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import asyncio
import hashlib
import logging
import os
import socket
import subprocess
import sys
from typing import Any, AsyncGenerator
from urllib.parse import urlparse
import chromadb
import httpx
from chromadb.api import AsyncClientAPI
from chromadb.api.models.AsyncCollection import AsyncCollection
from chromadb.config import APIVersion, Settings
from chromadb.utils import embedding_functions
from vectorcode.cli_utils import Config, expand_path
logger = logging.getLogger(name=__name__)
async def get_collections(
client: AsyncClientAPI,
) -> AsyncGenerator[AsyncCollection, None]:
for collection_name in await client.list_collections():
collection = await client.get_collection(collection_name, None)
meta = collection.metadata
if meta is None:
continue
if meta.get("created-by") != "VectorCode":
continue
if meta.get("username") not in (
os.environ.get("USER"),
os.environ.get("USERNAME"),
"DEFAULT_USER",
):
continue
if meta.get("hostname") != socket.gethostname():
continue
yield collection
async def try_server(base_url: str):
for ver in ("v1", "v2"): # v1 for legacy, v2 for latest chromadb.
heartbeat_url = f"{base_url}/api/{ver}/heartbeat"
try:
async with httpx.AsyncClient() as client:
response = await client.get(url=heartbeat_url)
logger.debug(f"Heartbeat {heartbeat_url} returned {response=}")
if response.status_code == 200:
return True
except (httpx.ConnectError, httpx.ConnectTimeout):
pass
return False
async def wait_for_server(url: str, timeout=10):
# Poll the server until it's ready or timeout is reached
start_time = asyncio.get_event_loop().time()
while True:
if await try_server(url):
return
if asyncio.get_event_loop().time() - start_time > timeout:
raise TimeoutError(f"Server did not start within {timeout} seconds.")
await asyncio.sleep(0.1) # Wait before retrying
async def start_server(configs: Config):
assert configs.db_path is not None
db_path = os.path.expanduser(configs.db_path)
configs.db_log_path = os.path.expanduser(configs.db_log_path)
if not os.path.isdir(configs.db_log_path):
os.makedirs(configs.db_log_path)
if not os.path.isdir(db_path):
logger.warning(
f"Using local database at {os.path.expanduser('~/.local/share/vectorcode/chromadb/')}.",
)
db_path = os.path.expanduser("~/.local/share/vectorcode/chromadb/")
env = os.environ.copy()
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.bind(("", 0)) # OS selects a free ephemeral port
port = int(s.getsockname()[1])
logger.warning(f"Starting bundled ChromaDB server at http://127.0.0.1:{port}.")
env.update({"ANONYMIZED_TELEMETRY": "False"})
process = await asyncio.create_subprocess_exec(
sys.executable,
"-m",
"chromadb.cli.cli",
"run",
"--host",
"localhost",
"--port",
str(port),
"--path",
db_path,
"--log-path",
os.path.join(str(configs.db_log_path), "chroma.log"),
stdout=subprocess.DEVNULL,
stderr=sys.stderr,
env=env,
)
await wait_for_server(f"http://127.0.0.1:{port}")
return process
__CLIENT_CACHE: dict[str, AsyncClientAPI] = {}
async def get_client(configs: Config) -> AsyncClientAPI:
client_entry = configs.db_url
if __CLIENT_CACHE.get(client_entry) is None:
settings: dict[str, Any] = {"anonymized_telemetry": False}
if isinstance(configs.db_settings, dict):
valid_settings = {
k: v for k, v in configs.db_settings.items() if k in Settings.__fields__
}
settings.update(valid_settings)
parsed_url = urlparse(configs.db_url)
settings["chroma_server_host"] = parsed_url.hostname or "127.0.0.1"
settings["chroma_server_http_port"] = parsed_url.port or 8000
settings["chroma_server_ssl_enabled"] = parsed_url.scheme == "https"
settings["chroma_server_api_default_path"] = parsed_url.path or APIVersion.V2
settings_obj = Settings(**settings)
__CLIENT_CACHE[client_entry] = await chromadb.AsyncHttpClient(
settings=settings_obj,
host=str(settings_obj.chroma_server_host),
port=int(settings_obj.chroma_server_http_port or 8000),
)
return __CLIENT_CACHE[client_entry]
def get_collection_name(full_path: str) -> str:
full_path = str(expand_path(full_path, absolute=True))
hasher = hashlib.sha256()
plain_collection_name = f"{os.environ.get('USER', os.environ.get('USERNAME', 'DEFAULT_USER'))}@{socket.gethostname()}:{full_path}"
hasher.update(plain_collection_name.encode())
collection_id = hasher.hexdigest()[:63]
logger.debug(
f"Hashing {plain_collection_name} as the collection name for {full_path}."
)
return collection_id
def get_embedding_function(configs: Config) -> chromadb.EmbeddingFunction | None:
try:
return getattr(embedding_functions, configs.embedding_function)(
**configs.embedding_params
)
except AttributeError:
logger.warning(
f"Failed to use {configs.embedding_function}. Falling back to Sentence Transformer.",
)
return embedding_functions.SentenceTransformerEmbeddingFunction()
except Exception as e:
e.add_note(
"\nFor errors caused by missing dependency, consult the documentation of pipx (or whatever package manager that you installed VectorCode with) for instructions to inject libraries into the virtual environment."
)
logger.error(
f"Failed to use {configs.embedding_function} with following error.",
)
raise
__COLLECTION_CACHE: dict[str, AsyncCollection] = {}
async def get_collection(
client: AsyncClientAPI, configs: Config, make_if_missing: bool = False
):
"""
Raise ValueError when make_if_missing is False and no collection is found;
Raise IndexError on hash collision.
"""
assert configs.project_root is not None
full_path = str(expand_path(str(configs.project_root), absolute=True))
if __COLLECTION_CACHE.get(full_path) is None:
collection_name = get_collection_name(full_path)
embedding_function = get_embedding_function(configs)
collection_meta: dict[str, str | int] = {
"path": full_path,
"hostname": socket.gethostname(),
"created-by": "VectorCode",
"username": os.environ.get(
"USER", os.environ.get("USERNAME", "DEFAULT_USER")
),
"embedding_function": configs.embedding_function,
}
if configs.hnsw:
for key in configs.hnsw.keys():
target_key = key
if not key.startswith("hnsw:"):
target_key = f"hnsw:{key}"
collection_meta[target_key] = configs.hnsw[key]
logger.debug(
f"Getting/Creating collection with the following metadata: {collection_meta}"
)
if not make_if_missing:
__COLLECTION_CACHE[full_path] = await client.get_collection(
collection_name, embedding_function
)
else:
collection = await client.get_or_create_collection(
collection_name,
metadata=collection_meta,
embedding_function=embedding_function,
)
if (
not collection.metadata.get("hostname") == socket.gethostname()
or collection.metadata.get("username")
not in (
os.environ.get("USER"),
os.environ.get("USERNAME"),
"DEFAULT_USER",
)
or not collection.metadata.get("created-by") == "VectorCode"
):
logger.error(
f"Failed to use existing collection due to metadata mismatch: {collection_meta}"
)
raise IndexError(
"Failed to create the collection due to hash collision. Please file a bug report."
)
__COLLECTION_CACHE[full_path] = collection
return __COLLECTION_CACHE[full_path]
def verify_ef(collection: AsyncCollection, configs: Config):
collection_ef = collection.metadata.get("embedding_function")
collection_ep = collection.metadata.get("embedding_params")
if collection_ef and collection_ef != configs.embedding_function:
logger.error(f"The collection was embedded using {collection_ef}.")
logger.error(
"Embeddings and query must use the same embedding function and parameters. Please double-check your config."
)
return False
elif collection_ep and collection_ep != configs.embedding_params:
logger.warning(
f"The collection was embedded with a different set of configurations: {collection_ep}. The result may be inaccurate.",
)
return True