Hermes Client
Async Python client for Hermes search server.
Installation
pip install hermes-client-python
Quick Start
import asyncio
from hermes_client_python import HermesClient
async def main():
async with HermesClient("localhost:50051") as client:
# Create index with SDL schema
await client.create_index(
"articles",
"""
index articles {
field title: text [indexed, stored]
field body: text [indexed, stored]
field score: f64 [stored]
}
""",
)
# Index documents
await client.index_documents(
"articles",
[
{"title": "Hello World", "body": "First article", "score": 1.5},
{"title": "Goodbye World", "body": "Last article", "score": 2.0},
],
)
# Commit changes
await client.commit("articles")
# Search
results = await client.search("articles", term=("title", "hello"), limit=10)
for hit in results.hits:
print(f"Doc {hit.doc_id}: score={hit.score}, fields={hit.fields}")
# Get document by ID
doc = await client.get_document("articles", 0)
print(doc.fields)
# Delete index
await client.delete_index("articles")
asyncio.run(main())
API Reference
HermesClient
client = HermesClient(address="localhost:50051")
Connection
# Using context manager (recommended)
async with HermesClient("localhost:50051") as client:
...
# Manual connection
client = HermesClient("localhost:50051")
await client.connect()
# ... use client ...
await client.close()
Index Management
# Create index with SDL schema
await client.create_index(
"myindex",
"""
index myindex {
field title: text [indexed, stored]
field body: text [indexed, stored]
}
""",
)
# Create index with JSON schema
await client.create_index(
"myindex",
"""
{
"fields": [
{"name": "title", "type": "text", "indexed": true, "stored": true},
{"name": "body", "type": "text", "indexed": true, "stored": true}
]
}
""",
)
# Get index info
info = await client.get_index_info("myindex")
print(f"Documents: {info.num_docs}, Segments: {info.num_segments}")
# Delete index
await client.delete_index("myindex")
Document Indexing
# Index multiple documents (batch)
indexed, errors = await client.index_documents(
"myindex",
[
{"title": "Doc 1", "body": "Content 1"},
{"title": "Doc 2", "body": "Content 2"},
],
)
# Index single document
await client.index_document("myindex", {"title": "Doc", "body": "Content"})
# Stream documents (for large datasets)
async def doc_generator():
for i in range(10000):
yield {"title": f"Doc {i}", "body": f"Content {i}"}
count = await client.index_documents_stream("myindex", doc_generator())
# Commit changes (required to make documents searchable)
num_docs = await client.commit("myindex")
# Force merge segments (for optimization)
num_segments = await client.force_merge("myindex")
Searching
# Term query
results = await client.search("myindex", term=("title", "hello"), limit=10)
# Boolean query
results = await client.search(
"myindex",
boolean={
"must": [("title", "hello")],
"should": [("body", "world")],
"must_not": [("title", "spam")],
},
)
# With pagination
results = await client.search("myindex", term=("title", "hello"), limit=10, offset=20)
# With field loading
results = await client.search(
"myindex", term=("title", "hello"), fields_to_load=["title", "body"]
)
# Access results
for hit in results.hits:
print(f"Doc {hit.doc_id}: {hit.score}")
print(f" Title: {hit.fields.get('title')}")
print(f"Total hits: {results.total_hits}")
print(f"Took: {results.took_ms}ms")
Document Retrieval
# Get document by ID
doc = await client.get_document("myindex", doc_id=42)
if doc:
print(doc.fields["title"])
Field Types
| Type | Python Type | Description |
|---|---|---|
text |
str |
Full-text searchable string |
u64 |
int (>= 0) |
Unsigned 64-bit integer |
i64 |
int |
Signed 64-bit integer |
f64 |
float |
64-bit floating point |
bytes |
bytes |
Binary data |
json |
dict / list |
JSON object (auto-serialized) |
dense_vector |
list[float] |
Dense vector for semantic search |
sparse_vector |
dict |
Sparse vector with indices and values |
Error Handling
import grpc
try:
await client.search("nonexistent", term=("field", "value"))
except grpc.RpcError as e:
if e.code() == grpc.StatusCode.NOT_FOUND:
print("Index not found")
else:
raise
Development
Generate protobuf stubs:
pip install grpcio-tools
python generate_proto.py
License
MIT
Timeouts / deadlines
Every RPC accepts an optional timeout (seconds) which sets a gRPC deadline;
a client-wide default can be set in the constructor. On expiry the call
raises grpc.aio.AioRpcError with DEADLINE_EXCEEDED.
client = HermesClient("localhost:50051", default_timeout=5.0)
results = await client.search("articles", query={...}, timeout=0.5) # per-call override
await client.force_merge("articles", timeout=3600) # long op, long deadline
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