mosaic/telemetry-client-py
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feat: Python telemetry client SDK v0.1.0

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Standalone Python package (mosaicstack-telemetry) for reporting
task-completion telemetry and querying predictions from the Mosaic
Stack Telemetry server.

- Sync/async TelemetryClient with context manager support
- Thread-safe EventQueue with bounded deque
- BatchSubmitter with httpx, exponential backoff, Retry-After
- PredictionCache with TTL
- EventBuilder convenience class
- All types standalone (no server dependency)
- 55 tests, 90% coverage, mypy strict clean

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jason Woltje
2026-02-07 23:25:27 -06:00
parent 0b29302f43
commit f02207e33c
7 changed files with 752 additions and 56 deletions
Download Patch File Download Diff File Expand all files Collapse all files

44
src/mosaicstack_telemetry/__init__.py
View File

@@ -38,32 +38,28 @@ from mosaicstack_telemetry.types.predictions import (
__version__ = "0.1.0"
__all__ = [
# Client
"TelemetryClient",
"TelemetryConfig",
"EventBuilder",
"EventQueue",
"PredictionCache",
# Types - Events
"TaskCompletionEvent",
"TaskType",
"Complexity",
"Harness",
"Provider",
"QualityGate",
"Outcome",
"RepoSizeCategory",
# Types - Predictions
"PredictionQuery",
"PredictionResponse",
"PredictionData",
"PredictionMetadata",
"TokenDistribution",
"CorrectionFactors",
"QualityPrediction",
# Types - Common
"BatchEventRequest",
"BatchEventResponse",
"BatchEventResult",
"Complexity",
"CorrectionFactors",
"EventBuilder",
"EventQueue",
"Harness",
"Outcome",
"PredictionCache",
"PredictionData",
"PredictionMetadata",
"PredictionQuery",
"PredictionResponse",
"Provider",
"QualityGate",
"QualityPrediction",
"RepoSizeCategory",
"TaskCompletionEvent",
"TaskType",
"TelemetryClient",
"TelemetryConfig",
"TelemetryError",
"TokenDistribution",
]

4
src/mosaicstack_telemetry/client.py
View File

@@ -123,7 +123,7 @@ class TelemetryClient:
if response.status_code == 200:
data = response.json()
results = data.get("results", [])
for query, result_data in zip(queries, results):
for query, result_data in zip(queries, results, strict=False):
pred = PredictionResponse.model_validate(result_data)
self._prediction_cache.put(query, pred)
logger.debug("Refreshed %d predictions", len(results))
@@ -153,7 +153,7 @@ class TelemetryClient:
if response.status_code == 200:
data = response.json()
results = data.get("results", [])
for query, result_data in zip(queries, results):
for query, result_data in zip(queries, results, strict=False):
pred = PredictionResponse.model_validate(result_data)
self._prediction_cache.put(query, pred)
logger.debug("Refreshed %d predictions", len(results))

24
src/mosaicstack_telemetry/submitter.py
View File

@@ -20,8 +20,8 @@ logger = logging.getLogger("mosaicstack_telemetry")
def _backoff_delay(attempt: int, base: float = 1.0, maximum: float = 60.0) -> float:
"""Calculate exponential backoff with jitter."""
delay = min(base * (2**attempt), maximum)
jitter = random.uniform(0, delay * 0.5) # noqa: S311
delay: float = min(base * (2**attempt), maximum)
jitter: float = random.uniform(0, delay * 0.5) # noqa: S311
return delay + jitter
@@ -78,9 +78,7 @@ def submit_batch_sync(
continue
if response.status_code == 403:
logger.error(
"Authentication failed (403): API key may not match instance_id"
)
logger.error("Authentication failed (403): API key may not match instance_id")
return None
logger.warning(
@@ -110,7 +108,11 @@ def submit_batch_sync(
logger.debug("Backing off for %.1f seconds before retry", delay)
time.sleep(delay)
logger.error("All %d attempts failed for batch of %d events", config.max_retries + 1, len(events))
logger.error(
"All %d attempts failed for batch of %d events",
config.max_retries + 1,
len(events),
)
return None
@@ -169,9 +171,7 @@ async def submit_batch_async(
continue
if response.status_code == 403:
logger.error(
"Authentication failed (403): API key may not match instance_id"
)
logger.error("Authentication failed (403): API key may not match instance_id")
return None
logger.warning(
@@ -201,5 +201,9 @@ async def submit_batch_async(
logger.debug("Backing off for %.1f seconds before retry", delay)
await asyncio.sleep(delay)
logger.error("All %d attempts failed for batch of %d events", config.max_retries + 1, len(events))
logger.error(
"All %d attempts failed for batch of %d events",
config.max_retries + 1,
len(events),
)
return None

3
tests/conftest.py
View File

@@ -177,7 +177,6 @@ def make_batch_response_json(events: list[TaskCompletionEvent]) -> dict:
"accepted": len(events),
"rejected": 0,
"results": [
{"event_id": str(e.event_id), "status": "accepted", "error": None}
for e in events
{"event_id": str(e.event_id), "status": "accepted", "error": None} for e in events
],
}

15
tests/test_client.py
View File

@@ -10,9 +10,7 @@ from mosaicstack_telemetry.client import TelemetryClient
from mosaicstack_telemetry.config import TelemetryConfig
from mosaicstack_telemetry.types.events import (
Complexity,
Outcome,
Provider,
TaskCompletionEvent,
TaskType,
)
from mosaicstack_telemetry.types.predictions import (
@@ -24,7 +22,6 @@ from tests.conftest import (
TEST_API_KEY,
TEST_INSTANCE_ID,
TEST_SERVER_URL,
make_batch_response_json,
make_event,
)
@@ -146,9 +143,7 @@ class TestTelemetryClientPredictions:
)
assert client.get_prediction(query) is None
def test_get_prediction_after_cache_populated(
self, config: TelemetryConfig
) -> None:
def test_get_prediction_after_cache_populated(self, config: TelemetryConfig) -> None:
"""get_prediction returns cached value."""
client = TelemetryClient(config)
query = PredictionQuery(
@@ -241,9 +236,7 @@ class TestTelemetryClientPredictions:
assert result.metadata.sample_size == 60
@respx.mock
async def test_refresh_predictions_server_error(
self, config: TelemetryConfig
) -> None:
async def test_refresh_predictions_server_error(self, config: TelemetryConfig) -> None:
"""refresh_predictions handles server errors gracefully."""
query = PredictionQuery(
task_type=TaskType.IMPLEMENTATION,
@@ -262,9 +255,7 @@ class TestTelemetryClientPredictions:
# Cache should still be empty
assert client.get_prediction(query) is None
async def test_refresh_predictions_empty_list(
self, config: TelemetryConfig
) -> None:
async def test_refresh_predictions_empty_list(self, config: TelemetryConfig) -> None:
"""refresh_predictions with empty list is a no-op."""
client = TelemetryClient(config)
await client.refresh_predictions([])

7
tests/test_event_builder.py
View File

@@ -100,12 +100,7 @@ class TestEventBuilder:
def test_custom_timestamp(self) -> None:
"""Custom timestamp can be set."""
ts = datetime(2026, 1, 15, 12, 0, 0, tzinfo=timezone.utc)
event = (
EventBuilder(instance_id=TEST_INSTANCE_ID)
.timestamp(ts)
.model("test-model")
.build()
)
event = EventBuilder(instance_id=TEST_INSTANCE_ID).timestamp(ts).model("test-model").build()
assert event.timestamp == ts

711
uv.lock generated Normal file
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