|
| 1 | +from __future__ import annotations |
| 2 | + |
| 3 | +from datetime import datetime, timezone |
| 4 | +from pathlib import Path |
| 5 | + |
| 6 | +import pytest |
| 7 | + |
| 8 | +from llm_observability_analytics.contracts.models import ( |
| 9 | + LLMInteractionEvent, |
| 10 | + ModelExecutionContext, |
| 11 | + TokenUsageRecord, |
| 12 | + LatencyRecord, |
| 13 | + SourceGroundingReference, |
| 14 | + RetrievalTraceEvent, |
| 15 | +) |
| 16 | +from llm_observability_analytics.events.loader import ( |
| 17 | + load_interaction_events, |
| 18 | + load_retrieval_trace_events, |
| 19 | +) |
| 20 | + |
| 21 | + |
| 22 | +def _now_iso() -> str: |
| 23 | + return datetime.now(tz=timezone.utc).isoformat() |
| 24 | + |
| 25 | + |
| 26 | +def _make_interaction(query_id: str, trace_id: str) -> LLMInteractionEvent: |
| 27 | + mc = ModelExecutionContext( |
| 28 | + query_id=query_id, |
| 29 | + trace_id=trace_id, |
| 30 | + model_version="m-v", |
| 31 | + dataset_version=None, |
| 32 | + provider="prov", |
| 33 | + model_name="name", |
| 34 | + ) |
| 35 | + tu = TokenUsageRecord( |
| 36 | + query_id=query_id, |
| 37 | + trace_id=trace_id, |
| 38 | + model_version="m-v", |
| 39 | + dataset_version=None, |
| 40 | + input_tokens=1, |
| 41 | + output_tokens=2, |
| 42 | + recorded_at=datetime.now(timezone.utc), |
| 43 | + ) |
| 44 | + lat = LatencyRecord( |
| 45 | + query_id=query_id, |
| 46 | + trace_id=trace_id, |
| 47 | + request_timestamp=datetime.now(timezone.utc), |
| 48 | + response_timestamp=datetime.now(timezone.utc), |
| 49 | + latency_ms=123, |
| 50 | + ) |
| 51 | + ref = SourceGroundingReference( |
| 52 | + query_id=query_id, trace_id=trace_id, document_id="doc1", chunk_id="chk1" |
| 53 | + ) |
| 54 | + return LLMInteractionEvent( |
| 55 | + query_id=query_id, |
| 56 | + trace_id=trace_id, |
| 57 | + request_timestamp=datetime.now(timezone.utc), |
| 58 | + response_timestamp=datetime.now(timezone.utc), |
| 59 | + prompt_text="p", |
| 60 | + response_text="r", |
| 61 | + model_context=mc, |
| 62 | + token_usage=tu, |
| 63 | + latency=lat, |
| 64 | + retrieval_references=[ref], |
| 65 | + ) |
| 66 | + |
| 67 | + |
| 68 | +def _make_retrieval(query_id: str, trace_id: str) -> RetrievalTraceEvent: |
| 69 | + ref = SourceGroundingReference( |
| 70 | + query_id=query_id, trace_id=trace_id, document_id="doc1", chunk_id="chk1" |
| 71 | + ) |
| 72 | + return RetrievalTraceEvent( |
| 73 | + query_id=query_id, |
| 74 | + trace_id=trace_id, |
| 75 | + retrieval_timestamp=datetime.now(timezone.utc), |
| 76 | + query_text="hello", |
| 77 | + retrieval_system="r", |
| 78 | + top_k=1, |
| 79 | + references=[ref], |
| 80 | + ) |
| 81 | + |
| 82 | + |
| 83 | +def test_load_interaction_events_success(tmp_path: Path) -> None: |
| 84 | + p = tmp_path / "interactions.jsonl" |
| 85 | + evt = _make_interaction("q1", "t1") |
| 86 | + p.write_text(evt.to_json() + "\n", encoding="utf-8") |
| 87 | + |
| 88 | + out = load_interaction_events(p, max_events=10) |
| 89 | + assert len(out) == 1 |
| 90 | + assert out[0].query_id == "q1" |
| 91 | + |
| 92 | + |
| 93 | +def test_load_retrieval_trace_events_success(tmp_path: Path) -> None: |
| 94 | + p = tmp_path / "retrieval.jsonl" |
| 95 | + evt = _make_retrieval("q2", "t2") |
| 96 | + p.write_text(evt.to_json() + "\n", encoding="utf-8") |
| 97 | + |
| 98 | + out = load_retrieval_trace_events(p, max_events=10) |
| 99 | + assert len(out) == 1 |
| 100 | + assert out[0].query_id == "q2" |
| 101 | + |
| 102 | + |
| 103 | +def test_load_invalid_json_raises(tmp_path: Path) -> None: |
| 104 | + p = tmp_path / "broken.jsonl" |
| 105 | + p.write_text("{not-json}\n", encoding="utf-8") |
| 106 | + with pytest.raises(ValueError): |
| 107 | + load_interaction_events(p, max_events=10) |
| 108 | + |
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