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feat(metrics): label filters with explicit resource/attribute/auto scope (P3)#63125

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posthog-code/metrics-ql2-series-shapefrom
posthog-code/metrics-ql3-label-filters
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feat(metrics): label filters with explicit resource/attribute/auto scope (P3)#63125
DanielVisca wants to merge 1 commit into
posthog-code/metrics-ql2-series-shapefrom
posthog-code/metrics-ql3-label-filters

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@DanielVisca

@DanielVisca DanielVisca commented Jun 11, 2026

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Problem

Metric queries could only select by metric name — no way to scope to a service, pod, or endpoint. Filters are the first feature to flow through the attribute_field() seam.

Changes

filters: [{key, op, value, scope}] on the query body, ANDed into the WHERE clause via attribute_field():

  • Ops: eq", neq, regex, not_regex` (RE2). Negative ops also match rows lacking the key — same semantics as Prometheus negative matchers (documented on the serializer).
  • scope defaults to auto (resource attributes first, per-datapoint fallback) — forward-compatible with the schema-v2 merged-label layout where the distinction disappears.
  • Adds MetricAttributeScopeEnum to ENUM_NAME_OVERRIDES (the filter and group-by serializers share the choice set and collided).

How did you test this code?

I'm an agent. Automated: parameterized runner tests for every op/scope combination against real ClickHouse (these also exercise the __str suffix path end-to-end — a filter on a seeded attribute only matches if the tag convention is right). Live check with the local pipe:

# matching filter returns the series; "no-such" returns empty points:
... -d '{"query": {"metricName": "metrics_rate_limiter_message_lag_seconds", "aggregation": "avg", "filters": [{"key": "service_name", "op": "eq", "value": "metrics-ingestion"}], "dateFrom": "<10m ago>"}}'

🤖 Agent context

Autonomy: Human-driven (agent-assisted) — directed by @DanielVisca

DanielVisca commented Jun 11, 2026

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@greptile-apps

greptile-apps Bot commented Jun 11, 2026

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Prompt To Fix All With AI
Fix the following 2 code review issues. Work through them one at a time, proposing concise fixes.

---

### Issue 1 of 2
products/metrics/backend/metric_query_runner.py:127-143
The parameter name `filter` shadows Python's built-in `filter()` function. Rename it to avoid masking the builtin throughout the function body.

```suggestion
def _filter_condition(metric_filter: MetricFilter) -> ast.Expr:
    """One label predicate as a HogQL boolean expression.

    Missing map keys resolve to `''`, so `neq`/`not_regex` also match rows
    that lack the key entirely — same as Prometheus negative matchers.
    """
    field = attribute_field(metric_filter.key, scope=metric_filter.scope.value)
    placeholders: dict[str, ast.Expr] = {"field": field, "value": ast.Constant(value=metric_filter.value)}
    if metric_filter.op == FilterOp.EQ:
        return parse_expr("{field} = {value}", placeholders=placeholders)
    if metric_filter.op == FilterOp.NEQ:
        return parse_expr("{field} != {value}", placeholders=placeholders)
    if metric_filter.op == FilterOp.REGEX:
        return parse_expr("match({field}, {value})", placeholders=placeholders)
    if metric_filter.op == FilterOp.NOT_REGEX:
        return parse_expr("not match({field}, {value})", placeholders=placeholders)
    raise ValueError(f"Unsupported filter op: {metric_filter.op!r}")
```

### Issue 2 of 2
products/metrics/backend/presentation/api.py:42-45
The `value` field has no `max_length` constraint while `key` is capped at 255. For `regex`/`not_regex` ops, `value` is the regex pattern sent straight to ClickHouse's `match()`. Without a length cap, an arbitrarily large pattern string could be submitted, increasing both parse overhead and payload size.

```suggestion
    value = serializers.CharField(
        allow_blank=True,
        max_length=1024,
        help_text="Value to compare against. For regex operators this is the pattern.",
    )
```

Reviews (1): Last reviewed commit: "feat(metrics): label filters with explic..." | Re-trigger Greptile

Comment on lines +127 to +143
def _filter_condition(filter: MetricFilter) -> ast.Expr:
"""One label predicate as a HogQL boolean expression.

Missing map keys resolve to `''`, so `neq`/`not_regex` also match rows
that lack the key entirely — same as Prometheus negative matchers.
"""
field = attribute_field(filter.key, scope=filter.scope.value)
placeholders: dict[str, ast.Expr] = {"field": field, "value": ast.Constant(value=filter.value)}
if filter.op == FilterOp.EQ:
return parse_expr("{field} = {value}", placeholders=placeholders)
if filter.op == FilterOp.NEQ:
return parse_expr("{field} != {value}", placeholders=placeholders)
if filter.op == FilterOp.REGEX:
return parse_expr("match({field}, {value})", placeholders=placeholders)
if filter.op == FilterOp.NOT_REGEX:
return parse_expr("not match({field}, {value})", placeholders=placeholders)
raise ValueError(f"Unsupported filter op: {filter.op!r}")

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P2 The parameter name filter shadows Python's built-in filter() function. Rename it to avoid masking the builtin throughout the function body.

Suggested change
def _filter_condition(filter: MetricFilter) -> ast.Expr:
"""One label predicate as a HogQL boolean expression.
Missing map keys resolve to `''`, so `neq`/`not_regex` also match rows
that lack the key entirelysame as Prometheus negative matchers.
"""
field = attribute_field(filter.key, scope=filter.scope.value)
placeholders: dict[str, ast.Expr] = {"field": field, "value": ast.Constant(value=filter.value)}
if filter.op == FilterOp.EQ:
return parse_expr("{field} = {value}", placeholders=placeholders)
if filter.op == FilterOp.NEQ:
return parse_expr("{field} != {value}", placeholders=placeholders)
if filter.op == FilterOp.REGEX:
return parse_expr("match({field}, {value})", placeholders=placeholders)
if filter.op == FilterOp.NOT_REGEX:
return parse_expr("not match({field}, {value})", placeholders=placeholders)
raise ValueError(f"Unsupported filter op: {filter.op!r}")
def _filter_condition(metric_filter: MetricFilter) -> ast.Expr:
"""One label predicate as a HogQL boolean expression.
Missing map keys resolve to `''`, so `neq`/`not_regex` also match rows
that lack the key entirelysame as Prometheus negative matchers.
"""
field = attribute_field(metric_filter.key, scope=metric_filter.scope.value)
placeholders: dict[str, ast.Expr] = {"field": field, "value": ast.Constant(value=metric_filter.value)}
if metric_filter.op == FilterOp.EQ:
return parse_expr("{field} = {value}", placeholders=placeholders)
if metric_filter.op == FilterOp.NEQ:
return parse_expr("{field} != {value}", placeholders=placeholders)
if metric_filter.op == FilterOp.REGEX:
return parse_expr("match({field}, {value})", placeholders=placeholders)
if metric_filter.op == FilterOp.NOT_REGEX:
return parse_expr("not match({field}, {value})", placeholders=placeholders)
raise ValueError(f"Unsupported filter op: {metric_filter.op!r}")
Prompt To Fix With AI
This is a comment left during a code review.
Path: products/metrics/backend/metric_query_runner.py
Line: 127-143

Comment:
The parameter name `filter` shadows Python's built-in `filter()` function. Rename it to avoid masking the builtin throughout the function body.

```suggestion
def _filter_condition(metric_filter: MetricFilter) -> ast.Expr:
    """One label predicate as a HogQL boolean expression.

    Missing map keys resolve to `''`, so `neq`/`not_regex` also match rows
    that lack the key entirely — same as Prometheus negative matchers.
    """
    field = attribute_field(metric_filter.key, scope=metric_filter.scope.value)
    placeholders: dict[str, ast.Expr] = {"field": field, "value": ast.Constant(value=metric_filter.value)}
    if metric_filter.op == FilterOp.EQ:
        return parse_expr("{field} = {value}", placeholders=placeholders)
    if metric_filter.op == FilterOp.NEQ:
        return parse_expr("{field} != {value}", placeholders=placeholders)
    if metric_filter.op == FilterOp.REGEX:
        return parse_expr("match({field}, {value})", placeholders=placeholders)
    if metric_filter.op == FilterOp.NOT_REGEX:
        return parse_expr("not match({field}, {value})", placeholders=placeholders)
    raise ValueError(f"Unsupported filter op: {metric_filter.op!r}")
```

How can I resolve this? If you propose a fix, please make it concise.

Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!

Comment on lines +42 to +45
value = serializers.CharField(
allow_blank=True,
help_text="Value to compare against. For regex operators this is the pattern.",
)

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P2 The value field has no max_length constraint while key is capped at 255. For regex/not_regex ops, value is the regex pattern sent straight to ClickHouse's match(). Without a length cap, an arbitrarily large pattern string could be submitted, increasing both parse overhead and payload size.

Suggested change
value = serializers.CharField(
allow_blank=True,
help_text="Value to compare against. For regex operators this is the pattern.",
)
value = serializers.CharField(
allow_blank=True,
max_length=1024,
help_text="Value to compare against. For regex operators this is the pattern.",
)
Prompt To Fix With AI
This is a comment left during a code review.
Path: products/metrics/backend/presentation/api.py
Line: 42-45

Comment:
The `value` field has no `max_length` constraint while `key` is capped at 255. For `regex`/`not_regex` ops, `value` is the regex pattern sent straight to ClickHouse's `match()`. Without a length cap, an arbitrarily large pattern string could be submitted, increasing both parse overhead and payload size.

```suggestion
    value = serializers.CharField(
        allow_blank=True,
        max_length=1024,
        help_text="Value to compare against. For regex operators this is the pattern.",
    )
```

How can I resolve this? If you propose a fix, please make it concise.

@github-actions

github-actions Bot commented Jun 11, 2026

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Total Size: 72.4 MB

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@DanielVisca DanielVisca force-pushed the posthog-code/metrics-ql3-label-filters branch from cf2ee47 to 8465408 Compare June 11, 2026 21:33
@DanielVisca DanielVisca force-pushed the posthog-code/metrics-ql2-series-shape branch 2 times, most recently from 7b38644 to 4d9b5bc Compare June 11, 2026 22:04
@DanielVisca DanielVisca force-pushed the posthog-code/metrics-ql3-label-filters branch from 8465408 to 9dc3731 Compare June 11, 2026 22:04
@DanielVisca DanielVisca added the stamphog Request AI review from stamphog label Jun 11, 2026 — with Graphite App
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github-actions Bot previously approved these changes Jun 11, 2026

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No showstoppers. The filter values are passed as HogQL AST constants (parameterized, not string-interpolated), so there's no injection risk. The bot's P2 comments — filter shadowing the built-in and missing max_length on value — are style/DoS-mitigation suggestions, not correctness or security blockers. Tests cover all filter ops, AND logic, the API endpoint, and the facade layer. Generated types match the serializer.

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🕸️ Eager graph

How much code each root forces the browser to download and decode through static imports — the regression class total bundle size can't see.

Root Eager closure Δ vs base Budget
entry (logged-out pages, app bootstrap)
src/index.tsx
14.59 MiB · 749 files no change █████████░ 90.0% of 16.21 MiB
authenticated shell (every logged-in page)
src/scenes/AuthenticatedShell.tsx
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Posted automatically by check-eager-graph · sizes are input-source bytes from the esbuild metafile · part of #32479

…ope (P3)

Adds filters to the query endpoint and facade: [{key, op, value, scope}]
ANDed into the WHERE clause through attribute_field() — the single seam
the schema-v2 rewrite will swap. Ops: eq, neq, regex, not_regex (RE2);
negative ops also match rows lacking the key, mirroring Prometheus
negative matchers. scope defaults to auto (resource first, per-datapoint
fallback) so callers stay forward-compatible with the merged-label v2
layout.

How to validate manually:
- hogli test products/metrics/backend/tests/ (69 tests)
- with the local pipe running:
  POST /api/environments/:id/metrics/query with filters
  [{"key": "service_name", "op": "eq", "value": "metrics-ingestion"}]
  returns the series; value "no-such" returns empty points
@DanielVisca DanielVisca force-pushed the posthog-code/metrics-ql2-series-shape branch from 4d9b5bc to 7db0be0 Compare June 11, 2026 22:35
@DanielVisca DanielVisca force-pushed the posthog-code/metrics-ql3-label-filters branch from 9dc3731 to 4facf57 Compare June 11, 2026 22:35
@github-actions github-actions Bot dismissed their stale review June 11, 2026 22:36

New commits pushed (delta classified non_linear_history) — stamphog approval dismissed; re-review running automatically.

@github-actions github-actions Bot left a comment

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No showstoppers. Filter values and keys are passed as parameterized HogQL AST constants throughout — no injection risk. Tests are comprehensive, generated types match the serializer, and the author owns this code area.

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