8000 Fix list[] -> List[] type hint for Python < 3.9 compatibility by bddppq · Pull Request #7 · jiggy-ai/hnsqlite · GitHub
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Fix list[] -> List[] type hint for Python < 3.9 compatibility #7

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Fix list[] -> List[] type hint for Python < 3.9 compatibility #7

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200af64
Fix list[] -> List[] type hint for Python < 3.9 compatibility
bddppq May 11, 2023
1f63bc5
update pyproject.toml
bddppq May 11, 2023
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6 changes: 3 additions & 3 deletions hnsqlite/collection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,7 @@ def vector_as_array(self) -> np.array:
"""
return np.frombuffer(self.vector, dtype=np.float32)

def vector_as_list(self) -> list[float]:
def vector_as_list(self) -> List[float]:
"""
return the stored vector as a numpy array
"""
Expand Down Expand Up @@ -126,7 +126,7 @@ class Embedding(BaseModel):
"""
An Embedding as sent to/from the Collection API
"""
vector: list[float] = Field(description='The user-supplied vector element as stored as a list of floats. Can be sent in as a numpy array and will be converted to a list of floats.')
vector: List[float] = Field(description='The user-supplied vector element as stored as a list of floats. Can be sent in as a numpy array and will be converted to a list of floats.')
text: str = Field(description="The text that was input to the model to generate this embedding.")
doc_id: Optional[str] = Field(description="An optional document_id associated with the embedding.")
metadata: Optional[dict] = Field(description="An optional dictionary of metadata associated with the text")
Expand Down Expand Up @@ -319,7 +319,7 @@ def make_index(self, M = 16, ef_construction = 200, delete_previous_index=True)
count = 0
BATCH_SIZE = CPU_COUNT*16
# batches process of embeddings for efficiency
def process_batch(batch : list[dbEmbedding]):
def process_batch(batch : List[dbEmbedding]):
# add batch of document embeddings to index
hnsw_ix.add_items([e.vector_as_array() for e in batch], [e.id for e in batch])
logger.info(f"hnsw_index.add_items vectors/sec: {count/(time() - t0):.1f} ; total vectors: {count}")
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -11,7 +11,7 @@ authors = [
dependencies=['sqlmodel', 'hnswlib', 'psutil', 'numpy', 'loguru']
description = "A minimalist integration of sqlite and hnswlib focused on providing simple embedding persistence and search for text applications."
readme = "README.md"
requires-python = ">=3.9"
requires-python = ">=3.7"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
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