feat: add lightweight request tracing for debugging
Adds JSON-based tracing system for local development that captures
the full request flow through Tatlock's multi-agent architecture.
- Trace/Span dataclasses with automatic timing and nesting
- Context-var based propagation for async-safe tracing
- trace_span async context manager for clean instrumentation
- Traces written to logs/traces/{trace_id}.json
- REST API for listing and retrieving traces (/traces)
- Standalone HTML viewer with timeline visualization
Enabled via DEBUG=true environment variable.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
+4
-1
@@ -68,7 +68,10 @@ dmypy.json
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.ruff_cache/
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# Logs
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logs/
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logs/*
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!logs/traces/
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logs/traces/*
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!logs/traces/viewer.html
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*.log
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# Database
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,434 @@
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"""
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Lightweight request tracing for local development.
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Captures the full request flow through Tatlock's multi-agent architecture
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as structured JSON traces for debugging and optimization.
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Enable via DEBUG=true environment variable.
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Traces are written to logs/traces/{trace_id}.json
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View with logs/traces/viewer.html
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"""
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from contextlib import asynccontextmanager
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from contextvars import ContextVar
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from enum import Enum
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from pathlib import Path
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from typing import Any
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import json
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import secrets
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from src.core.logging_config import get_logger
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logger = get_logger(__name__)
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class SpanType(str, Enum):
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"""Types of traced operations."""
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ROUTER = "router"
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STEWARD = "steward"
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TATLOCK = "tatlock"
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EXPERT = "expert"
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TOOL = "tool"
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class SpanStatus(str, Enum):
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"""Span completion status."""
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OK = "ok"
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ERROR = "error"
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@dataclass
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class Span:
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"""A single traced operation."""
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span_id: str
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name: str
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type: SpanType
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start_time: datetime
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parent_id: str | None = None
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end_time: datetime | None = None
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status: SpanStatus = SpanStatus.OK
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metadata: dict[str, Any] = field(default_factory=dict)
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details: dict[str, Any] = field(default_factory=dict)
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children: list[str] = field(default_factory=list)
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error: str | None = None
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@property
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def duration_ms(self) -> float | None:
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"""Calculate duration in milliseconds."""
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if self.end_time and self.start_time:
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return (self.end_time - self.start_time).total_seconds() * 1000
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return None
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def to_dict(self) -> dict[str, Any]:
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"""Convert span to dictionary for JSON serialization."""
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result = {
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"span_id": self.span_id,
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"parent_id": self.parent_id,
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"name": self.name,
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"type": self.type.value,
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"start_time": self.start_time.isoformat(),
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"end_time": self.end_time.isoformat() if self.end_time else None,
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"duration_ms": round(self.duration_ms, 2) if self.duration_ms else None,
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"status": self.status.value,
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"metadata": self.metadata if self.metadata else None,
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}
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# Only include non-empty optional fields
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if self.details:
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result["details"] = self.details
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if self.children:
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result["children"] = self.children
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if self.error:
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result["error"] = self.error
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return {k: v for k, v in result.items() if v is not None}
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@dataclass
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class Trace:
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"""Complete trace of a request."""
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trace_id: str
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conversation_id: str | None
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user: str
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timestamp: datetime
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request: dict[str, Any]
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spans: list[Span] = field(default_factory=list)
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response: dict[str, Any] | None = None
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status: str = "in_progress"
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@property
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def total_duration_ms(self) -> float | None:
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"""Calculate total trace duration from span timings."""
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if not self.spans:
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return None
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start = min(s.start_time for s in self.spans)
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ends = [s.end_time for s in self.spans if s.end_time]
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if not ends:
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return None
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end = max(ends)
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return (end - start).total_seconds() * 1000
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def to_dict(self) -> dict[str, Any]:
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"""Convert trace to dictionary for JSON serialization."""
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return {
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"trace_id": self.trace_id,
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"conversation_id": self.conversation_id,
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"user": self.user,
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"timestamp": self.timestamp.isoformat(),
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"total_duration_ms": round(self.total_duration_ms, 2) if self.total_duration_ms else None,
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"status": self.status,
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"request": self.request,
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"response": self.response,
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"spans": [s.to_dict() for s in self.spans],
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}
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# ContextVar for async-safe trace propagation
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_current_trace: ContextVar[Trace | None] = ContextVar("current_trace", default=None)
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_current_span: ContextVar[Span | None] = ContextVar("current_span", default=None)
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def tracing_enabled() -> bool:
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"""Check if tracing is enabled (requires DEBUG=true)."""
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from src.core.config import config
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return config.DEBUG
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def _generate_id(prefix: str = "") -> str:
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"""Generate unique ID with optional prefix."""
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return f"{prefix}{secrets.token_hex(8)}"
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def start_trace(
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conversation_id: str | None,
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user: str,
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request: dict[str, Any],
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) -> Trace | None:
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"""
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Start a new trace for a request.
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Args:
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conversation_id: Conversation identifier
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user: User identifier
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request: Request data (should include preview and full)
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Returns:
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Trace object if tracing enabled, None otherwise
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"""
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if not tracing_enabled():
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return None
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trace = Trace(
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trace_id=_generate_id("trace_"),
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conversation_id=conversation_id,
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user=user,
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timestamp=datetime.now(timezone.utc),
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request=request,
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)
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_current_trace.set(trace)
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logger.debug("trace_started", trace_id=trace.trace_id, user=user)
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return trace
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def get_current_trace() -> Trace | None:
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"""Get the current trace from context."""
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return _current_trace.get()
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def get_current_span() -> Span | None:
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"""Get the current span from context."""
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return _current_span.get()
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def start_span(
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name: str,
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span_type: SpanType,
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metadata: dict[str, Any] | None = None,
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details: dict[str, Any] | None = None,
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) -> Span | None:
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"""
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Start a new span within the current trace.
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Args:
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name: Span name (e.g., "steward_analysis")
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span_type: Type of operation
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metadata: Quick-access metadata (shown in timeline)
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details: Expandable details (prompts, full responses)
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Returns:
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Span object if tracing enabled, None otherwise
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"""
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trace = get_current_trace()
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if not trace:
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return None
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parent = get_current_span()
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span = Span(
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span_id=_generate_id("span_"),
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name=name,
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type=span_type,
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start_time=datetime.now(timezone.utc),
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parent_id=parent.span_id if parent else None,
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metadata=metadata or {},
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details=details or {},
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)
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# Add to parent's children list
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if parent:
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parent.children.append(span.span_id)
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trace.spans.append(span)
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_current_span.set(span)
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logger.debug(
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"span_started",
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span_id=span.span_id,
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name=name,
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type=span_type.value,
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parent_id=span.parent_id,
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)
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return span
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def end_span(
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span: Span | None = None,
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status: SpanStatus = SpanStatus.OK,
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metadata_update: dict[str, Any] | None = None,
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details_update: dict[str, Any] | None = None,
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error: str | None = None,
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) -> None:
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"""
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End a span and restore parent as current.
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Args:
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span: Span to end (defaults to current span)
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status: Completion status
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metadata_update: Additional metadata to merge
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details_update: Additional details to merge
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error: Error message if failed
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"""
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if span is None:
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span = get_current_span()
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if not span:
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return
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span.end_time = datetime.now(timezone.utc)
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span.status = status
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if error:
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span.error = error
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span.status = SpanStatus.ERROR
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if metadata_update:
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span.metadata.update(metadata_update)
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if details_update:
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span.details.update(details_update)
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# Restore parent span as current
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trace = get_current_trace()
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if trace and span.parent_id:
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parent = next((s for s in trace.spans if s.span_id == span.parent_id), None)
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_current_span.set(parent)
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else:
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_current_span.set(None)
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logger.debug(
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"span_ended",
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span_id=span.span_id,
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duration_ms=span.duration_ms,
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status=status.value,
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)
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def end_trace(
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response: dict[str, Any] | None = None,
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status: str = "completed",
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) -> str | None:
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"""
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End the current trace and write to file.
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Args:
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response: Response data to include
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status: Final trace status ("completed" or "error")
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Returns:
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Path to trace file if written, None otherwise
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"""
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trace = get_current_trace()
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if not trace:
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return None
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trace.response = response
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trace.status = status
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# Write trace to file
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trace_path = _write_trace(trace)
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# Clear context
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_current_trace.set(None)
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_current_span.set(None)
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logger.info(
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"trace_completed",
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trace_id=trace.trace_id,
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total_duration_ms=round(trace.total_duration_ms, 2) if trace.total_duration_ms else None,
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span_count=len(trace.spans),
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path=str(trace_path) if trace_path else None,
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)
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return str(trace_path) if trace_path else None
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def _write_trace(trace: Trace) -> Path | None:
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"""Write trace to JSON file."""
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try:
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# Ensure traces directory exists
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traces_dir = Path("logs/traces")
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traces_dir.mkdir(parents=True, exist_ok=True)
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# Write trace file
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trace_path = traces_dir / f"{trace.trace_id}.json"
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with open(trace_path, "w") as f:
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json.dump(trace.to_dict(), f, indent=2, default=str)
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return trace_path
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except Exception as e:
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logger.error("trace_write_failed", error=str(e), trace_id=trace.trace_id)
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return None
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@asynccontextmanager
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async def trace_span(
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name: str,
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span_type: SpanType,
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metadata: dict[str, Any] | None = None,
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details: dict[str, Any] | None = None,
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):
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"""
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Async context manager for tracing a span.
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Automatically handles start/end timing and error capture.
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Usage:
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async with trace_span("steward_analysis", SpanType.STEWARD) as span:
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result = await analyze_request(...)
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if span:
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span.metadata["result_count"] = len(result)
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Args:
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name: Span name
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span_type: Type of operation
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metadata: Initial metadata
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details: Initial details (expandable in viewer)
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Yields:
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Span object or None if tracing disabled
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"""
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span = start_span(name, span_type, metadata, details)
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try:
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yield span
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except Exception as e:
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end_span(span, SpanStatus.ERROR, error=str(e))
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raise
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else:
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end_span(span, SpanStatus.OK)
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def add_tool_spans_from_messages(messages: list[Any], parent_span: Span | None = None) -> None:
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"""
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Extract tool calls from PydanticAI result messages and add as child spans.
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Call this after an agent.run() to capture tool-level timing retroactively.
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Note: Since we don't have actual timing, we estimate based on sequence.
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Args:
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messages: List from result.new_messages()
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parent_span: Parent span to attach tool spans to
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"""
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trace = get_current_trace()
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if not trace or not parent_span:
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return
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# Import PydanticAI message types
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try:
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from pydantic_ai.messages import ModelRequest, ModelResponse, ToolCallPart, ToolReturnPart
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except ImportError:
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return
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# Track tool calls and their returns
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tool_calls: dict[str, dict[str, Any]] = {}
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for msg in messages:
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if isinstance(msg, ModelResponse):
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for part in msg.parts:
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if isinstance(part, ToolCallPart):
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tool_calls[part.tool_call_id] = {
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"name": part.tool_name,
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"args": part.args if hasattr(part, 'args') else {},
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}
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elif isinstance(msg, ModelRequest):
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for part in msg.parts:
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if isinstance(part, ToolReturnPart):
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if part.tool_call_id in tool_calls:
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tool_info = tool_calls[part.tool_call_id]
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# Create a span for this tool call
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span = Span(
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span_id=_generate_id("span_"),
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name=tool_info["name"],
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type=SpanType.TOOL,
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start_time=parent_span.start_time, # Approximate
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end_time=parent_span.end_time or datetime.now(timezone.utc),
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parent_id=parent_span.span_id,
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status=SpanStatus.OK,
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metadata={
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"tool_name": tool_info["name"],
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"args_preview": str(tool_info.get("args", {}))[:100],
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},
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details={
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"args": tool_info.get("args", {}),
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"result": part.content[:2000] if isinstance(part.content, str) else str(part.content)[:2000],
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},
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)
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parent_span.children.append(span.span_id)
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trace.spans.append(span)
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@@ -0,0 +1,153 @@
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"""
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Trace viewer router.
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Serves the trace viewer UI and trace files when tracing is enabled.
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Only available when DEBUG=true.
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"""
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from pathlib import Path
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from fastapi import APIRouter, HTTPException
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from fastapi.responses import HTMLResponse, JSONResponse
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from src.core.config import config
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from src.core.logging_config import get_logger
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logger = get_logger(__name__)
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router = APIRouter(prefix="/traces", tags=["traces"])
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TRACES_DIR = Path("logs/traces")
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VIEWER_PATH = TRACES_DIR / "viewer.html"
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def tracing_enabled() -> bool:
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"""Check if tracing is enabled."""
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return config.DEBUG
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@router.get("", response_class=HTMLResponse)
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async def get_trace_viewer():
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"""
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Serve the trace viewer UI.
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Returns the standalone HTML viewer for browsing traces.
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"""
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if not tracing_enabled():
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raise HTTPException(status_code=404, detail="Tracing not enabled")
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if not VIEWER_PATH.exists():
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raise HTTPException(status_code=404, detail="Viewer not found")
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return HTMLResponse(content=VIEWER_PATH.read_text())
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@router.get("/list")
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async def list_traces(
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limit: int = 50,
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since_minutes: int | None = None,
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status: str | None = None,
|
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search: str | None = None,
|
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):
|
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"""
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List available trace files.
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Returns most recent traces first, with basic metadata.
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Args:
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limit: Maximum number of traces to return (default 50)
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since_minutes: Only return traces from the last N minutes
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status: Filter by status (completed, error, streaming)
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search: Search in request preview text
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"""
|
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if not tracing_enabled():
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raise HTTPException(status_code=404, detail="Tracing not enabled")
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||||
|
||||
if not TRACES_DIR.exists():
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return {"traces": [], "total": 0}
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|
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import json
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from datetime import datetime, timezone, timedelta
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|
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# Calculate cutoff time if filtering by time
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cutoff_time = None
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if since_minutes:
|
||||
cutoff_time = datetime.now(timezone.utc) - timedelta(minutes=since_minutes)
|
||||
|
||||
# Get all trace files, sorted by modification time (newest first)
|
||||
trace_files = sorted(
|
||||
TRACES_DIR.glob("trace_*.json"),
|
||||
key=lambda p: p.stat().st_mtime,
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
traces = []
|
||||
for path in trace_files:
|
||||
if len(traces) >= limit:
|
||||
break
|
||||
|
||||
try:
|
||||
with open(path) as f:
|
||||
data = json.load(f)
|
||||
|
||||
# Parse timestamp for filtering
|
||||
trace_timestamp = data.get("timestamp")
|
||||
if cutoff_time and trace_timestamp:
|
||||
try:
|
||||
ts = datetime.fromisoformat(trace_timestamp.replace('Z', '+00:00'))
|
||||
if ts < cutoff_time:
|
||||
continue
|
||||
except (ValueError, TypeError):
|
||||
pass
|
||||
|
||||
# Filter by status
|
||||
trace_status = data.get("status", "")
|
||||
if status and trace_status != status:
|
||||
continue
|
||||
|
||||
# Filter by search text
|
||||
request_preview = data.get("request", {}).get("input_preview", "")
|
||||
if search and search.lower() not in request_preview.lower():
|
||||
continue
|
||||
|
||||
traces.append({
|
||||
"trace_id": data.get("trace_id"),
|
||||
"timestamp": trace_timestamp,
|
||||
"user": data.get("user"),
|
||||
"status": trace_status,
|
||||
"total_duration_ms": data.get("total_duration_ms"),
|
||||
"span_count": len(data.get("spans", [])),
|
||||
"request_preview": request_preview[:100],
|
||||
})
|
||||
except Exception as e:
|
||||
logger.warning("trace_list_parse_error", path=str(path), error=str(e))
|
||||
|
||||
return {"traces": traces, "total": len(traces)}
|
||||
|
||||
|
||||
@router.get("/{trace_id}")
|
||||
async def get_trace(trace_id: str):
|
||||
"""
|
||||
Get a specific trace by ID.
|
||||
|
||||
Returns the full trace JSON.
|
||||
"""
|
||||
if not tracing_enabled():
|
||||
raise HTTPException(status_code=404, detail="Tracing not enabled")
|
||||
|
||||
# Sanitize trace_id to prevent path traversal
|
||||
if not trace_id.startswith("trace_") or "/" in trace_id or "\\" in trace_id:
|
||||
raise HTTPException(status_code=400, detail="Invalid trace ID")
|
||||
|
||||
trace_path = TRACES_DIR / f"{trace_id}.json"
|
||||
|
||||
if not trace_path.exists():
|
||||
raise HTTPException(status_code=404, detail="Trace not found")
|
||||
|
||||
try:
|
||||
import json
|
||||
with open(trace_path) as f:
|
||||
data = json.load(f)
|
||||
return JSONResponse(content=data)
|
||||
except Exception as e:
|
||||
logger.error("trace_read_error", trace_id=trace_id, error=str(e))
|
||||
raise HTTPException(status_code=500, detail="Failed to read trace")
|
||||
Reference in New Issue
Block a user