mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-08-16 06:27:58 +00:00
7f834339ba
Some checks failed
Integration Tests (Replay) / discover-tests (push) Successful in 3s
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 9s
Python Package Build Test / build (3.12) (push) Failing after 4s
Vector IO Integration Tests / test-matrix (3.12, inline::milvus) (push) Failing after 12s
Test Llama Stack Build / generate-matrix (push) Successful in 11s
Test Llama Stack Build / build-ubi9-container-distribution (push) Failing after 12s
Vector IO Integration Tests / test-matrix (3.12, inline::faiss) (push) Failing after 14s
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 22s
Test External API and Providers / test-external (venv) (push) Failing after 14s
Integration Tests (Replay) / Integration Tests (, , , client=, vision=) (push) Failing after 12s
Vector IO Integration Tests / test-matrix (3.12, remote::pgvector) (push) Failing after 15s
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 22s
Test Llama Stack Build / build-custom-container-distribution (push) Failing after 14s
Unit Tests / unit-tests (3.13) (push) Failing after 14s
Test Llama Stack Build / build-single-provider (push) Failing after 13s
Vector IO Integration Tests / test-matrix (3.12, remote::chromadb) (push) Failing after 18s
Unit Tests / unit-tests (3.12) (push) Failing after 16s
Vector IO Integration Tests / test-matrix (3.12, remote::qdrant) (push) Failing after 18s
Vector IO Integration Tests / test-matrix (3.13, remote::weaviate) (push) Failing after 10s
Vector IO Integration Tests / test-matrix (3.13, inline::faiss) (push) Failing after 11s
Vector IO Integration Tests / test-matrix (3.12, remote::weaviate) (push) Failing after 16s
Vector IO Integration Tests / test-matrix (3.13, remote::qdrant) (push) Failing after 18s
Test Llama Stack Build / build (push) Failing after 12s
Vector IO Integration Tests / test-matrix (3.13, remote::chromadb) (push) Failing after 18s
Vector IO Integration Tests / test-matrix (3.13, remote::pgvector) (push) Failing after 20s
Vector IO Integration Tests / test-matrix (3.13, inline::sqlite-vec) (push) Failing after 16s
Python Package Build Test / build (3.13) (push) Failing after 53s
Vector IO Integration Tests / test-matrix (3.13, inline::milvus) (push) Failing after 59s
Vector IO Integration Tests / test-matrix (3.12, inline::sqlite-vec) (push) Failing after 1m1s
Update ReadTheDocs / update-readthedocs (push) Failing after 1m6s
Pre-commit / pre-commit (push) Successful in 1m53s
A bunch of miscellaneous cleanup focusing on tests, but ended up speeding up starter distro substantially. - Pulled llama stack client init for tests into `pytest_sessionstart` so it does not clobber output - Profiling of that told me where we were doing lots of heavy imports for starter, so lazied them - starter now starts 20seconds+ faster on my Mac - A few other smallish refactors for `compat_client`
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# 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.
|
|
|
|
import asyncio
|
|
import base64
|
|
import io
|
|
from urllib.parse import unquote
|
|
|
|
from llama_stack.providers.utils.memory.vector_store import parse_data_url
|
|
|
|
|
|
async def get_dataframe_from_uri(uri: str):
|
|
import pandas
|
|
|
|
df = None
|
|
if uri.endswith(".csv"):
|
|
# Moving to its own thread to avoid io from blocking the eventloop
|
|
# This isn't ideal as it moves more then just the IO to a new thread
|
|
# but it is as close as we can easly get
|
|
df = await asyncio.to_thread(pandas.read_csv, uri)
|
|
elif uri.endswith(".xlsx"):
|
|
df = await asyncio.to_thread(pandas.read_excel, uri)
|
|
elif uri.startswith("data:"):
|
|
parts = parse_data_url(uri)
|
|
data = parts["data"]
|
|
if parts["is_base64"]:
|
|
data = base64.b64decode(data)
|
|
else:
|
|
data = unquote(data)
|
|
encoding = parts["encoding"] or "utf-8"
|
|
data = data.encode(encoding)
|
|
|
|
mime_type = parts["mimetype"]
|
|
mime_category = mime_type.split("/")[0]
|
|
data_bytes = io.BytesIO(data)
|
|
|
|
if mime_category == "text":
|
|
df = pandas.read_csv(data_bytes)
|
|
else:
|
|
df = pandas.read_excel(data_bytes)
|
|
else:
|
|
raise ValueError(f"Unsupported file type: {uri}")
|
|
|
|
return df
|