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meilisearch-python-sdk

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An async and sync Python client for the Meilisearch API

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# Meilisearch Python SDK

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Meilisearch Python SDK provides both an async and sync client for the
[Meilisearch](https://github.com/meilisearch/meilisearch) API.

Which client to use depends on your use case. If the code base you are working with uses asyncio,
for example if you are using [FastAPI](https://fastapi.tiangolo.com/), choose the `AsyncClient`,
otherwise choose the sync `Client`. The functionality of the two clients is the same, the difference
being that the `AsyncClient` provides async methods and uses the `AsyncIndex` with its own
additional async methods. On the other hand, `Client` provides blocking methods and uses the `Index`
with its own blocking methods.

## Installation

Using a virtual environment is recommended for installing this package. Once the virtual
environment is created and activated, install the package with:

```sh
pip install meilisearch-python-sdk
```

Installing with the orjson extra will make JSON serilization/deserilization faster.

```sh
pip install meilisearch-python-sdk[orjson]
```

## Run Meilisearch

There are several ways to
[run Meilisearch](https://www.meilisearch.com/docs/learn/getting_started/installation).
Pick the one that works best for your use case and then start the server.

As as example to use Docker:

```sh
docker pull getmeili/meilisearch:latest
docker run -it --rm -p 7700:7700 getmeili/meilisearch:latest ./meilisearch --master-key=masterKey
```

## Usage

### Add Documents

#### AsyncClient

- Note: `client.index("books") creates an instance of an AsyncIndex object but does not make a
  network call to send the data yet so it does not need to be awaited.

```py
from meilisearch_python_sdk import AsyncClient

async with AsyncClient('http://127.0.0.1:7700', 'masterKey') as client:
    index = client.index("books")

documents = [
        {"id": 1, "title": "Ready Player One"},
        {"id": 42, "title": "The Hitchhiker's Guide to the Galaxy"},
    ]

await index.add_documents(documents)
```

#### Client

```py
from meilisearch_python_sdk import Client

with Client('http://127.0.0.1:7700', 'masterKey') as client:
    index = client.index("books")

documents = [
        {"id": 1, "title": "Ready Player One"},
        {"id": 42, "title": "The Hitchhiker's Guide to the Galaxy"},
    ]

index.add_documents(documents)
```

The server will return an update id that can be used to
[get the status](https://www.meilisearch.com/docs/reference/api/tasks#status)
of the updates. To do this you would save the result response from adding the documents to a
variable, this will be an `UpdateId` object, and use it to check the status of the updates.

#### AsyncClient

```py
task = await index.add_documents([{"id": 1, "title": "test"}])
status = await client.get_task(task.task_uid)
```

#### Client

```py
task = index.add_documents([{"id": 1, "title": "test"}])
status = client.get_task(task.task_uid)
```

### Basic Searching

#### AsyncClient

```py
search_result = await index.search("ready player")
```

#### Client

```py
search_result = index.search("ready player")
```

### Base Search Results: SearchResults object with values

```py
SearchResults(
    hits = [
        {
            "id": 1,
            "title": "Ready Player One",
        },
    ],
    offset = 0,
    limit = 20,
    nb_hits = 1,
    exhaustive_nb_hits = bool,
    facets_distributionn = None,
    processing_time_ms = 1,
    query = "ready player",
)
```

### Custom Search

Information about the parameters can be found in the
[search parameters](https://www.meilisearch.com/docs/reference/api/search/search-with-post) section
of the documentation.

#### AsyncClient

```py
await index.search(
    "guide",
    attributes_to_highlight=["title"],
    filters="book_id > 10"
)
```

#### Client

```py
index.search(
    "guide",
    attributes_to_highlight=["title"],
    filters="book_id > 10"
)
```

### Custom Search Results: SearchResults object with values

```py
SearchResults(
    hits = [
        {
            "id": 42,
            "title": "The Hitchhiker's Guide to the Galaxy",
            "_formatted": {
                "id": 42,
                "title": "The Hitchhiker's Guide to the <em>Galaxy</em>"
            }
        },
    ],
    offset = 0,
    limit = 20,
    nb_hits = 1,
    exhaustive_nb_hits = bool,
    facets_distributionn = None,
    processing_time_ms = 5,
    query = "galaxy",
)
```

## Benchmark

The following benchmarks compare this library to the official
[Meilisearch Python](https://github.com/meilisearch/meilisearch-python) library. Note that all
of the performance gains seen with the `AsyncClient` are achieved by taking advantage of asyncio.
This means that if your code is not taking advantage of asyncio or it does not block the event loop,
the gains here will not be seen and the performance between the clients will be very similar.

### Add Documents in Batches

This test compares how long it takes to send 1 million documents in batches of 1 thousand to the
Meilisearch server for indexing (lower is better). The time does not take into account how long
Meilisearch takes to index the documents since that is outside of the library functionality.

![Add Documents in Batches](https://raw.githubusercontent.com/sanders41/meilisearch-python-sdk/main/assets/add_in_batches.png)

### Multiple Searches

This test compares how long it takes to complete 1000 searches (lower is better)

![Multiple Searches](https://raw.githubusercontent.com/sanders41/meilisearch-python-sdk/main/assets/searches.png)

### Independent testing

[Prashanth Rao](https://github.com/prrao87) did some independent testing and found this async client
to be ~30% faster than the sync client for data ingestion. You can find a good write-up of the
results how he tested them in his [blog post](https://thedataquarry.com/posts/meilisearch-async/).

## Documentation

See our [docs](https://meilisearch-python-sdk.paulsanders.dev) for the full documentation.

## Contributing

Contributions to this project are welcome. If you are interested in contributing please see our
[contributing guide](CONTRIBUTING.md)

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