: 1rem;
margin-left: -12px;
margin-right: -12px;
}
.entityMetricsCol {
flex: 0 0 50%;
max-width: 50%;
padding-left: 12px;
padding-right: 12px;
box-sizing: border-box;
}
.entityMetricsTitle {
font-size: var(--periscope-font-size-base);
color: var(--l2-foreground);
}
.metricsHeader {
display: flex;
justify-content: flex-end;
margin-top: 1rem;
gap: 8px;
padding: 12px;
border-radius: 3px;
border: 1px solid var(--l1-border);
}
.entityMetricsCard {
position: relative;
margin: 8px 0 1rem 0;
height: 300px;
padding: 10px;
border: 1px solid var(--l1-border);
border-radius: 3px;
.chartContainer {
width: 100%;
height: 100%;
}
.noDataContainer {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
}
}

View File

@@ -1,220 +0,0 @@
import { useCallback, useMemo, useRef } from 'react';
import { UseQueryResult } from 'react-query';
import { Skeleton } from 'antd';
import cx from 'classnames';
import { PANEL_TYPES } from 'constants/queryBuilder';
import TimeSeries from 'container/DashboardContainer/visualization/charts/TimeSeries/TimeSeries';
import { LegendPosition } from 'lib/uPlotV2/components/types';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import DateTimeSelectionV2 from 'container/TopNav/DateTimeSelectionV2';
import {
CustomTimeType,
Time,
} from 'container/TopNav/DateTimeSelectionV2/types';
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
import { useIsDarkMode } from 'hooks/useDarkMode';
import { useResizeObserver } from 'hooks/useDimensions';
import { useMultiIntersectionObserver } from 'hooks/useMultiIntersectionObserver';
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
import { useTimezone } from 'providers/Timezone';
import { SuccessResponse } from 'types/api';
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
import { buildEntityMetricsChartConfig } from './configBuilder';
import { useEntityMetrics } from './hooks';
import { isKeyNotFoundError } from '../utils';
import styles from './EntityMetrics.module.scss';
import { MetricsTable } from './MetricsTable';
import { DEFAULT_TIME_RANGE } from 'container/TopNav/DateTimeSelectionV2/constants';
interface EntityMetricsProps<T> {
timeRange: {
startTime: number;
endTime: number;
};
isModalTimeSelection: boolean;
handleTimeChange: (
interval: Time | CustomTimeType,
dateTimeRange?: [number, number],
) => void;
selectedInterval: Time;
entity: T;
entityWidgetInfo: {
title: string;
yAxisUnit: string;
}[];
getEntityQueryPayload: (
node: T,
start: number,
end: number,
dotMetricsEnabled: boolean,
) => GetQueryResultsProps[];
queryKey: string;
category: InfraMonitoringEntity;
}
function EntityMetrics<T>({
selectedInterval,
entity,
timeRange,
handleTimeChange,
isModalTimeSelection,
entityWidgetInfo,
getEntityQueryPayload,
queryKey,
category,
}: EntityMetricsProps<T>): JSX.Element {
const { visibilities, setElement } = useMultiIntersectionObserver(
entityWidgetInfo.length,
{ threshold: 0.1 },
);
const { queries, chartData, tableData, queryPayloads } = useEntityMetrics({
queryKey,
timeRange,
entity,
getEntityQueryPayload,
visibilities,
category,
});
const isDarkMode = useIsDarkMode();
const { timezone } = useTimezone();
const graphRef = useRef<HTMLDivElement>(null);
const dimensions = useResizeObserver(graphRef);
const { currentQuery } = useQueryBuilder();
const onDragSelect = useCallback(
(start: number, end: number): void => {
const startTimestamp = Math.trunc(start);
const endTimestamp = Math.trunc(end);
handleTimeChange('custom', [startTimestamp, endTimestamp]);
},
[handleTimeChange],
);
const configs = useMemo(
() =>
queries.map(({ data }, idx) => {
const panelType = queryPayloads[idx]?.graphType;
if (panelType === PANEL_TYPES.TABLE) {
return null;
}
const widgetTitle = entityWidgetInfo[idx].title
.toLowerCase()
.replace(/\s+/g, '-');
return buildEntityMetricsChartConfig({
id: `${category}-${widgetTitle}`,
isDarkMode,
currentQuery,
onDragSelect,
apiResponse: data?.payload,
timezone,
yAxisUnit: entityWidgetInfo[idx].yAxisUnit,
minTimeScale: timeRange.startTime,
maxTimeScale: timeRange.endTime,
});
}),
[
queries,
queryPayloads,
category,
isDarkMode,
currentQuery,
onDragSelect,
timezone,
entityWidgetInfo,
timeRange.startTime,
timeRange.endTime,
],
);
const renderCardContent = (
query: UseQueryResult<SuccessResponse<MetricRangePayloadProps>, unknown>,
idx: number,
): JSX.Element => {
if (
(!query.data && query.isLoading) ||
query.isFetching ||
!visibilities[idx]
) {
return <Skeleton />;
}
if (query.error && !isKeyNotFoundError(query.error)) {
const errorMessage =
(query.error as Error)?.message || 'Something went wrong';
return <div>{errorMessage}</div>;
}
const panelType = queryPayloads[idx]?.graphType;
return (
<div
className={cx(styles.chartContainer, {
[styles.noDataContainer]:
!query.isLoading && !query?.data?.payload?.data?.result?.length,
})}
>
{panelType === PANEL_TYPES.TABLE ? (
<MetricsTable
rows={tableData[idx]?.[0]?.rows ?? []}
columns={tableData[idx]?.[0]?.columns ?? []}
/>
) : (
configs[idx] &&
chartData[idx] && (
<TimeSeries
config={configs[idx]}
data={chartData[idx]}
legendConfig={{ position: LegendPosition.BOTTOM }}
width={dimensions.width}
height={dimensions.height}
timezone={timezone}
yAxisUnit={entityWidgetInfo[idx].yAxisUnit}
/>
)
)}
</div>
);
};
return (
<>
<div className={styles.metricsHeader}>
<DateTimeSelectionV2
showAutoRefresh
showRefreshText={false}
hideShareModal
onTimeChange={handleTimeChange}
defaultRelativeTime={DEFAULT_TIME_RANGE}
isModalTimeSelection={isModalTimeSelection}
modalSelectedInterval={selectedInterval}
modalInitialStartTime={timeRange.startTime * 1000}
modalInitialEndTime={timeRange.endTime * 1000}
/>
</div>
<div className={styles.entityMetricsContainer}>
{queries.map((query, idx) => (
<div
ref={setElement(idx)}
key={entityWidgetInfo[idx].title}
className={styles.entityMetricsCol}
>
<span className={styles.entityMetricsTitle}>
{entityWidgetInfo[idx].title}
</span>
<div className={styles.entityMetricsCard} ref={graphRef}>
{renderCardContent(query, idx)}
</div>
</div>
))}
</div>
</>
);
}
export default EntityMetrics;

View File

@@ -1,7 +0,0 @@
.table {
height: 100%;
}
.paginationContainer {
margin: 0;
}

View File

@@ -1,99 +0,0 @@
import { useCallback, useMemo, useState } from 'react';
import TanStackTable, { TableColumnDef } from 'components/TanStackTableView';
import { SortState } from 'components/TanStackTableView/types';
import styles from './MetricsTable.module.scss';
import { MetricsColumn } from './utils';
interface MetricsTableProps {
rows: Record<string, string>[];
columns: MetricsColumn[];
}
const DEFAULT_PAGE = 1;
const DEFAULT_LIMIT = 7; // the sweetspot for the amount of items without showing the scrollbar
export function MetricsTable({
rows,
columns,
}: MetricsTableProps): JSX.Element {
const [page, setPage] = useState(DEFAULT_PAGE);
const [limit, setLimit] = useState(DEFAULT_LIMIT);
const [orderBy, setOrderBy] = useState<SortState | null>(null);
const sortedRows = useMemo(() => {
if (!orderBy) {
return rows;
}
const { columnName, order } = orderBy;
return [...rows].sort((a, b) => {
const aVal = parseFloat(a[columnName]) || 0;
const bVal = parseFloat(b[columnName]) || 0;
return order === 'asc' ? aVal - bVal : bVal - aVal;
});
}, [rows, orderBy]);
const paginatedRows = useMemo(() => {
const startIndex = (page - 1) * limit;
return sortedRows.slice(startIndex, startIndex + limit);
}, [sortedRows, page, limit]);
const handlePageChange = useCallback((newPage: number) => {
setPage(newPage);
}, []);
const handleLimitChange = useCallback((newLimit: number) => {
setLimit(newLimit);
setPage(DEFAULT_PAGE);
}, []);
const columnDefs = useMemo(
() =>
columns.map(
(col, index) =>
({
id: col.key,
accessorKey: col.key as keyof Record<string, string>,
header: (): JSX.Element => (
<TanStackTable.Text title={col.label}>{col.label}</TanStackTable.Text>
),
cell: ({ value }): JSX.Element => {
const displayValue = String(value ?? '');
return (
<TanStackTable.Text title={displayValue}>
{displayValue}
</TanStackTable.Text>
);
},
enableMove: false,
enableResize: false,
enableRemove: false,
enableSort: col.isValueColumn,
width: {
min: index === 0 ? 220 : Math.max(col.label?.length * 12, 80) || 100,
},
}) satisfies TableColumnDef<Record<string, string>>,
),
[columns],
);
return (
<TanStackTable<Record<string, string>>
className={styles.table}
data={paginatedRows}
columns={columnDefs}
onSort={setOrderBy}
pagination={{
total: rows.length,
defaultPage: page,
defaultLimit: limit,
onPageChange: handlePageChange,
onLimitChange: handleLimitChange,
showPageSize: false,
}}
paginationClassname={styles.paginationContainer}
getRowKey={(row) => row.key}
getItemKey={(row) => row.key}
/>
);
}

View File

@@ -1,456 +0,0 @@
import { render, screen } from '@testing-library/react';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import { Time } from 'container/TopNav/DateTimeSelectionV2/types';
import * as appContextHooks from 'providers/App/App';
import { LicenseEvent } from 'types/api/licensesV3/getActive';
import uPlot from 'uplot';
import EntityMetrics from '../EntityMetrics';
import { useEntityMetrics } from '../hooks';
jest.mock('../hooks', () => ({
useEntityMetrics: jest.fn(),
}));
const mockUseEntityMetrics = useEntityMetrics as jest.MockedFunction<
typeof useEntityMetrics
>;
jest.mock('../configBuilder', () => ({
buildEntityMetricsChartConfig: jest.fn().mockReturnValue({
getId: jest.fn().mockReturnValue('mock-id'),
}),
}));
jest.mock('lib/uPlotV2/utils/dataUtils', () => ({
prepareChartData: jest.fn().mockReturnValue([]),
hasSingleVisiblePoint: jest.fn().mockReturnValue(false),
}));
jest.mock('container/TopNav/DateTimeSelectionV2', () => ({
__esModule: true,
default: (): JSX.Element => (
<div data-testid="date-time-selection">Date Time</div>
),
}));
jest.mock(
'container/DashboardContainer/visualization/charts/TimeSeries/TimeSeries',
() => ({
__esModule: true,
default: (): JSX.Element => (
<div data-testid="uplot-chart">TimeSeries Chart</div>
),
}),
);
jest.mock('providers/Timezone', () => ({
useTimezone: (): { timezone: { value: string } } => ({
timezone: { value: 'UTC' },
}),
}));
jest.mock('../MetricsTable', () => ({
__esModule: true,
MetricsTable: jest
.fn()
.mockImplementation(
(): JSX.Element => <div data-testid="metrics-table">Metrics Table</div>,
),
}));
const mockUseQuery = jest.fn();
jest.mock('react-query', () => ({
...jest.requireActual('react-query'),
useQuery: (config: any): any => mockUseQuery(config),
}));
jest.mock('hooks/useDarkMode', () => ({
useIsDarkMode: (): boolean => false,
}));
jest.mock('hooks/useDimensions', () => ({
useResizeObserver: (): { width: number; height: number } => ({
width: 800,
height: 600,
}),
}));
jest.mock('hooks/useMultiIntersectionObserver', () => ({
useMultiIntersectionObserver: (count: number): any => ({
visibilities: new Array(count).fill(true),
setElement: jest.fn(),
}),
}));
jest.spyOn(appContextHooks, 'useAppContext').mockReturnValue({
user: {
role: 'admin',
},
activeLicenseV3: {
event_queue: {
created_at: '0',
event: LicenseEvent.NO_EVENT,
scheduled_at: '0',
status: '',
updated_at: '0',
},
license: {
license_key: 'test-license-key',
license_type: 'trial',
org_id: 'test-org-id',
plan_id: 'test-plan-id',
plan_name: 'test-plan-name',
plan_type: 'trial',
plan_version: 'test-plan-version',
},
},
featureFlags: [
{
name: 'DOT_METRICS_ENABLED',
active: false,
},
],
} as any);
const mockEntity = {
id: 'test-entity-1',
name: 'test-entity',
type: 'pod',
};
const mockEntityWidgetInfo = [
{
title: 'CPU Usage',
yAxisUnit: 'percentage',
},
{
title: 'Memory Usage',
yAxisUnit: 'bytes',
},
];
const mockGetEntityQueryPayload = jest.fn().mockReturnValue([
{
query: 'cpu_usage',
start: 1705315200,
end: 1705318800,
},
{
query: 'memory_usage',
start: 1705315200,
end: 1705318800,
},
]);
const mockTimeRange = {
startTime: 1705315200,
endTime: 1705318800,
};
const mockHandleTimeChange = jest.fn();
const mockQueries = [
{
data: {
payload: {
data: {
result: [
{
table: {
rows: [
{ data: { timestamp: '2024-01-15T10:00:00Z', value: '42.5' } },
{ data: { timestamp: '2024-01-15T10:01:00Z', value: '43.2' } },
],
columns: [
{ key: 'timestamp', label: 'Timestamp', isValueColumn: false },
{ key: 'value', label: 'Value', isValueColumn: true },
],
},
},
],
},
},
params: {
compositeQuery: {
panelType: 'time_series',
},
},
},
isLoading: false,
isError: false,
error: null,
},
{
data: {
payload: {
data: {
result: [
{
table: {
rows: [
{ data: { timestamp: '2024-01-15T10:00:00Z', value: '1024' } },
{ data: { timestamp: '2024-01-15T10:01:00Z', value: '1028' } },
],
columns: [
{ key: 'timestamp', label: 'Timestamp', isValueColumn: false },
{ key: 'value', label: 'Value', isValueColumn: true },
],
},
},
],
},
},
params: {
compositeQuery: {
panelType: 'table',
},
},
},
isLoading: false,
isError: false,
error: null,
},
];
const mockLoadingQueries = [
{
data: undefined,
isLoading: true,
isError: false,
error: null,
},
{
data: undefined,
isLoading: true,
isError: false,
error: null,
},
];
const mockErrorQueries = [
{
data: undefined,
isLoading: false,
isError: true,
error: new Error('API Error'),
},
{
data: undefined,
isLoading: false,
isError: true,
error: new Error('Network Error'),
},
];
const mockEmptyQueries = [
{
data: {
payload: {
data: {
result: [],
},
},
params: {
compositeQuery: {
panelType: 'time_series',
},
},
},
isLoading: false,
isError: false,
error: null,
},
{
data: {
payload: {
data: {
result: [],
},
},
params: {
compositeQuery: {
panelType: 'table',
},
},
},
isLoading: false,
isError: false,
error: null,
},
];
const renderEntityMetrics = (overrides = {}): any => {
const defaultProps = {
timeRange: mockTimeRange,
isModalTimeSelection: false,
handleTimeChange: mockHandleTimeChange,
selectedInterval: '5m' as Time,
entity: mockEntity,
entityWidgetInfo: mockEntityWidgetInfo,
getEntityQueryPayload: mockGetEntityQueryPayload,
queryKey: 'test-query-key',
category: InfraMonitoringEntity.PODS,
...overrides,
};
return render(
<EntityMetrics
timeRange={defaultProps.timeRange}
isModalTimeSelection={defaultProps.isModalTimeSelection}
handleTimeChange={defaultProps.handleTimeChange}
selectedInterval={defaultProps.selectedInterval}
entity={defaultProps.entity}
entityWidgetInfo={defaultProps.entityWidgetInfo}
getEntityQueryPayload={defaultProps.getEntityQueryPayload}
queryKey={defaultProps.queryKey}
category={defaultProps.category}
/>,
);
};
const mockChartData: (uPlot.AlignedData | null)[] = [
[
[1705315200, 1705318800],
[42.5, 43.2],
], // time_series chart data (AlignedData)
null, // table uses tableData
];
const mockTableData: (import('../utils').MetricsTableData[] | null)[] = [
null, // time_series uses chartData
[
{
rows: [
{ timestamp: '2024-01-15T10:00:00Z', value: '1024' },
{ timestamp: '2024-01-15T10:01:00Z', value: '1028' },
],
columns: [
{ key: 'timestamp', label: 'Timestamp', isValueColumn: false },
{ key: 'value', label: 'Value', isValueColumn: true },
],
},
], // table data
];
const mockQueryPayloads = [
{ graphType: 'graph' }, // time_series
{ graphType: 'table' }, // table
];
describe('EntityMetrics', () => {
beforeEach(() => {
jest.clearAllMocks();
mockUseEntityMetrics.mockReturnValue({
queries: mockQueries as any,
chartData: mockChartData,
tableData: mockTableData,
queryPayloads: mockQueryPayloads as any,
});
mockUseQuery.mockReturnValue({
data: {
data: {
data: {
variables: {},
title: 'Test Dashboard',
},
id: 'test-dashboard-id',
},
},
isLoading: false,
isError: false,
refetch: jest.fn(),
});
});
it('should render metrics with data', () => {
renderEntityMetrics();
expect(screen.getByText('CPU Usage')).toBeInTheDocument();
expect(screen.getByText('Memory Usage')).toBeInTheDocument();
expect(screen.getByTestId('date-time-selection')).toBeInTheDocument();
expect(screen.getByTestId('uplot-chart')).toBeInTheDocument();
expect(screen.getByTestId('metrics-table')).toBeInTheDocument();
});
it('renders loading state when fetching metrics', () => {
mockUseEntityMetrics.mockReturnValue({
queries: mockLoadingQueries as any,
chartData: [null, null],
tableData: [null, null],
queryPayloads: mockQueryPayloads as any,
});
renderEntityMetrics();
expect(screen.getAllByText('CPU Usage')).toHaveLength(1);
expect(screen.getAllByText('Memory Usage')).toHaveLength(1);
});
it('renders error state when query fails', () => {
mockUseEntityMetrics.mockReturnValue({
queries: mockErrorQueries as any,
chartData: [null, null],
tableData: [null, null],
queryPayloads: mockQueryPayloads as any,
});
renderEntityMetrics();
expect(screen.getByText('API Error')).toBeInTheDocument();
expect(screen.getByText('Network Error')).toBeInTheDocument();
});
it('renders empty state when no metrics data', () => {
mockUseEntityMetrics.mockReturnValue({
queries: mockEmptyQueries as any,
chartData: [[[]], null],
tableData: [
null,
[
{
rows: [],
columns: [],
},
],
],
queryPayloads: mockQueryPayloads as any,
});
renderEntityMetrics();
expect(screen.getByTestId('uplot-chart')).toBeInTheDocument();
expect(screen.getByTestId('metrics-table')).toBeInTheDocument();
});
it('calls handleTimeChange when datetime selection changes', () => {
renderEntityMetrics();
expect(screen.getByTestId('date-time-selection')).toBeInTheDocument();
});
it('renders multiple metric widgets', () => {
renderEntityMetrics();
expect(screen.getByText('CPU Usage')).toBeInTheDocument();
expect(screen.getByText('Memory Usage')).toBeInTheDocument();
});
it('handles different panel types correctly', () => {
renderEntityMetrics();
expect(screen.getByTestId('uplot-chart')).toBeInTheDocument();
expect(screen.getByTestId('metrics-table')).toBeInTheDocument();
});
it('applies intersection observer for visibility', () => {
renderEntityMetrics();
expect(mockUseEntityMetrics).toHaveBeenCalledWith(
expect.objectContaining({
visibilities: [true, true],
}),
);
});
it('passes correct parameters to useEntityMetrics hook', () => {
renderEntityMetrics();
expect(mockUseEntityMetrics).toHaveBeenCalledWith(
expect.objectContaining({
queryKey: 'test-query-key',
timeRange: mockTimeRange,
entity: mockEntity,
category: InfraMonitoringEntity.PODS,
}),
);
});
});

View File

@@ -1,122 +0,0 @@
import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
import { PANEL_TYPES } from 'constants/queryBuilder';
import { getLegend } from 'lib/dashboard/getQueryResults';
import getLabelName from 'lib/getLabelName';
import {
DrawStyle,
FillMode,
LineInterpolation,
LineStyle,
SelectionPreferencesSource,
} from 'lib/uPlotV2/config/types';
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
import { hasSingleVisiblePoint } from 'lib/uPlotV2/utils/dataUtils';
import { get } from 'lodash-es';
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
import { Query } from 'types/api/queryBuilder/queryBuilderData';
import uPlot from 'uplot';
export interface EntityMetricsChartConfigProps {
id: string;
isDarkMode: boolean;
currentQuery: Query;
onDragSelect: (startTime: number, endTime: number) => void;
apiResponse?: MetricRangePayloadProps;
timezone: Timezone;
yAxisUnit: string;
minTimeScale?: number;
maxTimeScale?: number;
}
export function buildEntityMetricsChartConfig({
id,
isDarkMode,
currentQuery,
onDragSelect,
apiResponse,
timezone,
yAxisUnit,
minTimeScale,
maxTimeScale,
}: EntityMetricsChartConfigProps): UPlotConfigBuilder {
const stepIntervals = get(
apiResponse,
'data.newResult.meta.stepIntervals',
{},
) as Record<string, number>;
const minStepInterval = Object.keys(stepIntervals).length
? Math.min(...Object.values(stepIntervals))
: undefined;
const tzDate = (timestamp: number): Date =>
uPlot.tzDate(new Date(timestamp * 1e3), timezone.value);
const builder = new UPlotConfigBuilder({
id,
onDragSelect,
tzDate,
selectionPreferencesSource: SelectionPreferencesSource.IN_MEMORY,
stepInterval: minStepInterval,
});
builder.addScale({
scaleKey: 'x',
time: true,
min: minTimeScale,
max: maxTimeScale,
});
builder.addScale({
scaleKey: 'y',
time: false,
});
builder.addAxis({
scaleKey: 'x',
show: true,
side: 2,
isDarkMode,
panelType: PANEL_TYPES.TIME_SERIES,
});
builder.addAxis({
scaleKey: 'y',
show: true,
side: 3,
isDarkMode,
yAxisUnit,
panelType: PANEL_TYPES.TIME_SERIES,
});
if (!apiResponse?.data?.result) {
return builder;
}
apiResponse.data.result.forEach((series) => {
const hasSingleValidPoint = hasSingleVisiblePoint(series.values);
const baseLabelName = getLabelName(
series.metric,
series.queryName || '',
series.legend || '',
);
const label = getLegend(series, currentQuery, baseLabelName);
builder.addSeries({
scaleKey: 'y',
drawStyle: hasSingleValidPoint ? DrawStyle.Points : DrawStyle.Line,
label,
colorMapping: {},
spanGaps: true,
lineStyle: LineStyle.Solid,
lineInterpolation: LineInterpolation.Spline,
showPoints: hasSingleValidPoint,
pointSize: 5,
fillMode: FillMode.None,
isDarkMode,
metric: series.metric,
});
});
return builder;
}

View File

@@ -1,121 +0,0 @@
import { useMemo } from 'react';
import { QueryFunctionContext, useQueries, UseQueryResult } from 'react-query';
import { ENTITY_VERSION_V5 } from 'constants/app';
import { PANEL_TYPES } from 'constants/queryBuilder';
import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import {
GetMetricQueryRange,
GetQueryResultsProps,
} from 'lib/dashboard/getQueryResults';
import { prepareChartData } from 'lib/uPlotV2/utils/dataUtils';
import { SuccessResponse } from 'types/api';
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
import uPlot from 'uplot';
import { FeatureKeys } from 'constants/features';
import { useAppContext } from 'providers/App/App';
import { getMetricsTableData, MetricsTableData } from './utils';
export interface UseEntityMetricsParams<T> {
queryKey: string;
timeRange: { startTime: number; endTime: number };
entity: T;
getEntityQueryPayload: (
entity: T,
start: number,
end: number,
dotMetricsEnabled: boolean,
) => GetQueryResultsProps[];
visibilities: boolean[];
category: InfraMonitoringEntity;
}
export interface UseEntityMetricsResult {
queries: UseQueryResult<SuccessResponse<MetricRangePayloadProps>, unknown>[];
chartData: (uPlot.AlignedData | null)[];
tableData: (MetricsTableData[] | null)[];
queryPayloads: GetQueryResultsProps[];
}
export function useEntityMetrics<T>({
queryKey,
timeRange,
entity,
getEntityQueryPayload,
visibilities,
category,
}: UseEntityMetricsParams<T>): UseEntityMetricsResult {
const { featureFlags } = useAppContext();
const dotMetricsEnabled =
featureFlags?.find((flag) => flag.name === FeatureKeys.DOT_METRICS_ENABLED)
?.active || false;
const queryPayloads = useMemo(
() =>
getEntityQueryPayload(
entity,
timeRange.startTime,
timeRange.endTime,
dotMetricsEnabled,
),
[
getEntityQueryPayload,
entity,
timeRange.startTime,
timeRange.endTime,
dotMetricsEnabled,
],
);
const queries = useQueries(
queryPayloads.map((payload, index) => ({
// TODO: remove AUTO_REFRESH_QUERY when migrating to date time selection v3
queryKey: [
REACT_QUERY_KEY.AUTO_REFRESH_QUERY,
queryKey,
payload,
ENTITY_VERSION_V5,
category,
],
queryFn: ({
signal,
}: QueryFunctionContext): Promise<
SuccessResponse<MetricRangePayloadProps>
> => GetMetricQueryRange(payload, ENTITY_VERSION_V5, undefined, signal),
enabled: !!payload && visibilities[index],
keepPreviousData: true,
})),
);
const chartData = useMemo(
() =>
queries.map(({ data }, index) => {
const panelType = queryPayloads[index]?.graphType;
if (panelType === PANEL_TYPES.TABLE) {
return null;
}
return data?.payload ? prepareChartData(data.payload) : null;
}),
[queries, queryPayloads],
);
const tableData = useMemo(
() =>
queries.map(({ data }, index) => {
const panelType = queryPayloads[index]?.graphType;
if (panelType !== PANEL_TYPES.TABLE) {
return null;
}
return getMetricsTableData(data);
}),
[queries, queryPayloads],
);
return {
queries,
chartData,
tableData,
queryPayloads,
};
}

View File

@@ -1,3 +0,0 @@
import EntityMetrics from './EntityMetrics';
export default EntityMetrics;

View File

@@ -1,61 +0,0 @@
import { SuccessResponse } from 'types/api';
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
export interface MetricsColumn {
key: string;
label: string;
isValueColumn: boolean;
id?: string;
}
export interface MetricsTableData {
rows: Record<string, string>[];
columns: MetricsColumn[];
}
export const getMetricsTableData = (
data: SuccessResponse<MetricRangePayloadProps> | undefined,
): MetricsTableData[] => {
if (data?.payload?.data?.result?.length) {
const rowsData = (data?.payload.data.result[0] as any).table?.rows;
const columnsData = (data?.payload.data.result[0] as any).table?.columns;
if (!rowsData || !columnsData) {
return [{ rows: [], columns: [] }];
}
// V4 uses builderQueries, V5 already includes legend in column name
const builderQueries = (data.params as any)?.compositeQuery?.builderQueries;
const columns = columnsData.map((columnData: any) => {
if (columnData.isValueColumn) {
// V5: column name already includes legend from convertV5ResponseToLegacy
// V4: need to get legend from builderQueries
const label = builderQueries?.[columnData.name]?.legend || columnData.name;
return {
id: columnData.id || columnData.name,
key: columnData.id || columnData.name,
label,
isValueColumn: true,
};
}
return {
key: columnData.id || columnData.name,
label: columnData.name,
isValueColumn: false,
};
});
if (columns.length === 0) {
return [{ rows: [], columns: [] }];
}
const firstColumnId = columns[0].id || columns[0].key;
const rows = rowsData.map((rowData: any) => ({
...rowData.data,
key: rowData[firstColumnId],
}));
return [{ rows, columns }];
}
return [{ rows: [], columns: [] }];
};

View File

@@ -1,49 +0,0 @@
.container {
margin-top: var(--spacing-8);
}
.filterContainer {
display: flex;
flex-direction: column;
gap: 8px;
padding: var(--spacing-6);
border-radius: var(--radius);
border: 1px solid var(--l1-border);
:global(.ant-select-selector) {
border-radius: 2px;
border: 1px solid var(--l1-border) !important;
background-color: var(--l3-background) !important;
input {
font-size: 12px;
}
:global([data-slot='badge'] .ant-typography) {
font-size: 12px;
}
}
}
.filterContainerTime {
display: flex;
justify-content: flex-end;
align-items: center;
gap: 8px;
}
.filterQuerySearch {
flex: 1;
}
.entityTracesTable {
margin-top: var(--spacing-8);
--typography-color: var(--l2-foreground);
}
.controls {
margin-bottom: 1rem;
width: 100%;
display: flex;
justify-content: flex-end;
}

View File

@@ -1,267 +0,0 @@
import { useCallback, useEffect, useMemo } from 'react';
import logEvent from 'api/common/logEvent';
import {
QuerySearchV2Provider,
useExpression,
useInitialExpression,
useInputExpression,
useQuerySearchInitialExpressionProp,
useQuerySearchOnChange,
useQuerySearchOnRun,
useUserExpression,
} from 'components/QueryBuilderV2';
import QuerySearch from 'components/QueryBuilderV2/QueryV2/QuerySearch/QuerySearch';
import {
combineInitialAndUserExpression,
getUserExpressionFromCombined,
} from 'components/QueryBuilderV2/QueryV2/QuerySearch/utils';
import { ResizeTable } from 'components/ResizeTable';
import { InfraMonitoringEvents } from 'constants/events';
import Controls from 'container/Controls';
import { InfraMonitoringEntity } from 'container/InfraMonitoringK8s/constants';
import RunQueryBtn from 'container/QueryBuilder/components/RunQueryBtn/RunQueryBtn';
import DateTimeSelectionV2 from 'container/TopNav/DateTimeSelectionV2';
import {
CustomTimeType,
Time,
} from 'container/TopNav/DateTimeSelectionV2/types';
import { PER_PAGE_OPTIONS } from 'container/TracesExplorer/ListView/configs';
import { TracesLoading } from 'container/TracesExplorer/TraceLoading/TraceLoading';
import { useQueryState } from 'nuqs';
import { DataSource } from 'types/common/queryBuilder';
import { parseAsJsonNoValidate } from 'utils/nuqsParsers';
import { validateQuery } from 'utils/queryValidationUtils';
import EntityEmptyState from '../EntityEmptyState/EntityEmptyState';
import EntityError from '../EntityError/EntityError';
import { selectedEntityTracesColumns } from '../utils';
import { isKeyNotFoundError } from '../utils';
import { K8S_ENTITY_TRACES_EXPRESSION_KEY, useEntityTraces } from './hooks';
import { getTraceListColumns } from './traceListColumns';
import { getEntityTracesQueryPayload } from './utils';
import styles from './EntityTraces.module.scss';
import { useTimezone } from 'providers/Timezone';
interface Props {
timeRange: {
startTime: number;
endTime: number;
};
isModalTimeSelection: boolean;
handleTimeChange: (
interval: Time | CustomTimeType,
dateTimeRange?: [number, number],
) => void;
selectedInterval: Time;
queryKey: string;
category: InfraMonitoringEntity;
initialExpression: string;
}
function EntityTracesContent({
timeRange,
isModalTimeSelection,
handleTimeChange,
selectedInterval,
queryKey,
category,
}: Omit<Props, 'initialExpression'>): JSX.Element {
const expression = useExpression();
const inputExpression = useInputExpression();
const userExpression = useUserExpression();
const initialExpression = useInitialExpression();
const querySearchOnChange = useQuerySearchOnChange();
const querySearchOnRun = useQuerySearchOnRun();
const querySearchInitialExpressionProp = useQuerySearchInitialExpressionProp();
const [pagination, setPagination] = useQueryState(
'pagination',
parseAsJsonNoValidate<{ offset: number; limit: number }>(),
);
const pageSize = pagination?.limit || PER_PAGE_OPTIONS[0];
const offset = pagination?.offset || 0;
const {
traces,
isLoading,
isFetching,
isError,
error,
currentCount,
hasMore,
refetch,
cancel,
} = useEntityTraces({
queryKey,
timeRange,
expression,
offset,
pageSize,
});
const handleRunQuery = useCallback(
(updatedExpression?: string): void => {
const newUserExpression = updatedExpression
? getUserExpressionFromCombined(initialExpression, updatedExpression)
: inputExpression;
const validation = validateQuery(
initialExpression
? combineInitialAndUserExpression(initialExpression, newUserExpression)
: newUserExpression || '',
);
if (validation.isValid) {
querySearchOnRun(newUserExpression || '');
logEvent(InfraMonitoringEvents.FilterApplied, {
entity: InfraMonitoringEvents.K8sEntity,
page: InfraMonitoringEvents.DetailedPage,
category,
view: InfraMonitoringEvents.TracesView,
});
refetch();
}
},
[inputExpression, initialExpression, refetch, querySearchOnRun, category],
);
const queryData = useMemo(
() =>
getEntityTracesQueryPayload({
start: timeRange.startTime,
end: timeRange.endTime,
expression: userExpression || '',
}).queryData,
[timeRange.startTime, timeRange.endTime, userExpression],
);
const { formatTimezoneAdjustedTimestamp } = useTimezone();
const traceListColumns = getTraceListColumns(
selectedEntityTracesColumns,
formatTimezoneAdjustedTimestamp,
);
const isKeyNotFound = isKeyNotFoundError(error);
const isDataEmpty =
!isLoading &&
!isFetching &&
(!isError || isKeyNotFound) &&
traces.length === 0;
const hasAdditionalFilters = !!userExpression?.trim();
const handleRowClick = useCallback(() => {
logEvent(InfraMonitoringEvents.ItemClicked, {
entity: InfraMonitoringEvents.K8sEntity,
category,
view: InfraMonitoringEvents.TracesView,
});
}, [category]);
useEffect(() => {
return (): void => {
void setPagination(null);
};
}, [setPagination]);
return (
<div className={styles.container}>
<div className={styles.filterContainer}>
<div className={styles.filterContainerTime}>
<DateTimeSelectionV2
showAutoRefresh
showRefreshText={false}
hideShareModal
isModalTimeSelection={isModalTimeSelection}
onTimeChange={handleTimeChange}
defaultRelativeTime="5m"
modalSelectedInterval={selectedInterval}
modalInitialStartTime={timeRange.startTime * 1000}
modalInitialEndTime={timeRange.endTime * 1000}
/>
<RunQueryBtn
isLoadingQueries={isFetching}
onStageRunQuery={(): void => handleRunQuery()}
handleCancelQuery={cancel}
/>
</div>
<div className={styles.filterQuerySearch}>
<QuerySearch
onChange={querySearchOnChange}
queryData={queryData}
dataSource={DataSource.TRACES}
onRun={handleRunQuery}
initialExpression={querySearchInitialExpressionProp}
/>
</div>
</div>
{isLoading && traces.length === 0 && <TracesLoading />}
{isDataEmpty && <EntityEmptyState hasFilters={hasAdditionalFilters} />}
{isError && !isKeyNotFound && !isLoading && <EntityError />}
{(!isError || isKeyNotFound) && traces.length > 0 && (
<div className={styles.entityTracesTable}>
<div className={styles.controls}>
<Controls
totalCount={hasMore ? currentCount + 1 : currentCount}
countPerPage={pageSize}
offset={offset}
perPageOptions={PER_PAGE_OPTIONS}
isLoading={false}
handleNavigatePrevious={(): void => {
void setPagination({
offset: Math.max(0, offset - pageSize),
limit: pageSize,
});
}}
handleNavigateNext={(): void => {
void setPagination({
offset: offset + pageSize,
limit: pageSize,
});
}}
handleCountItemsPerPageChange={(value): void => {
void setPagination({
offset: 0,
limit: value,
});
}}
/>
</div>
<ResizeTable
tableLayout="fixed"
pagination={false}
scroll={{ x: true }}
loading={isFetching && traces.length === 0}
dataSource={traces}
columns={traceListColumns}
onRow={(): Record<string, unknown> => ({
onClick: (): void => handleRowClick(),
})}
/>
</div>
)}
</div>
);
}
function EntityTraces({ initialExpression, ...rest }: Props): JSX.Element {
return (
<QuerySearchV2Provider
queryParamKey={K8S_ENTITY_TRACES_EXPRESSION_KEY}
initialExpression={initialExpression}
persistOnUnmount
>
<EntityTracesContent {...rest} />
</QuerySearchV2Provider>
);
}
export default EntityTraces;

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