chore(tests): normalize recording IDs and timestamps to reduce git diff noise (#3676)

IDs are now deterministic hashes based on request content, and
timestamps are normalized to constants, eliminating spurious changes
when re-recording tests.

## Changes
- Updated `inference_recorder.py` to normalize IDs and timestamps during
recording
- Added `scripts/normalize_recordings.py` utility to re-normalize
existing recordings
- Created documentation in `tests/integration/recordings/README.md`
- Normalized 350 existing recording files
This commit is contained in:
Ashwin Bharambe 2025-10-03 17:26:11 -07:00 committed by GitHub
parent 6bcd3e25f2
commit 3f36bfaeaa
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GPG key ID: B5690EEEBB952194
348 changed files with 10154 additions and 8329 deletions

View file

@ -80,9 +80,43 @@ def setup_inference_recording():
return inference_recording(mode=mode, storage_dir=storage_dir)
def _serialize_response(response: Any) -> Any:
def _normalize_response_data(data: dict[str, Any], request_hash: str) -> dict[str, Any]:
"""Normalize fields that change between recordings but don't affect functionality.
This reduces noise in git diffs by making IDs deterministic and timestamps constant.
"""
# Only normalize ID for completion/chat responses, not for model objects
# Model objects have "object": "model" and the ID is the actual model identifier
if "id" in data and data.get("object") != "model":
data["id"] = f"rec-{request_hash[:12]}"
# Normalize timestamp to epoch (0) (for OpenAI-style responses)
# But not for model objects where created timestamp might be meaningful
if "created" in data and data.get("object") != "model":
data["created"] = 0
# Normalize Ollama-specific timestamp fields
if "created_at" in data:
data["created_at"] = "1970-01-01T00:00:00.000000Z"
# Normalize Ollama-specific duration fields (these vary based on system load)
if "total_duration" in data and data["total_duration"] is not None:
data["total_duration"] = 0
if "load_duration" in data and data["load_duration"] is not None:
data["load_duration"] = 0
if "prompt_eval_duration" in data and data["prompt_eval_duration"] is not None:
data["prompt_eval_duration"] = 0
if "eval_duration" in data and data["eval_duration"] is not None:
data["eval_duration"] = 0
return data
def _serialize_response(response: Any, request_hash: str = "") -> Any:
if hasattr(response, "model_dump"):
data = response.model_dump(mode="json")
# Normalize fields to reduce noise
data = _normalize_response_data(data, request_hash)
return {
"__type__": f"{response.__class__.__module__}.{response.__class__.__qualname__}",
"__data__": data,
@ -141,10 +175,12 @@ class ResponseStorage:
if "body" in serialized_response:
if isinstance(serialized_response["body"], list):
# Handle streaming responses (list of chunks)
serialized_response["body"] = [_serialize_response(chunk) for chunk in serialized_response["body"]]
serialized_response["body"] = [
_serialize_response(chunk, request_hash) for chunk in serialized_response["body"]
]
else:
# Handle single response
serialized_response["body"] = _serialize_response(serialized_response["body"])
serialized_response["body"] = _serialize_response(serialized_response["body"], request_hash)
# If this is an Ollama /api/tags recording, include models digest in filename to distinguish variants
endpoint = request.get("endpoint")

120
scripts/normalize_recordings.py Executable file
View file

@ -0,0 +1,120 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""
Utility script to re-normalize existing recording files.
This script reads all recording JSON files and applies the normalization
to make IDs deterministic and timestamps constant. This reduces noise in
git diffs when recordings are re-recorded.
Usage:
python scripts/normalize_recordings.py [--dry-run]
"""
import argparse
import json
from pathlib import Path
def normalize_response_data(data: dict, request_hash: str) -> dict:
"""Normalize fields that change between recordings but don't affect functionality."""
# Only normalize ID for completion/chat responses, not for model objects
# Model objects have "object": "model" and the ID is the actual model identifier
if "id" in data and data.get("object") != "model":
data["id"] = f"rec-{request_hash[:12]}"
# Normalize timestamp to epoch (0) (for OpenAI-style responses)
# But not for model objects where created timestamp might be meaningful
if "created" in data and data.get("object") != "model":
data["created"] = 0
# Normalize Ollama-specific timestamp fields
if "created_at" in data:
data["created_at"] = "1970-01-01T00:00:00.000000Z"
# Normalize Ollama-specific duration fields (these vary based on system load)
if "total_duration" in data and data["total_duration"] is not None:
data["total_duration"] = 0
if "load_duration" in data and data["load_duration"] is not None:
data["load_duration"] = 0
if "prompt_eval_duration" in data and data["prompt_eval_duration"] is not None:
data["prompt_eval_duration"] = 0
if "eval_duration" in data and data["eval_duration"] is not None:
data["eval_duration"] = 0
return data
def normalize_recording_file(file_path: Path, dry_run: bool = False) -> bool:
"""Normalize a single recording file. Returns True if file was modified."""
with open(file_path) as f:
recording = json.load(f)
# Extract request hash from filename (first 12 chars)
request_hash = file_path.stem.split("-")[-1] if "-" in file_path.stem else file_path.stem
modified = False
old_recording = json.dumps(recording, sort_keys=True)
# NOTE: We do NOT normalize request body here because that would change the request hash
# and break recording lookups. The recorder will normalize tool_call_ids in future recordings.
# Normalize response body
if "response" in recording and "body" in recording["response"]:
body = recording["response"]["body"]
if isinstance(body, list):
# Handle streaming responses (list of chunks)
for chunk in body:
if isinstance(chunk, dict) and "__data__" in chunk:
normalize_response_data(chunk["__data__"], request_hash)
elif isinstance(body, dict) and "__data__" in body:
# Handle single response
normalize_response_data(body["__data__"], request_hash)
# Check if anything changed
new_recording = json.dumps(recording, sort_keys=True)
modified = old_recording != new_recording
if modified and not dry_run:
with open(file_path, "w") as f:
json.dump(recording, f, indent=2)
f.write("\n")
return modified
def main():
parser = argparse.ArgumentParser(description="Normalize recording files to reduce git diff noise")
parser.add_argument("--dry-run", action="store_true", help="Show what would be changed without modifying files")
args = parser.parse_args()
recordings_dir = Path(__file__).parent.parent / "tests/integration/recordings/responses"
if not recordings_dir.exists():
print(f"Recordings directory not found: {recordings_dir}")
return 1
modified_count = 0
total_count = 0
for file_path in sorted(recordings_dir.glob("*.json")):
total_count += 1
was_modified = normalize_recording_file(file_path, dry_run=args.dry_run)
if was_modified:
modified_count += 1
status = "[DRY RUN] Would normalize" if args.dry_run else "Normalized"
print(f"{status}: {file_path.name}")
print(f"\n{'[DRY RUN] ' if args.dry_run else ''}Summary: {modified_count}/{total_count} files modified")
return 0
if __name__ == "__main__":
exit(main())

View file

@ -0,0 +1,60 @@
# Test Recording System
This directory contains recorded inference API responses used for deterministic testing without requiring live API access.
## Structure
- `responses/` - JSON files containing request/response pairs for inference operations
## Recording Format
Each JSON file contains:
- `request` - The normalized request parameters (method, endpoint, body)
- `response` - The response body (serialized from Pydantic models)
## Normalization
To reduce noise in git diffs, the recording system automatically normalizes fields that vary between runs but don't affect test behavior:
### OpenAI-style responses
- `id` - Deterministic hash based on request: `rec-{request_hash[:12]}`
- `created` - Normalized to epoch: `0`
### Ollama-style responses
- `created_at` - Normalized to: `"1970-01-01T00:00:00.000000Z"`
- `total_duration` - Normalized to: `0`
- `load_duration` - Normalized to: `0`
- `prompt_eval_duration` - Normalized to: `0`
- `eval_duration` - Normalized to: `0`
These normalizations ensure that re-recording tests produces minimal git diffs, making it easier to review actual changes to test behavior.
## Usage
### Recording mode
Set `LLAMA_STACK_TEST_INFERENCE_MODE=record` to capture new responses:
```bash
LLAMA_STACK_TEST_INFERENCE_MODE=record pytest tests/integration/
```
### Replay mode (default)
Responses are replayed from recordings:
```bash
LLAMA_STACK_TEST_INFERENCE_MODE=replay pytest tests/integration/
```
### Live mode
Skip recordings entirely and use live APIs:
```bash
LLAMA_STACK_TEST_INFERENCE_MODE=live pytest tests/integration/
```
## Re-normalizing Existing Recordings
If you need to apply normalization to existing recordings (e.g., after updating the normalization logic):
```bash
python scripts/normalize_recordings.py
```
Use `--dry-run` to preview changes without modifying files.

View file

@ -34,7 +34,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -49,7 +49,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -60,7 +60,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -75,7 +75,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -86,7 +86,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -101,7 +101,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -112,7 +112,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -127,7 +127,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -138,7 +138,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -153,7 +153,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -164,7 +164,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -179,7 +179,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -190,7 +190,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -205,7 +205,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -216,7 +216,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -231,7 +231,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -242,7 +242,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -257,7 +257,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -268,7 +268,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -283,7 +283,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -294,7 +294,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -309,7 +309,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -320,7 +320,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -335,7 +335,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -346,7 +346,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -361,7 +361,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -372,7 +372,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -387,7 +387,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -398,7 +398,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -413,7 +413,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -424,7 +424,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -439,7 +439,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -450,7 +450,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -465,7 +465,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -476,7 +476,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -491,7 +491,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -502,7 +502,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -517,7 +517,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -528,7 +528,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -543,7 +543,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -554,7 +554,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -569,7 +569,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -580,7 +580,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"id": "rec-0002a233aedd",
"choices": [
{
"delta": {
@ -595,7 +595,7 @@
"logprobs": null
}
],
"created": 1759368459,
"created": 0,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,

View file

@ -20,15 +20,15 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama-guard3:1b",
"created_at": "2025-09-03T17:37:35.23084Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": true,
"done_reason": "stop",
"total_duration": 195981375,
"load_duration": 110522917,
"total_duration": 0,
"load_duration": 0,
"prompt_eval_count": 216,
"prompt_eval_duration": 72393958,
"prompt_eval_duration": 0,
"eval_count": 2,
"eval_duration": 11843000,
"eval_duration": 0,
"response": "safe",
"thinking": null,
"context": null

View file

@ -21,7 +21,7 @@
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "chatcmpl-281",
"id": "rec-00f70ca112de",
"choices": [
{
"finish_reason": "stop",
@ -38,7 +38,7 @@
}
}
],
"created": 1759437798,
"created": 0,
"model": "llama-guard3:1b",
"object": "chat.completion",
"service_tier": null,

View file

@ -17,11 +17,11 @@
"__type__": "ollama._types.EmbedResponse",
"__data__": {
"model": "all-minilm:l6-v2",
"created_at": null,
"created_at": "1970-01-01T00:00:00.000000Z",
"done": null,
"done_reason": null,
"total_duration": 14017069,
"load_duration": 6084798,
"total_duration": 0,
"load_duration": 0,
"prompt_eval_count": 6,
"prompt_eval_duration": null,
"eval_count": null,

View file

@ -22,7 +22,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-10-02T02:54:57.228595Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -40,7 +40,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-10-02T02:54:57.272966Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -58,7 +58,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-10-02T02:54:57.315637Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -76,7 +76,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-10-02T02:54:57.356564Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -94,7 +94,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-10-02T02:54:57.397939Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -112,7 +112,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-10-02T02:54:57.438829Z",
"created_at": "1970-01-01T00:00:00.000000Z",
"done": false,
"done_reason": null,
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