llama-stack-mirror/llama_stack/distribution/build.py
Sébastien Han 369cc513cb
fix: improve stack build on venv (#980)
# What does this PR do?

Added a pre_run_checks function to ensure a smooth environment setup by
verifying prerequisites. It checks for an existing virtual environment,
ensures uv is installed, and deactivates any active environment if
necessary.

Run the full build inside a venv created by 'uv'.

Improved string handling in printf statements and added shellcheck
suppressions for expected word splitting in pip commands.

These enhancements improve robustness, prevent
conflicts, and ensure a seamless setup process.

Signed-off-by: Sébastien Han <seb@redhat.com>

- [ ] Addresses issue (#issue)


## Test Plan

Run the following command on either Linux or MacOS:

```
llama stack build --template ollama --image-type venv --image-name foo
+ build_name=foo
+ env_name=llamastack-foo
+ pip_dependencies='datasets matplotlib autoevals transformers blobfile opentelemetry-sdk sentencepiece opentelemetry-exporter-otlp-proto-http ollama nltk redis pillow psycopg2-binary scikit-learn pandas faiss-cpu chromadb-client numpy chardet scipy aiohttp aiosqlite requests tqdm pypdf openai aiosqlite fastapi fire httpx uvicorn'
+ RED='\033[0;31m'
+ NC='\033[0m'
+ ENVNAME=
+++ readlink -f /Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/build_venv.sh
++ dirname /Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/build_venv.sh
+ SCRIPT_DIR=/Users/leseb/Documents/AI/llama-stack/llama_stack/distribution
+ source /Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/common.sh
+ pre_run_checks llamastack-foo
+ local env_name=llamastack-foo
+ is_command_available uv
+ command -v uv
+ '[' -d llamastack-foo ']'
+ run llamastack-foo 'datasets matplotlib autoevals transformers blobfile opentelemetry-sdk sentencepiece opentelemetry-exporter-otlp-proto-http ollama nltk redis pillow psycopg2-binary scikit-learn pandas faiss-cpu chromadb-client numpy chardet scipy aiohttp aiosqlite requests tqdm pypdf openai aiosqlite fastapi fire httpx uvicorn' 'sentence-transformers --no-deps#torch torchvision --index-url https://download.pytorch.org/whl/cpu'
+ local env_name=llamastack-foo
+ local 'pip_dependencies=datasets matplotlib autoevals transformers blobfile opentelemetry-sdk sentencepiece opentelemetry-exporter-otlp-proto-http ollama nltk redis pillow psycopg2-binary scikit-learn pandas faiss-cpu chromadb-client numpy chardet scipy aiohttp aiosqlite requests tqdm pypdf openai aiosqlite fastapi fire httpx uvicorn'
+ local 'special_pip_deps=sentence-transformers --no-deps#torch torchvision --index-url https://download.pytorch.org/whl/cpu'
+ echo 'Creating new virtual environment llamastack-foo'
Creating new virtual environment llamastack-foo
+ uv venv llamastack-foo
Using CPython 3.13.1 interpreter at: /opt/homebrew/opt/python@3.13/bin/python3.13
Creating virtual environment at: llamastack-foo
Activate with: source llamastack-foo/bin/activate
+ source llamastack-foo/bin/activate
++ '[' -n x ']'
++ SCRIPT_PATH=llamastack-foo/bin/activate
++ '[' llamastack-foo/bin/activate = /Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/build_venv.sh ']'
++ deactivate nondestructive
++ unset -f pydoc
++ '[' -z '' ']'
++ '[' -z '' ']'
++ hash -r
++ '[' -z '' ']'
++ unset VIRTUAL_ENV
++ unset VIRTUAL_ENV_PROMPT
++ '[' '!' nondestructive = nondestructive ']'
++ VIRTUAL_ENV=/Users/leseb/Documents/AI/llama-stack/llamastack-foo
++ '[' darwin24 = cygwin ']'
++ '[' darwin24 = msys ']'
++ export VIRTUAL_ENV
++ _OLD_VIRTUAL_PATH='/Users/leseb/Documents/AI/llama-stack/.venv/bin:/opt/homebrew/opt/protobuf@21/bin:/opt/homebrew/opt/gnu-sed/libexec/gnubin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/usr/local/munki:/opt/podman/bin:/opt/homebrew/opt/protobuf@21/bin:/opt/homebrew/opt/gnu-sed/libexec/gnubin:/Users/leseb/.local/share/zinit/plugins/so-fancy---diff-so-fancy:/Users/leseb/.local/share/zinit/polaris/bin:/Users/leseb/.cargo/bin:/Users/leseb/Library/Application Support/Code/User/globalStorage/github.copilot-chat/debugCommand'
++ PATH='/Users/leseb/Documents/AI/llama-stack/llamastack-foo/bin:/Users/leseb/Documents/AI/llama-stack/.venv/bin:/opt/homebrew/opt/protobuf@21/bin:/opt/homebrew/opt/gnu-sed/libexec/gnubin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/usr/local/munki:/opt/podman/bin:/opt/homebrew/opt/protobuf@21/bin:/opt/homebrew/opt/gnu-sed/libexec/gnubin:/Users/leseb/.local/share/zinit/plugins/so-fancy---diff-so-fancy:/Users/leseb/.local/share/zinit/polaris/bin:/Users/leseb/.cargo/bin:/Users/leseb/Library/Application Support/Code/User/globalStorage/github.copilot-chat/debugCommand'
++ export PATH
++ '[' x '!=' x ']'
+++ basename /Users/leseb/Documents/AI/llama-stack/llamastack-foo
++ VIRTUAL_ENV_PROMPT='(llamastack-foo) '
++ export VIRTUAL_ENV_PROMPT
++ '[' -z '' ']'
++ '[' -z '' ']'
++ _OLD_VIRTUAL_PS1=
++ PS1='(llamastack-foo) '
++ export PS1
++ alias pydoc
++ true
++ hash -r
+ '[' -n '' ']'
+ '[' -n '' ']'
+ uv pip install --no-cache-dir llama-stack
Using Python 3.13.1 environment at: llamastack-foo
Resolved 50 packages in 1.25s
   Built fire==0.7.0
Prepared 50 packages in 1.22s
Installed 50 packages in 126ms
 + annotated-types==0.7.0
 + anyio==4.8.0
 + blobfile==3.0.0
 + certifi==2025.1.31
 + charset-normalizer==3.4.1
 + click==8.1.8
 + distro==1.9.0
 + filelock==3.17.0
 + fire==0.7.0
 + fsspec==2025.2.0
 + h11==0.14.0
 + httpcore==1.0.7
 + httpx==0.28.1
 + huggingface-hub==0.28.1
 + idna==3.10
 + jinja2==3.1.5
 + llama-models==0.1.2
 + llama-stack==0.1.2
 + llama-stack-client==0.1.2
 + lxml==5.3.1
 + markdown-it-py==3.0.0
 + markupsafe==3.0.2
 + mdurl==0.1.2
 + numpy==2.2.2
 + packaging==24.2
 + pandas==2.2.3
 + pillow==11.1.0
 + prompt-toolkit==3.0.50
 + pyaml==25.1.0
 + pycryptodomex==3.21.0
 + pydantic==2.10.6
 + pydantic-core==2.27.2
 + pygments==2.19.1
 + python-dateutil==2.9.0.post0
 + python-dotenv==1.0.1
 + pytz==2025.1
 + pyyaml==6.0.2
 + regex==2024.11.6
 + requests==2.32.3
 + rich==13.9.4
 + setuptools==75.8.0
 + six==1.17.0
 + sniffio==1.3.1
 + termcolor==2.5.0
 + tiktoken==0.8.0
 + tqdm==4.67.1
 + typing-extensions==4.12.2
 + tzdata==2025.1
 + urllib3==2.3.0
 + wcwidth==0.2.13
+ '[' -n '' ']'
+ printf 'Installing pip dependencies\n'
Installing pip dependencies
+ uv pip install datasets matplotlib autoevals transformers blobfile opentelemetry-sdk sentencepiece opentelemetry-exporter-otlp-proto-http ollama nltk redis pillow psycopg2-binary scikit-learn pandas faiss-cpu chromadb-client numpy chardet scipy aiohttp aiosqlite requests tqdm pypdf openai aiosqlite fastapi fire httpx uvicorn
Using Python 3.13.1 environment at: llamastack-foo
Resolved 105 packages in 37ms
Uninstalled 2 packages in 65ms
Installed 72 packages in 195ms
 + aiohappyeyeballs==2.4.6
 + aiohttp==3.11.12
 + aiosignal==1.3.2
 + aiosqlite==0.21.0
 + attrs==25.1.0
 + autoevals==0.0.119
 + backoff==2.2.1
 + braintrust-core==0.0.58
 + chardet==5.2.0
 + chevron==0.14.0
 + chromadb-client==0.6.3
 + contourpy==1.3.1
 + cycler==0.12.1
 + datasets==3.2.0
 + deprecated==1.2.18
 + dill==0.3.8
 + faiss-cpu==1.10.0
 + fastapi==0.115.8
 + fonttools==4.56.0
 + frozenlist==1.5.0
 - fsspec==2025.2.0
 + fsspec==2024.9.0
 + googleapis-common-protos==1.66.0
 + grpcio==1.70.0
 + importlib-metadata==8.5.0
 + jiter==0.8.2
 + joblib==1.4.2
 + jsonschema==4.23.0
 + jsonschema-specifications==2024.10.1
 + kiwisolver==1.4.8
 + levenshtein==0.26.1
 + matplotlib==3.10.0
 + monotonic==1.6
 + multidict==6.1.0
 + multiprocess==0.70.16
 + nltk==3.9.1
 - numpy==2.2.2
 + numpy==1.26.4
 + ollama==0.4.7
 + openai==1.61.1
 + opentelemetry-api==1.30.0
 + opentelemetry-exporter-otlp-proto-common==1.30.0
 + opentelemetry-exporter-otlp-proto-grpc==1.30.0
 + opentelemetry-exporter-otlp-proto-http==1.30.0
 + opentelemetry-proto==1.30.0
 + opentelemetry-sdk==1.30.0
 + opentelemetry-semantic-conventions==0.51b0
 + orjson==3.10.15
 + overrides==7.7.0
 + posthog==3.12.0
 + propcache==0.2.1
 + protobuf==5.29.3
 + psycopg2-binary==2.9.10
 + pyarrow==19.0.0
 + pyparsing==3.2.1
 + pypdf==5.3.0
 + rapidfuzz==3.12.1
 + redis==5.2.1
 + referencing==0.36.2
 + rpds-py==0.22.3
 + safetensors==0.5.2
 + scikit-learn==1.6.1
 + scipy==1.15.1
 + sentencepiece==0.2.0
 + starlette==0.45.3
 + tenacity==9.0.0
 + threadpoolctl==3.5.0
 + tokenizers==0.21.0
 + transformers==4.48.3
 + uvicorn==0.34.0
 + wrapt==1.17.2
 + xxhash==3.5.0
 + yarl==1.18.3
 + zipp==3.21.0
+ '[' -n 'sentence-transformers --no-deps#torch torchvision --index-url https://download.pytorch.org/whl/cpu' ']'
+ IFS='#'
+ read -ra parts
+ for part in '"${parts[@]}"'
+ echo 'sentence-transformers --no-deps'
sentence-transformers --no-deps
+ uv pip install sentence-transformers --no-deps
Using Python 3.13.1 environment at: llamastack-foo
Resolved 1 package in 141ms
Installed 1 package in 6ms
 + sentence-transformers==3.4.1
+ for part in '"${parts[@]}"'
+ echo 'torch torchvision --index-url https://download.pytorch.org/whl/cpu'
torch torchvision --index-url https://download.pytorch.org/whl/cpu
+ uv pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
Using Python 3.13.1 environment at: llamastack-foo
Resolved 13 packages in 2.15s
Installed 5 packages in 324ms
 + mpmath==1.3.0
 + networkx==3.3
 + sympy==1.13.1
 + torch==2.6.0
 + torchvision==0.21.0
Build Successful!
```

Run:

```
$ source llamastack-foo/bin/activate
$ INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" OLLAMA_INFERENCE_MODEL="llama3.2:3b-instruct-fp16" python -m llama_stack.distribution.server.server --yaml-config ./llama_stack/templates/ollama/run.yaml --port 5001 
Using config file: llama_stack/templates/ollama/run.yaml
Run configuration:
apis:
- agents
- datasetio
- eval
- inference
- safety
- scoring
- telemetry
- tool_runtime
- vector_io
container_image: null
datasets: []
eval_tasks: []
image_name: ollama
metadata_store:
  db_path: /Users/leseb/.llama/distributions/ollama/registry.db
  namespace: null
  type: sqlite
models:
- metadata: {}
  model_id: meta-llama/Llama-3.2-3B-Instruct
  model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType
  - llm
  provider_id: ollama
  provider_model_id: null
- metadata:
    embedding_dimension: 384
  model_id: all-MiniLM-L6-v2
  model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType
  - embedding
  provider_id: sentence-transformers
  provider_model_id: null
providers:
  agents:
  - config:
      persistence_store:
        db_path: /Users/leseb/.llama/distributions/ollama/agents_store.db
        namespace: null
        type: sqlite
    provider_id: meta-reference
    provider_type: inline::meta-reference
  datasetio:
  - config: {}
    provider_id: huggingface
    provider_type: remote::huggingface
  - config: {}
    provider_id: localfs
    provider_type: inline::localfs
  eval:
  - config: {}
    provider_id: meta-reference
    provider_type: inline::meta-reference
  inference:
  - config:
      url: http://localhost:11434
    provider_id: ollama
    provider_type: remote::ollama
  - config: {}
    provider_id: sentence-transformers
    provider_type: inline::sentence-transformers
  safety:
  - config: {}
    provider_id: llama-guard
    provider_type: inline::llama-guard
  scoring:
  - config: {}
    provider_id: basic
    provider_type: inline::basic
  - config: {}
    provider_id: llm-as-judge
    provider_type: inline::llm-as-judge
  - config:
      openai_api_key: '********'
    provider_id: braintrust
    provider_type: inline::braintrust
  telemetry:
  - config:
      service_name: llama-stack
      sinks: console,sqlite
      sqlite_db_path: /Users/leseb/.llama/distributions/ollama/trace_store.db
    provider_id: meta-reference
    provider_type: inline::meta-reference
  tool_runtime:
  - config:
      api_key: '********'
      max_results: 3
    provider_id: brave-search
    provider_type: remote::brave-search
  - config:
      api_key: '********'
      max_results: 3
    provider_id: tavily-search
    provider_type: remote::tavily-search
  - config: {}
    provider_id: code-interpreter
    provider_type: inline::code-interpreter
  - config: {}
    provider_id: rag-runtime
    provider_type: inline::rag-runtime
  vector_io:
  - config:
      kvstore:
        db_path: /Users/leseb/.llama/distributions/ollama/faiss_store.db
        namespace: null
        type: sqlite
    provider_id: faiss
    provider_type: inline::faiss
scoring_fns: []
server:
  port: 8321
  tls_certfile: null
  tls_keyfile: null
shields: []
tool_groups:
- args: null
  mcp_endpoint: null
  provider_id: tavily-search
  toolgroup_id: builtin::websearch
- args: null
  mcp_endpoint: null
  provider_id: rag-runtime
  toolgroup_id: builtin::rag
- args: null
  mcp_endpoint: null
  provider_id: code-interpreter
  toolgroup_id: builtin::code_interpreter
vector_dbs: []
version: '2'

Warning: `bwrap` is not available. Code interpreter tool will not work correctly.
modules.json: 100%|███████████████████████████████████████████████████████████| 349/349 [00:00<00:00, 485kB/s]
config_sentence_transformers.json: 100%|██████████████████████████████████████| 116/116 [00:00<00:00, 498kB/s]
README.md: 100%|█████████████████████████████████████████████████████████| 10.7k/10.7k [00:00<00:00, 20.5MB/s]
sentence_bert_config.json: 100%|████████████████████████████████████████████| 53.0/53.0 [00:00<00:00, 583kB/s]
config.json: 100%|███████████████████████████████████████████████████████████| 612/612 [00:00<00:00, 4.63MB/s]
model.safetensors: 100%|█████████████████████████████████████████████████| 90.9M/90.9M [00:02<00:00, 36.6MB/s]
tokenizer_config.json: 100%|█████████████████████████████████████████████████| 350/350 [00:00<00:00, 4.27MB/s]
vocab.txt: 100%|███████████████████████████████████████████████████████████| 232k/232k [00:00<00:00, 1.90MB/s]
tokenizer.json: 100%|██████████████████████████████████████████████████████| 466k/466k [00:00<00:00, 2.23MB/s]
special_tokens_map.json: 100%|███████████████████████████████████████████████| 112/112 [00:00<00:00, 1.47MB/s]
1_Pooling/config.json: 100%|██████████████████████████████████████████████████| 190/190 [00:00<00:00, 841kB/s]
Serving API tool_groups
 GET /v1/tools/{tool_name}
 GET /v1/toolgroups/{toolgroup_id}
 GET /v1/toolgroups
 GET /v1/tools
 POST /v1/toolgroups
 DELETE /v1/toolgroups/{toolgroup_id}
Serving API tool_runtime
 POST /v1/tool-runtime/invoke
 GET /v1/tool-runtime/list-tools
 POST /v1/tool-runtime/rag-tool/insert
 POST /v1/tool-runtime/rag-tool/query
Serving API vector_io
 POST /v1/vector-io/insert
 POST /v1/vector-io/query
Serving API telemetry
 GET /v1/telemetry/traces/{trace_id}/spans/{span_id}
 GET /v1/telemetry/spans/{span_id}/tree
 GET /v1/telemetry/traces/{trace_id}
 POST /v1/telemetry/events
 GET /v1/telemetry/spans
 GET /v1/telemetry/traces
 POST /v1/telemetry/spans/export
Serving API models
 GET /v1/models/{model_id}
 GET /v1/models
 POST /v1/models
 DELETE /v1/models/{model_id}
Serving API eval
 POST /v1/eval/tasks/{task_id}/evaluations
 DELETE /v1/eval/tasks/{task_id}/jobs/{job_id}
 GET /v1/eval/tasks/{task_id}/jobs/{job_id}/result
 GET /v1/eval/tasks/{task_id}/jobs/{job_id}
 POST /v1/eval/tasks/{task_id}/jobs
Serving API datasets
 GET /v1/datasets/{dataset_id}
 GET /v1/datasets
 POST /v1/datasets
 DELETE /v1/datasets/{dataset_id}
Serving API scoring_functions
 GET /v1/scoring-functions/{scoring_fn_id}
 GET /v1/scoring-functions
 POST /v1/scoring-functions
Serving API inspect
 GET /v1/health
 GET /v1/inspect/providers
 GET /v1/inspect/routes
 GET /v1/version
Serving API scoring
 POST /v1/scoring/score
 POST /v1/scoring/score-batch
Serving API shields
 GET /v1/shields/{identifier}
 GET /v1/shields
 POST /v1/shields
Serving API vector_dbs
 GET /v1/vector-dbs/{vector_db_id}
 GET /v1/vector-dbs
 POST /v1/vector-dbs
 DELETE /v1/vector-dbs/{vector_db_id}
Serving API eval_tasks
 GET /v1/eval-tasks/{eval_task_id}
 GET /v1/eval-tasks
 POST /v1/eval-tasks
Serving API agents
 POST /v1/agents
 POST /v1/agents/{agent_id}/session
 POST /v1/agents/{agent_id}/session/{session_id}/turn
 DELETE /v1/agents/{agent_id}
 DELETE /v1/agents/{agent_id}/session/{session_id}
 GET /v1/agents/{agent_id}/session/{session_id}
 GET /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}
 GET /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}
Serving API inference
 POST /v1/inference/chat-completion
 POST /v1/inference/completion
 POST /v1/inference/embeddings
Serving API datasetio
 POST /v1/datasetio/rows
 GET /v1/datasetio/rows
Serving API safety
 POST /v1/safety/run-shield

Listening on ['::', '0.0.0.0']:5001
INFO:     Started server process [39145]
INFO:     Waiting for application startup.
INFO:     ASGI 'lifespan' protocol appears unsupported.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://['::', '0.0.0.0']:5001 (Press CTRL+C to quit)
```

## Sources

Please link relevant resources if necessary.


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-02-14 09:22:03 -08:00

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# 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 importlib.resources
import logging
import sys
from enum import Enum
from pathlib import Path
from typing import Dict, List
from pydantic import BaseModel
from termcolor import cprint
from llama_stack.distribution.datatypes import BuildConfig, Provider
from llama_stack.distribution.distribution import get_provider_registry
from llama_stack.distribution.utils.config_dirs import BUILDS_BASE_DIR
from llama_stack.distribution.utils.exec import run_command, run_with_pty
from llama_stack.providers.datatypes import Api
log = logging.getLogger(__name__)
# These are the dependencies needed by the distribution server.
# `llama-stack` is automatically installed by the installation script.
SERVER_DEPENDENCIES = [
"aiosqlite",
"fastapi",
"fire",
"httpx",
"uvicorn",
]
class ImageType(Enum):
container = "container"
conda = "conda"
venv = "venv"
class ApiInput(BaseModel):
api: Api
provider: str
def get_provider_dependencies(
config_providers: Dict[str, List[Provider]],
) -> tuple[list[str], list[str]]:
"""Get normal and special dependencies from provider configuration."""
all_providers = get_provider_registry()
deps = []
for api_str, provider_or_providers in config_providers.items():
providers_for_api = all_providers[Api(api_str)]
providers = provider_or_providers if isinstance(provider_or_providers, list) else [provider_or_providers]
for provider in providers:
# Providers from BuildConfig and RunConfig are subtly different  not great
provider_type = provider if isinstance(provider, str) else provider.provider_type
if provider_type not in providers_for_api:
raise ValueError(f"Provider `{provider}` is not available for API `{api_str}`")
provider_spec = providers_for_api[provider_type]
deps.extend(provider_spec.pip_packages)
if provider_spec.container_image:
raise ValueError("A stack's dependencies cannot have a container image")
normal_deps = []
special_deps = []
for package in deps:
if "--no-deps" in package or "--index-url" in package:
special_deps.append(package)
else:
normal_deps.append(package)
return list(set(normal_deps)), list(set(special_deps))
def print_pip_install_help(providers: Dict[str, List[Provider]]):
normal_deps, special_deps = get_provider_dependencies(providers)
cprint(
f"Please install needed dependencies using the following commands:\n\nuv pip install {' '.join(normal_deps)}",
"yellow",
)
for special_dep in special_deps:
cprint(f"uv pip install {special_dep}", "yellow")
print()
def build_image(
build_config: BuildConfig,
build_file_path: Path,
image_name: str,
template_or_config: str,
):
container_base = build_config.distribution_spec.container_image or "python:3.10-slim"
normal_deps, special_deps = get_provider_dependencies(build_config.distribution_spec.providers)
normal_deps += SERVER_DEPENDENCIES
if build_config.image_type == ImageType.container.value:
script = str(importlib.resources.files("llama_stack") / "distribution/build_container.sh")
args = [
script,
template_or_config,
image_name,
container_base,
str(build_file_path),
str(BUILDS_BASE_DIR / ImageType.container.value),
" ".join(normal_deps),
]
elif build_config.image_type == ImageType.conda.value:
script = str(importlib.resources.files("llama_stack") / "distribution/build_conda_env.sh")
args = [
script,
str(image_name),
str(build_file_path),
" ".join(normal_deps),
]
elif build_config.image_type == ImageType.venv.value:
script = str(importlib.resources.files("llama_stack") / "distribution/build_venv.sh")
args = [
script,
str(image_name),
" ".join(normal_deps),
]
if special_deps:
args.append("#".join(special_deps))
is_terminal = sys.stdin.isatty()
if is_terminal:
return_code = run_with_pty(args)
else:
return_code = run_command(args)
if return_code != 0:
log.error(
f"Failed to build target {image_name} with return code {return_code}",
)
return return_code