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Add admin panel (w/ streamlit) and logging (w/ vectordev) (#4)

add-more-languages
Meng Zhang 2023-03-22 23:18:12 +08:00 committed by GitHub
parent 8683ded66c
commit bcce00794e
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18 changed files with 892 additions and 62 deletions
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1
.gitignore vendored
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__pycache__
docker-compose.override.yml

16
Dockerfile
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FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime
ENV POETRY_VERSION=1.4.0
WORKDIR /app
RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
RUN pip install "poetry==$POETRY_VERSION"
COPY poetry.lock pyproject.toml /app/
RUN poetry export --without-hashes -o requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
COPY . .

8
README.md
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@ -6,7 +6,9 @@
> This repository is undering heavy construction, everything changes fast.
## Contents
* [`server`](./server): API server for completion requests. It also provides APIs for logging users' selections, which could be used for RLHF.
* [`tabformer`](./tabformer): *NOT RELEASED* Distributed trainer for tabby models.
* [`preprocess`](./preprocess): Preprocess files into [datasets](https://huggingface.co/docs/datasets)
* [`admin`](./admin): Admin panel for monitoring / settings purpose.
* [`server`](./server): API server for completion requests. It also loggs users' selections (as feedback to model's quality).
* [`deployment`](./deployment): Container related deployment configs.
* [`converter`](./converter): Converts a [transformers](https://huggingface.co/docs/transformers) causal LM model into TensorRT / FasterTransformer serving formats.
* [`preprocess`](./preprocess): Preprocess files into [datasets](https://huggingface.co/docs/datasets)
* [`tabformer`](./tabformer): *NOT RELEASED* Distributed trainer for tabby models.

16
admin/Home.py Normal file
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import streamlit as st
from utils.service_info import ServiceInfo
SERVICES = [
ServiceInfo(label="server", url="http://server:5000"),
ServiceInfo(label="triton", url="http://triton:8002/metrics"),
ServiceInfo(label="vector", url="http://vector:8686/health"),
]
def make_badge_markdown(x: ServiceInfo):
return f"![{x.label}]({x.badge_url})"
st.markdown("## Status")
st.markdown(" ".join(map(make_badge_markdown, SERVICES)))

0
admin/utils/__init__.py Normal file
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26
admin/utils/service_info.py Normal file
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from dataclasses import dataclass
import requests
from requests.exceptions import ConnectionError
@dataclass
class ServiceInfo:
label: str
url: str
@property
def is_health(self) -> bool:
try:
return requests.get(self.url).status_code == 200
except ConnectionError as e:
return False
@property
def badge_url(self) -> str:
is_health = self.is_health
label = self.label.replace("-", "--")
message = "live" if is_health else "down"
color = "green" if is_health else "red"
return f"https://img.shields.io/badge/{label}-{message}-{color}"

1
deployment/.gitignore vendored Normal file
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logs

17
deployment/Dockerfile Normal file
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# syntax = docker/dockerfile:1.5
FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime
ARG PYPI_INDEX_URL=https://pypi.org/simple
ARG POETRY_VERSION=1.4.0
WORKDIR /app
RUN --mount=type=cache,target=/root/.cache pip install -i $PYPI_INDEX_URL "poetry==$POETRY_VERSION"
COPY poetry.lock pyproject.toml /app/
RUN poetry export --without-hashes -o requirements.txt
RUN --mount=type=cache,target=/root/.cache pip install -i $PYPI_INDEX_URL --extra-index-url https://pypi.org/simple --no-dependencies -r requirements.txt
COPY . .

21
deployment/docker-compose.dev.yml Normal file
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version: '3.3'
services:
server:
build:
context: ..
dockerfile: ./deployment/Dockerfile
args:
PYPI_INDEX_URL: https://pypi.tuna.tsinghua.edu.cn/simple
command: uvicorn app:app --host 0.0.0.0 --port 5000 --reload
volumes:
- ../:/app
admin:
command: streamlit run --server.runOnSave=true Home.py
volumes:
- ../:/app
vector:
environment:
- VECTOR_WATCH_CONFIG=true

53
deployment/docker-compose.yml Normal file
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@ -0,0 +1,53 @@
version: '3.3'
services:
server:
image: tabbyml/tabby
container_name: tabby-server
working_dir: /app/server
command: uvicorn app:app --host 0.0.0.0 --port 5000
environment:
- TOKENIZER_NAME=../testdata/gptneox/tokenizer
- TRITON_HOST=triton
- EVENTS_LOG_DIR=/logs/tabby-server
ports:
- "5000:5000"
volumes:
- ./logs:/logs
links:
- triton
- vector
triton:
image: tabbyml/fastertransformer_backend
container_name: tabby-triton
command: mpirun -n 1 --allow-run-as-root /opt/tritonserver/bin/tritonserver --model-repository=/model
shm_size: 1gb
volumes:
- ../testdata/gptneox/models:/model
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
admin:
image: tabbyml/tabby
container_name: tabby-admin
working_dir: /app/admin
command: streamlit run Home.py
ports:
- "8501:8501"
links:
- server
- triton
- vector
vector:
image: timberio/vector:0.28.1-alpine
container_name: tabby-vector
volumes:
- ./vector.toml:/etc/vector/vector.toml:ro
- ./logs:/logs

19
deployment/vector.toml Normal file
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@ -0,0 +1,19 @@
[api]
enabled = true
address = "0.0.0.0:8686"
[sources.tabby_server_logs]
type = "file"
include = ["/logs/tabby-server/events.*.log"]
[transforms.process_tabby_server_logs]
type = "remap"
inputs = [ "tabby_server_logs" ]
source = ". = parse_json!(parse_json!(.message).record.message)"
[sinks.console]
type = "console"
inputs = [ "process_tabby_server_logs" ]
encoding = { codec = "json" }
framing = { method = "newline_delimited" }
target = "stdout"

30
docker-compose.yml
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@ -1,30 +0,0 @@
version: '3.3'
services:
server:
build: .
working_dir: /app
command: /opt/conda/bin/python server/app.py
environment:
- TOKENIZER_NAME=/tokenizer
- TRITON_HOST=triton
ports:
- "5000:5000"
volumes:
- ./testdata/gptneox/tokenizer:/tokenizer
links:
- triton
triton:
image: tabbyml/fastertransformer_backend
command: mpirun -n 1 --allow-run-as-root /opt/tritonserver/bin/tritonserver --model-repository=/model
shm_size: 1gb
volumes:
- ./testdata/gptneox/models:/model
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]

641
poetry.lock generated
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@ -124,6 +124,29 @@ files = [
[package.dependencies]
frozenlist = ">=1.1.0"
[[package]]
name = "altair"
version = "4.2.2"
description = "Altair: A declarative statistical visualization library for Python."
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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{file = "altair-4.2.2.tar.gz", hash = "sha256:39399a267c49b30d102c10411e67ab26374156a84b1aeb9fcd15140429ba49c5"},
]
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entrypoints = "*"
jinja2 = "*"
jsonschema = ">=3.0"
numpy = "*"
pandas = ">=0.18"
toolz = "*"
[package.extras]
dev = ["black", "docutils", "flake8", "ipython", "m2r", "mistune (<2.0.0)", "pytest", "recommonmark", "sphinx", "vega-datasets"]
[[package]]
name = "anyio"
version = "3.6.2"
@ -176,6 +199,18 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
tests = ["attrs[tests-no-zope]", "zope.interface"]
tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
[[package]]
name = "blinker"
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description = "Fast, simple object-to-object and broadcast signaling"
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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]
[[package]]
name = "brotli"
version = "1.0.9"
@ -268,6 +303,18 @@ files = [
{file = "Brotli-1.0.9.zip", hash = "sha256:4d1b810aa0ed773f81dceda2cc7b403d01057458730e309856356d4ef4188438"},
]
[[package]]
name = "cachetools"
version = "5.3.0"
description = "Extensible memoizing collections and decorators"
category = "main"
optional = false
python-versions = "~=3.7"
files = [
{file = "cachetools-5.3.0-py3-none-any.whl", hash = "sha256:429e1a1e845c008ea6c85aa35d4b98b65d6a9763eeef3e37e92728a12d1de9d4"},
{file = "cachetools-5.3.0.tar.gz", hash = "sha256:13dfddc7b8df938c21a940dfa6557ce6e94a2f1cdfa58eb90c805721d58f2c14"},
]
[[package]]
name = "certifi"
version = "2022.12.7"
@ -555,6 +602,18 @@ tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elast
torch = ["torch"]
vision = ["Pillow (>=6.2.1)"]
[[package]]
name = "decorator"
version = "5.1.1"
description = "Decorators for Humans"
category = "main"
optional = false
python-versions = ">=3.5"
files = [
{file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
]
[[package]]
name = "dill"
version = "0.3.6"
@ -582,6 +641,18 @@ files = [
{file = "distlib-0.3.6.tar.gz", hash = "sha256:14bad2d9b04d3a36127ac97f30b12a19268f211063d8f8ee4f47108896e11b46"},
]
[[package]]
name = "entrypoints"
version = "0.4"
description = "Discover and load entry points from installed packages."
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"},
{file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"},
]
[[package]]
name = "fastapi"
version = "0.95.0"
@ -912,6 +983,36 @@ certifi = "*"
gevent = ">=0.13"
six = "*"
[[package]]
name = "gitdb"
version = "4.0.10"
description = "Git Object Database"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "gitdb-4.0.10-py3-none-any.whl", hash = "sha256:c286cf298426064079ed96a9e4a9d39e7f3e9bf15ba60701e95f5492f28415c7"},
{file = "gitdb-4.0.10.tar.gz", hash = "sha256:6eb990b69df4e15bad899ea868dc46572c3f75339735663b81de79b06f17eb9a"},
]
[package.dependencies]
smmap = ">=3.0.1,<6"
[[package]]
name = "gitpython"
version = "3.1.31"
description = "GitPython is a Python library used to interact with Git repositories"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "GitPython-3.1.31-py3-none-any.whl", hash = "sha256:f04893614f6aa713a60cbbe1e6a97403ef633103cdd0ef5eb6efe0deb98dbe8d"},
{file = "GitPython-3.1.31.tar.gz", hash = "sha256:8ce3bcf69adfdf7c7d503e78fd3b1c492af782d58893b650adb2ac8912ddd573"},
]
[package.dependencies]
gitdb = ">=4.0.1,<5"
[[package]]
name = "greenlet"
version = "2.0.2"
@ -1114,11 +1215,31 @@ files = [
{file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
]
[[package]]
name = "importlib-metadata"
version = "6.1.0"
description = "Read metadata from Python packages"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "importlib_metadata-6.1.0-py3-none-any.whl", hash = "sha256:ff80f3b5394912eb1b108fcfd444dc78b7f1f3e16b16188054bd01cb9cb86f09"},
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]
[package.dependencies]
zipp = ">=0.5"
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"]
testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
[[package]]
name = "jinja2"
version = "3.1.2"
description = "A very fast and expressive template engine."
category = "dev"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -1132,6 +1253,26 @@ MarkupSafe = ">=2.0"
[package.extras]
i18n = ["Babel (>=2.7)"]
[[package]]
name = "jsonschema"
version = "4.17.3"
description = "An implementation of JSON Schema validation for Python"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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]
[package.dependencies]
attrs = ">=17.4.0"
pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
[package.extras]
format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
[[package]]
name = "lit"
version = "15.0.7"
@ -1143,11 +1284,55 @@ files = [
{file = "lit-15.0.7.tar.gz", hash = "sha256:ed08ac55afe714a193653df293ae8a6ee6c45d6fb11eeca72ce347d99b88ecc8"},
]
[[package]]
name = "loguru"
version = "0.6.0"
description = "Python logging made (stupidly) simple"
category = "main"
optional = false
python-versions = ">=3.5"
files = [
{file = "loguru-0.6.0-py3-none-any.whl", hash = "sha256:4e2414d534a2ab57573365b3e6d0234dfb1d84b68b7f3b948e6fb743860a77c3"},
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[package.dependencies]
colorama = {version = ">=0.3.4", markers = "sys_platform == \"win32\""}
win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
[package.extras]
dev = ["Sphinx (>=4.1.1)", "black (>=19.10b0)", "colorama (>=0.3.4)", "docutils (==0.16)", "flake8 (>=3.7.7)", "isort (>=5.1.1)", "pytest (>=4.6.2)", "pytest-cov (>=2.7.1)", "sphinx-autobuild (>=0.7.1)", "sphinx-rtd-theme (>=0.4.3)", "tox (>=3.9.0)"]
[[package]]
name = "markdown-it-py"
version = "2.2.0"
description = "Python port of markdown-it. Markdown parsing, done right!"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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[package.dependencies]
mdurl = ">=0.1,<1.0"
[package.extras]
benchmarking = ["psutil", "pytest", "pytest-benchmark"]
code-style = ["pre-commit (>=3.0,<4.0)"]
compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
linkify = ["linkify-it-py (>=1,<3)"]
plugins = ["mdit-py-plugins"]
profiling = ["gprof2dot"]
rtd = ["attrs", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
[[package]]
name = "markupsafe"
version = "2.1.2"
description = "Safely add untrusted strings to HTML/XML markup."
category = "dev"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
@ -1203,6 +1388,18 @@ files = [
{file = "MarkupSafe-2.1.2.tar.gz", hash = "sha256:abcabc8c2b26036d62d4c746381a6f7cf60aafcc653198ad678306986b09450d"},
]
[[package]]
name = "mdurl"
version = "0.1.2"
description = "Markdown URL utilities"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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]
[[package]]
name = "mpmath"
version = "1.3.0"
@ -1633,6 +1830,97 @@ pytz = ">=2020.1"
[package.extras]
test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
[[package]]
name = "pillow"
version = "9.4.0"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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{file = "watchdog-3.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"},
{file = "watchdog-3.0.0-py3-none-win32.whl", hash = "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f"},
{file = "watchdog-3.0.0-py3-none-win_amd64.whl", hash = "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c"},
{file = "watchdog-3.0.0-py3-none-win_ia64.whl", hash = "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759"},
{file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[[package]]
name = "wheel"
version = "0.40.0"
@ -2495,6 +3099,21 @@ files = [
[package.extras]
test = ["pytest (>=6.0.0)"]
[[package]]
name = "win32-setctime"
version = "1.1.0"
description = "A small Python utility to set file creation time on Windows"
category = "main"
optional = false
python-versions = ">=3.5"
files = [
{file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"},
{file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"},
]
[package.extras]
dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
[[package]]
name = "xxhash"
version = "3.2.0"
@ -2691,6 +3310,22 @@ files = [
idna = ">=2.0"
multidict = ">=4.0"
[[package]]
name = "zipp"
version = "3.15.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
{file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
[[package]]
name = "zope-event"
version = "4.6"
@ -2761,4 +3396,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "fe4f298c8e9e421dab4834a61eda5d46f8720736ec5d604fb4abff2d90020835"
content-hash = "0f2c2fbfd49c0a69dccf125d3ab96a00115b844753c2063b68d936bc2e8e39d1"

2
pyproject.toml
View File

@ -13,6 +13,8 @@ transformers = "^4.27.1"
fastapi = "^0.95.0"
uvicorn = "^0.21.1"
tritonclient = {extras = ["all"], version = "^2.31.0"}
streamlit = "^1.20.0"
loguru = "^0.6.0"
[tool.poetry.group.dev.dependencies]

16
server/app.py
View File

@ -1,9 +1,11 @@
import logging
import os
import events
import uvicorn
from fastapi import FastAPI, Response
from fastapi.responses import JSONResponse
from models import CompletionsRequest, CompletionsResponse
from models import CompletionRequest, CompletionResponse
from triton import TritonService
app = FastAPI(
@ -20,8 +22,16 @@ triton = TritonService(
@app.post("/v1/completions")
async def completions(data: CompletionsRequest) -> CompletionsResponse:
return triton(data)
async def completions(request: CompletionRequest) -> CompletionResponse:
response = triton(request)
events.log_completions(request, response)
return response
@app.post("/v1/completions/{id}/choices/{index}/selection")
async def selection(id: str, index: int) -> JSONResponse:
events.log_selection(id, index)
return JSONResponse(content="ok")
if __name__ == "__main__":

45
server/events.py Normal file
View File

@ -0,0 +1,45 @@
import json
import os
import shutil
from typing import List
import models
from loguru import logger
from pydantic import BaseModel
logger.configure(handlers=[])
def setup_logging(logdir):
try:
shutil.rmtree(logdir + "/*")
except FileNotFoundError:
pass
logger.add(
os.path.join(logdir, "events.{time}.log"),
rotation="1 hours",
retention="2 hours",
level="INFO",
filter=__name__,
enqueue=True,
delay=True,
serialize=True,
)
EVENTS_LOG_DIR = os.environ.get("EVENTS_LOG_DIR", None)
if EVENTS_LOG_DIR is not None:
setup_logging(EVENTS_LOG_DIR)
def log_completions(
request: models.CompletionRequest, response: models.CompletionResponse
) -> None:
event = models.CompletionEvent.build(request, response)
logger.info(event.json())
def log_selection(id: str, index: int) -> None:
event = models.SelectionEvent.build(id, index)
logger.info(event.json())

34
server/models.py
View File

@ -9,14 +9,44 @@ class Choice(BaseModel):
text: str
class CompletionsRequest(BaseModel):
class CompletionRequest(BaseModel):
prompt: str = Field(
example="def binarySearch(arr, left, right, x):\n mid = (left +",
description="The context to generate completions for, encoded as a string.",
)
class CompletionsResponse(BaseModel):
class CompletionResponse(BaseModel):
id: str
created: int
choices: List[Choice]
class Event(BaseModel):
type: str
class CompletionEvent(Event):
id: str
prompt: str
created: int
choices: List[Choice]
@classmethod
def build(cls, request: CompletionRequest, response: CompletionResponse):
return cls(
type="completion",
id=response.id,
prompt=request.prompt,
created=response.created,
choices=response.choices,
)
class SelectionEvent(Event):
completion_id: str
choice_index: int
@classmethod
def build(cls, id, index):
return cls(type="selection", completion_id=id, choice_index=index)

8
server/triton.py
View File

@ -6,7 +6,7 @@ from typing import List
import numpy as np
import tritonclient.grpc as client_util
from models import Choice, CompletionsRequest, CompletionsResponse
from models import Choice, CompletionRequest, CompletionResponse
from transformers import AutoTokenizer
from tritonclient.utils import InferenceServerException, np_to_triton_dtype
@ -24,7 +24,7 @@ class TritonService:
url=f"{host}:{port}", verbose=verbose
)
def generate(self, data: CompletionsRequest) -> List[Choice]:
def generate(self, data: CompletionRequest) -> List[Choice]:
# FIXME(meng): Make following vars configurable
n = 1
np_type = np.uint32
@ -71,9 +71,9 @@ class TritonService:
trimmed = [trim_with_stopwords(d, stop_words) for d in decoded]
return [Choice(index=i, text=text) for i, text in enumerate(trimmed)]
def __call__(self, data: CompletionsRequest) -> CompletionsResponse:
def __call__(self, data: CompletionRequest) -> CompletionResponse:
choices = self.generate(data)
return CompletionsResponse(
return CompletionResponse(
id=random_completion_id(), created=int(time.time()), choices=choices
)