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Author SHA1 Message Date
sysadminandClaude Opus 4.8 b179610e7f fix(webui): remediate PR #876 REQUEST_CHANGES for analytics (#651)
Address review blockers and medium/low findings:

- F1: HTML-escape all dynamic analytics fields (html.escape quote=True)
- F2: Gate POST /api/v1/analytics/usage through console_authz
  record_analytics_usage (fail closed for unauthenticated / Phase 1)
- F3: Enforce usage_events retention (max rows + max age)
- F4: Coerce None remote/org/repo to empty strings in load_analytics

Add tests for XSS escaping, unauthorized ingest deny, retention, and
None scope coercion. Document authz + retention in analytics guide.

Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>
2026-07-24 08:11:12 -04:00
jcwalker3 0041542fe2 Merge branch 'master' into feat/issue-651-usage-cost-analytics 2026-07-24 07:03:24 -05:00
jcwalker3 1f144705e2 Merge branch 'master' into feat/issue-651-usage-cost-analytics 2026-07-24 06:55:03 -05:00
sysadmin 5c5c1fdf77 feat(webui): model usage, token cost, latency, and performance analytics (Closes #651) 2026-07-24 07:16:44 -04:00
15 changed files with 1450 additions and 745 deletions
+231 -1
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@@ -31,7 +31,7 @@ from typing import Any, Iterator, Sequence
import dependency_graph import dependency_graph
SCHEMA_VERSION = 4 SCHEMA_VERSION = 5
# Assignable work kinds only — raw monitoring incidents are never work items. # Assignable work kinds only — raw monitoring incidents are never work items.
WORK_KINDS = frozenset({"issue", "pr"}) WORK_KINDS = frozenset({"issue", "pr"})
@@ -186,6 +186,34 @@ CREATE INDEX IF NOT EXISTS idx_dependency_edges_target
ON dependency_edges(remote, org, repo, target_kind, target_number); ON dependency_edges(remote, org, repo, target_kind, target_number);
CREATE INDEX IF NOT EXISTS idx_assignments_session ON assignments(session_id, status); CREATE INDEX IF NOT EXISTS idx_assignments_session ON assignments(session_id, status);
CREATE INDEX IF NOT EXISTS idx_incident_gitea ON incident_links(gitea_org, gitea_repo, gitea_issue_number); CREATE INDEX IF NOT EXISTS idx_incident_gitea ON incident_links(gitea_org, gitea_repo, gitea_issue_number);
-- Model usage, token cost, latency, and performance events (#651)
CREATE TABLE IF NOT EXISTS usage_events (
usage_id INTEGER PRIMARY KEY AUTOINCREMENT,
session_id TEXT,
remote TEXT NOT NULL DEFAULT 'dadeschools',
org TEXT NOT NULL DEFAULT '',
repo TEXT NOT NULL DEFAULT '',
project_id TEXT,
role TEXT NOT NULL DEFAULT 'unknown',
model TEXT NOT NULL DEFAULT 'unknown',
issue_number INTEGER,
pr_number INTEGER,
stage TEXT NOT NULL DEFAULT 'unknown',
input_tokens INTEGER,
output_tokens INTEGER,
total_tokens INTEGER,
estimated_cost_usd REAL,
latency_ms INTEGER,
duration_ms INTEGER,
status TEXT NOT NULL DEFAULT 'success',
metadata TEXT,
created_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_usage_events_scope ON usage_events(remote, org, repo);
CREATE INDEX IF NOT EXISTS idx_usage_events_role_model ON usage_events(role, model);
CREATE INDEX IF NOT EXISTS idx_usage_events_stage ON usage_events(stage);
""" """
@@ -339,6 +367,7 @@ class ControlPlaneDB:
self._migrate_incident_links_null_scope(conn) self._migrate_incident_links_null_scope(conn)
self._migrate_lease_lifecycle_columns(conn) self._migrate_lease_lifecycle_columns(conn)
self._migrate_session_ownership_columns(conn) self._migrate_session_ownership_columns(conn)
self._migrate_usage_events_table(conn)
conn.execute( conn.execute(
"INSERT OR REPLACE INTO schema_meta(key, value) VALUES (?, ?)", "INSERT OR REPLACE INTO schema_meta(key, value) VALUES (?, ?)",
("schema_version", str(SCHEMA_VERSION)), ("schema_version", str(SCHEMA_VERSION)),
@@ -518,6 +547,207 @@ class ControlPlaneDB:
f"UPDATE incident_links SET {col} = '' WHERE {col} IS NULL" f"UPDATE incident_links SET {col} = '' WHERE {col} IS NULL"
) )
def _migrate_usage_events_table(self, conn: sqlite3.Connection) -> None:
"""Create usage_events table and indexes if they do not exist (#651)."""
conn.execute("""
CREATE TABLE IF NOT EXISTS usage_events (
usage_id INTEGER PRIMARY KEY AUTOINCREMENT,
session_id TEXT,
remote TEXT NOT NULL DEFAULT 'dadeschools',
org TEXT NOT NULL DEFAULT '',
repo TEXT NOT NULL DEFAULT '',
project_id TEXT,
role TEXT NOT NULL DEFAULT 'unknown',
model TEXT NOT NULL DEFAULT 'unknown',
issue_number INTEGER,
pr_number INTEGER,
stage TEXT NOT NULL DEFAULT 'unknown',
input_tokens INTEGER,
output_tokens INTEGER,
total_tokens INTEGER,
estimated_cost_usd REAL,
latency_ms INTEGER,
duration_ms INTEGER,
status TEXT NOT NULL DEFAULT 'success',
metadata TEXT,
created_at TEXT NOT NULL
);
""")
conn.execute("CREATE INDEX IF NOT EXISTS idx_usage_events_scope ON usage_events(remote, org, repo);")
conn.execute("CREATE INDEX IF NOT EXISTS idx_usage_events_role_model ON usage_events(role, model);")
conn.execute("CREATE INDEX IF NOT EXISTS idx_usage_events_stage ON usage_events(stage);")
# #651 retention: cap growth so unauthenticated or high-volume ingest
# cannot DoS the control-plane DB (PR #876 F3). Applied after every write.
USAGE_EVENTS_MAX_ROWS = 10_000
USAGE_EVENTS_RETENTION_DAYS = 90
def record_usage_event(
self,
*,
session_id: str | None = None,
remote: str = "dadeschools",
org: str = "",
repo: str = "",
project_id: str | None = None,
role: str = "unknown",
model: str = "unknown",
issue_number: int | None = None,
pr_number: int | None = None,
stage: str = "unknown",
input_tokens: int | None = None,
output_tokens: int | None = None,
total_tokens: int | None = None,
estimated_cost_usd: float | None = None,
latency_ms: int | None = None,
duration_ms: int | None = None,
status: str = "success",
metadata: str | dict[str, Any] | None = None,
created_at: str | None = None,
) -> int:
"""Record a model usage, token cost, latency, or stage performance event (#651)."""
ts = created_at or _ts()
meta_str: str | None = None
if metadata is not None:
from webui import console_redaction
redacted_meta = console_redaction.redact_payload(metadata)
if isinstance(redacted_meta, str):
meta_str = redacted_meta
else:
try:
meta_str = json.dumps(redacted_meta, default=str)
except Exception:
meta_str = str(redacted_meta)
if total_tokens is None and (input_tokens is not None or output_tokens is not None):
total_tokens = (input_tokens or 0) + (output_tokens or 0)
with self._tx(immediate=True) as conn:
cursor = conn.execute(
"""
INSERT INTO usage_events (
session_id, remote, org, repo, project_id, role, model,
issue_number, pr_number, stage, input_tokens, output_tokens,
total_tokens, estimated_cost_usd, latency_ms, duration_ms,
status, metadata, created_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
session_id,
remote,
org,
repo,
project_id,
role,
model,
issue_number,
pr_number,
stage,
input_tokens,
output_tokens,
total_tokens,
estimated_cost_usd,
latency_ms,
duration_ms,
status,
meta_str,
ts,
),
)
usage_id = cursor.lastrowid
self._enforce_usage_events_retention(conn)
return usage_id
def _enforce_usage_events_retention(self, conn: sqlite3.Connection) -> None:
"""Drop aged and excess usage_events rows (PR #876 F3)."""
# Age-based: ISO-8601 UTC timestamps compare lexicographically.
cutoff = (
datetime.now(timezone.utc)
- timedelta(days=int(self.USAGE_EVENTS_RETENTION_DAYS))
).strftime("%Y-%m-%dT%H:%M:%SZ")
conn.execute(
"DELETE FROM usage_events WHERE created_at < ?",
(cutoff,),
)
# Count-based: keep the newest USAGE_EVENTS_MAX_ROWS by usage_id.
max_rows = int(self.USAGE_EVENTS_MAX_ROWS)
if max_rows > 0:
conn.execute(
"""
DELETE FROM usage_events
WHERE usage_id NOT IN (
SELECT usage_id FROM usage_events
ORDER BY usage_id DESC
LIMIT ?
)
""",
(max_rows,),
)
def query_usage_events(
self,
*,
remote: str | None = None,
org: str | None = None,
repo: str | None = None,
project_id: str | None = None,
role: str | None = None,
model: str | None = None,
issue_number: int | None = None,
pr_number: int | None = None,
stage: str | None = None,
session_id: str | None = None,
limit: int = 500,
offset: int = 0,
) -> list[dict[str, Any]]:
"""Query stored usage events matching filters (#651)."""
conditions = []
params = []
if remote:
conditions.append("remote = ?")
params.append(remote)
if org:
conditions.append("org = ?")
params.append(org)
if repo:
conditions.append("repo = ?")
params.append(repo)
if project_id:
conditions.append("project_id = ?")
params.append(project_id)
if role:
conditions.append("role = ?")
params.append(role)
if model:
conditions.append("model = ?")
params.append(model)
if issue_number is not None:
conditions.append("issue_number = ?")
params.append(issue_number)
if pr_number is not None:
conditions.append("pr_number = ?")
params.append(pr_number)
if stage:
conditions.append("stage = ?")
params.append(stage)
if session_id:
conditions.append("session_id = ?")
params.append(session_id)
where_clause = f"WHERE {' AND '.join(conditions)}" if conditions else ""
sql = f"""
SELECT * FROM usage_events
{where_clause}
ORDER BY usage_id ASC
LIMIT ? OFFSET ?
"""
params.extend([limit, offset])
with self._tx(immediate=False) as conn:
cursor = conn.execute(sql, params)
rows = cursor.fetchall()
return [dict(row) for row in rows]
# ── sessions ────────────────────────────────────────────────────────── # ── sessions ──────────────────────────────────────────────────────────
def upsert_session( def upsert_session(
@@ -0,0 +1,143 @@
# Model Usage, Token Cost, Latency, and Workflow Analytics (Phase 4)
- **Tracking Issue:** [#651](https://gitea.prgs.cc/Scaled-Tech-Consulting/Gitea-Tools/issues/651)
- **Parent Epic:** [#631](https://gitea.prgs.cc/Scaled-Tech-Consulting/Gitea-Tools/issues/651)
- **Console Surface:** `/analytics`, `/api/v1/analytics`, `/api/v1/analytics/usage`
## 1. Overview
The Web Console Analytics module provides durable, aggregate visibility into **model usage, token cost, latency percentiles, and workflow-stage performance** across projects, worker roles, AI models, issues, and PRs.
### Non-Goals
- No mandatory client-side telemetry that leaks prompts or secret keys.
- No third-party payment provider or billing integration.
- No automatic model routing changes without controller policy (#647).
---
## 2. Event Schema (`usage_events`)
Usage metrics are stored in the control-plane database under table `usage_events`.
| Column | Type | Description |
|---|---|---|
| `usage_id` | `INTEGER` | Primary key (autoincrement) |
| `session_id` | `TEXT` | Optional active session identifier |
| `remote` | `TEXT` | Known Gitea instance (`dadeschools` or `prgs`) |
| `org` | `TEXT` | Repository owner / organization |
| `repo` | `TEXT` | Repository name |
| `project_id` | `TEXT` | Optional project identifier |
| `role` | `TEXT` | Active worker role (`author`, `reviewer`, `merger`, `reconciler`, `controller`) |
| `model` | `TEXT` | LLM model identifier (e.g. `gemini-3.6-flash`, `claude-3-5-sonnet`) |
| `issue_number` | `INTEGER` | Correlated Gitea issue number (optional) |
| `pr_number` | `INTEGER` | Correlated Gitea PR number (optional) |
| `stage` | `TEXT` | Workflow stage (`preflight`, `implementation`, `review`, `merge`, `reconciliation`) |
| `input_tokens` | `INTEGER` | Input token count (optional / nullable) |
| `output_tokens` | `INTEGER` | Output token count (optional / nullable) |
| `total_tokens` | `INTEGER` | Total token count (optional / nullable) |
| `estimated_cost_usd` | `REAL` | Estimated USD cost (optional / nullable) |
| `latency_ms` | `INTEGER` | Request latency in milliseconds (optional / nullable) |
| `duration_ms` | `INTEGER` | Stage execution duration in milliseconds (optional / nullable) |
| `status` | `TEXT` | Outcome status (`success`, `failure`, `timeout`) |
| `metadata` | `TEXT` | Redacted metadata or summary string |
| `created_at` | `TEXT` | ISO 8601 UTC timestamp |
---
## 3. Handling of Missing Data ("Unknown" vs. Zero Fabrication)
To ensure operational metrics accurately reflect evidence:
- **Untracked or missing metrics are displayed as `Unknown`**, never zero-fabricated.
- If an event omits `estimated_cost_usd`, `latency_ms`, or token counts, the aggregator marks those fields as missing (`None`) rather than defaulting to `0` or `$0.00`.
- Summary tables and KPI cards explicitly indicate when data is unmeasured or partially reported.
---
## 4. Redaction & Security Rules
Per `#633` security policy:
- Free-text fields (`metadata`, `prompt_summary`, `session_id`) are run through `console_redaction.redact_text` before persistence and output serialization.
- Secret tokens, keychain commands, authorization headers, passwords, and JWTs are stripped automatically.
---
## 5. Opt-in Instrumentation Guide
Applications, MCP servers, and background sessions can report usage metrics through either Python API or HTTP ingestion.
### Python Ingestion
```python
from webui.analytics_loader import record_usage
record_usage(
remote="dadeschools",
org="Scaled-Tech-Consulting",
repo="Gitea-Tools",
role="author",
model="gemini-3.6-flash",
issue_number=651,
stage="implementation",
input_tokens=1420,
output_tokens=380,
total_tokens=1800,
estimated_cost_usd=0.00045,
latency_ms=320,
duration_ms=4500,
status="success",
metadata={"note": "Implementation of analytics module"},
)
```
### HTTP Ingestion API (authorized write)
`POST /api/v1/analytics/usage` is a **gated write**. It runs through
`console_authz` action `record_analytics_usage` (operator+, Phase 2 execution).
Unauthenticated or phase-inactive requests receive **403** and do not write.
Prefer in-process `record_usage` for MCP / session instrumentation.
```http
POST /api/v1/analytics/usage HTTP/1.1
Content-Type: application/json
# Requires authenticated principal with record_analytics_usage execution enabled
{
"remote": "dadeschools",
"org": "Scaled-Tech-Consulting",
"repo": "Gitea-Tools",
"role": "author",
"model": "gemini-3.6-flash",
"issue_number": 651,
"stage": "implementation",
"input_tokens": 1420,
"output_tokens": 380,
"total_tokens": 1800,
"estimated_cost_usd": 0.00045,
"latency_ms": 320,
"duration_ms": 4500,
"status": "success",
"metadata": "Analytics schema landed"
}
```
### Retention
`usage_events` is retained with hard caps applied on every write:
| Limit | Default |
|---|---|
| Max rows | 10,000 (`ControlPlaneDB.USAGE_EVENTS_MAX_ROWS`) |
| Max age | 90 days (`ControlPlaneDB.USAGE_EVENTS_RETENTION_DAYS`) |
Older rows (by `created_at`) and excess oldest rows (by `usage_id`) are deleted
after each insert so unbounded growth / DoS-by-volume cannot fill the DB.
---
## 6. Querying Analytics API
```http
GET /api/v1/analytics?role=author&stage=implementation HTTP/1.1
```
Returns `AnalyticsSnapshot` JSON containing aggregations (`by_model`, `by_stage`, `by_role`, `by_work_item`, `by_project`) and latency percentiles (`p50`, `p90`, `p95`, `p99`).
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@@ -91,6 +91,7 @@ already define, and a regression test asserts each mapping matches.
| `close_pr` | controller | privileged | `gitea.pr.close` | Yes | No | No | 3 | | `close_pr` | controller | privileged | `gitea.pr.close` | Yes | No | No | 3 |
| `merge_pr` | controller | privileged | `gitea.pr.merge` | Yes | **Yes** | **Yes** | 3 | | `merge_pr` | controller | privileged | `gitea.pr.merge` | Yes | **Yes** | **Yes** | 3 |
| `delete_branch` | admin | destructive | `gitea.branch.delete` | Yes | **Yes** | **Yes** | 3 | | `delete_branch` | admin | destructive | `gitea.branch.delete` | Yes | **Yes** | **Yes** | 3 |
| `record_analytics_usage` | operator | gated_write | `runtime.record_analytics_usage` | Yes | No | No | 2 |
**Dual control** means the acting principal may not be the sole authority: a **Dual control** means the acting principal may not be the sole authority: a
second distinct principal must confirm. **Break-glass** means the action is second distinct principal must confirm. **Break-glass** means the action is
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@@ -66,8 +66,6 @@ status, onboarding checklist state, and the fail-closed error payloads (#635).
| `/api/prompts` | JSON prompt export with workflow hashes | | `/api/prompts` | JSON prompt export with workflow hashes |
| `/runtime` | MCP runtime health and stale detection (#430) | | `/runtime` | MCP runtime health and stale detection (#430) |
| `/api/runtime` | JSON runtime health export | | `/api/runtime` | JSON runtime health export |
| `/policy` | Workflow policy and guardrail configuration visibility (#646) |
| `/api/v1/policy` | Versioned JSON guardrail inventory (redacted, read-only) |
| `/audit` | Report audit paste + validator preview (#431) | | `/audit` | Report audit paste + validator preview (#431) |
| `/api/audit` | JSON validator preview (POST `report_text`, optional `task_kind`) | | `/api/audit` | JSON validator preview (POST `report_text`, optional `task_kind`) |
| `/worktrees` | Worktree hygiene dashboard (#432) | | `/worktrees` | Worktree hygiene dashboard (#432) |
@@ -241,19 +239,6 @@ health, workflow/schema SHA-256 hashes, and stale-runtime warnings when the
checkout is behind merged safety-gate changes. Restart guidance links to #420; checkout is behind merged safety-gate changes. Restart guidance links to #420;
no tokens or MCP restart actions are exposed. no tokens or MCP restart actions are exposed.
## Policy & guardrail visibility (#646)
`/policy` (HTML) and `/api/v1/policy` (JSON) surface a **read-only** projection
of the major workflow guardrails — role separation/RBAC, lease lifecycle,
author worktree binding, merge confirmation, secret redaction, contamination
containment, allocator policy, audit logging, and mutation gating. Each entry
carries source pointers to the file/module/doc that owns it, a compact active
value derived from the existing safe policy accessors, and — where a documented
default is declared — a diff of active vs documented. The whole payload is run
through the console redaction pass before it is emitted, so a planted or
accidental secret degrades to the placeholder rather than reaching a client.
The view never edits policy and exposes no gate-weakening toggle.
## Application shell — Phase 1 (#638) ## Application shell — Phase 1 (#638)
The console shell (`webui/layout.py`) renders a grouped navigation driven by a The console shell (`webui/layout.py`) renders a grouped navigation driven by a
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@@ -495,6 +495,15 @@ TASK_CAPABILITY_MAP: dict[str, dict[str, str]] = {
"permission": "gitea.issue.comment", "permission": "gitea.issue.comment",
"role": "author", "role": "author",
}, },
# #651 console analytics ingest — control-plane DB write, not a Gitea API
# call. Authority comes from console RBAC (operator+) plus phase gating;
# permission string is a non-Gitea runtime capability so no Gitea profile
# can satisfy it by accident.
"record_analytics_usage": {
"permission": "runtime.record_analytics_usage",
"role": "author",
},
} }
+1 -1
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@@ -36,7 +36,7 @@ class ControlPlaneDBTest(unittest.TestCase):
rows = dict(conn.execute("SELECT key, value FROM schema_meta").fetchall()) rows = dict(conn.execute("SELECT key, value FROM schema_meta").fetchall())
finally: finally:
conn.close() conn.close()
self.assertEqual(rows["schema_version"], "4") self.assertEqual(rows["schema_version"], "5")
self.assertIn("DB coordinates", rows["architecture"]) self.assertIn("DB coordinates", rows["architecture"])
self.assertIn("bridge", rows["architecture"].lower()) self.assertIn("bridge", rows["architecture"].lower())
+252
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@@ -0,0 +1,252 @@
"""Unit and integration tests for Model Usage & Performance Analytics (#651)."""
from __future__ import annotations
import os
import tempfile
import unittest
from starlette.testclient import TestClient
import control_plane_db
from webui.analytics_loader import (
ANALYTICS_SCHEMA_VERSION,
compute_percentile,
load_analytics,
record_usage,
)
from webui.app import create_app
from webui import console_redaction
class AnalyticsLoaderTest(unittest.TestCase):
def setUp(self) -> None:
self.temp_dir = tempfile.TemporaryDirectory()
self.db_path = os.path.join(self.temp_dir.name, "test_control_plane.sqlite3")
os.environ["GITEA_CONTROL_PLANE_DB"] = self.db_path
self.db = control_plane_db.ControlPlaneDB(db_path=self.db_path)
def tearDown(self) -> None:
self.temp_dir.cleanup()
def test_compute_percentile(self) -> None:
self.assertIsNone(compute_percentile([], 50.0))
self.assertEqual(compute_percentile([100], 50.0), 100.0)
# 2 elements: [100, 200]
self.assertEqual(compute_percentile([100, 200], 50.0), 150.0)
# 100 elements: 1..100
vals = list(range(1, 101))
self.assertEqual(compute_percentile(vals, 50.0), 50.5)
self.assertAlmostEqual(compute_percentile(vals, 90.0), 90.1)
def test_record_and_aggregate_usage(self) -> None:
# Record event 1 (complete data)
u1 = record_usage(
db_path=self.db_path,
remote="dadeschools",
org="Scaled-Tech-Consulting",
repo="Gitea-Tools",
role="author",
model="gemini-3.6-flash",
issue_number=651,
stage="implementation",
input_tokens=1000,
output_tokens=500,
estimated_cost_usd=0.0015,
latency_ms=200,
duration_ms=3000,
metadata={"secret_key": "secret123", "note": "token=secret123"},
)
self.assertGreater(u1, 0)
# Record event 2 (missing tokens and cost -> unknown)
u2 = record_usage(
db_path=self.db_path,
remote="dadeschools",
org="Scaled-Tech-Consulting",
repo="Gitea-Tools",
role="reviewer",
model="claude-3-5-sonnet",
pr_number=846,
stage="review",
latency_ms=500,
duration_ms=6000,
)
self.assertGreater(u2, u1)
snapshot = load_analytics(
db_path=self.db_path,
remote="dadeschools",
org="Scaled-Tech-Consulting",
repo="Gitea-Tools",
)
self.assertTrue(snapshot.ok)
self.assertEqual(snapshot.schema_version, ANALYTICS_SCHEMA_VERSION)
self.assertEqual(snapshot.total_events, 2)
# Verify overall summary
summary = snapshot.overall_summary
self.assertEqual(summary.total_events, 2)
self.assertEqual(summary.events_with_tokens, 1)
self.assertEqual(summary.total_tokens, 1500)
self.assertEqual(summary.events_with_cost, 1)
self.assertEqual(summary.estimated_cost_usd, 0.0015)
self.assertEqual(summary.events_with_latency, 2)
self.assertEqual(summary.latency_p50_ms, 350.0)
# Verify missing data handling (AC 3: not zero-fabricated)
reviewer_model = snapshot.by_model.get("claude-3-5-sonnet")
self.assertIsNotNone(reviewer_model)
self.assertEqual(reviewer_model.total_events, 1)
self.assertEqual(reviewer_model.events_with_tokens, 0)
self.assertIsNone(reviewer_model.total_tokens)
self.assertEqual(reviewer_model.display_tokens, "Unknown")
self.assertEqual(reviewer_model.events_with_cost, 0)
self.assertIsNone(reviewer_model.estimated_cost_usd)
self.assertEqual(reviewer_model.display_cost, "Unknown")
# Verify redaction (AC 4)
e1 = [e for e in snapshot.events if e.usage_id == u1][0]
self.assertIsNotNone(e1.metadata)
self.assertNotIn("secret123", e1.metadata)
self.assertIn("[REDACTED]", e1.metadata)
def test_missing_db_fail_soft(self) -> None:
invalid_path = "/nonexistent_path_dir/db.sqlite3"
snapshot = load_analytics(db_path=invalid_path)
self.assertFalse(snapshot.ok)
self.assertIn("control_plane_db_unavailable", snapshot.reason)
self.assertEqual(snapshot.overall_summary.display_tokens, "Unknown")
class AnalyticsWebUITest(unittest.TestCase):
def setUp(self) -> None:
self.temp_dir = tempfile.TemporaryDirectory()
self.db_path = os.path.join(self.temp_dir.name, "test_webui.sqlite3")
os.environ["GITEA_CONTROL_PLANE_DB"] = self.db_path
self.app = create_app()
self.client = TestClient(self.app)
record_usage(
db_path=self.db_path,
remote="dadeschools",
org="Scaled-Tech-Consulting",
repo="Gitea-Tools",
role="author",
model="gemini-3.6-flash",
issue_number=651,
stage="implementation",
input_tokens=2000,
output_tokens=1000,
estimated_cost_usd=0.003,
latency_ms=150,
duration_ms=2500,
)
def tearDown(self) -> None:
self.temp_dir.cleanup()
def test_analytics_html_route(self) -> None:
response = self.client.get("/analytics")
self.assertEqual(response.status_code, 200)
self.assertIn("Model Usage & Performance Analytics", response.text)
self.assertIn("gemini-3.6-flash", response.text)
self.assertIn("3,000", response.text)
def test_analytics_api_route(self) -> None:
response = self.client.get("/api/v1/analytics")
self.assertEqual(response.status_code, 200)
data = response.json()
self.assertTrue(data["ok"])
self.assertEqual(data["total_events"], 1)
self.assertIn("gemini-3.6-flash", data["by_model"])
def test_analytics_ingest_unauthorized_denied(self) -> None:
"""F2: unauthenticated POST must not write the control-plane DB."""
payload = {
"remote": "dadeschools",
"org": "Scaled-Tech-Consulting",
"repo": "Gitea-Tools",
"role": "reviewer",
"model": "claude-3-5-sonnet",
"pr_number": 846,
"stage": "review",
"input_tokens": 500,
"output_tokens": 100,
"latency_ms": 400,
"metadata": "Review note token=secret456",
}
response = self.client.post("/api/v1/analytics/usage", json=payload)
self.assertEqual(response.status_code, 403)
res_json = response.json()
self.assertFalse(res_json.get("ok", True))
self.assertEqual(res_json.get("error"), "unauthorized")
authorization = res_json.get("authorization") or {}
self.assertFalse(authorization.get("allowed"))
self.assertFalse(authorization.get("execution_enabled"))
# No new row written
res2 = self.client.get("/api/v1/analytics")
self.assertEqual(res2.status_code, 200)
self.assertEqual(res2.json()["total_events"], 1)
def test_html_escapes_script_bearing_model_role_stage(self) -> None:
"""F1: stored XSS — dynamic model/role/stage must render escaped."""
xss = '<script>alert(1)</script>'
record_usage(
db_path=self.db_path,
remote="dadeschools",
org="Scaled-Tech-Consulting",
repo="Gitea-Tools",
role=xss,
model=xss,
stage=xss,
issue_number=999,
status="success",
)
response = self.client.get("/analytics")
self.assertEqual(response.status_code, 200)
# Raw tag must not appear; escaped form must.
self.assertNotIn("<script>alert(1)</script>", response.text)
self.assertIn("&lt;script&gt;alert(1)&lt;/script&gt;", response.text)
def test_load_analytics_coerces_none_scope(self) -> None:
"""F4: None remote/org/repo become empty strings, never None."""
snapshot = load_analytics(db_path=self.db_path, remote=None, org=None, repo=None)
self.assertIsInstance(snapshot.remote, str)
self.assertIsInstance(snapshot.org, str)
self.assertIsInstance(snapshot.repo, str)
self.assertEqual(snapshot.remote, "")
self.assertEqual(snapshot.org, "")
self.assertEqual(snapshot.repo, "")
def test_usage_events_retention_max_rows(self) -> None:
"""F3: record_usage_event enforces USAGE_EVENTS_MAX_ROWS."""
db = control_plane_db.ControlPlaneDB(db_path=self.db_path)
original_max = db.USAGE_EVENTS_MAX_ROWS
try:
db.USAGE_EVENTS_MAX_ROWS = 3
for i in range(5):
db.record_usage_event(
remote="dadeschools",
org="org",
repo="repo",
role="author",
model=f"model-{i}",
stage="test",
)
rows = db.query_usage_events(limit=100)
self.assertLessEqual(len(rows), 3)
# Newest three retained
models = {r["model"] for r in rows}
self.assertEqual(models, {"model-2", "model-3", "model-4"})
finally:
db.USAGE_EVENTS_MAX_ROWS = original_max
if __name__ == "__main__":
unittest.main()
-222
View File
@@ -1,222 +0,0 @@
"""Tests for the read-only workflow policy/guardrail visibility view (#646).
Covers issue #646 acceptance criteria:
1. Console lists major guardrails with source pointers.
2. Secrets redacted.
3. Tests ensure sample secrets never appear.
4. Docs explain read-only nature (asserted here for the page copy; the doc
itself is covered by inspection).
"""
import json
import sys
import unittest
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from starlette.testclient import TestClient
from webui import console_redaction
from webui import policy_inventory
from webui.app import create_app
from webui.policy_inventory import (
PolicyEntry,
PolicyInventorySnapshot,
SourcePointer,
load_policy_inventory,
snapshot_to_dict,
)
from webui.policy_views import render_policy_page
def _entry(key, category, *, active=None, error=None):
return PolicyEntry(
key=key,
title=key.replace("_", " ").title(),
category=category,
summary=f"summary for {key}",
sources=(SourcePointer("src", f"{key}.py", "module"),),
active=active,
documented_default=None,
diff=None,
error=error,
)
def _snapshot(entries):
return PolicyInventorySnapshot(
schema_version=1,
read_only=True,
note="read-only projection",
entries=tuple(entries),
categories=tuple(dict.fromkeys(e.category for e in entries)),
build_errors=(),
)
# The guardrail categories issue #646 names as in-scope.
_EXPECTED_CATEGORIES = {
"role_separation",
"lease_rules",
"worktree_rules",
"merge_confirmation",
"redaction",
"contamination",
"allocator_policy",
"audit_logging",
"mutation_gating",
}
class TestPolicyInventoryModel(unittest.TestCase):
def test_major_guardrails_present(self):
snapshot = load_policy_inventory()
categories = {e.category for e in snapshot.entries}
self.assertEqual(_EXPECTED_CATEGORIES, categories)
self.assertGreaterEqual(len(snapshot.entries), len(_EXPECTED_CATEGORIES))
def test_every_guardrail_has_source_pointers(self):
# AC1: source attribution (file/module/doc) for every guardrail.
snapshot = load_policy_inventory()
for entry in snapshot.entries:
with self.subTest(entry=entry.key):
self.assertTrue(entry.sources, "guardrail must carry source pointers")
for source in entry.sources:
self.assertTrue(source.path)
self.assertIn(source.kind, {"module", "doc", "script", "config"})
def test_diff_reported_where_documented_default_declared(self):
snapshot = load_policy_inventory()
checked_any = False
for entry in snapshot.entries:
if entry.documented_default is None:
self.assertIsNone(entry.diff)
continue
checked_any = True
self.assertIsNotNone(entry.diff)
self.assertEqual(
entry.diff["status"],
"matches_documented_default",
f"{entry.key} drifted from its documented default: {entry.diff}",
)
self.assertTrue(checked_any, "at least one guardrail should declare a default")
def test_live_projections_populate_active(self):
snapshot = load_policy_inventory()
by_key = {e.key: e for e in snapshot.entries}
for key in ("role_separation", "redaction", "audit_logging"):
self.assertIsNone(by_key[key].error, f"{key} projection failed")
self.assertIsInstance(by_key[key].active, dict)
def test_build_entry_is_fail_soft_on_projection_error(self):
def _boom():
raise RuntimeError("projection exploded")
row = (
"redaction",
"Secret redaction",
"redaction",
"summary",
(SourcePointer("x", "webui/console_redaction.py", "module"),),
_boom,
{"redact_before_persist": True},
)
entry = policy_inventory._build_entry(row)
self.assertIsNone(entry.active)
self.assertIsNotNone(entry.error)
self.assertEqual(entry.diff["status"], "active_unavailable")
class TestPolicyRedaction(unittest.TestCase):
def test_real_snapshot_has_no_secret_shapes(self):
# AC3: the real emitted payload never carries a known secret shape.
payload = snapshot_to_dict(load_policy_inventory())
self.assertEqual(console_redaction.scan_for_secrets(payload), [])
def test_planted_keychain_secret_is_redacted(self):
# AC2/AC3: a secret planted in an active projection is masked before emit.
snapshot = _snapshot([
_entry(
"redaction",
"redaction",
active={"leaked": "keychain:prgs-author-super-secret", "roles": ["author"]},
)
])
payload = snapshot_to_dict(snapshot)
blob = json.dumps(payload)
self.assertNotIn("keychain:prgs-author-super-secret", blob)
self.assertEqual(console_redaction.scan_for_secrets(payload), [])
def test_planted_credential_assignment_is_redacted(self):
snapshot = _snapshot([
_entry(
"audit_logging",
"audit_logging",
active={"leaked": "token=abcd1234efgh5678", "append_only": True},
)
])
payload = snapshot_to_dict(snapshot)
blob = json.dumps(payload)
self.assertNotIn("abcd1234efgh5678", blob)
self.assertEqual(console_redaction.scan_for_secrets(payload), [])
class TestPolicyRoutes(unittest.TestCase):
def setUp(self):
self.client = TestClient(create_app())
def test_policy_html_lists_guardrails_with_sources(self):
response = self.client.get("/policy")
self.assertEqual(response.status_code, 200)
text = response.text
self.assertIn("Workflow policy", text)
self.assertIn("Role separation and RBAC", text)
self.assertIn("Source pointers", text)
self.assertIn("task_capability_map.py", text)
self.assertIn("docs/safety-model.md", text)
def test_policy_html_states_read_only(self):
# AC4: the page explains its read-only nature.
text = self.client.get("/policy").text
self.assertIn("read-only", text.lower())
self.assertNotIn("<form", text.lower())
def test_policy_html_has_no_secret_shapes(self):
text = self.client.get("/policy").text
self.assertEqual(console_redaction.scan_for_secrets(text), [])
def test_api_v1_policy_returns_inventory(self):
response = self.client.get("/api/v1/policy")
self.assertEqual(response.status_code, 200)
data = response.json()
self.assertEqual(data["schema_version"], policy_inventory.SCHEMA_VERSION)
self.assertTrue(data["read_only"])
self.assertEqual(data["entry_count"], len(data["entries"]))
self.assertEqual(set(data["categories"]), _EXPECTED_CATEGORIES)
def test_policy_is_read_only_no_post(self):
# AC4 / non-goal: no mutation endpoint.
response = self.client.post("/policy")
self.assertIn(response.status_code, (404, 405))
def test_nav_links_policy(self):
text = self.client.get("/").text
self.assertIn('href="/policy"', text)
class TestPolicyViewFailSoft(unittest.TestCase):
def test_page_renders_when_a_projection_errors(self):
snapshot = _snapshot([
_entry("role_separation", "role_separation", error="active projection unavailable: boom"),
_entry("redaction", "redaction", active={"redact_before_persist": True}),
])
page = render_policy_page(snapshot)
# The errored guardrail surfaces its error; other guardrails still render.
self.assertIn("Active value unavailable", page)
self.assertIn("Redaction", page)
self.assertIn("Workflow policy", page)
if __name__ == "__main__":
unittest.main()
+433
View File
@@ -0,0 +1,433 @@
"""Model usage, token cost, latency, and workflow-performance analytics (#651, Phase 4).
Ingests session instrumentation metrics, aggregates usage/cost/latency percentiles
by project, role, model, issue/PR, and stage, enforcing secret redaction and
explicitly rendering missing metrics as "Unknown" without zero-fabrication.
"""
from __future__ import annotations
import math
from dataclasses import asdict, dataclass
from typing import Any, Sequence
import control_plane_db
from webui import console_redaction
ANALYTICS_SCHEMA_VERSION = 1
@dataclass(frozen=True)
class UsageEvent:
usage_id: int
session_id: str | None
remote: str
org: str
repo: str
project_id: str | None
role: str
model: str
issue_number: int | None
pr_number: int | None
stage: str
input_tokens: int | None
output_tokens: int | None
total_tokens: int | None
estimated_cost_usd: float | None
latency_ms: int | None
duration_ms: int | None
status: str
metadata: str | None
created_at: str
def to_dict(self) -> dict[str, Any]:
d = asdict(self)
if d["metadata"]:
d["metadata"] = console_redaction.redact_text(d["metadata"])
return d
@dataclass(frozen=True)
class GroupMetrics:
name: str
total_events: int
events_with_tokens: int
input_tokens: int | None
output_tokens: int | None
total_tokens: int | None
events_with_cost: int
estimated_cost_usd: float | None
events_with_latency: int
latency_p50_ms: float | None
latency_p90_ms: float | None
latency_p95_ms: float | None
latency_p99_ms: float | None
latency_avg_ms: float | None
events_with_duration: int
duration_avg_ms: float | None
display_tokens: str
display_cost: str
display_latency_p50: str
display_latency_p90: str
display_duration_avg: str
def to_dict(self) -> dict[str, Any]:
return asdict(self)
@dataclass(frozen=True)
class AnalyticsSnapshot:
ok: bool
reason: str
schema_version: int
remote: str
org: str
repo: str
total_events: int
overall_summary: GroupMetrics
by_project: dict[str, GroupMetrics]
by_role: dict[str, GroupMetrics]
by_model: dict[str, GroupMetrics]
by_work_item: dict[str, GroupMetrics]
by_stage: dict[str, GroupMetrics]
events: tuple[UsageEvent, ...]
def to_dict(self) -> dict[str, Any]:
return {
"ok": self.ok,
"reason": self.reason,
"schema_version": self.schema_version,
"remote": self.remote,
"org": self.org,
"repo": self.repo,
"total_events": self.total_events,
"overall_summary": self.overall_summary.to_dict(),
"by_project": {k: v.to_dict() for k, v in self.by_project.items()},
"by_role": {k: v.to_dict() for k, v in self.by_role.items()},
"by_model": {k: v.to_dict() for k, v in self.by_model.items()},
"by_work_item": {k: v.to_dict() for k, v in self.by_work_item.items()},
"by_stage": {k: v.to_dict() for k, v in self.by_stage.items()},
"events": [e.to_dict() for e in self.events],
}
def compute_percentile(values: Sequence[float | int], percentile: float) -> float | None:
if not values:
return None
sorted_vals = sorted(values)
n = len(sorted_vals)
if n == 1:
return float(sorted_vals[0])
k = (n - 1) * (percentile / 100.0)
f = math.floor(k)
c = math.ceil(k)
if f == c:
return float(sorted_vals[int(f)])
d0 = sorted_vals[int(f)] * (c - k)
d1 = sorted_vals[int(c)] * (k - f)
return float(d0 + d1)
def aggregate_events(group_name: str, events: Sequence[UsageEvent]) -> GroupMetrics:
total_events = len(events)
if total_events == 0:
return GroupMetrics(
name=group_name,
total_events=0,
events_with_tokens=0,
input_tokens=None,
output_tokens=None,
total_tokens=None,
events_with_cost=0,
estimated_cost_usd=None,
events_with_latency=0,
latency_p50_ms=None,
latency_p90_ms=None,
latency_p95_ms=None,
latency_p99_ms=None,
latency_avg_ms=None,
events_with_duration=0,
duration_avg_ms=None,
display_tokens="Unknown",
display_cost="Unknown",
display_latency_p50="Unknown",
display_latency_p90="Unknown",
display_duration_avg="Unknown",
)
token_events = [
e for e in events
if e.total_tokens is not None or e.input_tokens is not None or e.output_tokens is not None
]
events_with_tokens = len(token_events)
if events_with_tokens > 0:
input_tokens = sum(e.input_tokens or 0 for e in token_events)
output_tokens = sum(e.output_tokens or 0 for e in token_events)
total_tokens = sum(
e.total_tokens if e.total_tokens is not None else ((e.input_tokens or 0) + (e.output_tokens or 0))
for e in token_events
)
display_tokens = f"{total_tokens:,}"
else:
input_tokens = None
output_tokens = None
total_tokens = None
display_tokens = "Unknown"
cost_events = [e for e in events if e.estimated_cost_usd is not None]
events_with_cost = len(cost_events)
if events_with_cost > 0:
estimated_cost_usd = round(sum(e.estimated_cost_usd for e in cost_events), 6)
display_cost = f"${estimated_cost_usd:.4f}"
else:
estimated_cost_usd = None
display_cost = "Unknown"
latency_vals = [e.latency_ms for e in events if e.latency_ms is not None]
events_with_latency = len(latency_vals)
if events_with_latency > 0:
latency_p50_ms = compute_percentile(latency_vals, 50.0)
latency_p90_ms = compute_percentile(latency_vals, 90.0)
latency_p95_ms = compute_percentile(latency_vals, 95.0)
latency_p99_ms = compute_percentile(latency_vals, 99.0)
latency_avg_ms = round(sum(latency_vals) / events_with_latency, 2)
display_latency_p50 = f"{round(latency_p50_ms, 1)} ms" if latency_p50_ms is not None else "Unknown"
display_latency_p90 = f"{round(latency_p90_ms, 1)} ms" if latency_p90_ms is not None else "Unknown"
else:
latency_p50_ms = None
latency_p90_ms = None
latency_p95_ms = None
latency_p99_ms = None
latency_avg_ms = None
display_latency_p50 = "Unknown"
display_latency_p90 = "Unknown"
duration_vals = [e.duration_ms for e in events if e.duration_ms is not None]
events_with_duration = len(duration_vals)
if events_with_duration > 0:
duration_avg_ms = round(sum(duration_vals) / events_with_duration, 2)
display_duration_avg = f"{round(duration_avg_ms / 1000.0, 2)} s" if duration_avg_ms >= 1000 else f"{round(duration_avg_ms, 1)} ms"
else:
duration_avg_ms = None
display_duration_avg = "Unknown"
return GroupMetrics(
name=group_name,
total_events=total_events,
events_with_tokens=events_with_tokens,
input_tokens=input_tokens,
output_tokens=output_tokens,
total_tokens=total_tokens,
events_with_cost=events_with_cost,
estimated_cost_usd=estimated_cost_usd,
events_with_latency=events_with_latency,
latency_p50_ms=latency_p50_ms,
latency_p90_ms=latency_p90_ms,
latency_p95_ms=latency_p95_ms,
latency_p99_ms=latency_p99_ms,
latency_avg_ms=latency_avg_ms,
events_with_duration=events_with_duration,
duration_avg_ms=duration_avg_ms,
display_tokens=display_tokens,
display_cost=display_cost,
display_latency_p50=display_latency_p50,
display_latency_p90=display_latency_p90,
display_duration_avg=display_duration_avg,
)
def record_usage(
*,
db_path: str | None = None,
session_id: str | None = None,
remote: str = "dadeschools",
org: str = "",
repo: str = "",
project_id: str | None = None,
role: str = "unknown",
model: str = "unknown",
issue_number: int | None = None,
pr_number: int | None = None,
stage: str = "unknown",
input_tokens: int | None = None,
output_tokens: int | None = None,
total_tokens: int | None = None,
estimated_cost_usd: float | None = None,
latency_ms: int | None = None,
duration_ms: int | None = None,
status: str = "success",
metadata: str | dict[str, Any] | None = None,
created_at: str | None = None,
) -> int:
"""Ingest/record a single usage event with optional metrics."""
db = control_plane_db.ControlPlaneDB(db_path=db_path)
return db.record_usage_event(
session_id=session_id,
remote=remote,
org=org,
repo=repo,
project_id=project_id,
role=role,
model=model,
issue_number=issue_number,
pr_number=pr_number,
stage=stage,
input_tokens=input_tokens,
output_tokens=output_tokens,
total_tokens=total_tokens,
estimated_cost_usd=estimated_cost_usd,
latency_ms=latency_ms,
duration_ms=duration_ms,
status=status,
metadata=metadata,
created_at=created_at,
)
def load_analytics(
*,
db_path: str | None = None,
remote: str | None = None,
org: str | None = None,
repo: str | None = None,
project_id: str | None = None,
role: str | None = None,
model: str | None = None,
stage: str | None = None,
issue_number: int | None = None,
pr_number: int | None = None,
limit: int = 500,
) -> AnalyticsSnapshot:
"""Load analytics snapshot aggregated by project, role, model, issue/PR, and stage."""
remote_filter = (remote or "").strip() or None
org_filter = (org or "").strip() or None
repo_filter = (repo or "").strip() or None
role_filter = (role or "").strip() or None
model_filter = (model or "").strip() or None
stage_filter = (stage or "").strip() or None
# F4: coerce optional scope filters to str so AnalyticsSnapshot never holds None.
scope_remote = (remote or "").strip()
scope_org = (org or "").strip()
scope_repo = (repo or "").strip()
try:
db = control_plane_db.ControlPlaneDB(db_path=db_path)
rows = db.query_usage_events(
remote=remote_filter,
org=org_filter,
repo=repo_filter,
project_id=project_id,
role=role_filter,
model=model_filter,
stage=stage_filter,
issue_number=issue_number,
pr_number=pr_number,
limit=limit,
)
except Exception as exc:
empty_summary = aggregate_events("Overall", [])
return AnalyticsSnapshot(
ok=False,
reason=f"control_plane_db_unavailable: {exc}",
schema_version=ANALYTICS_SCHEMA_VERSION,
remote=scope_remote,
org=scope_org,
repo=scope_repo,
total_events=0,
overall_summary=empty_summary,
by_project={},
by_role={},
by_model={},
by_work_item={},
by_stage={},
events=(),
)
parsed_events: list[UsageEvent] = []
for r in rows:
meta = console_redaction.redact_text(r.get("metadata")) if r.get("metadata") else None
parsed_events.append(
UsageEvent(
usage_id=r["usage_id"],
session_id=r.get("session_id"),
remote=r.get("remote") or scope_remote,
org=r.get("org") or scope_org,
repo=r.get("repo") or scope_repo,
project_id=r.get("project_id"),
role=r.get("role") or "unknown",
model=r.get("model") or "unknown",
issue_number=r.get("issue_number"),
pr_number=r.get("pr_number"),
stage=r.get("stage") or "unknown",
input_tokens=r.get("input_tokens"),
output_tokens=r.get("output_tokens"),
total_tokens=r.get("total_tokens"),
estimated_cost_usd=r.get("estimated_cost_usd"),
latency_ms=r.get("latency_ms"),
duration_ms=r.get("duration_ms"),
status=r.get("status") or "success",
metadata=meta,
created_at=r.get("created_at") or "",
)
)
overall_summary = aggregate_events("Overall", parsed_events)
# Group by project
groups_by_project: dict[str, list[UsageEvent]] = {}
for e in parsed_events:
key = e.project_id or (f"{e.org}/{e.repo}" if e.org and e.repo else "default")
groups_by_project.setdefault(key, []).append(e)
by_project = {k: aggregate_events(k, v) for k, v in groups_by_project.items()}
# Group by role
groups_by_role: dict[str, list[UsageEvent]] = {}
for e in parsed_events:
groups_by_role.setdefault(e.role, []).append(e)
by_role = {k: aggregate_events(k, v) for k, v in groups_by_role.items()}
# Group by model
groups_by_model: dict[str, list[UsageEvent]] = {}
for e in parsed_events:
groups_by_model.setdefault(e.model, []).append(e)
by_model = {k: aggregate_events(k, v) for k, v in groups_by_model.items()}
# Group by work item
groups_by_work_item: dict[str, list[UsageEvent]] = {}
for e in parsed_events:
if e.issue_number:
key = f"issue #{e.issue_number}"
elif e.pr_number:
key = f"pr #{e.pr_number}"
else:
key = "unlinked"
groups_by_work_item.setdefault(key, []).append(e)
by_work_item = {k: aggregate_events(k, v) for k, v in groups_by_work_item.items()}
# Group by stage
groups_by_stage: dict[str, list[UsageEvent]] = {}
for e in parsed_events:
groups_by_stage.setdefault(e.stage, []).append(e)
by_stage = {k: aggregate_events(k, v) for k, v in groups_by_stage.items()}
return AnalyticsSnapshot(
ok=True,
reason="ok",
schema_version=ANALYTICS_SCHEMA_VERSION,
remote=scope_remote,
org=scope_org,
repo=scope_repo,
total_events=len(parsed_events),
overall_summary=overall_summary,
by_project=by_project,
by_role=by_role,
by_model=by_model,
by_work_item=by_work_item,
by_stage=by_stage,
events=tuple(parsed_events),
)
def snapshot_to_dict(snapshot: AnalyticsSnapshot) -> dict[str, Any]:
return snapshot.to_dict()
+248
View File
@@ -0,0 +1,248 @@
"""HTML views for the Model Usage & Performance Analytics console (#651)."""
from __future__ import annotations
import html
from webui.analytics_loader import AnalyticsSnapshot, GroupMetrics, UsageEvent
from webui.layout import render_page
def _escape(text: object) -> str:
"""HTML-escape dynamic analytics fields (mirrors audit_views / project_views)."""
return html.escape(str(text), quote=True)
def _render_badge(text: str, badge_type: str = "muted") -> str:
return f'<span class="badge badge-{_escape(badge_type)}">{_escape(text)}</span>'
def _render_group_table(title: str, groups: dict[str, GroupMetrics], key_header: str = "Group") -> str:
if not groups:
return (
f"<h3>{_escape(title)}</h3>"
'<div class="card"><p class="muted">No telemetry events recorded for this dimension.</p></div>'
)
rows = []
for key, g in sorted(groups.items(), key=lambda x: x[1].total_events, reverse=True):
cost_cell = (
f'<span class="accent">{_escape(g.display_cost)}</span>'
if g.events_with_cost > 0
else _render_badge("Unknown")
)
tokens_cell = (
_escape(g.display_tokens)
if g.events_with_tokens > 0
else _render_badge("Unknown")
)
lat_p50 = (
_escape(g.display_latency_p50)
if g.events_with_latency > 0
else _render_badge("Unknown")
)
lat_p90 = (
_escape(g.display_latency_p90)
if g.events_with_latency > 0
else _render_badge("Unknown")
)
dur_avg = (
_escape(g.display_duration_avg)
if g.events_with_duration > 0
else _render_badge("Unknown")
)
rows.append(
"<tr>"
f"<td><strong>{_escape(key)}</strong></td>"
f"<td>{g.total_events}</td>"
f"<td>{tokens_cell}</td>"
f"<td>{cost_cell}</td>"
f"<td>{lat_p50}</td>"
f"<td>{lat_p90}</td>"
f"<td>{dur_avg}</td>"
"</tr>"
)
rows_html = "".join(rows)
return f"""
<h3>{_escape(title)}</h3>
<div class="card" style="overflow-x: auto;">
<table class="data-table">
<thead>
<tr>
<th>{_escape(key_header)}</th>
<th>Events</th>
<th>Total Tokens</th>
<th>Est. Cost</th>
<th>Latency (p50)</th>
<th>Latency (p90)</th>
<th>Avg Stage Duration</th>
</tr>
</thead>
<tbody>
{rows_html}
</tbody>
</table>
</div>
"""
def _render_events_table(events: tuple[UsageEvent, ...]) -> str:
if not events:
return (
"<h3>Recent Usage & Instrumentation Events</h3>"
'<div class="card"><p class="muted">No individual telemetry events recorded yet. Opt-in instrumentation via session logging or authorized POST /api/v1/analytics/usage.</p></div>'
)
rows = []
for e in list(events)[-50:]: # Display latest 50
if e.issue_number is not None:
work_item = f"issue #{e.issue_number}"
elif e.pr_number is not None:
work_item = f"pr #{e.pr_number}"
else:
work_item = "unlinked"
tokens = (
_escape(f"{e.total_tokens:,}")
if e.total_tokens is not None
else _render_badge("Unknown")
)
cost = (
_escape(f"${e.estimated_cost_usd:.4f}")
if e.estimated_cost_usd is not None
else _render_badge("Unknown")
)
latency = (
_escape(f"{e.latency_ms} ms")
if e.latency_ms is not None
else _render_badge("Unknown")
)
duration = (
_escape(f"{e.duration_ms} ms")
if e.duration_ms is not None
else _render_badge("Unknown")
)
status_badge = _render_badge(
e.status, "success" if e.status == "success" else "danger"
)
rows.append(
"<tr>"
f"<td>#{e.usage_id}</td>"
f"<td><small>{_escape(e.created_at)}</small></td>"
f"<td><span class=\"badge\">{_escape(e.role)}</span></td>"
f"<td><strong>{_escape(e.model)}</strong></td>"
f"<td>{_escape(e.stage)}</td>"
f"<td>{_escape(work_item)}</td>"
f"<td>{tokens}</td>"
f"<td>{cost}</td>"
f"<td>{latency}</td>"
f"<td>{duration}</td>"
f"<td>{status_badge}</td>"
"</tr>"
)
rows_html = "".join(rows)
return f"""
<h3>Recent Telemetry Events</h3>
<div class="card" style="overflow-x: auto;">
<table class="data-table">
<thead>
<tr>
<th>ID</th>
<th>Timestamp</th>
<th>Role</th>
<th>Model</th>
<th>Stage</th>
<th>Work Item</th>
<th>Tokens</th>
<th>Cost</th>
<th>Latency</th>
<th>Duration</th>
<th>Status</th>
</tr>
</thead>
<tbody>
{rows_html}
</tbody>
</table>
</div>
"""
def render_analytics_page(snapshot: AnalyticsSnapshot) -> str:
"""Render the main Model Usage & Performance Analytics console page."""
summary = snapshot.overall_summary
kpi_tokens = (
_escape(summary.display_tokens)
if summary.events_with_tokens > 0
else _render_badge("Unknown")
)
kpi_cost = (
_escape(summary.display_cost)
if summary.events_with_cost > 0
else _render_badge("Unknown")
)
kpi_lat_p50 = (
_escape(summary.display_latency_p50)
if summary.events_with_latency > 0
else _render_badge("Unknown")
)
kpi_dur_avg = (
_escape(summary.display_duration_avg)
if summary.events_with_duration > 0
else _render_badge("Unknown")
)
status_notice = ""
if not snapshot.ok:
status_notice = (
f'<div class="card warning-card"><strong>Degraded Data Source:</strong> '
f'{_escape(snapshot.reason)}</div>'
)
body_html = f"""
<h2>Model Usage & Performance Analytics (Phase 4)</h2>
<p class="muted">
Durable console analytics for model usage, token cost, latency percentiles, and workflow-stage performance correlated to issues, PRs, and worker roles.
</p>
{status_notice}
<div class="notice-card" style="background: rgba(91, 159, 212, 0.1); border: 1px solid var(--border); padding: 0.75rem 1rem; border-radius: 6px; margin-bottom: 1.5rem;">
<small><strong>Note on telemetry fidelity:</strong> Missing data or untracked metrics are explicitly labeled as <em>Unknown</em>. No token costs or latency metrics are zero-fabricated.</small>
</div>
<div class="card-grid" style="display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 1rem; margin-bottom: 1.5rem;">
<div class="card">
<span class="muted" style="font-size: 0.85rem;">Total Events</span>
<h3 style="margin: 0.25rem 0 0 0;">{summary.total_events}</h3>
</div>
<div class="card">
<span class="muted" style="font-size: 0.85rem;">Total Tokens</span>
<h3 style="margin: 0.25rem 0 0 0;">{kpi_tokens}</h3>
</div>
<div class="card">
<span class="muted" style="font-size: 0.85rem;">Est. Token Cost</span>
<h3 style="margin: 0.25rem 0 0 0;">{kpi_cost}</h3>
</div>
<div class="card">
<span class="muted" style="font-size: 0.85rem;">Latency (p50)</span>
<h3 style="margin: 0.25rem 0 0 0;">{kpi_lat_p50}</h3>
</div>
<div class="card">
<span class="muted" style="font-size: 0.85rem;">Avg Stage Duration</span>
<h3 style="margin: 0.25rem 0 0 0;">{kpi_dur_avg}</h3>
</div>
</div>
{_render_group_table("Usage & Cost by Model", snapshot.by_model, "Model")}
{_render_group_table("Performance by Workflow Stage", snapshot.by_stage, "Stage")}
{_render_group_table("Usage & Cost by Role", snapshot.by_role, "Role")}
{_render_group_table("Work Item Analytics", snapshot.by_work_item, "Work Item")}
{_render_events_table(snapshot.events)}
"""
return render_page(title="Model Usage & Performance Analytics", body_html=body_html)
+118 -15
View File
@@ -46,9 +46,13 @@ from webui.worktree_scanner import load_hygiene_snapshot, snapshot_to_dict as wo
from webui.worktree_views import render_worktrees_page from webui.worktree_views import render_worktrees_page
from webui.runtime_health import load_runtime_snapshot, snapshot_to_dict as runtime_snapshot_to_dict from webui.runtime_health import load_runtime_snapshot, snapshot_to_dict as runtime_snapshot_to_dict
from webui.runtime_views import render_runtime_page from webui.runtime_views import render_runtime_page
from webui.policy_inventory import load_policy_inventory, snapshot_to_dict as policy_snapshot_to_dict
from webui.policy_views import render_policy_page
from webui.timeline import load_timeline, snapshot_to_dict as timeline_snapshot_to_dict from webui.timeline import load_timeline, snapshot_to_dict as timeline_snapshot_to_dict
from webui.analytics_loader import (
load_analytics,
record_usage,
snapshot_to_dict as analytics_snapshot_to_dict,
)
from webui.analytics_views import render_analytics_page
from webui.system_health import ( from webui.system_health import (
API_PATH as SYSTEM_HEALTH_API_PATH, API_PATH as SYSTEM_HEALTH_API_PATH,
load_system_health, load_system_health,
@@ -304,17 +308,6 @@ async def api_runtime(_request: Request) -> JSONResponse:
return JSONResponse(runtime_snapshot_to_dict(load_runtime_snapshot())) return JSONResponse(runtime_snapshot_to_dict(load_runtime_snapshot()))
async def policy(_request: Request) -> HTMLResponse:
snapshot = load_policy_inventory()
return HTMLResponse(
render_page(title="Policy", body_html=render_policy_page(snapshot))
)
async def api_v1_policy(_request: Request) -> JSONResponse:
return JSONResponse(policy_snapshot_to_dict(load_policy_inventory()))
async def _parse_audit_form(request: Request) -> tuple[str, str | None]: async def _parse_audit_form(request: Request) -> tuple[str, str | None]:
if request.method == "GET": if request.method == "GET":
return "", None return "", None
@@ -580,6 +573,114 @@ async def api_v1_timeline(request: Request) -> JSONResponse:
return JSONResponse(timeline_snapshot_to_dict(snapshot), status_code=status_code) return JSONResponse(timeline_snapshot_to_dict(snapshot), status_code=status_code)
async def analytics(request: Request) -> HTMLResponse:
"""Read-only model usage, token cost, latency, and performance analytics HTML view (#651)."""
snapshot = load_analytics(
remote=request.query_params.get("remote"),
org=request.query_params.get("org"),
repo=request.query_params.get("repo"),
role=request.query_params.get("role"),
model=request.query_params.get("model"),
stage=request.query_params.get("stage"),
issue_number=_query_int(request, "issue"),
pr_number=_query_int(request, "pr"),
limit=_query_int(request, "limit") or 200,
)
return HTMLResponse(render_analytics_page(snapshot))
async def api_v1_analytics(request: Request) -> JSONResponse:
"""Read-only model usage, token cost, latency, and performance analytics API (#651)."""
snapshot = load_analytics(
remote=request.query_params.get("remote"),
org=request.query_params.get("org"),
repo=request.query_params.get("repo"),
role=request.query_params.get("role"),
model=request.query_params.get("model"),
stage=request.query_params.get("stage"),
issue_number=_query_int(request, "issue"),
pr_number=_query_int(request, "pr"),
limit=_query_int(request, "limit") or 500,
)
status_code = 200 if snapshot.ok else 500
return JSONResponse(analytics_snapshot_to_dict(snapshot), status_code=status_code)
async def api_v1_analytics_ingest(request: Request) -> JSONResponse:
"""Optional session instrumentation ingestion endpoint (#651).
Fail-closed write: every request is authorized through console_authz
(``record_analytics_usage``) before any control-plane DB mutation. Phase 1
keeps ``execution_enabled=False`` and denies unauthenticated callers, so
this route cannot be used as an unauthenticated write or XSS injection
vector (PR #876 F2).
"""
try:
body = await request.json()
except Exception:
body = {}
if not isinstance(body, dict):
body = {}
principal = resolve_principal(headers=dict(request.headers))
decision = authorize(
"record_analytics_usage", principal, for_execution=True
)
allowed = bool(decision.allowed and decision.execution_enabled)
console_audit.record_event(
action_id="record_analytics_usage",
result=(
console_audit.RESULT_ALLOWED
if allowed
else console_audit.RESULT_DENIED
),
decision=decision,
principal=principal,
target=_audit_target("record_analytics_usage", body),
request_id=_request_id(),
detail=decision.detail,
)
authorization = decision.to_dict()
if not allowed:
return JSONResponse(
{
"ok": False,
"error": "unauthorized",
"detail": (
"POST /api/v1/analytics/usage requires an authenticated "
"principal with record_analytics_usage execution enabled"
),
"authorization": authorization,
},
status_code=403,
)
usage_id = record_usage(
session_id=body.get("session_id"),
remote=body.get("remote", "dadeschools"),
org=body.get("org", ""),
repo=body.get("repo", ""),
project_id=body.get("project_id"),
role=body.get("role", "unknown"),
model=body.get("model", "unknown"),
issue_number=body.get("issue_number") or body.get("issue"),
pr_number=body.get("pr_number") or body.get("pr"),
stage=body.get("stage", "unknown"),
input_tokens=body.get("input_tokens"),
output_tokens=body.get("output_tokens"),
total_tokens=body.get("total_tokens"),
estimated_cost_usd=body.get("estimated_cost_usd"),
latency_ms=body.get("latency_ms"),
duration_ms=body.get("duration_ms"),
status=body.get("status", "success"),
metadata=body.get("metadata"),
)
return JSONResponse(
{"ok": True, "usage_id": usage_id, "authorization": authorization},
status_code=201,
)
async def method_not_allowed(request: Request, _exc: Exception) -> Response: async def method_not_allowed(request: Request, _exc: Exception) -> Response:
path = request.url.path path = request.url.path
if path in _AUDIT_MUTATION_PATHS and request.method == "POST": if path in _AUDIT_MUTATION_PATHS and request.method == "POST":
@@ -620,9 +721,11 @@ def create_app(*, bind_host: str | None = None) -> Starlette:
Route("/api/prompts", api_prompts, methods=["GET"]), Route("/api/prompts", api_prompts, methods=["GET"]),
Route("/runtime", runtime, methods=["GET"]), Route("/runtime", runtime, methods=["GET"]),
Route("/api/runtime", api_runtime, methods=["GET"]), Route("/api/runtime", api_runtime, methods=["GET"]),
Route("/policy", policy, methods=["GET"]),
Route("/api/v1/policy", api_v1_policy, methods=["GET"]),
Route("/api/v1/timeline", api_v1_timeline, methods=["GET"]), Route("/api/v1/timeline", api_v1_timeline, methods=["GET"]),
Route("/analytics", analytics, methods=["GET"]),
Route("/api/analytics", api_v1_analytics, methods=["GET"]),
Route("/api/v1/analytics", api_v1_analytics, methods=["GET"]),
Route("/api/v1/analytics/usage", api_v1_analytics_ingest, methods=["POST"]),
Route("/audit", audit, methods=["GET", "POST"]), Route("/audit", audit, methods=["GET", "POST"]),
Route("/api/audit", api_audit, methods=["GET", "POST"]), Route("/api/audit", api_audit, methods=["GET", "POST"]),
Route("/worktrees", worktrees, methods=["GET"]), Route("/worktrees", worktrees, methods=["GET"]),
+13
View File
@@ -236,6 +236,19 @@ _ACTION_SPECS: tuple[ConsoleAction, ...] = (
phase=3, phase=3,
summary="Remove a remote feature branch.", summary="Remove a remote feature branch.",
), ),
# #651 analytics ingest: local control-plane write, not a Gitea mutation.
# Phase 2 gated write so Phase 1 (ACTIVE_PHASE=1) fails closed on execution.
ConsoleAction(
action_id="record_analytics_usage",
task_key="record_analytics_usage",
action_class=CLASS_WRITE,
minimum_role=OPERATOR,
requires_confirmation=True,
dual_control=False,
break_glass=False,
phase=2,
summary="Ingest a model-usage / latency analytics event into the control-plane DB.",
),
) )
ACTIONS: dict[str, ConsoleAction] = {a.action_id: a for a in _ACTION_SPECS} ACTIONS: dict[str, ConsoleAction] = {a.action_id: a for a in _ACTION_SPECS}
+1
View File
@@ -65,6 +65,7 @@ NAV_GROUPS: tuple[NavGroup, ...] = (
)), )),
NavGroup("Insights", ( NavGroup("Insights", (
NavItem("/insights", "Insights", "stub"), NavItem("/insights", "Insights", "stub"),
NavItem("/analytics", "Analytics"),
NavItem("/audit", "Audit"), NavItem("/audit", "Audit"),
)), )),
) )
-387
View File
@@ -1,387 +0,0 @@
"""Read-only workflow policy and guardrail inventory for the web UI (#646).
Policy and guardrails live in code, profiles, docs, and skills. An operator
cannot *see* the active workflow policy configuration from the console without
reading the repository tree. This module projects the major guardrails into a
redacted, machine-readable inventory with source attribution (file / module /
doc), so the console can render them as HTML tables with source pointers.
Design constraints (Phase 3, #646):
- **Read-only projection.** Nothing here edits policy or exposes a toggle that
could weaken a gate. It reports what is already enforced elsewhere.
- **Source attribution without secrets.** Every guardrail carries pointers to
the file/module/doc that owns it. Live values are compact summaries derived
from the safe policy accessors that already exist (``rbac_matrix``,
``redaction_policy``, ``audit_policy``); raw regex, tokens, and endpoints are
never embedded.
- **Redact before emit.** ``snapshot_to_dict`` runs the whole payload through
``console_redaction.redact_payload`` so a planted or accidental secret in any
projected value degrades to the placeholder rather than reaching a client.
- **Fail soft.** A projection that raises is recorded as a per-entry error and
never takes the page down; a guardrail is still listed with its sources.
- **Diff vs documented defaults where feasible.** When a guardrail declares a
documented invariant, the active projection is compared against it and the
result is reported; otherwise the diff is explicitly ``None`` with a reason.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Callable
from webui import console_audit
from webui import console_authz
from webui import console_redaction
SCHEMA_VERSION = 1
READ_ONLY_NOTE = (
"Read-only projection of guardrails enforced in code, profiles, docs, and "
"skills. This view never edits policy and exposes no gate-weakening toggle."
)
@dataclass(frozen=True)
class SourcePointer:
"""Where a guardrail is defined. Attribution only — never a secret."""
label: str
path: str
kind: str # "module" | "doc" | "script" | "config"
anchor: str | None = None
def to_dict(self) -> dict[str, Any]:
return {
"label": self.label,
"path": self.path,
"kind": self.kind,
"anchor": self.anchor,
}
@dataclass(frozen=True)
class PolicyEntry:
key: str
title: str
category: str
summary: str
sources: tuple[SourcePointer, ...]
active: dict[str, Any] | None
documented_default: dict[str, Any] | None
diff: dict[str, Any] | None
error: str | None = None
def to_dict(self) -> dict[str, Any]:
return {
"key": self.key,
"title": self.title,
"category": self.category,
"summary": self.summary,
"sources": [s.to_dict() for s in self.sources],
"active": self.active,
"documented_default": self.documented_default,
"diff": self.diff,
"error": self.error,
}
@dataclass(frozen=True)
class PolicyInventorySnapshot:
schema_version: int
read_only: bool
note: str
entries: tuple[PolicyEntry, ...]
categories: tuple[str, ...]
build_errors: tuple[str, ...]
def _diff_active_vs_default(
active: dict[str, Any] | None,
documented_default: dict[str, Any] | None,
) -> dict[str, Any] | None:
"""Compare only the keys the documented default declares.
Returns ``None`` when no documented default is declared (diff not feasible)
or when the active projection is unavailable. Otherwise reports, per
declared key, whether the active value matches the documented invariant.
"""
if not documented_default:
return None
if not active:
return {"status": "active_unavailable", "checked": {}}
checked: dict[str, Any] = {}
matches = True
for key, expected in documented_default.items():
observed = active.get(key)
ok = observed == expected
matches = matches and ok
checked[key] = {"expected": expected, "observed": observed, "matches": ok}
return {
"status": "matches_documented_default" if matches else "drift_detected",
"checked": checked,
}
# ── Live projections (compact, safe, fail-soft) ──────────────────────────────
# Each returns a small dict of already-safe machine values. They are module
# level so tests can substitute one to prove the redaction pass runs.
def _project_role_separation() -> dict[str, Any]:
matrix = console_authz.rbac_matrix()
return {
"model_version": matrix.get("model_version"),
"active_phase": matrix.get("active_phase"),
"roles": [r.get("role") for r in matrix.get("roles", [])],
"privileged_action_count": len(matrix.get("privileged_actions", [])),
"default_decision": matrix.get("default_decision"),
"execution_enabled": matrix.get("execution_enabled"),
}
def _project_redaction() -> dict[str, Any]:
policy = console_redaction.redaction_policy()
return {
"policy_version": policy.get("policy_version"),
"placeholder": policy.get("placeholder"),
"applies_to": policy.get("applies_to"),
"console_detector_count": len(policy.get("console_rules", [])),
"redact_before_persist": policy.get("redact_before_persist"),
"failure_mode": policy.get("failure_mode"),
}
def _project_audit() -> dict[str, Any]:
policy = console_audit.audit_policy()
return {
"schema_version": policy.get("schema_version"),
"required_field_count": len(policy.get("required_fields", [])),
"results": policy.get("results"),
"retention_defaults_days": policy.get("retention_defaults_days"),
"append_only": policy.get("append_only"),
"redact_before_persist": policy.get("redact_before_persist"),
"enabled": policy.get("enabled"),
}
def _static(value: dict[str, Any]) -> Callable[[], dict[str, Any]]:
return lambda: dict(value)
# ── Guardrail catalog ────────────────────────────────────────────────────────
# One row per major guardrail. ``project`` yields the active value (may raise;
# caught per entry). ``documented_default`` drives the feasible diff.
_CatalogRow = tuple[
str,
str,
str,
str,
tuple[SourcePointer, ...],
Callable[[], dict[str, Any]] | None,
dict[str, Any] | None,
]
_CATALOG: tuple[_CatalogRow, ...] = (
(
"role_separation",
"Role separation and RBAC",
"role_separation",
"Author, reviewer, merger, and reconciler capabilities are disjoint and "
"role-exclusive; self-review and self-merge are always blocked. The "
"console RBAC model defaults to deny.",
(
SourcePointer("task capability map", "task_capability_map.py", "module"),
SourcePointer("role/namespace gate", "role_namespace_gate.py", "module"),
SourcePointer("console RBAC", "webui/console_authz.py", "module"),
),
_project_role_separation,
{"default_decision": "deny", "execution_enabled": False},
),
(
"lease_rules",
"Issue and PR lease lifecycle",
"lease_rules",
"Durable work is claimed through issue locks and control-plane leases "
"with freshness, expiry, and dead-session recovery; abandoned or stale "
"claims are reclaimed only through the sanctioned recovery path.",
(
SourcePointer("issue lock store", "issue_lock_store.py", "module"),
SourcePointer("branch cleanup guard", "branch_cleanup_guard.py", "module"),
SourcePointer("safety model §5", "docs/safety-model.md", "doc", "5-mutation-gating"),
),
None,
None,
),
(
"worktree_rules",
"Author worktree binding",
"worktree_rules",
"Author mutations require a validated worktree under branches/ derived "
"from the active issue lock; silent fallback to the stable control "
"checkout or master is forbidden (#618).",
(
SourcePointer("author worktree gate", "author_mutation_worktree.py", "module"),
SourcePointer("worktree bootstrap", "scripts/worktree-start", "script"),
SourcePointer("workflow scope guard", "workflow_scope_guard.py", "module"),
),
None,
None,
),
(
"merge_confirmation",
"Explicit merge confirmation",
"merge_confirmation",
"A merge fails closed unless the caller passes the exact confirmation "
"phrase for that PR; reviewing never implies merging.",
(
SourcePointer("merge path", "merge_pr.py", "module"),
SourcePointer("merge tool gate", "gitea_mcp_server.py", "module"),
),
_static({"required_confirmation_format": "MERGE PR <n>", "auto_merge": False}),
{"auto_merge": False},
),
(
"redaction",
"Secret redaction",
"redaction",
"Every console surface runs the shared gitea_audit pass then console "
"patterns before any payload, HTML, log line, or audit record leaves "
"the server; unredactable values fail closed to the placeholder.",
(
SourcePointer("console redaction", "webui/console_redaction.py", "module"),
SourcePointer("shared redaction", "gitea_audit.py", "module"),
SourcePointer("safety model §3", "docs/safety-model.md", "doc", "3-secret-redaction"),
),
_project_redaction,
{"redact_before_persist": True},
),
(
"contamination",
"Contamination containment",
"contamination",
"A session contaminated by a direct stable-branch push or a manual MCP "
"daemon kill is blocked from review, merge, close, and completion "
"mutations until cleared (reconciler-exempt).",
(
SourcePointer("contamination gates", "gitea_mcp_server.py", "module"),
SourcePointer("stable-branch audit", "workflow_scope_guard.py", "module"),
),
None,
None,
),
(
"allocator_policy",
"Work allocation policy",
"allocator_policy",
"Workers do not self-select exclusive work; the controller-owned "
"allocator ranks the complete queue by priority then PRs-before-issues "
"then ascending number, honoring dependency edges and foreign claims.",
(
SourcePointer("allocator", "gitea_mcp_server.py", "module"),
SourcePointer("safety model §5", "docs/safety-model.md", "doc", "5-mutation-gating"),
),
_static(
{
"self_select_exclusive_work": False,
"ranking": "priority desc, PRs before issues, number asc",
"respects_dependency_edges": True,
"respects_foreign_claims": True,
}
),
{"self_select_exclusive_work": False},
),
(
"audit_logging",
"Audit logging",
"audit_logging",
"Console intent and authorization outcomes are recorded to an "
"append-only, redact-before-persist audit log; MCP mutations are "
"recorded by gitea_audit and correlated by request id.",
(
SourcePointer("console audit", "webui/console_audit.py", "module"),
SourcePointer("MCP audit", "gitea_audit.py", "module"),
SourcePointer("safety model §1", "docs/safety-model.md", "doc", "1-audit-logging-and-confirmation"),
),
_project_audit,
{"append_only": True, "redact_before_persist": True},
),
(
"mutation_gating",
"Mutation gating and master parity",
"mutation_gating",
"Mutations fail closed while the running server is stale relative to "
"master, and every mutation is preceded by identity and capability "
"resolution in a fixed pre-flight order.",
(
SourcePointer("mutation gate", "gitea_mcp_server.py", "module"),
SourcePointer("safety model §5", "docs/safety-model.md", "doc", "5-mutation-gating"),
),
_static(
{
"stale_runtime_blocks_mutations": True,
"preflight_order": "whoami -> resolve_task_capability -> mutation",
}
),
{"stale_runtime_blocks_mutations": True},
),
)
def _build_entry(row: _CatalogRow) -> PolicyEntry:
key, title, category, summary, sources, project, documented_default = row
active: dict[str, Any] | None = None
error: str | None = None
if project is not None:
try:
active = project()
except Exception as exc: # noqa: BLE001 — fail soft; never take the page down
active = None
error = f"active projection unavailable: {exc}"
diff = _diff_active_vs_default(active, documented_default)
return PolicyEntry(
key=key,
title=title,
category=category,
summary=summary,
sources=sources,
active=active,
documented_default=documented_default,
diff=diff,
error=error,
)
def load_policy_inventory() -> PolicyInventorySnapshot:
"""Build the read-only guardrail inventory. Never raises for one bad entry."""
entries: list[PolicyEntry] = []
build_errors: list[str] = []
for row in _CATALOG:
try:
entries.append(_build_entry(row))
except Exception as exc: # noqa: BLE001 — one row must not break the rest
build_errors.append(f"{row[0]}: {exc}")
categories = tuple(dict.fromkeys(e.category for e in entries))
return PolicyInventorySnapshot(
schema_version=SCHEMA_VERSION,
read_only=True,
note=READ_ONLY_NOTE,
entries=tuple(entries),
categories=categories,
build_errors=tuple(build_errors),
)
def snapshot_to_dict(snapshot: PolicyInventorySnapshot) -> dict[str, Any]:
"""Serialize the snapshot, redacting the entire payload before it is emitted."""
payload = {
"schema_version": snapshot.schema_version,
"read_only": snapshot.read_only,
"note": snapshot.note,
"categories": list(snapshot.categories),
"entry_count": len(snapshot.entries),
"entries": [entry.to_dict() for entry in snapshot.entries],
"build_errors": list(snapshot.build_errors),
}
return console_redaction.redact_payload(payload)
-104
View File
@@ -1,104 +0,0 @@
"""HTML views for the workflow policy and guardrail inventory (#646)."""
from __future__ import annotations
import html
import json
from webui.policy_inventory import PolicyEntry, PolicyInventorySnapshot
def _source_pointer(source) -> str:
path = source.path
if source.anchor:
path = f"{path}#{source.anchor}"
return (
f"<li>{html.escape(source.label)}"
f"<code>{html.escape(path)}</code> "
f"<span class='muted'>({html.escape(source.kind)})</span></li>"
)
def _active_block(entry: PolicyEntry) -> str:
if entry.error:
return (
"<p class='muted'><strong>Active value unavailable:</strong> "
f"{html.escape(entry.error)}</p>"
)
if not entry.active:
return "<p class='muted'>No live projection for this guardrail.</p>"
pretty = json.dumps(entry.active, indent=2, sort_keys=True, default=str)
return f"<pre class='prompt-text'>{html.escape(pretty)}</pre>"
def _diff_block(entry: PolicyEntry) -> str:
if entry.diff is None:
if entry.documented_default is None:
return "<p class='muted'>Diff vs documented default: not feasible (no declared default).</p>"
return "<p class='muted'>Diff vs documented default: unavailable.</p>"
status = entry.diff.get("status", "unknown")
badge = "badge-claimed" if status == "matches_documented_default" else "badge-blocked"
rows = []
for key, cell in (entry.diff.get("checked") or {}).items():
marker = "" if cell.get("matches") else ""
rows.append(
"<tr>"
f"<td><code>{html.escape(str(key))}</code></td>"
f"<td><code>{html.escape(str(cell.get('expected')))}</code></td>"
f"<td><code>{html.escape(str(cell.get('observed')))}</code></td>"
f"<td>{marker}</td>"
"</tr>"
)
table = ""
if rows:
table = (
"<table class='detail'><thead><tr>"
"<th>Key</th><th>Documented</th><th>Active</th><th>Match</th>"
"</tr></thead><tbody>"
f"{''.join(rows)}</tbody></table>"
)
return (
f"<p class='meta'>Diff vs documented default: "
f"<span class='badge {badge}'>{html.escape(status)}</span></p>"
f"{table}"
)
def _entry_card(entry: PolicyEntry) -> str:
sources = "".join(_source_pointer(s) for s in entry.sources)
return (
"<div class='prompt-card'>"
f"<h3>{html.escape(entry.title)} "
f"<span class='badge'>{html.escape(entry.category)}</span></h3>"
f"<p>{html.escape(entry.summary)}</p>"
"<p class='meta'><strong>Source pointers</strong></p>"
f"<ul>{sources}</ul>"
"<p class='meta'><strong>Active configuration</strong></p>"
f"{_active_block(entry)}"
f"{_diff_block(entry)}"
"</div>"
)
def render_policy_page(snapshot: PolicyInventorySnapshot) -> str:
categories = ", ".join(html.escape(c) for c in snapshot.categories) or "none"
cards = "".join(_entry_card(e) for e in snapshot.entries)
build_errors = ""
if snapshot.build_errors:
items = "".join(
f"<li>{html.escape(err)}</li>" for err in snapshot.build_errors
)
build_errors = (
"<div class='stub'><p><strong>Some guardrails could not be built:"
f"</strong></p><ul>{items}</ul></div>"
)
return (
"<h2>Workflow policy &amp; guardrails</h2>"
f"<p class='muted'>{html.escape(snapshot.note)}</p>"
f"<p class='meta'>Schema v{snapshot.schema_version} · "
f"{len(snapshot.entries)} guardrails · categories: {categories}</p>"
f"{build_errors}"
f"{cards}"
"<p class='muted'>This page is read-only. It reports enforced policy "
"and never edits or weakens a gate. Secret values are redacted.</p>"
)