diff --git a/aidial_analytics_realtime/analytics.py b/aidial_analytics_realtime/analytics.py index f4613f3..354d535 100644 --- a/aidial_analytics_realtime/analytics.py +++ b/aidial_analytics_realtime/analytics.py @@ -1,4 +1,5 @@ from datetime import datetime +from decimal import Decimal from enum import Enum from logging import Logger from typing import Awaitable, Callable @@ -66,6 +67,8 @@ def make_point( usage: dict | None, topic_model: TopicModel, rates_calculator: RatesCalculator, + parent_deployment: str | None, + trace: dict | None, ): topic = None response_content = "" @@ -90,14 +93,29 @@ def make_point( else "\n\n".join(request["input"]) ) - price = rates_calculator.calculate_price( - deployment, model, request_content, response_content, usage - ) + price = Decimal(0) + if usage is not None and usage.get("price") is not None: + price = usage["price"] + else: + price = rates_calculator.calculate_price( + deployment, model, request_content, response_content, usage + ) point = ( Point("analytics") .tag("model", model) .tag("deployment", deployment) + .tag("parent_deployment", to_string(parent_deployment)) + .tag("trace_id", "undefined" if not trace else trace["trace_id"]) + .tag( + "core_span_id", "undefined" if not trace else trace["core_span_id"] + ) + .tag( + "core_parent_span_id", + "undefined" + if not trace + else to_string(trace.get("core_parent_span_id", None)), + ) .tag("project_id", project_id) .tag( "language", @@ -177,12 +195,34 @@ async def on_message( type: RequestType, topic_model: TopicModel, rates_calculator: RatesCalculator, + token_usage: dict | None, + parent_deployment: str | None, + trace: dict | None, ): logger.info(f"Chat completion response length {len(response)}") usage_per_model = await parse_usage_per_model(response) - - if len(usage_per_model) == 0: + if token_usage is not None: + point = make_point( + deployment, + model, + project_id, + chat_id, + upstream_url, + user_hash, + user_title, + timestamp, + request, + response, + type, + token_usage, + topic_model, + rates_calculator, + parent_deployment, + trace, + ) + await influx_writer(point) + elif len(usage_per_model) == 0: point = make_point( deployment, model, @@ -198,6 +238,8 @@ async def on_message( response.get("usage", None), topic_model, rates_calculator, + parent_deployment, + trace, ) await influx_writer(point) else: @@ -216,6 +258,8 @@ async def on_message( None, topic_model, rates_calculator, + parent_deployment, + trace, ) await influx_writer(point) @@ -235,5 +279,7 @@ async def on_message( usage, topic_model, rates_calculator, + parent_deployment, + trace, ) await influx_writer(point) diff --git a/aidial_analytics_realtime/app.py b/aidial_analytics_realtime/app.py index 38a420e..0b70eef 100644 --- a/aidial_analytics_realtime/app.py +++ b/aidial_analytics_realtime/app.py @@ -67,6 +67,9 @@ async def on_chat_completion_message( influx_writer: InfluxWriterAsync, topic_model: TopicModel, rates_calculator: RatesCalculator, + token_usage: dict | None, + parent_deployment: str | None, + trace: dict | None, ): if response["status"] != "200": return @@ -118,6 +121,9 @@ async def on_chat_completion_message( RequestType.CHAT_COMPLETION, topic_model, rates_calculator, + token_usage, + parent_deployment, + trace, ) @@ -134,6 +140,9 @@ async def on_embedding_message( influx_writer: InfluxWriterAsync, topic_model: TopicModel, rates_calculator: RatesCalculator, + token_usage: dict | None, + parent_deployment: str | None, + trace: dict | None, ): if response["status"] != "200": return @@ -154,6 +163,9 @@ async def on_embedding_message( RequestType.EMBEDDING, topic_model, rates_calculator, + token_usage, + parent_deployment, + trace, ) @@ -176,6 +188,10 @@ async def on_log_message( timestamp = parse_time(request["time"]) + token_usage = message.get("token_usage", None) + trace = message.get("trace", None) + parent_deployment = message.get("parent_deployment", None) + match = re.search(RATE_PATTERN, uri) if match: await on_rate_message(request, response) @@ -196,6 +212,9 @@ async def on_log_message( influx_writer, topic_model, rates_calculator, + token_usage, + parent_deployment, + trace, ) match = re.search(EMBEDDING_PATTERN, uri) @@ -214,6 +233,9 @@ async def on_log_message( influx_writer, topic_model, rates_calculator, + token_usage, + parent_deployment, + trace, ) diff --git a/poetry.lock b/poetry.lock index 8f71163..f7f60e8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. 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hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"}, + {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"}, ] [package.dependencies] @@ -2620,4 +2963,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "~3.10" -content-hash = "c11a605ed4e77df54a2bdb134613736232e2e82c07805f1738faa9339fdbebe2" +content-hash = "dae1a5b0e61562eebecfb0a03c6f97c33a145c3c46e4a9a8023e993956568601" diff --git a/pyproject.toml b/pyproject.toml index b788fee..e36ee33 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,11 @@ fastapi = "0.97.0" uvicorn = "0.22.0" influxdb-client = "1.37.0" langid = "1.1.6" -torch = {version = "^2.0.1+cpu", source = "pytorch"} +torch = [ + { version = "^2.0.1", source = "pypi", platform = "darwin" }, + { version = "^2.0.1+cpu", source = "pytorch", platform = "linux" }, + { version = "^2.0.1+cpu", source = "pytorch", platform = "win32" }, +] bertopic = "^0.15.0" llvmlite = "^0.40.1" python-dotenv = "^1.0.0" diff --git a/tests/test_app.py b/tests/test_app.py index 108e80f..29e3092 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -89,6 +89,114 @@ def test_data_request(): ) assert response.status_code == 200 assert write_api_mock.points == [ - 'analytics,deployment=gpt-4,language=undefined,model=gpt-4,project_id=PROJECT-KEY,response_id=chatcmpl-1,title=undefined,topic=TestTopic,upstream=undefined chat_id="chat-1",completion_tokens=189i,number_request_messages=2i,price=0,prompt_tokens=22i,user_hash="undefined" 1692214959997000000', - 'analytics,deployment=gpt-4,language=undefined,model=gpt-4,project_id=PROJECT-KEY-2,response_id=chatcmpl-2,title=undefined,topic=TestTopic,upstream=undefined chat_id="chat-2",completion_tokens=189i,number_request_messages=2i,price=0,prompt_tokens=22i,user_hash="undefined" 1700796820390000000', + 'analytics,core_parent_span_id=undefined,core_span_id=undefined,deployment=gpt-4,language=undefined,model=gpt-4,parent_deployment=undefined,project_id=PROJECT-KEY,response_id=chatcmpl-1,title=undefined,topic=TestTopic,trace_id=undefined,upstream=undefined chat_id="chat-1",completion_tokens=189i,number_request_messages=2i,price=0,prompt_tokens=22i,user_hash="undefined" 1692214959997000000', + 'analytics,core_parent_span_id=undefined,core_span_id=undefined,deployment=gpt-4,language=undefined,model=gpt-4,parent_deployment=undefined,project_id=PROJECT-KEY-2,response_id=chatcmpl-2,title=undefined,topic=TestTopic,trace_id=undefined,upstream=undefined chat_id="chat-2",completion_tokens=189i,number_request_messages=2i,price=0,prompt_tokens=22i,user_hash="undefined" 1700796820390000000', + ] + + +def test_data_request_with_new_format(): + write_api_mock = InfluxWriterMock() + app.app.dependency_overrides[app.InfluxWriterAsync] = lambda: write_api_mock + + topic_model = Mock() + topic_model.get_topic.return_value = "TestTopic" + app.app.dependency_overrides[app.TopicModel] = lambda: topic_model + + client = TestClient(app.app) + response = client.post( + "/data", + json=[ + { + "message": json.dumps( + { + "apiType": "DialOpenAI", + "chat": {"id": "chat-1"}, + "project": {"id": "PROJECT-KEY"}, + "user": {"id": "", "title": ""}, + "token_usage": { + "completion_tokens": 40, + "prompt_tokens": 30, + "deployment_price": 0.001, + "price": 0.001, + }, + "parent_deployment": "assistant", + "trace": { + "trace_id": "5dca3d6ed5d22b6ab574f27a6ab5ec14", + "core_span_id": "9ade2b6fef0a716d", + "core_parent_span_id": "20e7e64715abbe97", + }, + "request": { + "protocol": "HTTP/1.1", + "method": "POST", + "uri": "/openai/deployments/gpt-4/chat/completions?api-version=2023-03-15-preview", + "time": "2023-08-16T19:42:39.997", + "body": json.dumps( + { + "messages": [ + {"role": "system", "content": ""}, + {"role": "user", "content": "Hi!"}, + ], + "model": "gpt-4", + "max_tokens": 2000, + "stream": True, + "n": 1, + "temperature": 0.0, + } + ), + }, + "response": { + "status": "200", + "body": 'data: {"id":"chatcmpl-1","object":"chat.completion.chunk","created":1692214960,"model":"gpt-4","choices":[{"index":0,"delta":{"role":"assistant","content":"Hi"},"finish_reason":null}]}\n\ndata: {"id":"chatcmpl-1","object":"chat.completion.chunk","created":1692214960,"model":"gpt-4","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"completion_tokens":189,"prompt_tokens":22,"total_tokens":211}}\n\ndata: [DONE]\n', + }, + } + ) + }, + { + "message": json.dumps( + { + "apiType": "DialOpenAI", + "chat": {"id": "chat-2"}, + "project": {"id": "PROJECT-KEY-2"}, + "user": {"id": "", "title": ""}, + "token_usage": { + "completion_tokens": 40, + "prompt_tokens": 30, + "price": 0.005, + }, + "trace": { + "trace_id": "5dca3d6ed5d22b6ab574f27a6ab5ec14", + "core_span_id": "20e7e64715abbe97", + }, + "request": { + "protocol": "HTTP/1.1", + "method": "POST", + "uri": "/openai/deployments/gpt-4/chat/completions", + "time": "2023-11-24T03:33:40.39", + "body": json.dumps( + { + "messages": [ + {"role": "system", "content": ""}, + {"role": "user", "content": "Hi!"}, + ], + "model": "gpt-4", + "max_tokens": 2000, + "stream": True, + "n": 1, + "temperature": 0.0, + } + ), + }, + "response": { + "status": "200", + "body": 'data: {"id":"chatcmpl-2","object":"chat.completion.chunk","created":1700828102,"model":"gpt-4","choices":[{"index":0,"delta":{"role":"assistant","content":"Hi"},"finish_reason":null}]}\n\ndata: {"id":"chatcmpl-2","object":"chat.completion.chunk","created":1700828102,"model":"gpt-4","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"completion_tokens":189,"prompt_tokens":22,"total_tokens":211}}\n\ndata: [DONE]\n', + }, + } + ) + }, + ], + ) + assert response.status_code == 200 + assert write_api_mock.points == [ + 'analytics,core_parent_span_id=20e7e64715abbe97,core_span_id=9ade2b6fef0a716d,deployment=gpt-4,language=undefined,model=gpt-4,parent_deployment=assistant,project_id=PROJECT-KEY,response_id=chatcmpl-1,title=undefined,topic=TestTopic,trace_id=5dca3d6ed5d22b6ab574f27a6ab5ec14,upstream=undefined chat_id="chat-1",completion_tokens=40i,number_request_messages=2i,price=0.001,prompt_tokens=30i,user_hash="undefined" 1692214959997000000', + 'analytics,core_parent_span_id=undefined,core_span_id=20e7e64715abbe97,deployment=gpt-4,language=undefined,model=gpt-4,parent_deployment=undefined,project_id=PROJECT-KEY-2,response_id=chatcmpl-2,title=undefined,topic=TestTopic,trace_id=5dca3d6ed5d22b6ab574f27a6ab5ec14,upstream=undefined chat_id="chat-2",completion_tokens=40i,number_request_messages=2i,price=0.005,prompt_tokens=30i,user_hash="undefined" 1700796820390000000', ] diff --git a/tests/test_huggingface_model.py b/tests/test_huggingface_model.py index b98af74..c5ed4fd 100644 --- a/tests/test_huggingface_model.py +++ b/tests/test_huggingface_model.py @@ -56,5 +56,69 @@ def test_data_request(): ) assert response.status_code == 200 assert write_api_mock.points == [ - 'analytics,deployment=gpt-4,language=undefined,model=gpt-4,project_id=PROJECT-KEY,response_id=chatcmpl-1,title=undefined,topic=4_letter_sincerely_regards_email,upstream=undefined chat_id="chat-1",completion_tokens=189i,number_request_messages=2i,price=0,prompt_tokens=22i,user_hash="undefined" 1692214959997000000' + 'analytics,core_parent_span_id=undefined,core_span_id=undefined,deployment=gpt-4,language=undefined,model=gpt-4,parent_deployment=undefined,project_id=PROJECT-KEY,response_id=chatcmpl-1,title=undefined,topic=4_letter_sincerely_regards_email,trace_id=undefined,upstream=undefined chat_id="chat-1",completion_tokens=189i,number_request_messages=2i,price=0,prompt_tokens=22i,user_hash="undefined" 1692214959997000000' + ] + + +@pytest.mark.with_external +def test_data_request_with_new_format(): + write_api_mock = InfluxWriterMock() + app.app.dependency_overrides[app.InfluxWriterAsync] = lambda: write_api_mock + + topic_model = app.TopicModel("davanstrien/chat_topics") + app.app.dependency_overrides[app.TopicModel] = lambda: topic_model + + client = TestClient(app.app) + response = client.post( + "/data", + json=[ + { + "message": json.dumps( + { + "apiType": "DialOpenAI", + "chat": {"id": "chat-1"}, + "project": {"id": "PROJECT-KEY"}, + "user": {"id": "", "title": ""}, + "token_usage": { + "completion_tokens": 40, + "prompt_tokens": 30, + "price": 0.001, + "deployment_price": 0.001, + }, + "trace": { + "trace_id": "5dca3d6ed5d22b6ab574f27a6ab5ec14", + "core_span_id": "9ade2b6fef0a716d", + "core_parent_span_id": "20e7e64715abbe97", + }, + "request": { + "protocol": "HTTP/1.1", + "method": "POST", + "uri": "/openai/deployments/gpt-4/chat/completions?api-version=2023-03-15-preview", + "time": "2023-08-16T19:42:39.997", + "body": json.dumps( + { + "messages": [ + {"role": "system", "content": ""}, + {"role": "user", "content": "Hi!"}, + ], + "model": "gpt-4", + "max_tokens": 2000, + "stream": True, + "n": 1, + "temperature": 0.0, + } + ), + }, + "response": { + "status": "200", + "body": 'data: {"id":"chatcmpl-1","object":"chat.completion.chunk","created":1692214960,"model":"gpt-4","choices":[{"index":0,"delta":{"role":"assistant","content":"Hi"},"finish_reason":null}]}\n\ndata: {"id":"chatcmpl-1","object":"chat.completion.chunk","created":1692214960,"model":"gpt-4","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"completion_tokens":189,"prompt_tokens":22,"total_tokens":211}}\n\ndata: [DONE]\n', + }, + } + ) + } + ], + ) + assert response.status_code == 200 + assert write_api_mock.points == [ + 'analytics,core_parent_span_id=20e7e64715abbe97,core_span_id=9ade2b6fef0a716d,deployment=gpt-4,language=undefined,model=gpt-4,parent_deployment=undefined,project_id=PROJECT-KEY,response_id=chatcmpl-1,title=undefined,topic=4_letter_sincerely_regards_email,trace_id=5dca3d6ed5d22b6ab574f27a6ab5ec14,upstream=undefined chat_id="chat-1",completion_tokens=40i,number_request_messages=2i,price=0.001,prompt_tokens=30i,user_hash="undefined" 1692214959997000000' ]